EPA-95-L105-02-201

095

2,140 千元

2006/03/03

2006/12/31

陳正平 教授

監資處

國立台灣大學 大氣科學系

環境資訊系統

空氣品質預報,大氣動力化學模式,大氣沙塵,生質燃燒,大氣穩定度,MODIS

atmospheric dynamic and chemistry model, atmospheric dust, biomass burning, atmospheric stability, MODIS

王國英 教授,王錫豐 博士,王天胤 講師

張筱平

02-33663937

hpchang@aerosol.as.ntu.edu.tw

本計畫針對台灣地區的空氣品質之例行性預報作業進行方法之研發與改進，並提供作業上必要的協助。主要工作內容包括維護現有「空氣品質預報輔助系統」，更新系統資料庫，以利每日進行次日空氣品質預報作業；配合本署東亞沙塵影響台灣地區之預報作業，進行東亞沙塵起沙及傳輸預報模擬，綜合預報模式與氣象預報之結果，推估沙塵侵台時間、影響範圍及濃度分布狀況，對可能侵台的東亞沙塵事件提供24至48小時之預警。同時也協助發展空氣品質動力預報模式，以模擬包括生質燃燒等等本土以及外來空氣污染物濃度，提供24至48小時預測，以輔助例行性空氣品質預報作業。此外也分析高污染事件之空氣品質(PSI>100)資料，以及環保署逆溫儀觀測資料，配合氣象模式，以瞭解邊界層大氣穩定度與污染物濃度之關係，作為預報改進之參考依據。同時針對高污染事件，進行高解析度動力化學模式模擬並分析討論。動力化學模式預報模式結果以及逆溫儀觀測資料也將應用於改善客觀預報法內之統計迴歸法。本計畫也負責環保署MODIS衛星資料接收系統之維護與保固，確保相關影像產品之例行性輸出，並應用影像產品於輔助空氣品質預報作業與結果驗證。

空氣品質預報,大氣動力化學模式,大氣沙塵,生質燃燒,大氣穩定度,MODIS

EPA95L10502201.pdf

57MB

[期末報告]公開完整版

2007/2/1 上午 12:00:00

In this project, we provide technology development and support for the routine forecast of air quality and ultraviolet intensity over the Taiwan area. The main tasks are: (1) Provide hardware and software maintenance of EPA’s “Air Quality Forecast Auxiliary System” and update relevant database in order to facilitate the operation of daily forecast of air quality; (2) Perform daily simulation of atmospheric dust deflation and transport from East Asia to the Taiwan area, predict the arrival time, duration, concentration and extent of dust incursion so as to provide a 48-hr advance notice; (3) Develop a dynamic air quality model to provide simulations of local and foreign air pollutants including those from biomass burning, provide 24 to 48 hr forecasts to assist routine operation of air quality forecasts; (4) Analyze observational data of air pollution episodes as well as boundary layer temperature profiler data, understand the relationship between atmospheric stability so as to help the improvement of air quality forecasts; (5) Analyze observational data and output from dynamic air quality model to help understanding the cause of air pollution episodes; (6) Utilize the temperature profiler data and the air pollution model output to improve the statistical forecasting of daily air pollution; (7) Provide hardware and software maintenance of EPA’s “MODIS” data system and the production of daily image product, as well as utilize the staellite data in improving air pollution forecast and for result vefirications.

atmospheric dynamic and chemistry model, atmospheric dust, biomass burning, atmospheric stability, MODIS