A COMPARISON OF CONDITIONAL SIMULATION, KRIGING AND TREND SURFACE ANALYSIS FOR SOIL HEAVY METAL POLLUTION PATTERN ANALYSIS

摘要

Conditional simulation, kriging and trend surface analysis techniques have been widely used in the studies of spatial features of variables because of their characteristics of explaining spatial distributions and structures of variables. The purpose of this study is to make an experiment in applying these techniques for illustrating spatial distribution and structural characteristics of heavy metals (Cu and Pb) in agricultural soil irrigated with wastewater in the eastern outlying farming areas of Beijing. Results show that with the rapid development of computer technique in recent years, both the kriging and conditional simulation techniques can play better roles in providing more precise solutions to soil pollution issue than the trend surface analysis. In comparison, kriging interpolation can be applied to find out the optimum estimation, while condition simulation is favorable for identifying the spatial variety and the fluctuation pattern of the pollutants in the soil, With feasible utilization, both these methods could be powerful tools in soil pollution study, including determining the pollution area, evaluating the pollution level and identifying the pollution sources which would contribute to successive planning and remediation processes.