環保專案成果報告查詢系統

專案計畫編號	P0422
經費年度	103
計畫經費	8,320 千元
專案開始日期	2014/01/01
專案結束日期	2014/12/31
專案主持人	施桂英
主辦單位	臺中市政府環境保護局
承辦人	趙重周
執行單位	台灣曼寧工程顧問股份有限公司
專案分類	大氣空氣
中文關鍵字	空氣品質，考評，空氣污染防制計畫，模式模擬
英文關鍵字	air quality, evaluation, air pollution control plan, model simulation
協同主持人	白耿全
共同主持人
計畫聯絡人	施桂英
計畫聯絡電話	04-23293771#222
計畫聯絡信箱	sunny@twml.com.tw

中文摘要	本計畫為政策規劃及檢討之核心上位計畫，103年主要工作為掌握環境背景資料、排放量、環境負荷評析本市空氣品質；研擬104-105年版空氣污染防制計畫；研擬本市103-110年符合空氣品質逐年改善目標；辦理模式模擬；協助環保署及執行環保局考核作業；相關會議辦理；各式文件編訂及租賃空氣污染管制計畫業務管理系統。計畫簽約金額832萬元，契約規定專任人力含計畫經理、專案工程師6位，非專任人力為計畫主持人及協同主持人。臺中市102年執行環保署考評工作績效持續榮獲直轄市「特優」殊榮及獎金100萬元，103年計畫執行重點包括協助訂定「臺中巿溫室氣體排放源管理及減量辦法（草案）」；規劃研訂「臺中巿總量管制計畫書（初稿）」，；修訂「臺中巿空氣污染防制計畫」規劃109年全國細懸浮微粒（PM2.5）濃度達成年平均標準15μｇ／ｍ3之目標減量規劃；推動103年17項計畫考核作業，如環保署報表查核、考核成績統計；完成91-102年空氣品質分析報告，及與氣象因素關係統計，空氣品質良好比例呈現增加趨勢，不良比例明顯減少，不良指標物以臭氧為主，其次為懸浮微粒。（含空氣品質不良與天氣類型）；模式模擬結果顯示，大陸及其他縣市等背景污染源貢獻約19.5μｇ／ｍ3之PM2.5濃度佔比最高，以市區PM2.5濃度最高之大里站來說，背景濃度佔比高達63％，因此背景的改善影響重大。本地原生性PM2.5之貢獻約10.1μｇ／ｍ3次之，佔比約32％。
中文關鍵字	空氣品質，考評，空氣污染防制計畫，模式模擬

中文摘要

本計畫為政策規劃及檢討之核心上位計畫，103年主要工作為掌握環境背景資料、排放量、環境負荷評析本市空氣品質；研擬104-105年版空氣污染防制計畫；研擬本市103-110年符合空氣品質逐年改善目標；辦理模式模擬；協助環保署及執行環保局考核作業；相關會議辦理；各式文件編訂及租賃空氣污染管制計畫業務管理系統。計畫簽約金額832萬元，契約規定專任人力含計畫經理、專案工程師6位，非專任人力為計畫主持人及協同主持人。臺中市102年執行環保署考評工作績效持續榮獲直轄市「特優」殊榮及獎金100萬元，103年計畫執行重點包括協助訂定「臺中巿溫室氣體排放源管理及減量辦法（草案）」；規劃研訂「臺中巿總量管制計畫書（初稿）」，；修訂「臺中巿空氣污染防制計畫」規劃109年全國細懸浮微粒（PM2.5）濃度達成年平均標準15μｇ／ｍ3之目標減量規劃；推動103年17項計畫考核作業，如環保署報表查核、考核成績統計；完成91-102年空氣品質分析報告，及與氣象因素關係統計，空氣品質良好比例呈現增加趨勢，不良比例明顯減少，不良指標物以臭氧為主，其次為懸浮微粒。（含空氣品質不良與天氣類型）；模式模擬結果顯示，大陸及其他縣市等背景污染源貢獻約19.5μｇ／ｍ3之PM2.5濃度佔比最高，以市區PM2.5濃度最高之大里站來說，背景濃度佔比高達63％，因此背景的改善影響重大。本地原生性PM2.5之貢獻約10.1μｇ／ｍ3次之，佔比約32％。

