Dynamic parameter estimation for hydrological model Online publication date: Tue, 05-Mar-2019
by Shailesh Kumar Singh
International Journal of Hydrology Science and Technology (IJHST), Vol. 9, No. 2, 2019
Abstract: Parameters of hydrological models are commonly assumed to be time independent even though some catchment properties are not stationary. The flexibility of hydrological models can be increased by introducing dynamic variation in the parameters of a hydrological model. The purpose of this paper is to develop a methodology to investigate the dynamic nature of model parameters. A robust dynamic parameter estimation (RDPE) algorithm is developed which can be used for model diagnosis as well as for improving model predictions. A moving window approach and simulated annealing are used to optimise the parameters of the HBV hydrological model for each window size. The resulting time series of parameters are used for defining sensitive and insensitive periods in parameter time series. To improve predictions a predictive parameter model is developed. Finally, it is shown that the new methodology leads to more realistic confidence intervals for model simulations and model structure identification.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Hydrology Science and Technology (IJHST):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook