Journal articles on the topic 'Pollution pattern'

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1

Chen, Hong, and Chun Yi Duan. "Research on the Pattern of Comprehensive Improvement of Small Watershed Pollution in Guangxi Province." Applied Mechanics and Materials 535 (February 2014): 394–98. http://dx.doi.org/10.4028/www.scientific.net/amm.535.394.

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This paper concern the difficulties of comprehensive improvement of small watershed pollution. There were some patterns of comprehensive improvement of small watershed pollution, which include industrial pollution, domestic pollution, non-point source polluting, and rural non-point source pollution in small watershed. We put out control measures of these pollution and long-term mechanism of mall basin pollution remediation
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2

Cai, Qixiang, and Xiaodong Yan. "Global pattern of pollution manufacturing index." Journal of Cleaner Production 286 (March 2021): 125497. http://dx.doi.org/10.1016/j.jclepro.2020.125497.

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3

Saito, K., and S. Ogawa. "FRACTAL DIMENSIONS FOR RADIOISOTOPE POLLUTION PATTERNS BY NUCLEAR POWER PLANT ACCIDENTS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W3 (April 30, 2015): 919–25. http://dx.doi.org/10.5194/isprsarchives-xl-7-w3-919-2015.

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The radioisotope pollution shows two types of patterns: dry and wet deposits for nuclear power plant accidents. Two surface pollution patterns were analysed by fractal. In Fukushima nuclear power plant accident, surface pollution by wet deposits was estimated to occur. However, actually it was no rain and white crystals were observed on the surface. Then, fractal analysis was carried out for the spatial distribution patterns of radio isotopes on the surface to judge the types of deposits. As a reference, Chernobyl nuclear power plant accident was checked for the spatial distribution patterns of radioisotopes on the surface. The objective patterns by fractal analysis were the surface pollution maps in Fukushima and Chernobyl, Abukuma river watershed map, and NOAA/AVHRR. The calculation of fractal dimensions was carried out with the box counting for binarized images. Fractal analysis results suggested the next conclusions. The radioisotope pollution in Fukushima might occur in both dry and wet deposits. The dry deposit might make the pollution pattern similar to the watershed, while the wet deposit might make the pollution pattern similar to cloud images. Moreover, most radioisotope contaminants might flow on the road in the forest valley and deposit on forest with and without rainfall in Fukushima.
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4

Yu, Hao, Qingquan Jia, Ning Wang, and Haiyan Dong. "A Data-Driven Modeling Strategy for Smart Grid Power Quality Coupling Assessment Based on Time Series Pattern Matching." Mathematical Problems in Engineering 2018 (2018): 1–12. http://dx.doi.org/10.1155/2018/2765945.

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This study introduces a data-driven modeling strategy for smart grid power quality (PQ) coupling assessment based on time series pattern matching to quantify the influence of single and integrated disturbance among nodes in different pollution patterns. Periodic and random PQ patterns are constructed by using multidimensional frequency-domain decomposition for all disturbances. A multidimensional piecewise linear representation based on local extreme points is proposed to extract the patterns features of single and integrated disturbance in consideration of disturbance variation trend and severity. A feature distance of pattern (FDP) is developed to implement pattern matching on univariate PQ time series (UPQTS) and multivariate PQ time series (MPQTS) to quantify the influence of single and integrated disturbance among nodes in the pollution patterns. Case studies on a 14-bus distribution system are performed and analyzed; the accuracy and applicability of the FDP in the smart grid PQ coupling assessment are verified by comparing with other time series pattern matching methods.
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5

Borah, Anindita, and Bhabesh Nath. "An Efficient Method for Mining Rare Association Rules: A Case Study on Air Pollution." International Journal on Artificial Intelligence Tools 30, no. 04 (June 2021): 2150018. http://dx.doi.org/10.1142/s0218213021500184.

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Most pattern mining techniques almost singularly focus on identifying frequent patterns and very less attention has been paid to the generation of rare patterns. However, in several domains, recognizing less frequent but strongly related patterns have greater advantage over the former ones. Identification of compelling and meaningful rare associations among such patterns may proved to be significant for air quality management that has become an indispensable task in today’s world. The rare correlations between air pollutants and other parameters may aid in restricting the air pollution to a manageable level. To this end, efficient and competent rare pattern mining techniques are needed that can generate the complete set of rare patterns, further identifying significant rare association rules among them. Moreover, a notable issue with databases is their continuous update over time due to the addition of new records. The users requirement or behavior may change with the incremental update of databases that makes it difficult to determine a suitable support threshold for the extraction of interesting rare association rules. This paper, presents an efficient rare pattern mining technique to capture the complete set of rare patterns from a real environmental dataset. The proposed approach does not restart the entire mining process upon threshold update and generates the complete set of rare association rules in a single database scan. It can effectively perform incremental mining and also provides flexibility to the user to regulate the value of support threshold for generating the rare patterns. Significant rare association rules representing correlations between air pollutants and other environmental parameters are further extracted from the generated rare patterns to identify the substantial causes of air pollution. Performance analysis shows that the proposed method is more efficient than existing rare pattern mining approaches in providing significant directions to the domain experts for air pollution monitoring.
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6

Lavine, B. K., A. Stine, and H. T. Mayfield. "Gas chromatography-pattern recognition techniques in pollution monitoring." Analytica Chimica Acta 277, no. 2 (May 1993): 357–67. http://dx.doi.org/10.1016/0003-2670(93)80448-t.

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7

Wu, Xiangmei (May), Zhihua (Tina) Fan, and Pamela Ohman-Strickland. "Time-Location Patterns of a Population Living in an Air Pollution Hotspot." Journal of Environmental and Public Health 2010 (2010): 1–10. http://dx.doi.org/10.1155/2010/625461.

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This study characterized the time-location pattern of 107 residents living in air pollution hotspots, the Waterfront South and Copewood/Davis Streets communities in Camden, NJ. Most residents in the two communities are minority and impoverished individuals. Results showed that employment status played the fundamental role in determining time-location patterns of this study population, and the variations of time-location pattern by season and by day-type were partially attributed to employment status. Compared to the National Human Activity Pattern Survey, the Camden cohort spent significantly more time outdoors (3.8 hours versus 1.8 hours) and less time indoors (19.4 hours versus 20.9 hours) than the general US population, indicating a higher risk of exposure to ambient air pollution for the Camden cohort. The findings of the study are important for understanding exposure routes and sources for the socioeconomically disadvantaged subgroup and ultimately help develop effective strategies to reduce community exposure to ambient air pollution in “hotspots”.
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8

Mityagina, Marina I., Olga Yu Lavrova, and Andrey G. Kostianoy. "Main Pattern of the Caspian Sea Surface Oil Pollution Revealed by Satellite Data." Ecologica Montenegrina 25 (November 8, 2019): 91–105. http://dx.doi.org/10.37828/em.2019.25.9.

