摘要
为研究北京市大兴区的重金属污染情况,加强农产品安全生产管理,在北京市大兴区布设了313个取样点,测定了土壤重金属Cu、Zn、Pb、Ni、As和Hg的含量,并充分利用空间分析和地统计分析技术对土壤重金属的空间变异性及合理取样数进行了研究。结果表明:大兴区土壤中6种主要重金属空间变异系数范围为14.43%～47.16%,其变异程度为As>Zn>Cu>Ni>Hg>Pb,且这些土壤重金属均在一定范围内存在空间相关性,空间相关距排列为Cu>Zn>Pb>Hg>As>Ni。相比于经典统计法,地统计分析和克立格插值考虑了空间结构性和随机性,可以确定更合理的采样数量。
A total of 313 sampling points were collected and the content of Cu,Zn,Pb,Ni,As and Hg was determined to investigate the heavy metal pollution situation and enhance the production management in agricultural product safety in Daxing county of Beijing.Also the spatial variability and the reasonable sampling number were investigated through the spatial analysis and the geo-statistic analysis.The results showed that the spatial variability coefficient of the determined heavy metals in the soil of researched area was 14.43%～47.16%and the variation degree was As>Zn>Cu>Ni>Hg>Pb. These heavy metals had the spatial relevance in certain scope and the space correlation is Cu>Zn>Pb>Hg>As>Ni. Compared with the classical statistics,the geology-statistical analysis and the Kriging method can take spatial structure and randomness into consideration and determine the more reasonable sampling number.
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2008年第S2期260-264,共5页
Transactions of the Chinese Society of Agricultural Engineering
基金
北京市自然科学基金(4061002)
农业部948项目(2006-G63)
关键词
空间变异性
合理取样数
经典统计法
地统计分析
克立格插值
spatial variability
reasonable sampling number
classical statistics
geology-statistical analysis
Kriging method
