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

被引：0
|
作者：
E. M. Gusev
G. V. Ayzel
O. N. Nasonova
机构：
[1] Russian Academy of Sciences,Water Problems Institute
来源：
Water Resources | 2017年 / 44卷
关键词：
river runoff hydrograph; land-surface model SWAP; MOPEX-watersheds; parameter optimization; artificial neural networks;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
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页码：169 / 179
页数：10
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