Optimization of water quality monitoring sections based on improved TOPSIS method
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Abstract:
This work aimed to solve the irrationality of traditional TOPSIS, such as the strong subjective of weight calculation, the equal distance to the ideal point and the negative ideal point. The subjective weight and objective weight were combined by combining weights method based on Game Theory, "virtual negative ideal point" was defined to replace the traditional negative ideal point and used to improve formula to calculate the distance between each sample and the ideal point or negative ideal point. An improved TOPSIS method was built to optimize water quality sections. Based on the monitoring data of 9 water quality monitoring sections in Puyang River in 2012, water quality monitoring sections were optimized by the improved TOPSIS. As a result, the original 9 sections were optimized to 7 sections, which was proved to be scientific and effective by F test and t test method. Therefore, it will provide a great reference for layout of the environmental monitoring sites and section optimization.