環保專案成果報告查詢系統

專案計畫編號
經費年度	110
計畫經費	3,550 千元
預算科目	空氣品質監測
專案開始日期	2021/01/26
專案結束日期	2022/04/30
專案主持人	賴信志
主辦單位	監資處
承辦人	李貞儀
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, air pollution
協同主持人
共同主持人
計畫聯絡人	黃文玲
計畫聯絡電話	06-2785123#7516
計畫聯絡信箱	winnieswr19@gmail.com

中文摘要	為了解綜觀天氣型態與空氣品質的關聯性，本計畫持續綜整每日之天氣型態，持續擴充110年迄今之查詢工具歷史資料庫，並增加污染物趨勢圖以及優化查詢功能，俾使用者快速搜索並呈現過去所綜整的資訊，提供空氣品質預報人員參考。前期研究統計98-107年颱風外圍環流及颱風影響期間，空氣污染事件日之颱風位置分布，本期計畫以此基礎建置颱風空氣品質資料庫，分析格點及各監測站的PM2.5、PM10、O3及O3,8hr濃度值，計算各網格之污染事件日數與頻率，並延續前期成果，新增108年颱風資料庫。此外亦探討臭氧空氣污染事件與天氣型態之關聯，說明春秋二季臭氧好發之綜觀氣象特色及分析典型臭氧事件日始末。另外並輔助辦理未來7日空氣品質展望、協助環保署空氣品質污染事件分析、提供AERMOD擴散模式分析空氣污染突發事件；以生動又簡單的方式，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，每月提交工作報告，與預報人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

為了解綜觀天氣型態與空氣品質的關聯性，本計畫持續綜整每日之天氣型態，持續擴充110年迄今之查詢工具歷史資料庫，並增加污染物趨勢圖以及優化查詢功能，俾使用者快速搜索並呈現過去所綜整的資訊，提供空氣品質預報人員參考。前期研究統計98-107年颱風外圍環流及颱風影響期間，空氣污染事件日之颱風位置分布，本期計畫以此基礎建置颱風空氣品質資料庫，分析格點及各監測站的PM2.5、PM10、O3及O3,8hr濃度值，計算各網格之污染事件日數與頻率，並延續前期成果，新增108年颱風資料庫。此外亦探討臭氧空氣污染事件與天氣型態之關聯，說明春秋二季臭氧好發之綜觀氣象特色及分析典型臭氧事件日始末。另外並輔助辦理未來7日空氣品質展望、協助環保署空氣品質污染事件分析、提供AERMOD擴散模式分析空氣污染突發事件；以生動又簡單的方式，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，每月提交工作報告，與預報人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	110年綜觀天氣型態及流場影響空品評析計畫-期末報告定稿(上傳).pdf	14MB		2022/5/31 上午 12:00:00

摘要	In order to understand the correlation between weather patterns and air quality, this present project continues comprehensively analyzing the daily weather patterns and expanding the historical database of the query tool from 2021 until now. Besides, it is contemporaneously added pollutant trend graphs and optimized query tool function, which helps users can quickly research and present complete information in the past as well as provide a reference for air quality forecasters. Previously, we preliminary study and statistics the distributions of typhoon location, typhoon peripheral circulation, and typhoon influence on air pollution event day with the period from 2009 to 2018. Based on that, we plan to build a typhoon air quality database which includes analyzing the PM2.5, PM10, O3, and O3,8hr concentration values of grid points and monitoring stations, calculating the number of days and frequencies of pollution events in each grid. In this phase, we also add the typhoon database in 2019 to continue the previous results. Moreover, the relationship between ozone air pollution events and the weather pattern is also discussed therefrom we can describe the overall meteorological characteristics when ozone occurs in spring and autumn together with analyzing the beginning and end of typical ozone events. In this project, we also provided a potential tool that can use in forecasting air quality for the next 7 days, assists the EPA in the analysis of air quality pollution incidents, and provides an AERMOD diffusion model to analyze air pollution emergencies. On the other hand, we have provided two graphic to transfer the correct message about the causes of air pollution to the public. We made implemented training programs to the staff of the EPA, and submitted monthly work reports, and exchanging the latest information.
英文關鍵字	ozone, weather type, air quality, air pollution

摘要

In order to understand the correlation between weather patterns and air quality, this present project continues comprehensively analyzing the daily weather patterns and expanding the historical database of the query tool from 2021 until now. Besides, it is contemporaneously added pollutant trend graphs and optimized query tool function, which helps users can quickly research and present complete information in the past as well as provide a reference for air quality forecasters. Previously, we preliminary study and statistics the distributions of typhoon location, typhoon peripheral circulation, and typhoon influence on air pollution event day with the period from 2009 to 2018. Based on that, we plan to build a typhoon air quality database which includes analyzing the PM2.5, PM10, O3, and O3,8hr concentration values of grid points and monitoring stations, calculating the number of days and frequencies of pollution events in each grid. In this phase, we also add the typhoon database in 2019 to continue the previous results. Moreover, the relationship between ozone air pollution events and the weather pattern is also discussed therefrom we can describe the overall meteorological characteristics when ozone occurs in spring and autumn together with analyzing the beginning and end of typical ozone events. In this project, we also provided a potential tool that can use in forecasting air quality for the next 7 days, assists the EPA in the analysis of air quality pollution incidents, and provides an AERMOD diffusion model to analyze air pollution emergencies. On the other hand, we have provided two graphic to transfer the correct message about the causes of air pollution to the public. We made implemented training programs to the staff of the EPA, and submitted monthly work reports, and exchanging the latest information.

英文關鍵字

ozone, weather type, air quality, air pollution