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On the event-based extreme precipitation in the Xiangjiang River Basin, China: temporal-spatial distribution and future trends

Author

Listed:
  • Liu Yang

    (Hengyang Normal University)

  • Lulu Peng

    (Hengyang Normal University)

  • Chang Feng

    (Hengyang Normal University)

  • Zhonghui Guo

    (Hengyang Normal University)

  • Huiyi Li

    (Hengyang Normal University)

Abstract

An in-depth understanding of event-based extreme precipitation (EEP), emphasizing precipitation process, can help to prevent the risk posed by regional high-intensity and persistent precipitation. The concept of time distribution pattern (TDP) is used to distinguish EEPs, which classifies EEPs according to the occurrence time of extreme precipitation. Furthermore, TDP1,2,3 is that the distribution of daily precipitation above the threshold is in the first half, in the second half, and both the first half and second half of EEP, respectively. We analyze temporal characteristics, spatial distribution, future trends of EEP, and the contribution rate of urbanization to EEP in this study. EEP thresholds exhibit a latitudinal gradient from central to northern and southern regions except for Nanyue Station (NY). TDP1 and TDP2 account for more than 60% among the total of EEPs. However, TDP3 is the dominant precipitation type observed at each station from the perspective of precipitation, intensity, duration, especially, in summer. EEP is less and TDP is unstable in autumn and winter. In general, there is an increasing trend in EEP and it is predicted that the trend of EEP will continue to rise. Moreover, the contribution rate of urbanization to EEP varies significantly, with a more pronounced inhibitory effect observed. The inhibitory effect of urbanization on the frequency and duration of TDP3 reached 60.83% and 72.77%, respectively. However, it is more significant on the extreme nature of TDP1 under urbanization, with a positive contribution rate of 9.63% and 21.83% to precipitation and intensity of TDP1, respectively. The results conclude that the higher the level of urbanization, the more pronounced the extreme trend of TDP1 becomes.

Suggested Citation

  • Liu Yang & Lulu Peng & Chang Feng & Zhonghui Guo & Huiyi Li, 2024. "On the event-based extreme precipitation in the Xiangjiang River Basin, China: temporal-spatial distribution and future trends," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(5), pages 4959-4983, March.
    • Handle: RePEc:spr:nathaz:v:120:y:2024:i:5:d:10.1007_s11069-024-06412-8
    DOI: 10.1007/s11069-024-06412-8
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    References listed on IDEAS

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    1. Lazhar Belkhiri & Tae-Jeong Kim, 2021. "Individual Influence of Climate Variability Indices on Annual Maximum Precipitation Across the Global Scale," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(9), pages 2987-3003, July.
    2. Wenxia Zhang & Tianjun Zhou & Liwei Zou & Lixia Zhang & Xiaolong Chen, 2018. "Reduced exposure to extreme precipitation from 0.5 °C less warming in global land monsoon regions," Nature Communications, Nature, vol. 9(1), pages 1-8, December.
    3. Hadi Galavi & Majid Mirzaei, 2020. "Analyzing Uncertainty Drivers of Climate Change Impact Studies in Tropical and Arid Climates," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(6), pages 2097-2109, April.
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