Bibliographies thématiques / Emissions monitoring

Littérature scientifique sur le sujet « Emissions monitoring »

Auteur : Grafiati
Publié le 10 mars 2023

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Articles de revues sur le sujet "Emissions monitoring"

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Liu, Michelle J., Karren N. Izquierdo et Dennis S. Prince. « Intelligent monitoring of fugitive emissions – comparison of continuous monitoring with intelligent analytics to other emissions monitoring technologies ». APPEA Journal 62, no 1 (13 mai 2022) : 56–65. http://dx.doi.org/10.1071/aj21116.

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Studies have shown that fugitive emissions are dominated by a small number of sources with extremely high emission rates, known as super-emitters. These super-emitters present an opportunity to significantly reduce emissions in a cost-effective manner if they are managed effectively. This requires the ability to detect, locate, and accurately measure emissions. However, the uncertain nature of fugitive emissions presents challenges to monitoring. Existing and emerging technologies enable emissions management with varying levels of success. This paper provides a practical comparison of several fugitive emissions monitoring technologies, including handheld gas detectors, optical gas imaging cameras, vehicle-based systems, satellites, aircraft, and unmanned aerial vehicles. These technologies provide periodic monitoring of a facility and are compared to continuous monitoring technologies that monitor emissions on a 24/7 basis using fixed sensors and advanced analytics to identify and track emission plumes. Continuous monitoring with intelligent analytics has demonstrated great potential in overcoming the challenges of monitoring fugitive emissions to reduce greenhouse gases and other problematic emissions. Features, capabilities, and limitations of these technologies are explored in the context of gas facilities, including their ability to detect intermittent sources, identify unsuspected and off-site sources, and quantify emissions. The range of monitoring for each technology and safety concerns associated with their use are discussed.
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Králik, M., J. Jablonický, Z. Tkáč, Ľ. Hujo, D. Uhrinová, J. Kosiba, J. Tulik et R. Záhorská. « Monitoring of selected emissions of internal combustion engine ». Research in Agricultural Engineering 62, Special Issue (30 décembre 2016) : S66—S70. http://dx.doi.org/10.17221/72/2015-rae.

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The paper deals with the possibility of appropriate measurement and evaluation of emissions of nitrogen oxides. Development of exhaust systems which captures the solid particles emitted from engine, lost an objective assessment of the emission status of the diesel engine of agricultural tractor. Therefore, it is necessary to find a new method of measuring and quantifying the emission state of the diesel engine by measuring emissions, which should be economic and time-saving, but especially universal and sufficiently precise. The selected method should also provide sufficient information on such emissions that are subject to approval but they are not controlled during periodic checks.
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Figliuolo Brandão, Rozilda. « Monitoring of Fugitive Emissions in Petrochemical Plant ». Water Science and Technology 29, no 8 (1 avril 1994) : 125–33. http://dx.doi.org/10.2166/wst.1994.0395.

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The U.S. Environmental Protection Agency (EPA) estimates that a third of the emissions into the atmosphere in some industrial plants is due to Fugitive Emissions. It defines Fugitive Emissions as the diffuse release of volatile organic compounds (VOC) or hydrocarbons into the atmosphere, through pumps, valves, connections, open-ended lines, compressors, etc., establishing emission patterns and monitoring frequency. COPENE Petroquimica do Nordeste S/A has been implanting a program of fugitive emissions adapted to the reality, trying to promote a continuous improvement in its employees' working conditions and in environmental protection. This paper presents the methodology for the elaboration of this program and the conclusions of some surveys which were already completed.
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Gao, Yu, et Hong Bo Pan. « Discussion on Fugitive Emission Monitoring of Air Pollutants ». Advanced Materials Research 807-809 (septembre 2013) : 88–91. http://dx.doi.org/10.4028/www.scientific.net/amr.807-809.88.

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Construction project completion and acceptance of environmental protection, fugitive emissions of air pollutants monitoring sites based on the Integrated emission Standard of air pollutants (GB16297-1996) and Technical guidelines for fugitive emission monitoring of air pollutants and the relevant technical documents. The main source of fugitive emissions was production equipment obsolete, unreasonable design, operational errors, improper command and poor management. Existing problems: too theoretical, poor operability, from monitoring sites to point measured project location far, representative is not strong. Recommendations that distribution specification,always pay attention to fugitive emissions sampling,scientific and rational way to find the maximum concentration, Monitoring points arrangement as far as possible with less points to achieve better representative monitoring data .
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Sebos, Ioannis, et Leonidas Kallinikos. « NMVOC Emissions from Solvents Use in Greece : Monitoring and Assessment ». Atmosphere 14, no 1 (23 décembre 2022) : 24. http://dx.doi.org/10.3390/atmos14010024.

