利用客觀分析建立台灣地區網格化空氣品質背景濃度

Abstract

本研究以CMAQ網格模式所模擬的結果，並利用環保署一般空氣品質監測站監測資料為校正的依據進行客觀分析，修正網格模式所模擬之結果，重新計算每一個網格點濃度，進而建立網格化空氣品質背景濃度，後續以作為環評審查基礎，最後進行模式驗證，移除單一測站來進行性能評估，比較反距離權重、反距離平方權重、Barnes權重對於懸浮微粒(PM10)、二氧化氮(NO2)、二氧化硫(SO2)、臭氧(O3)、細懸浮微粒(PM2.5)之適用性。 結果顯示，PM10、O3、PM2.5對於反距離平方權重具有較好的模擬結果，而NO2、SO2對於反距離權重具有較好的模擬結果。整體來說，對於各空氣污染物的適用性則是反距離平方權重相對較好。

The focus of this research is using the monitoring data of Taiwan EPA and the simulation data of CMAQ air quality model to calculate the ratios, and using the ratios to compute the background concentration on every grid in Taiwan by objective analysis. This background concentration will be the basis of Environmental Impact Assessment (EIA). At last, removing the air quality station to calculate the benchmark for verifying the model and comparing the suitability of different weighting function in objective analysis for every air pollutant (PM10, NO2, SO2, O3, PM2.5). The result of research is the inverse distance square weighting has a good effect in simulating the background concentration for PM10, O3, PM2.5, and the inverse distance weighting has a good effect in simulating the background concentration for NO2, SO2. Overall, the inverse distance square weighting is better than other weighting function in simulating the background concentration.