Application of the SWAT model for water budgeting and water resource planning in Oued Cherraa basin (northeastern Morocco)

Mohammed Laaboudi, Abdelhamid Mezrhab, Zahar Elkheir Alioua, Ali Achebour, Mohammed Sahil, Wadii Snaibi, Said Elyagoubi

Article ID: 10602
Vol 8, Issue 1, 2025

VIEWS - 388 (Abstract)

Abstract


This study focuses on the use of the Soil and Water Assessment Tool (SWAT) model for water budgeting and resource planning in Oued Cherraa basin. The combination of hydrological models such as SWAT with reliable meteorological data makes it possible to simulate water availability and manage water resources. In this study, the SWAT model was employed to estimate hydrological parameters in the Oued Cherra basin, utilizing meteorological data (2012–2020) sourced from the Moulouya Hydraulic Basin Agency (ABHM). The hydrology of the basin is therefore represented by point data from the Tazarhine hydrological station for the 2009–2020 period. In order to optimize the accuracy of a specific model, namely SWAT-CUP, a calibration and validation process was carried out on the aforementioned model using observed flow data. The SUFI-2 algorithm was utilized in this process, with the aim of enhancing its precision. The performance of the model was then evaluated using statistical parameters, with particular attention being given to Nash-Sutcliffe efficiency (NSE) and coefficient of determination (R2). The NSE values for the study were 0.58 for calibration and 0.60 for validation, while the corresponding R2 values were 0.66 and 0.63. The study examined 16 hydrological parameters for Oued Cherra, determining that evapotranspiration accounted for 89% of the annual rainfall, while surface runoff constituted only 6%. It also showed that groundwater recharge was pretty much negligible. This emphasized how important it is to manage water resources effectively. The calibrated SWAT model replicated flow patterns pretty well, which gave us some valuable insights into the water balance and availability. The study’s primary conclusions were that surface water is limited and that shallow aquifers are a really important source of water storage, especially for irrigation during droughts.


Keywords


SWAT model; water budgeting; Oued Cherraa watershed; evapotranspiration; groundwater recharge; sustainable water management

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References


1. Singh A. Conjunctive use of water resources for sustainable irrigated agriculture. Journal of Hydrology. 2014; 519: 1688-1697. doi: 10.1016/j.jhydrol.2014.09.049

2. Dovie DBK, Kasei RA. Hydro-climatic stress, shallow groundwater wells and coping in Ghana’s White Volta basin. Science of The Total Environment. 2018; 636: 1268-1278. doi: 10.1016/j.scitotenv.2018.04.416

3. Prabhanjan A, Rao EP, Eldho TI. Application of SWAT Model and Geospatial Techniques for Sediment-Yield Modeling in Ungauged Watersheds. Journal of Hydrologic Engineering. 2015.

4. Samimi M, Mirchi A, Moriasi D, et al. Modeling arid/semi-arid irrigated agricultural watersheds with SWAT: Applications, challenges, and solution strategies. Journal of Hydrology. 2020; 590: 125418. doi: 10.1016/j.jhydrol.2020.125418

5. Ross A. Speeding the transition towards integrated groundwater and surface water management in Australia. Journal of Hydrology. 2018; 567: e1-e10. doi: 10.1016/j.jhydrol.2017.01.037

6. Du E, Tian Y, Cai X, et al. Evaluating Distributed Policies for Conjunctive Surface Water‐Groundwater Management in Large River Basins: Water Uses Versus Hydrological Impacts. Water Resources Research. 2022; 58(1). doi: 10.1029/2021wr031352

7. Ridoutt BG, Eady SJ, Sellahewa J, et al. Water footprinting at the product brand level: case study and future challenges. Journal of Cleaner Production. 2009; 17(13): 1228-1235. doi: 10.1016/j.jclepro.2009.03.002

8. Vairavamoorthy K, Gorantiwar SD, Pathirana A. Managing urban water supplies in developing countries—Climate change and water scarcity scenarios. Physics and Chemistry of the Earth, Parts A/B/C. 2008; 33(5): 330-339. doi: 10.1016/j.pce.2008.02.008

9. Sabale R, Venkatesh B, Jose M. Sustainable water resource management through conjunctive use of groundwater and surface water: a review. Innovative Infrastructure Solutions. 2022; 8(1). doi: 10.1007/s41062-022-00992-9

10. Abdalla OAE. Groundwater modeling in semiarid Central Sudan: adequacy and long-term abstraction. Arabian Journal of Geosciences. 2009; 2(4): 321-335. doi: 10.1007/s12517-009-0042-4

11. Baalousha HM. Development of a groundwater flow model for the highly parameterized Qatar aquifers. Modeling Earth Systems and Environment. 2016; 2(2). doi: 10.1007/s40808-016-0124-8

12. Kaleris V, Langousis A. Comparison of two rainfall–runoff models: effects of conceptualization on water budget components. Hydrological Sciences Journal. 2016; 62(5): 729-748. doi: 10.1080/02626667.2016.1250899

13. Sabale RS, Bobade SS, Venkatesh B, et al. Application of Arc-SWAT Model for Water Budgeting and Water Resource Planning at the Yeralwadi Catchment of Khatav, India. Nature Environment and Pollution Technology; 2024.

