Runoff evaluation for ungauged watersheds by SWAP model. 1. Application of artificial neural networks
- Autores: Gusev E.M.1, Ayzel G.V.1, Nasonova O.N.1
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Afiliações:
- Water Problems Institute
- Edição: Volume 44, Nº 2 (2017)
- Páginas: 169-179
- Seção: Water Resourсes and the Regime of Water Bodies
- URL: https://journals.rcsi.science/0097-8078/article/view/174151
- DOI: https://doi.org/10.1134/S0097807817020038
- ID: 174151
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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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