EPA-106-FA18-03-A215

106

6,780 千元

空氣品質管理

2017/06/28

2018/06/27

林能暉

空保處

簡大詠

國立中央大學

大氣空氣、區域環境管理、國際性議題

長程傳送、衛星反演、空氣品質預報

Long-range transport, Satellite retrieval, Air quality forecast

莊銘棟；王聖翔

嚴明鉦

黃威巽

03-4227151#65519

soyokaze.tw@gmail.com

區域大氣污染物 (例如，酸性污染物、沙塵暴霾害臭氧等 例如，酸性污染物、沙塵暴霾害臭氧等 例如，酸性污染物、沙塵暴霾害臭氧等 例如，酸性污染物、沙塵暴霾害臭氧等 例如，酸性污染物、沙塵暴霾害臭氧等 例如，酸性污染物、沙塵暴霾害臭氧等 例如，酸性污染物、沙塵暴霾害臭氧等 例如，酸性污染物、沙塵暴霾害臭氧等 例如，酸性污染物、沙塵暴霾害臭氧等 例如，酸性污染物、沙塵暴霾害臭氧等 ) 之長程 傳送於特定季節對臺灣空氣品質影響甚鉅 ，若能進一步透過科學方法檢視 若能進一步透過科學方法檢視 若能進一步透過科學方法檢視 若能進一步透過科學方法檢視 、 掌握 境外貢獻 這變因，不僅可以審慎評估空污政策之效益亦進一步掌 變因，不僅可以審慎評估空污政策之效益亦進一步掌 變因，不僅可以審慎評估空污政策之效益亦進一步掌 變因，不僅可以審慎評估空污政策之效益亦進一步掌 變因，不僅可以審慎評估空污政策之效益亦進一步掌 變因，不僅可以審慎評估空污政策之效益亦進一步掌 握與預測短中期區域大氣污染物的變化及臺灣空品質影響， 握與預測短中期區域大氣污染物的變化及臺灣空品質影響， 並且 達到 預警效果，使公部門亦能提早 預警效果，使公部門亦能提早 預警效果，使公部門亦能提早 預警效果，使公部門亦能提早 因應 。本團隊 持續 探討東亞區域長期氣候變 異、短期天氣型態及污染物排放 異、短期天氣型態及污染物排放 異、短期天氣型態及污染物排放 異、短期天氣型態及污染物排放 ，定量東亞區域及臺灣地大氣污染物背 定量東亞區域及臺灣地大氣污染物背 景濃度，並釐清境外大氣污染物貢獻量 景濃度，並釐清境外大氣污染物貢獻量 景濃度，並釐清境外大氣污染物貢獻量 景濃度，並釐清境外大氣污染物貢獻量 。另利用 。另利用 。另利用 WRF/CMAQ數值模式 建 立區域大氣空品質預報模式， 立區域大氣空品質預報模式， 並評估與預測境內外大氣污染物對臺灣之 評估與預測境內外大氣污染物對臺灣之 影響 。進一步 。進一步 規劃及建立空氣品質預報 規劃及建立空氣品質預報 及異常事件診斷之流程與作業方式 及工具，強化緊急應變與決策之能力 及工具，強化緊急應變與決策之能力 及工具，強化緊急應變與決策之能力 。此外 ，亦 積極拓展及參與國際交流 並與國際技 術接軌，以期提升 日後 模式擬水準。

長程傳送、衛星反演、空氣品質預報

EPA106FA1803A215.pdf

19MB

106區域大氣候與空品質分析模擬期末報告

2019/1/1 上午 12:00:00

The impact of regional atmospheric pollutants (i.e. acid substances, dust, haze, ozone, etc.) via long-range transport on local air quality in Taiwan is significant in particular seasons. Through critical scientific evaluation on contribution of long-transported pollution, we can assess the effectiveness of air pollution control policies, and further predict the short-term and mid-range variabilities of regional atmospheric pollutants. In this project, main tasks are to study the short-term climatic variability in East Asia, establish regional atmospheric air quality forecast system, and further assess the impact of regional air pollution on Taiwan’s air quality, as well as to progressively participate international activities for gaining more technologies for elevating our capability on model prediction. Till January 2017, the major achievements of this project are summarized below:  By analyzing meteorological data for East Asia and Taiwan EPA air quality data in 2006-2017, 12 categories of PM2.5 and O3 episodes are identified, including 8 categories primarily due to the leeside effect of Central Mountain Range (CMR), 1 category of long-range transport, and 3 others of accumulation of local pollutants.  Satellite data can improve the understandings of long-term air quality variations in East Asia. Through satellite measurement data from MODIS AOD, MOPITT CO and AIRS O3, the results indicate that AOD and CO all show the decreasing trend but distinct level at different region in East Asia. O3 also show decreasing trend, however, there are no statistical significant of O3 long-term trend in East Asia.  A preliminary version of atmospheric and air quality modeling forecast system has been constructed using WRF and CMAQ models. The model simulation is made daily. Results are further analyzed and illustrated for 3-day forecast.  Project members have participated conferences such as MICS-Asia, NASA, CMAS, NIES (National Institute of Environment, Japan) for learning the progress of emission inventory of East Asia and development of models.  The process of pre-warning regional pollution transport and events of subsidence of pollutants induced by typhoon circulations has been established by integrating model and subjective forecast. Case study has been demonstrated for EPA’s timely air quality analysis.

Long-range transport, Satellite retrieval, Air quality forecast