This project was implemented from Jan. 12, 2016 to Dec. 31, 2016. 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, evaluation the location of air quality stations and deliberation, 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 2015, the average concentration of TSP in year 2016 was lower than year 2015. The TSP concentration between 10～120μg/m3 was meant that all stations meet the Environmental Protection Administration air quality standard as 250μg/m3 in 2016. 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 2016 was equally 1.89 ton/square kilometer/month, the graduation was extremely slightly pollute and lower comparing to last year as 3.85 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. For the portion of hardware repair, the electronic meter was loose in Dajia Station but engineering company has been assigned to repair it; the door of cylinder chamber was blown off but the company has been commissioned to fix it by welding. The older and heavy dust fallout gantry of manuel stations in Beishin middle school was replaced and lifted off for the new dust fall gantry and camet base due to security consideration. In precision machinery park, the display module of billboard was damaged but the company has been commissioned to renew the module.
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 of the summer have lower pollutant concentrations, 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, SO2 in Taipower's Wuci and Longjing stations were higher concentrations, performing a variety of controlled measurement over the years so SO2 concentration was lower in recent years. NO2 concentration in Zhongming, Dali, and Wufeng station were higher due to mobile sources of pollution; the long-term trend was roughly rendered flat, and Fengyuan station was relocated by the Health Board to Fengyuan high school, NO2 concentration dropped in the case. Most stations of O3 concentration were roughly unchanged 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 2016, the ratio with PSI (Pollutant Standards Index) in Fengyuan, Shalu, Tali, Zhongming, Xitun revealing monitoring data from Taiwan Environmental Protection Administration report. The monitoring data is 0.78% in Taichung City from Jan. to Nov. .The higher one was Taichung City standing for 0.78%, followed by Nantou County and Changhua (0.3%). Among Shan, Hai, and Tun, three districts of Taichung City; Shan district had the highest ratio with PSI（0.67％）, followed by Tun (0.55%) and Hai (0.35%) .
In the mobile air quality monitoring van, monitoring regularly the implementation of equipment maintenance; based on public petitions and EPA air quality monitoring instruction. It has been completed 18 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 planned 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 43 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. In the section of the Fixed Noise Monitoring Station of Second type of stations has higher rate of failure but the Mobile Noise Monitoring Stations were found any failures. Also, in the section of the Software Operation/Maintenance and Data Update, apart from submitting the self- evaluation forms and updating the database of the Noise Control Information System monthly, it provided Environmental Protection Bureau with the assistance of calculating and uploading the self-evaluation results to Environmental Protection Bureau's Noise Control Information System quarterly.