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The use of solvents and other volatile organic chemicals is a significant source of Non-Methane Volatile Organic Compounds (NMVOCs) emissions. Due to the wide spectrum of applications of solvents and numerous locations where these occur, the estimation of NMVOCs emissions can be challenging. The aim of this paper is to present the methodological framework used in Greece for the estimation of NMVOCs emissions. It covers processes and products that use solvents and other volatile organic chemicals in several industries, as well as in households. The framework is based both on existing methods found in the literature and on new emission factors developed in order to reflect the mitigation potential of EU Directives and national legislation aiming at the reduction of NMVOCs emissions. The developed framework was used to forecast future NMVOCs emissions and assess the implemented mitigation actions. Results were verified by comparison with solvent emission estimates from the European Solvent Industry Group.
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El-Safoury, Mahmoud, Miguel Dufner, Christian Weber, Katrin Schmitt, Hans-Fridtjof Pernau, Bert Willing et Jürgen Wöllenstein. « Resonant Photoacoustic Gas Monitoring of Combustion Emissions ». Proceedings 2, no 13 (30 novembre 2018) : 962. http://dx.doi.org/10.3390/proceedings2130962.

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Since the entrance into the industrial era and the increasing demand for energy due to global economic growth and development, the amount of energy-related emissions have continuously grown every year to significantly high levels. Greenhouse gases like carbon dioxide, nitrous oxide or methane cause an increase in the earth’s temperature. Toxic gases like nitrous oxides, Sulphur dioxide and carbon monoxide are extremely detrimental to the health of all living beings. Over the past few years, global organizations are imposing tighter limits by international laws for flue-gas emissions from fossil-fuel combustion. Emission-limiting techniques like filter and scrubber systems have to be installed for waste gas treatment in the exhaust gas streams. In addition, exhaust gas measuring technologies detect the actual emission values of the respective target gases. We present the development of a low-cost and highly sensitive photoacoustic gas detector for the monitoring of emitted combustion gases. First tests were carried out with the toxic Sulphur dioxide (SO2) in secure lab conditions, where a sensitivity below 1 part per million (ppm) was achieved during continuous flow of the gas.
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Pennock, D. J., T. T. Yates et J. T. Braidek. « Towards optimum sampling for regional-scale N2O emission monitoring in Canada ». Canadian Journal of Soil Science 86, no 3 (1 mai 2006) : 441–50. http://dx.doi.org/10.4141/s05-104.

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There is an increasing need for field monitoring studies of N2O emissions to assess the reliability of process models. Our goal is to review the issues surrounding the design of monitoring and regional upscaling of fieldmeasured N2O emissions for Canadian conditions. Management history creates a range of controlling conditions and emission responses for each land use present in the study region and multiple fields should be sampled within each land use class. The requirement for multiple sample fields necessitates chamber-based sampling designs (ideally in conjunction with site-specific micrometeorological measurements). Uniformly minimum variance unbiased (UMVU) estimators have been recommended for estimation of the mean and variance of the sample distributions, but use of these estimators is limited where zero or negative values occur. Three basic annual emission patterns are observed across a range of N2O studies: background, seasonal, and event + seasonal. The event + seasonal pattern (where short duration, high emission events are superimposed on an underlying seasonal pattern) is common in Canadian agroecosystems. Background and seasonal annual patterns can be effectively captured with biweekly or even triweekly samplings. For the event + seasonal patterns more frequent samplings at periods when emission are believed to be higher (e.g., snow melt or post-fertilization events) are required. Linear interpolation of emissions between the sporadic measurements is the simplest and most reproducible method of temporal interpolation. Spatial extrapolation of the measured emissions is typically done by a measure and multiply approach, where the measured emissions for a given class are multiplied by the area of the class. The methods used to define the soil wetness, land use, and management classes should be clearly defined and consistently applied. The lack of information on the duration and magnitude of event-based emissions and the diurnal pattern of emissions is a major limitation to temporal interpolation. Key words: Greenhouse gas, upscaling, geographical information systems, landscape
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Zhou, Fan, Jing Liu, Hang Zhu, Xiaodong Yang et Yunli Fan. « A Real-Time Measurement-Modeling System for Ship Air Pollution Emission Factors ». Journal of Marine Science and Engineering 10, no 6 (31 mai 2022) : 760. http://dx.doi.org/10.3390/jmse10060760.

