Adaptability analysis of multiple evaluation methods in reservoir water quality evaluation
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Abstract:
Although there are a number of water quality evaluation methods, it is a basic and scientific work to choose a suitable method for water quality evaluation. In this study, four evaluation methods (i.e., single factor evaluation, comprehensive pollution index method, fuzzy comprehensive evaluation and gray relational evaluation) were used to evaluate the water quality condition of a reservoir in Guangdong province according to the monitoring data during 2008-2013. The rationality and defects of these four methods were also explored by comparing their results. The results showed that: (1) Remarkable differences existed among the results obtained by different evaluation methods. The evaluation results of gray relational analysis were the best while those of single factor evaluation method were the worst. (2) The different evaluation methods were influenced differently by weight. The gray relational analysis was least impacted while the fuzzy comprehensive evaluation method was highly influenced. (3) The fuzzy comprehensive evaluation method is suitable for users with rich experience in determining the weight, otherwise, gray relational evaluation method is recommended. Single factor evaluation method is suitable for the most strict water resources management. Comprehensive pollution index method could only determine whether the water bodies were polluted, but could not determine the degree of water quality, so it can be used as a complementary method. (4) In order to evaluate water quality accurately, and reduce the effects of weight and method, a variety of evaluation methods are recommended.