Soil Heavy Metal Pollution Divide Degree Discussion and Geostatistics Analysis

• Main Authors: Ching-Hung Yen, 嚴慶宏
• Other Authors: 李育明
• Format: Others
• Language: zh-TW
• Published: 2002
• Online Access: http://ndltd.ncl.edu.tw/handle/71275517292467585120

碩士 === 國立臺北大學 === 資源管理研究所碩士在職專班 === 90 === The spatial soil contamination distribution is an important reference of finding scope and square measure of polluted sites. For recent years, Kriging method in Geostatistics is often used in estimation and location of spatial soil contamination distribution. We can use GIS to draw dangerous polluted sites or divide them into monitoring, control and remedy degrees by statutory heavy metal concentration monitoring, control and remediation standards. When analyzing spatial soil heavy metal distribution and estimating greater than monitoring criteria or remediation criteria, one of geostatistical analysis methods is non-linear disjunctive Kriging method. The purpose of this research is a discussion about how to use disjunctive Kriging method on finding the scope of soil polluted sites. We use ChangHua farm soil pollutant data, heavy metals Cr and Zn, which were investigated by government from 1992 to 1998 as analysis data. We found that disjunctive Kriging method can exclude variability and high bias which might interfere with spatial analysis and estimate Cr and Zn spatial concentration distribution on specific sites in ChangHua. Using this method, we finally get several spatial models of spatial probability distribution to simulate actual polluted farms which are probably polluted by Cr or Zn (above the third of level soil heavy metal concentration standards), polluted above the fifth level of soil heavy metal concentration standards (Cr > 16 mg/kg, Zn > 80 mg/kg) or prior remediation farms (Cr > 40 mg/kg, Zn > 300 mg/kg). Therefore, disjunctive Kriging method is an important reference tool in finding polluted area scope and related policy design and management.