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The lack of techniques for monitoring ship emissions all day and in all weather conditions to obtain real-time emission factor values is the main problem in understanding the characteristics of ship emissions, and there is still no perfect solution. In this study, a real-time measurement-modeling system was designed and implemented. The system was divided into three parts: (1) a portable exhaust monitoring device, which could be mounted on a drone, aircraft, patrol boat, dock, and bridge crane, as well as on the shore, to conduct all-weather and real-time online monitoring of ship emissions; (2) a monitoring information platform for ship emissions, based on a Spring + Spring MVC + MyBatis (SSM) framework and Vue front-end technology; and (3) a cloud server that received real-time ship emission measurement data and stored it after verification and analysis to calculate the pollutant gas and particulate matter emission factors. Following development, this system was used to monitor the emissions of ocean-going and inland river ships. Analysis of the acquired data showed that the system could effectively measure the emission factors of ship exhausts full-time in a variety of weather scenarios. This system can improve the efficiency of maritime law enforcement and provide technical support for promoting the construction of ship emission control areas. It can also help researchers obtain ship emission data, as well as an improved understanding of the emission characteristics of ships.
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Liu, Fei, Bryan N. Duncan, Nickolay A. Krotkov, Lok N. Lamsal, Steffen Beirle, Debora Griffin, Chris A. McLinden, Daniel L. Goldberg et Zifeng Lu. « A methodology to constrain carbon dioxide emissions from coal-fired power plants using satellite observations of co-emitted nitrogen dioxide ». Atmospheric Chemistry and Physics 20, no 1 (3 janvier 2020) : 99–116. http://dx.doi.org/10.5194/acp-20-99-2020.

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Abstract. We present a method to infer CO2 emissions from individual power plants based on satellite observations of co-emitted nitrogen dioxide (NO2), which could serve as complementary verification of bottom-up inventories or be used to supplement these inventories. We demonstrate its utility on eight large and isolated US power plants, where accurate stack emission estimates of both gases are available for comparison. In the first step of our methodology, we infer nitrogen oxides (NOx) emissions from US power plants using Ozone Monitoring Instrument (OMI) NO2 tropospheric vertical column densities (VCDs) averaged over the ozone season (May–September) and a “top-down” approach that we previously developed. Second, we determine the relationship between NOx and CO2 emissions based on the direct stack emissions measurements reported by continuous emissions monitoring system (CEMS) programs, accounting for coal quality, boiler firing technology, NOx emission control device type, and any change in operating conditions. Third, we estimate CO2 emissions for power plants using the OMI-estimated NOx emissions and the CEMS NOx∕CO2 emission ratio. We find that the CO2 emissions estimated by our satellite-based method during 2005–2017 are in reasonable agreement with the US CEMS measurements, with a relative difference of 8 %±41 % (mean ± standard deviation). The broader implication of our methodology is that it has the potential to provide an additional constraint on CO2 emissions from power plants in regions of the world without reliable emissions accounting. We explore the feasibility by comparing the derived NOx∕CO2 emission ratios for the US with those from a bottom-up emission inventory for other countries and applying our methodology to a power plant in South Africa, where the satellite-based emission estimates show reasonable consistency with other independent estimates. Though our analysis is limited to a few power plants, we expect to be able to apply our method to more US (and world) power plants when multi-year data records become available from new OMI-like sensors with improved capabilities, such as the TROPOspheric Monitoring Instrument (TROPOMI), and upcoming geostationary satellites, such as the Tropospheric Emissions: Monitoring Pollution (TEMPO) instrument.
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Han, Xin, Xiangxian Li, Minguang Gao, Jingjing Tong, Xiuli Wei, Sheng Li, Shubin Ye et Yan Li. « Emissions of Airport Monitoring with Solar Occultation Flux-Fourier Transform Infrared Spectrometer ». Journal of Spectroscopy 2018 (2018) : 1–10. http://dx.doi.org/10.1155/2018/1069612.

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Both domestic and international aviation industries have experienced a boom, which results in a dramatic increase in emissions of the aviation industry in recent decades. Therefore, domestic and abroad scientists adopted different methods to measure emissions; however, there are no appropriate methods to measure the emissions of the whole airport. In order to provide data support for the relevant departments to take appropriate emission reduction measures, solar occultation flux-Fourier transform infrared spectrometer (SOF-FT-IR) is used to monitor the emissions of Beijing Capital International Airport. CO, CO2, C2H4, and CH2O are selected as the target gases and are quantitatively analyzed with the nonlinear least squares method to get the column concentration. Then, the flux can also be calculated by linking the wind velocity and direction with the column concentration. A comparison between the results measured by SOF-FT-IR and the results measured by the method published by the Intergovernmental Panel on Climate Change (IPCC) indicates that auxiliary power equipment and ground support equipment for the emission of the airport are also important emission sources besides the aircraft and the concentration distribution gives powerful and useful pieces of evidence to locate the emission sources. In order to decrease the contribution of the airport to the air pollution, the key point is to reduce the emissions of the APU and mobiles in the airport.
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Thèses sur le sujet "Emissions monitoring"

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Fan, Yibo Edward. « Condition monitoring of mechanical seals using acoustic emissions ». Thesis, University of Manchester, 2007. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.749604.

