Abstract
The objective of this study is to apply the rainfall-runoff modeling, for the reconstruction of flows and the forecasting of hydrological risks in two sub-catchments (Bounamoussa and Kebir-Est) located in El-Taref, North-East of Algeria. Considering the geomorphological and climatic characteristics of the study region, redundant and catastrophic floods have been recorded. The available data cover a period of 39 years (1981–2019). The GR2M model (GR at monthly time step) is implemented by using two R packages; airGR and airGRteaching. These tools enable the automatic affectation of the parameters that control the two reservoirs of the GR2M model, X1 (production function) and X2 (routing function). This modeling is optimized by the parsimonious character of the model; requiring few monthly input data: rainfall, temperature and potential evapotranspiration. As for its robustness, it is provides by Michel's algorithm. The evaluation of its efficiency is determined, for the calibration and validation periods, by the Nash–Sutcliffe (NSE), Killing-Gupta (KGE) and modified Killing-Gupta (KGE′) criteria. The airGR package gives NSE (Q) and KGE (Q) values greater than 80% during the calibration period and greater than 86% during the validation period. For the airGRteaching package, the KGE′(Q) values vary from 89 to 92% for both periods. Production and routing reach values successively: (99.50 mm, 36.22 mm) in the Bounamoussa sub-catchment and (125.12 mm, 33.70 mm) in the Kebir-Est sub-catchment. Thus, this study shows the capacity of this model to correctly reproduce the flows of this basin, although heterogeneous.
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Data availability
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
References
Amireche M, Merabtene T, Bermad A, Boutoutaou D (2017) Comparative assessment between GR model and tank model for rainfall-runoff analysis using Kalman filter-application to Algerian basins. In: MATEC Web of Conferences. EDP Sciences, pp 05006
Bekhira A, Habi M, Morsli B (2018) Hydrological modeling of floods in the Wadi Bechar watershed and evaluation of the climate impact in arid zones (southwest of Algeria). Appl Water Sci 8:185. https://doi.org/10.1007/s13201-018-0834-3
Belaroui A, Haouchine FZ, Haouchine A (2019) Rainfall-runoff modeling: flow characterization of Hammam Melouane Wadi Algeria. Arab J Geosci 12:1–11. https://doi.org/10.1007/s12517-019-4610-y
Bennett JC, Wang QJ, Robertson DE et al (2017) Assessment of an ensemble seasonal streamflow forecasting system for Australia. Hydrol Earth Syst Sci 21:6007–6030. https://doi.org/10.5194/hess-21-6007-2017
Boumessenegh A, Dridi H (2022) Predetermination of flood flows by different methods: case of the catchment area of the Biskra Oued (North-East Algeria). Model Earth Syst Environ 8:1321–1333. https://doi.org/10.1007/s40808-021-01151-2
Charifi SB, Benmamar S, Dehni A (2021) Study and analysis of the streamflow decline in North Algeria. J Appl Water Eng Res 9:20–44. https://doi.org/10.1080/23249676.2020.1831974
Coron L, Thirel G, Delaigue O et al (2017) The suite of lumped GR hydrological models in an R package. Environ Model Softw 94:166–171. https://doi.org/10.1016/j.envsoft.2017.05.002
Coron L, Delaigue O, Thirel G, et al (2021) airGR: suite of gr hydrological models for precipitation-runoff modelling (v 1.6. 12). pp 97. ⟨hal-03301586⟩
Delaigue O, Thirel G, Coron L, Brigode P (2018) airGR and airGRteaching: two open-source tools for rainfall-runoff modeling and teaching hydrology. In: 13th International Conference on Hydroinformatics (HIC 2018). Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis, vol 3., Palerme, Italy, pp 541–548
Delaigue O, Thirel G, Coron L, Brigode P (2019) airGR and airGRteaching: two packages for rainfall-runoff modeling and teaching hydrology. In: 15th edition of the International R User Conference. https://hal.inrae.fr/hal-02609956. Accessed 9 Sept 2021
Ditthakit P, Pinthong S, Salaeh N et al (2021) Performance evaluation of a two-parameters monthly rainfall-runoff model in the Southern Basin of Thailand. Water 13:1226. https://doi.org/10.3390/w13091226
Duan Q, Sorooshian S, Gupta V (1992) Effective and efficient global optimization for conceptual rainfall-runoff models. Water Resour Res 28:1015–1031. https://doi.org/10.1029/91WR02985
Gupta HV, Kling H, Yilmaz KK, Martinez GF (2009) Decomposition of the mean squared error and NSE performance criteria: implications for improving hydrological modelling. J Hydrol 377:80–91. https://doi.org/10.1016/j.jhydrol.2009.08.003
