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Based on characteristics of lake eutrophication, total phosphorus (TP), total nitrogen (TN), chemical oxygen demand(CODMn), secchi disk depth (SD) and biomass (BIO) were chosen as evaluation indexes. Aiming at the problem being too complex for the present evaluation methods on lake eutrophication, a new method, improved set pair analysis model was used to solve the complicated non-linear relation...
As a powerful global optimization approach, genetic algorithms (GA)can solve a variety of optimization problems in which the objective function is discontinuous, non-differentiable, or highly non-linear, to produce high convergence speed and vast search space. In this thesis, Genetic algorithm and BP algorithm can be combined to achieve complementary advantages in order to help solve the problem better...
With the development of social and economic, the pollution in river is worse. It is very important to study river pollution. In view of the uncertainty of river water pollution, Velocity and dispersion coefficient and attenuation in river are considered as uncertainty parameters and expressed as grey parameters. One dimensional gray numerical water quality model is developed according to gray theory...
The aquatic environment is a complicated system with uncertainty. The study of uncertainty in water quality modeling can improve peoplepsilas understanding of the nature of the aquatic environment and it is important to the development of water quality modeling. The typology and sources of uncertainty is represented to improve the understanding and characterizing of the uncertainty in water quality...
Risk assessment on water resources is a new subject combined the water research technology and the uncertainty or risk theory. The water resources system is a complex dynamic system influenced by uncertain factors. Especially the stochastic characters of hydrological variables and time-space uncertainty of pollutants affected the water resources system security seriously. This paper is based on risk...
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