Comparison between observed and predicted mixing heights in Southern Taiwan
碩士 === 輔英科技大學 === 環境工程與科學系碩士班 === 104 === Mixing height is considered the maximum vertical extent height of the mixing of air pollutants in the atmosphere. As well, it is an important parameter in the model simulation of the concentration of pollutants. This study conducted a field study on a quarte...
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ndltd-TW-104FY0005150042017-04-08T04:31:36Z http://ndltd.ncl.edu.tw/handle/11663000772526327580 Comparison between observed and predicted mixing heights in Southern Taiwan 台灣南部地區實測與推估混合層高度之比較分析 Ciou, Jin-Wei 邱晉威 碩士 輔英科技大學 環境工程與科學系碩士班 104 Mixing height is considered the maximum vertical extent height of the mixing of air pollutants in the atmosphere. As well, it is an important parameter in the model simulation of the concentration of pollutants. This study conducted a field study on a quarterly basis in 2015 at Dalia District in Kaohsiung City. Seven days were selected in each season and air soundings were performed twice a day at dawn and noon. The results showed that the use of the early morning sounding data at the Kaohsiung area with the help of Holzworth method can overestimate 150 m of the noon-time mixing height. As well, the sounding data from Taipei area can overestimate the mixing height as large as 700 m. The sounding temperature profiles also indicated that the one obtained in Kaohsiung is almost the same as the one in Taipei when the altitude was lower than 2000 meters above sea level. Finally, the study also indicates that the uncertainties of mixing layer height estimation on the ground concentrations due to the ground sources predicted from an air quality model is relatively small, but is important as from high-stack sources. Lin, Ching-Ho 林清和 2016 學位論文 ; thesis 231 zh-TW |
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碩士 === 輔英科技大學 === 環境工程與科學系碩士班 === 104 === Mixing height is considered the maximum vertical extent height of the mixing of air pollutants in the atmosphere. As well, it is an important parameter in the model simulation of the concentration of pollutants. This study conducted a field study on a quarterly basis in 2015 at Dalia District in Kaohsiung City. Seven days were selected in each season and air soundings were performed twice a day at dawn and noon. The results showed that the use of the early morning sounding data at the Kaohsiung area with the help of Holzworth method can overestimate 150 m of the noon-time mixing height. As well, the sounding data from Taipei area can overestimate the mixing height as large as 700 m. The sounding temperature profiles also indicated that the one obtained in Kaohsiung is almost the same as the one in Taipei when the altitude was lower than 2000 meters above sea level. Finally, the study also indicates that the uncertainties of mixing layer height estimation on the ground concentrations due to the ground sources predicted from an air quality model is relatively small, but is important as from high-stack sources.
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author2 |
Lin, Ching-Ho |
author_facet |
Lin, Ching-Ho Ciou, Jin-Wei 邱晉威 |
author |
Ciou, Jin-Wei 邱晉威 |
spellingShingle |
Ciou, Jin-Wei 邱晉威 Comparison between observed and predicted mixing heights in Southern Taiwan |
author_sort |
Ciou, Jin-Wei |
title |
Comparison between observed and predicted mixing heights in Southern Taiwan |
title_short |
Comparison between observed and predicted mixing heights in Southern Taiwan |
title_full |
Comparison between observed and predicted mixing heights in Southern Taiwan |
title_fullStr |
Comparison between observed and predicted mixing heights in Southern Taiwan |
title_full_unstemmed |
Comparison between observed and predicted mixing heights in Southern Taiwan |
title_sort |
comparison between observed and predicted mixing heights in southern taiwan |
publishDate |
2016 |
url |
http://ndltd.ncl.edu.tw/handle/11663000772526327580 |
work_keys_str_mv |
AT cioujinwei comparisonbetweenobservedandpredictedmixingheightsinsoutherntaiwan AT qiūjìnwēi comparisonbetweenobservedandpredictedmixingheightsinsoutherntaiwan AT cioujinwei táiwānnánbùdeqūshícèyǔtuīgūhùnhécénggāodùzhībǐjiàofēnxī AT qiūjìnwēi táiwānnánbùdeqūshícèyǔtuīgūhùnhécénggāodùzhībǐjiàofēnxī |
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