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Over the years, oil pollution has been the primary environmental problem of the Caspian Sea. In this paper, we present the results of our satellite survey in 2019 of the whole aquatic area of the Caspian Sea. These results reveal the spatial and temporal distribution of hydrocarbon films of various origins on the sea surface. Our primary attention was focused on the main types of petroleum hydrocarbon films polluting the sea surface. They get into the aquatic area via several different ways: (i) from natural marine hydrocarbon emissions from the seabed; (ii) from the mouths of numerous mud volcanoes; (iii) from offshore oil production and transportation; (iv) from oily wastewaters discharged by ships. We mapped the petroleum hydrocarbon pollution of the Caspian Sea surface on the base of satellite data. For each type of pollution, specific manifestation features were revealed, regions of regular pollution occurrence were outlined, and polluted areas were estimated. The relative contribution of every kind of pollution to the total oil pollution of the Caspian Sea is assessed on the base of satellite data. Comparison with the previous results of our long-term survey of the Caspian Sea is made. The problem of reliability of quantitative estimates of surfaced oil volumes on the base of slick areas seen in the satellite images is discussed.
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9

Yin, Zhicong, Bufan Cao, and Huijun Wang. "Dominant patterns of summer ozone pollution in eastern China and associated atmospheric circulations." Atmospheric Chemistry and Physics 19, no. 22 (November 20, 2019): 13933–43. http://dx.doi.org/10.5194/acp-19-13933-2019.

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Abstract. Surface ozone has been severe during summers in the eastern parts of China, damaging human health and flora and fauna. During 2015–2018, ground-level ozone pollution increased and intensified from south to north. In North China and the Huanghuai region, the O3 concentrations were highest. Two dominant patterns of summer ozone pollution were determined, i.e., a south–north covariant pattern and a south–north differential pattern. The anomalous atmospheric circulations composited for the first pattern manifested as a zonally enhanced East Asian deep trough and as a western Pacific subtropical high, whose western ridge point shifted northward. The local hot, dry air and intense solar radiation enhanced the photochemical reactions to elevate the O3 pollution levels in North China and the Huanghuai region; however, the removal of pollutants was decreased. For the second pattern, the broad positive geopotential height anomalies at high latitudes significantly weakened cold air advection from the north, and those extending to North China resulted in locally high temperatures near the surface. In a different manner, the western Pacific subtropical high transported sufficient water vapor to the Yangtze River Delta and resulted in a locally adverse environment for the formation of surface ozone. In addition, the most dominant pattern in 2017 and 2018 was different from that in previous years, which is investigated as a new feature.
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10

Zhang, Jianwei, Heng Li, Guoxin Jiao, Jiayi Wang, Jingjing Li, Mengzhen Li, and Haining Jiang. "Spatial Pattern of Technological Innovation in the Yangtze River Delta Region and Its Impact on Water Pollution." International Journal of Environmental Research and Public Health 19, no. 12 (June 17, 2022): 7437. http://dx.doi.org/10.3390/ijerph19127437.

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The impact of technological innovation on water pollution is an important parameter to determine and monitor while promoting and furthering a region’s economic development. Here, exploratory spatial data analysis was used to analyze: the spatial patterns of technological innovation and water pollution in the Yangtze River, the changes in technical innovation and the resulting changes in water pollution, and the impact of technological innovation on water pollution. The following major inferences were drawn from the obtained results: (1) The spatial pattern of innovation input has a single-center structure that tends to spread. The patent innovation output has evolved, from a single spatial pattern with Shanghai as the core to a diffusion structure with three cores-Hangzhou, Shanghai, and Nanjing. (2) The aggregation mode of water pollution has evolved from the original “Z” mode to a new mode of core agglomeration, and water pollution is constantly being reduced. (3) The trends of change in patent innovation output and innovation input are roughly the same, while the trends of both and that of water pollution are contrary to each other. (4) The correlations between innovation input, patented innovation output, and water pollution are relatively low. From the perspective of spatial distribution, the number of cities with medium and high levels of gray correlation with water pollution is the same.
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11

Permata, Veronika, Hari Siswoyo, and Riyanto Haribowo. "Mapping of Groundwater Flow Pattern and its Quality Index based on Microbiological Parameters in Klojen District, Malang City, East Java, Indonesia." Civil and Environmental Science 004, no. 02 (October 1, 2021): 106–14. http://dx.doi.org/10.21776/ub.civense.2021.00402.1.

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Groundwater is one source of fulfilling water needs for the Klojen district, the most populous district in Malang City. Population density affects the condition of groundwater quality because it causes pollution. The possibility of groundwater quality contamination can be identified by mapping the flow pattern and determining the quality level according to its use as drinking water. The purpose of this study is to map the groundwater quality index according to its flow pattern. Flow patterns based on groundwater-surface contours can indicate the direction of flow and the direction of pollution. The quality of groundwater according to its use as drinking water was identified using the Weighted Arithmetic Water Quality Index (WAWQI) method. Based on the research results, the research location's flow pattern generally flows from North to South. According to the flow pattern, groundwater quality is getting worse, as indicated by an increase in the index value
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12

Akbari, M., and F. Samadzadegan. "Identification of air pollution patterns using a modified fuzzy co-occurrence pattern mining method." International Journal of Environmental Science and Technology 12, no. 11 (September 4, 2015): 3551–62. http://dx.doi.org/10.1007/s13762-015-0880-4.

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13

Cheng, Shuiping. "Heavy metal pollution in China: Origin, pattern and control." Environmental Science and Pollution Research 10, no. 3 (May 2003): 192–98. http://dx.doi.org/10.1065/espr2002.11.141.1.

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14

Hwang, Je-Ho, Sang-Hyung Park, So-Hyun Yun, and Si-Hyun Kim. "Analysis of High Concentration Diffusion Pattern by Air Pollutions in Port Industry Interfaces." Journal of Korea Trade 26, no. 3 (May 30, 2022): 117–36. http://dx.doi.org/10.35611/jkt.2022.26.3.117.

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Purpose - Port is vital for international trade accounting for approximately 80% of world cargo transportation in the global trade sector. Air pollutants emitted owing to the related industry interfaces developed around the port spread throughout the dense population region can have harmful effects on the nearby residents. This study aims to analyze high-concentration diffusion pattern by air pollutants, considering the main management periods by air pollutants. Design/methodology - Employing the concentration criteria per main air pollutant, the analyses of concentration change patterns per air pollutant, wind characteristics that directly affected the air pollutant diffusion, distribution types per air pollutant, and high-concentration diffusion patterns by season according to time changes were conducted. Findings - The substances that caused harmful levels of air pollution in the hinterland living zone of the Busan New Port were PM_10, PM_2.5, and NO_2. Furthermore, the intensive management periods were as follows: For PM_10, 24-h (spring), 12:00-16:00 (summer), 12:00-16:00 (summer), 20:00-12:00 (fall), and 24:00-20:00 (winter), and for PM_2.5, 24-h (all four seasons), and for NO_2, 23:00-04:00 (spring), 23:00-08:00 (summer), and 20:00-08:00 (fall), and 23:00-04:00 (winter). Originality/value - Research finding indicates that regular monitoring and countermeasures to reduce air pollution for each air pollutant makes it possible to achieve effective air quality control in the port and hinterland living zones.
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15

Chen, Fuyao, Yongjun Yang, Jiaxin Mi, Run Liu, Huping Hou, and Shaoliang Zhang. "Effects of Vegetation Pattern and Spontaneous Succession on Remediation of Potential Toxic Metal-Polluted Soil in Mine Dumps." Sustainability 11, no. 2 (January 14, 2019): 397. http://dx.doi.org/10.3390/su11020397.

