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Divergent path: iso...
Divergent path: isolating land use and climate change impact on river runoff
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- Mahmood, Saqib (author)
- Department of Civil Engineering, University of Engineering and Technology Peshawar (Bannu Campus), Bannu, Pakistan
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- Khan, Afed Ullah (author)
- Department of Civil Engineering, University of Engineering and Technology Peshawar (Bannu Campus), Bannu, Pakistan; National Institute of Urban Infrastructure Planning, University of Engineering and Technology, Peshawar, Pakistan
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- Babur, Muhammad (author)
- Department of Civil Engineering, Faculty of Engineering, University of Central Punjab, Lahore, Pakistan
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- Ghanim, Abdulnoor A. J. (author)
- Civil Engineering Department, College of Engineering, Najran University, Najran, Saudi Arabia
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- Al-Areeq, Ahmed M. (author)
- Interdisciplinary Research Center for Membranes and Water Security, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia
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- Khan, Daud (author)
- Department of Transport Systems, Traffic Engineering and Logistics, Faculty of Transport and Aviation Engineering, Silesian University of Technology, Katowice, Poland
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- Najeh, Taoufik (author)
- Luleå tekniska universitet,Drift, underhåll och akustik
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- Gamil, Yaser (author)
- Department of Civil Engineering, School of Engineering, Monash University Malaysia, Jalan Lagoon Selatan, Subang Jaya, Malaysia
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(creator_code:org_t)
- Frontiers Media Sa, 2024
- 2024
- English.
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In: Frontiers in Environmental Science. - : Frontiers Media Sa. - 2296-665X. ; 12
- Related links:
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https://doi.org/10.3...
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https://ltu.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.3...
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Abstract
Subject headings
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- Water resource management requires a thorough examination of how land use and climate change affect streamflow; however, the potential impacts of land-use changes are frequently ignored. Therefore, the principal goal of this study is to isolate the effects of anticipated climate and land-use changes on streamflow at the Indus River, Besham, Pakistan, using the Soil and Water Assessment Tool (SWAT). The multimodal ensemble (MME) of 11 general circulation models (GCMs) under two shared socioeconomic pathways (SSPs) 245 and 585 was computed using the Taylor skill score (TSS) and rating metric (RM). Future land use was predicted using the cellular automata artificial neural network (CA-ANN). The impacts of climate change and land-use change were assessed on streamflow under various SSPs and land-use scenarios. To calibrate and validate the SWAT model, the historical record (1991-2013) was divided into the following two parts: calibration (1991-2006) and validation (2007-2013). The SWAT model performed well in simulating streamflow with NSE, R2, and RSR values during the calibration and validation phases, which are 0.77, 0.79, and 0.48 and 0.76, 0.78, and 0.49, respectively. The results show that climate change (97.47%) has a greater effect on river runoff than land-use change (2.53%). Moreover, the impact of SSP585 (5.84%-19.42%) is higher than that of SSP245 (1.58%-4%). The computed impacts of climate and land-use changes are recommended to be incorporated into water policies to bring sustainability to the water environment.
Subject headings
- LANTBRUKSVETENSKAPER -- Annan lantbruksvetenskap -- Miljö- och naturvårdsvetenskap (hsv//swe)
- AGRICULTURAL SCIENCES -- Other Agricultural Sciences -- Environmental Sciences related to Agriculture and Land-use (hsv//eng)
Keyword
- streamflow
- climate change
- land-use change
- CMIP6
- prediction
- Operation and Maintenance Engineering
- Drift och underhållsteknik
Publication and Content Type
- ref (subject category)
- art (subject category)
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