Effects of boundary layer schemes on meteorological and air quality simulation in Taiwan

碩士 === 國立中央大學 === 大氣物理研究所 === 99 === The O3 and aerosol problem in Taiwan can be locally produced or long-range transported (LRT) from Gobi desert. The LRT of O3 problems are mostly observed during the spring season under the influence of Asian continental outflow. The O3 concentration about 50 to 7...

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Main Authors: Shan-Chieh Chin, 金尚節
Other Authors: Fang-yi Cheng
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/47240334316911245674
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spelling ndltd-TW-099NCU050210342017-07-06T04:42:57Z http://ndltd.ncl.edu.tw/handle/47240334316911245674 Effects of boundary layer schemes on meteorological and air quality simulation in Taiwan 探討邊界層參數化對氣象與空氣污染模擬結果的影響 Shan-Chieh Chin 金尚節 碩士 國立中央大學 大氣物理研究所 99 The O3 and aerosol problem in Taiwan can be locally produced or long-range transported (LRT) from Gobi desert. The LRT of O3 problems are mostly observed during the spring season under the influence of Asian continental outflow. The O3 concentration about 50 to 70 ppb is observed under the impact of LRT while the locally produced O3 concentration can reach up to 100 ppb easily. To adequately simulate air pollution events in Taiwan, the correct representation of the boundary layer wind, temperature, moisture, flux components and mixing heights, are needed for air quality modeling which are strongly dependent on the boundary layer parameterizations in meteorological models. In this study, meteorological simulations are performed using Weather Research Forecasting (WRF)(V3.2.1) model by applying two different PBL schemes (YSU and MYJ). Community Multiscale Air Quality (CMAQ) modeling system is performed subsequently to study the effect of the PBL physical processes on the meteorological and air quality simulations. The comparison focused on two different atmospheric conditions. Case 1 is under the influence of the Asia continental outflow and the air pollutants is long-range transported (LRT) to northern Taiwan. Case 2 is associated with the land-sea breeze flow and the locally generated ozone concentration can reach up to 120 ppb. The simulation using YSU scheme predicts higher temperature during the night and inducing weaker land breeze flow which would accumulate the NO in the source region. The O3 titration is stronger near the source region and lower in the offshore area. During the daytime, the simulation using YSU scheme predicts higher temperature thus inducing stronger sea breeze flow which would carry the O3 produced in the previous day back into the Taiwan Island. The stronger sea breeze from simulation using YSU would predict higher O3 toward inland and lower O3 in the offshore area than the one using MYJ. Comparison with the observation datasets identifies less bias of the wind speed, temperature and ozone concentration with the simulation using YSU scheme. Wind direction is reasonably captured in both simulations. Fang-yi Cheng 鄭芳怡 2011 學位論文 ; thesis 102 zh-TW
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description 碩士 === 國立中央大學 === 大氣物理研究所 === 99 === The O3 and aerosol problem in Taiwan can be locally produced or long-range transported (LRT) from Gobi desert. The LRT of O3 problems are mostly observed during the spring season under the influence of Asian continental outflow. The O3 concentration about 50 to 70 ppb is observed under the impact of LRT while the locally produced O3 concentration can reach up to 100 ppb easily. To adequately simulate air pollution events in Taiwan, the correct representation of the boundary layer wind, temperature, moisture, flux components and mixing heights, are needed for air quality modeling which are strongly dependent on the boundary layer parameterizations in meteorological models. In this study, meteorological simulations are performed using Weather Research Forecasting (WRF)(V3.2.1) model by applying two different PBL schemes (YSU and MYJ). Community Multiscale Air Quality (CMAQ) modeling system is performed subsequently to study the effect of the PBL physical processes on the meteorological and air quality simulations. The comparison focused on two different atmospheric conditions. Case 1 is under the influence of the Asia continental outflow and the air pollutants is long-range transported (LRT) to northern Taiwan. Case 2 is associated with the land-sea breeze flow and the locally generated ozone concentration can reach up to 120 ppb. The simulation using YSU scheme predicts higher temperature during the night and inducing weaker land breeze flow which would accumulate the NO in the source region. The O3 titration is stronger near the source region and lower in the offshore area. During the daytime, the simulation using YSU scheme predicts higher temperature thus inducing stronger sea breeze flow which would carry the O3 produced in the previous day back into the Taiwan Island. The stronger sea breeze from simulation using YSU would predict higher O3 toward inland and lower O3 in the offshore area than the one using MYJ. Comparison with the observation datasets identifies less bias of the wind speed, temperature and ozone concentration with the simulation using YSU scheme. Wind direction is reasonably captured in both simulations.
author2 Fang-yi Cheng
author_facet Fang-yi Cheng
Shan-Chieh Chin
金尚節
author Shan-Chieh Chin
金尚節
spellingShingle Shan-Chieh Chin
金尚節
Effects of boundary layer schemes on meteorological and air quality simulation in Taiwan
author_sort Shan-Chieh Chin
title Effects of boundary layer schemes on meteorological and air quality simulation in Taiwan
title_short Effects of boundary layer schemes on meteorological and air quality simulation in Taiwan
title_full Effects of boundary layer schemes on meteorological and air quality simulation in Taiwan
title_fullStr Effects of boundary layer schemes on meteorological and air quality simulation in Taiwan
title_full_unstemmed Effects of boundary layer schemes on meteorological and air quality simulation in Taiwan
title_sort effects of boundary layer schemes on meteorological and air quality simulation in taiwan
publishDate 2011
url http://ndltd.ncl.edu.tw/handle/47240334316911245674
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