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