Output details
15 - General Engineering
Heriot-Watt University (joint submission with University of Edinburgh)
The relative utility of regression and artificial neural networks models for rapidly predicting the capacity of water supply reservoirs
The importance of this paper is that it provides a tool for planning water supply reservoirs in situations where such would be impossible due to lack of time series data of river flow, e.g. in developing countries. It thus offers a way out of an otherwise intractable problem of reservoir planning analyses in data sparse regions of the world. Although addressing reservoir planning studies, the usefulness of the methodology is versatile as has been demonstrated in subsequent applications in other areas, e.g. see DOI’s 10.1016/j.buildenv.2011.12.024 (in Spain); 10.1016/j.envsoft.2010.04.020 (in Greece); 10.1016/j.envsoft.2009.11.006 (in Germany); 10.1061/(ASCE)HE.1943-5584.0000650 (in Portugal).
