复杂网络在土壤重金属含量关联分析中的应用  

Application of Complex Network in Correlation Analysis of Heavy Metal Content in Soil

作　　者：彭嘉钰 戴芙蓉 江振宇 邹欣琦 戴小鹏[1,2] PENG Jiayu;DAI Furong;JIANG Zhenyu;ZOU Xinqi;DAI Xiaopeng(School of Information and Intelligent Science and Technology,Hunan Agricultural University,Changsha,China,410128;School of Computer Science and Engineering,Hunan University of Information Technology,Changsha,China,410151)

机构地区：[1]湖南农业大学信息与智能科学技术学院,长沙410128 [2]湖南信息学院计算机科学与工程学院,长沙410151

出　　处：《福建电脑》2024年第3期13-17,共5页Journal of Fujian Computer

摘　　要：土壤重金属污染是当今社会最为关注的环境问题,对土壤不同重金属含量变化的关联性研究可以为土壤重金属治理提供理论依据。本文构建了一个复杂网络模型来分析土壤中重金属含量的关联性。通过采集实验基地7个区域的210组环境重金属数据,构建同现矩阵和复杂网络模型来分析该实验基地重金属的关联性。实验的结果显示,应用本文的方法,可以较好地描述不同重金属之间变化的潜在联系。Soil heavy metal pollution is the most concerning environmental issue in today's society.Studying the correlation between changes in soil heavy metal content can provide theoretical basis for soil heavy metal control.This article constructs a complex network model to analyze the correlation of heavy metal content in soil.By collecting 210 sets of environmental heavy metal data from 7 regions of the experimental base,constructing co-occurrence matrices and complex network models to analyze the correlation of heavy metals in the experimental base.The experimental results show that the method proposed in this article can effectively describe the potential connections between changes in different heavy metals.

关 键 词：复杂网络 重金属 同现分析法 关联分析 

分 类 号：X824[环境科学与工程—环境工程]