An evaluation of regionalization and watershed classification schemes for continuous daily streamflow prediction in ungauged watersheds
Author:
Affiliation:
1. McMaster University, Department of Civil Engineering, School of Geography and Earth Sciences, Hamilton, Canada
Funder
Natural Science and Engineering Research Council (NSERC) of Canada
Publisher
Informa UK Limited
Subject
Water Science and Technology
Link
https://www.tandfonline.com/doi/pdf/10.1080/07011784.2016.1184590
Reference44 articles.
1. Advances in ungauged streamflow prediction using artificial neural networks
2. Hydrological Processes
3. Comparing methods for estimating flow duration curves at ungauged sites
4. Brabanter, K. D., P. Karsmakers, F. Ojeda, C. Alzate, J. De Brabanter, K. Pelckmans, B. Moor, J. Vandewalle, and J. A. K. Suykens. 2011. LS-SVMlab Toolbox User’s Guide version 1.8, Katholieke Universiteit Leuven ESAT-SISTA. Technical Report: 10–146.
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