Статті в журналах з теми "Condition monitoring and main air pollutants"
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1
Salcido, Alejandro, Susana Carreón-Sierra, and Ana-Teresa Celada-Murillo. "Air Pollution Flow Patterns in the Mexico City Region." Climate 7, no. 11 (November 5, 2019): 128. http://dx.doi.org/10.3390/cli7110128.
Повний текст джерелаАнотація:
According to the Mexico City Emissions Inventory, mobile sources are responsible for approximately 86% of nitrogen oxide emissions in this region, and correspond to a NOx emission of 51 and 58 kilotons per year in Mexico City and the State of Mexico, respectively. Ozone levels in this region are often high and persist as one of the main problems of air pollution. Identifying the main scenarios for the transport and dispersion of air pollutants requires the knowledge of their flow patterns. This work examines the surface flow patterns of air pollutants (NO2, O3, SO2, and PM10) in the area of Mexico City (a region with strong orographic influences) over the period 2001–2010. The flow condition of a pollutant depends on the spatial distribution of its concentration and the mode of wind circulation in the region. We achieved the identification and characterization of the pollutant flow patterns through the exploitation of the 1-hour average values of the pollutant concentrations and wind data provided by the atmospheric monitoring network of Mexico City and the application of the k-means method of cluster analysis. The data objects for the cluster analysis were obtained by modeling Mexico City as a 4-cell spatial domain and describing, for each pollutant, the flow state in a cell by the spatial averages of the horizontal pollutant flow vector and its gradients (the divergence and curl of the flow vector). We identified seven patterns for wind circulation and nine patterns for each of NO2, O3, PM10, and SO2 pollutant flows. Their seasonal and annual average intensities and probabilities of occurrence were estimated.
2
Tarasov, Volodymyr, Bohdan Molodets, Тatyana Bulanaya, and Oleg Baybuz. "Analysis of existing air monitoring technologies." System technologies 3, no. 134 (April 5, 2021): 67–78. http://dx.doi.org/10.34185/1562-9945-3-134-2021-08.
Повний текст джерелаАнотація:
Atmospheric air monitoring is a systematic, long-term assessment of the level of certain types of pollutants by measuring their amount in the open air. Atmospheric air monitoring is an integral part of an effective air quality management system and is carried out through environmental monitoring networks, which should support timely provision of public information about air pollution, support compliance with ambient air quality standards and development of emission strategies, support for air pollution research.The work is devoted to existing air monitoring technologies: ground (sensors, diffusion tubes, etc.) and remote resources (satellites, aircraft, etc.). In addition, standards of air quality assessment (European and American) are described. As an example, we consider the European Air Quality Index (EAQI) and the Air Quality Index according to EPF standards: indicators by which these indices are calculated, the ranking of air status depending on the value of the index are described.AQI (Air Quality Index) is used as an indicator of the impact of air on the human condition. The European Air Quality Index allows users to better understand air quality where they live, work or travel. By displaying information for Europe, users can gain an understanding of air quality in individual countries, regions and cities. The index is based on the values of the concentration of the five main pollutants, including particles less than 10μm (PM10), particles less than 2.5μm (PM2.5), ozone (O3); nitrogen dioxide (NO2); sulfur dioxide (SO2). To conclude, ground stations give a more accurate picture of the state of the air at a point, while satellite image data with a certain error (due to cloud cover, etc.) can cover a larger area and solve the problem of coverage of stations in the area. There is no single standard for calculation. Today, the European Air Quality Index (EAQI) is used in Ukraine and Europe.
3
Su, Rong Jun. "Impact Evaluation on Air and Acoustic Environment of an Integrated Circuit Project." Applied Mechanics and Materials 209-211 (October 2012): 1541–44. http://dx.doi.org/10.4028/www.scientific.net/amm.209-211.1541.
Повний текст джерелаАнотація:
To assess environmental feasibility of integrated circuit industry and predict it’s influence on air and acoustic emvironment, the current situations and impact assesment on air and sound environment were done. Survey on air pollution sources indicated that smoke dust was the main exhaust pollutants accounting for 88.5% of the total and SO2 was the second. Current situation of monitoring shows that all measured items can satisfy the requirements of the standards except the daily average concentration of PM10. Gas pollutants in waste gases can be removed 85~ 95% after purified. Noises on proposed project area during night and day are all accord with the third or fourth class standards of 《Standard of Environmental Noise of Urban Area》. Noises in the project can meet level Ⅲ standards of 《Standard of Noise at Boundary of Industrial Enterprises》. So this project has little influence on surrounding air and sound environment. Therefore on the condition of adopting corresponding treatment measures, this project is feasible on aspects of air and sound environment.
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Gorsky, Andrey. "ASSESSMENT OF THE TECHNOGENIC IMPACT OF STATIONARY SOURCES OF POLLUTION ON THE CONDITION OF THE AIR POOL OF THE KYIV AGGLOMERATION." Environmental Economics and Sustainable Development, no. 9(28) (2021): 72–79. http://dx.doi.org/10.37100/2616-7689.2021.9(28).10.
Повний текст джерелаАнотація:
The aim of the article is to assess the impact of stationary sources of pollution of the Kyiv agglomeration on the state of its air basin. Atmospheric air pollution is known to be one of the leading elements in assessing the quality of human habitat because it has a detrimental effect on human health. The object of the study is the state of the atmospheric air of the agglomeration. The subject of the study is air pollution by stationary sources, identification of major pollutants, assessment of their man-made load on the air by emissions, by types of harmful substances, taking into account their danger by the values of maximum permissible daily concentrations and hazard class. Scientific and methodological support of monitoring tasks, comprehensive assessment of air pollution of agglomerations, both cities and their rural areas, is becoming increasingly important, especially where there are powerful stationary sources of air pollution. In the course of the research the enterprises – the main air pollutants of the agglomeration were identified, their emissions by types of harmful impurities were analyzed. The calculation of indicators of the hazard category of enterprises (HCE) on the volume of emissions, taking into account the values of the maximum allowable average daily concentrations and the hazard class of pollutants. To conduct a comprehensive assessment of man-made impact on the air, the calculation of the hazard indicator of the emission structure (HES) is proposed and their calculation is performed for certain enterprises. According to the proposed methodological approach, the values of aggregate indicators of man-caused load (MCLI) for stationary sources of pollution by numerical values of their HCE and HES are obtained. They comprehensively reflect the load on the air both due to emissions and due to the danger of harmful substances. Important measures to reduce volumes and improve the risk of emissions of harmful substances at enterprises are also indicated. Undoubtedly, promising methods are the study of air pollution in large cities and agglomerations, which are based on the use of geographic information technologies.
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Maranzano, Paolo. "Air Quality in Lombardy, Italy: An Overview of the Environmental Monitoring System of ARPA Lombardia." Earth 3, no. 1 (February 7, 2022): 172–203. http://dx.doi.org/10.3390/earth3010013.
Повний текст джерелаАнотація:
In this paper, we describe the structure and the features of the air quality and meteorological monitoring system adopted in the Lombardy region in Northern Italy. We are interested in describing which data the Regional Agency for Environmental Protection (ARPA Lombardia) must collect, how this process takes place and how they are disseminated to the public for institutional communication and research purposes. ARPA monitors the atmospheric conditions through a dense ground monitoring network composed mainly by permanent stations, but also by mobile samplers. We describe in a detailed fashion the structure of the network: how many stations the network consists of, their locations, which pollutants and weather events are monitored and with what frequency. Our main objective is to present to an international audience the case study of ARPA Lombardia and the main available public data, explicitly stating the sources of information and how to find them, and encouraging international researchers to deal with the subject. In spite of the significant and extensive efforts made to counteract the phenomenon of air pollution, the air quality recorded in the region is very poor, and the local authorities are struggling to comply with international regulations on the concentration of pollutants in the air, making Lombardy a relevant international case. In addition, we present in a synthetic and descriptive way, without any modeling ambition, some data observed in the last years in Lombardy regarding meteorology and the main pollutants (oxides and particulate matters). The empirical descriptive results have been obtained by analyzing sample data provided by ARPA Lombardia through the same sources described in the sections dedicated to the Agency. From the graphical analysis, it is noticeable that at aggregate (regional) level, the concentrations are affected by significant decreasing trends, but at a rather contained speed. This is particularly true for the concentrations of oxides (NO2 and NOX) in urban and industrial areas. However, particulate matters and ozone show a high persistence in the average concentrations, interrupted only by the alternation of climatic seasons. The data also show that the meteorology of the region does not seem favorable for the improvement of air quality, as the region is characterized by low precipitation, and wind almost everywhere is not very intense. This situation could be induced by the unfavorable geography of the area, which prevents adequate air recycling and facilitates the stagnation of pollutants. We suggest that any public policy intervention aimed at improving the air quality situation in the region should take into account this empirical evidence in the impact assessment phase.
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Majder-Łopatka, Małgorzata, Wioletta Rogula-Kozłowska, and Wiktor Wąsik. "The application of stand-off infrared detection to identify air pollutants." E3S Web of Conferences 44 (2018): 00104. http://dx.doi.org/10.1051/e3sconf/20184400104.
Повний текст джерелаАнотація:
Fourier-transform infrared spectroscopy (FT-IR) enables the passive detection and identification of chemical agent clouds from distances. It can be used for the monitoring of large spaces and protection of industrial installations outside buildings. The aim of the study was show the possibilities and limitations of passive FT-IR. In studies done by the Faculty of Fire Safety Engineering at the Main School of Fire Service were used spectrometer RAPID (Remote Air Pollution Infrared Detector), Bruker Daltonics Company. Hazardous substances such as acetone, methanol, ammonia was identified on-line from several observation points at 25 m, 50 m and 75 m. The tests were carried out at various meteorological conditions. The results indicate that remote infrared detection allows detecting hazardous chemical agents in the atmosphere from a distance. Nevertheless, meteorological and terrain conditions have a big impact on the measurement results. During measurements, the detector indicated the presence of other substances. Moreover, it was found that under cloudy and windy weather, remote detection is not possible.
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Lu, Mei Fang, and Jim Jui Min Lin. "Variation of Indoor Air Quality among Urban Public Venues in Kaohsiung City, Taiwan." Advanced Materials Research 838-841 (November 2013): 1928–33. http://dx.doi.org/10.4028/www.scientific.net/amr.838-841.1928.
Повний текст джерелаАнотація:
Modern people spent nearly 90% of their time indoor, and therefore, indoor air quality can directly affect our health. Recently, air quality has been much more emphasized than ever. Since 1970s, many studies have shown that the indoor air quality (IAQ) at urban areas can be worse than the outdoor air quality. To investigate the current condition of urban indoor air quality as well as differences between various types of public venues, this study used either a direct-reading instrument or the method proposed by the Taiwan Environmental Administration (TWEPA) for monitoring indoor air quality. The acquired data were used for variation analysis of indoor air quality of different public venues. Fifteen public venues were selected in this study for monitoring their indoor air quality, and among these 15 public venues, four of them are Category I venues, while the remaining eleven are Category II venues. The measurement was conducted twice at each of the public venue, and the monitored pollutants are CO2, CO, HCHO, TVOC, O3, PM10, PM2.5, bacteria, fungi, humidity, and temperature. The results suggested that there were nine public venues in the first sampling and seven public venues in the second sampling with indoor air pollutant concentrations exceeding the standards. Furthermore, the concentrations of CO2, CO, and O3, from the two measurements exceeded the indoor air quality standards. Therefore, CO2, CO, and O3can be considered as the main contributors to the poor indoor air quality of public venues. The high concentrations of CO2and O3indoor are related to population density and the use of O3generating machines, printers, or photocopiers. As for CO, the high concentration is because of the spread of exhaust gases from vehicles or factories may penetrate from outside to the indoor.
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Habibi, Roya, and Ali Asghar Alesheikh. "Managing coverage holes in IoT monitoring sensor networks." Abstracts of the ICA 1 (July 15, 2019): 1–2. http://dx.doi.org/10.5194/ica-abs-1-103-2019.
