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堤坝渗漏过程中水流携带的各种物质构成“信息流”，通过“信息流”中的“信息熵”可以确定地下流场的性质，其中运用水化学和环境同位素方法探测堤坝渗漏已经得到广泛应用。基于信息熵和集对分析系统理论，并结合水化学和环境同位素探测方法，建立了一种新的堤坝集中渗漏通道探测模型：熵权-集对分析模型。将PH，电导，Cl-，δD和δ18O作为探测指标，依据探测指标和判断标准界限值的关系，对待测样本进行同一、差异和对立的集对分析，计算各探测指标联系度；采用基于极大熵原理的熵权赋值法确定不同指标的权重，计算各样本综合联系度；并据此将待测样本分类，进而确定钻孔内水的来源。最后将该模型应用于探测南方某水库堤坝渗漏问题，并利用流速和温度探测方法相互验证，分析表明：该模型探测结果跟流速和温度探测结果相吻合。“,”The dam seepage flow contains many kinds of materials, forming the information flow, the information entropy of which can be used to determine the nature of the flow field; and the water chemistry and environmental isotope detection methods have been widely applied. Based on the knowledge of information entropy and set pair analysis, a new method consisting of water chemistry and environmental isotope detection, entropy weight-set pair analysis model, is introduced to ascertain the dam concentration leakage channels. Firstly, PH, conductance, Cl-, δD and δ18O are chosen as five detection indexes, and the connection degree of each index value to the classification standard is calculated. Then, the weight of each index is determined by using the information entropy weight method based on the principle of the maximum entropy. After that, the comprehensive connection degree of all samples from the drilling is calculated, and thus all the samples are classified so as to determine the resource of water. Finally, this new method is applied to detect the dam leakage channels of one south reservoir and the results are tested and improved by the method of horizontal velocity and temperature detection. It is concluded that the results of the entropy weight-set pair analysis model match those of the horizontal velocity and temperature detection very well.