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Honegger, Ueli. « Gas turbine combustion modeling for a Parametric Emissions Monitoring System ». Thesis, Manhattan, Kan. : Kansas State University, 2007. http://hdl.handle.net/2097/371.

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Keller, Ryan A. « Studies of parametric emissions monitoring and DLN combustion NOx formation ». Thesis, Kansas State University, 2011. http://hdl.handle.net/2097/9165.

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Master of Science
Department of Mechanical and Nuclear Engineering
Kirby S. Chapman
The increased emissions monitoring requirements of industrial gas turbines have created a demand for less expensive emissions monitoring systems. Typically, emissions monitoring is performed with a Continuous Emissions Monitoring System (CEMS), which monitors emissions by direct sampling of the exhaust gas. An alternative to a CEMS is a system which predicts emissions using easily measured operating parameters. This system is referred to as a Parametric Emissions Monitoring System (PEMS). A review of the literature indicates there is no globally applicable PEMS. Because of this, a PEMS that is applicable to a variety of gas turbine manufacturers and models is desired. The research presented herein includes a literature review of NOx reduction techniques, NOx production mechanisms, current PEMS research, and combustor modeling. Based on this preliminary research, a combustor model based on first-engineering principles was developed to describe the NOx formation process and relate NOx emissions to combustion turbine operating parameters. A review of available literature indicates that lean-premixed combustion is the most widely-used NOx reduction design strategy, so the model is based on this type of combustion system. A review of the NOx formation processes revealed four well-recognized NOx formation mechanisms: the Zeldovich, prompt, nitrous oxide, and fuel-bound nitrogen mechanisms. In lean-premixed combustion, the Zeldovich and nitrous oxide mechanisms dominate the NOx formation. This research focuses on combustion modeling including the Zeldovich mechanism for NOx formation. The combustor model is based on the Siemens SGT-200 combustion turbine and consists of a series of well-stirred reactors. Results show that the calculated NOx is on the same order of magnitude, but less than the NOx measured in field tests. These results are expected because the NOx calculation was based only on the Zeldovich mechanism, and the literature shows that significant NOx is formed through the nitrous oxide mechanism. The model also shows appropriate trends of NOx with respect to various operating parameters including equivalence ratio, ambient temperature, humidity, and atmospheric pressure. Model refinements are suggested with the ultimate goal being integration of the model into a PEMS.
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FERRE', CHIARA. « Monitoring of greenhouse gas emissions from agricultural and forest soils ». Doctoral thesis, Università degli Studi di Milano-Bicocca, 2009. http://hdl.handle.net/10281/7483.

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Global climate change is becoming a central issue in contemporary science as well as politics. There is a long-lasting debate about the cause of the climate change: anthropogenic activity versus the natural cycle. However, a scientific consensus is coming a conclusion that the contemporary climate change is mainly caused by anthropogenic emissions of the greenhouse gases (GHG), including carbon dioxide (CO2), nitrous oxide (N2O) and methane (CH4). The main objective of the thesis is the monitoring of such GHG emissions from two ecosystem types: a forest and a rice paddy ecosystem. The forest site is a EMEP experimental station, taking part of the activity of GHG-AGOLU of FP7-JRC project, while the agricultural ecosystem was included in the CarboEurope project and represents also a Level 3 site in the frame of NitroEurope project. The gas monitoring was carried out in 2008. The thesis is composed by 4 chapters, corresponding to specific objectives. The first chapter is relative to the study of the spatial variability of the main soil chemical and physical properties on the basis of which the gas monitoring points were selected. The second and the third chapters are relative to a cropland site. In particular, the second chapter includes monitoring data of CH4, N2O and CO2 fluxes from the paddy field, both during the crop growth season and the fallow period, and the validation results of the DeNitrification DeComposition (DNDC) model, a process-oriented biogeochemical model used for simulating soil gas emissions from the paddy field, are reported. The third chapter contains the study of characterization of microbial community composition using phospholipid fatty acid analysis (PLFA), at eight sampling dates representative of different soil conditions and crop stages and consequently characterized by distinct soil greenhouse emission rates. The fourth and last chapter includes the monitoring study of soil respiration in a forest site and its partitioning into autotrophic and heterotrophic components, applying the indirect linear regression method.
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Heidari, Haratmeh Bardia. « New Framework for Real-time Measurement, Monitoring, and Benchmarking of Construction Equipment Emissions ». Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/64345.

