Adaptive Sampling Based on Cumulative Distribution Function of Order Statistics with Kriging for Delineating Heavy
Metal Contaminated Soils. (S11-lee773854-poster)
Authors:
D.Y. Lee* - National Taiwan Univ.
Y.L. Teng - National Taiwan Univ.
K.W. Juang - MingDao Univ.
Abstract:
It is essential to determine the spatial distribution of environmental pollutants in contaminated sites before making a remediation plan. It is especially important to accurately classify ¡§hazardous¡¨ or
¡§non-hazardous¡¨ areas based on the threshold value for remediation. Although the spatial distribution of pollutants can be estimated by using kriging, there is high probability of misclassification in areas where pollutant concentrations are close to the threshold value because of errors of estimation. In this study, an adaptive sampling based on the cumulative distribution function of order statistics (CDFOS) was proposed to reduce the chance of misclassification of ¡§hazardous¡¨ or ¡§non-hazardous¡¨ areas in contaminated sites. In this proposed method, the pollutant concentration in each sampling location is transformed into CDFOS, representing the probability of pollutant concentration being lower than the cutoff value. For reducing the chance of misclassification, the adaptive sampling is proposed to do additional sampling from the areas, where the pollutant concentrations, estimated by kriging using the samples from the first sampling, are in a concentration range corresponding to a specified range of CDFOS (for example, 0.4 to 0.6). The results of this study show that the proposed adaptive sampling method is suitable for delineating ¡§hazardous¡¨areas in contaminated sites for remediation.
Speaker Information: Dar-Yuan Lee, National Taiwan Univ., Dept. of Agricultural Chemistry, National Taiwan U, Taipei, 106; Phone: 886-2-23630231 EXt. 2479; E-mail: [email protected]
Session Information: Tuesday, November 4, 2003, 4:00 PM-6:00 PM Presentation Start: 4:00 PM (Poster Board Number: 1303)
Keywords: Geostatistics; Soil contamination; Heavy metal; Soil sampling design