Analyzing the effects of seasonal wind and external sources on air quality monitoring network optimization for an industrial district
|關鍵字:||空氣品質監測站網;工業區;季風;區外污染源;優選;環境系統分析;air quality monitoring network;industrial district;seasonal wind;external sources;optimization;environmental systems analysis|
For an industrial district, an air quality monitoring network (AQMN) is usually established to monitor potential pollution threats on the ambient air quality in areas surrounding the district and assess the effectiveness of pollution control facilities. In general, an AQMN is designed based on the prevailing wind direction. However, for an area with significant seasonal variation in wind directions, such an approach may lead to an AQMN without any station being placed at a location that can detect seasonal pollution impacts. In addition, the existence of external pollution sources can interfere the assessment and interpretation of monitored data. The study was thus initiated to develop models for designing an appropriate AQMN that can detect seasonal pollution and reduce the effect of external sources. A partition procedure was proposed to properly divide the whole year into several major seasons based on seasonal wind direction variations. The ISCST3 dispersion model was applied to simulate hourly pollution distribution. According to the season division and simulated pollution distribution, a previously developed model optimizing detection capability was utilized to determine an AQMN that can proper detect seasonal pollution distributions. The other model maximizing the detected ratio of pollution emitted from the industry district was developed to obtain an AQMN that is not significantly affected by external sources. Two case studies were implemented to evaluate the applicability of both models. As demonstrated by the obtained AQMNs, the ability for detecting seasonal pollution is improved and the interference from external sources is reduced.
|Appears in Collections:||Thesis|
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