Temporal Variations and Control of Particulate Matter and Sulfur Dioxide in Industrial Area –A Case Study of the Taoyuan Industrial Site

• Main Authors: Sung-Jui Huang, 黃松瑞
• Other Authors: Moo-Been Chang
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/42653852339595448051

碩士 === 國立中央大學 === 環境工程研究所 === 101 === Due to constant emission from stationary and mobile sources, air pollution has been a major environmental issue and has received much public concern in Taoyuan County. As of the end of 2012, there were 10,720 registered manufacturing facilities in Taoyuan County, including 22 industrial parks, that impact air quality. Based on the investigation of industrial sites in 2012, the annual average concentration of suspended particle pollution, also known as “Particulate Matter” (PM10 ), is 73.69 μg/m3, which is higher than the Air Quality Standards set by Taiwan Environmental Protection Agency (65 μg/m3). This study determined the excess level of PM10 and found severe particle pollution at industrial site. In addition to data analysis and comparison at industrial site to the 2012 data from the Taiwan Air Quality Monitoring Stations by EPA (Executive Yuan), this study found that the nighttime concentrations of PM10 and SO2 are significantly higher than that of daytime. This is quite different from the results reported by EPA, stating similar concentrations of PM10 and SO2 were found in the day and nighttime. This result contradicts predictions based on the behavior of hourly average concentration and mixed layer of the atmospheric boundary evolution and diffusion between the daytime and nighttime. 3D scanning lidar system located at the industrial site of Taoyuan was used for monitoring and quantifying the particle pollution for this study. This system, with differential absorption technique and PM10 analysis, is able to locate the emission source at specific sites. This enables EPB to better enforce air control regulations. The particulate matter levels at specific B、C and E factories, which emitted excess PM10, were reduced after the lidar system started monitoring and controlling in November, 2012. In January 2013, the monthly average concentrations of PM10 and SO2 were lower than that for the corresponding month in the previous years. The higher concentration seen at nighttime also disappeared. This indicates that the air quality at investigated industrial site has been improved.