Automatic calibration of a whole-of-basin water accounting model using a comprehensive learning particle swarm optimiser

Gao, Lei, Kirby, Mac, Ahmad, Mobin-ud-Din, Mainuddin, Mohammed and Bryan, Brett A. 2019, Automatic calibration of a whole-of-basin water accounting model using a comprehensive learning particle swarm optimiser, Journal of Hydrology, pp. 1-13, doi: 10.1016/j.jhydrol.2019.124281.

Attached Files
Name Description MIMEType Size Downloads

Title Automatic calibration of a whole-of-basin water accounting model using a comprehensive learning particle swarm optimiser
Author(s) Gao, Lei
Kirby, Mac
Ahmad, Mobin-ud-Din
Mainuddin, Mohammed
Bryan, Brett A.ORCID iD for Bryan, Brett A. orcid.org/0000-0003-4834-5641
Journal name Journal of Hydrology
Start page 1
End page 13
Total pages 13
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2019
ISSN 0022-1694
Keyword(s) Model calibration
Parameterisation
Particle swarm optimisation
Hydrological models
Rivers
Irrigation
Language eng
DOI 10.1016/j.jhydrol.2019.124281
Indigenous content off
Field of Research MD Multidisciplinary
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30133132

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 15 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Thu, 12 Dec 2019, 13:18:27 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.