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To improve the seepage monitoring level of pumped storage reservoirs, a discrimination method was proposed for seepage caused by geomembrane aperture damage, based on a seepage-sensing structure and the concept of an equivalent seepage aperture . First, the temperature rise difference between dry and wet conditions was acquired through active heating, and a logarithmic linear fit was performed after normalizing the temperature rise difference with respect to the seepage velocity. Then, a linear fit was established between the seepage velocity and the equivalent seepage aperture. The seepage condition was inferred based on field calibration tests combined with the characteristics of distributed temperature sensing (DTS) curve. Finally, laboratory tests were conducted for validation. The results show that the goodness-of-fit (R²) between differential temperature and the equivalent seepage aperture exceeds 0.96, and the relative error of seepage velocity is below 5%. 86% of the residuals between experimental and simulated temperature rise values fall within ±1℃, and the relative error of seepage velocity also remains below 5%, demonstrating the reliability of the simulations.

, authors=Chenchen JIN¹, Yong DING^{**, 1}, Denghua LI^{2, 3}, authorsList=Chenchen JIN, Yong DING, Denghua LI, authorCompany=null, correspAuthors=Yong DING, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1281616715914130365, articleId=1281616715276596153, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=基于感渗结构的土工膜等效渗流孔径判别方法, columnId=1277328337940902469, journalTitle=中国安全科学学报, columnName=安全技术与工程, runingTitle=null, highlight=null, articleAbstract=

为提高抽水蓄能水库渗流监测水平，针对土工膜孔径破坏引起的渗流，提出一种基于感渗结构与等效渗流孔径的土工膜孔径破坏渗流判别方法。首先，通过主动加热的方式得到干湿差温升值，将干湿差温升值与渗流速度归一化后进行对数线性拟合；然后，将渗流速度与等效渗流孔径进行线性拟合，通过现场标定试验并结合分布式光纤（DTS）曲线特征反演渗流情况；最后，开展室内试验进行验证。结果表明：等效渗流孔径的干湿差温升拟合优度R²均超过0.96，且渗流速度均小于5%。室内试验与数值模拟温升值的残差86%位于±1℃范围内；渗流速度均小于5%，证明数值模拟结果的可靠性。

, authors=金晨晨¹, 丁勇副教授^{**, 1}, 李登华高级工程师^{2, 3}, authorsList=金晨晨, 丁勇副教授, 李登华高级工程师, authorCompany=null, correspAuthors=丁勇副教授, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=+NOkeIReylvQmrwSzIJGTA==, magXml=WdHTYU64Oth5OIiUVNJGGw==, pdfUrl=null, pdf=2XEBAT5jI3NLK4UN9lviTw==, pdfFileSize=7709215, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=1Zys4tXWWYkt3bSRtBe+kw==, mapNumber=null, fund=null)}, authors=[Author(id=1281616717956756424, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281616715276596153, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=1544072243@qq.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1281616718049031114, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281616715276596153, authorId=1281616717956756424, language=EN, stringName=Chenchen JIN, firstName=Chenchen, middleName=null, lastName=JIN, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=¹School of Safety Science and Engineering, Nanjing University of Science and Technology, Nanjing Jiangsu 210094, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1281616718342632395, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281616715276596153, authorId=1281616717956756424, language=CN, stringName=金晨晨, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=¹南京理工大学 安全科学与工程学院，江苏 南京 210094, bio={"content":"

金晨晨（1998—），男，江苏溧阳人，硕士研究生，主要研究方向为水利工程结构健康监测。E-mail: 1544072243@qq.com。

"}, bioImg=null, bioContent=

金晨晨（1998—），男，江苏溧阳人，硕士研究生，主要研究方向为水利工程结构健康监测。E-mail: 1544072243@qq.com。

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