Evaluation of MIKE SHE and MIKE 11 Models for Simulating the Hydrology of Surface Water and Groundwater in the Foumanat Plain Aquifer

Document Type : Applied Article

Authors

• Maryam Sodori ¹
• Somaye Janatrostami ²
• Kourosh Mohammadi ³

¹ Department of Water Engineering, Faculty of Agricultural Sciences, University of Guilan, Rasht, Iran.

² Department of Water Engineering, Faculty of Agricultural Sciences, University of Guilan, Rasht, Iran

³ HLV2K Engineering Limited, Mississauga, Ontario, Canada

10.22067/jwsd.v11i3.2405-1327

Abstract

Shallow alluvial aquifers in watersheds with multiple rivers experience complex hydrological and hydraulic interactions among different subsystems, such as the aerated zone, groundwater, and surface water. In such aquifers, combining hydrological models of surface water and groundwater is crucial for accurately simulating and describing these processes. This study focused on developing and evaluating the MIKE SHE integrated hydrological model and the MIKE 11 hydrodynamic model to simulate hydrological and hydraulic processes in the Foumanat aquifer. To establish a dependable model, groundwater levels and river flow were concurrently calibrated at the control points of observation wells and hydrometric stations within the study area. Calibration was performed based on sensitivity analysis, utilizing parameters such as saturated hydraulic conductivity, leakage coefficients, and Manning's roughness coefficient. Despite the natural heterogeneity of the region, the model demonstrated satisfactory performance, yielding an absolute error of less than one for groundwater level estimation and less than 0.5 for flow rate estimation at the hydrometric stations. During the wet season (October to March), the combined evaporation and transpiration (ETa) amounts to 0.4 times the total rainfall. In contrast, during the dry season (April to September), the combined evaporation and transpiration (ETa) equates to 7.3 times the total rainfall, emerging as the main contributor to water loss. These findings apply to a dry year, implying that these ratios would increase in dry and average years. 

Keywords

• Groundwater–Surface Water Interaction
• Hydrological–Hydraulic Modeling
• MIKE SHE
• MIKE 11

