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{"references": ["G. B. Gholikandi, M. Khosravi, \"Upgrading of submerged membrane bioreactor operation with regard to soluble microbial products and mathematical modeling for optimisation of critical flux\", Desalin. Water Treat, vol.39, April .2011, pp .199\u2013208.", "M. Albek, U. B. Ogutveren, E. Albek, \"Hydrological modeling of Seydi Suyu watershed (Turkey) with HSPF\", Journal of Hydrology vol.285, sep.2003, pp. 260\u2013271.", "M. Yadav, T. Wagener, H. Gupta, \"Regionalization of constraints on expected watershed response behavior for improved predictions in ungauged basins\", Advances in Water Resources, vol. 30, Feb.2007, pp. 1756\u20131774.", "E. Todni, \"Rainfall-Runoff Modeling-Past, Present and Future\", Journal of Hydrology, vol.100, Feb.1988, pp 341-352.", "Wheater H. S., Jakeman A. J., Beven K. J. Progress and directions in rainfall-runoff modelling. In: Jakeman AJ et al., editors. Modelling change in environmental systems. John Wiley and Sons; 1993, pp 101\u201332.", "J. De Vries, \"Hydrologic Behavior of a Forested Mountain Soil in Coastal British Columbia\", Water Resour. Res, vol.14, Oct. 1978, pp.935-942.", "J. J. McDonnell et. al, \"Moving beyond heterogeneity and process complexity: A new vision for watershed hydrology\", Water Resour. Res, vol. 43, July.2007, pp.1-6.", "K. P. Sudheer, I. Chaubey ,V. Garg and Kati W. Migliaccio, \"Impact of time-scale of the calibration objective function on the performance of watershed models\", Hydrological Processes, vol.21, April.2007, pp. 3409-3419.", "Thorsten Wagener \u00c6 Hoshin V. Gupta, \"Model identification for hydrological forecasting under uncertainty\", Stoch Environ Res Risk Assess, vol.19, Sep.2005, pp.378\u2013387.\n[10]\tQingyund Uan, Soroossho Rooshiaann, D Vijai Gupta, \"Effective and Efficient Global Optimization for Conceptual Rainfall-Runoff Models\", Water Resour. Res, vol.28, April.1992, pp.1015-1031.\n[11]\tM. Sivapalan et. al, \"IAHS Decade on Predictions in Ungauged Basins (PUB), 2003\u20132012: Shaping an exciting future for the hydrological sciences\", Hydrological Sciences\u2013Journal, vol.48, Dec.2003, pp.857-880.\n[12]\tY. Tang, P. Reed, and T. Wagener, \"How effective and efficient are multiobjective evolutionary algorithms at hydrologic model calibration?\", Hydrol. Earth Syst. Sci, vol.10, March.2006, pp. 289\u2013307.\n[13]\tLaroussi Beloulou, \"Vuln\u00e9rabilit\u00e9 aux inondations en milieu urbain. Cas de la ville de Annaba (Nord-Est Alg\u00e9rien).\", Badji Mokhtar-Annaba University,2008.\n[14]\tA. Medejerab, \"Les Inondations Catastrophiques Du Mois D'octobre 2008 A Gharda\u00efa- Algerie.\", Geographia Technica, vol.4, Sep,2009, pp.331-316.\n[15]\tKatana, S. J. S., Munyao, T. M. and Ucakuwun, E. K, \"Hydrological Impacts Of Land Cover Changes In Upper Athi River Catchment, Kenya\", International Journal of Current Research, vol. 5, May, 2013, pp.1187-1193.\n[16]\tMoussaab Zakhrouf, Mohamed Chettih, Mohamed Mesbah, \"Adaptive neural fuzzy inference systems for the daily flow forecast in Algerian coastal basin\", Desalination and Water Treatment, vol.52, Dec2014, pp. 2131\u20132138.\n[17]\tElias Moussoulis, Ierotheos Zacharias & Nikolaos P. Nikolaidis, \"Combined hydrological, rainfall\u2013runoff, hydraulic and sediment transport modeling in Upper Acheloos River catchment\" Desalination and Water Treatment, vol. 57, Sep,2016, pp.11540\u201311549."]}
Water resources management includes several disciplines; the modeling of rainfall-runoff relationship is the most important discipline to prevent natural risks. There are several models to study rainfall-runoff relationship in watersheds. However, the majority of these models are not applicable in all basins of the world. In this study, a new stochastic method called The Only Corresponding Competitor method (OCC) was used for the hydrological modeling of M’ZAB Watershed (South East of Algeria) to adapt a few empirical models for any hydrological regime. The results obtained allow to authorize a certain number of visions, in which it would be interesting to experiment with hydrological models that improve collectively or separately the data of a catchment by the OCC method.
OCC, Empirical model, modeling, rainfall-runoff relationship.
OCC, Empirical model, modeling, rainfall-runoff relationship.
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