Mapping dust storm PM2.5 pollution risk using indicator kriging in northern Taiwan

For this study, dust storm data was collected on 24 - 25 March, 2012. This dust storm impacted the northern area of Taiwan for about two days, so our study was confined to the northern air quality region of Taiwan using indicator kriging for assessing the probability of exceeding the threhold concen...

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Main Authors: Hui-Chung Yeh, Yen-Chang Chen, Chiang Wei
Format: Article
Language:English
Published: Chinese Geoscience Union 2020-01-01
Series:Terrestrial, Atmospheric and Oceanic Sciences
Online Access: http://tao.cgu.org.tw/media/k2/attachments/v313p313.pdf
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spelling doaj-301f8f9481e442ac85d93d38f1efc80b2020-11-25T02:55:52ZengChinese Geoscience UnionTerrestrial, Atmospheric and Oceanic Sciences1017-08392311-76802020-01-0131331332310.3319/TAO.2019.11.07.01Mapping dust storm PM2.5 pollution risk using indicator kriging in northern TaiwanHui-Chung YehYen-Chang ChenChiang WeiFor this study, dust storm data was collected on 24 - 25 March, 2012. This dust storm impacted the northern area of Taiwan for about two days, so our study was confined to the northern air quality region of Taiwan using indicator kriging for assessing the probability of exceeding the threhold concentration of PM2.5. Results showed that the highest levels of dust storm pollution in the study area were in the Zhongzheng District of Taipei City, with a concentration of 39.86 μg m-3. The lowest levels were 21.88 μg m-3, in Xinzhuang District, New Taipei City. Among the four administrative regions, variation was greatest in Taipei City, with concentrations between 22.74 and 39.86 μg m-3, and lowest in Keelung City, with concentrations between 23.97 and 27.56 μg m-3. We categorized pollution concentrations with probabilities greater than 0.7 into three categories to represent health risk hazards. Eighty-seven percent of areas were low risk, with PM2.5 concentrations above 25 μg m-3. Areas with PM2.5 concentrations greater than 30 μg m-3 were considered moderate risk areas, and comprised 1.2% of all area; this category appeared in the Zhongshan, Songshan, Datong, and Daan Districts of Taipei City and the Zhongli District of Taoyuan City. Concentrations greater than 35 μg m-3, labeled high risk areas, accounted for only 0.4% and were concentrated in the Zhongshan, Songshan, and Zhongli Districts of Taipei City. The methods used in this study and its results can be key references for future early warning and prevention of dust pollution by relevant authorities. http://tao.cgu.org.tw/media/k2/attachments/v313p313.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Hui-Chung Yeh
Yen-Chang Chen
Chiang Wei
spellingShingle Hui-Chung Yeh
Yen-Chang Chen
Chiang Wei
Mapping dust storm PM2.5 pollution risk using indicator kriging in northern Taiwan
Terrestrial, Atmospheric and Oceanic Sciences
author_facet Hui-Chung Yeh
Yen-Chang Chen
Chiang Wei
author_sort Hui-Chung Yeh
title Mapping dust storm PM2.5 pollution risk using indicator kriging in northern Taiwan
title_short Mapping dust storm PM2.5 pollution risk using indicator kriging in northern Taiwan
title_full Mapping dust storm PM2.5 pollution risk using indicator kriging in northern Taiwan
title_fullStr Mapping dust storm PM2.5 pollution risk using indicator kriging in northern Taiwan
title_full_unstemmed Mapping dust storm PM2.5 pollution risk using indicator kriging in northern Taiwan
title_sort mapping dust storm pm2.5 pollution risk using indicator kriging in northern taiwan
publisher Chinese Geoscience Union
series Terrestrial, Atmospheric and Oceanic Sciences
issn 1017-0839
2311-7680
publishDate 2020-01-01
description For this study, dust storm data was collected on 24 - 25 March, 2012. This dust storm impacted the northern area of Taiwan for about two days, so our study was confined to the northern air quality region of Taiwan using indicator kriging for assessing the probability of exceeding the threhold concentration of PM2.5. Results showed that the highest levels of dust storm pollution in the study area were in the Zhongzheng District of Taipei City, with a concentration of 39.86 μg m-3. The lowest levels were 21.88 μg m-3, in Xinzhuang District, New Taipei City. Among the four administrative regions, variation was greatest in Taipei City, with concentrations between 22.74 and 39.86 μg m-3, and lowest in Keelung City, with concentrations between 23.97 and 27.56 μg m-3. We categorized pollution concentrations with probabilities greater than 0.7 into three categories to represent health risk hazards. Eighty-seven percent of areas were low risk, with PM2.5 concentrations above 25 μg m-3. Areas with PM2.5 concentrations greater than 30 μg m-3 were considered moderate risk areas, and comprised 1.2% of all area; this category appeared in the Zhongshan, Songshan, Datong, and Daan Districts of Taipei City and the Zhongli District of Taoyuan City. Concentrations greater than 35 μg m-3, labeled high risk areas, accounted for only 0.4% and were concentrated in the Zhongshan, Songshan, and Zhongli Districts of Taipei City. The methods used in this study and its results can be key references for future early warning and prevention of dust pollution by relevant authorities.
url http://tao.cgu.org.tw/media/k2/attachments/v313p313.pdf
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