A two-step sensitivity analysis for hydrological signatures in Jinhua River Basin, East China
Pan S.; Fu, G; Chiang YM; et al.Ran Q; Xu Y
Date: 24 October 2017
Journal
Hydrological Sciences Journal
Publisher
Taylor & Francis for International Association of Hydrological Sciences (IAHS)
Publisher DOI
Abstract
Parameter calibration and sensitivity analysis are usually not straightforward tasks for distributed hydrological models, owing to the complexity of model and large number of parameters. A two-step sensitivity analysis approach is proposed for analyzing the hydrological signatures based on the Distributed Hydrology-Soil-Vegetation Model ...
Parameter calibration and sensitivity analysis are usually not straightforward tasks for distributed hydrological models, owing to the complexity of model and large number of parameters. A two-step sensitivity analysis approach is proposed for analyzing the hydrological signatures based on the Distributed Hydrology-Soil-Vegetation Model in Jinhua River Basin, East China. A preliminary sensitivity analysis is conducted to obtain influential parameters via Analysis of Variance. These parameters are further analyzed through a variance-based global sensitivity analysis method to achieve robust rankings and parameter contributions. Parallel computing is designed to reduce computational burden. The results reveal that only a few parameters are significantly sensitive and the interactions between parameters could not be ignored. When analyzing hydrological signatures, it is found that water yield was simulated very well for most samples. Small and medium floods are simulated very well while slight underestimations happen to large floods.
Engineering
Faculty of Environment, Science and Economy
Item views 0
Full item downloads 0