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dc.contributor.authorUsman, Muhammad
dc.contributor.authorNdehedehe, Christopher
dc.contributor.authorFarah, Humera
dc.contributor.authorRodrigo, Manzana
dc.date.accessioned2021-06-28T03:37:33Z
dc.date.available2021-06-28T03:37:33Z
dc.date.issued2021
dc.identifier.issn0959-6526
dc.identifier.doi10.1016/j.jclepro.2021.128091
dc.identifier.urihttp://hdl.handle.net/10072/405403
dc.description.abstractClimate change affects natural systems, leading to increased acceleration of global water cycle and substantial impacts on the productivity of tropical rivers and the several ecosystem functions they provide. However, the anticipated impacts of climate change in terms of frequency and intensity of extreme events (e.g., droughts and floods) on hydrological systems across regions could be substantially different. This study therefore aims to assess the impacts of climate change on the streamflow of a large river basin located in central Australia (Cooper creek-Bulloo River Basin). Modified version of the hydrological model Hydrologiska Byråns Vattenbalansavdelning (HBV) was used in this study to generate daily streamflow. This model was first calibrated (2001–2010) and then validated for two independent periods (1993–1997 and 2011–2015). The model depicted a good performance in simulating observed streamflow. Climate projection data from multiple general circulation models, including (ACCESS1.0, CanESM2, CESM1-CAM5, CNRM-CM5, GFDL-ESM2M, HadGEM2-CC, MIROC5, NorESM1-M, ACCESS1-0, ACCESS1-3, CCSM4, CNRM-CM5, CSIRO-Mk3.6, GFDL-CM3, GFDL-ESM2M, HadGEM2, MIROC5, MPI-ESM-LR, and NorESM1-M) in various forms (raw, statistically downscaled, dynamically downscaled, and bias adjusted) were considered in this study. Results showed that three high resolution dynamically downscaled and bias adjusted models (ACCESS1-3, CNRM-CM5, and MPI-ESM-LR) from Terrestrial Ecosystem Research Network (TERN) dataset v1.0.2 have better performance than other models considered, that is, in terms of capturing observed precipitation over the basin. Future climate projections of ensemble of these three models forced with RCP 4.5 and RCP 8.5 emission scenarios were then used to generate streamflow for 2050s (2040–2069) and 2080s (2070–2099). Results of the study indicated that mean annual precipitation was projected to decrease by up to −8% in 2050s and temperature was projected to increase by up to 4.66 °C in 2080s under the average and extreme emission scenarios, respectively. Mean annual, mean seasonal (December–February, March–May, June–August, September–November), and mean monthly streamflow were projected to decrease under different emission scenarios in 2050s and 2080s. These results indicate decreased water availability in the future as well as water cycle intensification. These changes in streamflow might have impacts on agriculture, natural ecosystem, and could lead to water restrictions. The outcome of this study can directly feed into frameworks for sustainable management of water resources and support adaptation strategies that rely on science and policy to improve water resources allocation in the region.
dc.description.peerreviewedYes
dc.publisherElsevier
dc.relation.ispartofjournalJournal of Cleaner Production
dc.subject.fieldofresearchAtmospheric sciences
dc.subject.fieldofresearchClimate change processes
dc.subject.fieldofresearchClimatology
dc.subject.fieldofresearchMeteorology
dc.subject.fieldofresearchAtmospheric sciences not elsewhere classified
dc.subject.fieldofresearchPhysical geography and environmental geoscience
dc.subject.fieldofresearchSurface water hydrology
dc.subject.fieldofresearchEnvironmental engineering
dc.subject.fieldofresearchManufacturing engineering
dc.subject.fieldofresearchOther engineering
dc.subject.fieldofresearchcode3701
dc.subject.fieldofresearchcode370201
dc.subject.fieldofresearchcode370202
dc.subject.fieldofresearchcode370108
dc.subject.fieldofresearchcode370199
dc.subject.fieldofresearchcode3709
dc.subject.fieldofresearchcode370704
dc.subject.fieldofresearchcode4011
dc.subject.fieldofresearchcode4014
dc.subject.fieldofresearchcode4099
dc.titleImpacts of climate change on the streamflow of a large river basin in the Australian tropics using optimally selected climate model outputs
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationUsman, M; Ndehedehe, C; Farah, H; Rodrigo, M, Impacts of climate change on the streamflow of a large river basin in the Australian tropics using optimally selected climate model outputs, Journal of Cleaner Production, 2021
dcterms.licensehttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.date.updated2021-06-26T00:31:51Z
dc.description.versionAccepted Manuscript (AM)
gro.description.notepublicThis publication has been entered in Griffith Research Online as an advanced online version.
gro.rights.copyright© 2021 Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence (http://creativecommons.org/licenses/by-nc-nd/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited.
gro.hasfulltextFull Text
gro.griffith.authorNdehedehe, Christopher E.


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