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Performance Evaluation of AERMOD and CALPUFF Air Dispersion Models in Industrial Complex Area

並列摘要


AERMOD and CALPUFF air dispersion models were evaluated for their performance in predicting nitrogen dioxide (NO_2) and sulfur dioxide (SO_2) in Maptaphut industrial area in Thailand. Emission data were obtained from 292 point sources in the study domain. Modeled results were compared with those measured data from 10 receptor sites. Evaluation of model performance was carried out by using statistical analysis. Overall results revealed that AERMOD provided more accurate results than CALPUFF model for both NO_2 and SO_2 predictions. As for the highest value, results from robust highest concentration analysis indicated that AERMOD had better performance in predicting extreme high-end concentration than CALPUFF.

並列關鍵字

AERMOD CALPUFF air dispersion Maptaphut

被引用紀錄


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江家豪(2010)。地下停車場室內空氣品質與暴露健康效應之研究〔碩士論文,國立臺北科技大學〕。華藝線上圖書館。https://doi.org/10.6841/NTUT.2010.00358
劉漢琪(2012)。AERMOD與ISCST3應用於國內空氣污染物面源排放模擬之比較研究〔碩士論文,國立臺北科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0006-1307201018004400
洪緯廷(2012)。一氧化碳空氣品質無線監測系統之建構暨室內濃度預測模型〔碩士論文,國立臺北科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0006-1608201219392900

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