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Study on optimization of monitoring sites based on atmospheric characteristic pollutants |
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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.
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Received: 31 July 2014
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