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The ecological rehabilitation of potential toxic metal-contaminated soils in sites disturbed by mining has been a great challenge in recent decades. Phytoremediation is one of the most widely promoted renovation methods due to its environmental friendliness and low cost. However, there is a lack of in situ investigation on the influence of vegetation pattern and spontaneous succession on the rehabilitation of potential toxic metal-polluted soil. To clarify how the vegetation pattern in the early stage of restoration and the spontaneous succession influence the remediation of the soil, we investigated a metal mining dump in Sichuan, China, by field investigation and laboratory analysis. We determined the plant growth, soil fertility, and the capacity of potential toxic metals (PTMs) in metal mining soil under different initial vegetation patterns for different years to understand the role of vegetation pattern and spontaneous succession in PTM pollution phytoremediation projects. The results show that: (1) Phytoremediation with a simple initial vegetation pattern (RP rehabilitative plant pattern) which involves two rehabilitation plants, Agave sisalana and Neyraudia reynaudiana, achieves a PTM pollution index that is 9.28% lower than that obtained with the complex vegetation pattern (RP&LP rehabilitation plants mixed with local plants pattern), 21.86% lower in the soil fertility index, and 73.69% lower in the biodiversity index; (2) The phytoremediation with the 10-year RP&LP pattern was associated with a PTM pollution index that was 4.04% higher than that for the 17-year RP&LP pattern, a soil fertility index that was 4.48% lower, and a biodiversity index that was 12.49% lower. During the process of vegetation succession, if accumulator plants face inhibition of growth or retreat, the reclamation rate will decrease. The vegetation patterns influence the effect of phytoremediation. Spontaneous vegetation succession will cause the phytoremediation process to deviate from the intended target. Therefore, according to the goal of vegetation restoration, choosing a suitable vegetation pattern is the main premise to ensure the effect of phytoremediation. The indispensable manipulation of succession is significant during the succession series, and more attention should be paid to the rehabilitative plants to ensure the stable effect of reclamation. The results obtained in this study could provide a guideline for the in situ remediation of PTM-polluted soil in China.
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Bao, Qibei, Cheng Liu, Kurt Friese, Tallent Dadi, Juhua Yu, Chengxin Fan, and Qiushi Shen. "Understanding the Heavy Metal Pollution Pattern in Sediments of a Typical Small- and Medium-Sized Reservoir in China." International Journal of Environmental Research and Public Health 20, no. 1 (December 30, 2022): 708. http://dx.doi.org/10.3390/ijerph20010708.

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Heavy metal pollution in sediments is a common environmental issue in small- and medium-sized reservoirs not only in China but also worldwide; however, few interpretations of the pollution pattern exist. Based on the analyses of accumulation characteristics, ecological risks, and source apportionments of eight heavy metals (As, Cd, Cr, Cu, Hg, Pb, Ni, and Zn) in sediments, we derived a paradigm to describe the pollution pattern of heavy metals in sediments of a typical small- and medium-sized Tongjiqiao Reservoir. The results showed high levels of Cd, Hg, and As pollutants in the surface and upper sediment layers of the pre-dam area. Additionally, As, Cd, Hg, and Pb pollutants peaked in the middle layers of the inflow area, indicating a high ecological risk in these areas. The positive matrix factorization results implied that industrial, agricultural, and transportation activities were the main sources of heavy metals. The heavy metal pollution pattern exhibited three distinct stages: low contamination, rapid pollution, and pollution control. This pattern explains the heavy metal pollution process in the sediments and will provide scientific guidance for realizing the green and sustainable operation and development of the reservoir.
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Tao, Ruiyi, Hye-Sook Park, Takaya Kato, and Norihiro Nishimura. "Adaption to Tianjin, China, Based on a Retrospective Pattern Study on the Petrochemical Industry Development and the Correlated Process of SO2 Abatement in Yokkaichi, Japan." Sustainability 15, no. 1 (December 28, 2022): 498. http://dx.doi.org/10.3390/su15010498.

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Yokkaichi is one of the four major Japanese cities facing air pollution after World War II, owing to modern urban industrialization in the 20th century. Tianjin City, in China, also showed similar industrial patterns in the petrochemical industry. For decades, the petrochemical industry development has been deteriorating the environment with its by-product, sulfur dioxide (SO2). In this paper, we summarized the characteristics of air pollution in Yokkaichi through a retrospective approach by comparing common features of Yokkaichi and Tianjin. We believe that Yokkaichi is at Stage 4, after the pollution stage, whereas Tianjin is currently in Stage 3. We believe that the efficacy of regional environmental policies in Yokkaichi related to SO2 pollution can help predict the pollution pattern in Tianjin. We used an extended stochastic regression on a population, affluence, and technology model as a reference to demonstrate the feasibility of Yokkaichi’s pattern and the comparison between Yokkaichi and Tianjin. Fossil fuels, especially crude oil, may continuously be exploited as the main energy source in the next few decades. Thus, experiences of SO2 air pollution in Yokkaichi and Tianjin’s could be of universal value. As it has been 50 years since the final judgment of the Yokkaichi Asthma and Yokkaichi Air pollution joint lawsuit, we attempted to reflect on Yokkaichi’s history to strengthen efforts to achieve future sustainable development goals.
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18

Zhang, Ke, and Xingwei Wang. "Pollution Haven Hypothesis of Global CO2, SO2, NOx—Evidence from 43 Economies and 56 Sectors." International Journal of Environmental Research and Public Health 18, no. 12 (June 18, 2021): 6552. http://dx.doi.org/10.3390/ijerph18126552.

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With the development of trade liberalization, the pollutants emissions embodied in global trade are increasing. The pollution haven hypothesis caused by trade has aroused wide attention. The fragmentation of international production has reshaped trade patterns. The proportion of intermediate product trade in global trade is increasing. However, little has been done to study the pollution haven of different pollutants under different trade patterns. In this paper, major environmental pollutants CO2 (carbon dioxide), SO2 (sulfur dioxide), and NOx (nitrogen oxides) are selected as the research objects. This study investigated the global pollution haven phenomenon in 43 countries and 56 major industries from 2000 to 2014. Based on the MRIO model, the trade mode is divided into three specific patterns: final product trade, intermediate product trade in the last stage of production, and the trade related to the global value chain. The results show that trade liberalization could reduce global CO2, SO2, and NOx emissions, and intermediate product trade has a more significant emission reduction effect than final product trade. Trade’s impacts on each country are various, and the main drivers are also different. For example, the European Union avoids becoming a pollution haven mainly through the trade related to the global value chain. The suppressed emissions under this trade pattern are 71.8 Mt CO2, 2.2 Mt SO2, 2.2 Mt NOx. India avoids most pollutants emissions through intermediate product trade. China has become the most serious pollution haven through final product trade. The trade pattern could increase China 829.4 Mt CO2, 4.5 Mt SO2, 2.6 Mt NOx emissions in 2014.
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Chen, Hong, and Wenzhe Hu. "Determining Whether Trade Can Affect Regional Environmental Sustainability from the Perspective of Environmental Pollution." Sustainability 12, no. 5 (February 26, 2020): 1746. http://dx.doi.org/10.3390/su12051746.

