Source Jouranl of CSCD
Source Journal of Chinese Scientific and Technical Papers
Included as T2 Level in the High-Quality Science and Technology Journals in the Field of Environmental Science
Core Journal of RCCSE
Included in the CAS Content Collection
Included in the JST China
Indexed in World Journal Clout Index (WJCI) Report
Volume 44 Issue 2
Feb.  2026
Turn off MathJax
Article Contents
GUO Huidong, HUANG Naixian. Advances in liners leakage detection technologies and case applications in municipal solid waste landfills[J]. ENVIRONMENTAL ENGINEERING , 2026, 44(2): 179-187. doi: 10.13205/j.hjgc.202602020
Citation: GUO Huidong, HUANG Naixian. Advances in liners leakage detection technologies and case applications in municipal solid waste landfills[J]. ENVIRONMENTAL ENGINEERING , 2026, 44(2): 179-187. doi: 10.13205/j.hjgc.202602020

Advances in liners leakage detection technologies and case applications in municipal solid waste landfills

doi: 10.13205/j.hjgc.202602020
  • Received Date: 2025-06-06
    Available Online: 2026-04-11
  • Publish Date: 2026-02-01
  • This paper presents a comprehensive review of the evolutionary development of global landfill liner systems. It elaborates on the critical and prevalent issue of liner system leakage, while analyzing the complex interactions and coupled effects of multiple contributing factors to such failures. It surveys the current mainstream leakage detection technologies for landfill liners, classifying them into three distinct categories based on their evolutionary trajectory: single electromagnetic technologies, synergistic multi-geophysical technologies, and in-situ real-time monitoring technologies (note: "in-situ" and "real-time" are hyphenated only when used as compound adjectives). For each category, a thorough summary is provided, covering representative methods, typical application scenarios, and core advantages and disadvantages. Furthermore, This paper articulates the prevailing challenges encountered in practical applications and proposes substantive future research directions. As a key contribution, it provides the first integrated analysis of various applied case studies to critically evaluate and illustrate the practical effectiveness and inherent limitations of these three technology types when deployed in real-world scenarios. By synthesizing insights from the root causes of liner leakage, the challenges in practical applications, and the specific problems revealed by case studies, three strategic future directions are proposed. First, deepen and advance "synergistic multi-geophysical technologies" to realize a paradigm shift from conventional data fusion to intelligent predictive modeling. Second, focus on the research and development of non-contact and minimally invasive survey technologies to explore feasible pathways for effective monitoring of aging and legacy landfills. Third, actively promote the development of low-cost and networked leakage detection technologies, aiming to significantly lower the threshold for long-term monitoring and enhance risk management for the vast number of existing landfill sites.
  • loading
  • [1]
    ISHII K,SATO M,OCHIAI S. Prediction of leachate quantity and quality from a landfill site by the long short-term memory model[J]. Journal of Environmental Management,2022,310:114733.
    [2]
    National Bureau of Statistics of China,Ministry of Ecology and Environment of China. China statistical yearbook on environment 2020[M]. Beijing:China Statistics Press,2020. 国家统计局,生态环境部. 中国环境统计年鉴 2020[M]. 北京:中国统计出版社,2020.
    [3]
    YANG Y Q. Application of high density polyethylene(HDPE)membrane in anti-seepage layer of landfill basement[J]. Environmental Sanitation Engineering,2001,9(3):116-119. 杨一清. 高密度聚乙烯(HDPE)膜在垃圾填埋场基底防渗层中的应用[J]. 环境卫生工程,2001,9(3):116-119.
    [4]
    MOO-YOUNG H,JOHNSON B,JOHNSON A,et al. Characterization of infiltration rates from landfills:supporting groundwater modeling efforts[J]. Environmental Monitoring and Assessment,2004,96(1-3):283-311.
    [5]
    YANG Y,JIANG Y H,XI B D,et al. Study on risk classification method of groundwater pollution in domestic waste landfill site[J]. Journal of Ecological Environment,2010,19(7):1704-1709. 杨昱,姜永海,席北斗,等. 生活垃圾填埋场地下水污染风险分级方法研究[J]. 生态环境学报,2010,19(7):1704-1709.
    [6]
    LUO Y C,SONG B D,WU W Q,et al. Study on groundwater environmental risk prevention and control system of hazardous waste landfill:taking a hazardous waste disposal enterprise as an example[J]. Environmental Science and Technology,2017,40(4):193-199. 罗育池,宋宝德,吴雯倩,等. 危险废物填埋场地下水环境风险防控体系研究:以某危险废物处置企业为例[J]. 环境科学与技术,2017,40(4):193-199.
