4.7 Article

Comparison of regionalization approaches based on regression and similarity for predictions in ungauged catchments under multiple hydro-climatic conditions

Journal

JOURNAL OF HYDROLOGY
Volume 466, Issue -, Pages 37-46

Publisher

ELSEVIER
DOI: 10.1016/j.jhydrol.2012.07.048

Keywords

Regionalization approaches; Ungauged catchments; Catchment characteristics; Comparison

Funding

  1. National Basic Research Program of China [2010CB951103]
  2. Adapting to Climate Change in China (ACCC) project
  3. UK Department for International Development (DFID)
  4. Swiss Agency for Development & Cooperation (SDC)
  5. UK Department for Energy and Climate Change (DECC)
  6. International Science & Technology Cooperation Program of China [2010DFA24330]
  7. Non-profit Industry Program of the Ministry of Water Resources of China [201101015, 20110100304]

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Streamflow predictions in ungauged catchments are a challenge for hydrologists around the world. Using the Variable Infiltration Capacity model, the comparison of two regionalization approaches - one based on regression and the other on similarity - was investigated in 55 catchments in China under multiple hydro-climatic conditions. The regression-based approach was based on multiple regression equations using the calibrated model parameters as the dependent variables and catchment physical characteristics as the independent variables. The similarity-based approach considered the weights of five donor catchments, according to a combination of physical similarity and spatial proximity. The comparison of the two regionalization approaches indicated that the similarity-based approach was more accurate than regression-based approach, both for humid regions and arid regions; with greater aridity, the similarity-based approach became increasingly more accurate than the regression-based approach. The uncertainty in the comparison of the different regionalization approaches should be investigated by more catchments in future studies. (C) 2012 Elsevier B.V. All rights reserved.

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