受HDPE膜影响下的垃圾填埋场渗滤液水位探测方法研究  

Study on detection method of landfill le achate level affected by HDPE membrane

作　　者：能昌信[1,2] 张弦 刘景财[2] 徐亚[2] NAI Changxin;ZHANG Xian;LIU Jingcai;XU Ya(School of Information and Electronic Engineering,Shandong Technology and Business University;Research Institute of Solid Waste Management,Chinese Research Academy of Environmental Sciences)

机构地区：[1]山东工商学院信息与电子工程学院 [2]中国环境科学研究院固体废物污染控制技术研究所

出　　处：《环境工程技术学报》2023年第1期325-331,共7页Journal of Environmental Engineering Technology

基　　金：国家重点研发计划项目(2020YFC1806304,2018YFC1800902);国家自然科学基金项目(51708529)。

摘　　要：渗滤液水位会影响填埋场堆体稳定并有渗漏污染风险,当渗滤液赋存于HDPE防渗膜上方,堆体和渗滤液堆积电阻率特征的极端分异特性以及边界效应等因素使得最小二乘(LS)等传统物探反演方法无法精确反演实际电阻率分布,从而无法根据电阻率差异特征定位HDPE膜上方渗滤液水位的高度。为准确刻画堆体内部特别是渗滤液-HDPE膜局部电阻率精细分布,对传统高密度电法(ERT)装置进行改进,提出了一种川形探测装置(C-ERT),并采用BP神经网络的电阻率反演模型算法。通过COMSOL理论模型和江西某生活垃圾填埋场采集的现场数据对该方法进行验证,并与LS法比较。结果表明:基于川形装置的BP神经网络能有效识别出HDPE膜上方的渗滤液区域,识别准确率约为83.2%,而LS法并不能识别出渗滤液区域。The water level of leachate will affect the stability of landfill and have the risk of leakage and pollution.When the leachate is stored on the HDPE impermeable membrane,the extreme differentiation characteristics of the resistivity characteristics of the two and the boundary effect and other factors make the least squares and other traditional geophysical inversion methods unable to accurately invert the actual resistivity distribution,and then according to the resistivity the difference feature locates the height of the leachate water level above the HDPE membrane.In order to accurately describe the fine distribution of the local resistivity of the leachate-HDPE membrane inside the garbage dump,The traditional high density electrical method(ERT)device is improved,and a detection device(C-ERT)is proposed,and the resistivity inversion model algorithm of BP neural network is adopted.The method is verified by COMSOL theoretical model and field data collected from a domestic waste landfill in Jiangxi Province,and compared with the least square algorithm(LS).The results show that the BP algorithm based on C-ERT can effectively identify the leachate area above HDPE membrane,and the recognition accuracy is about 83.2%,while LS inversion algorithm can not identify the leachate area.

关 键 词：渗滤液水位 高密度电法 HDPE膜 BP神经网络 最小二乘算法 COMSOL模型 

分 类 号：X705[环境科学与工程—环境工程]