湖南典型矿区耕地土壤重金属空间特征研究  

Spatial Characteristics of Heavy Metal Pollution in Cultivated Soil of Typical Mining Area in Hunan Province

作　　者：周俊驰[1] 刘孝利[1] 雷鸣[1] 叶长城[1] 铁柏清[1] 

机构地区：[1]湖南农业大学资源环境学院,湖南长沙410128

出　　处：《地理空间信息》2018年第8期90-94,共5页Geospatial Information

基　　金：农业部财政部专项(20160606;20160418);国家科技支撑计划(2015BAD05B02-07);中南工矿区镉砷镍超标农田安全利用技术集成与示范(2015BAD05B02);湖南省重点研发计划(2015NK3015)

摘　　要：运用GS+及GIS技术,对茶陵县耕地土壤中Cd、Cr、Pb、As、Hg的含量进行了特定阈值的条件概率空间分布特征研究。结果显示,该区耕地土壤Cd超标最为严重,其余4种重金属元素污染较轻,其中Cd、Pb、As含量的空间变异性较强。重金属Cd、Cr、Pb、As、Hg监测值的指示变异函数最佳拟合模型全都为指数模型,Cd、Pb、As和Hg的空间自相关性较强,Cr体现为中等强度的空间相关性。茶陵县耕地土壤Cd污染高风险区域位于八团乡、高垅镇以及平水镇,Cr污染高风险区域位于潞水镇、平水镇;Pb污染高风险区域位于平水镇、七地乡、八团乡、高垅镇、尧水乡以及严塘镇,As污染高风险区域位于高垅镇、桃坑乡、严塘镇以及平水镇;Hg污染高风险区集中在平水镇和秩堂乡。研究结果可为研究区域的重金属污染综合防控和农业安全生产布局提供科学依据。In this paper, we used GS+ and GIS techniques to study the spatial distribution of Cd, Cr, Pb, As and Hg contents in cultivated soils of Chaling County. The results show that soil Cd exceeds the standard most seriously, while the other four heavy metals are less polluted, and the spatial variability of Cd, Pb and As are strong. The best fitting models of Cd, Pb, As, Hg and Cd are the exponential models, the spatial autocorrelations of Cd, Pb, As and Hg are strong, and Cr shows moderate spatial correlation. The high risk areas of Cd pollution in Chaling County are located in Batuan town, Gaolong town and Pingshui town. The high risk areas of Cr pollution are located in Lushui town and Pingshui town. The high pollution areas of Pb pollution are located in Pingshui town, Qidi town, Batuan town, Gaolong town, Yaoshui town and Yantang town. The high risk areas of As pollution are located in Gaolong Town, Taokeng Town, Yan Town and Pingshui Town. The Hg pollution high risk areas are concentrated in Pingshui Town and Jitang Town. The study can provide scientific basis for comprehensive prevention and control of heavy metal pollution and layout of agricultural production safety in the study area.

关 键 词：茶陵县 地统计学 耕地土壤 重金属 空间相关性 

分 类 号：P237.9[天文地球—摄影测量与遥感]