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The rising level of environmental pollution in China indicates that the current pattern of economic development is unsustainable. Therefore, ensuring environmental quality places higher requirements on China’s economic development pattern from the perspective of sustainability. At the same time, the rapid growth of China’s total trade is an important driving force for China’s rapid economic development. Based on the trade and environmental quality data of China’s 30 provincial administrative divisions, this paper uses a Dynamic Spatial Durbin Model to analyze the environmental quality effects of trade—that is, the composition, technical, and scale effect. Moreover, the environmental quality effects of trade are compared and analyzed in different regions. In this paper, the wastewater discharge and sulfur dioxide discharge are selected as the indicators of environmental pollution. The results show that the scale effect of trade is significantly negative, and that the scale effect is greater than the composition effect. Trade development is conducive to reducing regional environmental pollution. The main impact of trade development on reducing environmental pollution is through economies of scale. The composition effect and technology effect are smaller than the scale effect. The increase in trade in services has helped to reduce the growth rate of pollution emissions. Therefore, expanding service trade and optimizing the trade structure will help to reduce the intensity of pollutive emissions and thereby improve the sustainability of regional economic development.
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Miao, Yucong, Huizheng Che, Xiaoye Zhang, and Shuhua Liu. "Integrated impacts of synoptic forcing and aerosol radiative effect on boundary layer and pollution in the Beijing–Tianjin–Hebei region, China." Atmospheric Chemistry and Physics 20, no. 10 (May 18, 2020): 5899–909. http://dx.doi.org/10.5194/acp-20-5899-2020.

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Abstract. Rapid urbanization and industrialization have led to deterioration of air quality in the Beijing–Tianjin–Hebei (BTH) region due to high loadings of PM2.5. Heavy aerosol pollution frequently occurs in winter, in close relation to the planetary boundary layer (PBL) meteorology. To unravel the physical processes that influence PBL structure and aerosol pollution in BTH, this study combined long-term observational data analyses, synoptic pattern classification, and meteorology–chemistry coupled simulations. During the winter of 2017 and 2018, Beijing and Tangshan often experienced heavy PM2.5 pollution simultaneously, accompanied by strong thermal inversion aloft. These concurrences of pollution in different cities were primarily regulated by the large-scale synoptic conditions. Using principal component analysis with geopotential height fields at the 850 hPa level during winter, two typical synoptic patterns associated with heavy pollution in BTH were identified. One pattern is characterized by a southeast-to-north pressure gradient across BTH, and the other is associated with high pressure in eastern China. Both synoptic types feature warmer air temperature at 1000 m a.g.l., which could suppress the development of the PBL. Under these unfavorable synoptic conditions, aerosols can modulate PBL structure through the radiative effect, which was examined using numerical simulations. The aerosol radiative effect can significantly lower the daytime boundary layer height through cooling the surface layer and heating the upper part of the PBL, leading to the deterioration of air quality. This PBL–aerosol feedback is sensitive to the aerosol vertical structure, which is more effective when the synoptic pattern can distribute more aerosols to the upper PBL.
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Yin, Zhicong, Huijun Wang, and Huopo Chen. "Understanding severe winter haze events in the North China Plain in 2014: roles of climate anomalies." Atmospheric Chemistry and Physics 17, no. 3 (February 2, 2017): 1641–51. http://dx.doi.org/10.5194/acp-17-1641-2017.

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Abstract. Atmospheric pollution has become a serious environmental and social problem in China. Over the past 30 years, the number of winter (December–February) haze days over the North China Plain (WHDNCP) was greatest in 2014. In addition to anthropogenic influence, climate anomalies also played a role. Thus, it is necessary to analyze the anomalous atmosphere circulations associated with haze pollution of this year in detail. Near the surface, the weaker East Asian winter monsoon pattern, causing southerly winds over the North China Plain, could aggravate the situation of haze. In the lower and middle troposphere, taking the anticyclone circulation over North China as an intermediate system, the positive phases of the eastern Atlantic/western Russia (EA/WR), the western Pacific (WP), and the Eurasia (EU) patterns led to a worse air pollution dispersion condition that contributed to a larger number of WHDNCP. In 2014, these three patterns could be recognized from the wind anomalies in the lower troposphere. The preceding autumn (September–November) Arctic sea ice (ASI) anomalies over the eastern Hemisphere and the warmer winter surface over Eurasia might have induced or intensified the positive EA/WR pattern in 2014. These two external forcings, together with the pre-autumn sea surface temperature anomalies in the Pacific, might have also stimulated or enhanced the positive EU-like patterns. The anomalous surface temperature in autumn 2014 was efficient in intensifying anomalous circulations such as the positive phase of the WP pattern. The opposite case of minimum WHDNCP in 2010 further supports the mechanism of how EA/WR and WP patterns and associated external factors altered the local climate conditions to impact the WHDNCP.
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Zheng, Haitao, Wenxin Huai, and Lele Huang. "RELATIONSHIP BETWEEN POLLUTION AND ECONOMIC GROWTH IN CHINA: EMPIRICAL EVIDENCE FROM 111 CITIES." Journal of Urban and Environmental Engineering 9, no. 1 (December 27, 2015): 22–31. http://dx.doi.org/10.4090/juee.2015.v9n1.022031.

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Steady economic growth and environmental protection are two contradictory goals of top priorities in China 2016–2020 Planning Project. Cities play important role in economic and environmental development. The research on cities’ economic-pollution relationship is vital to the choices in city developing patterns. This paper investigates the relationship between economic growth and environmental pollution of 111 Chinese prefectural-level cities in the period 2004–2012 and how it might influence the choice of a city's developing pattern. These 111 cities are classified to five different clusters, one of which has particular pollution-economic relationship and some of which coordinate the EKC theory. The paper suggests that city features, scale effect and composition effect are important in the distribution of cities’ developing patterns.
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Zheng, Haitao, Wenxin Huai, and Lele Huang. "RELATIONSHIP BETWEEN POLLUTION AND ECONOMIC GROWTH IN CHINA: EMPIRICAL EVIDENCE FROM 111 CITIES." Journal of Urban and Environmental Engineering 9, no. 1 (December 27, 2015): 22–31. http://dx.doi.org/10.4090/juee.2015.v9n1.22-31.

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Steady economic growth and environmental protection are two contradictory goals of top priorities in China 2016–2020 Planning Project. Cities play important role in economic and environmental development. The research on cities’ economic-pollution relationship is vital to the choices in city developing patterns. This paper investigates the relationship between economic growth and environmental pollution of 111 Chinese prefectural-level cities in the period 2004–2012 and how it might influence the choice of a city's developing pattern. These 111 cities are classified to five different clusters, one of which has particular pollution-economic relationship and some of which coordinate the EKC theory. The paper suggests that city features, scale effect and composition effect are important in the distribution of cities’ developing patterns.
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Yuan, Jinlong, Yunbin Wu, Zhifeng Shu, Lian Su, Dawei Tang, Yuanjian Yang, Jingjing Dong, Saifen Yu, Zhen Zhang, and Haiyun Xia. "Real-Time Synchronous 3-D Detection of Air Pollution and Wind Using a Solo Coherent Doppler Wind Lidar." Remote Sensing 14, no. 12 (June 11, 2022): 2809. http://dx.doi.org/10.3390/rs14122809.