    [7]
    WANG B,WANG Q,DONG L. Comparison of leakage detection methods of anti-seepage layer in waste landfill[J]. Research of Environmental Sciences,2002,15(5):47-48. 王斌,王琪,董路. 垃圾填埋场防渗层渗漏检测方法的比较[J]. 环境科学研究,2002,15(5):47-48.
    [8]
    WANG X M,MA R L,LIU X F,et al. Research on application of comprehensive geophysical prospecting technology in landfill leakage detection[J]. Journal of Engineering Geophysics,2021,18(6):903-910. 王旭明,马若龙,刘现锋,等. 综合物探技术在垃圾填埋场渗漏探测中的应用研究[J]. 工程地球物理学报,2021,18(6):903-910.
    [9]
    AUDEBERT M,CLÉMENT R,GROSSIN-DEBATTISTA J,et al. Influence of the geomembrane on time-lapse ERT measurements for leachate injection monitoring[J]. Waste Management,2014,34(4):780-790.
    [10]
    CHEN Y Y,FENG Z L,YANG J L,et al. Leakage location of landfill based on distributed optical fiber temperature measurement system[J]. Chinese Journal of Environmental Engineering,2016,10(10):6087-6092. 陈亚宇,冯子亮,杨家良,等. 基于分布式光纤测温系统的垃圾填埋场渗漏定位[J]. 环境工程学报,2016,10(10):6087-6092.
    [11]
    USEPA. Municipal solid waste landfill criteria:40 CFR 258[S]. Washington D C:USEPA,1991.
    [12]
    Department of Environmental Quality. Solid waste landfill guidance document[S]. Raleigh:North Carolina Department of Environmental Quality,1993.
    [13]
    Michigan Department of Environmental Quality. Michigan regulations for MSW landfills[S]. Lansing:Michigan Department of Environmental Quality,1993.
    [14]
    LI R. Summary of technical standards for domestic waste landfill and biological waste composting in Federal Germany[J]. Foreign Environmental Science& Technology,1997,20(2):1-5. 李锐. 联邦德国生活垃圾填埋场与生物垃圾堆肥技术标准综述[J]. 国外环境科学技术,1997,20(2):1-5.
    [15]
    XU S F,ZHANG W H,FENG W B. Introduction of anti-seepage structure of landfill abroad[J]. Construction Technology,2005,34(11):56-57. 许四法,张文华,冯伟彪. 国外垃圾填埋场防渗构造介绍[J]. 施工技术,2005,34(11):56-57.
    [16]
    State Environmental Protection Administration. Standard for pollution control on the landfill site for domestic waste:GB 16889—1997[S]. Beijing:China Environmental Science Press,1997. 国家环境保护总局. 生活垃圾填埋场污染控制标准:GB 16889—1997[S]. 北京:中国环境科学出版社,1997.
    [17]
    Ministry of Construction of the People's Republic of China. Technical code for municipal solid waste sanitary landfill:CJJ 17—2004[S]. Beijing:China Architecture& Building Press,2004. 中华人民共和国建设部. 生活垃圾卫生填埋技术规范:CJJ 17—2004[S]. 北京:中国建筑工业出版社,2004.
    [18]
    QIAN X D,GUO Z P,SHI J Y,et al. Design and construction of modern sanitary landfills[M]. Beijing:China Architecture& Building Press,2003. 钱学德,郭志平,施建勇,等. 现代卫生填埋场的设计与施工[M]. 北京:中国建筑工业出版社,2003.
    [19]
    JAIN P,WINSLOW K M,TOWNSEND T G,et al. Assessment of municipal solid-waste landfill liner performance[J]. Journal of Environmental Engineering,2023,149(9):04023011.
    [20]
    HELENE L P I,MOREIRA C A,BOVI R C,et al. Identification of leachate infiltration and its flow pathway in landfill by means of electrical resistivity tomography(ERT)[J]. Environmental Monitoring and Assessment,2020,192(4):249.
    [21]
    GUO X J,YAO P P,HUANG X Y. Analysis of in-situ three-dimensional electrical detection effect of landfill leakage pollution[J]. Journal of Civil Engineering,2011,44(S2):169-172. 郭秀军,姚佩佩,黄潇雨. 垃圾填埋场渗漏污染原位三维电学检测效果分析[J]. 土木工程学报,2011,44(增刊2):169-172.
