摘要
论述了地统计学原理、地统计学的适用范围.并以广东省惠州市为例,采用地统计方法进行了土壤重金属空间变异分析、土壤重金属可视化表达和重金属污染评价.结果表明:(1)研究区锌(Zn)、铅(Pb)含量属中等程度的空间相关,结构性因素和随机性因素共同削弱了锌(Zn)、铅(Pb),特别是锌(Zn)的空间相关性;铅(Pb)的块金值(C0)较大,局部的污染造成了铅(Pb)的大量聚集;铜(Cu)属空间弱相关,其含量主要受土壤母质的影响.(2)研究区铜(Cu)、锌(Zn)、铅(Pb)、镉(Cd)都表现出连续分布的特点.其中,铜(Cu)的空间结构部分为一次趋势面,西北角上铜(Cu)元素的含量较高,东南角铜(Cu)元素的含量处于低值状态,中部有明显的中值带;锌(Zn)、铅(Pb)含量的起伏变化较大,局部的高值、低值区域分布较多;镉(Cd)表现为岛状分布,并有零星高值分布.
This paper discusses the principles of geostatistics and the scope of application. Take the city of huizhou in the Guangdong Provice for example, geostatistics is adopted in the space variability analysis, visualization and contamination assessment for heavy metal. The results indicate: (1) The content of Zn, Pb shows the medium space correlation, and the structural factors and randomness factors jointly weak the space correlation of Zn, Pb; Nugget (C0) of Pb is greater, local pollution causes the gather of Pb; Cu shows little space correlation, it is affected by soil quality; (2) Cu, Zn, Pb and Cd in study area display continuous distribution characteristics. Spatial structure of Cu shows a trend surface, the content of Cu in the northwest is higher than the one in the southeast, there is a middle value in the middle part; the content of Zn, Pb is larger changes; the content of Cd shows the island distribution and there are high values in some areas.
出处
《矿业工程研究》
2011年第1期65-70,共6页
Mineral Engineering Research
基金
中国环境科学研究院土壤环境质量信息管理系统建设资助项目(D10870)
关键词
重金属
地统计学
空间变异
半方差函数
克里克插值
heavy metal
geostatistics
spatial variability
semi-variance function
kriging