流速和初始浓度对可渗透反应墙修复模拟铅污染地下水的回归分析研究

Regression analysis of flow velocity and initial concentration about repair lead contaminated groundwater with permeable reactive barrier

以粉碎秸秆、合成沸石、黄土源铁锰结核和粉煤灰作为可渗透反应墙(Permeable Reactive Barrier,简称PRB)填料,对模拟铅污染地下水进行修复研究.选取铅初始浓度和流速两个影响因素进行单因素和混合正交试验,借助SPSS回归模型探讨两因素对铅修复效果的影响,并对相关数据进行拟合分析.结果表明:采用PRB系统支持最大铅的初始浓度为20 mg/L,此时对于铅的去除率可达80%以上.铅的去除率与其初始浓度和流速都有一定的相关性,且铅的去除率与流速相关性更高.二次线性回归模型能较好地拟合铅初始浓度和流速对铅去除率的影响,其拟合优度系数为0.894.回归分析方法能够揭示PRB系统运行条件与模拟地下水中铅去除率的相关性和线性关系,对于污染地下水的深度修复行为具有指导意义.

Remediation experiment of lead contaminated groundwater was carried out by permeable reactive barrier（PRB） using crushed straw,synthesized zeolite,iron-manganese concretion derived from loess and fly ash as the filler.The initial concentration of lead and flow rate were selected for single factor test and mixed orthogonal test.SPSS regression model was used to explore the effect of the two factors on the remediation effects of lead,and the relevant data were fitted and analyzed.The results showed：The PRB system supported by the test of the maximum initial concentration of lead is 20 mg/L,and the removal rate of lead is more than 80%.The removal rate of lead has a certain correlation with initial concentration and flow rate,and the correlation between removal rate of lead and initial concentration is higher.Two linear regression model can better fit the initial concentration of lead and flow rate on the variation of removal rate,and its goodness of fit coefficient is 0.894.Therefore,the method of regression analysis can reveal the correlation and linear relationship between the operating conditions of PRB system and the removal rate of lead in groundwater,which is of guiding significance for the depth remediation of contaminated groundwater.