The principle of maximum entropy and Monte Carlo method are applied to study the influence of stochastic error on the seawater environment evaluation.

we compared isogradient obscure clustering method and isogenyv point obscure clustering method in the water environmental quality assessment of Nandujiang River the authors discuss the difference between the methods and point out that the isogeny point obscure clustering method is more practicable than isogradient obscure clustering method in handling weighting.

Influence of stochastic observation error on water environment evaluation;

The Design and Research of Water Environment Evaluation DSS;

The water environment consists of water-power environment and water quality environment and the water-power environment often dominates the changing direction of water quality environment,therefore,water environment evaluation should simultaneously carry out the evaluations of water-power environment and the water quality environment.

In accordance with the outstanding influence of the sediment on water quality,the water environmental quality assessment for the Menghua section of the Yellow River is carried out to completely reflect the pollution situation and validly distinguish between the natural pollution caused by the sediment and the artificial pollution produced.

Analysis of methods of water environment quality assessment;

This paper introduces a new and available approach for water environment quality assessment-Fuzzy information diffusion method.

This article combines “weighty-W”with“quality ratio-Pi”and correspondingly gets the method of comprehensive weighty quality ratio in water environment quality assessment.