Повний текст джерелаАнотація:
<p><strong>Abstract.</strong> Coinciding with the development of sensor networks, communication technologies and also emerging the Internet of Things (IoT), the way was smoothed for the improvement of environmental observation tasks. The basic considered architecture for IoT is a 3-layer architecture including application, network, and perception layers respectively. The lowest layer is tasked with sensing the physical world. In environmental observation and monitoring, in-situ sensing and remote sensing generally do this duty. If the variability of the phenomenon in space and time is high such as air pollution concentrations, in-situ sensing is the best solution. Gathered data from physical world deliver to application layer through network layer. Services and analyses of monitoring tasks offer and conduct in application layer.</p><p>There are lots of researches in the literature which have addressed requirements and challenges of IoT including network architecture and infrastructure [1], security and privacy [2], big data analytics [3]. Natural phenomena are inherently continuous. Ideally, in IoT scenarios, it is needed to know observing phenomenon at anytime and anywhere. At this point, sensor measurement rate and spatial coverage of sensor network are problematic. This is an undeniable fact that the phenomenon cannot be sensed at any place. Most sensors are statics. In addition, setup and maintenance of them are expensive. Therefore, data of interested phenomenon is measured at a number of distinct points. Node failure is one of the critical issues in wireless sensor networks which leads to a coverage hole. These holes in sensor networks result in the degradation of network performance and quality of service [4]. However, it might be a minor problem depending on spatial variability of observing phenomenon or sensor network density. Spatial interpolation methods are the best keys to solve this problem. In this way, a continuous surface of interested parameter is estimated throughout the area and values for unmeasured points are predicted. According to the first low of geography, there is a spatial relation between spatial features in geographic space. Spatial autocorrelation is a characteristic implying this relation and define a distance in which observed values are correlated with itself [5]. This correlation might be positive or negative. Nonetheless, it is meaningful at a range. This range is essential in monitoring task. It plays a prominent role in sensor network density. If sensor network structure is so dense that cover out of range distances according to spatial autocorrelation, this surface will be acceptably precise. If a node failure happen in monitoring network, precision of resulted interpolated surface will decrease and predicted values at unobserved points will be unreliable. The main purpose of the current work is providing a solution to manage this coverage hole in IoT scenarios with earth observation tasks. In other words, it makes concentration values of pollutants available at right place and right time via web.</p><p>The case study for implementing solution is air pollution monitoring network in Tehran, Iran. Air pollution is one of the main problems in cities, especially in metropolises. In this regard, Tehran is faced with serious matters, and damages caused by this issue inflicts exorbitant costs on urban residents and officials. High intrinsic dynamic of air pollution in space and time, and contributions of natural or synthetic sources to its increase or reduction, clarify the necessity of observation systems which should be adopt to this dynamic. To overcome node failure in network, short-term time series analysis methods are promising. A time series is a sequence of observations that occur continuously in time [6]. The complexity of the physical and chemical processes that lead to changes in concentrations of atmospheric pollutants, and the complexity of geographical conditions, along with the presence of data errors in involving parameters, cause serious problems in precise and rapid modelling of pollutants. Therefore, for practical purposes, short-term predictive methods for concentrations of air pollutants are mainly based on time series statistical methods [7]. Using Holt-Winters temporal model, a method is proposed for covering missed data among observations of sensor network. This study was performed on air quality monitoring network of Tehran and utilized OGC SWE standards to produce interoperable open spatial infrastructure in sensor networks. For performing statistical tests, two stations named Cheshmeh and Elm-o-Sanat were detected as samples of clean and polluted regions using Moran's I index spatial clustering method. For spatial prediction of pollutant, various kind of spatial interpolation methods will be evaluated and best method will be selected due to less error in fitting a surface of pollutants throughout the city. Finally, the desired models will be integrated in a data infrastructure established by sensor web standards and results will be available for users through a web-based application. These results could be usable in other applications of internet of things such as related tasks to public health, gathering correct and timely decisions by city policy-makers during the advent of air pollution critical conditions and reduction or prevention of it.</p>
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Silva, Mariana Devincentis, Maria Carla Queiroz Diniz Oliveira, Anita Drumond, and Luciana Varanda Rizz. "Air pollutants associated with surface meteorological conditions in São Paulo’s ABC region." Revista Brasileira de Ciências Ambientais 56, no. 3 (2021): 459–69. http://dx.doi.org/10.5327/z21769478917.
Повний текст джерелаАнотація:
Air pollution is one the main environmental problems in urban areas like the Metropolitan Area of São Paulo (MASP) in Brazil, where millions of inhabitants are exposed to pollution concentrations above the standards, with potential health impacts. Exposure is unequal throughout MASP, relying on the dynamics of local emission sources interplaying with weather and climate in a regional scale. The ABC region — ABC standing for Santo André, São Bernardo do Campo and São Caetano do Sul, the cities the area originally comprised of — is MASP’s largest industrial center, sitting in its southeast border, and encloses environmental protection areas. That leads to a unique emission profile that differ from the metropolis center. This study aims to characterize the variability of atmospheric pollutants in the ABC region in 2015, investigating possible sources and associations with surface meteorological conditions. Multivariate statistical analyses were applied to data from seven air quality monitoring stations and surface meteorological variables. Results show that São Bernardo do Campo stood out, with O3 concentrations 20% higher (43±19 µg.m-3) than the other sites, while São Caetano do Sul had the highest annual mean PM10 concentrations (39±19 µg.m-3), mostly related to vehicular emissions. Relative humidity was negatively correlated with primary pollutants, while temperature and radiation correlated with O3. Unusually high O3 concentrations were observed in January of 2015, concomitant with negative anomalies of precipitation and relative humidity, likely associated with the 2014/2015 summer drought event in Southeast Brazil. Overall, results show that local emission sources significantly impact air pollution loading and its diurnal variability, particularly in the case of primary pollutants. Climate modulates the seasonal concentration variability, and regional scale weather phenomena may impact air quality conditions. To reach concentration standards everywhere, policy makers must be aware of processes occurring in different spatial scales that determine air quality.
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Geger, Emiliya V., G. P. Zolotnikova, and V. A. Kaptsov. "METHODS OF EVALUATION OF SANITARY-ECOLOGICAL CONDITION OF TERRITORIES." Hygiene and sanitation 98, no. 12 (December 15, 2019): 1338–41. http://dx.doi.org/10.18821/0016-9900-2019-98-12-1338-1341.
Повний текст джерелаАнотація:
Introduction. On the basis of monitoring data for 2005-2017, the analysis of the ecological and hygienic situation in the territory of the Bryansk region was carried out and the integral index of pollution of territories was derived. Ranking of territories was carried out taking into account pollution of air, water, food by chemical and radioactive substances. Material and methods. Monitoring of environmental pollution, method of expert estimations, the coefficient of concordance, integral index of pollution. Results. The study identified anthropogenic pollutants of the areas, the most disadvantaged areas, and relatively clean areas. The degree of pollution of each territory was established on the basis of an integral index. The proposed method for ecological and hygienic ranking of territories allowed systematically assessing the state of the environment. Conclusion. According to the results of the research, it can be confirmed that the main sources of impact on the environment of the region are vehicles and construction enterprises, as well as the consequences of the Chernobyl disaster. Risk assessment for public health was carried out taking into account the real risk of human exposure to ecotoxicants coming from all objects of the environment, using the method of expert assessments and an integral index assessing the total pollution and taking into account the level of pollution of air, water, food chemicals, and radioactive substances. New approaches to the ecological and hygienic characteristics of the territories can be recommended for a comprehensive assessment of the environment, the development of predictive assessments of the negative impact of man-made environmental pollution on public health, management of risk factors for the development of environmentally-dependent pathology in the population in areas with different levels of man-made pollution.
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Radovenchyk, Vіacheslav, Olena Ivanenko, Tamara Krysenko, and Yaroslav Radovenchyk. "Air quality monitoring systems in Kyiv." Proceedings of the NTUU “Igor Sikorsky KPI”. Series: Chemical engineering, ecology and resource saving, no. 1 (March 29, 2022): 70–79. http://dx.doi.org/10.20535/2617-9741.1.2022.254161.
Повний текст джерелаАнотація:
Anthropogenic impact on the environment is growing every year. It deteriorates the living conditions of humans and other organisms and leads to global environmental crises. The atmosphere is especially sensitive to the influences in which processes progress more intensively than in other components of the environment. Kyiv takes one of the first places among the cities of Ukraine by the level of pollution. To make the necessary management decisions for improving air quality, detailed information is required about the level of air pollution, pollutants and sources of their formation, changes in time, etc. In developed countries, these functions are performed by different national pollution monitoring systems, which are automated and computerized and display real-time information. Today, the national environmental monitoring system in Ukraine is only being formed, so it is important to determine the most acceptable areas for its development.
The capital should be a model for other cities. Hence, a modern system of environmental monitoring should be one of the main priorities of the current city administration. Today, the monitoring of air quality in the capital is carried out by several entities. Conventionally, the main monitoring organization is the Central Geophysical Observatory (CGO), which has 16 monitoring points in Kyiv and publishes some (25 %) of the obtained information on its website. A significant advantage of the information from CGO is its compliance with current regulations of Ukraine. Such information includes all necessary contaminants. Today, CGO has the most detailed information about air quality for a long-term period. The last few years have been characterized by intensive development of private air quality monitoring systems in the capital: LUN City, Save Dnipro, Air Visual, luftdaten.info and others. They belong to various organizations, have sufficient coverage of the city, but analyze air quality only by the content of 1–10 µm particles, which is not enough for a complete analysis and assessment of air pollution. Most of these monitoring systems are more like advertising or designed to create a network of observation posts by citizens themselves. Therefore, such systems cannot be considered full-fledged air quality monitoring systems. Several years ago, the Kyiv City State Administration decided to create a modern open-resource automated air quality monitoring system in the capital. Today four observation posts have been installed. Such posts correspond to the current European level of air monitoring and provide real-time detailed information about the air pollution level.
The air quality monitoring system in the capital is likely to be developed by creation of new modern observation posts according to the Kyiv City State Administration program, especially if it is not commercialized or privatized in the future.
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Tsyhanok, Ye. "ATMOSPHERIC AIR AND GREENNESS AS INDICATORS OF COMFORT OF A COMPACT CITY (BY EXAMPLE OF KYIV)." Bulletin of Taras Shevchenko National University of Kyiv. Geography, no. 78-79 (2021): 69–75. http://dx.doi.org/10.17721/1728-2721.2021.78-79.10.
Повний текст джерелаАнотація:
The goal of the article is to study the geographical distribution and provision of urban green spaces to the residents of a large city on the example of Kyiv, assess the real state of green infrastructure, and reveal the relationship between air quality and comfort of living in some districts of the capital. To achieve this goal, we have analysed the compliance of Kyiv with the requirements of the compact sustainable city conception; and proposed an original method of substantiating the level of comfortable living, taking into consideration the air quality. According to the method we have evaluated the drawings of the effective Kyiv development Master plan and the one being elaborated, the regulatory documents of the Kyiv City Council, the registries of public recreation zones, OpenStreetMap and Google Map geospatial data and annual concentrations of main air pollutants of different Kyiv districts. Several thousand contours of all urban green spaces with an area of more than one hectare in Kyiv’s cartographic base has been processed and a number of major indicators of the modern conditions of the green infrastructure of Kyiv in all ten city districts have been calculated. Additionally, the average annual concentrations of main air pollutants and the Air Quality Index in different Kyiv districts have been calculated. We have identified a number of significant shortcomings in the functioning of the state monitoring of atmospheric air pollution in Kyiv, and substantiated the criteria for placing the air quality monitoring stations and sensors for the efficient measuring of the concentration of pollutants. Based on processing all significant indicators, such as the Greenness Index, Green Space Provision Index, Air Quality Index, the administrative districts of Kyiv have been ranked to assess the level of the comfortable and safe urban environment. We have calculated the integrated City comfort living Index that is based on important indicators of urban green spaces and allows to assess the complex state of the green infrastructure in Kyiv. It is also a key criterion of its compliance with modern requirements to the sustainable compact city. The analysis of the condition and distribution of urban green spaces has revealed their irregular distribution in the majority of districts and insufficient provision of green areas in the highest-density neighborhoods, despite their high Given the numerous shortcomings of the green infrastructure development in Kyiv (uneven territorial distribution, insufficient provision for the population), it is necessary to revise the legal framework in terms of geoecological assessment of all urban green spaces and their functions. Among the promising areas of further research, priority is given to determining the quality of green spaces, calculating the uniformity of their spatial distribution, pedestrian and transport accessibility for the city residents to the elements of green infrastructure, including protected areas. The relevance of the research is due to the fruitless search for the compromises between locally based densification, urban development and preservation of urban green structures, which leads to deterioration of air quality and general environmental condition of Kyiv, reducing its socio-economic development, increasing incidences of disease.
