The Influence of Climate Change on Droughts and Floods in the Yangtze River Basin from 2003 to 2020

In recent decades, extreme floods and droughts have occurred frequently around the world, which seriously threatens the social and economic development and the safety of people’s lives and properties. Therefore, it is of great scientific significance to discuss the causes and characteristic quantiza...

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Main Authors: Lilu Cui, Mingrui He, Zhengbo Zou, Chaolong Yao, Shengping Wang, Jiachun An, Xiaolong Wang
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/21/8178
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author Lilu Cui
Mingrui He
Zhengbo Zou
Chaolong Yao
Shengping Wang
Jiachun An
Xiaolong Wang
author_facet Lilu Cui
Mingrui He
Zhengbo Zou
Chaolong Yao
Shengping Wang
Jiachun An
Xiaolong Wang
author_sort Lilu Cui
collection DOAJ
description In recent decades, extreme floods and droughts have occurred frequently around the world, which seriously threatens the social and economic development and the safety of people’s lives and properties. Therefore, it is of great scientific significance to discuss the causes and characteristic quantization of extreme floods and droughts. Here, the terrestrial water storage change (TWSC) derived from the Gravity Recovery and Climate Experiment (GRACE) and its Follow-On (GRACE-FO) data was used to characterize the floods and droughts in the Yangtze River basin (YRB) during 2003 and 2020. To reduce the uncertainty of TWSC results, the generalized three-cornered hat and least square methods were used to fuse TWSC results from six GRACE solutions. Then combining precipitation (PPT), evapotranspiration, soil moisture (SM), runoff, and extreme climate index data, the influence of climate change on floods and droughts in the YRB was discussed and analyzed. The results show that the fused method can effectively improve the uncertainty of TWSC results. And seven droughts and seven floods occurred in the upper of YRB (UY) and nine droughts and six floods appeared in the middle and lower of YRB (MLY) during the study period. The correlation between TWSC and PPT (0.33) is the strongest in the UY, and the response time between the two is 1 month, while TWSC and SM (0.67) are strongly correlated with no delay in the MLY. The reason for this difference is mainly due to the large-scale hydropower development in the UY. Floods and droughts in the UY and MLY are more influenced by the El Niño-Southern Oscillation (ENSO) (correlation coefficients are 0.39 and 0.50, respectively) than the Indian Ocean Dipole (IOD) (correlation coefficients are 0.19 and 0.09, respectively). The IOD event is usually accompanied by the ENSO event (the probability is 80%), and the hydrological hazards caused by independent ENSO events are less severe than those caused by these two extreme climate events in the YRB. Our results provide a reference for the study on the formation, development, and recovery mechanism of regional floods and droughts on a global scale.
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spelling doaj.art-8da731bf29bd4299bbb4620f4f74adf92023-11-24T06:43:56ZengMDPI AGSensors1424-82202022-10-012221817810.3390/s22218178The Influence of Climate Change on Droughts and Floods in the Yangtze River Basin from 2003 to 2020Lilu Cui0Mingrui He1Zhengbo Zou2Chaolong Yao3Shengping Wang4Jiachun An5Xiaolong Wang6School of Architecture and Civil Engineering, Chengdu University, Chengdu 610106, ChinaSchool of Architecture and Civil Engineering, Chengdu University, Chengdu 610106, ChinaKey Laboratory of Earthquake Geodesy, Institute of Seismology, China Earthquake Administration, Wuhan 430071, ChinaCollege of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, ChinaCollege of Geomatics, East China University of Technology, Nanchang 330013, ChinaChinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan 430079, ChinaNanning Survey and Design Institute Group Co., Ltd., Nanning 530022, ChinaIn recent decades, extreme floods and droughts have occurred frequently around the world, which seriously threatens the social and economic development and the safety of people’s lives and properties. Therefore, it is of great scientific significance to discuss the causes and characteristic quantization of extreme floods and droughts. Here, the terrestrial water storage change (TWSC) derived from the Gravity Recovery and Climate Experiment (GRACE) and its Follow-On (GRACE-FO) data was used to characterize the floods and droughts in the Yangtze River basin (YRB) during 2003 and 2020. To reduce the uncertainty of TWSC results, the generalized three-cornered hat and least square methods were used to fuse TWSC results from six GRACE solutions. Then combining precipitation (PPT), evapotranspiration, soil moisture (SM), runoff, and extreme climate index data, the influence of climate change on floods and droughts in the YRB was discussed and analyzed. The results show that the fused method can effectively improve the uncertainty of TWSC results. And seven droughts and seven floods occurred in the upper of YRB (UY) and nine droughts and six floods appeared in the middle and lower of YRB (MLY) during the study period. The correlation between TWSC and PPT (0.33) is the strongest in the UY, and the response time between the two is 1 month, while TWSC and SM (0.67) are strongly correlated with no delay in the MLY. The reason for this difference is mainly due to the large-scale hydropower development in the UY. Floods and droughts in the UY and MLY are more influenced by the El Niño-Southern Oscillation (ENSO) (correlation coefficients are 0.39 and 0.50, respectively) than the Indian Ocean Dipole (IOD) (correlation coefficients are 0.19 and 0.09, respectively). The IOD event is usually accompanied by the ENSO event (the probability is 80%), and the hydrological hazards caused by independent ENSO events are less severe than those caused by these two extreme climate events in the YRB. Our results provide a reference for the study on the formation, development, and recovery mechanism of regional floods and droughts on a global scale.https://www.mdpi.com/1424-8220/22/21/8178hydrological disasterYRBGRACE/GRACE-FOENSOIOD
spellingShingle Lilu Cui
Mingrui He
Zhengbo Zou
Chaolong Yao
Shengping Wang
Jiachun An
Xiaolong Wang
The Influence of Climate Change on Droughts and Floods in the Yangtze River Basin from 2003 to 2020
Sensors
hydrological disaster
YRB
GRACE/GRACE-FO
ENSO
IOD
title The Influence of Climate Change on Droughts and Floods in the Yangtze River Basin from 2003 to 2020
title_full The Influence of Climate Change on Droughts and Floods in the Yangtze River Basin from 2003 to 2020
title_fullStr The Influence of Climate Change on Droughts and Floods in the Yangtze River Basin from 2003 to 2020
title_full_unstemmed The Influence of Climate Change on Droughts and Floods in the Yangtze River Basin from 2003 to 2020
title_short The Influence of Climate Change on Droughts and Floods in the Yangtze River Basin from 2003 to 2020
title_sort influence of climate change on droughts and floods in the yangtze river basin from 2003 to 2020
topic hydrological disaster
YRB
GRACE/GRACE-FO
ENSO
IOD
url https://www.mdpi.com/1424-8220/22/21/8178
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