NDLI: Artificial neural networks in hydrological watershed modeling: surface flow contribution from the ungaged parts of a catchment

Content Provider	IEEE Xplore Digital Library
Author	Chibanga, R. Berlamont, J. Vandewalle, J.
Copyright Year	2001
Description	Author affiliation: Dept. of Civil Eng., Katholieke Univ., Leuven, Belgium (Chibanga, R.)
Abstract	Watershed modeling is often faced with the difficulty of determining the flow contribution from the ungaged sections of the catchment. Where the main concern is making accurate streamflow forecasts at specific watershed locations, it is cost-effective and efficient to implement a simple system theoretic model. In this paper Artificial Neural Networks (ANNs) are used as system theoretic models to model the ungaged flows. Using data from the Kafue River sub-catchment in Zambia and a simple reservoir routing model, an estimate of the flow contribution from the ungaged sections is derived. Inputs: rainfall, evaporation, and previous-time-step flow are fed to a series of Feedforward-Backpropagation ANNs with target-output the current derived flow. Selected best performing ANNs are compared with Autoregressive Moving Average models with exogenous inputs (ARMAX) and they give accurate and more robust forecasts over long term than the best performing ARMAXs thereby making ANNs a viable alternative in forecasting.
Sponsorship	IEEE Comput. Soc.
Starting Page	367
Ending Page	374
File Size	663165
Page Count	8
File Format	PDF
ISBN	0769514170
DOI	10.1109/ICTAI.2001.974485
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-11-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Artificial neural networks Intelligent networks Reservoirs Routing
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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