Modified drought propagation under a changing environment: A case study in the Dongting Lake basin, China

Four sub-basins of the Dongting Lake basin (DLB), China. The “pre-post-disturbance” method was employed to assess the impact of environmental variation on propagation from meteorological drought (MD) to hydrological drought (HD) in the DLB. The study period was split into two sub-periods (i.e, the baseline and impacted periods) via breakpoints of annual runoff series. Additionally, we calculated the drought propagation characteristics in different periods using the run theory. Furthermore, based on copula function and conditional probability analysis, the transmission threshold of MD triggering HD was determined. (i) Compared with the baseline period, the severity of HD in the Li River (LR) and Yuan River (YR) increased by 0.5 % and 1.3 % during the impacted period, respectively, while that in the Zi River (ZR) and Xiang River (XR) decreased by −25.9 % and −31.6 %, respectively; (ii) Human activities have weakened the correlation between HD and MD, resulting in various patterns of propagation time in different sub-basins and seasons; (iii) As a whole, propagation threshold from MD to HD became larger during the impacted period, with an average change rate from 0.9 % to 195.5 %. • A framework was proposed to evaluate the impact of environmental changes on the drought propagation. • Propagation thresholds were determined by copula function and conditional probability analysis. • The changing environment enhanced the time and threshold of drought propagation as a whole.

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Publication Details

Journal
Journal of Hydrology Regional Studies
Published
2024-10-12
DOI
https://doi.org/10.1016/j.ejrh.2024.101986
Citations
4
Primary Topic
Hydrology and Drought Analysis
Type
article
Field-Weighted Citation Impact
1.13
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article

Modified drought propagation under a changing environment: A case study in the Dongting Lake basin, China

Peng Tao, Vijay P. Singh, Xiaohua Dong, Dan Yu et al.
4 citations
Journal of Hydrology Regional Studies
Hydrology and Drought Analysis
1.13
article

Modified drought propagation under a changing environment: A case study in the Dongting Lake basin, China

Peng Tao, Vijay P. Singh, Xiaohua Dong, Dan Yu, Ji Liu, Tianyi Fan, Gaoxu Wang, Jiali Guo, Lina Jin, Qingxia Lin
article en
4 citations

Abstract

Four sub-basins of the Dongting Lake basin (DLB), China. The “pre-post-disturbance” method was employed to assess the impact of environmental variation on propagation from meteorological drought (MD) to hydrological drought (HD) in the DLB. The study period was split into two sub-periods (i.e, the baseline and impacted periods) via breakpoints of annual runoff series. Additionally, we calculated the drought propagation characteristics in different periods using the run theory. Furthermore, based on copula function and conditional probability analysis, the transmission threshold of MD triggering HD was determined. (i) Compared with the baseline period, the severity of HD in the Li River (LR) and Yuan River (YR) increased by 0.5 % and 1.3 % during the impacted period, respectively, while that in the Zi River (ZR) and Xiang River (XR) decreased by −25.9 % and −31.6 %, respectively; (ii) Human activities have weakened the correlation between HD and MD, resulting in various patterns of propagation time in different sub-basins and seasons; (iii) As a whole, propagation threshold from MD to HD became larger during the impacted period, with an average change rate from 0.9 % to 195.5 %. • A framework was proposed to evaluate the impact of environmental changes on the drought propagation. • Propagation thresholds were determined by copula function and conditional probability analysis. • The changing environment enhanced the time and threshold of drought propagation as a whole.

Journal of Hydrology Regional StudiesVol. 56
China Three Gorges University (CN), United Arab Emirates University (AE), Texas College (US), Hunan Hydro&Power Design Institute (CN), State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering (CN), Texas A&M University (US)
Climate action
Openalex Percentile: Top 23%
Hydrology and Drought Analysis
1.13
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