環保專案成果報告查詢系統

專案計畫編號
經費年度	112
計畫經費	2,950 千元
預算科目	空氣品質監測
專案開始日期	2023/09/01
專案結束日期	2024/12/31
專案主持人	賴信志
主辦單位	環境部監測資訊司
承辦人	葉亭妤
執行單位	長榮大學
專案分類	大氣空氣
中文關鍵字	臭氧、天氣型態、空氣品質
英文關鍵字	ozone、 weather type、air quality
協同主持人
共同主持人
計畫聯絡人	潘柏翰
計畫聯絡電話	06-2785123#7516
計畫聯絡信箱	panbn79@mail.cjcu.edu.tw

中文摘要	為探討綜觀天氣型態與空氣品質的關聯性，本計畫持續自動更新 113年迄今之資料庫，並持續擴充資料及優化空氣品質查詢功能，包含「各污染物等級之機率統計」、「空品數據統計查詢」、「颱風空品資料庫」、「高低壓查詢」及「空品預報專區」等，提供預報員查詢歷史案例及空品污染程度、統計圖資以及輿情回應等。透過中尺度流場影響臺灣空氣品質的建模分析，提供不同環境風場於西半部發生PM2.5及臭氧八小時(O3, 8hr)於污染情境時需留意的關鍵因子，並透過決策樹空品預報來快速了解未來一周內空氣品質的等級，協助預報員透過建模數據及當前的預報結果，掌握未來空品的動向。此外天氣型態伴隨的流場變動將會引起臺灣西半部臭氧污染的分布，本計畫提供2件春季臭氧好發之綜觀氣象特色及分析典型臭氧事件日始末，說明冷高壓的位移伴隨背風渦流及海陸風環流將會影響臺灣西半部受境外臭氧的影響程度以及臭氧污染傳輸累積的過程。另外輔助辦理未來一周空氣品質展望、協助空氣品質污染事件分析、提供相關空氣品質模式分析空氣污染突發事件。以及製作2則科普圖文，傳達空氣品質之政策與污染成因之正確訊息，以協助民眾理解；另辦理教育訓練，與預報員即時交流最新資訊、提升作業效能。
中文關鍵字	臭氧、天氣型態、空氣品質

中文摘要

為探討綜觀天氣型態與空氣品質的關聯性，本計畫持續自動更新 113年迄今之資料庫，並持續擴充資料及優化空氣品質查詢功能，包含「各污染物等級之機率統計」、「空品數據統計查詢」、「颱風空品資料庫」、「高低壓查詢」及「空品預報專區」等，提供預報員查詢歷史案例及空品污染程度、統計圖資以及輿情回應等。透過中尺度流場影響臺灣空氣品質的建模分析，提供不同環境風場於西半部發生PM2.5及臭氧八小時(O3, 8hr)於污染情境時需留意的關鍵因子，並透過決策樹空品預報來快速了解未來一周內空氣品質的等級，協助預報員透過建模數據及當前的預報結果，掌握未來空品的動向。此外天氣型態伴隨的流場變動將會引起臺灣西半部臭氧污染的分布，本計畫提供2件春季臭氧好發之綜觀氣象特色及分析典型臭氧事件日始末，說明冷高壓的位移伴隨背風渦流及海陸風環流將會影響臺灣西半部受境外臭氧的影響程度以及臭氧污染傳輸累積的過程。另外輔助辦理未來一周空氣品質展望、協助空氣品質污染事件分析、提供相關空氣品質模式分析空氣污染突發事件。以及製作2則科普圖文，傳達空氣品質之政策與污染成因之正確訊息，以協助民眾理解；另辦理教育訓練，與預報員即時交流最新資訊、提升作業效能。

中文關鍵字

臭氧、天氣型態、空氣品質

類型	檔名	檔案大小	說明	最新版公開日期
期末報告	112-113年天氣型態影響空氣品質智慧評析計畫-成果報告定稿.pdf	63MB		2025/1/20 上午 12:00:00

摘要	To explore the relationship between weather patterns and air quality, this project has continued to automatically update the air quality database so far. Besides, we continue to expand data and optimize the air quality query tools, including "Levels of various pollutants probability statistics", "Air quality statistical database", "Typhoon associated air quality database", "High and low- pressure inquiry" and "Air quality forecast ", etc. They can provide air quality forecasters with information on historical cases, air pollution statistical information, and public opinion responses. Through modeling and analysis of the impact of mesoscale flow fields on Taiwan's air quality, key factors that need to be paid attention to when PM2.5 and ozone eight hours (O3, 8hr) are generated in the western half of Taiwan by different environmental wind fields are provided. Decision tree forecasting can quickly understand the level of air quality in the next week, helping forecasters understand the future trends of air quality through historical data and current forecast results. In addition, the flow field changes associated with weather patterns will cause the distribution of ozone pollution in the western half of Taiwan. This project has provided two spring ozone-prone events with a comprehensive view of the meteorological characteristics. It analyzes the beginning and end of typical ozone event days, indicating that the displacement of cold and high pressure system is accompanied by leeward winds. Eddy flows and land-sea breeze circulation will affect the extent to which the western half of Taiwan is affected by long-range transport of ozone and the process of ozone pollution transmission and accumulation. In addition, we assist in handling the air quality outlook for the coming week, assist in analyzing air quality pollution incidents, and provide relevant air product models to analyze air pollution emergencies. We also produced 2 science graphics to convey correct information on air pollution policies and pollution causes to help the public understand. And, we also conducted education and training to communicate the latest information with forecasters in real time to improve operational efficiency.
英文關鍵字	ozone、 weather type、air quality

摘要

To explore the relationship between weather patterns and air quality, this project has continued to automatically update the air quality database so far. Besides, we continue to expand data and optimize the air quality query tools, including "Levels of various pollutants probability statistics", "Air quality statistical database", "Typhoon associated air quality database", "High and low- pressure inquiry" and "Air quality forecast ", etc. They can provide air quality forecasters with information on historical cases, air pollution statistical information, and public opinion responses. Through modeling and analysis of the impact of mesoscale flow fields on Taiwan's air quality, key factors that need to be paid attention to when PM2.5 and ozone eight hours (O3, 8hr) are generated in the western half of Taiwan by different environmental wind fields are provided. Decision tree forecasting can quickly understand the level of air quality in the next week, helping forecasters understand the future trends of air quality through historical data and current forecast results. In addition, the flow field changes associated with weather patterns will cause the distribution of ozone pollution in the western half of Taiwan. This project has provided two spring ozone-prone events with a comprehensive view of the meteorological characteristics. It analyzes the beginning and end of typical ozone event days, indicating that the displacement of cold and high pressure system is accompanied by leeward winds. Eddy flows and land-sea breeze circulation will affect the extent to which the western half of Taiwan is affected by long-range transport of ozone and the process of ozone pollution transmission and accumulation. In addition, we assist in handling the air quality outlook for the coming week, assist in analyzing air quality pollution incidents, and provide relevant air product models to analyze air pollution emergencies. We also produced 2 science graphics to convey correct information on air pollution policies and pollution causes to help the public understand. And, we also conducted education and training to communicate the latest information with forecasters in real time to improve operational efficiency.

英文關鍵字

ozone、 weather type、air quality