Spatial Impact and Risk Assessment for Atmospheric Arsenic Pollution from Hsinchu Science-based Industrial Park
|關鍵字:||空氣污染模式;砷化物;空間及方向性分析;健康風險;永續環境系統分析;air pollution dispersion model;arsenic;directional impact;health risk;sustainable environmental systems analysis|
In Hsinchu Science-based Industrial Park (SBIP), semiconductor and opto-electronic factories use a significant amount of chemicals with arsenic compounds in their manufacturing processes. High ambient arsenic concentration measured in few yeas ago were recently reported and attracted great attention from the public. Other than promoting non-arsenic manufacturing processes and reporting regular monitoring data, analyzing air toxic pollution distribution and assessing residential exposure and health risks are desired. The AERMOD model was thus applied in this study to establish a model to simulate spatial arsenic pollution distribution. Three methods of directional pollution level hours, directional impact area, and directional hourly maximal concentration are developed for assessing the directional impacts of the arsenic emission from SBIP on adjacent residents. The uniform removal method is applied to estimate the required percentage reductions of source pollutants for achieving several expected ambient criteria. Two risk assessment measures are then applied to estimate the residential exposure and health risks for different scenarios. This study uses two arsenic emission data sets in 2002 and 2008 to establish scenarios WA and WB, and scenario WC for both data sets is also analyzed. The pollution distributions of the three scenarios are simulated based on 2002 and 2007 meteorological data. The simulated results are significantly lower than those sampled from random monitoring at surrounding locations. The emission data sets are obviously incomplete and should be exteneded. Based on the directional impact analysis, the largest number of hours with high pollution occurs under the eastern wind direction. According to the average concentration distribution in each direction for scenario WA, the ESE wind influences the largest area, while the WSW wind influences the largest area for scenarios WB and WC. For the maximal hourly concentration distribution in each direction, except the calm wind, the areas influenced by eight wind directions such as sourth and NNW are significantly larger than those for other wind directions. For achieving the expected ambient arsenic concentration lower than 0.2ng/m3, about 80% reduction of all pollution sources is required. Since the emission data sets are incomplete, a higher removal rate is required for the complete set. Regarding the health risk, certain parts of the studied area have higher risks than those in other parts of the area.
|Appears in Collections:||Thesis|
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