N1137

107

14,600 千元

2018/02/01

2018/12/31

張文旭

臺中市政府環境保護局

吳淑惠

祥威環境科技股份有限公司

環境監測及檢測、大氣空氣

空氣品質監測、操作維護、移動式監測車、交通空品監測車、噪音監測、微型感測器

the air quality monitoring, operation and maintance, mobile air quality monitoring vehicle, traffic air quality monitoring vehicle, noise monitoring, Miniature sensor,

許安佩

張文旭

04-23167146#

zupa@leder.com.tw

本計畫執行期間為107年2月1日至107年12月31日，主要工作內容包括空氣品質人工測站之採樣分析與保養維護、自動測站之定期維護、移動式空氣品質監測車操作維護、交通空品監測車操作維護、電子看板維護、固定式噪音監測站校正維護、移動式噪音測站監測、噪音管制系統維護與噪音相關報表提交、教育訓練、空氣品質例行通報作業、微型感測器監測數據追蹤、維護空氣品質監測網站正常運作等。 空氣品質人工測站方面，每月針對臺中市11座人工測站進行1次落塵採樣與分析、2次TSP採樣與分析及維護保養，每次採樣前後執行1次流量單點校正，每季執行1次流量多點校正，目前各測站儀器設備狀況尚能正常運轉。107年1～12月平均測值與106年同期比較，各測站TSP幾何平均值均低於106年同期。各站107年迄今歷次TSP濃度介於9～135μg/m3之間，均符合環保署空氣品質標準(250μg/m3)。季節變化以夏季TSP測值較低，其餘季節則差異不大，TSP分析之成份中以硫酸鹽及硝酸鹽之比例較高。107年1～12月臺中市落塵平均為2.14公噸/平方公里/月，分級屬於極輕微污染，略高於去年同期 (1.84公噸/平方公里/月)，其中梧棲衛生所人工測站106年下半年起落塵明顯上升，尤其冬季時更明顯，應與測站附近有許多大型裸露地有關。 在空氣品質自動測站部份，經由定期之每週、月、季、半年與年度維護保養，各測站各監測儀器皆能正常運作，各測站各月份之平均資料可用率皆達93%以上。4月時春社公園電子看板因電源供應器故障導致無法顯示，故委託看板廠商更新電源供應器，使其可正常顯示。 在空品自動測站數據日夜變化方面，CO與NO2受移動污染源影響，於上下班時段濃度會較高，尤其以大里測站及忠明測站較明顯，O3則是受到光化作用影響，於中午時段濃度較高，以大里測站與太平測站中午時段濃度較高。在季節變化方面，大部分污染物濃度以夏季較低，冬、春較高，其原因與臺灣的天氣型態有關，夏季颱風多、熱對流旺盛，擴散條件佳，因此污染物不易累積。O3於3~4月(春季)及9~10月(秋季)期間測值較高，呈現O3典型之季節變化。 在空品自動測站測值長期趨勢方面，經由歷年各種管制措施之執行，各測站SO2濃度長期則有逐年下降趨勢。NO2整體濃度以忠明測站、大里測站、霧峰測站、烏日測站較高，主要受鄰近測站之移動污染源影響，長期大致呈現微幅下降趨勢。臺中市大部分測站O3濃度於105年後呈現微幅上升情形，與全國其他縣市趨勢相同。PM10各站濃度長期呈現些微下降趨勢，顯示歷年之各項粒狀物管制工作已見成效。PM2.5之變化趨勢與PM10相似，長期亦呈現微幅下降趨勢。 依據環保署豐原、沙鹿、大里、忠明、西屯測站之監測資料，107年至12月底止臺中市之空氣品質不良率（AQI＞100）為15.9%，為中部空品區最低者(彰化縣AQI>100比例為18.4%，南投縣AQI>100比例為24.5%)，而在全國22縣市中則排名第12名(第1名臺東縣AQI>100比例為0.3%，第22名雲林縣AQI>100比例為33.8%)。而統計臺中市所有空氣品質監測站（含環保署、環保局、臺電測站）之監測資料，臺中市山、海、屯、市四區則以市區之空氣品質不良率（18.3%）最高，其次依序為海區(14.9%)、屯區（13.4%）次之，山區（12.6%）最低。 在移動式空氣品質監測車方面，定期執行移動式空品監測車監測設備維護工作，並依據民眾陳情及環保局指示進行空氣品質監測，截至12月止已完成8處次之監測。監測完畢之後，繳交定期監測報告及進階分析報告，除提交監測數據外，亦針對監測數據進行解析，彙整監測地點附近可能污染源，提供其他計畫執行稽查之參考。移動式空氣品質監測車除執行空氣品質監測之外，亦協助分析相關單位採集之樣品共6件。 在移動式交通空氣品質監測車方面，經由定期之每週、雙週、季維護保養，使交通空品監測車內各監測儀器皆能正常運作，並依據環保局指示進行交通空氣品質監測，於107年1月1日至107年12月31日在西屯區臺灣大道東海大學執行監測作業，預計此地點會持續監測至年底。監測任務結束後15日內提交監測數據初步分析報告，監測結束後30日內提進階分析報告，數據相關分析結果提供環保局研擬空氣污染管制策略，以達到減少交通污染源產生之空氣污染。 在噪音監測方面，固定式噪音監測站之校正維護作業及移動式噪音測站監測皆依預定進度執行，固定噪音站之資料可用率均達93%以上。固定式噪音測站之豐原中興路測站目前尚無不合格情形，豐原中興路測站為交通噪音監測站，其測值較為穩定，測值受交通流量影響大。在移動式噪音測站方面，道路交通噪音之測值每季均符合噪音管制標準。環境音量測站則因管制標準較嚴格，噪音值容易受自然或人為活動之影響，偶爾部分時段會有不合格之情形。在軟體操作維護與資料更新部份，每季均提交季報表並更新「噪音管制系統」之監測資料庫。

