Journal
JOURNAL OF HYDROMETEOROLOGY
Volume 23, Issue 9, Pages 1487-1506Publisher
AMER METEOROLOGICAL SOC
DOI: 10.1175/JHM-D-21-0250.1
Keywords
Drought; Dynamics; Climate variability; Bayesian methods; Seasonal variability
Categories
Funding
- National Key R&D Program of China
- Shaanxi University Science and Technology Association Youth Talent Promotion Project
- Strategic Priority Research Program of the Chinese Academy of Sciences
- [2021YFC3000203]
- [20190413]
- [XDA28060100]
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This study investigates the time-lag and step-abrupt effects of propagation from meteorological drought to hydrological drought and explores the seasonal dynamics and driving mechanisms of drought propagation. The findings reveal variations in the impacts of precipitation, temperature, potential evapotranspiration, and soil moisture on drought propagation dynamics across subbasins and seasons. Additionally, reservoirs are found to serve as a buffer for regulating the propagation from meteorological to hydrological droughts.
In the propagation from meteorological to hydrological drought, there are time-lag and step-abrupt effects, quantified in terms of propagation time and threshold, which play an important role in hydrological drought early warning. However, seasonal drought propagation time and threshold and their dynamics as well as the corresponding driving mechanism remain unknown in a changing environment. To this end, the standardized precipitation index (SPI) and standardized runoff index (SRI) were used respectively to characterize meteorological and hydrological droughts and to determine the optimal propagation time. Then, a seasonal drought propagation framework based on Bayesian network was proposed for calculating the drought propagation threshold with SPI. Finally, the seasonal dynamics and preliminary attribution of propagation characteristics were investigated based on the random forest model and correlation analysis. The results show that 1) relatively short propagation time (less than 9 months) and large propagation threshold (from -3.18 to -1.19) can be observed in the Toxkan River basins (subbasin II), especially for spring, showing low drought resistance; 2) drought propagation time shows an extended trend in most seasons, while the drought propagation threshold displays an increasing trend in autumn and winter in the Aksu River basin (subbasins I-II), and the opposite characteristics in the Hotan and Yarkant River basins (subbasins III-V); and 3) the impacts of precipitation, temperature, potential evapotranspiration, and soil moisture on drought propagation dynamics are inconsistent across subbasins and seasons, noting that reservoirs serve as a buffer to regulate the propagation from meteorological to hydrological droughts. The findings of this study can provide scientific guidelines for watershed hydrological drought early warning and risk management. Significance StatementThe aim of this study is to better understand how the delayed and step-abrupt effects of propagation from meteorological drought to hydrological drought can be characterized through propagation time and threshold. These response indicators determine the resistance of a catchment to hydrological droughts and meteorological droughts. They can help water resources management agencies to mitigate hydrological droughts by taking measures such as water storage, increasing revenue, and reducing expenditure. The findings of this study can provide scientific guidelines for watershed hydrological drought early warning and risk management.
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