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Alexandrou, Giorgos, Petros Mouzourides, Andreas Eleftheriou, and Marina K. A. Neophytou. "The Impact on Urban Air Quality of the COVID-19 Lockdown Periods in 2020: The Case of Nicosia, Cyprus." Atmosphere 12, no. 10 (October 7, 2021): 1310. http://dx.doi.org/10.3390/atmos12101310.
Повний текст джерелаАнотація:
The purpose of this study is to assess the impact of the lockdown measures in 2020 on the urban air quality in Nicosia capital city, in Cyprus—an island-country in the East Mediterranean—which is often affected by transboundary dust pollution. The study focuses on three criteria pollutants, nitrogen dioxide (NO2), carbon monoxide (CO) and Particulate Matter (PM10), taken from three Air Quality Monitoring Stations; two urban stations and one reference-background. The results of this study show that the decrease in traffic, which is the main source of high concentrations of pollutants in the urban area, reached up to 66.5% during the lockdown. At the beginning of the lockdown period, it exhibited a downward trend of 29% for CO concentration, and downward trend 43% for NO2 and PM10 concentrations. The NO2 concentration exhibited an upward trend towards the end of the lockdown; with the indication that this was due to meteorological conditions relevant to the monitoring stations and the transport of NO2 concentrations from sources that cannot be tracked. PM10 concentrations exhibited a varying behaviour as observed in the trends, where the decreasing trend was followed by an increasing trend due to transboundary air pollution episodes occurring in the same period.
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Mao, Jing-Ying, Zhi-Ming Chen, Zong-Kai Jiang, Zhao-Yu Mo, Hong-Jiao Li, Fan Meng, Bei Chen, Hui-Jiao Ling, and Hong Li. "A Comparative Study on Air Pollution Characteristics in Four Key Cities during 2013 in Guangxi Province, China." Sustainability 13, no. 4 (February 3, 2021): 1612. http://dx.doi.org/10.3390/su13041612.
Повний текст джерелаАнотація:
Based on ambient air quality data of the four key cities (Nanning, Liuzhou, Guilin, and Beihai) in Guangxi, China, along with an analysis of the main emission sources, topographic features, weather conditions, and backward trajectories, the variation of main air pollutants and pollution episodes in the four cities were studied. Results showed that air pollution was most serious in Liuzhou and Guilin, followed by Nanning and Beihai. PM2.5 was the dominant pollutant in each city, followed by O3, PM10, and NO2. Concentrations of SO2 and CO did not exceed their National Ambient Air Quality Standard Grade II limit values. In the cities, the concentrations of PM2.5, PM10, NO2, and SO2 were high during fall and winter and low during spring and summer, while the concentrations of O3 were high during fall and low during the other seasons. Concentrations of CO were low during summer and high during the other seasons in Nanning and Liuzhou, while they were high during spring and winter and low during summer and fall in Guilin and Beihai. In these cities, pollution episodes resulted mainly from stagnant accumulation and showed characteristics of regional pollution. However, pollution levels and durations for each city were different due to differences in main pollution sources, local geography, and weather conditions. The influences of air masses on the four cities were similar. They were mainly influenced by local emission sources in the spring, while during autumn, long-distance transportation from Hunan and Hubei was significant. In winter, air pollution in Nanning and Beihai was mostly affected by local emission sources, and that in Liuzhou and Guilin was mainly affected by long-distance transportation from the south and northeast of Guangxi.
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Bauerová, Petra, Adriana Šindelářová, Štěpán Rychlík, Zbyněk Novák, and Josef Keder. "Low-Cost Air Quality Sensors: One-Year Field Comparative Measurement of Different Gas Sensors and Particle Counters with Reference Monitors at Tušimice Observatory." Atmosphere 11, no. 5 (May 11, 2020): 492. http://dx.doi.org/10.3390/atmos11050492.
Повний текст джерелаАнотація:
With attention increasing regarding the level of air pollution in different metropolitan and industrial areas worldwide, interest in expanding the monitoring networks by low-cost air quality sensors is also increasing. Although the role of these small and affordable sensors is rather supplementary, determination of the measurement uncertainty is one of the main questions of their applicability because there is no certificate for quality assurance of these non-reference technologies. This paper presents the results of almost one-year field testing measurements, when the data from different low-cost sensors (for SO2, NO2, O3, and CO: Cairclip, Envea, FR; for PM1, PM2.5, and PM10: PMS7003, Plantower, CHN, and OPC-N2, Alphasense, UK) were compared with co-located reference monitors used within the Czech national ambient air quality monitoring network. The results showed that in addition to the given reduced measurement accuracy of the sensors, the data quality depends on the early detection of defective units and changes caused by the effect of meteorological conditions (effect of air temperature and humidity on gas sensors and effect of air humidity with condensation conditions on particle counters), or by the interference of different pollutants (especially in gas sensors). Comparative measurement is necessary prior to each sensor’s field applications.
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Wolf, Tobias, Lasse H. Pettersson, and Igor Esau. "A very high-resolution assessment and modelling of urban air quality." Atmospheric Chemistry and Physics 20, no. 2 (January 20, 2020): 625–47. http://dx.doi.org/10.5194/acp-20-625-2020.
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Abstract. Urban air quality is one of the most prominent environmental concerns for modern city residents and authorities. Accurate monitoring of air quality is difficult due to intrinsic urban landscape heterogeneity and superposition of multiple polluting sources. Existing approaches often do not provide the necessary spatial details and peak concentrations of pollutants, especially at larger distances from monitoring stations. A more advanced integrated approach is needed. This study presents a very high-resolution air quality assessment with the Parallelized Large-Eddy Simulation Model (PALM), capitalising on local measurements. This fully three-dimensional primitive-equation hydrodynamical model resolves both structural details of the complex urban surface and turbulent eddies larger than 10 m in size. We ran a set of 27 meteorological weather scenarios in order to assess the dispersion of pollutants in Bergen, a middle-sized Norwegian city embedded in a coastal valley. This set of scenarios represents typically observed weather conditions with high air pollution from nitrogen dioxide (NO2) and particulate matter (PM2.5). The modelling methodology helped to identify pathways and patterns of air pollution caused by the three main local air pollution sources in the city. These are road vehicle traffic, domestic house heating with wood-burning fireplaces and ships docked in the harbour area next to the city centre. The study produced vulnerability maps, highlighting the most impacted districts for each weather and emission scenario. Overall, the largest contribution to air pollution over inhabited areas in Bergen was caused by road traffic emissions for NO2 and wood-burning fireplaces for PM2.5 pollution. The effect of emission from ships in the port was mostly restricted to the areas close to the harbour and moderate in comparison. However, the results have contributed to implementation of measures to reduce emissions from ships in Bergen harbour, including provision of shore power.
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Obolkin, Vladimir, Vladimir Potemkin, Olga Khuriganova, and Tamara Khodzher. "Ozone Monitoring in the Baikal Region (East Siberia): Spatiotemporal Variability under the Influence of Air Pollutants and Site Conditions." Atmosphere 13, no. 4 (March 24, 2022): 519. http://dx.doi.org/10.3390/atmos13040519.
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This article analyses the results of year-round automatic ozone monitoring in seven cities of the Baikal region (southeastern Siberia). We reveal that significant differences in the spatiotemporal variability of the average daily ozone concentrations depend on different anthropogenic loads. In large cities with heavy industry, which are located in the Angara River valley, the ozone concentrations were minimal and changed little during the year: less than 5 µg/m3 in the Angarsk city and 20–30 µg/m3 in the Irkutsk city. In the settlements of a less polluted region, the Selenga River valley, the ozone concentrations were significantly higher, and the annual ozone variability was typical of East Siberia: the maximum in spring (60 to 70 μg/m3) and the minimum in autumn and winter (10 to 30 μg/m3). The maximum ozone concentrations were observed in rural conditions (Listvyanka station), up to 80–100 μg/m3 during the spring maximum. Nitrogen oxides had the main influence on ozone depletion in the surface atmosphere of the cities, especially in winter, the season of maximum burning of fossil fuels (negative correlation can reach −0.9). In cities with heavy industry, the effect of NOx on ozone was weaker. Perhaps other anthropogenic impurities can also affect ozone suppression in these cities, which have not yet been studied.
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Wang, Zhiyuan, Xiaoyi Shi, Chunhua Pan, and Sisi Wang. "Spatial and Temporal Characteristics of Environmental Air Quality and Its Relationship with Seasonal Climatic Conditions in Eastern China during 2015–2018." International Journal of Environmental Research and Public Health 18, no. 9 (April 24, 2021): 4524. http://dx.doi.org/10.3390/ijerph18094524.
Повний текст джерелаАнотація:
Exploring the relationship between environmental air quality (EAQ) and climatic conditions on a large scale can help better understand the main distribution characteristics and the mechanisms of EAQ in China, which is significant for the implementation of policies of joint prevention and control of regional air pollution. In this study, we used the concentrations of six conventional air pollutants, i.e., carbon monoxide (CO), sulfur dioxide (SO2), nitrogen dioxide (NO2), fine particulate matter (PM2.5), coarse particulate matter (PM10), and ozone (O3), derived from about 1300 monitoring sites in eastern China (EC) from January 2015 to December 2018. Exploiting the grading concentration limit (GB3095-2012) of various pollutants in China, we also calculated the monthly average air quality index (AQI) in EC. The results show that, generally, the EAQ has improved in all seasons in EC from 2015 to 2018. In particular, the concentrations of conventional air pollutants, such as CO, SO2, and NO2, have been decreasing year by year. However, the concentrations of particulate matter, such as PM2.5 and PM10, have changed little, and the O3 concentration increased from 2015 to 2018. Empirical mode decomposition (EOF) was used to analyze the major patterns of AQI in EC. The first mode (EOF1) was characterized by a uniform structure in AQI over EC. These phenomena are due to the precipitation variability associated with the East Asian summer monsoon (EASM), referred to as the “summer–winter” pattern. The second EOF mode (EOF2) showed that the AQI over EC is a north–south dipole pattern, which is bound by the Qinling Mountains and Huaihe River (about 35° N). The EOF2 is mainly caused by seasonal variations of the mixed concentration of PM2.5 and O3. Associated with EOF2, the Mongolia–Siberian High influences the AQI variation over northern EC by dominating the low-level winds (10 m and 850 hPa) in autumn and winter, and precipitation affects the AQI variation over southern EC in spring and summer.
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Alnahdi, Amani, Ali Elkamel, Munawar A. Shaik, Saad A. Al-Sobhi, and Fatih S. Erenay. "Optimal Production Planning and Pollution Control in Petroleum Refineries Using Mathematical Programming and Dispersion Models." Sustainability 11, no. 14 (July 10, 2019): 3771. http://dx.doi.org/10.3390/su11143771.
Повний текст джерелаАнотація:
Oil refineries, producing a large variety of products, are considered as one of the main sources of air contaminants such as sulfur oxides (SOx), hydrocarbons, nitrogen oxides (NOx), and carbon dioxide (CO2), which are primarily caused by fuel combustion. Gases emanated from the combustion of fuel in an oil refinery need to be reduced, as it poses an environmental hazard. Several strategies can be applied in order to mitigate emissions and meet environmental regulations. This study proposes a mathematical programming model to derive the optimal pollution control strategies for an oil refinery, considering various reduction options for multiple pollutants. The objective of this study is to help decision makers select the most economic pollution control strategy, while satisfying given emission reduction targets. The proposed model is tested on an industrial scale oil refinery sited in North Toronto, Ontario, Canada considering emissions of NOx, SOx, and CO2. In this analysis, the dispersion of these air pollutants is captured using a screening model (SCREEN3) and a non-steady state CALPUFF model based on topographical and meteorological conditions. This way, the impacts of geographic location on the concentration of pollutant emissions were examined in a realistic way. The numerical experiments showed that the optimal production and pollution control plans derived from the proposed optimization model can reduce NOx, SOx, and CO2 emission by up to 60% in exchange of up to 10.7% increase in cost. The results from the dispersion models verified that these optimal production and pollution control plans may achieve a significant reduction in pollutant emission in a large geographic area around the refinery site.