空氣品質監測、操作維護、移動式監測車、交通空品監測車、噪音監測、微型感測器

107年臺中市環境品質監測站(含移動式監測車)操作維護工作計畫_期末報告摘要.pdf

0MB

期末報告摘要

2019/2/15 上午 12:00:00

This project was implemented from Feb. 1, 2018 to Dec. 31, 2018. All tasks defined in the Environmental Protection Bureau's contract had been completed including the sampling analysis, maintenance of the manual operation air monitoring stations, regular maintenance of auto air monitoring stations, calibration and maintenance of fixed noise monitoring stations, noise monitoring of mobile noise stations, regular maintenance of electronic billboard, submit all kinds of reports, training, air quality routine notification, air sensor monitoring data tracking, et cetera. In the section of Manual Operation Air Monitoring Stations, there were monthly sampling, analysis of dust fall, monthly one-point flow rate calibration, every half months TSP sampling analysis and maintenance, quarterly multiple-points flow rate calibration. All equipment in Manual Operation Air Monitoring Stations are in good conditions. In contrast with year 2017, the average concentration of TSP in year 2018 was lower than year 2017. The TSP concentration between 9～135μg/m3 was meant that all stations meet the Environmental Protection Administration air quality standard as 250μg/m3 in 2018. The concentration of TSP in winter was higher than in summer. There was a declining trend for long term as TSP, nitrate and sulfate have higher proportions of TSP's ingredients. The dust fall in Taichung City in 2018 was equally 2.14 ton/square kilometer/month, the graduation was extremely slightly pollution and higher comparing to last year as 1.84 ton/square kilometer/month. In the section of Auto Monitoring Stations, all measurement items were functioning well under weekly, monthly, quarterly, semi-annual and annual maintenance scheme. The data achieved above 93% of capture rate. In April, the Chunshe Park electronic billboard could not be displayed due to a power supply malfunction, so the electronic billboard manufacturer was commissioned to replace the power supply so that it could display normally. In automatic air quality station, the data was affected between day and night. CO and NO2 were affected by mobile sources of pollution of higher concentration during commuting time, particularly Dali and Zhongming station was obvious; O3 was the result of photochemical at noon time with higher concentration in Dali and Daiping station. In terms of seasonal changing, most pollutants in summer have lower concentration, higher in winter and spring; its causes by typical weather patterns in Taiwan such as Typhoons in summer, strong heat convection, good diffusion conditions so the pollutants is not easy for accumulation. The values of O3 were between Mar. to Apr. (spring) and from Sep. to Oct. (autumn) was higher to showing a typical seasonal variation. In automatic station with measured value of long-term trends, performing a variety of controlled measurement over the years, so SO2 concentration was lower in recent years. NO2 concentration in Zhongming, Dali, Wufeng, and Wuri station were higher due to mobile sources of pollution; the long-term trend was roughly rendered decline. Most stations of O3 concentration were roughly slight rise in long-term trend. PM10 concentrations were showing a slight downward in long-term trend so it meant that efforts over the years for particle control has the achievement. PM2.5 trend is similar to the PM10 in long-term trend that showed a slight downward. In 2018, the ratio with poor air quality (AQI>100) in Fengyuan, Shalu, Dali, Zhongming and Xitun revealing monitoring data from Taiwan Environmental Protection Administration report. The monitoring data is 15.9% in Taichung City from Jan. to Dec. .The higher one was Nantou County standing for 24.5%, followed by Changhua County (18.4%)and Taichung City(15.9%). Among Shan, Hai, Tun, and Shih, four districts of Taichung City; Shih district had the highest ratio with AQI>100（18.3％）, followed by Hai (14.9%), Tun (13.4%) and Shan (12.6%). In the mobile air quality monitoring van, monitoring regularly the implementation of equipment maintenance; air quality monitoring was based on public petitions and EPP instruction. It has been completed 8 monitoring until end of Dec.. After monitoring is complete, in addition to submitting the monitoring data and conducting for monitoring data analysis, aggregated monitoring locations near sources may provide reference implementation of audit. Monthly monitoring data of the van was achieved more than 90% of capture rate in line with the contract requirements. Mobile air quality monitoring van not only implement air quality monitoring, but also assist the relevant units of the sample collection for total 6 analysis. In the section of Noise Monitoring, the regular calibration and maintenance of Fixed Noise Monitoring Stations were completed according to the contract. The calibration report and monitoring data were submitted monthly and the data validity was above 93%. In the section of the Noise Monitoring of Mobile Noise Stations, that took twice quarterly monitoring tests at each spot, and according to predetermined progress execution. The measured value of traffic noise monitoring station is relatively stable, and is greatly affected by traffic flow. The environmental volume station is subject to stricter control standards, and the measured value is easily affected by natural or human activities, and occasionally some cases may fail. In the section of the Software Operation/Maintenance and Data Update, updating the database of the Noise Control Information System quarterly.

the air quality monitoring, operation and maintance, mobile air quality monitoring vehicle, traffic air quality monitoring vehicle, noise monitoring, Miniature sensor,