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Application of Analytic Hierarchy Process‐Grey Target Theory Systematic Model in Comprehensive Evaluation of Water Environmental Quality
Author(s) -
Wu Jun,
Tian Xiaogang,
Tang Ya,
Zhao Yujie,
Hu Yandi,
Fang Zili
Publication year - 2010
Publication title -
water environment research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.356
H-Index - 73
eISSN - 1554-7531
pISSN - 1061-4303
DOI - 10.2175/106143009x12529484816231
Subject(s) - analytic hierarchy process , water quality , watershed , biochemical oxygen demand , quality (philosophy) , computer science , process (computing) , environmental science , macro , water resource management , environmental engineering , operations research , chemical oxygen demand , engineering , wastewater , machine learning , programming language , ecology , philosophy , epistemology , biology , operating system
Comprehensive evaluation of the water environment for effective water quality management is complicated by a considerable number of factors and uncertainties. It is difficult to combine micro‐evaluation with the macro‐evaluation process. To effectively eliminate the subjective errors of the traditional analytic hierarchy process (AHP), a new modeling approach—the analytic hierarchy process and grey target theory (AHP‐GTT) systematic model—is presented in this study to evaluate water quality in a certain watershed. A case study of applying the AHP‐GTT systematic model to the evaluation and analysis of the water environment was conducted in the Yibin section of the Yangtze River, China. The micro‐evaluation is based on defining the weights of indices of the water quality (IWQ) of each water cross‐section, while the macro‐evaluation is based on calculating the comprehensive indices of water environmental quality and analyzing the tendency of the water environment of each cross‐section. The results indicated that the Baixi and Shuidongmen sections are seriously polluted areas, with the tendencies of becoming worse. Also, the key IWQs of these two cross‐sections are 5‐day biochemical oxygen demand and chemical oxygen demand of permanganate, respectively.