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Assessment of the SWAT Model and the Parameters Affecting the Flow Simulation in the Watershed of Oued Laou (Northern Morocco)

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This study evaluated the Soil and Water Assessment Tool (SWAT) model performance for modeling the portioning of rainfall in the Laou watershed (area: 940 km2) that extended over two different climatic settings in Morocco, (the Mediterranean sub-humid and the semi-arid). This research also investigated the significant parameters that affect the stream flow simulation. SWAT model was constructed during the period from 2004 to 2011. The modeled stream flow data was manually calibrated using flow gauges daily from 2004 to 2008 and validated for the volumetric flows from 2009 to 2011. SWAT model results indicate that 60% of the stream is provided by the base flow. The sensitivity analysis showed that out of 28 parameters, only 6 revealed meaningful effects on the flow simulation (CN2, ESCO, SOL_AWC, ALPHA_BF, CH_N2, CH_k2) and have the most significant influence. The model proved to be very sensitive to the base flow. Furthermore our outcome indicates that SWAT can successfully replicate the daily stream flows in Laou watershed with Nash-Sutcliffe (NSE) coefficients in the range of 0.76–0.84, R2 of 0.74–0.82, RSR of 0.52–0.41 and PBIS of 12.24–8.93 respectively. In addition SWAT was found to be suitable for both climatic regions in Laou watershed. These results reinforced the multi-functionality and reliability of SWAT as a hydrological model and a relevant tool for water resources management and controls.
Słowa kluczowe
Rocznik
Strony
104--113
Opis fizyczny
Bibliogr. 39 poz., rys., tab.
Twórcy
  • University Abdelmalek Essaadi, Faculty of Sciences Tétouan, Mhannecch II B P 2121 93002 Tétouan, Morocco
  • University Abdelmalek Essaadi, Faculty of Sciences Tétouan, Mhannecch II B P 2121 93002 Tétouan, Morocco
autor
  • University Abdelmalek Essaadi, Faculty of Sciences Tétouan, Mhannecch II B P 2121 93002 Tétouan, Morocco
  • Laboratory of Georesources and Environment, USMBA, Faculty of Sciences and Techniques, Fez 30000, Morocco
  • University of Seville, Geography Regional Analysis and Physical Geoprahy Andalusian Geographic Studies, Seville, Spain
  • University Abdelmalek Essaadi, National School of Applied Sciences, Mhannecch II Tétouan, Morocco
  • Department of Water Quality, Hydrological Basin Agency of Loukkos, Tetouan, Morocco
Bibliografia
  • 1. Ang, R. et Oeurng, C. 2017. Simulating stream fl ow in an ungauged catchment of Tonlesap Lake Basin in Cambodia using Soil and Water Assessment Tool ( SWAT ) model. TITLE=Water Science. doi:10.1016/j.wsj.2017.12.002
  • 2. Aqnouy, M., Eddine, J., El, S., Bouadila, A., Bouizrou, I. et Aoulad, M. R. 2018. Application of hydrological model « HEC HMS » In a Mediterranean watershed ( Oued Laou, Northern of Morocco ), 24(4), 1773-1781.
  • 3. Arnold, J. G. et Fohrer, N. 2005. SWAT2000 : current capabilities and research. hydrological processes, 572, 563-572. doi:10.1002/hyp.5611
  • 4. Arnold, J. G., Moriasi, D. N., Gassman, P. W. et White, M. J. 2012. SWAT : Model use, calibration, and validation.
  • 5. Borah, D. K. et Bera, M. 2003. watershed-scale hydrologic and nonpoint-source pollution models: review of mathematical bases. transactions of the asae, 46(6), 1553-1566.