中文關鍵字

空氣品質，考評，空氣污染防制計畫，模式模擬

類型	檔名	檔案大小	說明	最新版公開日期
期末報告	103年臺中市空氣品質維護綜合管理計畫期末報告(定稿本).pdf	25MB	103年臺中市空氣品質維護綜合管理計畫期末報告(定稿本)	2015/4/1 上午 12:00:00

摘要	This project is a master project for policy planning and review. Tasks of 2014 are chiefly to comprehend background information of environment, emissions, assessment of environmental loading, and air quality in the City; to draw up the 2015-2016 version of air pollution control plan; to conduct model simulation; to assist EPA and execute evaluation of EPB; to hold meetings; to compile documents and to lease air pollution control management system. The Project is signed at an amount of NT$8.32 million; it specifies dedicated personnel that include a project manager, six engineers, and non-dedicated personnel, including project conductor and co-conductors. Taichung City won another “Excellence” award among special municipalities and NT$1 million of prize money in its execution of 2013 EPA performance evaluation. The focuses of 2014 project include the assistance in establishing the “regulations on managing and reducing emission sources of greenhouse gases in Taichung City (draft)”. The focuses also include the drawing up of “Plan of air pollution emission ceiling in Taichung City (draft)”; the revision of the “2015-2016 version of air pollution control plan in Taichung City” and subsequent planning on the reduction plan aiming to meet the average standard of 15 µg/m3 for national concentration of fine particulates (PM2.5) in 2020 as EPA conceives. Also included are to carry out 17 evaluations in 2014, such as EPA report checking and statistic work of scores; to complete air quality analysis report and the weather-related statistics (including poor air quality and weather patterns) for 2002 – 2013. The ratio of pollutant standards index at good level increases and unhealthful level decreases obviously. The major air pollutant is O3 and PM2.5 is next. The results of model simulation show contribution of background PM2.5 concentration is 19.5 μg/m3 from China and other counties. The background PM2.5 concentration contributes about 63% in Dali air quality monitoring station highest PM2.5 concentration in Taichung urban area. The secondary contribution source is local primary PM2.5 about 10.1μg/m3 (about 32%).
英文關鍵字	air quality, evaluation, air pollution control plan, model simulation

摘要

This project is a master project for policy planning and review. Tasks of 2014 are chiefly to comprehend background information of environment, emissions, assessment of environmental loading, and air quality in the City; to draw up the 2015-2016 version of air pollution control plan; to conduct model simulation; to assist EPA and execute evaluation of EPB; to hold meetings; to compile documents and to lease air pollution control management system. The Project is signed at an amount of NT$8.32 million; it specifies dedicated personnel that include a project manager, six engineers, and non-dedicated personnel, including project conductor and co-conductors. Taichung City won another “Excellence” award among special municipalities and NT$1 million of prize money in its execution of 2013 EPA performance evaluation. The focuses of 2014 project include the assistance in establishing the “regulations on managing and reducing emission sources of greenhouse gases in Taichung City (draft)”. The focuses also include the drawing up of “Plan of air pollution emission ceiling in Taichung City (draft)”; the revision of the “2015-2016 version of air pollution control plan in Taichung City” and subsequent planning on the reduction plan aiming to meet the average standard of 15 µg/m3 for national concentration of fine particulates (PM2.5) in 2020 as EPA conceives. Also included are to carry out 17 evaluations in 2014, such as EPA report checking and statistic work of scores; to complete air quality analysis report and the weather-related statistics (including poor air quality and weather patterns) for 2002 – 2013. The ratio of pollutant standards index at good level increases and unhealthful level decreases obviously. The major air pollutant is O3 and PM2.5 is next. The results of model simulation show contribution of background PM2.5 concentration is 19.5 μg/m3 from China and other counties. The background PM2.5 concentration contributes about 63% in Dali air quality monitoring station highest PM2.5 concentration in Taichung urban area. The secondary contribution source is local primary PM2.5 about 10.1μg/m3 (about 32%).

英文關鍵字

air quality, evaluation, air pollution control plan, model simulation