Runoff evaluation for ungauged watersheds by SWAP model. 1. Application of artificial neural networks


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Resumo

The potentialities of artificial neural networks are studied as applied to estimating key model parameters required for calculating river runoff by SWAP model in the case of ungauged watersheds. The examined geographic objects were 323 experimental watersheds of MOPEX project. The quality of model parameter estimates based on ANNs with different architecture was analyzed.

Sobre autores

E. Gusev

Water Problems Institute

Autor responsável pela correspondência
Email: sowaso@yandex.ru
Rússia, Moscow, 119333

G. Ayzel

Water Problems Institute

Email: sowaso@yandex.ru
Rússia, Moscow, 119333

O. Nasonova

Water Problems Institute

Email: sowaso@yandex.ru
Rússia, Moscow, 119333

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