Monitoring Air Pollutants for Long Range Transportation and Air
「Monitoring Air Pollutants for Long Range Transportation and Air 」於資料集「EPQSummary_EnvironmentalInformationSystem」由單位「行政院環境保護署」的陳先生所提供，聯繫電話是02-2311-7722#2386，最近更新時間為：2023-07-30 01:01:46。 欄位Project Title的內容是Monitoring Air Pollutants for Long Range Transportation and Air Quality Forecast Auxiliary System ， 欄位Project Subject的內容是The purpose of this project is to develop and maintain forecasting systems to facilitate daily forecast of air quality over the Taiwan area. The main accomplishments include: (1) Maintain the “Air Quality Forecast Auxiliary System” to provide the information for daily forecast and develop probability forecasting for various classes of air quality levels; (2) Maintain and operate the “East Asia Mineral Dust Model” to provide 120 hours forecast, as well as develop dynamic numerical models (CMAQ、WRF-CHEM) coupled with mineral dust deflation scheme to increase operational efficiency; (3) Maintain and operation the “Taiwan local Dust Model” to provide simulations for 72-hours forecast, and improve the dust size distribution for the main river beds over central and southern Taiwan in the local dust model; (4) Provide model forecasting output for the local river dust warning, perform statistical analysis between local dust generation and meteorological parameters, then assess the feasibility of statistical forecasting; (5) Maintain and continue to upgrade air quality numerical models (including biomass burning model), to provide simulations of local and long range transport of air pollutants, and to assist routine operation for 72-hour forecasts; (6) Assist the porting and testing of all the above numerical systems to the High Performance Computation facility of the Central Weather Bureau (CWB) under the agreement between CWB and EPA; (7)Analyze the relationship between AOD、ground truth of meteorological factor and aerosol vertical distribution, so as to facilitate future application of PM2.5 forecast: (8) Analyses selected air pollution episodes for the purpose of improving air quality forecasts; (9) Provide special-duty manpower to EPA for daily forecasts of air pollution; (10) Complete testing the CMAQ model to allow operation in the coming year.
On-going work for sustainable development of the forecasting systems will focus on: elevating the air-quality forecasting capability by integrating the statistical model and numerical model, developing different numerical forecast model systems to offer diverse information for a better objective forecast, improving emission inventory for air quality numerical modeling, continuing development of MODIS AOD retrieval system, as well establishing a more accurate land-use type classification for a local-area mineral dust model, so that these air quality daily forecast systems can better cope with the conditions of complex terrain and geographical features over the Taiwan area. ， 欄位Project Year的內容是2010 ， 欄位Organizer的內容是Department of Environmental Monitoring ＆amp; Information Management ， 欄位Executive Unit的內容是國立台灣大學 ， 欄位Reporting download URL的內容是https://epq.epa.gov.tw/ProjectDoc/FileDownload?fid=20208&proj_id=0994224098&doc_kind=1 ， 欄位Publish Date的內容是20110301 。
Project Title
Monitoring Air Pollutants for Long Range Transportation and Air Quality Forecast Auxiliary System
Project Subject
The purpose of this project is to develop and maintain forecasting systems to facilitate daily forecast of air quality over the Taiwan area. The main accomplishments include: (1) Maintain the “Air Quality Forecast Auxiliary System” to provide the information for daily forecast and develop probability forecasting for various classes of air quality levels; (2) Maintain and operate the “East Asia Mineral Dust Model” to provide 120 hours forecast, as well as develop dynamic numerical models (CMAQ、WRF-CHEM) coupled with mineral dust deflation scheme to increase operational efficiency; (3) Maintain and operation the “Taiwan local Dust Model” to provide simulations for 72-hours forecast, and improve the dust size distribution for the main river beds over central and southern Taiwan in the local dust model; (4) Provide model forecasting output for the local river dust warning, perform statistical analysis between local dust generation and meteorological parameters, then assess the feasibility of statistical forecasting; (5) Maintain and continue to upgrade air quality numerical models (including biomass burning model), to provide simulations of local and long range transport of air pollutants, and to assist routine operation for 72-hour forecasts; (6) Assist the porting and testing of all the above numerical systems to the High Performance Computation facility of the Central Weather Bureau (CWB) under the agreement between CWB and EPA; (7)Analyze the relationship between AOD、ground truth of meteorological factor and aerosol vertical distribution, so as to facilitate future application of PM2.5 forecast: (8) Analyses selected air pollution episodes for the purpose of improving air quality forecasts; (9) Provide special-duty manpower to EPA for daily forecasts of air pollution; (10) Complete testing the CMAQ model to allow operation in the coming year. On-going work for sustainable development of the forecasting systems will focus on: elevating the air-quality forecasting capability by integrating the statistical model and numerical model, developing different numerical forecast model systems to offer diverse information for a better objective forecast, improving emission inventory for air quality numerical modeling, continuing development of MODIS AOD retrieval system, as well establishing a more accurate land-use type classification for a local-area mineral dust model, so that these air quality daily forecast systems can better cope with the conditions of complex terrain and geographical features over the Taiwan area.
Project Year
2010
Organizer
Department of Environmental Monitoring ＆amp; Information Management
Executive Unit
國立台灣大學
Reporting download URL
https://epq.epa.gov.tw/ProjectDoc/FileDownload?fid=20208&proj_id=0994224098&doc_kind=1
Publish Date
20110301
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