水电能源科学2024,Vol.42Issue(7) :155-159.DOI:10.20040/j.cnki.1000-7709.2024.20231288

"双电"法检测技术在新疆洼地水库超大面积土工膜渗漏检测的应用

Application of"Double Electric"Technology in the Leakage Detection of Ultra-large Geomembrane in Xinjiang Depression Reservoir

王波雷 王金昕 马斌 张文江 李旺林 王军忠
水电能源科学2024,Vol.42Issue(7) :155-159.DOI:10.20040/j.cnki.1000-7709.2024.20231288

"双电"法检测技术在新疆洼地水库超大面积土工膜渗漏检测的应用

Application of"Double Electric"Technology in the Leakage Detection of Ultra-large Geomembrane in Xinjiang Depression Reservoir

王波雷 1王金昕 2马斌 2张文江 1李旺林 3王军忠1
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作者信息

  • 1. 中国电建集团西北勘测设计研究院有限公司,陕西 西安 710065
  • 2. 西京学院土木工程学院,陕西 西安 710123
  • 3. 济南大学水利与环境学院,山东 济南 250022
  • 折叠

摘要

土工膜防渗检测是防止库区渗漏的关键技术步骤,也是大型水库面临的重要工程问题.通过介绍电火花法和双电极法土工膜渗漏检测方法的工作原理、应用范围、操作步骤等,依托新疆阿克苏地区洼地水库工程,对超大面积水库库底及边坡进行实际应用检测,结果表明"双电"法检测精度准确、效率高,可精确发现水库土工膜铺设施工中的缺陷,减少水库运行期渗漏水量,消除了渗漏带给水库的安全隐患,为土工膜渗漏检测提供了技术支撑,为类似工程提供了借鉴.

Abstract

The leakage detection of geomembrane is a key technical step to prevent leakage in the reservoir area,and it is also an important engineering problem faced by large reservoirs.By introducing the working principle,application scope and operation steps of the electroelectric spark method and the dual-electrode geomembrane infiltration detection method,relying on the depression reservoir project in Aksu region of Xinjiang,the actual application detection of the bot-tom and slope of the super-large reservoir is carried out.The results show that the detection accuracy of the"double elec-tricity"method is accurate and efficient,and can accurately find the defects in the geomembrane laying construction of the reservoi,reduce the amount of water leakage,eliminate the potential safety hazards brought by leakage to the reservoir,and bring technical support to the detection of geomembrane leakage.Thus,it can provide reference for similar projects.

关键词

土工膜/水库/渗漏检测/防渗检测/新疆阿克苏地区洼地水库

Key words

geomembrane/reservoir/leakage detection/anti-seepage detection/depression reservoir in Aksu,Xin-jiang

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基金项目

山东省自然科学基金项目(ZR2019MEE106)

出版年

2024
水电能源科学
中国水力发电工程学会 华中科技大学 武汉国测三联水电设备有限公司

水电能源科学

CSTPCD北大核心
影响因子:0.525
ISSN:1000-7709
参考文献量4
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