107

9,255 千元

2018/07/02

2019/07/01

陳意淳

桃園市政府環境保護局

陳韋如

康廷工程顧問企業有限公司

大氣空氣

空氣品質，污染負荷，空氣污染防制

Air quality, pollution loading, air pollution control

賴連富

03-3356115#

ls3577n5t@gmail.com

本計畫期程為107年7月2日至108年7月1日，主要工作內容為綜合管理、監督及管考各項由空氣污染防制基金所編列之計畫執行品質，以達成各項管制工作之預期目標，並整合具體成效及特色成果。除確保桃園市空氣品質符合國家標準外，進而達成環保署考評良好績效。另一重點則為掌握及更新桃園市環境負荷及污染排放資料，分析境內空氣品質監測數據及探討空氣品質不良事件日污染成因，並將結果呈報環保局，據以檢討修正近程空氣污染管制策略。 本計畫分析桃園市轄內環保署一般測站，自98年至107年空氣品質不良(AQI>100)站日數，各站多呈現逐年改善趨勢。於空氣品質不良(AQI>100)站日數中，指標污染物以PM2.5佔最多數，顯示PM2.5為造成本市空品不良的主因。統計桃園市107年各項空氣污染物濃度均有改善，除PM2.5手動及自動採樣年平均值外，其餘污染物濃度均符合國家空氣品質標準。 在監督及管理各項空污防制計畫方面，本計畫每月針對各項考評指標，進行各空氣污染防制計畫執行進度及品質查核，彙整查核結果後呈報環保局並提出建議改善方案。並為確立計畫整體管制方向，於計畫期間內辦理空氣污染綜合防制教育訓練會1場次、跨局處緊急應變協商會1場次、空氣污染管制業務研商會1場次、工作實地督導稽核6場次、專家諮詢會議1場次、內部工作檢討會議3場次、北部空品區交流座談會1場次、空污防制基金管理會2場次、嚴重惡化應變兵棋推演1場次及應變平台內部協商及教育訓練會3場次，藉以提升各計畫工作績效及執行品質。 在空品不良應變方面，統計桃園市107-108年空氣品質不良(AQI>100)日數分別為54天及59天，其中空氣品質不良主要指標污染物均為PM2.5及O3。統計計畫期間已執行桃園市空氣品質不良通報及因應措施共69次，主要針對當AQI>100及AQI>150時，落實通報廠家進行自主減量及稽巡查作業。而在空氣品質改善執行成效及策略研擬工作方面，本計畫每月針對環保署自動測站及桃園市環保局所設置空氣品質測站，收集各項數據進行分析，並於每季提出空品分析專題報告，深入探討本市區域污染問題。 至於在空氣污染監測評估或調查作業上，則分別針對酸雨、中油桃煉廠及微型監測器進行調查作業；酸雨部分透過氣象資訊、空氣品質測站資料與降水化學分析結果，建立降水事件資料庫，結果顯示本市雨水中主要致酸離子NO3-與nss-SO42-濃度與懸浮微粒濃度有很高的相關性，而根據長期資料估算，理想狀態下欲改善酸雨情形(pH>5.0)，冬季降水中之硫酸根離子及硝酸根離子合併需降低25-30%，夏季則需降低10-15%。另針對中油桃煉廠，利用自動採樣方法，建立可快速分析廠區中揮發性有機物之系統，以探討廠區空氣中異味污染物來源。而於微型監測站上，現已整合56點位，並進一步透過通訊軟體，即時通報超標資訊，做為日後稽巡查參考，事件日影響流佈之基本數據，以強化環保局應變監測量能。 在媒體宣導方面，藉由大眾化媒體宣導，使民眾能即時掌握並瞭解環保局致力於各項防制工作，以打造潔淨舒適之生活環境。總計平面媒體主動報導為16版次，未來將持續辦理宣導作業，透過報紙、廣播等媒體，宣導桃園市空污防制成效，使民眾熟知環保局各項空污防制工作，並凝聚民眾共識，達到全民共同投入保護環境工作之目的。另外，本計畫於108年4月15日辦理空氣污染防制績優廠商聯合頒獎典禮，表揚優良業者及單位，積極推動空氣污染防制作為，致力減少空氣污染物，提升空氣品質，進而期許未來有更多廠商爭取空氣污染防制績優之榮譽。