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Vîrghileanu, Marina, Ionuț Săvulescu, Bogdan-Andrei Mihai, Constantin Nistor, and Robert Dobre. "Nitrogen Dioxide (NO2) Pollution Monitoring with Sentinel-5P Satellite Imagery over Europe during the Coronavirus Pandemic Outbreak." Remote Sensing 12, no. 21 (October 31, 2020): 3575. http://dx.doi.org/10.3390/rs12213575.
Повний текст джерелаАнотація:
Nitrogen dioxide (NO2) is one of the main air quality pollutants of concern in many urban and industrial areas worldwide, and particularly in the European region, where in 2017 almost 20 countries exceeded the NO2 annual limit values imposed by the European Commission Directive 2008/50/EC (EEA, 2019). NO2 pollution monitoring and regulation is a necessary task to help decision makers to search for a sustainable solution for environmental quality and population health status improvement. In this study, we propose a comparative analysis of the tropospheric NO2 column spatial configuration over Europe between similar periods in 2019 and 2020, based on the ESA Copernicus Sentinel-5P products. The results highlight the NO2 pollution dynamics over the abrupt transition from a normal condition situation to the COVID-19 outbreak context, characterized by a short-time decrease of traffic intensities and industrial activities, revealing remarkable tropospheric NO2 column number density decreases even of 85% in some of the European big cities. The validation approach of the satellite-derived data, based on a cross-correlation analysis with independent data from ground-based observations, provided encouraging values of the correlation coefficients (R2), ranging between 0.5 and 0.75 in different locations. The remarkable decrease of NO2 pollution over Europe during the COVID-19 lockdown is highlighted by S-5P products and confirmed by the Industrial Production Index and air traffic volumes.
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May, Irina V., Svetlana V. Kleyn, Ekaterina V. Maksimova, Stanislav Yu Balashov, and Mihail Yu Tsinker. "Hygienic assessment of the situation and analysis of the health risk of the population as an information basis for the management of monitoring and the formation of complex plans for air protection measures of the federal project "Clean Air"." Hygiene and sanitation 100, no. 10 (October 31, 2021): 1043–51. http://dx.doi.org/10.47470/0016-9900-2021-100-10-1043-1051.
Повний текст джерелаАнотація:
Introduction. The quality of the environment and the health of the population are the main factors in the socio-economic development of society. To reduce the volume of emissions of pollutants into the atmosphere and improve the living conditions of residents of contaminated cities, a federal project, “Clean Air” has been developed. Analysis of the efficiency and effectiveness of air protection measures according to public health risk criteria is a priority task for achieving the project conditions and ensuring a safe living environment. Materials and methods. The initial information for the hygienic assessment and health risks of the city of Bratsk was the data of in-situ measurements of the quality of atmospheric air within the framework of environmental and socio-hygienic monitoring and summary calculations of the dispersion of emissions from stationary and mobile sources. Results. According to the hygienic assessment and health risk assessment, 13 priority impurities were identified for inclusion in the systematic monitoring program. Conclusion. Analysis of measures to reduce emissions of pollutants into the air by health risk criteria made it possible to establish that, in general, the directions of efforts are adequate to the list of priority risk factors for the health of citizens. For the correct assessment of the effectiveness and efficiency, it is advisable to supplement with materials containing data on specific emission sources on which it is planned to implement measures; supplying the assessment of health risks with data on the actual morbidity of the population in the city; as well as to assess and discuss with business entities the results of health risk assessment, all identified discrepancies between declared emissions, calculated levels of pollution and the real sanitary and hygienic situation in the city.
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Popov, O., A. Iatsyshyn, V. Kovach, V. Artemchuk, D. Taraduda, V. Sobyna, D. Sokolov, et al. "Physical Features of Pollutants Spread in the Air During the Emergency at NPPs." Nuclear and Radiation Safety, no. 4(84) (December 19, 2019): 88–98. http://dx.doi.org/10.32918/nrs.2019.4(84).11.
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The authors carried out a thorough study of the features of the spread of hazardous chemicals in the surface layer of the atmosphere in the event of an emergency at the site of a nuclear power plant. In order to ensure the continuous operation of the stations in their territories, various ancillary technogenic facilities are located and operate, which release emissions of non-radiation pollutants into the atmosphere. Under various negative circumstances of a technical and natural nature, emergencies may occur due to significant chemical pollution of the atmospheric air in and outside the sanitary protection zone. The prevention of such emergencies is based on environmental monitoring in the locations of man-made objects and their preventive forecast. Implementation of these measures is not possible without the use of effective methods based on mathematical models of environmental pollution by anthropogenic objects, and the hardware and software that implement these methods. The main stages of the development of information and technical methods of prevention of such emergencies are given and described. Different scenarios of emergencies are described as a result of the release of chemicals into the atmosphere at these sites. A conceptual scheme for the distribution of impurities in the atmosphere due to man-made emissions has been developed. The peculiarities of atmospheric air propagation under stationary and non-stationary emission conditions are described in detail. It is established that the most determinants of influence on the concentration distribution of impurities are: mode and conditions of emission, type of source, direction, and velocity of the wind, state of the atmosphere, chemical interaction with other substances in the atmospheric air, gravitational deposition, leaching of sediments, absorption of the underlying surface. surface, terrain. The results obtained will be used in the process of developing mathematical models for the propagation of pollutants in the atmospheric air from the emissions of nuclear power plants during relevant emergencies.
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Silvaggio, Rosalba, Salvatore Curcuruto, Enrico Mazzocchi, Francesco Borchi, Chiara Bartalucci, Lapo Governi, Monica Carfagni, et al. "LIFE Monza: comparison between ante and post-operam noise and air quality monitoring activities in a Noise Low Emission Zone." Noise Mapping 7, no. 1 (September 26, 2020): 171–91. http://dx.doi.org/10.1515/noise-2020-0015.
Повний текст джерелаАнотація:
AbstractLIFE MONZA project (Methodologies fOr Noise low emission Zones introduction And management) aims at defining an easy-replicable method for the identification and management of the Noise Low Emission Zones (Noise LEZ), urban areas subject to traffic restrictions, usually introduced in order to ensure compliance with the air pollutants limit values, prescribed by the European Directive on ambient air quality 2008/50/EC, whose impacts and potential benefits regarding noise issues have been taken into account, tested and analysed in a pilot area of the city of Monza, located in North Italy. Noise LEZ has been established in Libertà district, introducing infrastructural interventions carried out by the municipality (top-down actions) and encouraging an active involvement of the citizens, in the definition of a more sustainable lifestyle (bottom-up actions). The analysis of potential effects on noise reduction due to the Noise LEZ can contribute to the implementation of the EU Directive 2002/49/EC, related to the assessment and management of environmental noise (Environmental Noise Directive – END), which introduces noise action plans, designed to manage noise issues and their effects, suggesting the adoption of urban and mobility planning. Noise and air quality monitoring activities have been carried out in pilot area in ante and post-operam conditions. The monitoring methods, the measurement techniques, the analysis procedures, able to describe the effects due to Noise LEZ establishment, for both the main environmental issues are reported in this paper, as proposals to be applied in other different contexts. Results of monitoring activities highlight a reduction of noise, in term of sound pressure levels, between ante and post-operam, during the day and particularly during the night period, and it is essentially due to the interventions realised. The effect of the Noise LEZ on air pollution seems to be negligible for combustion related pollutant and carbon fractions of PM, due both to the moderate spatial effects of the measures undertaken and confounding factors due to concomitant emission sources and meteorology.
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Lung Kuo, Shu, and Ching Lin Ho. "The Assessment of Time Series for an Entire Air Quality Control District in Southern Taiwan Using GARCH Model." International Journal of Engineering & Technology 7, no. 3.19 (September 7, 2018): 119. http://dx.doi.org/10.14419/ijet.v7i3.19.16999.
Повний текст джерелаАнотація:
The General Autoregressive Conditional Heteroskedastic (GARCH) model and 10 ordinary air quality monitoring stations in the entire air quality control district in Kaohsiung-Pingtung were used in this study. First, the factor analysis results within multivariate statistics were employed to select the main factor that affects air pollution, namely, the photochemical pollution factor. The characteristics of the GARCH model were discussed in terms of asymmetric volatility among the three air pollutants (PM10, NO2, and O3) within the factor. In addition, this study also combined the multiple time series model VARMA to explore changes in the time series of the three air pollutants and to discuss their predictability.The results showed that, although the coefficient of the GARCH model was negative when estimating the variance equation, the conditional variance would always be positive after taking the logarithm. The results also suggested that the GARCH model was quite capable of capturing the asymmetric volatility. In other words, if the condition that pollution factors might be subject to seasonal changes or outliers generated by the human contamination is not considered, the GARCH model had very good ability to verify the results and make predictions, regardless of whether it adopted any of the three risk concepts: normal distribution, t-distribution, and generalized error distribution. For example, under the trend of time series temporal and spatial distribution in various pollution concentrations of photochemical factors, the optimal model VARMA(2,0,0)-GARCH(1,1) selected in this study was used to conduct time series predictability after the verification procedure. After capturing the last 50 entries of data on O3 concentrations in the sequence, the results showed that the predictability correlation (r) was 0.812, the predictability of NO2 was 0.783 and the predictability of PM10 was 0.759. It can be learned from the results that under the sequence of the GARCH model with strong asymmetric volatility, the residual values of these three sequences as white noise were quite evident, and there was also a high degree of correlation in predictability.
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Bryukhan, Fedor. "Assessment of atmospheric dispersion stability based on the atmospheric boundary layer monitoring at the Belorussian nuclear power plant site." Nuclear Technology and Radiation Protection 35, no. 1 (2020): 50–55. http://dx.doi.org/10.2298/ntrp2001050b.
Повний текст джерелаАнотація:
Due to the fact that the potential threat to the health to the public living near nuclear power plants is largely determined by the level of air pollution by radionuclides, identification of the dispersion conditions of pollutants in the atmospheric boundary layer is of great importance in the development of engineering protection means for nuclear facilities. In turn, the engineering protection of nuclear power plants provides for the development of automated radiation monitoring systems and their main components, i. e. atmospheric boundary layer status monitoring systems. When analyzing and predicting the radiation situation in the vicinity of nuclear power plants, the determination of atmospheric dispersion variability parameters over time is essential. This research is aimed at assessing interannual and intra-annual variability of atmospheric dispersion parameters in the Belorussian nuclear power plant siting region based on the atmospheric boundary layer monitoring data. This study has revealed the relative interannual stability of the main average annual atmospheric dispersion characteristics throughout the observation period in 2015-2019. At the same time, the average seasonal values of the atmospheric boundary layer dispersion parameters are characterized by significant fluctuations thereof over the annual course. The feasibility of such monitoring for other potentially hazardous industrial facilities, such as thermal power plants and chemical plants, is also noted.
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Rupakheti, Dipesh, Bhupesh Adhikary, Puppala Siva Praveen, Maheswar Rupakheti, Shichang Kang, Khadak Singh Mahata, Manish Naja, Qianggong Zhang, Arnico Kumar Panday, and Mark G. Lawrence. "Pre-monsoon air quality over Lumbini, a world heritage site along the Himalayan foothills." Atmospheric Chemistry and Physics 17, no. 18 (September 18, 2017): 11041–63. http://dx.doi.org/10.5194/acp-17-11041-2017.
