IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v88y2017i2d10.1007_s11069-017-2904-5.html
   My bibliography  Save this article

The spatio-temporal variability of droughts using the standardized precipitation index in Yunnan, China

Author

Listed:
  • Ziqi Yan

    (China Institute of Water Resources and Hydropower Research)

  • Yapeng Zhang

    (North China University of Water Resources and Electric Power)

  • Zuhao Zhou

    (China Institute of Water Resources and Hydropower Research)

  • Ning Han

    (China Institute of Water Resources and Hydropower Research)

Abstract

Based on the daily precipitation data from 33 meteorological stations in Yunnan Province from 1959 to 2013, the standardized precipitation index was calculated to analyze the drought frequency, station proportion, and drought intensity. The following conclusions were drawn from the analysis: (1) Drought exhibited a well-defined spatial-temporal variability characteristic. The drought frequency was much higher in the central and western areas of Yunnan, although it was the opposite throughout most of the southwestern and eastern regions. In past decades, centers with a high probability of drought was found: In the 1960s, it was located in the northwestern region of Yunnan. It was found in the northwestern and southeastern areas in the 1970s, the central region in the 1980s, the northwestern area in the 1990s, and central Yunnan and western Yunnan after 2000. (2) The drought frequency and intensity both increased at multiple timescales. The affected areas exhibited a well-defined upward trend in summer, autumn and winter. (3) The drought was normalized in Yunnan. However, in 1973, there was no severe inter-annual drought event. Moreover, there is 7% of the observed months in which no drought occurred. (4) The drought intensity increased at multiple timescales, especially in the summer and autumn. (5) There was a piecewise linear correlation between the drought area and the drought intensity. The enhancement of the intensity coincided with an increase in the affected areas. When the intensity value exceeded 1.5, the drought area decreased immediately, although it exhibited linear positive correlation with intensity.

Suggested Citation

  • Ziqi Yan & Yapeng Zhang & Zuhao Zhou & Ning Han, 2017. "The spatio-temporal variability of droughts using the standardized precipitation index in Yunnan, 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. 88(2), pages 1023-1042, September.
    • Handle: RePEc:spr:nathaz:v:88:y:2017:i:2:d:10.1007_s11069-017-2904-5
    DOI: 10.1007/s11069-017-2904-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-017-2904-5
    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/s11069-017-2904-5?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. Wang Xiao-jun & Zhang Jian-yun & Shamsuddin Shahid & Amgad ElMahdi & He Rui-min & Bao Zhen-xin & Mahtab Ali, 2012. "Water resources management strategy for adaptation to droughts in China," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 17(8), pages 923-937, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Omidreza Mikaili & Majid Rahimzadegan, 2022. "Investigating remote sensing indices to monitor drought impacts on a local scale (case study: Fars province, Iran)," 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. 111(3), pages 2511-2529, April.
    2. Qiongfang Li & Yao Du & Zhennan Liu & Zhengmo Zhou & Guobin Lu & Qihui Chen, 2022. "Drought prediction in the Yunnan–Guizhou Plateau of China by coupling the estimation of distribution algorithm and the extreme learning machine," 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. 113(3), pages 1635-1661, September.
    3. K. F. Fung & Y. F. Huang & C. H. Koo, 2020. "Assessing drought conditions through temporal pattern, spatial characteristic and operational accuracy indicated by SPI and SPEI: case analysis for Peninsular Malaysia," 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. 103(2), pages 2071-2101, September.

    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. Shang, Yizi & Lu, Shibao & Shang, Ling & Li, Xiaofei & Shi, Hongwang & Li, Wei, 2017. "Decomposition of industrial water use from 2003 to 2012 in Tianjin, China," Technological Forecasting and Social Change, Elsevier, vol. 116(C), pages 53-61.
    2. Birthal, Pratap S. & Negi, Digvijay S. & Khan, Md. Tajuddin & Agarwal, Shaily, 2015. "Is Indian agriculture becoming resilient to droughts? Evidence from rice production systems," Food Policy, Elsevier, vol. 56(C), pages 1-12.
    3. Pourzand, Farnaz & Noy, Ilan & Sağlam, Yiğit, 2019. "Droughts and farms’ financial performance in New Zealand: A micro farm level study," Working Paper Series 8159, Victoria University of Wellington, School of Economics and Finance.
    4. Xiao-jun Wang & Jian-yun Zhang & Juan Gao & Shamsuddin Shahid & Xing-hui Xia & Zhi Geng & Li Tang, 2018. "The new concept of water resources management in China: ensuring water security in changing environment," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(2), pages 897-909, April.
    5. Rawshan Ali & Alban Kuriqi & Shadan Abubaker & Ozgur Kisi, 2019. "Hydrologic Alteration at the Upper and Middle Part of the Yangtze River, China: Towards Sustainable Water Resource Management Under Increasing Water Exploitation," Sustainability, MDPI, vol. 11(19), pages 1-16, September.
    6. Farnaz Pourzand & Ilan Noy & Yigit Saglam, 2019. "Droughts and farms' financial performance in New Zealand: a micro farm-level study," CESifo Working Paper Series 7633, CESifo.
    7. Shazia Kousar & Farhan Ahmed & María de las Nieves López García & Nimra Ashraf, 2020. "Renewable Energy Consumption, Water Crises, and Environmental Degradation with Moderating Role of Governance: Dynamic Panel Analysis under Cross-Sectional Dependence," Sustainability, MDPI, vol. 12(24), pages 1-16, December.
    8. Wang Xiao-jun & Zhang Jian-yun & Amgad Elmahdi & Shamsuddin Shahid & Gao Juan, 2023. "A water resources assessment framework for management strategies of large coal-power bases development in China," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 28(6), pages 1-19, August.
    9. Mahiuddin Alamgir & Morteza Mohsenipour & Rajab Homsi & Xiaojun Wang & Shamsuddin Shahid & Mohammed Sanusi Shiru & Nor Eliza Alias & Ali Yuzir, 2019. "Parametric Assessment of Seasonal Drought Risk to Crop Production in Bangladesh," Sustainability, MDPI, vol. 11(5), pages 1-17, March.
    10. Athar Kamal & Sami G. Al-Ghamdi & Muammer Koç, 2021. "Assessing the Impact of Water Efficiency Policies on Qatar’s Electricity and Water Sectors," Energies, MDPI, vol. 14(14), pages 1-30, July.

    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:88:y:2017:i:2:d:10.1007_s11069-017-2904-5. 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.