Simulation of rainfall-runoff process using SWAT model in Bouhamdane Watershed, Algeria

Brahim Abdelkebir, Mourad Guesri, Elhadj Mokhtari, Bernard Engel

Abstract


The current research examines the runoff response in the Bouhamdane watershed in Algeria using the soil and water assessment tool (SWAT). The SWAT model is applied for the Bouhamane watershed, which includes three sub-watersheds and 45 Hydraulic Response Units (HRUs). To assess the ability and effectiveness of the model, one-gauge station in the basin (sabat) was chosen. Monthly discharge flow data are sourced from Algeria's National Water Resources Agency (NWRA). The soil and water assessment tool calibration uncertainty programs (SWAT-CUPs) with the sequential uncertainty fitting (SUFI 2) algorithm were used to calibrate and validate the model. The model was run from 1985 to 2004, with a calibration period between 1985 and 1994 and a validation period between 1995 and 2005. The model's runoff simulation efficiency has been improved by adjusting watershed input parameters. The SWAT model's performance was assessed statistically (coefficient of determination [R2], Nash-Sutcliffe Efficiency Coefficient [NSE], and Percent BIAS [PBIAS]). The monthly calibration R2, NSE, and PBIAS were 0.89, 0.68, and 43, respectively, and the monthly validation R2, NSE, and PBIAS were 0.78, 0.76, and 10.4, respectively. These results support that the SWAT model is an effective tool for simulating the surface runoff of the Bouhamdane watershed.

Key words: Bouhamdane watershed, SWAT, sensitivity, surface runoff

? 2023?Serbian Geographical Society, Belgrade, Serbia.

This article is an open access article distributed under the terms and conditions of the?Creative Commons Attribution-NonCommercial-NoDerivs?3.0 Serbia.


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Abdelkebir, B., Maoui, A., Mokhtari, E., Engel, B., Chen, J., & Aboelnour, M. (2021). Evaluating Low-Impact Development practice performance to reduce runoff volume in an urban watershed in Algeria. Arabian Journal of Geosciences, 14(9), 0?10. https://doi.org/10.1007/s12517-021-07178-0

Adane, G. B., Hirpa, B. A., Gebru, B. M., Song, C., & Lee, W.-K. (2021). Integrating Satellite Rainfall Estimates with Hydrological Water Balance Model: Rainfall-Runoff Modeling in Awash River Basin, Ethiopia. Water, 13(6), 800. https://doi.org/10.3390/w13060800

Alazzy, A. A., L?, H., & Zhu, Y. (2015). Assessing the Uncertainty of the Xinanjiang Rainfall-Runoff Model: Effect of the Likelihood Function Choice on the GLUE Method. Journal of Hydrologic Engineering, 20(10). https://doi.org/10.1061/(asce)he.1943-5584.0001174

Aqnouy, M., Ahmed, M., Ayele, G. T., Bouizrou, I., Bouadila, A., & Stitou El Messari, J. E. (2023). Comparison of Hydrological Platforms in Assessing Rainfall-Runoff Behavior in a Mediterranean Watershed of Northern Morocco. Water, 15(3), 447. https://doi.org/10.3390/w15030447

Arnold, J. G., Srinivasan, R., Muttiah, R. S., & Williams, J. R. (1998). Large area hydrologic modeling and assessment part I: Model development. Journal of the American Water Resources Association, 34(1), 73?89. https://doi.org/10.1111/j.1752-1688.1998.tb05961.x

Atkinson, H. D. E., Johal, P., Falworth, M. S., Ranawat, V. S., Dala-Ali, B., & Martin, D. K. (2010). Adductor tenotomy: Its role in the management of sports-related chronic groin pain. Archives of Orthopaedic and Trauma Surgery, 130(8), 965?970. https://doi.org/10.1007/s00402-009-1032-4

Azizian, A., & Shokoohi, A. (2015). Investigation of the Effects of DEM Creation Methods on the Performance of a Semidistributed Model: TOPMODEL. Journal of Hydrologic Engineering, 20(11). https://doi.org/10.1061/(asce)he.1943-5584.0001204

Belayneh, A., Sintayehu, G., Gedam, K., & Muluken, T. (2020). Evaluation of satellite precipitation products using HEC-HMS model. Modeling Earth Systems and Environment, 6(4), 2015?2032. https://doi.org/10.1007/s40808-020-00792-z