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Abstract. Lumbini, in southern Nepal, is a UNESCO world heritage site of universal value as the birthplace of Buddha. Poor air quality in Lumbini and surrounding regions is a great concern for public health as well as for preservation, protection and promotion of Buddhist heritage and culture. We present here results from measurements of ambient concentrations of key air pollutants (PM, BC, CO, O3) in Lumbini, first of its kind for Lumbini, conducted during an intensive measurement period of 3 months (April–June 2013) in the pre-monsoon season. The measurements were carried out as a part of the international air pollution measurement campaign; SusKat-ABC (Sustainable Atmosphere for the Kathmandu Valley – Atmospheric Brown Clouds). The main objective of this work is to understand and document the level of air pollution, diurnal characteristics and influence of open burning on air quality in Lumbini. The hourly average concentrations during the entire measurement campaign ranged as follows: BC was 0.3–30.0 µg m−3, PM1 was 3.6–197.6 µg m−3, PM2. 5 was 6.1–272.2 µg m−3, PM10 was 10.5–604.0 µg m−3, O3 was 1.0–118.1 ppbv and CO was 125.0–1430.0 ppbv. These levels are comparable to other very heavily polluted sites in South Asia. Higher fraction of coarse-mode PM was found as compared to other nearby sites in the Indo-Gangetic Plain region. The ΔBC ∕ ΔCO ratio obtained in Lumbini indicated considerable contributions of emissions from both residential and transportation sectors. The 24 h average PM2. 5 and PM10 concentrations exceeded the WHO guideline very frequently (94 and 85 % of the sampled period, respectively), which implies significant health risks for the residents and visitors in the region. These air pollutants exhibited clear diurnal cycles with high values in the morning and evening. During the study period, the worst air pollution episodes were mainly due to agro-residue burning and regional forest fires combined with meteorological conditions conducive of pollution transport to Lumbini. Fossil fuel combustion also contributed significantly, accounting for more than half of the ambient BC concentration according to aerosol spectral light absorption coefficients obtained in Lumbini. WRF-STEM, a regional chemical transport model, was used to simulate the meteorology and the concentrations of pollutants to understand the pollutant transport pathways. The model estimated values were ∼ 1. 5 to 5 times lower than the observed concentrations for CO and PM10, respectively. Model-simulated regionally tagged CO tracers showed that the majority of CO came from the upwind region of Ganges Valley. Model performance needs significant improvement in simulating aerosols in the region. Given the high air pollution level, there is a clear and urgent need for setting up a network of long-term air quality monitoring stations in the greater Lumbini region.
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Szyszkowicz, Mieczysław, Stephanie Schoen, and Nicholas de Angelis. "Air Pollution and Emergency Department Visits for Disease of the Genitourinary System." Environmental Health Insights 15 (January 2021): 117863022110253. http://dx.doi.org/10.1177/11786302211025360.
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The aim of this study is to determine associations between ambient air pollution and the number of emergency department (ED) visits for diseases of the genitourinary tract in Toronto, Canada. We used the National Ambulatory Care Reporting System (NACRS) database to obtain the related ED visits and developed statistical models using daily data on ED visits, temperature, relative humidity, and outdoor air pollution concentration levels. The NACRS database contains data on hospital-based and community-based ambulatory care. The environmental data were retrieved from the National Air Pollution Surveillance (NAPS) program. The NAPS is the main source of ambient air quality data in Canada. We considered 2 air quality health indexes and 6 air pollutants: daily means of fine particulate matter PM2.5, O3, CO, NO2, SO2, and also maximum 8-hour average ozone. For every air pollutant, we fit 270 models (15 lags × 18 strata). We found that same-day air pollution concentrations have the highest number of statistically significantly positive associations with ED visits for genitourinary health outcomes. A total of 133 positive associations were identified over the 14 days lag. In subgroup (strata) analysis, females older than 60 years of age were found to have the most positive associations. In particular, nitrogen dioxide was found to be highly associated with ED visits for females over 60; an increase in NO2 was associated with an increased relative risk (RR) of ED visits when lagged over 0, 1, and 2 days (RR = 1.040 [95% confidence interval: 1.028, 1.052], 1.020 [1.009, 1.032], and 1.025 [1.013, 1.036], respectively). The values of risks are reported for a 1 interquartile range increase in concentration (8.8 ppb). Our results suggest that urban ambient air pollution affect the number of ED visits due to genitourinary system conditions.
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Nemenushcha, Svetlana, Yevhenii Kotliar, Olena Fesenko, and Victoria Lysyuk. "Monitoring of the Environmental Technogenic Hazard of the Oil Extraction Plant." Materials Science Forum 1006 (August 2020): 208–13. http://dx.doi.org/10.4028/www.scientific.net/msf.1006.208.
Повний текст джерелаАнотація:
In Ukraine there is a tendency to increase the number of man-made emergencies, which directly affects the state of the environment and the population. Particularly dangerous situations are formed in case of disturbance of objects with high risk conditions, which include oil extraction enterprises. Observing the state of the environment and the operation of technological equipment at such enterprises, warning of the risk of emergencies that are hazardous to human health and the environment, are the basis and task of monitoring. The results of engineering and ecological analysis of the state of ecological and technogenic danger on the example of private joint-stock company «Kropyvnytskyi oil extraction plant» are presented in the work. The main probable factors of its formation at each technological stage of production are established. The sources of environmental and human hazards are technological equipment and materials. Pollutants of land, water and atmospheric air are dust of vegetable origin and meal, solvent of hexane and its vapors, carbon dioxide and washing solution - soda ash, etc. Expert evaluation of the main production operation - oil extraction was carried out in detail. The extraction process is the main production operation for both press oil and extraction oil, as well as cake and meal. The results of the study can be used to clarify the program of monitoring the sources of technogenic and environmental risk at high risk facilities, planning activities and means of improving the resilience of the enterprises of the industry, preventing emergencies and minimizing their consequences. Awareness enhances management efficiency and minimizes environmental and population risks.
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Nekos, A. N., Yu V. Medvedeva, and N. I. Cherkashyna. "Assessment of environmental risks from atmospheric air pollution in industrially developed regions of Ukraine." Journal of Geology, Geography and Geoecology 28, no. 3 (October 7, 2019): 511–18. http://dx.doi.org/10.15421/111947.
Повний текст джерелаАнотація:
Currently, atmospheric pollution is one of the main causes of premature mortality in the world. The problem is especially relevant for economically underdeveloped countries, in particular Ukraine, the economy of which has been developing for a long time in an extensive way. The complicated socio-ecological situation in the territory of the country is due, first of all, to insufficient financing of the medical industry and environmental protection, outdated technologies in industries, etc. The purpose of the study is to assess the environmental risks of atmospheric air pollution in industrialized regions of Ukraine. Kharkiv and Dnipro regions, which are part of the Donetsk-Prydnistrovsky economic macro-district, a powerful center of metallurgy and machine-building of the national level, were selected for the study. As part of the study, the ambient air condition was assessed from the point of view of sanitary-hygienic norms in compliance with state environmental standards as well as the risks of carcinogenic and non-carcinogenic effects from atmospheric pollution.Regional monitoring data on average annual concentrations of common pollutants and heavy metals in the atmospheric air of the cities of Kharkiv and Dnipro regions were used in calculations, averaged over the period from 2014 to 2016. The results of calculations have shown that the total non-carcinogenic risk from atmospheric air pollution in all studied cities exceeds the permissible level: Dnipro – 19.8 HQ; Kamianske– 23.3 HQ; Kryviy Rig – 19.3 HQ; Kharkiv – 11.9 HQ. The pollutants: PM2.5, copper, formaldehyde, nitrogen dioxide, manganese and phenol mostly contribute to the greatest non-carcinogenic risk. The dominance of these chemicals and elements in the structure of pollution in the studied cities leads to high probability of development of harmful effects in the respiratory organs – 11.1 to 22.3 HQ; cardiovascular system – 2.9 to 12.3 HQ; immune system – 1.7 to 4.7 HQ; eyes – 0.8 to 4 HQ; central nervous system – 1,4 to 4,6 HQ. The risk of carcinogenic effects is calculated for substances with proven carcinogenic effects: formaldehyde, nickel, cadmium, lead and chromium. The obtained carcinogenic risk from atmospheric air pollution within the studied cities falls into two categories: conventionally acceptable level of risk and acceptable level of risk. The greatest carcinogenic danger is from pollution of atmospheric air by chromium. Contribution of chromium to total carcinogenic risk ranges from 53.6 to 90.6%. Taking into account the obtained results, it is expedient to include the assessment of the risks to the population’s health in the system of monitoring and control of the environment in Ukraine.
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Bityukova, V. R. "Spatial structure of pollution areas from combined heat and power plant (CHP) in Moscow." Ecology and Industry of Russia 25, no. 6 (June 22, 2021): 54–60. http://dx.doi.org/10.18412/1816-0395-2021-6-54-60.
Повний текст джерелаАнотація:
The main tendencies in the nature air pollution in Moscow from thermal power plants are considered. Emission reductions from CHP high rates are determined by a change of the main factors balance from the fuel mix capacity utilization to upgrading facilities equipment utilization optimization. On the Ochakovskaya CHP example was shown that by reducing emissions the concentration of contaminants decreased. However, the spatial structure of the pollution area has remained. Here, the low concentration zone, which is associated with the wind shadow effect, characterized of high sources, is replaced by a zone of maximum concentration, that in dangerous wind conditions velocity increases to more than 6 times. In addition, there is one zone of pollutants accumulation, within which their concentration increases by more than 7 times. For more rapidly settling suspended particles, there is the maximum concentration near the source (0.8–1.5 km). For well-scattering nitrogen oxides, sulfur dioxide and carbon monoxide are reached the maximum concentration farther from the source of emissions (5.5–6.5 km).
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Ahmat, Hasfazilah, Nor Syahida Musa, Nurhanina Nazamid, and Nursyahirah Amirah Zaharin. "CLASSIFICATION OF HIGH AND LOW LEVEL OF PM10 CONCENTRATIONS IN KLANG AND SHAH ALAM, MALAYSIA." MALAYSIAN JOURNAL OF COMPUTING 4, no. 2 (December 19, 2019): 325. http://dx.doi.org/10.24191/mjoc.v4i2.6688.
Повний текст джерелаАнотація:
Particulate matter (PM) comprises of a complex mixture of small solid or liquid particles of organic and inorganic elements that floats freely in air. PM10 is defined as a particulate matter with an aerodynamic diameter of 10 m or less. The main objective of this paper is to classify the level of PM10 in selected locations in Peninsular Malaysia using discriminant analysis. Two important components considered in this study, namely; the meteorological factors and pollutant factors. The meteorological factors comprise of wind speed, wind direction, humidity and temperature while pollutant factors consist of Carbon Monoxide (CO), Sulphur Dioxide (SO2), Nitrogen Dioxide (NO2) and Ozone (O3). The classification of high or low level of PM10 concentrations was based on the Malaysia Ambient Air Quality Guideline (MAAQG). The findings indicated that the classification equation differs from location to location due to different levels of PM10 concentrations, location of monitoring stations and factors affecting air pollution in that location. The simulation data also verified that the classification of PM10 concentration was almost similar to the real condition that occurred in Klang in October 2015.
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Gašparac, Goran, Amela Jeričević, Prashant Kumar, and Branko Grisogono. "Regional-scale modelling for the assessment of atmospheric particulate matter concentrations at rural background locations in Europe." Atmospheric Chemistry and Physics 20, no. 11 (June 4, 2020): 6395–415. http://dx.doi.org/10.5194/acp-20-6395-2020.
Повний текст джерелаАнотація:
Abstract. The application of regional-scale air quality models is an important tool in air quality assessment and management. For this reason, the understanding of model abilities and performances is mandatory. The main objective of this research was to investigate the spatial and temporal variability of background particulate matter (PM) concentrations, to evaluate the regional air quality modelling performance in simulating PM concentrations during statically stable conditions and to investigate processes that contribute to regionally increased PM concentrations with a focus on eastern and central Europe. The temporal and spatial variability of observed PM was analysed at 310 rural background stations in Europe during 2011. Two different regional air quality modelling systems (offline coupled European Monitoring and Evaluation Programme, EMEP, and online coupled Weather Research and Forecasting with Chemistry) were applied to simulate the transport of pollutants and to further investigate the processes that contributed to increased concentrations during high-pollution episodes. Background PM measurements from rural background stations, wind speed, surface pressure and ambient temperature data from 920 meteorological stations across Europe, classified according to the elevation, were used for the evaluation of individual model performance. Among the sea-level stations (up to 200 m), the best modelling performance, in terms of meteorology and chemistry, was found for both models. The underestimated modelled PM concentrations in some cases indicated the importance of the accurate assessment of regional air pollution transport under statically stable atmospheric conditions and the necessity of further model improvements.
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Liu, X., J. Li, Y. Qu, T. Han, L. Hou, J. Gu, C. Chen, et al. "Formation and evolution mechanism of regional haze: a case study in the megacity Beijing, China." Atmospheric Chemistry and Physics Discussions 12, no. 7 (July 3, 2012): 16259–92. http://dx.doi.org/10.5194/acpd-12-16259-2012.