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The monitoring and tracking of urban air pollution is a challenging environmental issue. The approach of synchronous 3-D detection of wind and pollution using a solo coherent Doppler wind lidar (CDWL) is developed and demonstrated. The 3-D distribution of pollutant is depicted by the backscatter coefficient based on signal intensity of CDWL. Then, a high-resolution wind field is derived to track the local air pollution source with its diffusion and to analyze transboundary air pollution episodes. The approach is experimentally implemented in a chemical industry park. Smoke plumes caused by point source pollutions are captured well using plan position indicator (PPI) scanning with low elevation. A typical source of pollution is located, combining the trajectory of the smoke plume and the horizontal wind vector. In addition, transboundary air pollution caused by the transport of dust storms is detected in a vertical profile scanning pattern, which is consistent with the results of national monitoring stations and backward trajectory models. Our present work provides a significant 3-D detection approach to air pollution monitoring with its sources, paths, and heights by using a solo-CDWL system.
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Qian, Zhengmin, Hung-Mo Lin, Walter F. Stewart, Linli Kong, Fen Xu, Denjin Zhou, Zhicao Zhu, et al. "Seasonal Pattern of the Acute Mortality Effects of Air Pollution." Journal of the Air & Waste Management Association 60, no. 4 (April 2010): 481–88. http://dx.doi.org/10.3155/1047-3289.60.4.481.

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Gredilla, A., S. Fdez-Ortiz de Vallejuelo, A. de Diego, J. M. Madariaga, and J. M. Amigo. "Unsupervised pattern-recognition techniques to investigate metal pollution in estuaries." TrAC Trends in Analytical Chemistry 46 (May 2013): 59–69. http://dx.doi.org/10.1016/j.trac.2013.01.014.

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Adams, Matthew D., Nikolaos Yiannakoulias, and Pavlos S. Kanaroglou. "Air pollution exposure: An activity pattern approach for active transportation." Atmospheric Environment 140 (September 2016): 52–59. http://dx.doi.org/10.1016/j.atmosenv.2016.05.055.

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Baum, Edward J. "The use of pattern recognition to characterize air pollution regimes." Chemometrics and Intelligent Laboratory Systems 3, no. 1-2 (February 1988): 91–98. http://dx.doi.org/10.1016/0169-7439(88)80070-4.

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29

Anckar, Eva, Benneth Dennegård, Mats R. Nyborg, and Antoon Kuijpers. "Marine pollution pattern of Skagerrak and Kattegat—a geostatistical evaluation." GFF 120, no. 3 (September 1998): 285–91. http://dx.doi.org/10.1080/11035899809453220.

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Shen, Lijuan, Weiyang Hu, Tianliang Zhao, Yongqing Bai, Honglei Wang, Shaofei Kong, and Yan Zhu. "Changes in the Distribution Pattern of PM2.5 Pollution over Central China." Remote Sensing 13, no. 23 (November 30, 2021): 4855. http://dx.doi.org/10.3390/rs13234855.

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The extent of PM2.5 pollution has reduced in traditional polluted regions such as the North China Plain (NCP), Yangtze River Delta (YRD), Sichuan Basin (SB), and Pearl River Delta (PRD) over China in recent years. Despite this, the Twain-Hu Basin (THB), which covers the lower flatlands in Hubei and Hunan provinces in central China, was found to be a high PM2.5 pollution region, with annual mean PM2.5 concentrations of 41–63 μg·m−3, which is larger than the values in YRD, SB, and PRD during 2014–2019, and high aerosol optical depth values (>0.8) averaged over 2000–2019 from the MODIS products. Heavy pollution events (HPEs) are frequently observed in the THB, with HPE-averaged concentrations of PM2.5 reaching up to 183–191 μg·m−3, which exceeds their counterparts in YRD, SB, and PRD for 2014–2019, highlighting the THB as a center of heavy PM2.5 pollution in central China. During 2014–2019, approximately 65.2% of the total regional HPEs over the THB were triggered by the regional transport of PM2.5 over Central and Eastern China (CEC). This occurred in view of the co-existing HPEs in the NCP and the THB, with a lag of almost two days in the THB-PM2.5 peak, which is governed by the strong northerlies of the East Asian monsoon (EAM) over CEC. Such PM2.5 transport from upstream source regions in CEC contributes 60.3% of the surface PM2.5 pollution over the THB receptor region. Hence, a key PM2.5 receptor of the THB in regional pollutant transport alters the distribution patterns of PM2.5 pollution over China, which is attributable to the climate change of EAMs. This study indicates a complex relationship between sources and receptors of atmospheric aerosols for air quality applications.
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Wu, Yizheng, and Guohua Song. "The Impact of Activity-Based Mobility Pattern on Assessing Fine-Grained Traffic-Induced Air Pollution Exposure." International Journal of Environmental Research and Public Health 16, no. 18 (September 7, 2019): 3291. http://dx.doi.org/10.3390/ijerph16183291.

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Quantifying the air pollution and health impacts of transportation plans provides decision makers with valuable information that can help to target interventions. However, a large number of environmental epidemiological research assumes exposures of static populations at residential locations and does not consider the human activity patterns, which may lead to significant estimation errors. This study uses an integrated modeling framework to predict fine-grained air pollution exposures occurring throughout residents’ activity spaces. We evaluate concentrations of fine particulate matter (PM2.5) under a regional transportation plan for Sacramento, California, using activity-based travel demand model outputs, vehicle emission, and air dispersion models. We use predicted air pollution exposures at the traffic analysis zone (TAZ) level to estimate residents’ exposure accounting for their movements throughout the day to assess the impact of activity-based mobility pattern on air pollution exposure. Results of PM2.5 exposures estimated statically (at residential locations) versus dynamically (over residents’ activity-based mobility) demonstrates that the two methods yield statistically significant different results (p < 0.05). In addition, the comparison conducted in different age groups shows that the difference between these two approaches is greater among youth and working age residents, whereas seniors show a similar pattern using both approaches due to their lower rates of travel activity.
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Sojka, Mariusz, and Joanna Jaskuła. "Heavy Metals in River Sediments: Contamination, Toxicity, and Source Identification—A Case Study from Poland." International Journal of Environmental Research and Public Health 19, no. 17 (August 23, 2022): 10502. http://dx.doi.org/10.3390/ijerph191710502.

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This study investigated the spatial distribution, contamination, potential ecological risks and quantities of pollutant sources of six heavy metals (HMs) in sediments of 47 rivers. The catchments of the investigated rivers are situated in Poland, but some of them are located in Slovakia, the Czech Republic, and Germany. Cluster analysis was applied to analyze the spatial distribution of Cd, Cr, Cu, Ni, Pb, and Zn in river sediments. Moran I and Getis-Ord Gi* statistics were calculated to reveal the distribution pattern and hotspot values. Principal component analysis (PCA) and positive matrix factorization (PMF) were used to identify pollution sources. Furthermore, geochemical indices and sediment quality guidelines allowed us to assess sediment contamination and potential toxic effects on aquatic biota. The results showed that in 1/3rd of the rivers, the HM pattern and concentrations indicate sediment contamination. The EF, PLI, and MPI indices indicate that concentrations were at a rather low level in 2/3rd of the analyzed rivers. Only in individual rivers may the HMs have toxic effects on aquatic biota. Spatial autocorrelation analysis using the Moran I statistic revealed a random and dispersed pattern of HMs in river sediments. PCA analysis identified two sources of HMs’ delivery to the aquatic environment. Cr, Cu, Ni, Pb, and Zn originate from point and non-point sources, while Cd concentrations have a dominant natural origin. The PMF identified three sources of pollution. Among them, urban pollution sources are responsible for Cu delivery, agricultural pollution for Zn, and industrial pollution for Ni and Cr. Moreover, the analysis showed no relationship between catchment land-use patterns and HM content in river sediments.
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Zong, Min, Yuanman Hu, Miao Liu, Chunlin Li, Cong Wang, and Xiaoying Ping. "Effects of Landscape Pattern Change on Water Yield and Nonpoint Source Pollution in the Hun-Taizi River Watershed, China." International Journal of Environmental Research and Public Health 17, no. 9 (April 28, 2020): 3060. http://dx.doi.org/10.3390/ijerph17093060.

