桃園地區硫沈降之觀測與模擬
碩士 === 國立中央大學 === 大氣物理研究所 === 89 === The purpose of this study is to investigate the sulfur deposition distribution, and contribution SO2 point sources in Taoyuan County. In the study, ISC (Industrial Source Complex) Model was modified to simulate SO2 emission, dispersion, transport and deposition i...
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ndltd-TW-089NCU000210082016-01-29T04:28:17Z http://ndltd.ncl.edu.tw/handle/68987625492872446134 桃園地區硫沈降之觀測與模擬 Sheng-Hsiuang Wang 王聖翔 碩士 國立中央大學 大氣物理研究所 89 The purpose of this study is to investigate the sulfur deposition distribution, and contribution SO2 point sources in Taoyuan County. In the study, ISC (Industrial Source Complex) Model was modified to simulate SO2 emission, dispersion, transport and deposition in Taoyuan country, based on 1997 emission inventories. Scavenging coefficient λ is an important parameter of determining wet deposition. It is in the form of , where C is the SO2 concentration in air. Our data showed that λ and precipitation intensity P have a relationship of λ=7×10-5P0.58. Because the SO2 source data was not completed for model inputs, Statistical methods were applied to evaluate the missing parameters. As a result 1138 point source data were used for modeling. Comparing with the measurements, modeled SO2 concentrations are qualitatively in a good agreement, but underestimate. These 1138 point sources are divided into 3 categories, A (Lin-kou Power Plant), B (China Petroleum Refinery), and C (Other stacks). Large sources such as A and B can contribute widely the SO2 dispersion but make the lower surface concentration. Category C makes an opposite situation, and its influnce can’t be neglect. The ratio of these three categories to wet deposition was about 5:3:12. The model can simulation deposition pattern, but underestimate the values. 林能暉 2001 學位論文 ; thesis 117 zh-TW |
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碩士 === 國立中央大學 === 大氣物理研究所 === 89 === The purpose of this study is to investigate the sulfur deposition distribution, and contribution SO2 point sources in Taoyuan County. In the study, ISC (Industrial Source Complex) Model was modified to simulate SO2 emission, dispersion, transport and deposition in Taoyuan country, based on 1997 emission inventories.
Scavenging coefficient λ is an important parameter of determining wet deposition. It is in the form of , where C is the SO2 concentration in air. Our data showed that λ and precipitation intensity P have a relationship of λ=7×10-5P0.58.
Because the SO2 source data was not completed for model inputs, Statistical methods were applied to evaluate the missing parameters. As a result 1138 point source data were used for modeling. Comparing with the measurements, modeled SO2 concentrations are qualitatively in a good agreement, but underestimate.
These 1138 point sources are divided into 3 categories, A (Lin-kou Power Plant), B (China Petroleum Refinery), and C (Other stacks). Large sources such as A and B can contribute widely the SO2 dispersion but make the lower surface concentration. Category C makes an opposite situation, and its influnce can’t be neglect. The ratio of these three categories to wet deposition was about 5:3:12. The model can simulation deposition pattern, but underestimate the values.
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author2 |
林能暉 |
author_facet |
林能暉 Sheng-Hsiuang Wang 王聖翔 |
author |
Sheng-Hsiuang Wang 王聖翔 |
spellingShingle |
Sheng-Hsiuang Wang 王聖翔 桃園地區硫沈降之觀測與模擬 |
author_sort |
Sheng-Hsiuang Wang |
title |
桃園地區硫沈降之觀測與模擬 |
title_short |
桃園地區硫沈降之觀測與模擬 |
title_full |
桃園地區硫沈降之觀測與模擬 |
title_fullStr |
桃園地區硫沈降之觀測與模擬 |
title_full_unstemmed |
桃園地區硫沈降之觀測與模擬 |
title_sort |
桃園地區硫沈降之觀測與模擬 |
publishDate |
2001 |
url |
http://ndltd.ncl.edu.tw/handle/68987625492872446134 |
work_keys_str_mv |
AT shenghsiuangwang táoyuándeqūliúchénjiàngzhīguāncèyǔmónǐ AT wángshèngxiáng táoyuándeqūliúchénjiàngzhīguāncèyǔmónǐ |
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