矿产综合利用2025，Vol.46Issue(1)：80-85,6.DOI:10.3969/j.issn.1000-6532.2025.01.008
基于GIS的北京万庄金尾矿库及周边地区土壤重金属污染评价
GIS-based Evaluation of Heavy Metal Contamination in Soil of Wanzhuang Gold Tailing Pond and Surrounding Areas in Beijing
摘要
Abstract
Aiming at the phenomenon of soil metal pollution in Beijing Wanzhuang gold tailings reservoir,182 soil samples from the mining area,tailings pond and concentrator were tested and analyzed.The Nemero index method was used to evaluate the pollution of heavy metal elements in the soil of the mining area,and the spatial distribution of metal pollution elements in the soil of the mining area was mapped by using Arc GIS software.The results show that the pollution degree in the study area is mining area>tailings pond>concentrator.As and Pb in the polluted elements in the mining area seriously exceed the standard.Nearly 22.8%of the samples constitute heavy pollution,and as in the tailings pond constitutes heavy pollution.Secondly,Cd is moderately polluted,which is common in the study area.While Cu and Zn are slightly polluted,Cr and Ni are almost free of pollution.According to the spatial distribution and pollution degree of pollution elements,it is inferred that heavy metal elements in the soil in the study area continuously migrate from the mining area,concentrator and tailings pond to 500 m upstream and 2 km downstream,but do not affect the living area.This study provides a basis for metal pollution and treatment of gold tailings pond,and also provides reference value for other mining areas.关键词
金属元素污染/内梅罗指数法/GIS空间分布/铅Key words
Metal pollution/Nemerow index method/GIS spatial distribution/Lead分类
矿业与冶金引用本文复制引用
胡凌霄,佟磊,冯加永,应红梅,林欢..基于GIS的北京万庄金尾矿库及周边地区土壤重金属污染评价[J].矿产综合利用,2025,46(1):80-85,6.基金项目
国家自然科学基金项目(52070139) （52070139）