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Understanding the influence of landscape pattern changes on water yield (WYLD) and nutrient yield is a key topic for water resource management and nonpoint source (NPS) pollution reduction. The annual WYLD and NPS pollution were estimated in 2004 and 2015 with the calibrated and validated Soil and Water Assessment Tool (SWAT) in the Hun-Taizi River watershed. The impact of land use and landscape pattern changes on the annual WYLD and NPS loading changes were analyzed with a boosted regression tree (BRT) and redundancy analysis (RDA). The results showed that WYLD had a positive correlation with dry farmland and built-up area; however, a negative correlation with paddy field and water area, with the relative contribution of 42.03%, 23.79%, 17.06%, and 13.55%, respectively. The change in nutrient yield was positively correlated with changes in dry farmland, built-up area, and water area but negatively with forestland, according to the BRT model. Landscape patterns had an important influence on WYLD and NPS pollution. A large unfragmented forestland may improve water quality, while a large concentrated dry farmland results in water quality deterioration due to NPS pollution. Water quality is more likely degraded when land uses are complex and scattered with many small patches in a forestland dominated watershed.
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Yoon, Sang Won. "Is Current Trade Pattern between the Developed and Developing Countries Environmentally Sustainable?" International Journal of Economics and Finance 8, no. 5 (April 25, 2016): 138. http://dx.doi.org/10.5539/ijef.v8n5p138.

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This study examines global environmental sustainability in an open economy with international trade by studying the pattern of trade between the developed country and the developing country. Assuming that both economies are productive enough to grow and regulate pollution emissions optimally over time via emission tax, it is found that the developing country is bound to specialize in producing the pollution-intensive goods in a growing economy as long as there exists a sufficiently great technology gap in the production of environmentally friendly goods between the developed country and the developing country. The conclusion holds even if the marginal valuation of environmental improvement increases rapidly in the developing country. The developing country needs to export pollution-intensive goods where it has a comparative advantage in producing to finance imports of environmentally friendly goods that it values more over time. It is suggested that global cooperation for technological development to reduce pollution in the dirty manufacturing industry is needed to prevent ever-worsening environmental degradation in developing countries.
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Xu, Ziyi, Zhixin Liu, Jiawei Tian, Yan Liu, Hongling Pan, Shan Liu, Bo Yang, Lirong Yin, and Wenfeng Zheng. "Classification of Urban Pollution Levels Based on Clustering and Spatial Statistics." Atmosphere 13, no. 3 (March 19, 2022): 494. http://dx.doi.org/10.3390/atmos13030494.

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In recent years, the occurrence and frequency of haze are constantly increasing, severely threatening people’s daily lives and health and bringing enormous losses to the economy. To this end, we used cluster analysis and spatial autocorrelation methods to discuss the spatial and temporal distribution characteristics of severe haze in China and to classify regions of China. Furthermore, we analyzed the interaction between haze pollution and the influence of economy and energy structure in 31 provinces in China, providing references for the prevention and treatment of haze pollution. The processed data mainly include API, meteorological station data, and PM 2.5 concentration distribution vector graph. The results show the yearly haze pattern from 2008 to 2012, and present a strong pattern of pollution concentrated around Beijing–Tianjin, the Yangtze River Delta, southwest China, and central China. The overall spatial pattern of decreasing from north to south is relatively constant over the study period.
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36

Hsu, Frances, and Ajanae Bennett. "The Effects of Roadside Buildings Roof Shapes and Tree Plantings on the Vehicle Exhaust Gas Pollution Dispersion in the Urban Street." Journal of Physics: Conference Series 2441, no. 1 (March 1, 2023): 012010. http://dx.doi.org/10.1088/1742-6596/2441/1/012010.

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Abstract In this study, the effects of roadside building roof shapes and roadside tree plantings on the dispersion of vehicle exhaust gas pollution in the urban street have been carefully explored. Three typical roof shapes, i.e., flat, triangle and round shapes, are considered in the present work. Firstly, the numerical simulations of air pollution transport in the atmospheric turbulent boundary layer with/without the vegetation canopy have been performed using Computational Fluid Dynamics (CFD). Secondly, the mean flow patterns and the distribution of turbulent kinetic energy (TKE) are then examined. Finally, the concentrations of the air pollution have been carefully explored. It is found that the triangle roof could result in a lower concentration of air pollution in the street canyon. The existence of the roadside trees could decrease the air pollution concentration, although its influence is much weaker than the roof shape. It is also found that the concentration of air pollution is quite related to the flow pattern and TKE distribution. This study could provide helpful guidance on the urban planners on the design of the urban street in the future.
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37

Milton, Abul Hasnat, and Mahfuzar Rahman. "Environmental Pollution and Skin Involvement Pattern of Chronic Arsenicosis in Bangladesh." Journal of Occupational Health 41, no. 4 (October 1999): 207–8. http://dx.doi.org/10.1539/joh.41.207.

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38

Gong, Cheng, and Hong Liao. "A typical weather pattern for ozone pollution events in North China." Atmospheric Chemistry and Physics 19, no. 22 (November 14, 2019): 13725–40. http://dx.doi.org/10.5194/acp-19-13725-2019.

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Abstract. Ground-level observations, reanalyzed meteorological fields and a 3-D global chemical and transport model (GEOS-Chem) were applied in this study to investigate ozone (O3) pollution events (OPEs) in North China (36.5–40.5∘ N, 114.5–119.5∘ E) during 2014–2017. Ozone pollution days (OPDs) were defined as days with maximum daily averaged 8 h (MDA8) concentrations over North China larger than 160 µg m−3, and OPEs were defined as periods with 3 or more consecutive OPDs. Observations showed that there were 167 OPDs and 27 OPEs in North China during 2014–2017, in which 123 OPDs and 21 OPEs occurred from May to July. We found that OPEs in North China occurred under a typical weather pattern with high daily maximum temperature (Tmax), low relative humidity (RH), anomalous southerlies and divergence in the lower troposphere, an anomalous high-pressure system at 500 hPa, and an anomalous downward air flow from 500 hPa to the surface. Under such a weather pattern, chemical production of O3 was high between 800 and 900 hPa, which was then transported downward to enhance O3 pollution at the surface. A standardized index I_OPE was defined by applying four key meteorological parameters, including Tmax, RH, meridional winds at 850 hPa (V850) and zonal winds at 500 hPa (U500). I_OPE can capture approximately 80 % of the observed OPDs and OPEs, which has implications for forecasting OPEs in North China.
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39

Suciu, Ioan, Constantin Cosma, Mihai Todică, Sorana Bolboacă, and Lorentz Jäntschi. "Analysis of Soil Heavy Metal Pollution and Pattern in Central Transylvania." International Journal of Molecular Sciences 9, no. 4 (April 2, 2008): 434–53. http://dx.doi.org/10.3390/ijms9040434.

