Health Risk Analysis of Dust in Estuarine Region – Using Da-an and Da-jia River as a Case Study
碩士 === 東海大學 === 環境科學與工程學系 === 105 === Being located in the global monsoon regions, Taiwan is characterized by distinctly wet and dry seasons. To cope with water shortage in dry season, Taiwanese government has actively build more lakes and reservoirs to store water during wet season. Because of the...
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ndltd-TW-105THU005180092019-05-15T23:24:49Z http://ndltd.ncl.edu.tw/handle/2rbx5e Health Risk Analysis of Dust in Estuarine Region – Using Da-an and Da-jia River as a Case Study 河口揚塵之健康風險分析-以大安、大甲溪為例 LIN, YU-TING 林昱廷 碩士 東海大學 環境科學與工程學系 105 Being located in the global monsoon regions, Taiwan is characterized by distinctly wet and dry seasons. To cope with water shortage in dry season, Taiwanese government has actively build more lakes and reservoirs to store water during wet season. Because of the policies, dried bare lands is usually happening in the downstream. Eventually, this phenomenon will increase the emission of river dust from dry riverbed. This research study is divided into three parts. To start with, used satellite remote sensing technology to access identification and quantification on dry riverbed and analyzed dry riverbed changing situation between wet and dry seasons. Furthermore, simulated PM10 by using TAPM (The Air Pollution Model). PM10 was simulated by two different scenarios (wet and dry seasons, weather pattern). Finally, estimated the cancer risk of population from simulated concentration. The results showed that bare land area of dry season in Da-an river is 1.13 times larger than wet season. Besides, bare land area of dry season in Da-jia river is up to 2.15 times larger than wet season. According to risk assessment, it that Da-jia and Qing-shui district are higher cancer risk area in both dry and wet seasons. CHEN, HO-WEN CHEN, WEI-YEA 陳鶴文 陳維燁 2017 學位論文 ; thesis 92 zh-TW |
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碩士 === 東海大學 === 環境科學與工程學系 === 105 === Being located in the global monsoon regions, Taiwan is characterized by distinctly wet and dry seasons. To cope with water shortage in dry season, Taiwanese government has actively build more lakes and reservoirs to store water during wet season. Because of the policies, dried bare lands is usually happening in the downstream. Eventually, this phenomenon will increase the emission of river dust from dry riverbed.
This research study is divided into three parts. To start with, used satellite remote sensing technology to access identification and quantification on dry riverbed and analyzed dry riverbed changing situation between wet and dry seasons. Furthermore, simulated PM10 by using TAPM (The Air Pollution Model). PM10 was simulated by two different scenarios (wet and dry seasons, weather pattern). Finally, estimated the cancer risk of population from simulated concentration.
The results showed that bare land area of dry season in Da-an river is 1.13 times larger than wet season. Besides, bare land area of dry season in Da-jia river is up to 2.15 times larger than wet season. According to risk assessment, it that Da-jia and Qing-shui district are higher cancer risk area in both dry and wet seasons.
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author2 |
CHEN, HO-WEN |
author_facet |
CHEN, HO-WEN LIN, YU-TING 林昱廷 |
author |
LIN, YU-TING 林昱廷 |
spellingShingle |
LIN, YU-TING 林昱廷 Health Risk Analysis of Dust in Estuarine Region – Using Da-an and Da-jia River as a Case Study |
author_sort |
LIN, YU-TING |
title |
Health Risk Analysis of Dust in Estuarine Region – Using Da-an and Da-jia River as a Case Study |
title_short |
Health Risk Analysis of Dust in Estuarine Region – Using Da-an and Da-jia River as a Case Study |
title_full |
Health Risk Analysis of Dust in Estuarine Region – Using Da-an and Da-jia River as a Case Study |
title_fullStr |
Health Risk Analysis of Dust in Estuarine Region – Using Da-an and Da-jia River as a Case Study |
title_full_unstemmed |
Health Risk Analysis of Dust in Estuarine Region – Using Da-an and Da-jia River as a Case Study |
title_sort |
health risk analysis of dust in estuarine region – using da-an and da-jia river as a case study |
publishDate |
2017 |
url |
http://ndltd.ncl.edu.tw/handle/2rbx5e |
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