Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/81340
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Building and Real Estate-
dc.creatorAdeloye, AJ-
dc.creatorWuni, IY-
dc.creatorDau, QV-
dc.creatorSoundharajan, BS-
dc.creatorKasiviswanathan, KS-
dc.date.accessioned2019-09-20T00:55:07Z-
dc.date.available2019-09-20T00:55:07Z-
dc.identifier.issn2073-4441en_US
dc.identifier.urihttp://hdl.handle.net/10397/81340-
dc.language.isoenen_US
dc.publisherMolecular Diversity Preservation International (MDPI)en_US
dc.rights© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Adeloye, A.J.; Wuni, I.Y.; Dau, Q.V.; Soundharajan, B.-S.; Kasiviswanathan, K.S. Height–Area–Storage Functional Models for Evaporation-Loss Inclusion in Reservoir-Planning Analysis. Water 2019, 11, 1413, 1-16 is available at https://dx.doi.org/10.3390/w11071413en_US
dc.subjectEvaporation lossen_US
dc.subjectStorage capacityen_US
dc.subjectReservoiren_US
dc.subjectWEAPen_US
dc.subjectSPAen_US
dc.subjectHeight-area-storage functionsen_US
dc.titleHeight-area-storage functional models for evaporation-loss inclusion in reservoir-planning analysisen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1en_US
dc.identifier.epage16en_US
dc.identifier.volume11en_US
dc.identifier.issue7en_US
dc.identifier.doi10.3390/w11071413en_US
dcterms.abstractReservoir planning without the explicit accommodation of evaporation loss leads to errors in capacity estimates. However, whenever evaporation loss is considered, its quantification uses linear approximations of the intrinsically nonlinear height-area-storage (H-A-S) relationship to estimate the reservoir area, leading to bias in capacity estimates. In this work, biases resulting from using various H-A-S models are evaluated. These models include linear and nonlinear functions, either specifically developed for the case-study sites or available in the Global Reservoir and Dam (GRanD) database. All empirically derived approximations used data for two dams in India: the Bhakra on Sutlej River and the Pong on the Beas River, both tributaries of the Indus River. The results showed that linear H-A-S models underestimate the exposed surface area of the Pong reservoir by up to 11.19%; the bias at Bhakra was much less. The GRanD H-A-S model performed very poorly at both reservoirs, producing overprediction in exposed reservoir area of up to 100% and 415% at the Pong and Bhakra reservoirs, respectively. Analyses also showed that up to 29% increase in reservoir capacity is required to compensate for the effect of net evaporation loss at low demand levels. As demand increases, the required evaporation-correction capacity decreases in proportional terms and is indistinguishable for all H-A-S models. Finally, recommendations are made on using the results for evaporation adjustment at nongauged sites in the region.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationWater, July 2019, v. 11, no. 7, 1413, p. 1-16-
dcterms.isPartOfWater-
dcterms.issued2019-
dc.identifier.isiWOS:000480632300098-
dc.identifier.scopus2-s2.0-85073890838-
dc.identifier.artn1413en_US
dc.description.validate201909 bcrc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.pubStatusPublisheden_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Adeloye_Height-Area-Storage_Functional_Models.pdf1.2 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

113
Last Week
0
Last month
Citations as of Mar 24, 2024

Downloads

85
Citations as of Mar 24, 2024

SCOPUSTM   
Citations

9
Citations as of Mar 28, 2024

WEB OF SCIENCETM
Citations

8
Citations as of Mar 28, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.