    [22]
    XU Y,NENG C X,LIU Y Q,et al. Statistical analysis of HDPE membrane vulnerability density and its influencing factors in landfill sites[J]. Chinese Journal of Environmental Engineering,2015,9(9):4558-4564. 徐亚,能昌信,刘玉强,等. 垃圾填埋场 HDPE 膜漏洞密度及其影响因素的统计分析[J]. 环境工程学报,2015,9(9):4558-4564.
    [23]
    GAO K,LAN J W. Failure analysis of electrical leakage detection method for anti-seepage geomembrane construction in landfill site[J]. Environmental Sanitation Engineering,2008,16(1):16-18. 高康,兰吉武. 电学渗漏探测法用于垃圾填埋场防渗土工膜施工的破坏分析[J]. 环境卫生工程,2008,16(1):16-18.
    [24]
    HOOR A,ROWE R K. Application of tire chips to reduce the temperature of secondary geomembranes in municipal solid waste landfills[J]. Waste Management,2012,32(5):901-911.
    [25]
    CHEN Z,LUO B,WANG Z Z,et al. Effect of temperature on anti-seepage performance of anti-seepage layer in landfill site[J]. Environmental Engineering,2015,33(11):133-136. 陈祝,罗彬,王正中,等. 温度对垃圾填埋场防渗层防渗性能的影响[J]. 环境工程,2015,33(11):133-136.
    [26]
    HUANG X X,LI Y Y,WANG Z W,et al. Structure design and leakage analysis of landfill site[J]. Environmental Sanitation Engineering,2009,17(5):13-16. 黄晓夏,李玉云,王中伟,等. 垃圾填埋场的结构设计及渗漏分析[J]. 环境卫生工程,2009,17(5):13-16.
    [27]
    YANG P,NENG C X,DONG L,et al. Comparison of leakage detection of two kinds of double artificial synthetic liner simulated landfill by high voltage direct current method[J]. Environmental Science,2006,27(1):181-183. 杨萍,能昌信,董路,等. 高压直流电法 2 种双人工合成衬层模拟填埋场渗漏检测的比较[J]. 环境科学,2006,27(1):181-183.
    [28]
    SHANG H,GUO X J,WANG X L,et al. Development and application of three-dimensional distributed electrical monitoring system for landfill leakage pollution[J]. Progress in Geophysics,2010,25(4):1485-1491. 尚浩,郭秀军,王仙丽,等. 垃圾填埋场渗漏污染三维分布式电学监测系统研制及应用[J]. 地球物理学进展,2010,25(4):1485-1491.
    [29]
    YAO P P,SUN J,GUO X J. Analysis of three-dimensional electrical detection ability and influencing factors of multi-point leakage landfill site[J]. Journal of Disaster Prevention and Mitigation Engineering,2012,32(5):585-591. 姚佩佩,孙健,郭秀军. 多点渗漏垃圾填埋场三维电学检测能力及影响因素分析[J]. 防灾减灾工程学报,2012,32(5):585-591.
    [30]
    CHEN Y Y,LI J L,SUN J S,et al. Damage identification method of landfill impermeable layer based on machine vision[J]. Environmental Engineering,2021,39(8):136-140. 陈亚宇,李建龙,孙骥晟,等. 基于机器视觉的填埋场防渗层破损识别方法[J]. 环境工程,2021,39(8):136-140.
    [31]
    NENG C X,GUAN S P,DONG L. Factors affecting the dipole method for landfill leakage detection[J]. Research of Environmental Sciences,2008,21(6):35-38. 能昌信,管绍朋,董路. 填埋场渗漏检测偶极子法的影响因素分析[J]. 环境科学研究,2008,21(6):35-38.
    [32]
    NENG C X,XU Y,LIU J C,et al. Surface potential distribution characteristics and vulnerability location mechanism of the reactor under deep landfill conditions[J]. Research of Environmental Sciences,2016,29(9):1344-1351. 能昌信,徐亚,刘景财,等. 深度填埋条件下堆体表面电势分布特征及漏洞定位机理[J]. 环境科学研究,2016,29(9):1344-1351.
    [33]
    CASADO I,MAHJOUB H,LOVERA R,et al. Use of electrical tomography methods to determinate the extension and main migration routes of uncontrolled landfill leachates in fractured areas[J]. Science of the Total Environment,2015,506-507:546-553.
