Skip to main content
Log in

Monthly streamflow estimation in ungauged catchments of northern Algeria using regionalization of conceptual model parameters

  • Original Paper
  • Published:
Arabian Journal of Geosciences Aims and scope Submit manuscript

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 SOM-regionalised models are very promising.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14

Similar content being viewed by others

References

  • Acreman MC, Sinclair CD (1986) Classification of drainage basins according to their physical characteristics; an application for flood frequency analysis in Scotland. J Hydrol 84:365–380

    Article  Google Scholar 

  • Andrews DF (1972) Plots of high-dimensional data. Biometrics 28:125–136

    Article  Google Scholar 

  • Atkinson SE, Woods RA, Sivapalan M (2002) Climate and landscape controls on water balance model complexity over changing timescales. Water Resour Res 38:50–51

    Article  Google Scholar 

  • Bai P, Liu X, Liang K, Liu C (2015) Comparison of performance of twelve monthly water balance models in different climatic catchments of China. J Hydrol 529:1030–1040

    Article  Google Scholar 

  • Beven KJ, Wood EF, Sivapalan M (1988) On hydrological heterogeneity—catchment morphology and catchment response. J Hydrol 100:353–375

    Article  Google Scholar 

  • Blöschl G (2006) Rainfall-runoff modeling of ungauged catchments. In: Encyclopedia of hydrological sciences. John Wiley & Sons Ltd, West Sussex, pp 2061–280

  • Burn DH, Boorman DB (1992) Catchment classification applied to the estimation of hydrological parameters at ungauged catchments. Institute of Hydrology, Wallingford

    Google Scholar 

  • Coulibaly P, Burn DH (2005) Spatial and temporal variability of Canadian seasonal streamflows. J Clim 18:191–210

    Article  Google Scholar 

  • de Farias CAS, Santos CAG, Lourenço AMG, Carneiro TC (2013) Kohonen neural networks for rainfall-runoff modeling: case study of Piancó River Basin. J Urban Environ Engng 7:176–182. https://doi.org/10.4090/juee.2013.v7n1.176182

    Article  Google Scholar 

  • Dile YT, Srinivasan R (2014) Evaluation of CFSR climate data for hydrologic prediction in data-scarce watersheds: an application in the Blue Nile River Basin. J Am Water Resour As 50:1226–1241. https://doi.org/10.1111/jawr.12182

    Article  Google Scholar 

  • Farmer D, Sivapalan M, Jothityangkoon C (2003) Climate, soil, and vegetation controls upon the variability of water balance in temperate and semiarid landscapes: downward approach to water balance analysis: water balance variability using downward approach. Water Resour Res 39. https://doi.org/10.1029/2001WR000328

  • Faye C (2014) Méthode d’analyse statistique de données morphométriques: corrélation de paramètres morphométriques et influence sur l’écoulement des sous-bassins du fleuve Sénégal. Cinq Continents 4(10):80–108

    Google Scholar 

  • Grehys (1996) Presentation and review of some methods for regional flood frequency analysis. J Hydrol 186:63–84. https://doi.org/10.1016/S0022-1694(96)03042-9

  • Haberlandt U, Klöcking B, Krysanova V and Becker A (2001) Regionalisation of the base flow index from dynamically simulated flow components—a case study in the Elbe River Basin. J Hydrol 248(1–4):35–53

    Article  Google Scholar 

  • Hall MJ andMinns AW (1999) The classification of hydrologically homogeneous regions. Hydrolog Sci J 44(5):693–704

  • He Y, Bárdossy A, Zehe E (2011) A review of regionalisation for continuous streamflow simulation. Hydrol Earth Syst Sci 15:3539–3553

    Article  Google Scholar 

  • Howard AD (1990) Role of hypsometry and planform in basin hydrologic response. Hydrol Process 4:373–385

    Article  Google Scholar 

  • Kalteh AM, Hjorth P, Berndtsson R (2008) Review of the self-organizing map (SOM) approach in water resources: analysis, modelling and application. Environ Model Softw 23:835–845. https://doi.org/10.1016/j.envsoft.2007.10.001

    Article  Google Scholar 

  • Klemeš V (1983) Conceptualization and scale in hydrology. J Hydrol 65:1–23. https://doi.org/10.1016/0022-1694(83)90208-1

    Article  Google Scholar 

  • Lespinas F, Ludwig W, Heussner S (2014) Hydrological and climatic uncertainties associated with modeling the impact of climate change on water resources of small Mediterranean coastal rivers. J Hydrol 511:403–422

    Article  Google Scholar 

  • Lidén R, Harlin J (2000) Analysis of conceptual rainfall–runoff modelling performance in different climates. J Hydrol 238:231–247

