Analysis on parameter sensitivity of distributed hydrological model based on LH-OAT Method
HE Jinxiang
Abstract
HE Jinxiang
Abstract
In order to well conduct the optimal selection of parameters of distributed hydrological model efficiently,and eliminate the uncertainty in the calculation process and understand the influence of the parameters on the hydrological process better,the sensitivity of the parameters is analyzed.The LH-OAT method was applied to the parameter sensitivity analysis of Liuxihe River Model,a distributed physical hydrological model,in three basins under multiple object functions.The sensitivity indices of the parameters can be divided into 4 classes,including high sensitivity,sensitivity,general sensitivity and non-sensitivity.It is shown that the parameter sensitivity of the model is not immutable,but changes with different basins or different evaluation objects.
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In order to well conduct the optimal selection of parameters of distributed hydrological model efficiently,and eliminate the uncertainty in the calculation process and understand the influence of the parameters on the hydrological process better,the sensitivity of the parameters is analyzed.The LH-OAT method was applied to the parameter sensitivity analysis of Liuxihe River Model,a distributed physical hydrological model,in three basins under multiple object functions.The sensitivity indices of the parameters can be divided into 4 classes,including high sensitivity,sensitivity,general sensitivity and non-sensitivity.It is shown that the parameter sensitivity of the model is not immutable,but changes with different basins or different evaluation objects.
Key concepts: Sensitivity (control systems), Process (computing), Selection (genetic algorithm), Hydrology (agriculture), Mathematics, Computer science, Geology, Geotechnical engineering