Distinguishing Between Remote and Local Air Pollution Over Taiwan: An Approach Based on Pollution Homogeneity Analysis

Pavel Kishcha, Sheng Hsiang Wang, Neng Huei Lin, Arlindo da Silva, Tang Huang Lin, Po Hsiung Lin, Gin Rong Liu, Boris Starobinets, Pinhas Alpert

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

An analysis of pollution homogeneity has been conducted to distinguish between remote and local pollution which contributes to month to month changes in aerosol optical depth (AOD) over the Taiwan area. This was carried out using both AERONET measurements at six monitoring sites in Taiwan and NASA MERRA-2 reanalysis, over the 15-year period from 2002 to 2017. As a measure of air pollution homogeneity we used the AOD standard deviation: the more homogeneous the spatial distribution of air pollution, the lower the AOD standard deviation is. Using this approach, we found that, over Taiwan, in autumn, inhomogeneous local air pollution is predominant, while, in spring, homogeneous remote air pollution from south-east Asia dominates. In autumn, when inhomogeneous aerosols from local sources dominate, the AOD standard deviation is essentially higher than that in spring, when homogeneous aerosols from remote sources dominate. Our approach allowed us to distinguish between homogeneous remote and inhomogeneous local sulfate air pollution of similar optical properties and chemical composition.

原文???core.languages.en_GB???
主出版物標題Air Pollution Modeling and its Application XXVI
編輯Clemens Mensink, Wanmin Gong, Amir Hakami
發行者Springer
頁面279-283
頁數5
ISBN(列印)9783030220549
DOIs
出版狀態已出版 - 2020
事件36th International Technical Meeting on Air Pollution Modeling and its Application, ITM 2018 - Ottawa, Canada
持續時間: 14 5月 201818 5月 2018

出版系列

名字Springer Proceedings in Complexity
ISSN(列印)2213-8684
ISSN(電子)2213-8692

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???event.eventtypes.event.conference???36th International Technical Meeting on Air Pollution Modeling and its Application, ITM 2018
國家/地區Canada
城市Ottawa
期間14/05/1818/05/18

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