Chadalawada, J., Herath, H. M. V. V., & Babovic, V. (2020). Hydrologically Informed Machine Learning for Rainfall?Runoff Modeling: A Genetic Programming?Based Toolkit for Automatic Model Induction. Water Resources Research, 56(4), 1-23. https://doi.org/10.1029/2019WR026933

Del Giudice, G., & Padulano, R. (2016). Sensitivity Analysis and Calibration of a Rainfall-runoff Model with the Combined Use of EPA-SWMM and Genetic Algorithm. Acta Geophysica, 64(5), 1755?1778. https://doi.org/10.1515/acgeo-2016-0062

Ghumman, A. R., Al-Salamah, I. S., AlSaleem, S. S., & Haider, H. (2017). Evaluating the impact of lower resolutions of digital elevation model on rainfall-runoff modeling for ungauged catchments. Environmental Monitoring and Assessment, 189(2), Article 54. https://doi.org/10.1007/s10661-017-5766-0

Jaberzadeh, M., Saremi, A., Ghorbanizadeh Kharazi, H., & Babazadeh, H. (2022). SWAT and IHACRES models for the simulation of rainfall-runoff of Dez watershed. Climate Dynamics. https://doi.org/10.1007/s00382-022-06215-2

Jakada, H., & Chen, Z. (2020). An approach to runoff modelling in small karst watersheds using the SWAT model. Arabian Journal of Geosciences, 13(8), Article 318. https://doi.org/10.1007/s12517-020-05291-0

Jimeno-S?ez, P., Senent-Aparicio, J., P?rez-S?nchez, J., & Pulido-Velazquez, D. (2018). A comparison of SWAT and ANN models for daily runoff simulation in different climatic zones of peninsular Spain. Water (Switzerland), 10(2). https://doi.org/10.3390/w10020192

Karki, M. (2020). Simulation of Rainfall -Runoff of Kankai River Basin Using SWAT Model: A Case Study of Nepal. International Journal for Research in Applied Science and Engineering Technology, 8(8), 308?326. https://doi.org/10.22214/ijraset.2020.30867

Kebede, A. B. (2019). Influence of Soil Type in Stream Flow and Runoff Modeled for the Upper Didessa Catchment Southwest Ethiopia Using Swat Model. Journal of Sedimentary Environments, 4(4), 444?457. https://doi.org/10.12957/jse.2019.47322

Kirchner, J. W. (2009). Catchments as simple dynamical systems: Catchment characterization, rainfall-runoff modeling, and doing hydrology backward. Water Resources Research, 45(2), 1-34. https://doi.org/10.1029/2008WR006912

Kratzert, F., Klotz, D., Brenner, C., Schulz, K., & Herrnegger, M. (2018). Rainfall?runoff modelling using Long Short-Term Memory (LSTM) networks. Hydrology and Earth System Sciences, 22(11), 6005?6022. https://doi.org/10.5194/hess-22-6005-2018

LV, Z., Zuo, J., & Rodriguez, D. (2020). Predicting of Runoff Using an Optimized SWAT-ANN: A Case Study. Journal of Hydrology: Regional Studies, 29. https://doi.org/10.1016/j.ejrh.2020.100688

Mahtsente, T., Assefa, M. M., & Dereje, H. (2017). Rainfall-runoff relation and runoff estimation for Holetta River, Awash subbasin, Ethiopia using SWAT model. International Journal of Water Resources and Environmental Engineering, 9(5), 102?112. https://doi.org/10.5897/ijwree2015.0601

Mokhtari, E., Mezali, F., Abdelkebir, B., & Engel, B. (2023). Flood risk assessment using analytical hierarchy process: A case study from the Cheliff-Ghrib watershed, Algeria. Journal of Water and Climate Change, 14(3). https://doi.org/10.2166/wcc.2023.316

Nourani, V., Komasi, M., & Mano, A. (2009). A Multivariate ANN-Wavelet Approach for Rainfall?Runoff Modeling. Water Resources Management, 23(14), 2877?2894. https://doi.org/10.1007/s11269-009-9414-5

Pang, S., Wang, X., Melching, C. S., & Feger, K. H. (2020). Development and testing of a modified SWAT model based on slope condition and precipitation intensity. Journal of Hydrology, 588, Article 125098. https://doi.org/10.1016/j.jhydrol.2020.125098

