摘要
利用地统计学分析方法和GIS技术对浙江省诸暨市浬浦铜矿区4号坑道附近土壤6种重金属含量空间变异性进行了研究。结果表明,Pb、As、Cr、Cu、Zn和Ni含量服从对数正态分布,Pb、As、Cu、Zn和Ni含量伴随污染最多,相关性高;Cr含量则主要受成土因素影响;采用Kriging内插法对未测点重金属进行最优估计,所绘制的Kriging插值图反映了受污染及地质因素影响,研究区内土壤重金属具有明显的空间分布规律;基于GIS的地统计分析方法可以较好地反映矿区重金属污染的空间变异特征。
The spatial variability characteristics of six heavy metals,Pb, As, Cr, Cu, Zn and Ni in soil of Zhuji Lipu copper mining area was studied using geostatistics combined with GIS. The statistical analysis showed that six heavy metals' contents were lognormal distribution. It was obvious that Pb, As, Cu, Zn and Ni were correlated and most of them in the soil came with pollutants. The accumulation of Cr was unique: its geometric mean was vely close to the value of the control samples. Its content was mainly influenced by the soil factors. The Kriging method was applied to estimate the unobserved points, and the Kriging interpolation maps reflected that under the influence of pollution and Geological factors, the heavy metals showed significant spatial distribution. The research indicated that geostatistics method based on GIS could analyze the spatial variabilities of the heavy metal in mining area accurately. Overall, the content of heavy metals showed a trend that high-value areas concentrated on the middle of both the north and south sides. And the content of copper was obvious higher in the south than in the north. The different ways of land use was the main reason for the distribution trend of Pb, As, Cr, Cu, Zn and Ni's content. Besides, that the terrain of four terraces tilted to the middle and the broad irrigation accident occurred in the 4th trench in the south of sampling area were also the reasons.
出处
《农业环境科学学报》
CAS
CSCD
北大核心
2008年第6期2178-2182,共5页
Journal of Agro-Environment Science
基金
江苏省环保科技项目(2004022)
浙江省自然科学基金资助项目(Y504250)
关键词
重金属
空间变异
GIS
地统计学
heavy metal
spatial variability
GIS
geostatistics