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40

Roelofs, Geert Jan H., Frans W. Pijpers, and Gfred A. P. E. Jakobs. "Description of air pollution by means of pattern recognition. Part 2." Analyst 111, no. 9 (1986): 1077. http://dx.doi.org/10.1039/an9861101077.

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41

Liu, Fengjie, and Wen-Xiong Wang. "Proteome pattern in oysters as a diagnostic tool for metal pollution." Journal of Hazardous Materials 239-240 (November 2012): 241–48. http://dx.doi.org/10.1016/j.jhazmat.2012.08.069.

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42

CHANG, SEOK HO, and SOONHUI LEE. "STATISTICALLY UPDATING PATTERN CHANGE OF NITROGEN DIOXIDE (NO2 ) POLLUTION IN SEOUL." Pollution Research 41, no. 04 (2022): 1157–63. http://dx.doi.org/10.53550/pr.2022.v41i04.003.

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Our previous study (Chang and Lee, 2022) presented observations on the recent changes in nitrogen dioxide (NO2 ) pollution of Seoul after the COVID-19 pandemic. This paper derives updated results by incorporating recent data, specifically data for the second half of 2021. In addition to confirming the extended results of the existing study (Chang and Lee, 2022), we derived more specific interpretations of the results. The results were as follows: (i) The average monthly NO2 concentration in Seoul has decreased significantly in 2020 compared to that before the COVID-19 pandemic; and (ii) the average difference in the monthly concentration of NO2 in Seoul between January 2021 to December 2021 period and that from January 2020 to December 2020 is not statistically significant. We also found the results originating partly from lifted restrictions on public transportation and non-road vehicles, and partly from resumption of suspended nonindustrial combustion plants in Seoul after the first half of 2020, complementing our previous findings in Chang and Lee (2022). Our study shows statistically comprehensive results compared to the studies that limit their discussions to average values, as that presented in a report by the Ministry of Environment, Republic of Korea.
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43

Han, Fei, and Junming Li. "Spatial Pattern and Spillover of Abatement Effect of Chinese Environmental Protection Tax Law on PM2.5 Pollution." International Journal of Environmental Research and Public Health 19, no. 3 (January 27, 2022): 1440. http://dx.doi.org/10.3390/ijerph19031440.

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Particulate matter (PM2.5) pollution is a threat to public health, and environmental taxation is an important regulatory mode controlling PM2.5 pollution. In 2018, China implemented the Environmental Protection Tax Law (EPTL) targeting PM2.5 pollution. Based on in-situ monitoring and emission inventory data, a Bayesian hierarchical spatiotemporal model combining a two-period trends difference method was employed to measure the abatement effects of China’s EPTL on PM2.5 pollution (AEEPTLPM). On this basis, a spatial spillover index (SSI) of the AEEPTLPM is proposed. Applying this index, we calculated the spatial spillover characteristics of the AEEPTLPM in mainland China at a provincial scale in 2018–2019. The results show that the EPTL has had significant abatement effects on both in-situ-monitored PM2.5 concentrations and local total industrial PM2.5 emissions. Additionally, the two types of AEEPTLPM display distinct spatial heterogeneity. A correlation between the AEEPTLPM and the degree of PM2.5 pollution was observed; areas with serious PM2.5 pollution have higher AEEPTLPM levels, and vice versa. The SSI indicates that the AEEPTLPM exhibits significant spatial spillover characteristics, and spatial heterogeneity is also present.
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44

Uzan, Leenes, and Pinhas Alpert. "The Coastal Boundary Layer and Air Pollution - A High Temporal Resolution Analysis in the East Mediterranean Coast." Open Atmospheric Science Journal 6, no. 1 (January 19, 2012): 9–18. http://dx.doi.org/10.2174/1874282301206010009.

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The East Mediterranean (EM) coast is characterized by warm sea temperatures and a nearly linear coastline. Both parameters influence the sea breeze front and the atmospheric conditions most relevant to air pollution dispersion. Here, the high resolution boundary-layer diurnal variation is highlighted leading to a distinct pattern of spatial-temporal air pollution dispersion, for over 25 years, from Israel's largest coal-fired power plant. Over 4,000 air pollution events were segregated by semi-objective synoptic systems and 7 years of boundary layer profiles carried out by acoustic radar. Results clarify why the highest air pollution events occur during summer at 12:00- 15:00 h through the average coincident drop of the boundary layer height down to 450 m above the ground. Here, the interaction between the synoptics and the sea-breezes is shown to play a significant role in the specific air pollution pattern.
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45

Shu, Lei, Min Xie, Da Gao, Tijian Wang, Dexian Fang, Qian Liu, Anning Huang, and Liwen Peng. "Regional severe particle pollution and its association with synoptic weather patterns in the Yangtze River Delta region, China." Atmospheric Chemistry and Physics 17, no. 21 (November 1, 2017): 12871–91. http://dx.doi.org/10.5194/acp-17-12871-2017.

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Abstract. Regional air pollution is significantly associated with dominant weather systems. In this study, the relationship between the particle pollution over the Yangtze River Delta (YRD) region and weather patterns is investigated. First, the pollution characteristics of particles in the YRD are studied using in situ monitoring data (PM2.5 and PM10) in 16 cities and Terra/MODIS AOD (aerosol optical depth) products collected from December 2013 to November 2014. The results show that the regional mean value of AOD is high in the YRD, with an annual mean value of 0.71±0.57. The annual mean particle concentrations in the cities of Jiangsu Province all exceed the national air quality standard. The pollution level is higher in inland areas, and the highest concentrations of PM2.5 and PM10 are 79 and 130 µg m−3, respectively, in Nanjing. The PM2.5 : PM10 ratios are typically high, thus indicating that PM2.5 is the overwhelmingly dominant particle pollutant in the YRD. The wintertime peak of particle concentrations is tightly linked to the increased emissions during the heating season as well as adverse meteorological conditions. Second, based on NCEP (National Center for Environmental Prediction) reanalysis data, synoptic weather classification is conducted and five typical synoptic patterns are objectively identified. Finally, the synthetic analysis of meteorological fields and backward trajectories are applied to further clarify how these patterns impact particle concentrations. It is demonstrated that air pollution is more or less influenced by high-pressure systems. The relative position of the YRD to the anti-cyclonic circulation exerts significant effects on the air quality of the YRD. The YRD is largely influenced by polluted air masses from the northern and the southern inland areas when it is located at the rear of the East Asian major trough. The significant downward motion of air masses results in stable weather conditions, thereby hindering the diffusion of air pollutants. Thus, this pattern is quite favorable for the accumulation of pollutants in the YRD, resulting in higher regional mean PM10 (116.5 ± 66.9 µg m−3), PM2.5 (75.9 ± 49.9 µg m−3), and AOD (0.74) values. Moreover, this pattern is also responsible for the occurrence of most large-scale regional PM2.5 (70.4 %) and PM10 (78.3 %) pollution episodes. High wind speed and clean marine air masses may also play important roles in the mitigation of pollution in the YRD. Especially when the clean marine air masses account for a large proportion of all trajectories (i.e., when the YRD is affected by the cyclonic system or oceanic circulation), the air in the YRD has a lesser chance of being polluted. The observed correlation between weather patterns and particle pollution can provide valuable insight into making decisions about pollution control and mitigation strategies.
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Yuan, Yan Hua, Jian Gang Xu, Yi Qi, and Jun Ting Chen. "Research on Architectural Pattern of Residential Quarter Based on Atmospheric Pollutant Diffusion of Point Source." Advanced Materials Research 689 (May 2013): 533–39. http://dx.doi.org/10.4028/www.scientific.net/amr.689.533.

