環保專案成果報告查詢系統

專案計畫編號
經費年度	111
計畫經費	4,950 千元
預算科目	空氣品質管理
專案開始日期	2022/08/17
專案結束日期	2023/05/16
專案主持人	蕭旻娟
主辦單位	空保處
承辦人	邱慶睿
執行單位	長榮大學
專案分類	大氣空氣
中文關鍵字	應變成效、空污應變成效推估、電廠降載成效、移動源應變成效、污染源貢獻比率推估
英文關鍵字	air quality deterioration emergency response assessment tool, power plant emission abatement, PM2.5 contribution among the top-ten sources
協同主持人
共同主持人	賴信志
計畫聯絡人	蕭旻娟
計畫聯絡電話	06-2785123#7706
計畫聯絡信箱	hsiaomj@mail.cjcu.edu.tw

中文摘要	為因應氣象變異或其他因素造成之短期空品不良，環保署與地方政府皆會依據空氣品質預報，提前採取各種應變措施，如上風處縣市工廠減少排放，協調燃煤火力發電廠減排降載等。然而當一系列應變措施實施後，所造成的空氣品質改善成效如何？是否可由減量即有改善的定性描述進階到量化評估空污應變措施的成效，特別是分布在全臺各地的火力電廠一直是重要污染源，如何依照不同氣象條件，規劃不同組合的電廠減排降載以達成空氣品質最佳改善一直是環保署欲瞭解的重要課題。為了釐清氣象條件對於臺灣空氣品質之影響，本團隊已綜整歷年高污染事件日的天氣型態，探討對於臺灣不同地區的污染濃度影響，同時運用網格模式模擬進行高污染事件日評估，完成多種天氣型態歷史空品事件日（包含PM2.5及臭氧）之多種污染減量情境，提供環保署多項科學證據，協助環保署制訂空品緊急應變措施。並透過空品模式模擬分析TEDS11.1各空品區排放量之差異，研析出可精進管制作為之特定污染源別，整合上述天氣型態、歷史空品事件日與特定污染源別之模擬成果，建立結合空品預報與不同污染源貢獻程度解析之流程，以應用於中央與地方空品緊急應變之執行，透過科學性模式模擬資料之解析，即時提供不同污染源貢獻程度供決策參考，並滾動式回饋應變管制策略制定，以提升空氣品質惡化防制應變之成效。
中文關鍵字	應變成效、空污應變成效推估、電廠降載成效、移動源應變成效、污染源貢獻比率推估

中文摘要

為因應氣象變異或其他因素造成之短期空品不良，環保署與地方政府皆會依據空氣品質預報，提前採取各種應變措施，如上風處縣市工廠減少排放，協調燃煤火力發電廠減排降載等。然而當一系列應變措施實施後，所造成的空氣品質改善成效如何？是否可由減量即有改善的定性描述進階到量化評估空污應變措施的成效，特別是分布在全臺各地的火力電廠一直是重要污染源，如何依照不同氣象條件，規劃不同組合的電廠減排降載以達成空氣品質最佳改善一直是環保署欲瞭解的重要課題。為了釐清氣象條件對於臺灣空氣品質之影響，本團隊已綜整歷年高污染事件日的天氣型態，探討對於臺灣不同地區的污染濃度影響，同時運用網格模式模擬進行高污染事件日評估，完成多種天氣型態歷史空品事件日（包含PM2.5及臭氧）之多種污染減量情境，提供環保署多項科學證據，協助環保署制訂空品緊急應變措施。並透過空品模式模擬分析TEDS11.1各空品區排放量之差異，研析出可精進管制作為之特定污染源別，整合上述天氣型態、歷史空品事件日與特定污染源別之模擬成果，建立結合空品預報與不同污染源貢獻程度解析之流程，以應用於中央與地方空品緊急應變之執行，透過科學性模式模擬資料之解析，即時提供不同污染源貢獻程度供決策參考，並滾動式回饋應變管制策略制定，以提升空氣品質惡化防制應變之成效。

