首页|基于复杂网络的土壤重金属污染评价研究

基于复杂网络的土壤重金属污染评价研究

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城市土壤重金属污染严重影响生态环境,防治土壤重金属污染是生态文明建设的重要组成部分。基于2013年黄骅市土壤采样点重金属元素含量数据,利用复杂网络方法构建了采样点共异常网络和元素共异常网络,并采用社团划分算法分析了土壤污染的空间集聚特征。采样点共异常网络结果表明,黄骅市污染情况普遍,重污染集中在北部吕桥镇;黄骅市污染采样点可分为社团进行共同治理,其中骅中街道与吕桥镇污染情况最为相似,应考虑共同治理污染。元素共异常网络结果表明,Cu元素是黄骅市污染情况最为严重的元素,它与Cr元素的污染分布在黄骅市的相似区域。研究结果可为黄骅市表层土壤污染治理提供重要参考。
Evaluation of Soil Heavy Metal Pollution Based on Complex Network
Urban soil heavy metal pollution seriously affects the ecological environment,and the prevention and control of soil heavy metal pollution is an important part of ecological civilization construction.Based on the heavy metal element content data of soil sampling points in Huanghua City in 2013,the sampling point co-anomaly network and element co-anomaly network were constructed by using the complex network method,and the spatial clustering characteristics of soil pollution were analyzed by using the association division algorithm.The results of the sampling point co-anomaly network show that pollution is common in Huanghua City,and heavy pollution is concentrated in Lvqiao Town in the north;the polluted sampling points in Huanghua City can be divided into associations for common management,among which the pollution of Huazhong Street and Lvqiao Town is the most similar,and common management of pollution should be considered.The results of elemental co-anomaly network show that element Cu is the most seriously polluted element in Huanghua City,and its pollution distribution with element Cr is in similar areas of Huanghua City.The results of the study can provide an important reference for the management of surface soil pollution in Huanghua City.

soil pollutionheavy metalspatial distributioncomplex network methodHuanghua city

席增雷、陆玥琪、侯美伊

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河北大学 经济学院,河北 保定 071002

保定市碳中和与数据科学重点实验室,河北 保定 071002

天津财经大学 统计学院,天津 300202

土壤污染 重金属 空间分布 复杂网络 黄骅市

2025

河北民族师范学院学报
河北民族师范学院

河北民族师范学院学报

影响因子:0.371
ISSN:2095-3763
年,卷(期):2025.45(1)