Model Library

Capabilities

• The MIKE SHE system models hydrologic processes like surface and groundwater flow, evapotranspiration, and surface-subsurface interactions, while also simulating water quality (sediment, mineral, and chemical transport) and managing water uses, including irrigation, pump wells, and water-barrier structures;
• It effectively captures spatial heterogeneity and provides a detailed, physically based representation of integrated surface-subsurface hydrological processes (Ma et al., 2016);
• It supports input from a variety of sources, including radar rainfall, river stage data, and groundwater levels;
• It supports both distributed, grid-based approaches and lumped conceptual methods;
• It can be utilized to investigate how hydrological processes respond to environmental factors (Ma et al., 2016).
• It has a modular design.

Limitations

• Not open-source;
• Large amount of input variables and parameters necessary to run the model (Christiaens and Feyen, 2001);
• The model is an extreme simplification of reality where equations cannot guarantee description of the actual complex three-dimensional spatially heterogeneous and time varying system (Refsgaard et al., 2010; Ma et al., 2016);
• High degree of uncertainty in estimating the grid square values (Refsgaard et al., 2010; Ma et al., 2016);
• The model remains a lumped model at a more sophisticated level (Refsgaard et al., 2010; Ma et al., 2016);
• Predictive uncertainty (Ma et al., 2016);
• The model does not simulate vegetation dynamics under hillslope processes, changing chemical climate, or forest species shift (Sun et al., 2023).

Inputs

Topography data, LULC data, Soil data, Boundary conditions, Initial conditions, Meteorological data, Hydrogeological data (Sub-catchment delineation, River morphology, Subsurface geology), Hydrological data, Water quality data

Outputs

• Maps/animations/tables/graphs/reports of time-series simulation of hydrological (surface water, groundwater) and water quality parameters (nutrients, pesticides, nutrient leaching, nutrient cycles, nutrient reductions, nutrient transport)
• Scenario analysis.

References

Liu, R., Li, Z., Xin, X., Liu, D., Zhang, J., & Yang, Z. (2022). Water balance computation and water quality improvement evaluation for Yanghe Basin in a semiarid area of North China using coupled MIKE SHE/MIKE 11 modeling. Water Supply, 22(1), 1062–1074. https://doi.org/10.2166/ws.2021.214

Peng, K., Li, J., Zhou, X., Li, H., Xie, W., Zhang, K., & Ullah, Z. (2023). Simulation and control of non-point source pollution based on MIKE model: A case study of Danjiang river basin, China. Ecohydrology & Hydrobiology, 23(4), 554–568. https://doi.org/10.1016/j.ecohyd.2023.08.001

Objectives

The objectives of this study were: (1) to investigate hydrological water balance components under different precipitation conditions in Yanghe Basin, and (2) to evaluate water quality improvement of Yanghe for different implementation scenarios of water quality control measures.

The objectives of this study were: (1) To construct the MIKE SHE/MIKE HYDRO River coupling model; 2) To analyze the spatial and temporal distribution characteristics of agricultural NPS pollution and to perform equivalence loads analysis of pollutants in the basin; 3) To set up single and combined control measures to simulate the reduction effect of each pollutant and propose management measures for NPS pollution control in the basin