Повний текст джерелаАнотація:
Abstract. The main objective of this study is to investigate the formation and evolution mechanism of the regional haze in megacity Beijing by analyzing the process of a severe haze that occurred 20–27 September 2011. Mass concentration and size distribution of aerosol particles as well as aerosol optical properties were concurrently measured at the Beijing urban atmospheric environment monitoring station. Gaseous pollutants (SO2, NO-NO2-NOx, O3, CO) and meteorological parameters (wind speed, wind direction, and relative humidity (RH)) were simultaneously monitored. Meanwhile, aerosol spatial distribution and the height of planetary boundary layer (PBL) were retrieved from the signal of satellite and LIDAR (light detection and ranging). Results showed that high intensity of local pollutants from Beijing urban source is the fundamental cause that led to the regional haze. Meteorological factors such as higher RH, weak surface wind speed, and decreasing height of PBL played an important role on the deterioration of air quality. New particle formation was considered to be the most important factor contributing the formation of haze. In order to improve the atmospheric visibility and reduce the occurrence of the haze, the mass concentration of PM2.5 at dry condition should be less than 60 µg m−3 in Beijing according to the empirical relationship of visibility, PM2.5 mass concentration and RH. This case study may provide valuable information for the public to recognize the formation mechanism of the regional haze event over the megacity, which is also useful for the government to adopt scientific approach to forecast and eliminate the occurrence of regional haze in China.
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Guevara, Marc, Oriol Jorba, Carles Tena, Hugo Denier van der Gon, Jeroen Kuenen, Nellie Elguindi, Sabine Darras, Claire Granier, and Carlos Pérez García-Pando. "Copernicus Atmosphere Monitoring Service TEMPOral profiles (CAMS-TEMPO): global and European emission temporal profile maps for atmospheric chemistry modelling." Earth System Science Data 13, no. 2 (February 12, 2021): 367–404. http://dx.doi.org/10.5194/essd-13-367-2021.
Повний текст джерелаАнотація:
Abstract. We present the Copernicus Atmosphere Monitoring Service TEMPOral profiles (CAMS-TEMPO), a dataset of global and European emission temporal profiles that provides gridded monthly, daily, weekly and hourly weight factors for atmospheric chemistry modelling. CAMS-TEMPO includes temporal profiles for the priority air pollutants (NOx; SOx; NMVOC, non-methane volatile organic compound; NH3; CO; PM10; and PM2.5) and the greenhouse gases (CO2 and CH4) for each of the following anthropogenic source categories: energy industry (power plants), residential combustion, manufacturing industry, transport (road traffic and air traffic in airports) and agricultural activities (fertilizer use and livestock). The profiles are computed on a global 0.1 × 0.1∘ and regional European 0.1 × 0.05∘ grid following the domain and sector classification descriptions of the global and regional emission inventories developed under the CAMS programme. The profiles account for the variability of the main emission drivers of each sector. Statistical information linked to emission variability (e.g. electricity production and traffic counts) at national and local levels were collected and combined with existing meteorology-dependent parametrizations to account for the influences of sociodemographic factors and climatological conditions. Depending on the sector and the temporal resolution (i.e. monthly, weekly, daily and hourly) the resulting profiles are pollutant-dependent, year-dependent (i.e. time series from 2010 to 2017) and/or spatially dependent (i.e. the temporal weights vary per country or region). We provide a complete description of the data and methods used to build the CAMS-TEMPO profiles, and whenever possible, we evaluate the representativeness of the proxies used to compute the temporal weights against existing observational data. We find important discrepancies when comparing the obtained temporal weights with other currently used datasets. The CAMS-TEMPO data product including the global (CAMS-GLOB-TEMPOv2.1, https://doi.org/10.24380/ks45-9147, Guevara et al., 2020a) and regional European (CAMS-REG-TEMPOv2.1, https://doi.org/10.24380/1cx4-zy68, Guevara et al., 2020b) temporal profiles are distributed from the Emissions of atmospheric Compounds and Compilation of Ancillary Data (ECCAD) system (https://eccad.aeris-data.fr/, last access: February 2021).
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Kwiecień, Janusz, and Kinga Szopińska. "Mapping Carbon Monoxide Pollution of Residential Areas in a Polish City." Remote Sensing 12, no. 18 (September 6, 2020): 2885. http://dx.doi.org/10.3390/rs12182885.
Повний текст джерелаАнотація:
Road traffic is among the main sources of atmospheric pollution in cities. Maps of pollutants are based on geostatistical models using a digital model of the city along with traffic parameters allowing for ongoing analyses and prediction of the condition of the environment. The aim of the work was to determine the size of areas at risk of carbon monoxide pollution derived from road traffic along with determining the number of inhabitants exposed to excessive CO levels using geostatistical modeling on the example of the city of Bydgoszcz, a city in the northern part of Poland. The COPERT STREET LEVEL program was used to calculate CO emissions. Next, based on geostatistical modelling, a prediction map of CO pollution (kg/year) was generated, along with determining the level of CO concentration (mg/m3/year). The studies accounted for the variability of road sources as well as the spatial structure of the terrain. The results are presented for the city as well as divided into individual housing estates. The level of total carbon monoxide concentration for the city was 5.18 mg/m3/year, indicating good air quality. Detailed calculation analyses showed that the level of air pollution with CO varies in the individual housing estates, ranging from 0.08 to 35.70 mg/m3/year. Out of the 51 studied residential estates, the limit value was exceeded in 10, with 45% of the population at risk of poor air quality. The obtained results indicate that only detailed monitoring of the level of pollution can provide us with reliable information on air quality. The results also show in what way geostatistical tools can be used to map the spatial variability of air pollution in a city. The obtained spatial details can be used to improve estimated concentration based on interpolation between direct observation and prediction models.
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Karl, Matthias, Jan Eiof Jonson, Andreas Uppstu, Armin Aulinger, Marje Prank, Mikhail Sofiev, Jukka-Pekka Jalkanen, Lasse Johansson, Markus Quante, and Volker Matthias. "Effects of ship emissions on air quality in the Baltic Sea region simulated with three different chemistry transport models." Atmospheric Chemistry and Physics 19, no. 10 (May 24, 2019): 7019–53. http://dx.doi.org/10.5194/acp-19-7019-2019.
Повний текст джерелаАнотація:
Abstract. The Baltic Sea is a highly frequented shipping area with busy shipping lanes close to densely populated regions. Exhaust emissions from ship traffic into the atmosphere do not only enhance air pollution, they also affect the Baltic Sea environment through acidification and eutrophication of marine waters and surrounding terrestrial ecosystems. As part of the European BONUS project SHEBA (Sustainable Shipping and Environment of the Baltic Sea region), the transport, chemical transformation and fate of atmospheric pollutants in the Baltic Sea region were simulated with three regional chemistry transport model (CTM) systems, CMAQ, EMEP/MSC-W and SILAM, with grid resolutions between 4 and 11 km. The main goal was to quantify the effect that shipping emissions have on the regional air quality in the Baltic Sea region when the same shipping emission dataset but different CTMs are used in their typical set-ups. The performance of these models and the shipping contribution to the results of the individual models were evaluated for sulfur dioxide (SO2), nitrogen dioxide (NO2), ozone (O3) and particulate matter (PM2.5). Model results from the three CTMs for total air pollutant concentrations were compared to observations from rural and urban background stations of the AirBase monitoring network in the coastal areas of the Baltic Sea region. Observed PM2.5 in summer was underestimated strongly by CMAQ and to some extent by EMEP/MSC-W. Observed PM2.5 in winter was underestimated by SILAM. In autumn all models were in better agreement with observed PM2.5. The spatial average of the annual mean O3 in the EMEP/MSC-W simulation was ca. 20 % higher compared to the other two simulations, which is mainly the consequence of using a different set of boundary conditions for the European model domain. There are significant differences in the calculated ship contributions to the levels of air pollutants among the three models. EMEP/MSC-W, with the coarsest grid, predicted weaker ozone depletion through NO emissions in the proximity of the main shipping routes than the other two models. The average contribution of ships to PM2.5 levels in coastal land areas is in the range of 3.1 %–5.7 % for the three CTMs. Differences in ship-related PM2.5 between the models are mainly attributed to differences in the schemes for inorganic aerosol formation. Differences in the ship-related elemental carbon (EC) among the CTMs can be explained by differences in the meteorological conditions, atmospheric transport processes and the applied wet-scavenging parameterizations. Overall, results from the present study show the sensitivity of the ship contribution to combined uncertainties in boundary conditions, meteorological data and aerosol formation and deposition schemes. This is an important step towards a more reliable evaluation of policy options regarding emission regulations for ship traffic and the planned introduction of a nitrogen emission control area (NECA) in the Baltic Sea and the North Sea in 2021.
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Velchev, K., F. Cavalli, J. Hjorth, E. Marmer, E. Vignati, F. Dentener, and F. Raes. "Ozone over the Western Mediterranean Sea – results from two years of shipborne measurements." Atmospheric Chemistry and Physics 11, no. 2 (January 24, 2011): 675–88. http://dx.doi.org/10.5194/acp-11-675-2011.
Повний текст джерелаАнотація:
Abstract. Ozone, along with other air pollutants, has been measured for two years from a monitoring station placed on a cruise ship that follows a regular track in the Western Mediterranean between April and October. Conditions favouring high ozone levels have been studied by analysis of weather maps and back trajectories. This analysis was focused on a transect over the open sea in the South Western Mediterranean between Tunis and Palma de Mallorca. High ozone levels were found in situations with an anticyclonic circulation over the Western Mediterranean when subsidence brings air masses down from altitudes between 1000 and 3500 m a.s.l. Analysis of composite meteorological maps suggests a relevant contribution of breeze circulation to subsidence during events with high surface ozone concentrations; this points to an important contribution from local ozone formation. A detailed back trajectory analysis of the origin of air masses with high ozone concentrations was carried out for two "hot spots" for ozone pollution, in the Gulf of Genoa and between Naples and Palermo, respectively. The main cause of high ozone levels in the Gulf of Genoa was found to be outflow from the Po Valley and the Genoa area while such episodes along the Naples-Palermo transect were most often associated with trajectories from the Rome or Naples areas. Analysis of the relationship between measured concentrations of Black Carbon and ozone allowed to evaluate the degree of photochemical "ageing" of the air masses encountered along the route of the cruise ship.
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Drosoglou, Theano, Alkiviadis F. Bais, Irene Zyrichidou, Natalia Kouremeti, Anastasia Poupkou, Natalia Liora, Christos Giannaros, Maria Elissavet Koukouli, Dimitris Balis, and Dimitrios Melas. "Comparisons of ground-based tropospheric NO<sub>2</sub> MAX-DOAS measurements to satellite observations with the aid of an air quality model over the Thessaloniki area, Greece." Atmospheric Chemistry and Physics 17, no. 9 (May 11, 2017): 5829–49. http://dx.doi.org/10.5194/acp-17-5829-2017.
Повний текст джерелаАнотація:
Abstract. One of the main issues arising from the comparison of ground-based and satellite measurements is the difference in spatial representativeness, which for locations with inhomogeneous spatial distribution of pollutants may lead to significant differences between the two data sets. In order to investigate the spatial variability of tropospheric NO2 within a sub-satellite pixel, a campaign which lasted for about 6 months was held in the greater area of Thessaloniki, Greece. Three multi-axial differential optical absorption spectroscopy (MAX-DOAS) systems performed measurements of tropospheric NO2 columns at different sites representative of urban, suburban and rural conditions. The direct comparison of these ground-based measurements with corresponding products from the Ozone Monitoring Instrument onboard NASA's Aura satellite (OMI/Aura) showed good agreement over the rural and suburban areas, while the comparison with the Global Ozone Monitoring Experiment-2 (GOME-2) onboard EUMETSAT's Meteorological Operational satellites' (MetOp-A and MetOp-B) observations is good only over the rural area. GOME-2A and GOME-2B sensors show an average underestimation of tropospheric NO2 over the urban area of about 10.51 ± 8.32 × 1015 and 10.21 ± 8.87 × 1015 molecules cm−2, respectively. The mean difference between ground-based and OMI observations is significantly lower (6.60 ± 5.71 × 1015 molecules cm−2). The differences found in the comparisons of MAX-DOAS data with the different satellite sensors can be attributed to the higher spatial resolution of OMI, as well as the different overpass times and NO2 retrieval algorithms of the satellites. OMI data were adjusted using factors calculated by an air quality modeling tool, consisting of the Weather Research and Forecasting (WRF) mesoscale meteorological model and the Comprehensive Air Quality Model with Extensions (CAMx) multiscale photochemical transport model. This approach resulted in significant improvement of the comparisons over the urban monitoring site. The average difference of OMI observations from MAX-DOAS measurements was reduced to −1.68 ± 5.01 × 1015 molecules cm−2.