14. Oki T, Agata Y, Kanae S, et al. Global assessment of current water resources using total runoff integrating pathways. Hydrological Sciences Journal. 2001; 46(6): 983-995. doi: 10.1080/02626660109492890

15. Neitsch SL, Arnold J, Kiniry J, et al. Soil & Water Assessment Tool Theoretical Documentation Version 2009. Texas Water Resour; 2009.

16. Liu L, Cui Y, Luo Y. Integrated Modeling of Conjunctive Water Use in a Canal-Well Irrigation District in the Lower Yellow River Basin, China. Journal of Irrigation and Drainage Engineering. 2013.

17. Carlier P. Triffa Plain: Water Resources of Morocco: 1. Domains of the Rif and Eastern Morocco, Notes&Mém (French). Serv. Géol; 1971.

18. Laouina, A. Le Maroc nord-oriental: reliefs, modelés et dynamique du calcaire. [Master’s thesis]. Univ. Paris I, Paris; 1990.

19. Laaboudi M, Mezrhab A, Alioua ZE, et al. Analyzing Water Availability Via the SWAT Hydrological Model in Oued Cherraa Basin (Northeastern Morocco). Water Conservation Science and Engineering. 2024; 9(2). doi: 10.1007/s41101-024-00290-8

20. Farr TG, Rosen PA, Caro E, et al. The Shuttle Radar Topography Mission. Reviews of Geophysics. 2007; 45(2). doi: 10.1029/2005rg000183

21. Rafik A, Ait Brahim Y, Amazirh A, et al. Groundwater level forecasting in a data-scarce region through remote sensing data downscaling, hydrological modeling, and machine learning: A case study from Morocco. Journal of Hydrology: Regional Studies. 2023; 50: 101569. doi: 10.1016/j.ejrh.2023.101569

22. Sharpley AN, Williams JR. EPIC, erosion/productivity impact calculator. Tech. Bull; 1990.

23. Arnold JG, Srinivasan R, Muttiah RS, et al. Large Area Hydrologic Modeling and Assessment Part I: Model Development1. Jawra Journal of the American Water Resources Association. 1998; 34(1): 73-89. doi: 10.1111/j.1752-1688.1998.tb05961.x

24. Kim NW, Chung IM, Won YS, et al. Development and application of the integrated SWAT–MODFLOW model. Journal of Hydrology. 2008; 356(1-2): 1-16. doi: 10.1016/j.jhydrol.2008.02.024

25. Eini MR, Massari C, Piniewski M. Satellite-based soil moisture enhances the reliability of agro-hydrological modeling in large transboundary river basins. Science of The Total Environment. 2023; 873: 162396. doi: 10.1016/j.scitotenv.2023.162396

26. Gupta HV, Sorooshian S, Yapo PO. Status of Automatic Calibration for Hydrologic Models: Comparison with Multilevel Expert Calibration. Journal of Hydrologic Engineering. 1999.

27. Beven K. A manifesto for the equifinality thesis. Journal of Hydrology. 2006; 320(1-2): 18-36. doi: 10.1016/j.jhydrol.2005.07.007

28. Nash JE, Sutcliffe JV. River flow forecasting through conceptual models part I—A discussion of principles. Journal of Hydrology. 1970.

29. Santhi C, Arnold JG, Williams JR, et al. Validation of The Swat Model On A Large Rwer Basin With Point And Nonpoint Sources1. Jawra Journal of the American Water Resources Association. 2001; 37(5): 1169-1188. doi: 10.1111/j.1752-1688.2001.tb03630.x

30. Moriasi DN, Arnold JG, Van Liew MW, et al. Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations. Transactions of the ASABE. 2007; 50(3): 885-900. doi: 10.13031/2013.23153

31. Obuobie E. Estimation of groundwater recharge in the context of future climate change in the White Volta River Basin, West Africa. Available online: https://bonndoc.ulb.uni-bonn.de/xmlui/handle/20.500.11811/3712 (accessed on 7 November 2024).

32. Alitane A, Essahlaoui A, Van Griensven A, et al. Towards a Decision-Making Approach of Sustainable Water Resources Management Based on Hydrological Modeling: A Case Study in Central Morocco. Sustainability. 2022; 14(17): 10848. doi: 10.3390/su141710848

33. Boufala M, El Hmaidi A, Essahlaoui A, et al. Assessment of the best management practices under a semi-arid basin using SWAT model (case of M’dez watershed, Morocco). Modeling Earth Systems and Environment. 2021; 8(1): 713-731. doi: 10.1007/s40808-021-01123-6

34. Lamia E, Soufiane T, Souad H, et al. Semi-Distributed Modeling of a Large Scale Hydrological System Using SWAT Model. In: Proceedings of the 2020 IEEE 2nd International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS); 2020.

35. EL Garouani A, Nabunya V. Analysis of Climate Trend and Effect of Land Cover Change on Streamflow in Oued Fez Basin, Morocco. SSRN; 2023.




DOI: https://doi.org/10.24294/jgc10602

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