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Assessing Climate Change Impact on Water Resources in Water Demand Scenarios Using SWAT-MODFLOW-WEAP
Hydrology, Volume: 9, Issue: 10, Start page: 164
Swansea University Author: Yunqing Xuan
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DOI (Published version): 10.3390/hydrology9100164
Abstract
In this article, we present the use of the coupled land surface model and groundwater flow model SWAT-MODFLOW with the decision support tool WEAP (Water Evaluation and Planning software) to predict future surface-water abstraction scenarios in a complex river basin under conditions of climate change...
Published in: | Hydrology |
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ISSN: | 2306-5338 |
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MDPI AG
2022
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URI: | https://cronfa.swan.ac.uk/Record/cronfa60998 |
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2022-09-26T11:30:10.2526467 v2 60998 2022-08-31 Assessing Climate Change Impact on Water Resources in Water Demand Scenarios Using SWAT-MODFLOW-WEAP 3ece84458da360ff84fa95aa1c0c912b 0000-0003-2736-8625 Yunqing Xuan Yunqing Xuan true false 2022-08-31 CIVL In this article, we present the use of the coupled land surface model and groundwater flow model SWAT-MODFLOW with the decision support tool WEAP (Water Evaluation and Planning software) to predict future surface-water abstraction scenarios in a complex river basin under conditions of climate change. The modelling framework is applied to the Dee River catchment in Wales, United Kingdom. Regarding hydrology, the coupled model improves overall water balance and low-streamflow conditions compared with a stand-alone SWAT model. The calibrated SWAT-MODFLOW is employed with high-resolution climate model data from the UKCP18 project with the future scenario of RCP85 from 2020 to 2040. Then, water supply results from SWAT-MODFLOW are fed into WEAP as input for the river reach in the downstream region of the river basin. This system is utilized to create various future scenarios of the surface-water abstraction of public water supply in the downstream region—maximum licensed withdraw, 50% authorized abstractions, monthly time series with 1% increases in water use, and maximum water withdraw per year based on historical records repeated every year with 1% increases in water use—to estimate the unmet demands and streamflow requirement. This modelling approach can be used in other river basins to manage scenarios of supply and demand. Journal Article Hydrology 9 10 164 MDPI AG 2306-5338 highly regulated river basins; climate change; water demands; public water supply; SWAT-MODFLOW; WEAP; UKCP18 22 9 2022 2022-09-22 10.3390/hydrology9100164 COLLEGE NANME Civil Engineering COLLEGE CODE CIVL Swansea University Another institution paid the OA fee This research study received no external funding. 2022-09-26T11:30:10.2526467 2022-08-31T22:58:42.8572214 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering Salam A. Abbas 1 Yunqing Xuan 0000-0003-2736-8625 2 Ryan T. Bailey 3 60998__25193__b14d743c483c4cf78f5127e204972be2.pdf hydrology-09-00164.pdf 2022-09-23T09:28:49.8463072 Output 7503023 application/pdf Version of Record true © 2022 by the authors.This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license true eng https://creativecommons.org/licenses/by/4.0/ |
title |
Assessing Climate Change Impact on Water Resources in Water Demand Scenarios Using SWAT-MODFLOW-WEAP |
spellingShingle |
Assessing Climate Change Impact on Water Resources in Water Demand Scenarios Using SWAT-MODFLOW-WEAP Yunqing Xuan |
title_short |
Assessing Climate Change Impact on Water Resources in Water Demand Scenarios Using SWAT-MODFLOW-WEAP |
title_full |
Assessing Climate Change Impact on Water Resources in Water Demand Scenarios Using SWAT-MODFLOW-WEAP |
title_fullStr |
Assessing Climate Change Impact on Water Resources in Water Demand Scenarios Using SWAT-MODFLOW-WEAP |
title_full_unstemmed |
Assessing Climate Change Impact on Water Resources in Water Demand Scenarios Using SWAT-MODFLOW-WEAP |
title_sort |
Assessing Climate Change Impact on Water Resources in Water Demand Scenarios Using SWAT-MODFLOW-WEAP |
author_id_str_mv |
3ece84458da360ff84fa95aa1c0c912b |
author_id_fullname_str_mv |
3ece84458da360ff84fa95aa1c0c912b_***_Yunqing Xuan |
author |
Yunqing Xuan |
author2 |
Salam A. Abbas Yunqing Xuan Ryan T. Bailey |
format |
Journal article |
container_title |
Hydrology |
container_volume |
9 |
container_issue |
10 |
container_start_page |
164 |
publishDate |
2022 |
institution |
Swansea University |
issn |
2306-5338 |
doi_str_mv |
10.3390/hydrology9100164 |
publisher |
MDPI AG |
college_str |
Faculty of Science and Engineering |
hierarchytype |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering |
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description |
In this article, we present the use of the coupled land surface model and groundwater flow model SWAT-MODFLOW with the decision support tool WEAP (Water Evaluation and Planning software) to predict future surface-water abstraction scenarios in a complex river basin under conditions of climate change. The modelling framework is applied to the Dee River catchment in Wales, United Kingdom. Regarding hydrology, the coupled model improves overall water balance and low-streamflow conditions compared with a stand-alone SWAT model. The calibrated SWAT-MODFLOW is employed with high-resolution climate model data from the UKCP18 project with the future scenario of RCP85 from 2020 to 2040. Then, water supply results from SWAT-MODFLOW are fed into WEAP as input for the river reach in the downstream region of the river basin. This system is utilized to create various future scenarios of the surface-water abstraction of public water supply in the downstream region—maximum licensed withdraw, 50% authorized abstractions, monthly time series with 1% increases in water use, and maximum water withdraw per year based on historical records repeated every year with 1% increases in water use—to estimate the unmet demands and streamflow requirement. This modelling approach can be used in other river basins to manage scenarios of supply and demand. |
published_date |
2022-09-22T04:19:34Z |
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1763754297952043008 |
score |
11.037275 |