Abstract:Conventional air quality monitor has disadvantage in detecting specific atmospheric problems such as odor pollution. The paper established a multi-objective model combining environmental, economic and social factors to optimize air quality monitoring sites considering regional special pollution. Synthetic grading method was used to screen characteristic pollutants and fuzzy-AHP was used to calculate weight scores for environmental, economic and social effects. The multi-objective model for optimizing air quality monitoring sites established was applied to Nanjing Xianlin region as a case study. In 3 scenarios, 5#、43#, 25#、43#、54# and 25#、43#、54#、77# were selected.The results of optimized monitoring sites could provide scientific references for policy makers.
秦怡雯, 钱瑜, 荣婷婷. 基于大气特征污染物的监测布点选址优化研究[J]. 中国环境科学, 2015, 35(4): 1056-1064.
QIN Yi-Wen, QIAN Yu, RONG Ting-Ting. Study on optimization of monitoring sites based on atmospheric characteristic pollutants. CHINA ENVIRONMENTAL SCIENCECE, 2015, 35(4): 1056-1064.