IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v75y2015i2p199-217.html
   My bibliography  Save this article

Spatiotemporal variation of meteorological droughts based on the daily comprehensive drought index in the Haihe River basin, China

Author

Listed:
  • Jun He
  • Xiao-Hua Yang
  • Jian-Qiang Li
  • Ju-Liang Jin
  • Yi-Ming Wei
  • Xiao-Juan Chen

Abstract

Meteorological droughts can affect large areas and may have serious environmental, social and economic impacts. These impacts depend on the severity, duration, and spatial extent of the precipitation deficit and the socioeconomic vulnerability of the affected regions. This paper examines the spatiotemporal variation of meteorological droughts in the Haihe River basin. Meteorological droughts events were diagnosed using daily meteorological data from 44 stations by calculating a comprehensive drought index (CI) for the period 1961–2011. Based on the daily CI values of each station over the past 50 years, the drought processes at each station were confirmed, and the severity, duration and frequency of each meteorological drought event were computed and analyzed. The results suggest the following conclusions: (1) the use of the CI index can effectively trace the development of drought and can also identify the duration and severity of each drought event; (2) the average drought duration was 57–85 days in each region of the Haihe River basin, and the region with the highest average values of drought duration and drought severity was Bohai Bay; (3) drought occurred more than 48 times over the study period, which is more than 0.95 times per year over the 50 years studied. The average frequencies of non-drought days, severe drought days and extreme drought days over the study period were 51.2, 3.2 and 0.4 %, respectively. Severe drought events mainly occurred in the south branch of the Hai River, and extreme drought events mainly occurred in the Shandong Peninsula and Bohai Bay; (4) the annual precipitation and potential evapotranspiration of the Haihe River basin show decreasing trends over the past 50 years. The frequency of severe drought and extreme drought events has increased in the past 20 years than during the period 1961–1990. The results of this study may serve as a reference point for decision regarding basin water resources management, ecological recovery and drought hazard vulnerability analysis. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Jun He & Xiao-Hua Yang & Jian-Qiang Li & Ju-Liang Jin & Yi-Ming Wei & Xiao-Juan Chen, 2015. "Spatiotemporal variation of meteorological droughts based on the daily comprehensive drought index in the Haihe 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. 75(2), pages 199-217, February.
    • Handle: RePEc:spr:nathaz:v:75:y:2015:i:2:p:199-217
    DOI: 10.1007/s11069-014-1158-8
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11069-014-1158-8
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11069-014-1158-8?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. B. Dash & M. Rafiuddin & Fahima Khanam & M. Islam, 2012. "Characteristics of meteorological drought in Bangladesh," 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. 64(2), pages 1461-1474, November.
    2. Ju-Liang Jin & Yi-Ming Wei & Le-Le Zou & Li Liu & Juan Fu, 2012. "Risk evaluation of China’s natural disaster systems: an approach based on triangular fuzzy numbers and stochastic simulation," 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. 62(1), pages 129-139, May.
    3. Shamsuddin Shahid & Houshang Behrawan, 2008. "Drought risk assessment in the western part of Bangladesh," 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. 46(3), pages 391-413, September.
    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. 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.
    2. Xiao, Xin & Ming, Wenting & Luo, Xuan & Yang, Luyi & Li, Meng & Yang, Pengwu & Ji, Xuan & Li, Yungang, 2024. "Leveraging multisource data for accurate agricultural drought monitoring: A hybrid deep learning model," Agricultural Water Management, Elsevier, vol. 293(C).
    3. Feng Gao & Yuhu Zhang & Xiulin Ren & Yunjun Yao & Zengchao Hao & Wanyuan Cai, 2018. "Evaluation of CHIRPS and its application for drought monitoring over the Haihe 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. 92(1), pages 155-172, May.

