Climate change impact on blue and green water resources distributions in the Beijiang River basin based on CORDEX projections

This study assessed the potential impact of climate change on spatiotemporal distribution of blue and green water resources in the Beijiang River basin, southern China, using the SWAT hydrological model and CORDEX-EAS regional climate models (RCMs). The outputs of three RCMs (namely RMOH, RMPI and R...

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Main Authors: Dai, Chao, Qin, Xiaosheng, Dong, Feifei, Cai, Yanpeng
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2023
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Online Access:https://hdl.handle.net/10356/168634
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1686342023-06-16T15:33:40Z Climate change impact on blue and green water resources distributions in the Beijiang River basin based on CORDEX projections Dai, Chao Qin, Xiaosheng Dong, Feifei Cai, Yanpeng School of Civil and Environmental Engineering Engineering::Civil engineering Blue and Green Water Climate Change This study assessed the potential impact of climate change on spatiotemporal distribution of blue and green water resources in the Beijiang River basin, southern China, using the SWAT hydrological model and CORDEX-EAS regional climate models (RCMs). The outputs of three RCMs (namely RMOH, RMPI and RNCC) under two emission scenarios (RCP 2.6 and RCP 8.5) were bias-corrected by using the quantile delta mapping method for the control (1975–2004), near future (2021–2050) and far future (2061–2090) periods. Driven by the corrected climate variables, future blue and green water were assessed by using the SWAT model calibrated with streamflow data. The results indicated that the green water flow in the northwest basin predicted by RMOH under RCP 2.6 would increase up to about 2.7% in 2061–2090; RNCC suggests that most of the basin would experience the most significant reduction in green water storage (over 30%) under RCP 8.5 in the far future. For blue water, the ensemble mean of three RCMs indicates a slight decreasing trend in the northern part of the basin and an increasing one in the southern part under RCP 8.5 in the far future. Our findings could help watershed managers evaluate future hydrological risks and design appropriate adaptation strategies. Ministry of Education (MOE) Published version This work was supported by the National Natural Science Foundation of China (52009022) and AcRF Tier 1 project (2019- T1-001-160) from the Ministry of Education (MOE), Singapore. 2023-06-12T08:37:10Z 2023-06-12T08:37:10Z 2022 Journal Article Dai, C., Qin, X., Dong, F. & Cai, Y. (2022). Climate change impact on blue and green water resources distributions in the Beijiang River basin based on CORDEX projections. Journal of Water & Climate Change, 13(7), 2780-2798. https://dx.doi.org/10.2166/wcc.2022.115 2040-2244 https://hdl.handle.net/10356/168634 10.2166/wcc.2022.115 2-s2.0-85139134474 7 13 2780 2798 en MOE-2019- T1-001-160 Journal of Water & Climate Change © 2022 The Authors. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY 4.0), which permits copying, adaptation and redistribution, provided the original work is properly cited (http://creativecommons.org/licenses/by/4.0/). application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Civil engineering
Blue and Green Water
Climate Change
spellingShingle Engineering::Civil engineering
Blue and Green Water
Climate Change
Dai, Chao
Qin, Xiaosheng
Dong, Feifei
Cai, Yanpeng
Climate change impact on blue and green water resources distributions in the Beijiang River basin based on CORDEX projections
description This study assessed the potential impact of climate change on spatiotemporal distribution of blue and green water resources in the Beijiang River basin, southern China, using the SWAT hydrological model and CORDEX-EAS regional climate models (RCMs). The outputs of three RCMs (namely RMOH, RMPI and RNCC) under two emission scenarios (RCP 2.6 and RCP 8.5) were bias-corrected by using the quantile delta mapping method for the control (1975–2004), near future (2021–2050) and far future (2061–2090) periods. Driven by the corrected climate variables, future blue and green water were assessed by using the SWAT model calibrated with streamflow data. The results indicated that the green water flow in the northwest basin predicted by RMOH under RCP 2.6 would increase up to about 2.7% in 2061–2090; RNCC suggests that most of the basin would experience the most significant reduction in green water storage (over 30%) under RCP 8.5 in the far future. For blue water, the ensemble mean of three RCMs indicates a slight decreasing trend in the northern part of the basin and an increasing one in the southern part under RCP 8.5 in the far future. Our findings could help watershed managers evaluate future hydrological risks and design appropriate adaptation strategies.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Dai, Chao
Qin, Xiaosheng
Dong, Feifei
Cai, Yanpeng
format Article
author Dai, Chao
Qin, Xiaosheng
Dong, Feifei
Cai, Yanpeng
author_sort Dai, Chao
title Climate change impact on blue and green water resources distributions in the Beijiang River basin based on CORDEX projections
title_short Climate change impact on blue and green water resources distributions in the Beijiang River basin based on CORDEX projections
title_full Climate change impact on blue and green water resources distributions in the Beijiang River basin based on CORDEX projections
title_fullStr Climate change impact on blue and green water resources distributions in the Beijiang River basin based on CORDEX projections
title_full_unstemmed Climate change impact on blue and green water resources distributions in the Beijiang River basin based on CORDEX projections
title_sort climate change impact on blue and green water resources distributions in the beijiang river basin based on cordex projections
publishDate 2023
url https://hdl.handle.net/10356/168634
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