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Laurino, Marco, Tommaso Lomonaco, Francesca Giuseppa Bellagambi, Silvia Ghimenti, Alessandro Messeri, Marco Morabito, Elena Marrucci, Lorenza Pratali, and Maria Giovanna Trivella. "Sport in Town: The Smart Healthy ENV Project, a Pilot Study of Physical Activity with Multiparametric Monitoring." International Journal of Environmental Research and Public Health 18, no. 5 (March 2, 2021): 2432. http://dx.doi.org/10.3390/ijerph18052432.
Повний текст джерелаАнотація:
Background: Increasing evidence links meteorological characteristics and air pollution to physiological responses during sports activities in urban areas with different traffic levels. Objective: The main objective of the Smart Healthy ENV (SHE, “Smart Monitoring Integrated System For A Healthy Urban Environment In Smart Cities”) project was to identify the specific responses of a group of volunteers during physical activity, by monitoring their heart rates and collecting breath samples, combined with data on meteorological determinants and pollution substances obtained through fixed sensor nodes placed along city routes and remotely connected to a dedicated data acquisition server. Methods: Monitoring stations were placed along two urban routes in Pisa, each two km long, with one located within the park beside the Arno river (green route) and the other in a crowded traffic zone (red route). Our sample participants were engaged in sports activities (N = 15, with different levels of ability) and were monitored through wearable sensors. They were first asked to walk back and forth (4 km) and then to run the same route. The experimental sessions were conducted over one day per route. A breath sample was also collected before each test. A questionnaire concerning temperature and fatigue perception was administered for all of the steps of the study over the two days. Results: The heart rates of the participants were monitored in the baseline condition, during walking, and while running, and were correlated with meteorological and pollutant data and with breath composition. Changes in the heart rates and breath composition were detected during the experimental sessions. These variations were related to the physical activity and to the meteorological conditions and air pollution levels. Conclusions: The SHE project can be considered a proof-of-concept study aimed at monitoring physiological and environmental variables during physical activity in urban areas, and can be used in future studies to provide useful information to those involved in sports and the broader community.
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Bani Mfarrej, Manar Fawzi, Nida Ali Qafisheh, and Moez Mohamed Bahloul. "Investigation of Indoor Air Quality inside Houses From UAE." Air, Soil and Water Research 13 (January 2020): 117862212092891. http://dx.doi.org/10.1177/1178622120928912.
Повний текст джерелаАнотація:
The maintenance of a good indoor air quality (IAQ) has been revealed highly required for ensuring comfort and respectable health conditions for home’s residents. Nowadays, the main causes of the homes air quality degradation have been stated to be originated from both indoor and outdoor sources such as gases and/or particles, where their health impacts have been showed to be more hazardous under inadequate ventilation, high temperatures, and high humidity. In the light of the above, investigation of IAQ inside homes seems to be highly recommended. Accordingly, the current research has been aimed to investigate the IAQ in 12 houses located in different parts from Abu Dhabi in United Arab Emirates (UAE) through a regular monitoring of total suspended particles (TSPs), carbon monoxide (CO), carbon dioxide (CO2), formaldehyde (CH2O), and volatile organic compound (VOC) concentrations and some meteorological parameters such as humidity and temperature in side door, kitchen, and bathroom of each selected house. Compared with international standards and with other measured concentrations exhibited in diverse studies around the world, recorded concentrations in different compartments of selected houses have been lower than detection limits and standard values in the case of VOCs and in the case of CO, respectively, indicating that no health risk originates from such pollutants, especially for residents without sensitive problems. On the contrary, registered CH2O and CO2 concentration levels have largely exceeded standard values alerting residents about the potential impact of cooking, fuel combustion, hot water boilers, air conditioning systems, smoking and may be using electronic cigarettes (vaping) while keeping windows and doors closed, causing a bad aeration. In the case of TSP, recorded concentrations have never exceeded 100 µg/m3 in all compartments of 40% of selected houses. However, in the case of houses “3” and “5,” recorded concentrations have been higher than those recorded in houses from Slovakia, indicating the significant impact of outdoor activities in UAE around these houses and to the non-negligible effect of dust event originating from Saharan advection.
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Kamińska, Joanna. "Probabilistic Forecasting of Nitrogen Dioxide Concentrations at an Urban Road Intersection." Sustainability 10, no. 11 (November 15, 2018): 4213. http://dx.doi.org/10.3390/su10114213.
Повний текст джерелаАнотація:
The concentration of nitrogen dioxide in the air along a major route in a large city is affected by very many factors, which are also interdependent. As an alternative to complicated deterministic models based on these complex processes, in this study a probabilistic model for predicting NO2 concentrations is proposed, using a simple accounting cluster-based method for determining probability distributions for tabulated values of ambient factors. Using the example of hourly values of NO2 concentration and data on wind speed and traffic flow for the main intersection in Wrocław (Poland), a model is constructed to predict the frequency of occurrence of concentrations in the form of a probability distribution, for given values of the input variables. The model was successfully verified on data for the first six months of 2018. A mean continuous rank probability score (CRPS) of 9.15 μg/m3 was obtained. In spite of the greater impact of traffic volume on urban NO2 concentrations, as measured by Pearson’s correlation coefficient, for instance, the model indicates that wind speed is also a very important factor—wind being the principal mechanism causing the evacuation of pollutants. This underlines the importance of sustainable city planning with regard to ensuring suitable conditions for the passage of air.
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Jeon, Jin, Joo Hong, Sung Kim, and Ki-Hyun Kim. "Noise Indicators for Size Distributions of Airborne Particles and Traffic Activities in Urban Areas." Sustainability 10, no. 12 (December 5, 2018): 4599. http://dx.doi.org/10.3390/su10124599.
Повний текст джерелаАнотація:
The aim of this study was to explore the relationships among the particle number concentration (PNC), noise, and traffic conditions. Field measurements were conducted to measure the temporal variabilities of the noise levels and PNC over 24 h in a location adjacent to three main traffic roads in Seoul, Korea. The PNC was measured in the range of 0.3 to 10 µm. The noise data was measured by utilizing both the overall levels and spectral characteristics. Traffic data including volumes and speeds of vehicles on the roads were also collected. The results showed that the correlations among the three key parameters varied depending on changes in the noise frequency and particle size. The noise levels at 100–200 Hz were positively correlated with traffic volume and submicron particles. In contrast, they exhibited inverse correlations with the traffic speed and the number of larger particles (>2.5 µm). Compared to noise levels at 100–200 Hz, noise levels at 1–2 kHz exhibited reverse relationships between the traffic and PNC. Submicron particles (0.3–1.0 µm) tended to be more strongly associated with noise levels during the daytime, while those greater than 2.5 µm maintained relatively stable correlations with the noise throughout the day. The findings address the importance of temporal and spectral-specific monitoring of air and noise pollutants for a better understanding of the exposure of the community to air and noise pollution.
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Voroshuk, V., I. Karavae, O. Pronin, S. Novitskiy, and E. Frolova. "Ecological safety of penitentiary institutions in Russia." IOP Conference Series: Earth and Environmental Science 937, no. 4 (December 1, 2021): 042002. http://dx.doi.org/10.1088/1755-1315/937/4/042002.
Повний текст джерелаАнотація:
Abstract The work is devoted to the issues of ecological safety of production in penitentiary institutions in Russia. The production and economic activity of penitentiary institutions is analyzed from the point of view of its impact on the environment. The main sources of environmental pollution by institutions of the penitentiary system are listed and ways of their solution are proposed. The state and experience of solving problems of environmental safety in different territorial bodies are shown. The question is raised about the work of environmental structures in the activities of the penal system facilities. The authors analyze the powers of the structures under consideration and the problems arising in the implementation of their duties. The main problematic aspects of environmental safety are highlighted, including the absence in penitentiary institutions of Russia in the required means of measuring and monitoring the technical condition of environmental structures and equipment in penal institutions; ineffective operation of the existing treatment facilities due to their deterioration or congestion; presence at the enterprises of the penal system of hazardous waste, including highly toxic; insufficiently productive work on the development of environmental design documentation and obtaining permits for emissions of pollutants into the air, for discharges of untreated wastewater into water bodies, for licensing of hazardous waste management activities. As a result - a large number of sanctions for violation of environmental legislation. As measures to ensure environmental safety in the Russian penitentiary system, the authors, among other things, propose: the development and adoption of an order of the Ministry of Justice regulating environmental safety in the penal system; ensuring the attraction of investments for the timely implementation of environmental protection measures; establishment and organization of sanitary protection zones.
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Lu, He, Wang, Ye, Hua, and Ding. "Efficiency Evaluation of Atmospheric Pollutants Emission in Zhejiang Province China: A DEA-Malmquist Based Approach." Sustainability 11, no. 17 (August 21, 2019): 4544. http://dx.doi.org/10.3390/su11174544.
Повний текст джерелаАнотація:
In order to sustainably and reasonably evaluate the characteristics and efficiency of regional atmospheric environment, this paper calculated the atmospheric environmental efficiency and regional differences, which is based on the non-radial directional distance function DEA model, among 11 cities in Zhejiang Province from 2006 to 2016 in both static and dynamic dimensions. Compared with existing researches, the atmospheric environmental efficiency evaluation system constructed in this paper not only considered the development of regional economy, but also focused on the air quality output so as to constrain the emission of atmospheric pollutants. The results showed that the average value of the static efficiency of atmospheric environment in Zhejiang was 0.6824 over the past ten years, and there was still about 32 percentage difference from the production frontier. The room for improvement in pollution reduction and control was still huge. The pure technical efficiency was the main factor to impede the improvement of atmospheric environment’s static efficiency in Zhejiang. Meanwhile the dynamic efficiency of atmospheric environment in Zhejiang reached an average annual rate of 7.60%, with a cumulative increase of 93.28%. As well, there were significant urban differences in the growth rate, of which Hangzhou was the fastest, followed by Ningbo and Jiaxing. The improvement of atmospheric environmental efficiency was mainly driven by technological advancement and scale efficiency expansion. The distribution of 11 cities in the four high and low environmental efficiency matrices was relatively uniform, and there was no “Matthew Effect” of H/H or L/L polarization. In the future, Zhejiang needs to formulate corresponding measures to control the atmospheric pollution by fully considering the actual conditions at different cities, and effectively strengthen the environmental management exchanges and collaboration within the province to enhance the overall atmospheric environment efficiency.
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Trilles, Sergio, Ana Belen Vicente, Pablo Juan, Francisco Ramos, Sergi Meseguer, and Laura Serra. "Reliability Validation of a Low-Cost Particulate Matter IoT Sensor in Indoor and Outdoor Environments Using a Reference Sampler." Sustainability 11, no. 24 (December 16, 2019): 7220. http://dx.doi.org/10.3390/su11247220.
Повний текст джерелаАнотація:
A suitable and quick determination of air quality allows the population to be alerted with respect to high concentrations of pollutants. Recent advances in computer science have led to the development of a high number of low-cost sensors, improving the spatial and temporal resolution of air quality data while increasing the effectiveness of risk assessment. The main objective of this work is to perform a validation of a particulate matter (PM) sensor (HM-3301) in indoor and outdoor environments to study PM2.5 and PM10 concentrations. To date, this sensor has not been evaluated in real-world situations, and its data quality has not been documented. Here, the HM-3301 sensor is integrated into an Internet of things (IoT) platform to establish a permanent Internet connection. The validation is carried out using a reference sampler (LVS3 of Derenda) according to EN12341:2014. It is focused on statistical insight, and environmental conditions are not considered in this study. The ordinary Linear Model, the Generalized Linear Model, Locally Estimated Scatterplot Smoothing, and the Generalized Additive Model have been proposed to compare and contrast the outcomes. The low-cost sensor is highly correlated with the reference measure ( R 2 greater than 0.70), especially for PM2.5, with a very high accuracy value. In addition, there is a positive relationship between the two measurements, which can be appropriately fitted through the Locally Estimated Scatterplot Smoothing model.
