EPA-105-FA18-03-A298

105

6,850 千元

空氣品質管理

2016/01/30

2017/01/29

林能暉

空保處

林渤原

國立中央大學大氣科學系

大氣空氣

長程傳送、區域大氣污染背景值、空氣品質預報

Long-range transport, Regional air quality background values, 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) 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、掌握境外貢獻這變因，不僅可以審慎評估空污政策之效益，亦可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氣品質的影響，並且達到預警效果，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，定量東亞區域及臺灣地區大氣污染物背景濃度，並釐清境外大氣污染物貢獻量。另利用WRF/CMAQ數值模式建立區域大氣空氣品質預報模式，並評估與預測境內外大氣污染物對臺灣之影響。進一步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。此外，亦積極拓展及參與國際交流並與國際技術接軌，以期提升日後模式模擬水準。

長程傳送、區域大氣污染背景值、空氣品質預報

EPA105FA1803A298.pdf

14MB

2017/5/1 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 2006-2015, 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.  According to AGAGE method and cluster analysis of backward trajectories, the background PM2.5 is about 6 micro-gram m^-3 for Wanli air quality station during fall season which is frequently influenced by Chinese haze.  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, AOGS, CMAS for learning the progress of emission inventory of East Asia and development of models. Besides, we have visited Japan National Institute of Environment (NIES) and Japan Agency for Marine-Earth Science and Technology (JAMSTEC) for learning the operational forecast of air quality and seeking for future collaborations.  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, Regional air quality background values, Air quality forecast