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INVERSE MODELING TO IDENTIFY NONPOINT SOURCE POLLUTION USING A NEURAL NETWORK, TAIHU LAKE WATERSHED, CHINA
NONPOINT SOURCE POLLUTION INVERSE MODELING NEURAL NETWORK TAIHU LAKE WATERSHED
2009/10/13
Various studies have been carried out for the evaluation of non-point source pollution using physically-based distributed hydrological and water quality models. A number of modeling interactions have ...
Modelling microbiological water quality in the Seine river drainage network: past, present and future situations
faecal coliforms microbiological water quality
2009/5/13
The Seine river watershed is characterized by a high population density and intense agricultural activities. Data show low microbiological water quality in the main rivers (Seine, Marne, Oise) of the ...