Multi-scale flow regimes and driving forces analysis based on different models: a case study of the Wu River basin
Quantitatively separating the influence of climate change and human activities on runoff is crucial to achieving sustainable water resource management in watersheds. This study presents a framework for quantitative assessment by integrating the indicators of hydrologic alteration, the whale optimiza...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IWA Publishing
2023-09-01
|
| Series: | Water Supply |
| Subjects: | |
| Online Access: | http://ws.iwaponline.com/content/23/9/3978 |
| _version_ | 1797661314774990848 |
|---|---|
| author | Hongxiang Wang Siyuan Cheng Ning He Lintong Huang Huan Yang Fengtian Hong Yinchu Ma Wenxiong Chen Wenxian Guo |
| author_facet | Hongxiang Wang Siyuan Cheng Ning He Lintong Huang Huan Yang Fengtian Hong Yinchu Ma Wenxiong Chen Wenxian Guo |
| author_sort | Hongxiang Wang |
| collection | DOAJ |
| description | Quantitatively separating the influence of climate change and human activities on runoff is crucial to achieving sustainable water resource management in watersheds. This study presents a framework for quantitative assessment by integrating the indicators of hydrologic alteration, the whale optimization algorithm and random forest (WOA-RF), and the water erosion prediction (WEP-L) models. This framework quantifies the differences in hydrological conditions and their driving forces at multi-timescales (annual, seasonal, and monthly). The results indicate that the runoff of the Wu River has decreased since 2005. Climate factors were found to influence the interannual variation of runoff mainly. Meanwhile, human activities had a more significant impact in autumn, with a relative contribution rate of 59.0% (WOA-RF model) and 70.8% (WEP-L model). Monthly, the picture is more complex, with the results of the WOA-RF model indicating that climate change has a significant impact in July, August, and September (88.8%, 92.7%, and 79.3%, respectively). However, the WEP-L model results showed that the relative contribution of land use is significant in April, May, June, October, and November (51.24%, 64.23%, 63.63%, 53.16%, and 50.63%, respectively). The results of the study can be helpful for regional water allocation.
HIGHLIGHTS
Based on indicators of the hydrologic alteration range of variation approach, the changes of hydrological regime in the Wujiang River basin in the past 30 years were analyzed.;
Natural runoff was reconstructed by the whale optimization algorithm and random forest and the water erosion prediction models.;
The effects of climate change and human activities on runoff change on annual, monthly, and seasonal scales were quantified.; |
| first_indexed | 2024-03-11T18:42:41Z |
| format | Article |
| id | doaj.art-5e1d4627de43460fb613ba12282f34b2 |
| institution | Directory Open Access Journal |
| issn | 1606-9749 1607-0798 |
| language | English |
| last_indexed | 2024-03-11T18:42:41Z |
| publishDate | 2023-09-01 |
| publisher | IWA Publishing |
| record_format | Article |
| series | Water Supply |
| spelling | doaj.art-5e1d4627de43460fb613ba12282f34b22023-10-12T07:35:00ZengIWA PublishingWater Supply1606-97491607-07982023-09-012393978399610.2166/ws.2023.199199Multi-scale flow regimes and driving forces analysis based on different models: a case study of the Wu River basinHongxiang Wang0Siyuan Cheng1Ning He2Lintong Huang3Huan Yang4Fengtian Hong5Yinchu Ma6Wenxiong Chen7Wenxian Guo8 School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450045, China School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450045, China School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450045, China School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450045, China School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450045, China School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450045, China School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450045, China School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450045, China School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450045, China Quantitatively separating the influence of climate change and human activities on runoff is crucial to achieving sustainable water resource management in watersheds. This study presents a framework for quantitative assessment by integrating the indicators of hydrologic alteration, the whale optimization algorithm and random forest (WOA-RF), and the water erosion prediction (WEP-L) models. This framework quantifies the differences in hydrological conditions and their driving forces at multi-timescales (annual, seasonal, and monthly). The results indicate that the runoff of the Wu River has decreased since 2005. Climate factors were found to influence the interannual variation of runoff mainly. Meanwhile, human activities had a more significant impact in autumn, with a relative contribution rate of 59.0% (WOA-RF model) and 70.8% (WEP-L model). Monthly, the picture is more complex, with the results of the WOA-RF model indicating that climate change has a significant impact in July, August, and September (88.8%, 92.7%, and 79.3%, respectively). However, the WEP-L model results showed that the relative contribution of land use is significant in April, May, June, October, and November (51.24%, 64.23%, 63.63%, 53.16%, and 50.63%, respectively). The results of the study can be helpful for regional water allocation. HIGHLIGHTS Based on indicators of the hydrologic alteration range of variation approach, the changes of hydrological regime in the Wujiang River basin in the past 30 years were analyzed.; Natural runoff was reconstructed by the whale optimization algorithm and random forest and the water erosion prediction models.; The effects of climate change and human activities on runoff change on annual, monthly, and seasonal scales were quantified.;http://ws.iwaponline.com/content/23/9/3978climate changehuman activitieswep-lwoa-rfwujiang river |
| spellingShingle | Hongxiang Wang Siyuan Cheng Ning He Lintong Huang Huan Yang Fengtian Hong Yinchu Ma Wenxiong Chen Wenxian Guo Multi-scale flow regimes and driving forces analysis based on different models: a case study of the Wu River basin Water Supply climate change human activities wep-l woa-rf wujiang river |
| title | Multi-scale flow regimes and driving forces analysis based on different models: a case study of the Wu River basin |
| title_full | Multi-scale flow regimes and driving forces analysis based on different models: a case study of the Wu River basin |
| title_fullStr | Multi-scale flow regimes and driving forces analysis based on different models: a case study of the Wu River basin |
| title_full_unstemmed | Multi-scale flow regimes and driving forces analysis based on different models: a case study of the Wu River basin |
| title_short | Multi-scale flow regimes and driving forces analysis based on different models: a case study of the Wu River basin |
| title_sort | multi scale flow regimes and driving forces analysis based on different models a case study of the wu river basin |
| topic | climate change human activities wep-l woa-rf wujiang river |
| url | http://ws.iwaponline.com/content/23/9/3978 |
| work_keys_str_mv | AT hongxiangwang multiscaleflowregimesanddrivingforcesanalysisbasedondifferentmodelsacasestudyofthewuriverbasin AT siyuancheng multiscaleflowregimesanddrivingforcesanalysisbasedondifferentmodelsacasestudyofthewuriverbasin AT ninghe multiscaleflowregimesanddrivingforcesanalysisbasedondifferentmodelsacasestudyofthewuriverbasin AT lintonghuang multiscaleflowregimesanddrivingforcesanalysisbasedondifferentmodelsacasestudyofthewuriverbasin AT huanyang multiscaleflowregimesanddrivingforcesanalysisbasedondifferentmodelsacasestudyofthewuriverbasin AT fengtianhong multiscaleflowregimesanddrivingforcesanalysisbasedondifferentmodelsacasestudyofthewuriverbasin AT yinchuma multiscaleflowregimesanddrivingforcesanalysisbasedondifferentmodelsacasestudyofthewuriverbasin AT wenxiongchen multiscaleflowregimesanddrivingforcesanalysisbasedondifferentmodelsacasestudyofthewuriverbasin AT wenxianguo multiscaleflowregimesanddrivingforcesanalysisbasedondifferentmodelsacasestudyofthewuriverbasin |