Name
Abstract | ||
|---|---|---|
As important component part of urban ecological system, urban soil is of great significance to human health and urban development. Based on the concentration of primary heavy metals at the sampling sites, we analyze the stochastic and constitutive property of concentration distribution by the geostatistics. Considering the semivariance function structure, the concentration at the unsamped sites is computed using Kriging interpolation, and then the contour line of primary heavy metals is drafted so as to show directional distribution in visual form. The distribution feature of primary heavy metals and the cause of pollution are determined combined with social function at the sampling sites in this paper. Finally, an object function is established to determine the exact location of pollution resources in a wide area, and then solved by intelligence computation method. Results show that, the approach is feasible to determine the accurate coordinates of pollution sources. © 2012 IEEE. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/FSKD.2012.6234259 | FSKD |
Keywords | Field | DocType |
heavy metals contamination,intelligence computation,kriging interpolation,pollution source,semivariance function,pollution,computational modeling,optimization,social function,sampling methods,soil pollution,metals,interpolation,stochastic analysis,geostatistics,urban development,contamination,stochastic processes,objective function,sampling | Kriging,Semivariance,Soil science,Pattern recognition,Computer science,Contour line,Pollution,Sampling (statistics),Artificial intelligence,Soil contamination,Geostatistics,Topsoil | Conference |
Volume | Issue | Citations |
null | null | 0 |
PageRank | References | Authors |
0.34 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Na Wang | 1 | 7 | 11.10 |
| Qingzheng Xu | 2 | 58 | 7.89 |
| P. Li | 3 | 214 | 28.84 |