优先控制因子分析下土壤重金属污染风险与修复研究

Risk and Remediation of Soil Heavy Metal Pollution under Priority Control Factor Analysis

为了避免重金属对生态环境造成的破坏,研究旨在评估土壤重金属污染风险,并提出修复方案。以实际案例为基础,通过分析取样土壤重金属含量水平与垂直分布特征,采用优先控制因子分析法建立选择层次结构模型,并计算单一污染物因子指数,以确定土壤综合污染指数。根据土壤污染风险分级标准,确定了研究区域土壤重金属污染风险等级。最后,根据研究区基本情况,采用混合改良剂钝化方法对土壤进行修复。实验结果表明,当混合改良剂中沸石与蘑菇渣的用量水平为4时,可以实现80%以上的重金属去除率,从而达到最佳修复效果。

In order to avoid the damage caused by heavy metals to the ecological environment,this study aims to evaluate the risk of soil heavy metal pollution and propose remediation plans.By analyzing the horizontal and vertical distribution characteristics of heavy metal content in sampled soil,a selection hierarchical structure model is established using priority control factor analysis method,and a single pollutant factor index is calculated to determine the soil comprehensive pollution index.According to the soil pollution risk grading standards,the risk level of heavy metal pollution in the soil of the study area was determined.Finally,based on the basic situation of the research area,a mixed amendment passivation method was used to remediate the soil.The experimental results show that when the dosage level of zeolite and mushroom residue in the mixed modifier is 4,a heavy metal removal rate of over 80%can be achieved,thereby achieving the best remediation effect.