Email this article Runoff evaluation for ungauged watersheds by SWAP model. 1. Application of artificial neural networks
- Authors: Gusev E.M.1, Ayzel G.V.1, Nasonova O.N.1
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Affiliations:
- Water Problems Institute
- Issue: Vol 44, No 2 (2017)
- Pages: 169-179
- Section: 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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Abstract
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.
About the authors
E. M. Gusev
Water Problems Institute
Author for correspondence.
Email: sowaso@yandex.ru
Russian Federation, Moscow, 119333
G. V. Ayzel
Water Problems Institute
Email: sowaso@yandex.ru
Russian Federation, Moscow, 119333
O. N. Nasonova
Water Problems Institute
Email: sowaso@yandex.ru
Russian Federation, Moscow, 119333
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