基于LH-OAT分布式水文模型参数敏感性分析

为了有效进行分布式水文模型参数的优选，消除模型计算过程中的不确定性，更好地理解参数对水文模拟的影响，开展了模型参数敏感性分析。使用LH-OAT方法，对比分析了3个不同的流域中多个目标函数下的分布式物理水文模型——流溪河模型的参数敏感性，将其参数敏感性归为：极敏感，敏感，一般敏感和不敏感4类。研究表明，模型参数的敏感性并不是一成不变的，在不同流域，不同评价目标下，会发生一定程度的改变。

Analysis on parameter sensitivity of distributed hydrological model based on LH - OAT Method

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.