Panhalkar, S. S. (2014). Hydrological modeling using SWAT model and geoinformatic techniques. Egyptian Journal of Remote Sensing and Space Science, 17(2), 197?207. https://doi.org/10.1016/j.ejrs.2014.03.001

Ruan, H., Zou, S., Yang, D., Wang, Y., Yin, Z., Lu, Z., Li, F., & Xu, B. (2017). Runoff simulation by SWAT model using high-resolution gridded precipitation in the upper Heihe River Basin, Northeastern Tibetan Plateau. Water (Switzerland), 9(11). https://doi.org/10.3390/w9110866

Rujner, H., Leonhardt, G., Marsalek, J., & Viklander, M. (2018). High-resolution modelling of the grass swale response to runoff inflows with Mike SHE. Journal of Hydrology, 562(5), 411?422. https://doi.org/10.1016/j.jhydrol.2018.05.024

Saghafian, B., Meghdadi, A. R., & Sima, S. (2015). Application of the WEPP model to determine sources of run-off and sediment in a forested watershed. Hydrological Processes, 29(4), 481?497. https://doi.org/10.1002/hyp.10168

Sime, C. H., Demissie, T. A., & Tufa, F. G. (2020). Surface runoff modeling in Ketar watershed, Ethiopia. Journal of Sedimentary Environments, 5(1), 151?162. https://doi.org/10.1007/s43217-020-00009-4

Tasdighi, A., Arabi, M., & Harmel, D. (2018). A probabilistic appraisal of rainfall-runoff modeling approaches within SWAT in mixed land use watersheds. Journal of Hydrology, 564, 476?489. https://doi.org/10.1016/j.jhydrol.2018.07.035

Tomy, T., & Sumam, K. S. (2016). Determining the Adequacy of CFSR Data for Rainfall-Runoff Modeling Using SWAT. Procedia Technology, 24, 309?316. https://doi.org/10.1016/j.protcy.2016.05.041

Troin, M., Vallet-Coulomb, C., Piovano, E., & Sylvestre, F. (2012a). Rainfall-runoff modeling of recent hydroclimatic change in a subtropical lake catchment: Laguna Mar Chiquita, Argentina. Journal of Hydrology, 475, 379?391. https://doi.org/10.1016/j.jhydrol.2012.10.010

Troin, M., Vallet-Coulomb, C., Piovano, E., & Sylvestre, F. (2012b). Rainfall?runoff modeling of recent hydroclimatic change in a subtropical lake catchment: Laguna Mar Chiquita, Argentina. Journal of Hydrology, 475, 379?391. https://doi.org/10.1016/j.jhydrol.2012.10.010

Wu, C. L., & Chau, K. W. (2011). Rainfall?runoff modeling using artificial neural network coupled with singular spectrum analysis. Journal of Hydrology, 399(3?4), 394?409. https://doi.org/10.1016/j.jhydrol.2011.01.017

Xie, H., Shen, Z., Chen, L., Lai, X., Qiu, J., Wei, G., Dong, J., Peng, Y., & Chen, X. (2019). Parameter estimation and uncertainty analysis: A comparison between continuous and event-based modeling of streamflow based on the Hydrological Simulation Program-Fortran (HSPF) model. Water (Switzerland), 11(1). https://doi.org/10.3390/w11010171

Zakizadeh, H., Ahmadi, H., Zehtabian, G., Moeini, A., & Moghaddamnia, A. (2020). A novel study of SWAT and ANN models for runoff simulation with application on dataset of metrological stations. Physics and Chemistry of the Earth, Parts A/B/C, 120, Article 102899. https://doi.org/10.1016/j.pce.2020.102899

Zhou, Q., Chen, L., Singh, V. P., Zhou, J., Chen, X., & Xiong, L. (2019). Rainfall-runoff simulation in karst dominated areas based on a coupled conceptual hydrological model. Journal of Hydrology, 573, 524?533. https://doi.org/10.1016/j.jhydrol.2019.03.099

Zorratipour, M., Zarei, H., Sharifi, M. R., & Radmanesh, F. (2021). Hydrological Simulation of Bakhtegan Basin in Iran Using the SWAT Model. Irrigation Science, 44(2), 39-51. https://doi.org/10.22055/jise.2021.36821.1964


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