典型矿区土壤重金属污染对植被影响遥感监测分析——以江西省德兴铜矿为例  

Monitoring and Analysis of the Impacts of Soil Heavy Metal Pollution on Vegetation in Typical Mining Areas using Remote Sensing Imageries——A Case Study of Jiangxi Dexing Copper Mine

作　　者：付卓[1] 肖如林[1] 申文明[1] 周春艳[1] 屈永华[2] 万华伟[1] 翟俊[1] 侯鹏[1] 

机构地区：[1]环境保护部卫星环境应用中心,北京100094 [2]北京师范大学地理学与遥感科学学院,北京100875

出　　处：《环境与可持续发展》2016年第6期66-68,共3页Environment and Sustainable Development

基　　金：国家重点研发计划项目(编号:2016YFB0501404);科技基础性工作专项项目"测绘地物波谱本底数据库建设(2014FY210800)"

摘　　要：土壤污染对陆表植被影响监测与分析是土壤环境管理的重要内容之一。为探索遥感技术在土壤环境管理中的支撑作用,选择江西省德兴铜矿为研究区,利用多源遥感数据,提取了矿区污染场变化信息及分布,在此基础上,综合植被覆盖区域叶片铜离子含量分布和植被类型分布产品,进一步分析了污染场地变化对植被的影响及不同类型的植被受重金属污染程度差异性。研究结果表明:从1973年至2012年期间,污染场地面积增加了23.46km2,植被减少了24.86km2。污染场地面积的扩大是造成该区域植被生态系统破坏的主要原因。另外,德兴铜矿内不同类型植被受到土壤重金属铜的影响程度不同,草本绿地、草丛和农作物的叶片铜片含量基本在60mg/kg以下,低于其他几种植被的重金属铜累积量。Monitoring and analysis of the impacts of soil heavy metal pollution on vegetation are critical tasks for soil environment management. In order to explore the role of remote sensing technology as an efficient tool in supporting soil environmental management, Jiangxi Dexing copper mine is selected as our study area. The changes and distribution of contaminated sites are extracted from remote sensing imageries. The impacts of the changes of pollution sites on vegetation and the difference of impacts on different vegetation contaminated heavy metal are then analyzed using data of the copper ion concentration distribution on leaf blade and the typological distribution of vegetation in vegetation coverage areas.

关 键 词：重金属 土壤污染 遥感监测 

分 类 号：X53[环境科学与工程—环境工程] X87