You are in : Home » Results & submissions » Select UOA » 15 - General Engineering » View submission: University of Bristol » Outputs » Detail

Output details

15 - General Engineering

University of Bristol

Return to search Previous output Next output

Output 371 of 446 in the submission

Article title

Runoff Prediction Using an Integrated Hybrid Modelling Scheme

Type

D - Journal article

DOI

10.1016/j.jhydrol.2009.03.034

Title of journal

Journal of Hydrology

Article number

Volume number

372

Issue number

1-4

First page of article

ISSN of journal

0022-1694

Year of publication

2009

URL

http://www.sciencedirect.com/science/article/pii/S0022169409002157

Number of additional authors

Additional information

Hydrological systems are complex and difficult to model. Paper describes sophisticated method using combination of wavelet decomposition and neural networks to integrate outputs from different sub-models in a cascading fashion. Scheme is tested in a catchment of Southwest England and demonstrates superior performance to all other models tested. New framework has wide implications in hydrological modelling since its general structure could be applied to various model combinations. Work led to Han's invitations to be Visiting Professor at Key National Water Lab (IWHR) in China and panelist in EarthCube Programme of National Science Foundation in the USA.

Interdisciplinary

Cross-referral requested

Research group

M - Water and Environment

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract