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

E. M. Gusev; G. V. Ayzel; O. N. Nasonova

doi:10.1134/S0097807817020038

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

作者: Gusev E.M.¹, Ayzel G.V.¹, Nasonova O.N.¹
隶属关系:
1. Water Problems Institute
期: 卷 44, 编号 2 (2017)
页面: 169-179
栏目: 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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详细

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.