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Spatial and temporal variation of rainfall extremes for the North Anhui Province Plain of China over 1976–2018

Author

Listed:
  • Mingcheng Du

    (Tianjin University
    Nanjing Hydraulic Research Institute)

  • Jianyun Zhang

    (Tianjin University
    Nanjing Hydraulic Research Institute
    Yangtze Institute for Conservation and Development
    Research Center for Climate Change)

  • Qinli Yang

    (University of Electronic Science and Technology of China)

  • Zhenlong Wang

    (Wudaogou Experimental Station for Hydrology and Water Resources
    Anhui Hydraulic Research Institute)

  • Zhenxin Bao

    (Nanjing Hydraulic Research Institute
    Yangtze Institute for Conservation and Development
    Research Center for Climate Change)

  • Yanli Liu

    (Nanjing Hydraulic Research Institute
    Yangtze Institute for Conservation and Development
    Research Center for Climate Change)

  • Junliang Jin

    (Nanjing Hydraulic Research Institute
    Yangtze Institute for Conservation and Development
    Research Center for Climate Change)

  • Cuishan Liu

    (Nanjing Hydraulic Research Institute
    Yangtze Institute for Conservation and Development
    Research Center for Climate Change)

  • Guoqing Wang

    (Nanjing Hydraulic Research Institute
    Yangtze Institute for Conservation and Development
    Research Center for Climate Change)

Abstract

The North Anhui Province Plain (NAHPP), an important food production plain in China, is prone to frequent droughts and floods. To better understand the extreme events and mitigate their effects, this paper explores the spatiotemporal variation of precipitation extremes in the NAHPP during 1976 and 2018. Variation trends and spatial distributions of the annual maximum 1-day, 3-day, 7-day, and 15-day-rainfall were analyzed, and the probability distribution of rainfall extremes in the NAHPP was calculated by three distribution functions (Gumbel, P-III, and generalized extreme value). The optimal fitting function was selected based on the Kolmogorov–Smirnov test, and the rainfall in different return periods was calculated according to the optimal fitting function. The results indicate that rainfall extreme showed a 2- to 3-year periodicity on the interannual scale and 21-year periodicity on the chronological scale in the NAHPP. The rainfall extremes showed nonsignificant increase trend over the NAHPP, and some stations showed no significant decrease trend. The P-III distribution function best fit to the rainfall extremes (the maximum 1-day rainfall: 59%). The spatial distributions of rainfall extremes were similar in different return periods. As the return period increased, the estimated rainfall by the three distribution functions were slightly larger than that in the empirical return period. The findings will benefit regional water resources management and water-related risk control.

Suggested Citation

  • Mingcheng Du & Jianyun Zhang & Qinli Yang & Zhenlong Wang & Zhenxin Bao & Yanli Liu & Junliang Jin & Cuishan Liu & Guoqing Wang, 2021. "Spatial and temporal variation of rainfall extremes for the North Anhui Province Plain of China over 1976–2018," 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. 105(3), pages 2777-2797, February.
    • Handle: RePEc:spr:nathaz:v:105:y:2021:i:3:d:10.1007_s11069-020-04423-9
    DOI: 10.1007/s11069-020-04423-9
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    References listed on IDEAS

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    1. Seung-Ki Min & Xuebin Zhang & Francis W. Zwiers & Gabriele C. Hegerl, 2011. "Human contribution to more-intense precipitation extremes," Nature, Nature, vol. 470(7334), pages 378-381, February.
    2. Abdelaaziz Merabti & Diogo S. Martins & Mohamed Meddi & Luis S. Pereira, 2018. "Spatial and Time Variability of Drought Based on SPI and RDI with Various Time Scales," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(3), pages 1087-1100, February.
    3. Ayesha Rahman & Ataur Rahman & Mohammad Zaman & Khaled Haddad & Amimul Ahsan & Monzur Imteaz, 2013. "A study on selection of probability distributions for at-site flood frequency analysis in Australia," 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. 69(3), pages 1803-1813, December.
    4. Abdelaaziz Merabti & Diogo S. Martins & Mohamed Meddi & Luis S. Pereira, 2018. "Correction to: Spatial and Time Variability of Drought Based on SPI and RDI with Various Time Scales," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(8), pages 2917-2918, June.
    5. Ranjana Ray Chaudhuri & Prateek Sharma, 2020. "Addressing uncertainty in extreme rainfall intensity for semi-arid urban regions: case study of Delhi, India," 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. 104(3), pages 2307-2324, December.
    6. Jiao Fan & Wenchao Sun & Yong Zhao & Baolin Xue & Depeng Zuo & Zongxue Xu, 2018. "Trend Analyses of Extreme Precipitation Events in the Yarlung Zangbo River Basin, China Using a High-Resolution Precipitation Product," Sustainability, MDPI, vol. 10(5), pages 1-14, May.
    7. Weili Duan & Bin He & Kaoru Takara & Pingping Luo & Daniel Nover & Yosuke Yamashiki & Wenrui Huang, 2014. "Anomalous atmospheric events leading to Kyushu’s flash floods, July 11–14, 2012," 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. 73(3), pages 1255-1267, September.
    8. Runze Tong & Wenchao Sun & Quan Han & Jingshan Yu & Zaifeng Tian, 2020. "Spatial and Temporal Variations in Extreme Precipitation and Temperature Events in the Beijing–Tianjin–Hebei Region of China over the Past Six Decades," Sustainability, MDPI, vol. 12(4), pages 1-19, February.
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