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The construction industry is one of the largest emitters of greenhouse gases and health-related pollutants. Monitoring and benchmarking emissions will provide practitioners with information to assess environmental impacts and improve the sustainability of construction. This research focuses on real-time measurement of emissions from non-road construction equipment and development of a monitoring-benchmarking tool for comparison of expected vs. actual emissions. First, exhaust emissions were measured using a Portable Emission Measurement System (PEMS) during the operation of 18 pieces of construction equipment at actual job sites. Second-by-second emission rates and emission factors for carbon dioxide, carbon monoxide, nitrogen oxides, and hydrocarbons were calculated for all equipment. Results were compared to those of other commonly used emission estimation models. Significant differences in emission factors associated with different activities were not observed, except for idling and hauling. Moreover, emission rates were up to 200 times lower than the values estimated using EPA and California Air Resources Board (CARB) guidelines. Second, the resulting database of emissions was used in an automated, real-time environmental assessment system. Based on videos of actual construction activities, this system enabled real-time action recognition of construction operations. From the resulting time-series of activities, emissions were estimated for each piece of equipment and differed by only 2% from those estimated by manual action recognition. Third, the actual emissions were compared to estimated ones using discrete event simulation, a computational model of construction activities. Actual emissions were 28% to 144% of those estimated by manual action recognition. Results of this research will aid practitioners in implementing strategies to measure, monitor, benchmark, and possibly reduce air pollutant emissions stemming from construction.
Master of Science
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Malins, Julian Paul. « The monitoring and control of specialist ceramic kiln atmospheres and emissions ». Thesis, Robert Gordon University, 1993. http://hdl.handle.net/10059/616.

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The ceramic glazing techniques of vapour glazing, reduction lustre, Raku and fuming all require specialised firing conditions with the use of potentially hazardous kiln atmospheres and specialist kiln designs for their successful execution. The technique of reduction lustre is an ancient, highly decorative technique in which pigments or glazes containing reducible metal oxides such as copper, silver and bismuth are subjected to a reducing atmosphere which results in the formation of stable iridescent lustrous colour effects. Conventionally hydrocarbons are used to produce a reducing atmosphere, the combustion of which can lead to potentially high levels of CO. This research has concentrated on the technique of reduction lustre with the aim of producing a safe, environmentally friendly firing system. Reduction lustre effects were reproduced using a 100 litre down draft gas kiln designed and constructed for the purpose. A 40 litre electric kiln was modified for use with reducing atmospheres and a laboratory muffle kiln was also adapted to provide closely controlled firing conditions. Alternative reducing atmospheres were assessed, consisting of either 5% H2 in N2 or hydrocarbon vapour in N2 The former is reliable, safe, environmentally friendly and is recommended for studio pottery use. A theoretical design for a reduction lustre kiln incorporating a gas control system based on the use of a 5% H2 in N2 gas mixture and a gas tight outer casing was developed. Thermoanalytical methods were used to investigate the reduction behaviour of raw materials, glazes and frits under different atmospheric conditions. Diffusional and topochemical models of reduction reactions occurring in a typical lustre glaze have been evaluated. In-glaze lustres reduce with thecharacteristics of diffusion processes. Water diffusion out of the glaze may be rate determining. Studies carried out using energy dispersive x-ray analysis andphoto electron spectroscopy show that lustres are associated with the presence of metallic copper, the actual colour being dependent on the surface concentration of the metal. The aesthetic results of the various firing methods developed were assessed using a perceptual study based on the use of a semantic differential test developed from a multiple sorting survey carried out using lustred tiles. The survey used both lustred tiles to represent a 2-dimensional surface and lustred vases which represented a 3-dimensional lustre glazed surface. The survey showed that statistically significant differences were observed between lustred ceramics fired in different systems, allowing comparisons to be made in an objective manner.
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Dhamija, Tanush. « Deep Learning Architectures for time of arrival detection in Acoustic Emissions Monitoring ». Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/24620/.

