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基于组合赋权的TOPSIS模型与机器学习算法对山东某地区水质等级评估分析 被引量:1

Evaluation and Analysis of Water Quality Grade in Certain Area of Shandong Based on Combined Weighting TOPSIS Model and Machine Learning Algorithm
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摘要 为高效评估水质等级,缓解水体污染,以山东省某地区在2020年6-9月的水质监测数据为依据,建立基于组合赋权的TOPSIS模型,该模型旨在传统TOPSIS模型的基础上引入主客观赋权理念,为更真实准确地评估水质等级提供了科学依据。水质等级评估结果为:Ⅰ类水5个,Ⅱ类水46个,Ⅲ类水264个,Ⅳ类水399个,Ⅴ类水196个,总体分布较为均匀,符合正常情况。同时利用支持向量机模型,对水质等级评估结果进行交叉验证。结果表明,验证准确率为94.6%,进一步佐证该方法具有较高的适用性。 In order to efficiently evaluate the water quality level and alleviate water pollution,this paper uses the water quality monitoring data of a certain area in Shandong province from June to September 2020 as a basis to establish a TOPSIS model based on combination weighting,which is aimed at the basis of the traditional TOPSIS model.The above introduces the subjective and objective weighting concept,which provides a scientific basis for more true and accurate assessment of water quality grades.The results of the water quality grade assessment are:5 for class I water,46 for class II water,264 for class III water,399 for class IV water,and 196 for class V water,the overall distribution is relatively uniform,in line with normal conditions.This paper uses the support vector machine model to cross-validate the water quality evaluation results.The results show that the accuracy of the verification is 94.6%,which further proves that the method has high applicability.
作者 李百慧 李般若 季书一 邢凌凯 郑力高 黄品天 LI Bai-hui;LI Ban-ruo;JI Shu-yi;XING Ling-kai;ZHENG Li-gao;HUANG Pin-tian(Hohai University College of Agriculture and Engineering,Nanjing 210000,China;Hohai University College of Civil Engineering and Transportation,Nanjing 210000,China;Hohai University College of Computer and Information,Nanjing 210000,China;Hohai University College of Water Conservancy and Hydropower,Nanjing 210000,China)
出处 《水利科技与经济》 2022年第4期80-84,共5页 Water Conservancy Science and Technology and Economy
关键词 机器学习 水质评价 层次分析法 TOPSIS模型 熵权法 山东地区 machine learning water quality evaluation AHP TOPSIS model entropy weight method Shandong area
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