{"title":"Groundwater pollution management with source remediation and composite geomembrane cut-off wall: an analytical model and field investigation","authors":"Haijian Xie, Yanghui Shi, Jianqi Wang, Mei Li","doi":"10.1016/j.watres.2025.123429","DOIUrl":null,"url":null,"abstract":"This study proposes a two-dimensional analytical model for contaminant migration through the composite GMB cut-off wall (CGCW) and aquifer system considering the effects of the leakage and source remediation. A comprehensive sensitivity analysis based on the Sobol's method is conducted to investigate the key impacts of contaminant distribution and degradation rate in the source, cut-off wall retardation factor and Darcy velocity in CGCW. The results show that the performance of the CGCW significantly is controlled by the leakage. The peak contaminant concentration at the outlet of CGCW for large leakage (10<sup>-8</sup> m/s) can be 77.1 times larger than that for small leakage (10<sup>-11</sup> m/s), with a performance deterioration of 98.7%. Additionally, the performance of the CGCW can be significantly enhanced by the source remediation technique. The CGCW will not be broken through when contaminant source degradation rate is larger than 2.9 × 10<sup>-8</sup> /s. Increasing the cut-off wall retardation factors (> 14.7) and decreasing the standard deviation of contaminant source distribution (< 0.1) can also improve the CGCW performance. Moreover, the analytical model coupled with the genetic algorithm is used for the CGCW leakage detection and performance prediction at an abandoned pesticide site based on the monitoring data. Accurate leakage detections in the field (with errors of < 5 m) can be achieved through the analytical solution, which is validated by the non-destructive high-voltage technique. The analytical solution can be an easy-to-use tool for the design, installation and construction of the CGCW at polluted sites.","PeriodicalId":443,"journal":{"name":"Water Research","volume":"84 1","pages":""},"PeriodicalIF":11.4000,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Research","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1016/j.watres.2025.123429","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
This study proposes a two-dimensional analytical model for contaminant migration through the composite GMB cut-off wall (CGCW) and aquifer system considering the effects of the leakage and source remediation. A comprehensive sensitivity analysis based on the Sobol's method is conducted to investigate the key impacts of contaminant distribution and degradation rate in the source, cut-off wall retardation factor and Darcy velocity in CGCW. The results show that the performance of the CGCW significantly is controlled by the leakage. The peak contaminant concentration at the outlet of CGCW for large leakage (10-8 m/s) can be 77.1 times larger than that for small leakage (10-11 m/s), with a performance deterioration of 98.7%. Additionally, the performance of the CGCW can be significantly enhanced by the source remediation technique. The CGCW will not be broken through when contaminant source degradation rate is larger than 2.9 × 10-8 /s. Increasing the cut-off wall retardation factors (> 14.7) and decreasing the standard deviation of contaminant source distribution (< 0.1) can also improve the CGCW performance. Moreover, the analytical model coupled with the genetic algorithm is used for the CGCW leakage detection and performance prediction at an abandoned pesticide site based on the monitoring data. Accurate leakage detections in the field (with errors of < 5 m) can be achieved through the analytical solution, which is validated by the non-destructive high-voltage technique. The analytical solution can be an easy-to-use tool for the design, installation and construction of the CGCW at polluted sites.
期刊介绍:
Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include:
•Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management;
•Urban hydrology including sewer systems, stormwater management, and green infrastructure;
•Drinking water treatment and distribution;
•Potable and non-potable water reuse;
•Sanitation, public health, and risk assessment;
•Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions;
•Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment;
•Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution;
•Environmental restoration, linked to surface water, groundwater and groundwater remediation;
•Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts;
•Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle;
•Socio-economic, policy, and regulations studies.