气候变化领域集成服务门户(CCPortal): Emergency monitoring layout method for sudden air pollution accidents based on a dispersion model, fuzzy evaluation, and post-optimality analysis

CCPortal

DOI	10.1016/j.atmosenv.2019.117124
	Emergency monitoring layout method for sudden air pollution accidents based on a dispersion model, fuzzy evaluation, and post-optimality analysis
	Cui J.; Lang J.; Chen T.; Cheng S.; Li Y.
发表日期	2020
ISSN	1352-2310
卷号	222
英文摘要	Air pollutant distributions identified through monitoring form an important basis for devising adequate emergency responses against sudden air pollution accidents (SAPAs). However, studies on the optimisation of monitoring layouts for SAPAs, which can help us better understand air pollutant dispersion, are lacking. We developed an emergency monitoring layout optimisation method for SAPAs that combines an air pollutant dispersion model, a fuzzy comprehensive evaluation method (FCEM), and a post-optimality analysis technique (POAT) to identify the optimal monitoring layout scheme based on a field sulphur hexafluoride (SF6) leakage test. The impact of the number of monitoring sites on the results (coverage rate and accuracy) were investigated and analysed through a proposed comprehensive evaluation method. A monitoring result–monitoring number curve was plotted to determine the optimal number of monitoring sites. Two scenarios, i.e. with and without environmentally sensitive monitoring sites, were analysed. The results showed that the developed optimisation method can effectively consider the role of sensitive sites and obtain a feasible network for monitoring SAPAs. The coverage rates of the optimal monitoring layout schemes were 76.2% and 61.9% for the two case scenarios, respectively; the relative deviations of mean air pollutant concentrations at the sites were 14.6% and −12.2%, respectively. We investigated the effect of incorporating POAT into the method by comparing the optimal emergency monitoring layout schemes based on dispersion model–FCEM and model–FCEM–POAT. The results showed that the coverage rates of the optimised monitoring layout schemes improved when POAT was introduced. The proposed method can help determine an adequate, optimised emergency monitoring network for SAPAs. © 2019 Elsevier Ltd
关键词	Emergency monitoring Fuzzy comprehensive evaluation Monitoring layout optimisation Post-optimality analysis Sudden air pollution
语种	英语
scopus关键词	Accidents; Atmospheric movements; Fuzzy set theory; Monitoring; Pollution detection; Sulfur hexafluoride; Air pollutant concentrations; Air pollutant dispersion modeling; Emergency monitoring; Environmentally sensitive; Fuzzy comprehensive evaluation; Fuzzy comprehensive evaluation method; Optimisations; Post Optimality Analysis; Air pollution; sulfur hexafluoride; dispersion; environmental monitoring; fuzzy mathematics; leakage; optimization; pollutant transport; pollution incidence; air pollution; algorithm; atmospheric pressure; controlled study; dispersion; environmental monitoring; explosion; fuzzy system; grid cell; health hazard; human; limit of detection; priority journal; wind speed
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/249440
作者单位	Key Laboratory of Beijing on Regional Air Pollution Control, College of Environmental & Energy Engineering, Beijing University of Technology, Beijing, 100124, China; Guangdong Provincial Academy of Environmental Science, Guangzhou, 510045, China
推荐引用方式 GB/T 7714	Cui J.,Lang J.,Chen T.,et al. Emergency monitoring layout method for sudden air pollution accidents based on a dispersion model, fuzzy evaluation, and post-optimality analysis[J],2020,222.
APA	Cui J.,Lang J.,Chen T.,Cheng S.,&Li Y..(2020).Emergency monitoring layout method for sudden air pollution accidents based on a dispersion model, fuzzy evaluation, and post-optimality analysis.ATMOSPHERIC ENVIRONMENT,222.
MLA	Cui J.,et al."Emergency monitoring layout method for sudden air pollution accidents based on a dispersion model, fuzzy evaluation, and post-optimality analysis".ATMOSPHERIC ENVIRONMENT 222(2020).