• Please log in or register to access this feature.

Research Article

Identification of rainfall–runoff model for improved baseflow estimation in ungauged basins

  1. Jos Samuel1,*,
  2. Paulin Coulibaly1,
  3. Robert A. Metcalfe2

Article first published online: 10 MAY 2011

DOI: 10.1002/hyp.8133

Issue

Hydrological Processes

Hydrological Processes

Volume 26, Issue 3, pages 356–366, 30 January 2012

Additional Information

How to Cite

Samuel, J., Coulibaly, P. and Metcalfe, R. A. (2012), Identification of rainfall–runoff model for improved baseflow estimation in ungauged basins. Hydrol. Process., 26: 356–366. doi: 10.1002/hyp.8133

Author Information

  1. 1

    Department of Civil Engineering and School of Geography and Earth Sciences, McMaster University, 1280 Main Street West, Hamilton, Ontario, Canada L8S 4L7

  2. 2

    Aquatic Research and Development Section, Ontario Ministry of Natural Resources, c/o Trent University, DNA Building, 2140 East Bank Dr., Peterborough, Ontario, Canada K9J 7B8

*Department of Civil Engineering and School of Geography and Earth Sciences, McMaster University, 1280 Main Street West, Hamilton, Ontario, Canada L8S 4L7.

Publication History

  1. Issue published online: 23 JAN 2012
  2. Article first published online: 10 MAY 2011
  3. Accepted manuscript online: 27 APR 2011 02:28AM EST
  4. Manuscript Accepted: 8 APR 2011
  5. Manuscript Received: 28 SEP 2010

SEARCH

SEARCH BY CITATION

ARTICLE TOOLS

View Full Article (HTML) Get PDF (393K)

Cited in:

CrossRef

This article has been cited by:

  1. 1
    Baoqing Zhang, Pute Wu, Xining Zhao, Yubao Wang, Xiaodong Gao, Xinchun Cao, A drought hazard assessment index based on the VIC–PDSI model and its application on the Loess Plateau, China, Theoretical and Applied Climatology, 2013,

    CrossRef

  2. 2
    R. Cibin, P. Athira, K. P. Sudheer, I. Chaubey, Application of distributed hydrological models for predictions in ungauged basins: a method to quantify predictive uncertainty, Hydrological Processes, 2013, 27, 11
    Direct Link:
View Full Article (HTML) Get PDF (393K)