Assessing spatially-compounding drought probabilities in inter-basin water diversion: Insights from the Tao River water diversion project in China

Study regionsThe water-donating (Tao River Basin, TRB) and water-receiving (Zuli River Basin, ZRB, and Wei River Basin, WRB) regions of the Tao River Water Diversion Project (TRWDP) in Gansu Province, China.Study focusInter-basin water diversion projects are critical for mitigating water shortages i...

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Main Authors: Wan Zhou, Dedi Liu, Yufei Cheng, Junde Wang
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Journal of Hydrology: Regional Studies
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Online Access:http://www.sciencedirect.com/science/article/pii/S2214581825002630
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author Wan Zhou
Dedi Liu
Yufei Cheng
Junde Wang
author_facet Wan Zhou
Dedi Liu
Yufei Cheng
Junde Wang
author_sort Wan Zhou
collection DOAJ
description Study regionsThe water-donating (Tao River Basin, TRB) and water-receiving (Zuli River Basin, ZRB, and Wei River Basin, WRB) regions of the Tao River Water Diversion Project (TRWDP) in Gansu Province, China.Study focusInter-basin water diversion projects are critical for mitigating water shortages in arid and semi-arid regions. By addressing misestimations arising from solely precipitation-based analyses, this study integrates meteorological and hydrological perspectives to explore spatially-compounding drought probabilities between the water-donating and water-receiving regions. Moreover, the meteorological-hydrological propagation is explored using correlation analysis, runs theory and copula functions, while variance decomposition is applied to identify the dominant climatic drivers.New hydrological insights for the regionResults show that: 1) Spatially-compounding hydrological droughts occur less frequently than meteorological droughts due to varying geomorphologies and human activities. From 1970–2020, meteorological droughts occurred in five years, while only one hydrological drought event (2016) was identified across the three sub-basins, which was not detected by meteorological indices. The probability of severe spatially-compounding droughts varies regionally, with a higher joint probability in TRB–WRB than in TRB–ZRB, highlighting regional differences in drought propagation. 2) Meteorological and hydrological droughts exhibit distinct seasonal propagation characteristics, with short PTs in summer and autumn due to rapid hydrological responses and longer PTs in winter and spring due to delayed runoff generation. Basins with short PTs require real-time monitoring and rapid response strategies, while those with prolonged PTs need adaptive measures. 3) Precipitation and temperature are the primary climatic drivers of drought, with extreme climatic indices—monthly maximum of daily minimum (TNx) and maximum (TXx) temperatures—contributing the most. The decline in Rx5day (maximum five-day precipitation) suggests a decreasing frequency of extreme rainfall events, further intensifying drought propagation. These findings improve understanding of concurrent droughts and provide practical insights for drought mitigation and sustainable operation of inter-basin water diversion project.
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spelling doaj-art-4d7b4f1bdc2249c389ca09d97898e1162025-08-20T02:25:37ZengElsevierJournal of Hydrology: Regional Studies2214-58182025-06-015910243810.1016/j.ejrh.2025.102438Assessing spatially-compounding drought probabilities in inter-basin water diversion: Insights from the Tao River water diversion project in ChinaWan Zhou0Dedi Liu1Yufei Cheng2Junde Wang3State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, China; Department of Geography, The University of Hong Kong, Hong KongState Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, China; Hubei Provincial Key Lab of Water System Science for Sponge City Construction, Wuhan University, Wuhan, China; Department of Earth Science, University of the Western Cape, Robert Sobukwe Road, Bellville 7535, Republic of South Africa; Corresponding author at: State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, China.Gansu Academy for Water Conservancy, Lanzhou, ChinaGansu Academy for Water Conservancy, Lanzhou, ChinaStudy regionsThe water-donating (Tao River Basin, TRB) and water-receiving (Zuli River Basin, ZRB, and Wei River Basin, WRB) regions of the Tao River Water Diversion Project (TRWDP) in Gansu Province, China.Study focusInter-basin water diversion projects are critical for mitigating water shortages in arid and semi-arid regions. By addressing misestimations arising from solely precipitation-based analyses, this study integrates meteorological and hydrological perspectives to explore spatially-compounding drought probabilities between the water-donating and water-receiving regions. Moreover, the meteorological-hydrological propagation is explored using correlation analysis, runs theory and copula functions, while variance decomposition is applied to identify the dominant climatic drivers.New hydrological insights for the regionResults show that: 1) Spatially-compounding hydrological droughts occur less frequently than meteorological droughts due to varying geomorphologies and human activities. From 1970–2020, meteorological droughts occurred in five years, while only one hydrological drought event (2016) was identified across the three sub-basins, which was not detected by meteorological indices. The probability of severe spatially-compounding droughts varies regionally, with a higher joint probability in TRB–WRB than in TRB–ZRB, highlighting regional differences in drought propagation. 2) Meteorological and hydrological droughts exhibit distinct seasonal propagation characteristics, with short PTs in summer and autumn due to rapid hydrological responses and longer PTs in winter and spring due to delayed runoff generation. Basins with short PTs require real-time monitoring and rapid response strategies, while those with prolonged PTs need adaptive measures. 3) Precipitation and temperature are the primary climatic drivers of drought, with extreme climatic indices—monthly maximum of daily minimum (TNx) and maximum (TXx) temperatures—contributing the most. The decline in Rx5day (maximum five-day precipitation) suggests a decreasing frequency of extreme rainfall events, further intensifying drought propagation. These findings improve understanding of concurrent droughts and provide practical insights for drought mitigation and sustainable operation of inter-basin water diversion project.http://www.sciencedirect.com/science/article/pii/S2214581825002630Meteorological droughtHydrological droughtSpatially-compounding droughtDrought propagationWater diversion project
spellingShingle Wan Zhou
Dedi Liu
Yufei Cheng
Junde Wang
Assessing spatially-compounding drought probabilities in inter-basin water diversion: Insights from the Tao River water diversion project in China
Journal of Hydrology: Regional Studies
Meteorological drought
Hydrological drought
Spatially-compounding drought
Drought propagation
Water diversion project
title Assessing spatially-compounding drought probabilities in inter-basin water diversion: Insights from the Tao River water diversion project in China
title_full Assessing spatially-compounding drought probabilities in inter-basin water diversion: Insights from the Tao River water diversion project in China
title_fullStr Assessing spatially-compounding drought probabilities in inter-basin water diversion: Insights from the Tao River water diversion project in China
title_full_unstemmed Assessing spatially-compounding drought probabilities in inter-basin water diversion: Insights from the Tao River water diversion project in China
title_short Assessing spatially-compounding drought probabilities in inter-basin water diversion: Insights from the Tao River water diversion project in China
title_sort assessing spatially compounding drought probabilities in inter basin water diversion insights from the tao river water diversion project in china
topic Meteorological drought
Hydrological drought
Spatially-compounding drought
Drought propagation
Water diversion project
url http://www.sciencedirect.com/science/article/pii/S2214581825002630
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