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Spatiotemporal Variations of Extreme Precipitation in Wuling Mountain Area (China) and Their Connection to Potential Driving Factors

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Listed:
  • Hong Du

    (College of Resources and Environmental Science, South-Central Minzu University, Wuhan 430074, China)

  • Jun Xia

    (Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
    State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China)

  • Yi Yan

    (College of Resources and Environmental Science, South-Central Minzu University, Wuhan 430074, China)

  • Yumeng Lu

    (College of Resources and Environmental Science, South-Central Minzu University, Wuhan 430074, China)

  • Jinhua Li

    (College of Resources and Environmental Science, South-Central Minzu University, Wuhan 430074, China)

Abstract

Changes in extreme precipitation have become a significant issue of regional disaster risk assessment and water resources management. Extreme precipitation variability is affected by multiple factors and shows disparities across different regions. Especially in mountain areas, geographic feature and local characteristics put more complexity and uncertainty on the changes of precipitation extremes. In this study, ten extreme precipitation indices of Wuling Mountain Area (WMA) during 1960–2019 have been used to analyzed the spatiotemporal variations of precipitation extremes. The relationships between extreme precipitation and potential driving factors, including geographic factors, global warming, local temperature, and climate indices, were investigated via correlation analysis. The results indicated that extreme precipitation tends to have a shorter duration and stronger intensity in WMA. Decreasing trends in R10mm, R20mm, R25mm, and the consecutive wet days (CWD) series account for 92%, 68%, 52%, and 96% of stations, while most stations in WMA have rising trends in Rx1day (68%), SDII (64%), R95p (72%), and R99p (72%). Significant abrupt changes in extreme precipitation indices mainly occurred in the 1980s–1990s. Geographic factors, local temperature, and climate indices exert different impacts on extreme precipitation. Longitude and elevation instead of latitude significantly affect extreme precipitation indices except for the maximum duration of wet spells. Global warming is likely to increase the intensity and decrease the duration of extreme precipitation, while the influence of local temperature is not exactly the same as that of global warming. The study reveals that summer monsoon indices are the dominant climate factor for variations of precipitation extremes in WMA. The correlation coefficient between extreme precipitation indices (such as Rx1day, R95p, R99p) and the East Asian summer monsoon index is around 0.5 and passed the significant test at the 0.01 level. The weakening of the summer monsoon indices tends to bring extreme precipitation with stronger intensity. The findings provide more understanding of the drivers and reasons of extreme precipitation changes in the mountain area.

Suggested Citation

  • Hong Du & Jun Xia & Yi Yan & Yumeng Lu & Jinhua Li, 2022. "Spatiotemporal Variations of Extreme Precipitation in Wuling Mountain Area (China) and Their Connection to Potential Driving Factors," Sustainability, MDPI, vol. 14(14), pages 1-23, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8312-:d:857627
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    References listed on IDEAS

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    1. A. N. Pettitt, 1979. "A Non‐Parametric Approach to the Change‐Point Problem," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 28(2), pages 126-135, June.
    2. Hong Du & Jun Xia & Sidong Zeng, 2014. "Regional frequency analysis of extreme precipitation and its spatio-temporal characteristics in the Huai River Basin, China," 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. 70(1), pages 195-215, January.
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    1. Abdulnoor A. J. Ghanim & Muhammad Naveed Anjum & Ghulam Rasool & Saifullah & Muhammad Irfan & Mana Alyami & Saifur Rahman & Usama Muhammad Niazi, 2023. "Analyzing Extreme Temperature Patterns in Subtropical Highlands Climates: Implications for Disaster Risk Reduction Strategies," Sustainability, MDPI, vol. 15(17), pages 1-20, August.

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