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Assessing the Spatio-Temporal Evolution Mechanisms from Meteorological to Hydrological Drought in a Heavily Human-Influenced River Basin

Author

Listed:
  • Yuefen Zhang

    (China Institute of Water Resources and Hydropower Research
    Tianjin University)

  • Jianzhu Li

    (Tianjin University)

  • Ping Feng

    (Tianjin University)

  • Jiyang Tian

    (China Institute of Water Resources and Hydropower Research
    the Ministry of Water Resources of China)

Abstract

Due to the joint impacts of climate change and human activities, it is still a challenging task to objectively evaluate the evolution mechanisms from meteorological drought (MD) to hydrological drought (HD). This study presents a comprehensive assessment of the spatio-temporal evolution mechanisms from MD to HD at the multi-timescales over Ziya River Basin in China, by using the two widely used drought indices (DIs): the Standardized Precipitation Index (SPI) and Standardized Streamflow Index (SSI). The relationship between MD and HD is investigated by the DI timeseries and extraction of drought events. The evolution mechanism from MD to HD is explored by the propagation time thresholds, spatial drought characteristics, and centroid trajectory, and the response of HD to MD is quantified by the regression model. The results indicate that there is a strong correlation (correlation coefficient, R > 0.655) between SPI and SSI at all timescales, and R increases as the timescale increases, with the greatest R being 0.899 between SPI12 and SSI12. Spatially, the duration (D) and severity (S) of HD tend to be higher than that of MD, while the frequency (F) is the opposite. In addition, MD (HD) centroid positions exhibit strong (light) spatio-temporal variability in ZRB, and long-lasting and high-intensity drought events tend to occur in the central part of the study area. Our results also highlight there is a clear non-linear relationship between HD and MD. Moreover, D and S of HD under human-influenced conditions are lower (higher) at short (long) timescales than under natural conditions.

Suggested Citation

  • Yuefen Zhang & Jianzhu Li & Ping Feng & Jiyang Tian, 2025. "Assessing the Spatio-Temporal Evolution Mechanisms from Meteorological to Hydrological Drought in a Heavily Human-Influenced River Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 39(4), pages 1873-1892, March.
    • Handle: RePEc:spr:waterr:v:39:y:2025:i:4:d:10.1007_s11269-024-04049-7
    DOI: 10.1007/s11269-024-04049-7
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    References listed on IDEAS

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    1. Aiguo Dai, 2011. "Drought under global warming: a review," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 2(1), pages 45-65, January.
    2. Jianzhu Li & Shuhan Zhou & Rong Hu, 2016. "Hydrological Drought Class Transition Using SPI and SRI Time Series by Loglinear Regression," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(2), pages 669-684, January.
    3. Desalegn Edossa & Mukand Babel & Ashim Das Gupta, 2010. "Drought Analysis in the Awash River Basin, Ethiopia," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(7), pages 1441-1460, May.
    4. Jianzhu Li & Shuhan Zhou & Rong Hu, 2016. "Hydrological Drought Class Transition Using SPI and SRI Time Series by Loglinear Regression," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(2), pages 669-684, January.
    5. Jianping Huang & Haipeng Yu & Xiaodan Guan & Guoyin Wang & Ruixia Guo, 2016. "Accelerated dryland expansion under climate change," Nature Climate Change, Nature, vol. 6(2), pages 166-171, February.
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