气候变化领域集成服务门户(CCPortal): The effects of air pollution sources / sensor array configurations on the likelihood of obtaining accurate source term estimations

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DOI	10.1016/j.atmosenv.2020.117754
	The effects of air pollution sources / sensor array configurations on the likelihood of obtaining accurate source term estimations
	Kendler S.; Nebenzal A.; Gold D.; Reed P.M.; Fishbain B.
发表日期	2021
ISSN	1352-2310
卷号	246
英文摘要	Estimating the source term in the case of multiple leaks using a sparse sensor array is a challenging task. Here, the effect of sensor array/leak configurations on the reliability of the source term estimation is studied using two new measures. The first describes the overall change in the sensor array response to different source terms. The second represents the effect of the source term on the readout of each sensor in the array. These measures are subjected to several model cases differing in sensor array/leak configurations. Then, the source term is estimated using a self-adaptive multiobjective evolutionary (MOEA) search algorithm combined with a gas dispersion model. The method searches for a set of leaks, each one of which has a typical emission rate and location that results in a minimal difference between the sensors' actual and computed pollution concentration. This objective, which is often used for source term estimation, is traded off against the second objective of maintaining a minimum number of active sources, which follows Occam's razor principle of parsimony. Analysis of the results obtained for these model cases suggests that the measures can be implemented as a design tool using a combination of computer simulation and field experiments before operational deployment. © 2020 Elsevier Ltd
英文关键词	Pollution; Air pollution sources; Array configurations; Field experiment; Multi-objective evolutionary; Operational deployments; Pollution concentration; Search Algorithms; Source term estimation; Evolutionary algorithms; algorithm; array; atmospheric pollution; concentration (composition); detection method; estimation method; pollutant source; sensor; air pollution; algorithm; atmospheric dispersion; computer simulation; field experiment; multiobjective optimization; priority journal; reliability
语种	英语
来源期刊	Atmospheric Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/169115
作者单位	Dept. of Environmental, Water and Agricultural Engineering, Faculty of Civil & Environmental Engineering, Technion – Israel Institute of Technology 616, Rabin Hall, Haifa, 32000, Israel; Environmental Physics Department, Israel Institute for Biological Research 24, Lerer St, Ness Ziona, 74100, Israel; Department of Mathematics, Technion – Israel Institute of Technology, Haifa, 320003, Israel; School of Civil and Environmental Engineering, Cornell University, Ithaca, NY 14853-3501, United States
推荐引用方式 GB/T 7714	Kendler S.,Nebenzal A.,Gold D.,et al. The effects of air pollution sources / sensor array configurations on the likelihood of obtaining accurate source term estimations[J],2021,246.
APA	Kendler S.,Nebenzal A.,Gold D.,Reed P.M.,&Fishbain B..(2021).The effects of air pollution sources / sensor array configurations on the likelihood of obtaining accurate source term estimations.Atmospheric Environment,246.
MLA	Kendler S.,et al."The effects of air pollution sources / sensor array configurations on the likelihood of obtaining accurate source term estimations".Atmospheric Environment 246(2021).