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In the process of rapid urbanization, many pollution problems arise in developing cities. In particular, industrial point source air pollution is one of the main causes that detract from urban development and destroy ecological harmony. Gas pollution directly affects people's physical health when a source of industrial emissions is close to residential areas. In the planning and design of sustainable architecture, it becomes increasingly important to avoid industrial atmospheric diffusion pollution in the broadest sense through studying the layout of urban residential architecture group. This paper establishes the database of atmospheric pollution diffusion based on the ArcGIS platform. Through simulating the spatial distribution state of the atmospheric point source pollution concentration in Nanjing Chemical Industrial Park, the spatial information of urban atmospheric environmental quality can be provided for the layout and planning of the neighboring residential quarter. Combining with CFD wind field simulation of different architectural layouts, this paper studies the adaptive layout of residential architecture on surrounding environment. The results show that the pollutants’ concentration in summer is slightly lower than in winter; the pollutant concentration of determinantal layout is lower than the oblique column type and alternate layout in Shanpan Community. It explores the relationships among urban residential architecture, people and natural environment, and the results are very important in conducting the pattern planning and design of urban architecture, improvement of living environmental quality and energy conservation and environmental protection.
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47

Su, Shih-Hao, Chiao-Wei Chang, and Wei-Ting Chen. "The Temporal Evolution of PM2.5 Pollution Events in Taiwan: Clustering and the Association with Synoptic Weather." Atmosphere 11, no. 11 (November 23, 2020): 1265. http://dx.doi.org/10.3390/atmos11111265.

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This study conducted a cluster analysis on the fine particulate matter (PM2.5) data over Taiwan from 2006 to 2015 and diagnosed their association with the synoptic weather patterns. Five clusters are identified via a hierarchical clustering algorithm; three of them correspond to severe events, each with a distinct pattern of temporal evolution within the 240-h window. The occurrence of the different clusters exhibits strong seasonal variation. Two of the polluted clusters are more frequently associated with weak synoptic weather, while the other one is related to northeasterly winds and fronts. Detailed case studies show that the weather patterns’ temporal evolutions clearly modulate the transition among various pollution clusters by influencing the changes in local circulation and atmospheric stability. In winter, the clusters characterizing severe PM2.5 pollution events occur when Taiwan is influenced by persistent weak synoptic condition, while in autumn, the long-range transport by strong northerly winds leads to the occurrence of severe PM2.5 pollution. The current results shed light on the potential of combining the data-driven approach and the numerical weather forecasting model to provide extended range forecasts of local air pollution forecasts.
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48

Ghosh, B., S. Nayek, and P. K. Padhy. "Effects of Nationwide Lockdown due to COVID-19 on Ambient Air Quality in the State of West Bengal, India." Journal of Scientific Research 15, no. 1 (January 1, 2023): 183–200. http://dx.doi.org/10.3329/jsr.v15i1.59249.

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The present study assessed the nationwide lockdown impacts on the air pollution situation across West Bengal, India. Air pollution data was collected from the online monitoring stations of the Central Pollution Control Board across West Bengal. The gradual declining pattern of overall pollution status was observed during the lockdown phase from the pre-lockdown phase. The early unlocking stage found slow and gradual increasing air pollution levels. Siliguri’s pre-lockdown ‘poor’ Air Quality Index (AQI) improved in the lockdown phase to ‘satisfactory’ level. ‘Moderate’ level AQI in Asansol of the pre-lockdown stage improved to ‘satisfactory’ level during the lockdown phase. Pre-lockdown AQI of both Kolkata and Howrah changed from ‘moderate’ to ‘good’ level during the lockdown phase. Unlike other pollutants, the ozone level increased in Kolkata, Howrah, and Siliguri in the lockdown phase. The early monsoonal washout possibly caused the changes in the pattern of pollution status of specified periods in the 2019 and 2020. Thus, in the study period of lockdown in 2020, the decrease in pollution level may not only caused by the stoppage of vehicles or industry but also have a possible natural influence.
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Ren, Saisai, Xiaoting Ji, Xiangliang Zhang, Meimei Huang, Hong Li, and Hong Wang. "Characteristics and Meteorological Effects of Ozone Pollution in Spring Season at Coastal City, Southeast China." Atmosphere 13, no. 12 (November 29, 2022): 2000. http://dx.doi.org/10.3390/atmos13122000.

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Surface ozone (O3) pollution has become one of the top environmental issues in recent years around the world and can be influenced by meteorological processes on multiple scales. Understanding the meteorological mechanism and contributions of O3 pollution is of great importance for O3 mitigation. In this study, we explored the impacts of meteorological conditions on O3 concentrations in a coastal city in Southeast China, with a particular focus on O3 pollution episodes inspringtime. A significant increase in the O3 pollution ratefrom 2015 to 2020 was observed (41.7% year−1) and the seasonal characteristics of O3 concentrations showed a two-peak pattern. We selected 12 pollution episodes during the springtime of 2015 to 2020 and identified four dominant synoptic weather patterns (SWPs) that could cause O3 pollution. The local meteorological conditions and vertical dynamic structures under different SWPs were analyzed. The results showed that high O3 levels tend to be associated with high temperature, weak wind, low relative humidity, and deep vertical sinking motion. We also established a quantitative linkage between the O3 values and meteorological factors. Based on meteorological conditions, 60.8~80.8% of the variation in O3 can be explained.
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Thakur, Palak, and Sharif Qamar. "Impact of Odd–Even Scheme on Travel Pattern in Delhi." Journal of Resources, Energy and Development 17, no. 1 (March 27, 2021): 27–38. http://dx.doi.org/10.3233/red-170103.

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The paper intends to assess the impact of the odd–even scheme on the travel pattern of the daily commuters in Delhi. The objective of the paper is to assess the impact of the odd–even scheme on mode choice for daily work trips, shift in travel patterns – before, during, and post-implementation – of the odd–even scheme, and to understand people perception regarding the odd–even scheme. Based on the primary survey, the paper concludes that the odd–even scheme brought a significant impact in the travel pattern in terms of occupancy, travel cost, travel time, and modal shift, and statistically not so much on the air quality gain. It was observed that the scheme helped increase the occupancy rate in cars as well as ridership of buses and Delhi metro. The scheme had a huge impact on congestion, which was evident from both perception analysis and the change in travel time. The modal shift, with an improvement in public transport services and a reduction in car users, is one of the key successes of the scheme resulting in decrease in air pollution caused by private vehicles. To improve the outcome of the odd–even scheme on air pollution, two-wheelers should not be exempted going forward.
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