Hadour A, Mahé G, Meddi M (2020) Watershed based hydrological evolution under climate change effect: an example from North Western Algeria. J Hydrol Reg Stud 28:100671. https://doi.org/10.1016/j.ejrh.2020.100671
Knoben WJ, Freer JE, Woods RA (2019) Inherent benchmark or not? Comparing Nash–Sutcliffe and Kling-Gupta efficiency scores. Hydrol Earth Syst Sci 23:4323–4331. https://doi.org/10.5194/hess-23-4323-2019
Llauca H, Lavado W, Montesinos C, Rau P (2020) Monthly semi-distributed hydrological model at national scale in Peru. In: EGU General Assembly Conference Abstracts. pp 3769
Makhlouf Z, Michel C (1994) A two-parameter monthly water balance model for French watersheds. J Hydrol 162:299–318. https://doi.org/10.1016/0022-1694(94)90233-X
Michel C (1983) Que peut-on faire en hydrologie avec modèle conceptuel à un seul paramètre? La Houille Blanche, pp 39–44
Michel C (1991) Hydrologie appliquée aux petits bassins ruraux, Hydrology hanbook
Mouelhi S (2003) Vers une chaîne cohérente de modèles pluie-débit conceptuels globaux aux pas de temps pluriannuel, annuel, mensuel et journalier. Ph.D. Thesis, Doctorat Géosciences et ressources naturelles, ENGREF Paris
Mouelhi S, Michel C, Perrin C, Andréassian V (2006) Stepwise development of a two-parameter monthly water balance model. J Hydrol 318:200–214. https://doi.org/10.1016/j.jhydrol.2005.06.014
Mouelhi S, Nemri S, Jebari S, Slimani M (2017) Coupling between a rain-runoff model, GR2M, and a rain generator to evaluate the transfer between two dams the Tunisian Semi-arid Sidi Saad and El Houareb. Int J Innov Appl Stud 19:944
NASA POWER (2021) NASA POWER | Docs | Data Services. https://power.larc.nasa.gov/docs/services/. Accessed 7 July 2021
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
Natarajan S, Radhakrishnan N (2019) Simulation of extreme event-based rainfall–runoff process of an urban catchment area using HEC-HMS. Model Earth Syst Environ 5:1867–1881. https://doi.org/10.1007/s40808-019-00644-5
Ouhamdouch S, Bahir M, Ouazar D et al (2020) Assessment the climate change impact on the future evapotranspiration and flows from a semi-arid environment. Arab J Geosci 13:1–14. https://doi.org/10.1007/s12517-020-5065-x
Perrin C (2002) Vers une amélioration d’un modèle global pluie-débit au travers d’une approche comparative. La Houille Blanche 88:84–91. https://doi.org/10.1051/lhb/2002089
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. https://doi.org/10.1016/S0022-1694(00)00393-0
Perrin C, Michel C, Andréassian V (2003) Improvement of a parsimonious model for streamflow simulation. J Hydrol 279:275–289. https://doi.org/10.1016/S0022-1694(03)00225-7
Perrin C, Michel C, Andréassian V (2007) Modèles hydrologiques du génie rural (GR). Cemagref, UR Hydrosystèmes et Bioprocédés 16
R Core Team (2019) R: The R Project for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria. https://www.r-project.org/. Accessed 5 Jul 2021
Seltzer P (1946) Les climats de l’Algerie. Trav. Inst. Met. Phys. Glo. Algerie, Hors serie
Slater LJ, Thirel G, Harrigan S et al (2019) (2019) Using R in hydrology: a review of recent developments and future directions. Hydrol Earth Syst Sci 23:2939–2963. https://doi.org/10.5194/hess-23-2939-2019
Thirel G, Delaigue O, Coron L (2021) Get started: How to run airGR models. https://hydrogr.github.io/airGR/page_1_get_started.html. Accessed 3 Sept 2021
Thornthwaite CW (1948) An approach toward a rational classification of climate. Geogr Rev 38:55–94
Verma R, Sharif M, Husain A (2022) Application of HEC-HMS for Hydrological Modeling of Upper Sabarmati River Basin, Gujarat, India. Model Earth Syst Environ. https://doi.org/10.1007/s40808-022-01411-9
Acknowledgements
We express our gratitude to the HYCAR research unit of INRAE-Antony (France) who made available to us the airGR and airGRteaching packages, the advice and the considerable support provided by Mr. Olivier Delaigue and Prof. Charles Perrin. We also thank the DRE, ANBT, and ADE El-Taref organizations for their help in the acquisition of the data.
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Yahiaoui, S., Chibane, B., Pistre, S. et al. Rainfall-runoff modeling using airGR and airGRteaching: application to a catchment in Northeast Algeria. Model. Earth Syst. Environ. 8, 4985–4996 (2022). https://doi.org/10.1007/s40808-022-01444-0
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DOI: https://doi.org/10.1007/s40808-022-01444-0