    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. Naiming Xie & Jianghui Xin & Sifeng Liu, 2014. "China’s regional meteorological disaster loss analysis and evaluation based on grey cluster model," 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. 71(2), pages 1067-1089, March.
    2. Md. Sazedur Rahman* & Md. Ashfikur Rahman, 2019. "Impacts of Climate Change on Crop Production in Bangladesh: A Review," Journal of Agriculture and Crops, Academic Research Publishing Group, vol. 5(1), pages 6-14, 01-2019.
    3. Mondol, Md Anarul Haque & Zhu, Xuan & Dunkerley, David & Henley, Benjamin J., 2021. "Observed meteorological drought trends in Bangladesh identified with the Effective Drought Index (EDI)," Agricultural Water Management, Elsevier, vol. 255(C).
    4. Mondol, Md Anarul Haque & Zhu, Xuan & Dunkerley, David & Henley, Benjamin J., 2022. "Changing occurrence of crop water surplus or deficit and the impact of irrigation: An analysis highlighting consequences for rice production in Bangladesh," Agricultural Water Management, Elsevier, vol. 269(C).
    5. Jamal Uddin Khan & A. K. M. Saiful Islam & Mohan K. Das & Khaled Mohammed & Sujit Kumar Bala & G. M. Tarekul Islam, 2020. "Future changes in meteorological drought characteristics over Bangladesh projected by the CMIP5 multi-model ensemble," Climatic Change, Springer, vol. 162(2), pages 667-685, September.
    6. Yue Zhao & Zaiwu Gong & Wenhao Wang & Kai Luo, 2014. "The comprehensive risk evaluation on rainstorm and flood disaster losses in China mainland from 2004 to 2009: based on the triangular gray correlation theory," 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. 71(2), pages 1001-1016, March.
    7. A. S. Giannikopoulou & F. K. Gad & E. Kampragou & D. Assimacopoulos, 2017. "Risk-Based Assessment of Drought Mitigation Options: the Case of Syros Island, Greece," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(2), pages 655-669, January.
    8. Jing Wang & Feng Fang & Qiang Zhang & Jinsong Wang & Yubi Yao & Wei Wang, 2016. "Risk evaluation of agricultural disaster impacts on food production in southern China by probability density method," 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. 83(3), pages 1605-1634, September.
    9. Daniela Salite, 2019. "Explaining the uncertainty: understanding small-scale farmers’ cultural beliefs and reasoning of drought causes in Gaza Province, Southern Mozambique," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 36(3), pages 427-441, September.
    10. Hongjian Zhou & Jing’ai Wang & Jinhong Wan & Huicong Jia, 2010. "Resilience to natural hazards: a geographic perspective," 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. 53(1), pages 21-41, April.
    11. Itziar González Tánago & Julia Urquijo & Veit Blauhut & Fermín Villarroya & Lucia De Stefano, 2016. "Learning from experience: a systematic review of assessments of vulnerability to drought," 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. 80(2), pages 951-973, January.
    12. Yuanshu Jing & Jian Li & Yongyuan Weng & Jing Wang, 2014. "The assessment of drought relief by typhoon Saomai based on MODIS remote sensing data in Shanghai, 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. 71(2), pages 1215-1225, March.
    13. Sarker, Md. Abdur Rashid & Alam, Khorshed & Gow, Jeff, 2012. "Exploring the relationship between climate change and rice yield in Bangladesh: An analysis of time series data," Agricultural Systems, Elsevier, vol. 112(C), pages 11-16.
    14. Md. Jahangir Kabir & Mohammad Alauddin & Steven Crimp, 2016. "Farm-level Adaptation to Climate Change in Western Bangladesh: An Analysis of Adaptation Dynamics, Profitability and Risks," Discussion Papers Series 576, School of Economics, University of Queensland, Australia.
    15. Md. Nazir Hossain & Swapna Chowdhury & Shitangsu Kumar Paul, 2016. "Farmer-level adaptation to climate change and agricultural drought: empirical evidences from the Barind region of Bangladesh," 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. 83(2), pages 1007-1026, September.
    16. Yadav, Nishi, 2024. "Towards Sustainable Agri-Food Systems: Assessment of Climate Risk and its impact on Rice Productivity for Indian States," IAAE 2024 Conference, August 2-7, 2024, New Delhi, India 344338, International Association of Agricultural Economists (IAAE).
    17. Xining Zhao & Pute Wu, 2013. "Meteorological drought over the Chinese Loess Plateau: 1971–2010," 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. 67(2), pages 951-961, June.
    18. Acharjee, Tapos Kumar & Halsema, Gerardo van & Ludwig, Fulco & Hellegers, Petra, 2017. "Declining trends of water requirements of dry season Boro rice in the north-west Bangladesh," Agricultural Water Management, Elsevier, vol. 180(PA), pages 148-159.
    19. Divya Saini & Omvir Singh & Tejpal Sharma & Pankaj Bhardwaj, 2022. "Geoinformatics and analytic hierarchy process based drought vulnerability assessment over a dryland ecosystem of north-western 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. 114(2), pages 1427-1454, November.
    20. Ming-Wu Wang & Peng Xu & Jian Li & Kui-Yuan Zhao, 2014. "A novel set pair analysis method based on variable weights for liquefaction evaluation," 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(2), pages 1527-1534, January.

    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:75:y:2015:i:2:p:199-217. 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.