基于熵权TOPSIS模型在入河排水口水质综合评价中的应用
Application of Water Quality Assessment in River Outfall Based on the Entropy Weight TOPSIS Model
DOI: 10.12677/JWRR.2022.111006, PDF,    科研立项经费支持
作者: 苑 辉, 韩少强, 孙 猛, 刘茂辉*：天津市生态环境监测中心，天津；马 楠, 张 昊：天津天滨瑞成环境技术工程有限公司，天津
关键词: 入河排水口；TOPSIS模型；熵权法；水质综合评价；River Outfalls； TOPSIS Model； Entropy Weight Method； Water Quality Assessment
摘要: 入河排水口水质综合评价是地方政府水环境保护和管理决策关注的重要问题，TOPSIS评价法虽然能够确定监测点位的水质类别并根据水质优劣情况进行排序，但评价赋权过程存在较强的主观性，从而影响评价结果。为了使计算过程变简洁、客观，建立了基于熵权的TOPSIS水质综合评价模型，对决策矩阵的正向化和标准化，使决策矩阵的构建步骤简化，同时采用信息熵进行客观赋权，减少主观赋权带来的误差。以2017年独流减河入河排水口监测点位水质现状为例的评价结果显示，该模型不仅具有更好的实用性，而且对COD、NH3-N和总磷这三项常规监测指标具有较好的普适性，实现了对入河排水口水质进行实时有效的评价。
Abstract: River outfall water quality assessment is an important issue for the local government in water environmental protection and management decision. TOPSIS model is applied widely in water quality assessment. Not only the water quality grade is determined by this model, but also ranked the objects in order. However, there is relatively strong subjectivity in the weight assignment process. And it affects the evaluation results. Water quality assessment model based on the entropy weight TOPSIS is built to make the results concise and objective. In order to simplify construction steps of the decision matrix, it was normalized and standardized. The informative weighting was introduced into the TOPSIS model to reduce errors caused of subjective weighting. The approach is applied to the water quality assessment of the river outfalls of Duliujian River in Tianjin in 2017. Results suggest that it has good practicability and universality for the COD, NH3-N and total phosphorus. This model realizes the real-time and effective assessment for water quality of the river outfalls.
文章引用：苑辉, 韩少强, 马楠, 张昊, 孙猛, 刘茂辉. 基于熵权TOPSIS模型在入河排水口水质综合评价中的应用[J]. 水资源研究, 2022, 11(1): 61-69. https://doi.org/10.12677/JWRR.2022.111006

参考文献

[1] WILLIAM, O. D., NÚRIA, F. H., JOSÉ, L. D., et al. Assessing water quality in rivers with fuzzy inference systems: A case study. Environment International, 2006, 32(6): 733-742. [Google Scholar] [CrossRef] [PubMed]
[2] KARIM, B., TAHA, F. M. Using principal component analysis to monitor spatial and temporal changes in water quality. Journal of Ha-zardous Materials, 2003, 100(1-3): 179-195. [Google Scholar] [CrossRef] 
[3] ROOHOLLAH, N., ABDULREZA, K., AMIR, K., et al. Chemometric analysis of surface water quality data: Case study of the Gorganrud River basin, Iran. Environmental Modeling, 2012, 17(4): 411-420. [Google Scholar] [CrossRef] 
[4] ZOU, Z. H., YUN, Y. and SUN, J. N. Entropy method for determination of weight of evaluating indicators in fuzzy synthetic evaluation for water quality assessment. Journal of Environmental Sciences, 2006, 18(5): 1020-1023. [Google Scholar] [CrossRef] 
[5] SUDHIR, D., BUPINDER, S., SHALINI, G., et al. Analysis of groundwater quality using fuzzy synthetic evaluation. Journal of Hazardous Materials, 2007, 147(3): 938-946. [Google Scholar] [CrossRef] [PubMed]
[6] LU, X. W., LORETTA, Y. L., KAI, L., et al. Water quality assessment of Wei River, China using fuzzy synthetic evaluation. Environmental Earth Sciences, 2010, 60(8): 1693-1699. [Google Scholar] [CrossRef] 