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Khodzher, T. V., V. A. Obolkin, E. V. Molozhnikova, and M. Yu Shikhovtsev. "Some Results of Digital (in situ) Monitoring of Atmospheric Pollution with Gaseous Impurities in the Central Ecological Zone of South Baikal." Bulletin of Irkutsk State University. Series Earth Sciences 34 (2020): 141–55. http://dx.doi.org/10.26516/2073-3402.2020.34.141.
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The article presents the results of continuous automatic monitoring of atmospheric transport of pollutants in the source area of the Angara river (South Baikal) at the "Listvyanka" atmospheric monitoring station in 2019-2020. The temporal variability of the concentrations of oxides of sulfur, nitrogen, and mercury in the atmosphere of the сentral ecological zone of the lake Baikal is analyzed with high resolution from minutes to days. The use of automatic high-resolution gas analyzers for atmospheric impurities and meteorological parameters allows real-time monitoring of the flow of atmospheric pollution into the сentral ecological zone of South Baikal. Depending on the meteorological and synoptic conditions, observations demonstrate a high variability in the concentrations of anthropogenic impurities in the atmosphere over South Baikal. It is shown that the most severe atmospheric pollution occurs during the transfer of air masses from the north-northwest in winter. When transported from the South Baikal, atmospheric pollution is minimal. The temporal variability of the concentrations of the studied impurities occurs synchronously, which indicates their common source of origin – the combustion of fossil fuel. The highest time fluctuations are determined for the concentrations of sulfur and nitrogen oxides, the fluctuations in mercury concentrations are less significant. The average (median) and maximum (one-time) concentrations of sulfur oxides at "Listvyanka" station are given, depending on the prevailing wind directions. Direct trajectories of air mass transfer from the source cities of the Irkutsk region (Irkutsk, Angarsk, Shelekhov) are presented. At the time of the increase in the concentration of gas impurities at the "Listvyanka" station, pollution was transferred from the industrial complexes of the Baikal region. In the conclusion of the article, it is concluded that there are two main mechanisms of atmospheric pollution in the central ecological zone of Lake Baikal: direct transfer of individual weakly scattered plumes of separate regional thermal power plants with jet air currents at the upper boundary of the night boundary layers of the atmosphere (from 200 to 500 m above ground level); large-scale northwestern transport of mixed emissions from many regional and remote sources under the influence of synoptic-scale processes. Small settlements located on the coast, due to small volumes of emissions, do not make a significant contribution to the pollution of the lake's atmosphere. The work was supported by the Ministry of Science and Higher Education of the Russian Federation (grant No. 075-15-2020-787 for implementation of large scientific project "Fundamentals, methods and technologies for digital monitoring and forecasting of the environmental situation on the Baikal natural territory".
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Lee, Kyunghwa, Jinhyeok Yu, Sojin Lee, Mieun Park, Hun Hong, Soon Young Park, Myungje Choi, et al. "Development of Korean Air Quality Prediction System version 1 (KAQPS v1) with focuses on practical issues." Geoscientific Model Development 13, no. 3 (March 10, 2020): 1055–73. http://dx.doi.org/10.5194/gmd-13-1055-2020.
Повний текст джерелаАнотація:
Abstract. For the purpose of providing reliable and robust air quality predictions, an air quality prediction system was developed for the main air quality criteria species in South Korea (PM10, PM2.5, CO, O3 and SO2). The main caveat of the system is to prepare the initial conditions (ICs) of the Community Multiscale Air Quality (CMAQ) model simulations using observations from the Geostationary Ocean Color Imager (GOCI) and ground-based monitoring networks in northeast Asia. The performance of the air quality prediction system was evaluated during the Korea-United States Air Quality Study (KORUS-AQ) campaign period (1 May–12 June 2016). Data assimilation (DA) of optimal interpolation (OI) with Kalman filter was used in this study. One major advantage of the system is that it can predict not only particulate matter (PM) concentrations but also PM chemical composition including five main constituents: sulfate (SO42-), nitrate (NO3-), ammonium (NH4+), organic aerosols (OAs) and elemental carbon (EC). In addition, it is also capable of predicting the concentrations of gaseous pollutants (CO, O3 and SO2). In this sense, this new air quality prediction system is comprehensive. The results with the ICs (DA RUN) were compared with those of the CMAQ simulations without ICs (BASE RUN). For almost all of the species, the application of ICs led to improved performance in terms of correlation, errors and biases over the entire campaign period. The DA RUN agreed reasonably well with the observations for PM10 (index of agreement IOA =0.60; mean bias MB =-13.54) and PM2.5 (IOA =0.71; MB =-2.43) as compared to the BASE RUN for PM10 (IOA =0.51; MB =-27.18) and PM2.5 (IOA =0.67; MB =-9.9). A significant improvement was also found with the DA RUN in terms of bias. For example, for CO, the MB of −0.27 (BASE RUN) was greatly enhanced to −0.036 (DA RUN). In the cases of O3 and SO2, the DA RUN also showed better performance than the BASE RUN. Further, several more practical issues frequently encountered in the air quality prediction system were also discussed. In order to attain more accurate ozone predictions, the DA of NO2 mixing ratios should be implemented with careful consideration of the measurement artifacts (i.e., inclusion of alkyl nitrates, HNO3 and peroxyacetyl nitrates – PANs – in the ground-observed NO2 mixing ratios). It was also discussed that, in order to ensure accurate nocturnal predictions of the concentrations of the ambient species, accurate predictions of the mixing layer heights (MLHs) should be achieved from the meteorological modeling. Several advantages of the current air quality prediction system, such as its non-static free-parameter scheme, dust episode prediction and possible multiple implementations of DA prior to actual predictions, were also discussed. These configurations are all possible because the current DA system is not computationally expensive. In the ongoing and future works, more advanced DA techniques such as the 3D variational (3DVAR) method and ensemble Kalman filter (EnK) are being tested and will be introduced to the Korean air quality prediction system (KAQPS).
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Dall'Osto, M., X. Querol, A. Alastuey, M. C. Minguillon, M. Alier, F. Amato, M. Brines, et al. "Presenting SAPUSS: solving aerosol problem by using synergistic strategies at Barcelona, Spain." Atmospheric Chemistry and Physics Discussions 12, no. 7 (July 31, 2012): 18741–815. http://dx.doi.org/10.5194/acpd-12-18741-2012.
Повний текст джерелаАнотація:
Abstract. This paper presents the summary of the key objectives, instrumentation and logistic details, goals, and initial scientific findings of the Marie Curie Action FP7-EU SAPUSS project carried out in the Western Mediterranean Basin (WMB) from 20 September–20 October 2010. The experiment involved concurrent measurements of aerosols with multiple techniques occurring simultaneously. The key objective is to deduce point aerosol source characteristics and to understand the atmospheric processes responsible for their generations and transformations. The unique approach is the large variety of instrumentation deployed simultaneously in six monitoring sites in Barcelona (NE Spain) and around the city, including: a main road traffic site, two urban background sites, a regional background site and two tower sites (150 m and 545 m a.s.l., 150 m and 80 m above ground, respectively). The SAPUSS experiment allows us to interpret the variability of aerosols levels and composition in an Urban Mediterranean, an environment not well characterized so far. During SAPUSS different air mass scenarios were encountered, including warm Saharan, cold Atlantic, wet European and stagnant Regional ones and presenting different local meteorology and boundary layer conditions. Analysis of part of the data collected allows us to compare the monitoring sites as well as to draw scientific conclusions about relevant air quality parameters. High levels of traffic-related gaseous pollutants were measured at the urban ground level monitoring sites, whereas layers of tropospheric ozone were recorded at tower levels. Particularly, tower level night time average ozone concentrations (80 ± 25 μg m−3) were up to double than ground level ones. Particle number concentrations (N>5: 9980 ± 6500 cm−1, average of all measurements) were generally traffic dependent, although a contribution from two different types of nucleation events was also found. Analysis of the particulate matter (PM) mass concentrations shows an enhancement of coarse particles (PM2.5-10) at the urban ground level (+64%, average 11.7 μg m−3) but of fine ones (PM1) at urban tower level (+28%, average 14.4 μg m−3). Preliminary modeling findings reveal an underestimation of the fine accumulation aerosols. In summary, this paper lays the foundation of SAPUSS, an integrated study of relevance to many other similar urban Mediterranean coastal environment sites.
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Tang, G., Y. Wang, X. Li, D. Ji, S. Hsu, and X. Gao. "Spatial-temporal variations in surface ozone in Northern China as observed during 2009–2010 and possible implications for future air quality control strategies." Atmospheric Chemistry and Physics 12, no. 5 (March 15, 2012): 2757–76. http://dx.doi.org/10.5194/acp-12-2757-2012.
Повний текст джерелаАнотація:
Abstract. The Project of Atmospheric Combined Pollution Monitoring over Beijing and its Surrounding Areas, was an intensive field campaign conducted over Northern China between June 2009 and August 2011 to provide a comprehensive record of ozone (O3) and nitrogen oxides (NOx) and contribute to an in-depth understanding of air pollution in Northern China and its driving forces. In this campaign, 25 stations in an air-quality monitoring network provided regional-scale spatial coverage. In this study, we analyzed the data on O3 and NOx levels obtained at 22 sites (out of 25 sites due to data availability) over Northern China between 1 September 2009 and 31 August 2010. Our goal was to investigate the O3 spatial-temporal variations and control strategy in this area. Significant diurnal and seasonal variations were noted, with the highest concentrations typically found at around 03:00 p.m. (local time) and in June. The lowest concentrations were generally found during early morning hours (around 06:00 a.m.) and in December. Compared with July and August, June has increased photochemical production due to decreased cloud cover coupled with reduced O3 loss due to less dry deposition, inducing an O3 peak appearing in June. The averaged O3 concentrations were lower in the plains area compared with the mountainous area due to the titration effects of high NOx emissions in urban areas. When the characteristics of O3 pollution in different regions were distinguished by factor analysis, we found high levels of O3 that exceeded China's National Standard throughout the plains, especially over Beijing and the surrounding areas. An integrated analysis with emissions data, meteorological data, and topography over Northern China found that the meteorological conditions were the main factors that dominated the spatial variations of O3, with the presence of abundant emissions of precursors in this area. The smog production algorithm and space-based HCHO/NO2 column ratio were used to show the O3-NOx-VOCs sensitivity and examine the control strategy of O3 over Northern China. The results show that summer O3 production in the plains and northern mountainous areas was sensitive to VOCs and NOx, respectively. The presented results are intended to provide guidance for redefining government strategies to control the photochemical formation of air pollutants over Northern China and are relevant for developing urban agglomerations worldwide.
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Liu, X. G., J. Li, Y. Qu, T. Han, L. Hou, J. Gu, C. Chen, et al. "Formation and evolution mechanism of regional haze: a case study in the megacity Beijing, China." Atmospheric Chemistry and Physics 13, no. 9 (May 2, 2013): 4501–14. http://dx.doi.org/10.5194/acp-13-4501-2013.
Повний текст джерелаАнотація:
Abstract. The main objective of this study is to investigate the formation and evolution mechanism of the regional haze in megacity Beijing by analyzing the process of a severe haze that occurred 20–27 September 2011. Mass concentration and size distribution of aerosol particles as well as aerosol optical properties were concurrently measured at the Beijing urban atmospheric environment monitoring station. Gaseous pollutants (SO2, NO-NO2-NOx, O3, CO) and meteorological parameters (wind speed, wind direction, and relative humidity) were simultaneously monitored. Meanwhile, aerosol spatial distribution and the height of planetary boundary layer (PBL) were retrieved from the signal of satellite and LIDAR (light detection and ranging). Concentrations of NO, NO2, SO2, O3, and CO observed during 23–27 September had exceeded the national ambient air quality standards for residents. The mass concentration of PM2.5 gradually accumulated during the measurement and reached at 220 μg m−3 on 26 September, and the corresponding atmospheric visibility was only 1.1 km. The daily averaged AOD in Beijing increased from ~ 0.16 at λ = 500 nm on 22 September and reached ~ 3.5 on 26 September. The key factors that affected the formation and evolution of this haze episode were stable anti-cyclone synoptic conditions at the surface, decreasing of the height of PBL, heavy pollution emissions from urban area, number and size evolution of aerosols, and hygroscopic growth for aerosol scattering. This case study may provide valuable information for the public to recognize the formation mechanism of the regional haze event over the megacity, which is also useful for the government to adopt scientific approach to forecast and eliminate the occurrence of regional haze in China.