Predicting hydrologic responses to climate changes in highly glacierized and mountainous region Upper Indus Basin.

SWAT climate change regional climate model representative concentration pathways

Journal

Royal Society open science
ISSN: 2054-5703
Titre abrégé: R Soc Open Sci
Pays: England
ID NLM: 101647528

Informations de publication

Date de publication:
Aug 2020
Historique:
received: 15 11 2019
accepted: 27 07 2020
entrez: 24 9 2020
pubmed: 25 9 2020
medline: 25 9 2020
Statut: epublish

Résumé

The Upper Indus Basin (UIB) is a major source of supplying water to different areas because of snow and glaciers melt and is also enduring the regional impacts of global climate change. The expected changes in temperature, precipitation and snowmelt could be reasons for further escalation of the problem. Therefore, estimation of hydrological processes is critical for UIB. The objectives of this paper were to estimate the impacts of climate change on water resources and future projection for surface water under different climatic scenarios using soil and water assessment tool (SWAT). The methodology includes: (i) development of SWAT model using land cover, soil and meteorological data; (ii) calibration of the model using daily flow data from 1978 to 1993; (iii) model validation for the time 1994-2003; (iv) bias correction of regional climate model (RCM), and (v) utilization of bias-corrected RCM for future assessment under representative concentration pathways RCP4.5 and RCP8.5 for mid (2041-2070) and late century (2071-2100). The results of the study revealed a strong correlation between simulated and observed flow with

Identifiants

pubmed: 32968496
doi: 10.1098/rsos.191957
pii: rsos191957
pmc: PMC7481703
doi:

Banques de données

Dryad
['10.5061/dryad.1ns1rn8q8']

Types de publication

Journal Article

Langues

eng

Pagination

191957

Informations de copyright

© 2020 The Authors.

Déclaration de conflit d'intérêts

The authors declare competing interests. At the time of writing, Prof. Quazi Hassan was a Board Member of Royal Society Open Science, but had no involvement in the review or assessment of the paper.

Références

Nature. 2017 May 10;545(7653):161-162
pubmed: 28492260
PLoS One. 2017 Dec 29;12(12):e0190224
pubmed: 29287098

Auteurs

Muhammad Izhar Shah (MI)

Department of Civil Engineering, University of Engineering and Technology (UET), Peshawar, Pakistan.
Department of Civil Engineering, COMSATS University Islamabad, Abbottabad Campus, Abbottabad 22060, Khyber Pakhtunkhwa, Pakistan.

Asif Khan (A)

Department of Civil Engineering, University of Engineering and Technology (UET), Peshawar, Pakistan.

Tahir Ali Akbar (TA)

Department of Civil Engineering, COMSATS University Islamabad, Abbottabad Campus, Abbottabad 22060, Khyber Pakhtunkhwa, Pakistan.

Quazi K Hassan (QK)

Department of Geomatics Engineering, Schulich School of Engineering, University of Calgary, Calgary, Alberta, Canada.

Asim Jahangir Khan (AJ)

Department of Environmental Sciences, COMSATS University Islamabad, Abbottabad Campus, Abbottabad 22060, Khyber Pakhtunkhwa, Pakistan.

Ashraf Dewan (A)

Spatial Sciences Discipline, School of Earth and Planetary Sciences, Curtin University, Kent St, Bentley, WA 6102, Australia.

Classifications MeSH