Comparison of an artificial neural network and a conceptual rainfall–runoff model in the simulation of ephemeral streamflow-Reference-Cited by-同舟云学术

Comparison of an artificial neural network and a conceptual rainfall–runoff model in the simulation of ephemeral streamflow

Published:2016-07-21 Issue:15 Volume:61 Page:2763-2774
ISSN:0262-6667
Container-title:Hydrological Sciences Journal
language:en
Short-container-title:Hydrological Sciences Journal

Author:

Daliakopoulos Ioannis N.,Tsanis Ioannis K.

Publisher

Informa UK Limited

Subject

Water Science and Technology

Link

http://www.tandfonline.com/doi/pdf/10.1080/02626667.2016.1154151

Reference79 articles.

1. Allen, R.G.et al., others, 1998.Crop evapotranspiration-guidelines for computing crop water requirements-FAO irrigation and drainage paper 56. FAO, Rome 300, 6541.

2. Impact of the length of observed records on the performance of ANN and of conceptual parsimonious rainfall-runoff forecasting models

3. The global-scale impacts of climate change on water resources and flooding under new climate and socio-economic scenarios

4. LARGE AREA HYDROLOGIC MODELING AND ASSESSMENT PART I: MODEL DEVELOPMENT

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