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Acoustic Emission (AE) monitoring can be used to detect the presence of damage as well as determine its location in Structural Health Monitoring (SHM) applications. Information on the time difference of the signal generated by the damage event arriving at different sensors is essential in performing localization. This makes the time of arrival (ToA) an important piece of information to retrieve from the AE signal. Generally, this is determined using statistical methods such as the Akaike Information Criterion (AIC) which is particularly prone to errors in the presence of noise. And given that the structures of interest are surrounded with harsh environments, a way to accurately estimate the arrival time in such noisy scenarios is of particular interest. In this work, two new methods are presented to estimate the arrival times of AE signals which are based on Machine Learning. Inspired by great results in the field, two models are presented which are Deep Learning models - a subset of machine learning. They are based on Convolutional Neural Network (CNN) and Capsule Neural Network (CapsNet). The primary advantage of such models is that they do not require the user to pre-define selected features but only require raw data to be given and the models establish non-linear relationships between the inputs and outputs. The performance of the models is evaluated using AE signals generated by a custom ray-tracing algorithm by propagating them on an aluminium plate and compared to AIC. It was found that the relative error in estimation on the test set was < 5% for the models compared to around 45% of AIC. The testing process was further continued by preparing an experimental setup and acquiring real AE signals to test on. Similar performances were observed where the two models not only outperform AIC by more than a magnitude in their average errors but also they were shown to be a lot more robust as compared to AIC which fails in the presence of noise.
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Xu, Jiangong Barnes Robert W. « Nondestructive evaluation of prestressed concrete structures by means of acoustic emissions monitoring ». Auburn, Ala, 2008. http://hdl.handle.net/10415/1429.

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Meyer, Eric Todd. « Evaluation of exhaust flowrate measurement techniques for a mobile emissions monitoring system ». Morgantown, W. Va. : [West Virginia University Libraries], 2001. http://etd.wvu.edu/templates/showETD.cfm?recnum=1855.

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Thesis (M.S.)--West Virginia University, 2001.
Title from document title page. Document formatted into pages; contains xii, 89 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 67-68).
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Bredemeyer, Stefan [Verfasser]. « Monitoring gas emissions of active volcanoes - identification of natural degassing variations and combination of volcano monitoring techniques / Stefan Bredemeyer ». Kiel : Universitätsbibliothek Kiel, 2017. http://d-nb.info/112814932X/34.

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Livres sur le sujet "Emissions monitoring"

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United Nations Environment Programme. Industry & Environment Office, United Nations Environment Programme et United Nations Industrial Development Organization, dir. Monitoring industrial emissions and wastes : A manual. Paris : UNEP, 1996.

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Saarinen, Kristina. Data production chain in monitoring of emissions. Helsinki : Finnish Environment Institute, 1999.

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Alberta air emissions trends and projections. Edmonton : Alberta Environment, 2008.

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United Nations. Economic and Social Commission for Asia and the Pacific. Task Force on Monitoring Air Pollutant Emissions, dir. Recommendations on methodologies of monitoring air pollutant emissions. New York : United Nations, 2002.

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E, Burklin C., et United States. Environmental Protection Agency. Office of Research and Development, dir. Oil and gas field emissions survey. Washington, D.C : The Office, 1992.

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Center for Environmental Research Information (U.S.), dir. Handbook, control of air emissions from Superfund sites. Cincinnati, OH : Center for Environmental Research Information, Office of Research and Development, U.S. Environmental Protection Agency, 1992.

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1948-, Waterland L. R., et United States. Environmental Protection Agency., dir. Testing the performance of continuous emission monitors for measuring trace metal and organic species emissions from incinerators. [Washington, D.C. ? : U.S. Environmental Protection Agency, 1996.

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1948-, Waterland L. R., et United States. Environmental Protection Agency, dir. Testing the performance of continuous emission monitors for measuring trace metal and organic species emissions from incinerators. [Washington, D.C. ? : U.S. Environmental Protection Agency, 1996.

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Specified gas emitters regulation : Technical guidance for completing baseline emissions intensity applications. 2e éd. [Edmonton] : Alberta Environment, 2009.

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Specified gas emitters regulation : Technical guidance document for baseline emissions intensity applications. [Edmonton] : Alberta Environment, 2007.

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Chapitres de livres sur le sujet "Emissions monitoring"

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Clarke, Andrew G., et George Bartle. « Particulate emissions by extractive sampling ». Dans Industrial Air Pollution Monitoring, 33–60. Dordrecht : Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-009-1435-3_3.

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Clarke, Andrew G. « Statistics in relation to emissions monitoring ». Dans Industrial Air Pollution Monitoring, 269–84. Dordrecht : Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-009-1435-3_16.

