岩土力学2025，Vol.46Issue(9)：2738-2748,11.DOI:10.16285/j.rsm.2024.1302
陕西黄土重金属污染分析与黄土/膨润土隔离墙处治初探
Analysis of loess heavy metal pollution in Shaanxi Province and a preliminary study on treatment of loess/bentonite cutoff walls
摘要
Abstract
The loess in Shaanxi Province exhibits heavy metal contamination,primarily concentrated in the Guanzhong region.In addition,the main heavy metal ions in loess are Pb,Cu,Ni,Cd and As.Among them,the Pb concentration is the highest,reaching up to 545.6 mg/kg.To mitigate pollution spread at contaminated sites,a loess/bentonite cutoff wall was implemented,and its hydraulic conductivity and pollution retardation behavior were experimentally investigated.Experimental results demonstrate that increasing bentonite content in the cutoff wall significantly reduces both hydraulic conductivity(k)and pollution retardation coefficient(Cad).To aid in subsequent engineering design,quantitative models for predicting k and Cad were formulated.Using this characterization,the minimum bentonite addition required to meet cutoff wall permeability standards was calculated(28.52%),exceeding the project's specified value.Consequently,bentonite modification is necessary.Simultaneously,colloid migration during polluted liquid seepage through the cutoff wall was identified,contributing to pollution diffusion and pollution retardation coefficient reduction.Consequently,subsequent research should focus on developing a cost-effective modified material to enhance colloid fineness and reduce its mobility within the cutoff wall.This approach would reduce hydraulic conductivity,improve pollution retardation coefficient,and prevent pollution spread caused by colloid migration.关键词
黄土重金属污染/黄土/膨润土隔离墙/渗透与防污阻滞性/定量表征/胶体迁移Key words
loess heavy metal pollution/loess/bentonite cutoff wall/hydraulic and pollution prevention retardation behavior/quantitative characterization/colloid migration分类
建筑与水利引用本文复制引用
吴子龙,俞韬,闫超,邓永锋,胡广青,高宇航,王璋,王力..陕西黄土重金属污染分析与黄土/膨润土隔离墙处治初探[J].岩土力学,2025,46(9):2738-2748,11.基金项目
国家自然科学基金(No.42302324) （No.42302324）
陕西省自然科学基金(No.2022JQ-307) （No.2022JQ-307）
安徽省智能地下探测技术研究院开放基金(No.AHPZY2023ZR01) （No.AHPZY2023ZR01）
安徽省绿色矿山工程研究中心开放基金(No.AGMERC-23KC-09).This work was supported by the National Science Foundation of China(42302324),the National Science Foundation of Shaanxi(2022JQ-307),the Fund of Anhui Intelligent Underground Detection Technology Institute(AHPZY2023ZR01)and the Fund of Anhui Green Mining Engineering Center(AGMERC-23KC-09). （No.AGMERC-23KC-09）
