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Modelling Strategy of Deterministic Distributed Hydrological Model Development at Catchment Scale
During past decades, the progress of hydrological modeling systems have obviously raised the performance of models in representing sophisticated and complex catchment water system. Among various kinds of hydrological model, characterized by the emphasis on spatial discretization of catchment physical behaviors, the deterministic distributed hydrological model shows higher performance in producing comprehensive view of catchment hydrological phenomenon. However, the applicability of this model is still affected by its higher level of data demands, which often requests an effective modelling strategy to overcome the obstacles caused by lack of field measurements. This paper presents an optimized modelling strategy of setting up the deterministic distributed hydrological simulation (MIKE SHE) of one extreme rainfall flood occurred at November 2011 in Var catchment (2800 km2) located at French Mediterranean area. Compared to other model variables, the topography resolution shows premier sensitivity in the simulation and its impact on runoff generation has been further assessed based on a series of simulations set up with 300, 150, 100 and 50 m DEMs, respectively. Comparison among different simulated hydrographs, the impact of topography resolution in MIKE SHE simulation is mainly addressed in their representations of distributed surface slope and the channel network. By increasing the resolution of inputted topography, the simulation performance can be quickly enhanced with more accurate simulated flood peak. However, this improvement contains one threshold, which limits the effects of raising topography accuracy in the simulation after reaching a certain resolution. Integrated optimized the balance between simulation accuracy and running time consumption, the MIKE SHE simulation of extreme rainfall flood in Var catchment has been set up based on the 100 m resolution DEM with river network abstracted from 5 m DEM. At the end, the MIKE SHE simulation is well match the observation with only 8.3% difference of peak value and runs in less than 1 h (15 days simulation), which is feasible to be used in assessment of extreme event in the study area.
Modelling Strategy of Deterministic Distributed Hydrological Model Development at Catchment Scale
During past decades, the progress of hydrological modeling systems have obviously raised the performance of models in representing sophisticated and complex catchment water system. Among various kinds of hydrological model, characterized by the emphasis on spatial discretization of catchment physical behaviors, the deterministic distributed hydrological model shows higher performance in producing comprehensive view of catchment hydrological phenomenon. However, the applicability of this model is still affected by its higher level of data demands, which often requests an effective modelling strategy to overcome the obstacles caused by lack of field measurements. This paper presents an optimized modelling strategy of setting up the deterministic distributed hydrological simulation (MIKE SHE) of one extreme rainfall flood occurred at November 2011 in Var catchment (2800 km2) located at French Mediterranean area. Compared to other model variables, the topography resolution shows premier sensitivity in the simulation and its impact on runoff generation has been further assessed based on a series of simulations set up with 300, 150, 100 and 50 m DEMs, respectively. Comparison among different simulated hydrographs, the impact of topography resolution in MIKE SHE simulation is mainly addressed in their representations of distributed surface slope and the channel network. By increasing the resolution of inputted topography, the simulation performance can be quickly enhanced with more accurate simulated flood peak. However, this improvement contains one threshold, which limits the effects of raising topography accuracy in the simulation after reaching a certain resolution. Integrated optimized the balance between simulation accuracy and running time consumption, the MIKE SHE simulation of extreme rainfall flood in Var catchment has been set up based on the 100 m resolution DEM with river network abstracted from 5 m DEM. At the end, the MIKE SHE simulation is well match the observation with only 8.3% difference of peak value and runs in less than 1 h (15 days simulation), which is feasible to be used in assessment of extreme event in the study area.
Modelling Strategy of Deterministic Distributed Hydrological Model Development at Catchment Scale
Springer Water
Gourbesville, Philippe (editor) / Caignaert, Guy (editor) / Ma, Qiang (author) / Gourbesville, Philippe (author)
2020-07-26
11 pages
Article/Chapter (Book)
Electronic Resource
English
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