Quantifying the streamflow change and influencing factors with a spatio-temporal coupling analysis framework
Streamflow change and its influencing factors are synchronous and correlated in temporal and spatial scales. The aim of this study is to develop a spatio-temporal coupling analysis framework for quantifying streamflow change and its influencing factors was established. Specifically, the Mann–Kendall...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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IWA Publishing
2023-05-01
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| Series: | Journal of Water and Climate Change |
| Subjects: | |
| Online Access: | http://jwcc.iwaponline.com/content/14/5/1482 |
| _version_ | 1797202814797086720 |
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| author | Zehui Zhou Lei Yu Xiufeng Wu Luchen Zhang Shaoze Luo Yu Zhang Bin Yong Junqi Sheng |
| author_facet | Zehui Zhou Lei Yu Xiufeng Wu Luchen Zhang Shaoze Luo Yu Zhang Bin Yong Junqi Sheng |
| author_sort | Zehui Zhou |
| collection | DOAJ |
| description | Streamflow change and its influencing factors are synchronous and correlated in temporal and spatial scales. The aim of this study is to develop a spatio-temporal coupling analysis framework for quantifying streamflow change and its influencing factors was established. Specifically, the Mann–Kendall test, Pettitt's test, hierarchical cluster analysis, and Ripley's L-function were jointly used to study the spatial heterogeneity of the temporal evolution of streamflow; and the Soil and Water Assessment Tool (SWAT) model was employed to quantify the impacts of climate and human activities on streamflow change. The preliminary application in the Dawen River Basin (China) case has shown that (1) the natural streamflow change in the basin during 1953–2013 is mainly affected by climate change–human activities, followed by climate change and human activities, accounting for a total area of 52.04, 24.90, and 23.06%, respectively; and (2) the vast majority of sub-basins with relatively large natural streamflow change are mainly driven by climate change (i.e., precipitation). In general, the proposed framework can effectively reflect the spatio-temporal patterns of streamflow change and its influencing factors, which can provide a theoretical basis for water resources management in the context of global change.
HIGHLIGHTS
Developing a spatio-temporal coupling analysis framework for quantifying streamflow and its influencing factors.;
Quantifying the contribution of drivers to the streamflow change on the sub-basin scale.;
Streamflow change and their spatial patterns in the DRB are mainly driven by climate change–human activities.;
The vast majority of sub-basins with relatively large streamflow change are mainly driven by climate change.; |
| first_indexed | 2024-03-13T07:04:26Z |
| format | Article |
| id | doaj.art-66a8845cadf54fed8920627428f610f8 |
| institution | Directory Open Access Journal |
| issn | 2040-2244 2408-9354 |
| language | English |
| last_indexed | 2024-04-24T08:09:25Z |
| publishDate | 2023-05-01 |
| publisher | IWA Publishing |
| record_format | Article |
| series | Journal of Water and Climate Change |
| spelling | doaj.art-66a8845cadf54fed8920627428f610f82024-04-17T08:29:38ZengIWA PublishingJournal of Water and Climate Change2040-22442408-93542023-05-011451482149610.2166/wcc.2023.391391Quantifying the streamflow change and influencing factors with a spatio-temporal coupling analysis frameworkZehui Zhou0Lei Yu1Xiufeng Wu2Luchen Zhang3Shaoze Luo4Yu Zhang5Bin Yong6Junqi Sheng7 School of Earth Sciences and Engineering, Hohai University, Nanjing 211100, China State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, China State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, China State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, China State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, China State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, China State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China Hangzhou Communication Investment Equipment Technology Development Co. Ltd, Hangzhou, Zhejiang 310051, China Streamflow change and its influencing factors are synchronous and correlated in temporal and spatial scales. The aim of this study is to develop a spatio-temporal coupling analysis framework for quantifying streamflow change and its influencing factors was established. Specifically, the Mann–Kendall test, Pettitt's test, hierarchical cluster analysis, and Ripley's L-function were jointly used to study the spatial heterogeneity of the temporal evolution of streamflow; and the Soil and Water Assessment Tool (SWAT) model was employed to quantify the impacts of climate and human activities on streamflow change. The preliminary application in the Dawen River Basin (China) case has shown that (1) the natural streamflow change in the basin during 1953–2013 is mainly affected by climate change–human activities, followed by climate change and human activities, accounting for a total area of 52.04, 24.90, and 23.06%, respectively; and (2) the vast majority of sub-basins with relatively large natural streamflow change are mainly driven by climate change (i.e., precipitation). In general, the proposed framework can effectively reflect the spatio-temporal patterns of streamflow change and its influencing factors, which can provide a theoretical basis for water resources management in the context of global change. HIGHLIGHTS Developing a spatio-temporal coupling analysis framework for quantifying streamflow and its influencing factors.; Quantifying the contribution of drivers to the streamflow change on the sub-basin scale.; Streamflow change and their spatial patterns in the DRB are mainly driven by climate change–human activities.; The vast majority of sub-basins with relatively large streamflow change are mainly driven by climate change.;http://jwcc.iwaponline.com/content/14/5/1482climate changehuman activitiesspatio-temporal coupling analysisstreamflow changeswat model |
| spellingShingle | Zehui Zhou Lei Yu Xiufeng Wu Luchen Zhang Shaoze Luo Yu Zhang Bin Yong Junqi Sheng Quantifying the streamflow change and influencing factors with a spatio-temporal coupling analysis framework Journal of Water and Climate Change climate change human activities spatio-temporal coupling analysis streamflow change swat model |
| title | Quantifying the streamflow change and influencing factors with a spatio-temporal coupling analysis framework |
| title_full | Quantifying the streamflow change and influencing factors with a spatio-temporal coupling analysis framework |
| title_fullStr | Quantifying the streamflow change and influencing factors with a spatio-temporal coupling analysis framework |
| title_full_unstemmed | Quantifying the streamflow change and influencing factors with a spatio-temporal coupling analysis framework |
| title_short | Quantifying the streamflow change and influencing factors with a spatio-temporal coupling analysis framework |
| title_sort | quantifying the streamflow change and influencing factors with a spatio temporal coupling analysis framework |
| topic | climate change human activities spatio-temporal coupling analysis streamflow change swat model |
| url | http://jwcc.iwaponline.com/content/14/5/1482 |
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