  • 6. Bouraoui, F. (2005). Application of the SWAT model on the Medjerda river basin ( Tunisia ), 30, 497-507. doi:10.1016/j.pce.2005.07.004
  • 7. Čerkasova, N. 2018. Development of a hydrology and water quality model for a large transboundary river watershed to investigate the impacts of climate change – A SWAT application. Ecological Engineering, 124(September), 99-115. doi:10.1016/j.ecoleng.2018.09.025
  • 8. Costa, D., Avelino, R., Sára, S., Thomazini, L., Aurélio, M. et Caiado, C. 2015. Application of the SWAT hydrologic model to a tropical watershed at Brazil. Catena, 125, 206-213. doi:10.1016/j.catena.2014.10.032
  • 9. Fadil, A., Rhinane, H., Kaoukaya, A., Kharchaf, Y. et Bachir, O. A. 2011. Hydrologic Modeling of the Bouregreg Watershed (Morocco) Using GIS and SWAT Model. Journal of Geographic Information System, 3(4), 279-289. doi:10.4236/jgis.2011.34024
  • 10. Franz, K. J. et Hogue, T. S. 2011. Evaluating uncertainty estimates in hydrologic models : borrowing measures from the forecast verification community, (1884), 3367-3382. doi:10.5194/hess15–3367–2011
  • 11. Garba, H. et Chukwujama, I. A. 2016. Evaluating the performance of a hydrological model on River Kaduna discharge, 6(1), 25-29.
  • 12. Golmohammadi, G., Prasher, S., Madani, A. et Rudra, R. 2014a. Evaluating Three Hydrological Distributed Watershed Models: MIKE-SHE, APEX, SWAT, 20-39. doi:10.3390/hydrology1010020
  • 13. Golmohammadi, G., Prasher, S., Madani, A. et Rudra, R. 2014b. Evaluating Three Hydrological Distributed Watershed Models: MIKE-SHE, APEX, SWAT, (August 2016). doi:10.3390/hydrology1010020
  • 14. Haberlandt, U. 2010. Advances in Geosciences From hydrological modelling to decision support, 11-19. doi:10.5194/adgeo-27–11–2010
  • 15. Hallouz, F., Meddi, M., Mahé, G. et Alirahmani, S. 2017. Modeling of discharge and sediment transport through the SWAT model in the basin of Harraza ( Northwest of Algeria ). TITLE=Water Science. doi:10.1016/j.wsj.2017.12.004
  • 16. Halwatura, D. et Najim, M. M. M. 2013. Application of the HEC-HMS model for runoff simulation in a tropical catchment. Environmental Modelling and Software, 46, 155-162. doi:10.1016/j.envsoft.2013.03.006
  • 17. Haron, S. H., Khalid, K., Ali, M. F., Faiza, N. et Rahman, A. 2016. Application of the SWAT Hydrologic Model in Malaysia : Recent Research Application of the SWAT Hydrologic Model in Malaysia :, (March).
  • 18. J.R. Williams. 1975. Hymo flood routing*. Journal of Hydrology,26 (1975) 17–27, 26, 17-27.
  • 19. Jeffrey G. Arnold a, P. M. A. b and G. B. c et ~u.s. (1992). A comprehensive surface-groundwater flow model. Journal of Hydrologic, 142 (1993) 47–69, 142, 47-69.
  • 20. Jha, M. K. 2011. Evaluating Hydrologic Response of an Agricultural Watershed for Watershed Analysis, 604-617. doi:10.3390/w3020604
  • 21. Khalid, C. 2018. Hydrological modeling of the Mikkés watershed (Morocco) using ARCSWAT model. Sustainable Water Resources Management, 4(1), 105-115. doi:10.1007/s40899–017–0145–0
  • 22. Khatun, S. 2018. Simulation of surface runoff using semi distributed hydrological model for a Simulation of surface runoff using semi distributed hydrological model for a part of Satluj Basin : parameterization and global sensitivity analysis using SWAT CUP. Modeling Earth Systems and Environment, 0(0), 0. doi:10.1007/s40808–018–0474–5
  • 23. Leach, J. M., Kornelsen, K. C. et Coulibaly, P. 2018. Assimilation of near-real time data products into models of an urban basin. Journal of Hydrology, 563(May), 51-64. doi:10.1016/j.jhydrol.2018.05.064
  • 24. Monteith, J. (s.d.). Evaporation and environment.
