Application of Uncertainty Mathematics Theory in Water Environmental Quality Evaluation

Abstract

Accompanied with rapid economic growth and human development, the world faces severe water shortages, which pose a serious threat to human society. In the present study, the significance of water environmental quality evaluation and problems found in available evaluation methods were discussed, with a focus on prior research results. This paper selected ammonia nitrogen (NH3-N), chemical oxygen demand (COD), cyanide, volatile phenol and petroleum as evaluation factors, and established level-evaluating and order-arranging models of water environmental quality on the basis of information entropy and uncertainty measure theory. The uncertainty influence factors based on the real situation were quantitatively and qualitatively analyzed, and the experimental data were used to establish the uncertainty measure function. Also, we adopted information entropy theory to calculate the weight of the index, and determined the level and level order of water environmental quality based on credible degree recognition criterion. The developed model was applied to assess water environmental quality in four sections of Dan River Basin. The results show that uncertainty measure method is reasonable, with the potential significance of assessing water environment quality in the future.