Water environment risk assessment model based on information entropy and stochastic fuzzy theory

4th International Conference on Water Resource and Environment

地球科学;生态环境科学

Tong, K.^1 ; Yang, C.^2

Key Laboratory of Watershed Geographic Science, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing

210008, China^1

Nanjing Guohuan Science and Technology Co Ltd, Nanjing

210042, China^2

关键词: Calculation models;    Fuzzy random;    Fuzzy theory;    Information entropy;    Model calculations;    Risk rate;    Water environment systems;    Water environments;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/191/1/012110/pdf
DOI  :  10.1088/1755-1315/191/1/012110

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

At present, under the background of the river length system, the concern for water quality becomes more and more urgent. For there are many influencing factors of water environment change and it is difficult to describe. This paper proposes a fuzzy random risk rate calculation model for water environment water quality exceeding the standard aiming at the randomness and fuzziness of water environment system. At the same time, information entropy was introduced to solve the calculation. Use an example for calculations, the results show that the rate of the DO pollution is 4.3%, COD is 0.16%, and NH4-N is 0.00% .The model calculation results are as good as observed.