  • 25. Moriasi, D., Arnold, J. et Liew, M. W. Van. 2013. Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations, (May 2007). doi:10.13031/2013.23153
  • 26. Moriasi, D. N., Gitau, M. W., Pai, N. et Daggupati, P. (2015). Hydrologic and Water Quality Models: Performance Measures and Evaluation Criteria. Transactions of the ASABE, 58(6), 1763-1785. doi:10.13031/trans.58.10715
  • 27. Nash, J. E. et Sutcliffe, J. V. 1970. River Flow Forecasting Through Conceptual Models Part I-a Discussion of Principles*. Journal of Hydrology, 10, 282-290. doi:10.1016/0022–1694(70)90255–6
  • 28. Overton, D. E. 1966. MUSKINGUM study. K is referred to as reach travel time, and X is a coefficient used to weigh the relative effects of inflow and outflow on reach storage. The effectiveness of the routing system depends on factual estimates of the coefficients. An atte. Journal of Hydrology, 4.
  • 29. Pachepsky, Y. A., Martinez, G., Pan, F., Wagener, T. et Nicholson, T. 2016. Evaluating Hydrological Model Performance using Information Theorybased Metrics, (February), 1-24. doi:10.5194/hess2016–46
  • 30. Panhalkar, S. S. 2014. Hydrological modeling using SWAT model and geoinformatic techniques. the egyptian journal of remote sensing and space. doi:10.1016/j.ejrs.2014.03.001
  • 31. Perez-valdivia, C., Cade-menun, B. et Mcmartin, D. W. 2017. Journal of Hydrology : Regional Studies Hydrological modeling of the pipestone creek watershed using the Soil Water Assessment Tool ( SWAT ): Assessing impacts of wetland drainage on hydrology. Journal of Hydrology: Regional Studies, 14(June), 109-129. doi:10.1016/j.ejrh.2017.10.004
  • 32. Polanco, E. I., Fleifle, A., Ludwig, R. et Disse, M. 2017. Improving SWAT model performance in the upper Blue Nile Basin using meteorological data integration and subcatchment discretization, 4907-4926.
  • 33. Quan, Z., Teng, J., Sun, W., Cheng, T. et Zhang, J. 2015. Evaluation of the HYMOD model for rainfall-runoff simulation using the GLUE method. IAHS-AISH Proceedings and Reports, 368(August 2014), 180-185. doi:10.5194/piahs-368–180–2015
  • 34. S.L. Neitsch, J.G. Arnold, J.R. Kiniry, J. R. W. 2009. Soil & Water Assessment Tool Theoretical Documentation Version 2009. Texas Water Resources Institute Technical Report No. 406 Texas A&M University System, College St.
  • 35. Savvidou, E., Efstratiadis, A., Koussis, A. D., Koukouvinos, A. et Skarlatos, D. 2018. The curve number concept as a driver for delineating Hydrological Response Units. Water (Switzerland), 10(2). doi:10.3390/w10020194
  • 36. Shcherbakov, M. V. et Brebels, A. 2013. A Survey of Forecast Error Measures, 24(4), 171-176. doi:10.5829/idosi.wasj.2013.24.itmies.80032
  • 37. Sith, R. et Nadaoka, K. 2017. Comparison of SWAT and GSSHA for High Time Resolution Prediction of Stream Flow and Sediment Concentration in a Small Agricultural Watershed. Hydrology, 4(2), 27. doi:10.3390/hydrology4020027
  • 38. Skahill, B. E. 2004. Use of the Hydrological Simulation Program – FORTRAN ( HSPF ) Model for Watershed Studies. System-wide Modeling, Assessment, (September).
  • 39. Tuppad, P., Mankin, K. R. D., Lee, T., Srinivasan, R. et Arnold, J. G. 2011. soil and water assessment tool (swat) hydrologic/water quality model: extended capability and wider adoption. American Society of Agricultural and Biological Engineers ISSN 2151–0032, 54(2007), 1677-1684.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9239a1f0-98ed-4dd2-a47b-9251f14625d2
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