time1: 0 time2: 0 time3: 0 time4: 0 total: 0 Auxiliary Air Quality Forecast System Over Taiwan and Informatio
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Auxiliary Air Quality Forecast System Over Taiwan and Informatio

Auxiliary Air Quality Forecast System Over Taiwan and Informatio」於資料集「EPQSummary_EnvironmentalImpactAssessment」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 01:01:43。 欄位Project Title的內容是Auxiliary Air Quality Forecast System Over Taiwan and Information Integration in 2020 , 欄位Project Subject的內容是The purpose of this project is to maintain the performance of forecasting systems and to facilitate the daily forecast of air quality over Taiwan region. The main work includes the maintenance and operation of the mesoscale numerical forecasting model, the Mainland China dust dynamic numerical model (TAQM/KOSA), the local riverside mineral dust dynamic model (TAQM/TWKOSA), and the Community Multi-scale Air Quality Model (CMAQ), and provides the forecast product query webpage. The characteristics of atmospheric variables and the concentrations of ozone, PM10 and PM2.5 from the model’s outputs and from the observation have been analyzed. To improve the air quality forecasting capability, we have also tried to identify the potential issues leading by the dynamics. In the future, these results can be further used to improve the performance of the dynamic numerical model. Current sensitivity analysis includes comparing the concentrations of O3, PM10 and PM2.5 between the data from EPA monitoring stations and from model simulations. For general pollution analysis, the simulated concentrations, diurnal variations and the seasonal variation of the pollutants are compared with the observation of EPA monitoring stations and seven air quality districts respectively. The poor quality event days in different weather patterns in this past year, and a serious air pollution event due to poor local dispersion, are analyzed. And the adjustment results of the model parameters are also analyzed, including the minimum boundary layer height limit test and the adjustment test of the dust emission distribution in Taiwan (WRFDUST). To help the daily forecasting in EPA, special-duty manpower is assigned to work for organizing and integrating all of the information to support the pre-warning decision. This project also provides the expert opinion from project director during the Mainland China severe dust events forecasting meeting. , 欄位Project Year的內容是2020 , 欄位Organizer的內容是Department of Environmental Monitoring & Information Management , 欄位Executive Unit的內容是國立臺灣大學大氣資源與災害研究中心 , 欄位Reporting download URL的內容是https://epq.epa.gov.tw/ProjectDoc/FileDownload?fid=240673&proj_id=1090470441&doc_kind=1 , 欄位Publish Date的內容是20210110

Project Title

Auxiliary Air Quality Forecast System Over Taiwan and Information Integration in 2020

Project Subject

The purpose of this project is to maintain the performance of forecasting systems and to facilitate the daily forecast of air quality over Taiwan region. The main work includes the maintenance and operation of the mesoscale numerical forecasting model, the Mainland China dust dynamic numerical model (TAQM/KOSA), the local riverside mineral dust dynamic model (TAQM/TWKOSA), and the Community Multi-scale Air Quality Model (CMAQ), and provides the forecast product query webpage. The characteristics of atmospheric variables and the concentrations of ozone, PM10 and PM2.5 from the model’s outputs and from the observation have been analyzed. To improve the air quality forecasting capability, we have also tried to identify the potential issues leading by the dynamics. In the future, these results can be further used to improve the performance of the dynamic numerical model. Current sensitivity analysis includes comparing the concentrations of O3, PM10 and PM2.5 between the data from EPA monitoring stations and from model simulations. For general pollution analysis, the simulated concentrations, diurnal variations and the seasonal variation of the pollutants are compared with the observation of EPA monitoring stations and seven air quality districts respectively. The poor quality event days in different weather patterns in this past year, and a serious air pollution event due to poor local dispersion, are analyzed. And the adjustment results of the model parameters are also analyzed, including the minimum boundary layer height limit test and the adjustment test of the dust emission distribution in Taiwan (WRFDUST). To help the daily forecasting in EPA, special-duty manpower is assigned to work for organizing and integrating all of the information to support the pre-warning decision. This project also provides the expert opinion from project director during the Mainland China severe dust events forecasting meeting.

Project Year

2020

Organizer

Department of Environmental Monitoring & Information Management

Executive Unit

國立臺灣大學大氣資源與災害研究中心

Publish Date

20210110

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