    Article  Google Scholar 

  • Merz R, Blöschl G (2004) Regionalisation of catchment model parameters. J Hydrol 287:95–123. https://doi.org/10.1016/j.jhydrol.2003.09.028

    Article  Google Scholar 

  • Mouelhi S, Michel C, Perrin C, Andréassian V (2006) Stepwise development of a two-parameter monthly water balance model. J Hydrol 318:200–214

    Article  Google Scholar 

  • Nash JE, Sutcliffe JV (1970) River flow forecasting through conceptual models part I — a discussion of principles. J Hydrol 10:282–290. https://doi.org/10.1016/0022-1694(70)90255-6

    Article  Google Scholar 

  • Nathan RJ, McMahon TA (1990) Identification of homogeneous regions for the purposes of regionalisation. J Hydrol 121:217–238

    Article  Google Scholar 

  • Parajka J, Merz R, Blöschl G (2005) A comparison of regionalisation methods for catchment model parameters. Hydrol Earth Syst Sci 9:157–171

    Article  Google Scholar 

  • Patil SD, Wigington PJ, Leibowitz SG, Comeleo RL (2014) Use of hydrologic landscape classification to diagnose streamflow predictability in Oregon. J Am Water Resour As 50:762–776. https://doi.org/10.1111/jawr.12143

    Article  Google Scholar 

  • Paturel J-E, Barrau C, Mahé G et al (2007) Modelling the impact of climatic variability on water resources in West and Central Africa from a non-calibrated hydrological model. Hydrol Sci J 52:38–48

    Article  Google Scholar 

  • Perrin C, Michel C, Andréassian V (2001) Does a large number of parameters enhance model performance? Comparative assessment of common catchment model structures on 429 catchments. J Hydrol 242:275–301

    Article  Google Scholar 

  • Pilgrim DH, Chapman TG, Doran DG (1988) Problems of rainfall-runoff modelling in arid and semiarid regions. Hydrol Sci J 33:379–400. https://doi.org/10.1080/02626668809491261

    Article  Google Scholar 

  • Razavi T, Coulibaly P (2013) Classification of Ontario watersheds based on physical attributes and streamflow series. J Hydrol 493:81–94

    Article  Google Scholar 

  • Richman MB (1986) Rotation of principal components. J Climatol 6:293–335. https://doi.org/10.1002/joc.3370060305

    Article  Google Scholar 

  • Singh R, Archfield SA, Wagener T (2014) Identifying dominant controls on hydrologic parameter transfer from gauged to ungauged catchments–a comparative hydrology approach. J Hydrol 517:985–996

    Article  Google Scholar 

  • Sivapalan M, Takeuchi K, Franks SW et al (2003) IAHS decade on predictions in ungauged basins (PUB), 2003–2012: shaping an exciting future for the hydrological sciences. Hydrol Sci J 48:857–880

    Article  Google Scholar 

  • Toth E (2013) Catchment classification based on characterisation of streamflow and precipitation time series. Hydrol Earth Syst Sci 17:1149–1159. https://doi.org/10.5194/hess-17-1149-2013

    Article  Google Scholar 

  • Vaezi AR, Bahrami HA, Sadeghi SHR, Mahdian MH (2010) Modeling relationship between runoff and soil properties in dry-farming lands, NW Iran. Hydrol Earth Syst Sci Discuss 7:2577–2607

    Article  Google Scholar 

  • Wagener T, Sivapalan M, Troch P, Woods R (2007) Catchment classification and hydrologic similarity. Geogr Compass 1:901–931. https://doi.org/10.1111/j.1749-8198.2007.00039.x

    Article  Google Scholar 

  • Wallner M, Haberlandt U, Dietrich J (2013) A one-step similarity approach for the regionalization of hydrological model parameters based on self-organizing maps. J Hydrol 494:59–71. https://doi.org/10.1016/j.jhydrol.2013.04.022

    Article  Google Scholar 

  • Yatheendradas S, Wagener T, Gupta H, Unkrich C, Goodrich D, Schaffner M, Stewart A (2008) Understanding uncertainty in distributed flash flood forecasting for semiarid regions: semiarid flash floods. Water Resour Res 44. https://doi.org/10.1029/2007WR005940

  • Young AR, Gustard A, Bullock A et al (2000) A river network based hydrological model for predicting natural and influenced flow statistics at ungauged sites: micro low flows. Sci Total Environ 251:293–304

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to D. Souag-Gamane.

Additional information

Handling Editor: Helder I. Chaminé

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zamoum, S., Souag-Gamane, D. Monthly streamflow estimation in ungauged catchments of northern Algeria using regionalization of conceptual model parameters. Arab J Geosci 12, 342 (2019). https://doi.org/10.1007/s12517-019-4487-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12517-019-4487-9

Keywords

Navigation