Dam leakage detection based on entropy weight-variable fuzzy set model

Q3 Earth and Planetary Sciences
C. Jiansheng, He Huixiang, Wang Tao
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引用次数: 1

Abstract

Aiming at detecting the concentrated leakage passage in a dam, an entropy weight-variable fuzzy set model for dam leakage detection was developed based on information entropy theory and variable fuzzy set theory. Using a dam in southern China as an example, the indices to be detected were determined first, followed by the weight of each index via the entropy weight method in the objective weight assignment method. Then, the comprehensive membership degrees of different borehole water samples to precipitation, leakage water, and groundwater, as well as the H value of each water sample, were obtained. Based on these values, the borehole water samples were classified and their origins were determined. The results show that there are four concentrated leakage passages in the dam, which accords with previous findings.
基于熵权变量模糊集模型的大坝渗漏检测
针对大坝集中渗漏通道的检测问题,基于信息熵理论和变量模糊集理论,建立了一种熵权变量模糊集的大坝渗漏检测模型。以中国南方某大坝为例,首先确定待检测指标,然后通过客观赋权法中的熵权法确定各指标的权重。然后,得到不同钻孔水样对降水、渗漏水、地下水的综合隶属度,以及各水样的H值。在此基础上,对钻孔水样进行了分类,并确定了其来源。结果表明,坝体内存在4条集中渗漏通道,与前人的研究结果一致。
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来源期刊
河海大学学报(自然科学版)
河海大学学报(自然科学版) Earth and Planetary Sciences-Earth and Planetary Sciences (all)
CiteScore
2.70
自引率
0.00%
发文量
5391
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