Tabrizi, M.H.N., Jamaluddin, H., Billings, S.A. et al. (1 more author) (1990) Model Estimation and Prediction for a Water Management System. Research Report. Acse Report 394 . Dept of Automatic Control and System Engineering. University of Sheffield
Abstract
A water management model has been developed using identification techniques for predicting water table elevations. Data record near the Aurora site in the North Carolina coastal plains over a two-year period was used to develop and test the model. Rainfall and water table elevations were recorded continuously at this site and the observed water table elevations were compared to predicted day and end values. The identification of both linear and non-linear, difference equation model is described to represent the relationship between the three inputs (rainfall, potential evaporation and ditch water elevation) and the output (water table elevation)
Metadata
Item Type: | Monograph |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) > ACSE Research Reports |
Depositing User: | MRS ALISON THERESA BARNETT |
Date Deposited: | 25 Mar 2014 12:13 |
Last Modified: | 26 Oct 2016 09:38 |
Status: | Published |
Publisher: | Dept of Automatic Control and System Engineering. University of Sheffield |
Series Name: | Acse Report 394 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:78279 |