IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v114y2022i1d10.1007_s11069-022-05419-3.html
   My bibliography  Save this article

Assessing precipitation variations in the Yangtze River Basin during 1979–2019 by vertically integrated moisture flux divergence

Author

Listed:
  • Jing Ma

    (Hohai University)

  • Qin Ju

    (Hohai University)

  • Yiheng Du

    (Swedish Meteorological and Hydrological Institute)

  • Yanli Liu

    (Nanjing Hydraulic Research Institute)

  • Guoqing Wang

    (Nanjing Hydraulic Research Institute)

  • Huanan Zeng

    (China Water Resources Beifang Investigation Design & Research Co., Ltd.)

  • Zhenchun Hao

    (Hohai University)

Abstract

Spatiotemporal variations in precipitation are closely related to vertically integrated moisture flux divergence (VIMD), where the extremes further cause natural disasters. Based on precipitation data from 151 meteorological stations in the Yangtze River Basin (YRB) for 1979 to 2019 and the meteorological reanalysis data from the European Centre for Medium-Range Weather Forecasts (ECMWF), this paper studied the spatial and temporal characteristics of precipitation and VIMD and investigated their responsive relationship. The variations in precipitation and VIMD were examined using statistical methods, along with three step ‘staircases’ of terrain clusters dividing the whole basin based on descending altitude from west to the east. The results indicated that (1) the annual precipitation increased at a speed of 6.7 mm/10a during the study period: precipitation in spring, autumn and winter showed increasing trends, especially at the high elevation region (e.g., first step terrain), while a decreasing trend appeared in summer. (2) The VIMD trends in the YRB also varied in space and time, but overall, the summer trend pattern dominated the annual pattern. (3) The spatial distribution of VIMD agreed well with the topography clusters, where the first step terrain was dominated by convergence, and the second and third step terrains were dominated by divergence. (4) The average annual precipitation and seasonal precipitation showed responsive relationship with VIMD in terms of cumulative anomalies. Our results provided information on precipitation variability and revealed the characteristics of water vapor flux distribution as well as improved the understanding of the water transport mechanism in the YRB.

Suggested Citation

  • Jing Ma & Qin Ju & Yiheng Du & Yanli Liu & Guoqing Wang & Huanan Zeng & Zhenchun Hao, 2022. "Assessing precipitation variations in the Yangtze River Basin during 1979–2019 by vertically integrated moisture flux divergence," 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. 114(1), pages 971-987, October.
    • Handle: RePEc:spr:nathaz:v:114:y:2022:i:1:d:10.1007_s11069-022-05419-3
    DOI: 10.1007/s11069-022-05419-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-022-05419-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11069-022-05419-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yi-Ming Wei & Biying Yu, 2019. "Editorial for the special issue: integrated assessment model analysis of climate change in 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. 99(3), pages 1195-1196, December.
    2. Yiming Wei & Biying Yu (ed.), 2019. "Integrated assessment model analysis of climate change in China," CEEP-BIT Books, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology, number b17, december.
    3. Xiao-Chen Yuan & Xun Sun, 2019. "Climate change impacts on socioeconomic damages from weather-related events in 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. 99(3), pages 1197-1213, December.
    4. Hefei Huang & Huijuan Cui & Quansheng Ge, 2021. "Assessment of potential risks induced by increasing extreme precipitation under climate change," 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. 108(2), pages 2059-2079, September.
    5. Yinghui Guan & Fenli Zheng & Peng Zhang & Chao Qin, 2015. "Spatial and temporal changes of meteorological disasters in China during 1950–2013," 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. 75(3), pages 2607-2623, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mengwei Song & Xiaohui Jiang & Yuxin Lei & Yirui Zhao & Wenjuan Cai, 2023. "Spatial and temporal variation characteristics of extreme hydrometeorological events in the Yellow River Basin and their effects on vegetation," 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. 116(2), pages 1863-1878, March.
    2. Mariano Gallo & Mario Marinelli, 2020. "Sustainable Mobility: A Review of Possible Actions and Policies," Sustainability, MDPI, vol. 12(18), pages 1-39, September.
    3. Fengsong Pei & Yi Zhou & Yan Xia, 2021. "Assessing the Impacts of Extreme Precipitation Change on Vegetation Activity," Agriculture, MDPI, vol. 11(6), pages 1-16, May.
    4. Jieming Chou & Mingyang Sun & Wenjie Dong & Weixing Zhao & Jiangnan Li & Yuanmeng Li & Jianyin Zhou, 2021. "Assessment and Prediction of Climate Risks in Three Major Urban Agglomerations of Eastern China," Sustainability, MDPI, vol. 13(23), pages 1-21, November.
    5. Ximeng Xu & Qiuhong Tang, 2021. "Meteorological disaster frequency at prefecture-level city scale and induced losses in mainland China during 2011–2019," 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. 109(1), pages 827-844, October.
    6. Zhang, Yu & Hao, Zengchao & Feng, Sifang & Zhang, Xuan & Xu, Yang & Hao, Fanghua, 2021. "Agricultural drought prediction in China based on drought propagation and large-scale drivers," Agricultural Water Management, Elsevier, vol. 255(C).
    7. Nathan P. Kettle & John E. Walsh & Lindsey Heaney & Richard L. Thoman & Kyle Redilla & Lynneva Carroll, 2020. "Integrating archival analysis, observational data, and climate projections to assess extreme event impacts in Alaska," Climatic Change, Springer, vol. 163(2), pages 669-687, November.
    8. Alpo Kapuka & Tomáš Hlásny, 2020. "Social Vulnerability to Natural Hazards in Namibia: A District-Based Analysis," Sustainability, MDPI, vol. 12(12), pages 1-21, June.
    9. Seoro Lee & Kyoung Jae Lim & Jonggun Kim, 2024. "Analysis of Effects of Spatial Distributed Soil Properties and Soil Moisture Behavior on Hourly Streamflow Estimate through the Integration of SWAT and LSM," Sustainability, MDPI, vol. 16(4), pages 1-19, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:114:y:2022:i:1:d:10.1007_s11069-022-05419-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.