Simulation of the Potential Impacts of Projected Climate and Land Use Change on Runoff under CMIP6 Scenarios

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Assessing the impacts of climate change and land use/land cover changes on water resources within a catchment is essential because it helps us understand how these dynamic factors affect the quantity, quality, and availability of freshwater. This knowledge is crucial for making informed decisions about water management, conservation, and adaptation strategies, especially in regions facing increasing environmental uncertainties and challenges to water resource sustainability. In Pakistan’s Kunhar River Basin (KRB), this investigation explores the potential effects of shifting land use/land cover (LULC), and climate on stream flows. The SWAT (Soil and Water Assessment Tool), a semi-distributed hydrological model, and the most recent Coupled Model Intercomparison Project phase 6 (CMIP6) dataset from multiple global climate models (GCMs) were used to evaluate these effects. The temperature and precipitation data were downscaled using the CMhyd software; for both shared socioeconomic pathways (SSP2 and SSP5), the top-performing GCM out of four was required to produce downscaled precipitation and temperature predictions while taking future land use characteristics into account. The output from the chosen GCM indicated that by the conclusion of the 21st century, relative to the reference period (1985–2014), the study area’s average monthly precipitation, highest temperature, and lowest temperature will be increasing. Precipitation is anticipated to increase between 2015 and 2100 by 20.5% and 29.1% according to the SSP2 and SSP5 scenarios, respectively. This study’s findings, which emphasize the need for project planners and managers taking into account the effects of climate and land cover changes in their management techniques, show that climate change can have a significant impact on the changing seasons of flows in the Kunhar River basin. © 2023 by the authors.

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RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/ebyu/11617Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.3390/w15193421Yayıncı resmi DOI adresi
Tam Kayıt
AlanDeğerDil
dc.contributor.authorHaider, Saif
dc.contributor.authorMasood, Muhammad Umer
dc.contributor.authorRashid, Muhammad
dc.contributor.authorAlshehri, Fahad
dc.contributor.authorPande, Chaitanya B.
dc.contributor.authorKatipoğlu, Okan Mert
dc.contributor.authorCostache, Romulus
dc.date.accessioned2026-10-18T20:26:38.535157541Z
dc.date.available2026-10-18T20:26:38.535157541Z
dc.date.issued2023
dc.description.abstractAssessing the impacts of climate change and land use/land cover changes on water resources within a catchment is essential because it helps us understand how these dynamic factors affect the quantity, quality, and availability of freshwater. This knowledge is crucial for making informed decisions about water management, conservation, and adaptation strategies, especially in regions facing increasing environmental uncertainties and challenges to water resource sustainability. In Pakistan’s Kunhar River Basin (KRB), this investigation explores the potential effects of shifting land use/land cover (LULC), and climate on stream flows. The SWAT (Soil and Water Assessment Tool), a semi-distributed hydrological model, and the most recent Coupled Model Intercomparison Project phase 6 (CMIP6) dataset from multiple global climate models (GCMs) were used to evaluate these effects. The temperature and precipitation data were downscaled using the CMhyd software; for both shared socioeconomic pathways (SSP2 and SSP5), the top-performing GCM out of four was required to produce downscaled precipitation and temperature predictions while taking future land use characteristics into account. The output from the chosen GCM indicated that by the conclusion of the 21st century, relative to the reference period (1985–2014), the study area’s average monthly precipitation, highest temperature, and lowest temperature will be increasing. Precipitation is anticipated to increase between 2015 and 2100 by 20.5% and 29.1% according to the SSP2 and SSP5 scenarios, respectively. This study’s findings, which emphasize the need for project planners and managers taking into account the effects of climate and land cover changes in their management techniques, show that climate change can have a significant impact on the changing seasons of flows in the Kunhar River basin. © 2023 by the authors.
dc.description.sponsorshipFunding text 1: The authors extend their appreciation to Abdullah Alrushaid Chair for Earth Science Remote Sensing Research for funding. ; Funding text 2: This research was funded by Abdullah Alrushaid Chair for Earth Science Remote Sensing Research at King Saud University, Riyadh, Saudi Arabia.
dc.identifier.doi10.3390/w15193421
dc.identifier.issn2073-4441
dc.identifier.issue19
dc.identifier.scopus2-s2.0-85174068630
dc.identifier.startpage3421
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/11617
dc.identifier.volume15
dc.language.isoen
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.relation.ispartofWater (Switzerland)
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectCA_MARKOV
dc.subjectclimate change
dc.subjectCMIP6
dc.subjectGCMs
dc.subjectland use change
dc.subjectPakistan
dc.subjectstreamflow
dc.subjectSWAT
dc.subjectKunhar Basin
dc.subjectCatchments
dc.subjectClimate models
dc.subjectEconomics
dc.subjectLand use
dc.subjectStream flow
dc.subjectSustainable development
dc.subjectWater management
dc.subjectWatersheds
dc.subjectCA-Markov
dc.subjectCoupled Model Intercomparison Project
dc.subjectCoupled model intercomparison project phase 6
dc.subjectGlobal climate model
dc.subjectGlobal climates
dc.subjectLanduse change
dc.subjectProject phasis
dc.subjectSoil and Water assessment tools
dc.subjectcatchment
dc.subjectCMIP
dc.subjectgeneral circulation model
dc.subjectglobal climate
dc.subjectMarkov chain
dc.titleSimulation of the Potential Impacts of Projected Climate and Land Use Change on Runoff under CMIP6 Scenarios
dc.typeArticle
dspace.entity.typePublication
rdl.citation.scopus51
rdl.oa.statusgold
rdl.source.indexSCOPUS