    [34]
    CHEN X J. Study on application of near-surface electrical method in landfill leakage detection in Hunan area[D]. Changsha:Central South University,2023. 陈欣洁. 近地表电法在湖南地区垃圾填埋场渗漏探测中的应用研究[D]. 长沙:中南大学,2023.
    [35]
    LIU Z D. Detection of landfill leachate seepage with induced polarization method[D]. Ji'nan:Shandong University,2022. 刘正达. 垃圾填埋场渗滤液渗漏的激发极化法探测研究[D]. 济南:山东大学,2022.
    [36]
    LIU L C,ZHAO C,WANG J H,et al. Application of high-density electrical method and micro-motion detection technology in leakage detection of a landfill site[J]. Journal of Engineering Geophysics,2024,21(6):983-995. 刘丽丛,赵超,汪精华,等. 高密度电法和微动探测技术在某垃圾填埋场渗漏探测中的应用[J]. 工程地球物理学报,2024,21(6):983-995.
    [37]
    CHEN Y Y,YANG J L,FENG Z L,et al. Research on landfill leakage location based on optical fiber micro-bending loss[J]. Environmental Engineering,2016,34(12):108-112. 陈亚宇,杨家良,冯子亮,等. 基于光纤微弯损耗的垃圾填埋场渗漏定位研究[J]. 环境工程,2016,34(12):108-112.
    [38]
    CHEN Y Y,SUN H Y,HUANG X S. Construction of landfill leakage location model based on stress wave monitoring technology[J]. Environmental Engineering,2019,37(6):131-135. 陈亚宇,孙焕奕,黄晓松. 基于应力波监测技术的填埋场渗漏定位模型构建[J]. 环境工程,2019,37(6):131-135.
    [39]
    CHEN Y Y,LI W J,ZHANG W M,et al. Study on seepage location method of anti-seepage layer based on wave velocity inversion model[J]. China Measurement& Test,2023,49(4):1-6. 陈亚宇,李文举,张维民,等. 基于波速反演模型的防渗层渗漏定位方法研究[J]. 中国测试,2023,49(4):1-6.
    [40]
    GENG S Y,HUANG X D. Application of high-density resistivity method in detection of leakage channels in a landfill site[J]. Coal Geology of China,2020,32(7):68-72. 耿淑莹,黄向东. 高密度电阻率法在某垃圾填埋场渗漏通道探测中的应用[J]. 中国煤炭地质,2020,32(7):68-72.
    [41]
    DENG F X. Detection of leakage at bottom of landfill using Mise-a-la-Masse method[D]. Chengdu:Chengdu University of Technology,2023. 邓富祥. 基于 Mise-a-la-Masse 法的填埋场底部渗漏探测[D]. 成都:成都理工大学,2023.
    [42]
    NENG C X,DONG L,WANG Q. Study on laying method of leakage detection electrode in double liner landfill[J]. Research of Environmental Sciences,2005,18(S1):74-76. 能昌信,董路,王琪. 双衬层填埋场渗漏检测电极铺设方式研究[J]. 环境科学研究,2005,18(增刊1):74-76.
    [43]
    YANG J R,LI J W,CUI Y T,et al. Application of resistivity imaging method in leakage detection of landfill impermeable layer[J]. Geotechnical Investigation& Surveying,2024,52(12):75-80. 杨金瑞,李金伟,崔亚彤,等. 电阻率成像法在垃圾填埋场防渗层渗漏探测中的应用[J]. 工程勘察,2024,52(12):75-80.
    [44]
    LI H J,GUO X J,JIN C J,et al. Design of electrical monitoring system for landfill leakage and indoor simulation test[J]. Environmental Pollution& Control,2005,27(4):311-313. 李鸿江,郭秀军,金春姬,等. 垃圾填埋场渗漏电学监测系统设计及室内模拟试验[J]. 环境污染与防治,2005,27(4):311-313.
    [45]
    SHAO S. Commercial development and application of 3D online electrical monitoring system for landfill leakage pollution[D]. Qingdao:Ocean University of China,2014. 邵帅. 垃圾填埋场渗漏污染三维在线电学监测系统产品化开发与应用[D]. 青岛:中国海洋大学,2014.
    [46]
    FANG K L,FANG Z H,LÜ J,et al. On-line leakage location monitoring system for waste landfill based on induction line technology[J]. Industrial Water& Wastewater,2019,50(6):51-53. 方凯乐,方志华,吕杰,等. 基于感应线技术的废物填埋场在线渗漏定位监测系统[J]. 工业用水与废水,2019,50(6):51-53.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (6) PDF downloads(0) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return