利用地理資訊系統評估台南安順污染廠址周圍之土壤污染

Identification of Soil Contamination in AnShen Using a Geographic Information System

10.6288/TJPH2006-25-05-05

江博煌(Po-Huang Chiang)；謝顯堂(Dennis H Hsieh)；陳筱蕙(Hsiao-Hui Chen)；詹大千(Ta-Chien Chan)；劉德明(De-Ming Liou)；溫啟邦(Chi-Pang Wen)；陳筱蕾(Hsiao-Lei Chen)；毛義方(I-Fang Mao)

地理資訊系統 ； 空間分析 ； 土壤污染 ； 克利金法 ； Geographic Information System ； Spatial Analysis ； Soil Contamination ； Kriging

台灣公共衛生雜誌

25卷5期（2006 / 10 / 01）

363 - 371

繁體中文

目標：台南安順地區土壤被嚴重污染，主要的污染源包括戴奧辛、汞及五氯酚(PCP)。本研究利用地理資訊系統的空間插值法分析該地區之土壤及魚塭底泥採樣資料，並預測在安順廠區附近戴奧辛及汞的污染範圍及嚴重程度。方法：本研究是利用檢測不同克利金法(Kriging)以選擇最佳的模式，最佳模式之選取是以最小標準預測誤差(SPE, Standardized Prediction Error)及最小均方根標準誤差(RMSS, Root Mean Square Standardized Error)做為檢驗之標準。結果：基於上述之方法，所選取出來的最佳預測模型分別為：戴奧辛－通用克利金球面模型(Dioxin-Universal Kriging spherical model)、汞－一般克利金指數模型(Mercury - Ordinary Kriging exponential model)。結論：研究結果與環境保護署之檢測資料相符，但由此研究提供更多的訊息以利政府迅速清理污染地區之參考。更多的資料及更好的GIS方法會得到更佳的預測結果。

In a ”superfund site” in Tainan City, Taiwan, soils are heavily polluted. Major pollutants include pentachlorophenol, dioxin, and mercury. The current study used a geographic information system (GIS) spatial interpolation method to analyze soil and sediment samples in this area and estimate the range and severity of pollution in areas in the An-Shun ”superfund site” with respect to dioxin and mercury. Methods: Different Kriging methods were used to select the best model, based on the smallest standardized prediction (SPE) and root mean square standardized (RMSS) errors. Results: The Universal Kriging with Spherical and the Ordinary Kriging with Exponential models were shown to be the best models for estimating dioxin and mercury levels, respectively. Discussion: Our results confirmed the monitoring data generated by the Taiwan EPA and provide additional information to aid in targeting areas in need of immediate clean-up action. Better simulation results are expected as more data and better GIS methodologies become available.

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