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Zhao, Daiqing, Wenjun Wang et Zhigang Luo. « Emissions Monitoring, Reporting and Verification ». Dans A Brief Overview of China’s ETS Pilots, 127–51. Singapore : Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1888-7_7.

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Strzyszcz, Zygmunt. « Magnetic Susceptibility of Soils in the Areas Influenced by Industrial Emissions ». Dans Soil Monitoring, 255–69. Basel : Birkhäuser Basel, 1993. http://dx.doi.org/10.1007/978-3-0348-7542-4_20.

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Medhurst, Simon, et David Miles. « Quality assurance and quality control in emissions monitoring ». Dans Industrial Air Pollution Monitoring, 257–68. Dordrecht : Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-009-1435-3_15.

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Köhl, Maximilian A., Holger Hermanns et Sebastian Biewer. « Efficient Monitoring of Real Driving Emissions ». Dans Runtime Verification, 299–315. Cham : Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03769-7_17.

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Konovalov, Igor, Matthias Beekmann, Andreas Richter et John Burrows. « Satellite Monitoring of Nitrogen Oxide Emissions ». Dans Use of Satellite and In-Situ Data to Improve Sustainability, 219–34. Dordrecht : Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9618-0_25.

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Grutter, Michel, Roberto Basaldud, Edgar Flores et Roland Harig. « Optical Remote Sensing for Characterizing the Spatial Distribution of Stack Emissions ». Dans Advanced Environmental Monitoring, 107–18. Dordrecht : Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6364-0_8.

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Clarke, Andrew G. « Legislation on emissions of air pollutants and their monitoring ». Dans Industrial Air Pollution Monitoring, 1–19. Dordrecht : Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-009-1435-3_1.

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Varma, Ravi M., Ram A. Hashmonay, Ke Du, Mark J. Rood, Byung J. Kim et Michael R. Kemme. « A Novel Method to Quantify Fugitive Dust Emissions Using Optical Remote Sensing ». Dans Advanced Environmental Monitoring, 143–54. Dordrecht : Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6364-0_11.

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Actes de conférences sur le sujet "Emissions monitoring"

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Hung, Wilfred S. Y., et Fritz Langenbacher. « PEMS : Monitoring NOx Emissions From Gas Turbines ». Dans ASME 1995 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/95-gt-415.

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Predictive Emission Monitoring System (PEMS) was developed in 1990 to provide continuous monitoring of NOx emissions from stationary gas turbines with minimum maintenance. This system will meet the Enhanced Monitoring requirements under Title V of the Clean Air Act Amendments of 1990 when these requirements are finalized. The PEMS has been well received by various United States federal, state and local environmental agencies. It has been certified in the state of Colorado, and accepted in Pennsylvania and Texas. This paper reviews the Enhanced Monitoring requirements for gas turbine NOx emissions monitoring and discusses the technical background of the PEMS. The PEMS design is described, including inputs, outputs and operator interface. Experiences with some of the installed systems are presented. The PEMS predicts NOx emissions from turbine control system inputs and measurements of ambient air conditions. The prediction algorithms are based upon a time tested NOx emission model for gas turbines. This model has successfully predicted all measured NOx emission phenomena from gas turbines since 1974. The PEMS has been proven to be accurate within the 20% relative accuracy required for certification. The PEMS operates unattended, with extremely low maintenance and high reliability. Record keeping and report generation are automated. The PEMS is typically integrated into the turbine control and condition monitoring system. The PEMS meets regulatory requirements with a much lower cost than a conventional Continuous Emission Monitoring System (CEMS).
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Lin, Jin You. « Distributed Emissions Monitoring System ». Dans 2008 Fourth International Conference on Networked Computing and Advanced Information Management (NCM). IEEE, 2008. http://dx.doi.org/10.1109/ncm.2008.256.

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Trofymenko, P. I., V. V. Lyashenko, O. A. Tymoshchuk et N. V. Trofimenko. « LAND CONVERSION INFLUENCE MONITORING FOR CO2 EMISSIONS ESTIMATION IN UKRAINE ». Dans Monitoring 2019. European Association of Geoscientists & Engineers, 2019. http://dx.doi.org/10.3997/2214-4609.201903258.

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MILLS-DADSON, BONAVENTURE, KASSAHUN ASAMENE, TRAVIS WHITLOW et MANNUS SUNDARESAN. « Acoustic Emissions from Damage Mechanisms in Composites ». Dans Structural Health Monitoring 2015. Destech Publications, 2015. http://dx.doi.org/10.12783/shm2015/189.