中文關鍵字

應變成效、空污應變成效推估、電廠降載成效、移動源應變成效、污染源貢獻比率推估

類型	檔名	檔案大小	說明	最新版公開日期
期末報告	空氣品質惡化採取應變措施效益分析計畫成果報告（定稿）.pdf	8MB	111年空氣品質惡化採取應變措施效益分析計畫成果報告（定稿）	2023/8/23 上午 12:00:00

摘要	In order to respond to short-term air pollution caused by weather variations or other factors, both the Environmental Protection Administration(EPA) and local governments took various contingency measures in advance based on air quality forecasts, such as reducing emissions from factories in upwind counties and coordinating coal-fired power plants to reduce emissions and loads. However, after a series of contingency measures were implemented, how effective was the improvement in air quality? Can the qualitative description of improvement from reduction be advanced to quantitatively evaluate the effectiveness of air pollution contingency measures, especially since coal-fired power plants distributed throughout Taiwan had always been an important source of pollution? How to plan different combinations of power plant emissions reduction and load reduction according to different weather conditions to achieve the best improvement in air quality has always been an important issue that the Environmental Protection Administration wants to understand. In order to clarify the impact of weather conditions on air quality in Taiwan, our team integrated the weather patterns of high pollution events in previous years and investigate their influence on pollution concentrations in different regions of Taiwan. At the same time, we used air quality modeling to simulate high pollution events and assess multiple pollution reduction scenarios for historical air quality events (including PM2.5 and ozone), providing the Environmental Protection Administration with multiple scientific evidence to assist in the formulation of emergency air quality contingency measures. Through air quality modeling and analysis of the differences in emissions in various air quality zones, we will analyze specific pollutant sources that can be improved through better regulation. By integrating the simulation results of the above weather patterns, historical air quality events, and specific pollutant sources, we established a process that combines air quality forecasts with the analysis of the contribution levels of different pollutant sources, which can be used in the execution of central and local air quality emergency contingency measures. Through the analysis of scientific modeling data, this project provide real-time feedback on the contribution levels of different pollutant sources for decision-making reference, and roll out contingency control strategy formulation to enhance the effectiveness of air quality deterioration prevention and response.
英文關鍵字	air quality deterioration emergency response assessment tool, power plant emission abatement, PM2.5 contribution among the top-ten sources

摘要

In order to respond to short-term air pollution caused by weather variations or other factors, both the Environmental Protection Administration(EPA) and local governments took various contingency measures in advance based on air quality forecasts, such as reducing emissions from factories in upwind counties and coordinating coal-fired power plants to reduce emissions and loads. However, after a series of contingency measures were implemented, how effective was the improvement in air quality? Can the qualitative description of improvement from reduction be advanced to quantitatively evaluate the effectiveness of air pollution contingency measures, especially since coal-fired power plants distributed throughout Taiwan had always been an important source of pollution? How to plan different combinations of power plant emissions reduction and load reduction according to different weather conditions to achieve the best improvement in air quality has always been an important issue that the Environmental Protection Administration wants to understand. In order to clarify the impact of weather conditions on air quality in Taiwan, our team integrated the weather patterns of high pollution events in previous years and investigate their influence on pollution concentrations in different regions of Taiwan. At the same time, we used air quality modeling to simulate high pollution events and assess multiple pollution reduction scenarios for historical air quality events (including PM2.5 and ozone), providing the Environmental Protection Administration with multiple scientific evidence to assist in the formulation of emergency air quality contingency measures. Through air quality modeling and analysis of the differences in emissions in various air quality zones, we will analyze specific pollutant sources that can be improved through better regulation. By integrating the simulation results of the above weather patterns, historical air quality events, and specific pollutant sources, we established a process that combines air quality forecasts with the analysis of the contribution levels of different pollutant sources, which can be used in the execution of central and local air quality emergency contingency measures. Through the analysis of scientific modeling data, this project provide real-time feedback on the contribution levels of different pollutant sources for decision-making reference, and roll out contingency control strategy formulation to enhance the effectiveness of air quality deterioration prevention and response.

英文關鍵字

air quality deterioration emergency response assessment tool, power plant emission abatement, PM2.5 contribution among the top-ten sources