Monthly streamflow estimation in ungauged catchments of northern Algeria using regionalization of conceptual model param
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ORIGINAL PAPER
Monthly streamflow estimation in ungauged catchments of northern Algeria using regionalization of conceptual model parameters S. Zamoum 1 & D. Souag-Gamane 1 Received: 20 December 2018 / Accepted: 17 April 2019 / Published online: 22 May 2019 # Saudi Society for Geosciences 2019
Abstract Streamflow prediction in ungauged basins is considered as a real challenge worldwide. Considerable efforts have been devoted to tackle this issue. However, no single method can be considered as the best solution and employed everywhere. So, the main objective sought for this work is to provide continuous monthly streamflow information in ungauged catchments in northern Algeria, needed for planning and water resources management. Thus, the first part of this work is devoted to the evaluation of the performance of a monthly water balance‑based rainfall-runoff model, namely GR2M, in gauged catchments in northern Algeria. The rainfall-runoff modeling step allowed the delineation of the zones, within the study area, where the GR2M model is suitable. In order to delineate homogeneous regions, prior to regionalization of the GR2M model’s parameters, two classification techniques have been assessed (principal component analysis (PCA) and self-organization maps (SOM)). Regional models between the model’s parameters and features of the catchments have been derived. The rainfall-runoff modeling results show that the water balance‑based GR2M model is not recommended for semi-arid regions. On the other hand, the regionalization results show that the regionalized models, based on the SOM classification technique, led to better performances than those obtained by PCA. For most of the catchments, considered as ungauged, the monthly and annual streamflow values estimated using the SOMregionalised models are very promising. Keywords Ungauged catchment . Rainfall-runoff modeling . Self organizing map . Principal component analysis . Regionalization . North Algeria
Introduction Effective planning and management of water resources and climate change impact projection are widely conditioned by the availability of long streamflow time series, uniformly distributed in the study area. A major difficulty is generally encountered in developing countries, where numerous basins are either ungauged or have very loose hydrometric networks with hydro-meteorological data limited in quantity and
Handling Editor: Helder I. Chaminé * D. Souag-Gamane [email protected] S. Zamoum [email protected] 1
LEGHYD Laboratory, Department of Civil engineering, University of Science and Technology Houari Boumediene, BP 32, Bab-Ezzouar, Algiers, Algeria
quality. Hence, predictions in ungauged basins have become a challenge for hydrologists over the world (Sivapalan et al. 2003) not only for their complexity and difficulty but also for the considerable uncertainties associated. For that, at first, the hydrologists try to extract the necessary information from the gauged catchments showing a similar hydrological behavior to that of the ungauged basin. The a
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