Main Subjects

• Surface and Groundwater Resources

---

References

Akram, F., Rasul, M.G., Khan, M.M.K., & Amir, M.S.I.I. (2012). A Comparative View of Groundwater Flow Simulation Using Two Modelling Software - MODFLOW and MIKE SHE. 18th Australasian Fluid Mechanics Conference. Launceston, Australia. 
Allen, R., PEREIRA, L., RAES, D., & SMITH, M. (1998). Crop Evapotranspiration (guidelines for computing crop water requirements). FAO, Paper No. 56. Water Resources, Development and Management Service. Rome, Italy.
Allen R.G., Pruitt W.O., Wright J.L., Howell T.A., Ventura F., Snyder R., Itenfisu D., Steduto P., Berengena J., Yrisarry J.B., Smith M., Pereira L.S., Raes D., Perrier A., Alves I., Walter I., & Elliott R.L. (2006). A recommendation on standardized surface resistance for hourly calculation of reference ETo by the FAO 56 Penman-Monteith method. Agricultural Water Management, 81(1), 1-22. doi.org/10.1016/j.agwat.2005.03.007
Bizhanimanzar, M., Leconte, R., & Nuth, M. (2019). Modelling of shallow water table dynamics using conceptual and physically based integrated surface-water–groundwater hydrologic models. Hydrology and Earth System Sciences, 23(5), 2245–2260. doi: 10.5194/hess-23-2245-2019
Bizhanimanzar, M., Leconte, R., & Nuth, M. (2020). Catchment-Scale Integrated Surface Water-Groundwater Hydrologic Modelling Using Conceptual and Physically Based Models: A Model Comparison Study. Water, 12(2), 363. doi: 10.3390/w12020363
Botero-Acosta, A., Chu, M.L., & Huang, C. (2018). Impacts of environmental stressors on nonpoint source pollution in intensively managed hydrologic systems. Journal of Hydrology, 579, 124056.  doi: 10.1016/j.jhydrol.2019.124056
Doummar, J., Sauter, M., & Geyer, T. (2012). Simulation of flow processes in a large-scale karst system with an integrated catchment model (Mike She) – Identification of relevant parameters influencing spring discharge. Journal of Hydrology, 426–427, 112-123. doi: 10.1016/j.jhydrol.2012.01.021
Golmohammadi, G., Prasher, S., Madani, A., & Rudra, R. (2014). Evaluating Three Hydrological Distributed Watershed Models: MIKE-SHE, APEX, SWAT. Hydrology, 1(1), 20-39. doi: 10.3390/hydrology1010020
Graham, D.N., & Butts, M. B. (2005). Flexible, integrated watershed modelling with MIKE SHE. In Watershed Models, Editors: V.P. Singh & D.K. Frevert, Pages 245-272, CRC Press. Boca Raton, Florida.
Guermazi, E., Milano, M., Reynard, E., & Zairi, M. (2019). Impact of climate change and anthropogenic pressure on the groundwater resources in arid environment. Mitigation and Adaptation Strategies for Global Change, 24(1), 73-92. doi: 10.1007/s11027-018-9797-9
Margarita Ntona, M., Busico, G., Mastrocicco, M., & Kazakis, N. (2022). Modeling groundwater and surface water interaction: An overview of current status and future challenges. Science of the Total Environment, 846, 157355. doi: 10.1016/j.scitotenv.2022.157355
Prucha, B., Graham, D., Watson, M., Avenant, M., Esterhuyse, S., Joubert, A., Kemp, M., King, J., Roux, P., Redelinghuys, N., Rossouw, L., Rowntree, K., Seaman, M., Sokolic, F., Rensburg, L., Waal, B., Tol, J., & Vos, T. (2016). MIKE-SHE integrated groundwater and surface water model used to simulate scenario hydrology for input to DRIFT-ARID: the Mokolo River case study. Water SA, 42(3), 384-398. doi: 10.4314/wsa.v42i3.03
Sandu, M., & Virsta, A. (2015). Applicability of MIKE SHE to Simulate Hydrology in Argesel River Catchment. Agriculture and Agricultural Science Procedia, 6, 517–524. doi: 10.1016/j.aaspro.2015.08.135
Shu, Y., Villholth, K. G., Jensen, K.H., Stisen, S., & Lei, Y. (2012). Integrated hydrological modeling of the North China Plain: Options for sustainable groundwater use in the alluvial plain of Mt. Taihang. Journal of Hydrology, 464-465, 79-93. Doi:10.1016/j.jhydrol.2012.06.048.
Shu, Y., Li, H., & Lei, Y. (2018). Modelling Groundwater Flow with MIKE SHE Using Conventional Climate Data and Satellite Data as Model Forcing in Haihe Plain, China. Water, 10(10), 1295. doi: 10.3390/w10101295
Sophocleous, M. (1985). The Role of Specific Yield in Ground-Water Recharge Estimations: A Numerical Study. Groundwater, 23, 52–58. doi: 10.1111/j.1745-6584.1985.tb02779.x
Sterte, E.J., Johansson, E., Sjöberg, Y., Karlsen, R. H., & Laudon, H. (2018). Groundwater-surface water interactions across scales in a boreal landscape investigated using a numerical modeling approach. Journal of Hydrology, 560, 184–201. doi: 10.1016/j.jhydrol.2018.03.011
Voeckler, H.M., Allen, D.M., & Alila, Y. (2014). Modeling coupled surface water groundwater processes in a small mountainous headwater catchment. Journal of Hydrology, 517, 1089–1106. doi: 10.1016/j.jhydrol.2014.06.015
Waseem, M., Kachholz, F., Klehr, W., & Tränckner, J. (2020). Suitability of a Coupled Hydrologic and Hydraulic Model to Simulate Surface Water and Groundwater Hydrology in a Typical North-Eastern Germany Lowland Catchment. Applied sciences, 10(4),1281. doi: 10.3390/app10041281
Zhang, X., Zwiers, F.W., Hegerl, G.C., Lambert, F.H., Gillett, N.P., Solomon, S., Stott, P.A., & Nozawa, T. (2007). Detection of human influence on twentieth-century precipitation trends. Nature, 448, 461–465.doi: 10.1038/nature06025
Zhang, J., Zhang, M., Song, Y., & Lai, Y. (2021). Hydrological simulation of the Jialing River Basin using the MIKE SHE model in changing climate. Journal of Water and Climate change, 12(6), 2495-2514. doi: 10.2166/wcc.2021.253
Wu, W., Yang, Z., Tian, B., Huang, Y., Zhou, Y., & Zhang, T. (2018). Impacts of coastal reclamation on wetlands: Loss, resilience, and sustainable management. Estuarine, Coastal and Shelf Science 210, 153-161. doi.org/10.1016/j.ecss.2018.06.013