空氣品質，污染負荷，空氣污染防制

107年度SIP計畫期末報告定稿全文.pdf

48MB

2020/2/25 上午 12:00:00

This project was carried out from July 2, 2017 to July 1, 2018. The primary objects were to supervise and evaluate the execution qualities of the plans supported by comprehensive management of various air pollution prevention funds, so as to achieve the expected goal of various control jobs and integrate the specific effectiveness and characteristic results. It ensured the air quality in Taoyuan City to meet the standards to further gain the excellent performances assessment given by Environmental Protection Administration(EPA). Another focus was to keep track of the environmental loading and pollution emission data of Taoyuan City, analyzed the air quality monitoring results and discussed the cause of the pollution on the event day of poor air quality. The findings could serve as reference for EPA to revise the air pollution control strategy. After the data analysis of the general monitoring stations of EPA in Taoyuan City, the proportion of poor air quality (AQI>100) has presented the trend of improvement year by year from 2009 to 2018, while the proportion of good air quality (AQI≦50) tend to rise year by year. In terms of the numbers of days of deterioration of poor air quality (AQI>100), the PM2.5 accounted for the highest proportion, i.e. the PM2.5 was the primary cause of poor air quality. In 2018, the concentrations for various air pollutants in Taoyuan City has been improved. Apart from the manual and automatic annual average of PM2.5 concentration and the 8th largest value of O3 concentration within 8 hours, the concentrations of other pollutants all met the air quality standards. In terms of the works of monitoring and managing the air pollution prevention and control plan, this project checked the execution progress and quality of the air pollution prevention and control plans monthly, according to various assessment indicators. The checking results of all plans were also summarized and presented to EPA to put forward the improvement programs. In order to establish the project’s overall control directions, the following activities would be additionally conducted during the period of the project to enhance the working performances and execution qualities of every project: one education and training meeting about the comprehensive prevention and control of air pollution, one trans-bureau emergency response negotiation meeting, one negotiation meeting about air pollution control, six times of field work supervision and checking, one expert consultation meeting, three internal work review meetings, one symposium about the exchange of air quality district in the north and two air pollution fund committee meeting, one exercise about air pollution control, and three times of control system training meeting. As for the emergency measures for poor air quality, there were respectively 54 days and 59 days for the poor air quality (AQI>100) in Taoyuan City in 2017 and 2018 according to the statistics, among which the main pollutants for poor air quality are PM2.5 and O3. According to the statistics in 2018, the notices for poor air quality in Taoyuan City and the response measures have been implemented for 69 times; in case of AQI>100 and AQI>150, the EPA informed the manufacturers to reduce the emission amount and carry out the inspection work independently. In regard to the execution effectiveness and strategy making related to air quality improvement, the data was collected monthly from automatic monitoring stations of EPA and air quality monitoring stations set by Taoyuan City on its own to conduct the analysis and the special report about the air quality analysis was proposed each quarter to deeply discuss the regional pollution problems in this city. As for the air pollution monitoring evaluation or investigating works, the works were conducted respectively in acid rain, Taoyuan refinery plant and miniature monitoring stations. In the part of acid rain, the rainfall event database was established through meteorological information, the data of air quality monitoring stations and the rainfall’s chemical analysis results. Based on the work results of this analysis, the acid rain in this city was indeed, to some degree, affected by the foreign pollutants. In the future, the rainfall event records made by this project could be used in the early-warning operations when the rainfall might be affected by foreign pollutants. The concentrations of NO3- and nss-SO42- , which were the primary acidic ions in the rainwater, were highly correlated to the concentrations of aerosols, which showed that the rainwater’s pollution degree was related closely to the air quality. In Taoyuan refinery plant, an automatic sampling method was used to establish a system for rapidly analyzing VOC. In order to explore the source of pollutants in the plant. A total of 56 point locations have been integrated in the miniature monitoring stations and the functions of cloud platform system would be further designed. In order to subsequently make an effective use of the pollutant concentrations exported by miniature monitoring stations, the concentration diffusion diagram would be upload to the cloud platform to continuously promote the platform update. In terms of media advocacy, the mass media was used for advocacy to make the public timely master and understand that EPA devotes to various kinds of prevention and control works to create a clean and comfortable environment. At the same time, the news release and advocacy manuscript have been respectively published on the website of EPA for 2 times and 14 times to help with the integration of media’s active report results, with a total of 16 editions. The advocacy work will be continuously executed in the future to publicize the air pollution prevention and control effectiveness in Taoyuan City by means of newspapers and broadcast to make the public know clearly about the air pollution prevention and control works of the EPA and build the public consensus, so that all the people could engage in the works of environmental protection. Besides, a joint award ceremony for air pollution control and excellent manufacturers has been held on April 15, 2019. To commend the excellent vendors who promoted air pollution prevention and production to reduce air pollutants and improved air quality. By awards ceremony, it was expected that more vendors would strive for the honor in the future.

Air quality, pollution loading, air pollution control