@inproceedings{a40fc59938e44b6083f3451e6d3214a4,
title = "Integrated water resources management: development of data parsimonious models for reservoir planning",
abstract = "Data parsimonious models are developed which offer the realistic possibility for reservoir storage-yield-reliability (S-Y-R) planning analysis at ungauged sites. One of the models was based on multiple linear regression analysis and the second set of models were designed using artificial neural networks (ANNs); both models use input variables comprising runoff summary statistics, e.g. the CV of annual runoff, and reservoir systems variables such as the demand and reliability index. The models performed satisfactorily when tested using independent data sets not utilised during their development. Finally, algorithms for obtaining the runoff summary statistics at ungauged sites are presented. Copyright {\textcopyright} 2009 IAHS Press.",
keywords = "Artificial neural networks, Multiple regression, Over-year capacity, Sequent peak algorithm, Storage-yield-reliability, Ungauged sites, Within-year capacity",
author = "Adebayo Adeloye",
year = "2009",
language = "English",
isbn = "9781901502947",
volume = "327",
series = "IAHS Red Book Series",
publisher = "IAHS Press",
number = "327",
pages = "144--150",
editor = "Liebscher, {Hans-J{\"u}rgen } and Clarke, {Robin } and Rodda, {John } and Schultz, {Gert } and Schumann, {Andreas } and Ub, {Lucio }",
booktitle = "Role of Hydrology in Water Resources Management",
note = "UNESCO/IAHS International Symposium on The Role of Hydrology in Water Resources Management ; Conference date: 14-10-2008 Through 16-10-2008",
}