田块尺度上土壤重金属污染地统计分析及评价(简报)

基金项目: 农业部“农业面源污染信息系统与监测预警”项目（农业环境监测 070405）；北京市科技创新能力项目“土壤重金属信息管理体系的研究”

Geo-statistical analysis and evaluation of soil heavy metal pollution on a field scale

1.
National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
2.
Beijing Research Center for Agrifood Testing and Farmland Monitoring, Beijing 100097, China

摘要: 该文以北京市某生态农场的大田为例，应用地统计学分析方法进行了变异函数的计算和模型拟合，建立了计算土壤重金属含量的最适空间插值理论模型，随后运用克立金估值方法绘制了田块尺度上土壤重金属的空间分布图，并与土壤重金属污染标准进行比较，土壤重金属污染评价结果表明：研究范围内的土壤重金属含量较低，未发现污染。该研究结果表明地统计学分析方法可为田块尺度上的农业优化管理提供决策支持。
- 重金属含量 /
- 土壤污染 /
- 地统计学 /
- 空间模型 /
- 克里金
Abstract: Taking three fields of ecological farm in Beijing as a case, using the geo-statistics method, the variogram was calculated, and the fitting model of soil heavy metals on field scale was established. As a result, the metal spatial distribution map was generated by using Kriging methods. Compared with the critical value of States Environmental Standard, the evaluation result of soil heavy metal pollution shows that the content of soil heavy metal is relative lower, there is no pollution can be found in the farm. The research results show that geo-statistics method may be a useful tool for decision-making support of agricultural management on the field scale.
- heavy metal content /
- soil pollution /
- geo-statistics /
- spatial model /
- Kriging