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RAJARAM, SATISH, UTKU GUCLU, PRASHANTH ABRAHAM, SHANE ESOLA et ANTONIOS KONTSOS. « Remaining Useful Life Estimations Using Acoustic Emissions ». Dans Structural Health Monitoring 2015. Destech Publications, 2015. http://dx.doi.org/10.12783/shm2015/300.

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« Continuous monitoring of Jupiter's aurora and Io plasma torus with the Hisaki satellite : Recent results and future coordination with Juno (abstract) ». Dans Planetary Radio Emissions VIII. Vienna : Austrian Academy of Sciences Press, 2018. http://dx.doi.org/10.1553/pre8s29.

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Zhang, Danlu, Gopal Venkatesan, Mostafa Kaveh, Ahmed H. Tewfik et Kevin M. Buckley. « Fault monitoring using acoustic emissions ». Dans 1999 Symposium on Smart Structures and Materials, sous la direction de Richard O. Claus et William B. Spillman, Jr. SPIE, 1999. http://dx.doi.org/10.1117/12.349752.

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Spellicy, Robert L., J. P. LaCosse, David M. Hull, S. J. Cain et Gerald Pophal. « Application of FTIR to semiconductor emissions monitoring ». Dans Optical Sensing for Environmental and Process Monitoring, sous la direction de Joseph Leonelli, Dennis K. Killinger, William Vaughan et Michael G. Yost. SPIE, 1995. http://dx.doi.org/10.1117/12.205562.

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Monfredini, Claudia, Laurent Mondzali, Meriem Bouzid, Alex Alfi Stillavato, Simonetta Sandri, Alice Tegami, Gennaro Aiello et Marta Morichini. « Upstream Air Quality Monitoring And Emissions ». Dans International Conference on Health, Safety and Environment in Oil and Gas Exploration and Production. Society of Petroleum Engineers, 2012. http://dx.doi.org/10.2118/156645-ms.

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Jalenak, Wayne. « Emissions monitoring by infrared photoacoustic spectroscopy ». Dans Optics, Electro-Optics, and Laser Applications in Science and Engineering, sous la direction de Joseph J. Santoleri. SPIE, 1991. http://dx.doi.org/10.1117/12.48460.

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Rapports d'organisations sur le sujet "Emissions monitoring"

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Taylor, R. W. Effluent Treatment Facility emissions monitoring. Office of Scientific and Technical Information (OSTI), février 1989. http://dx.doi.org/10.2172/6131931.

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S., Wertz-Kanounnikoff. Monitoring forest emissions : a review of methods. Center for International Forestry Research (CIFOR), 2008. http://dx.doi.org/10.17528/cifor/002602.

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Woo, L., et R. Glass. Electrochemical NOx Sensor for Monitoring Diesel Emissions. Office of Scientific and Technical Information (OSTI), novembre 2008. http://dx.doi.org/10.2172/945730.

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Greenstone, Michael, Rohini Pande, Nicholas Ryan et Anant Sudarshan. Continuous Emissions Monitoring Systems (CEMS) in India. International Initiative for Impact Evaluation (3ie), mars 2020. http://dx.doi.org/10.23846/dpw1ie111.

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Aines, Roger. NOx Sensor for Monitoring Emissions, CRADA TC02179.0. Office of Scientific and Technical Information (OSTI), mars 2017. http://dx.doi.org/10.2172/1355761.

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Glass, B., L. Woo, R. Aines, P. Thompson et J. Steppan. NOx Sensor for Monitoring Emissions, CRADA TC02179.0. Office of Scientific and Technical Information (OSTI), mars 2021. http://dx.doi.org/10.2172/1773588.

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Vance, L. M. Quality Assurance Program Plan for radionuclide airborne emissions monitoring. Office of Scientific and Technical Information (OSTI), juillet 1993. http://dx.doi.org/10.2172/10193299.

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McNaughton, Michael, Shannon P. Allen, Debra C. Archuleta, Burgandy Brock, Melissa A. Coronado, Jean M. Dewart, William F. Jr Eisele et al. Air Monitoring of Emissions from the Fukushima Daiichi Reactor. Office of Scientific and Technical Information (OSTI), juin 2012. http://dx.doi.org/10.2172/1043511.

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Knight, William J. LANSCE : Overview of Radioactive Air Emissions Monitoring (RAEM) program. Office of Scientific and Technical Information (OSTI), février 2013. http://dx.doi.org/10.2172/1062160.

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Boom, R. J. Quality assurance program plan for radionuclide airborne emissions monitoring. Office of Scientific and Technical Information (OSTI), décembre 1995. http://dx.doi.org/10.2172/179120.

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