[7] 王晓玲, 李松敏, 孙月峰, 等. 基于遗传神经网络模型的水质综合评价[J]. 中国给水排水, 2006, 22(11): 45-48. WANG Xiaoling, LI Songmin, SUN Yuefeng, et al. Comprehensive assessment of water quality based on genetic neural network model. China Water & Wastewater, 2006, 22(11): 45-48. (in Chinese)
[8] 袁宏林, 龚令, 张琼华, 等. 基于BP神经网络的皂河水质预测方法[J]. 安全与环境学报, 2013, 13(2): 106-110. YUAN Honglin, GONG Ling, ZHANG Qionghua, et al. Forecasting the water quality index in Zaohe River based on BP neural network model. Journal of Safety and Environment, 2013, 13(2):106-110. (in Chinese)
[9] Li, P. Y., Qian, H., Wu, J. H., et al. Sensitivity analysis of TOPSIS method in water quality assessment: I. Sensitivity to the parameter weights. Environmental Monitoring Assessment, 2013, 185(3): 2453-2461. [Google Scholar] [CrossRef] [PubMed]
[10] ELISE, B., NATASA, S. V., KELVIN, B. G., et al. Spatial and temporal correlation of water quality parameters of produced waters from devonian-age shale following hydraulic fracturing. Environmental Science Technology, 2013, 47(6): 2562-2569. [Google Scholar] [CrossRef] [PubMed]
[11] TRIVEDI, P., AMITA, B. and SUKARMA, T. Evaluation of water quality: Physico-chemical characteristics of Ganga River at Kanpur by using correlation study. Nature and Science, 2009, 1(6): 91-94.
[12] 余春雪, 李祚泳, 胡蕾. 基于指标规范值的富营养化评价的TOPSIS模型[J]. 中国环境监测, 2012, 28(4): 9-12. YU Chunxue, LI Zuoyong and HU Lei. TOPSIS model of eutrophication evaluation based on normalized index values. Environmental Monitoring in China, 2012, 28(4): 9-12. (in Chinese)
[13] 李亮. 评价中权系数理论与方法比较[D]: [硕士学位论文]. 上海: 上海交通大学, 2009. LI Liang. Weights theory and weighting methods comparison in the evaluation. Master’s Thesis, Shanghai: Shanghai Jiao Tong University, 2009. (in Chinese)
[14] 郑恺原, 潘若云, 黄峰. 算子优化层次分析的TOPSIS模型评价大沽河流域地下水质研究[J]. 节水灌溉, 2020, 297(5): 93-97. ZHENG Kaiyuan, PAN Ruoyun and HUANG Feng. Application of TOPSIS model of operator optimizing AHP in groundwater quality assessment of Dagu River basin. Water Saving Irrigation, 2020, 297(5): 93-97. (in Chinese)
[15] PEI, L., HUI, Q. and WU, J. Hydrochemical formation mechanisms and quality assessment of groundwater with improved TOPSIS method in Pengyang County Northwest China. E-Journal of Chemistry, 2014, 8(3): 1164-1173. [Google Scholar] [CrossRef] 
[16] 黄发明, 李友皝, 刘达琳, 等. 基于改进TOPSIS法的湖泊水质评价[J]. 水电能源科学, 2020, 236(4): 57-60. HUANG Faming, LI Youhuang, LIU Dalin, et al. Lake water quality assessment based on improved TOPSIS method. Water Resources and Power, 2020, 236(4): 57-60. (in Chinese)
[17] AMIN, A., MIGUEL, A. M., MOTAHAREH, S., et al. Fuzzy TOPSIS multi-criteria decision analysis applied to Karun Reservoirs system. Water Resources Management, 2011, 25(2): 545-563. [Google Scholar] [CrossRef] 
[18] GULCIN, B., SEZIN, G. An integrated DEMATEL-ANP approach for renewable energy resources selection in Turkey. International Journal of Production Economics, 2016, 182(12): 435-448. [Google Scholar] [CrossRef] 
[19] 万程成, 周葵. 基于AHP-TOPSIS分析法的循环经济发展水平综合评估[J]. 统计与决策, 2018(14): 5. WAN Chengcheng, ZHOU Kui. Comprehensive evaluation on circular economy level based on AHP-TOPSIS analytical method. Statistics & Decision, 2018(14): 5. (in Chinese)