IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v112y2022i3d10.1007_s11069-022-05273-3.html
   My bibliography  Save this article

Developing objective dry spell and drought triggers for drought monitoring in the Niger Basin of West Africa

Author

Listed:
  • J. N. Okpara

    (Federal University of Technology, Akure (FUTA)
    Nnamdi Azikiwe International Airport)

  • K. O. Ogunjobi

    (Federal University of Technology, Akure (FUTA)
    WASCAL Competence Center (Coc))

  • E. A. Adefisan

    (Federal University of Technology, Akure (FUTA)
    African Centre of Meteorological Applications for Development (ACMAD))

Abstract

To effectively manage drought in the Niger River Basin known for its high interannual rainfall variability and continuous adverse drought impacts and challenges, decision-makers need to distinguish dry spells from drought. Operational drought triggers also needed to activate water resource management measures and determine the level of intervention, which are presently lacking. With 36 years of precipitation reanalysis records from 60 locations, the study attempts to establish index- and percentiles-based thresholds for defining dry spell and drought through baseline assessment analysis of the historic 1980s regional drought-induced famine, using percentile rank approach. Results indicate 1980s drought-induced famine occurred within thresholds of 20th, 10th, 5th, and 2nd percentiles, while the drought precursors, the dry spells occur within 35th, 20th, 10th, and 5th percentiles. The corresponding objective index thresholds based on SPI-2 month ranges from − 0.22 to − 0.45, − 0.45 to − 0.93, − 0.93 to − 1.20, − 1.66 to − 1.83 defining dry spell, abnormal dry spell, critical/extreme dry spell, and drought conditions; and SPI-6 month thresholds of range − 0.38 to − 1.07, − 0.59 to − 1.58, − 0.64 to − 1.79 and − 0.67 to − 2.21 defining drought of moderate, severe, extreme, and exceptional intensities respectively depending on location. The thresholds vary from month to month, reflecting seasonality, and detect drought onset much earlier because of its lower values relative to the higher, subjective, and arbitrary fixed SPI thresholds of − 1.0 to − 1.49 for defining moderate drought conditions that could be misleading. The threshold validation results show a success rate of 50 to 70 percent. Results operationally useful for early drought detection.

Suggested Citation

  • J. N. Okpara & K. O. Ogunjobi & E. A. Adefisan, 2022. "Developing objective dry spell and drought triggers for drought monitoring in the Niger Basin of West Africa," 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. 112(3), pages 2465-2492, July.
  • Handle: RePEc:spr:nathaz:v:112:y:2022:i:3:d:10.1007_s11069-022-05273-3
    DOI: 10.1007/s11069-022-05273-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-022-05273-3
    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/s11069-022-05273-3?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. Y. Ghile & M. Taner & C. Brown & J. Grijsen & Amal Talbi, 2014. "Bottom-up climate risk assessment of infrastructure investment in the Niger River Basin," Climatic Change, Springer, vol. 122(1), pages 97-110, January.
    2. Linda Botterill & Michael Hayes, 2012. "Drought triggers and declarations: science and policy considerations for drought risk management," 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(1), pages 139-151, October.
    3. J. N. Okpara & E. A. Afiesimama & A. C. Anuforom & A. Owino & K. O. Ogunjobi, 2017. "The applicability of Standardized Precipitation Index: drought characterization for early warning system and weather index insurance in West Africa," 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. 89(2), pages 555-583, November.
    4. Cabral, Joseph François, 2014. "Rainfall and economic growth and poverty: Evidence from Senegal and Burkina Faso," AGRODEP working papers 8, International Food Policy Research Institute (IFPRI).
    5. Namara, Regassa E. & Barry, Boubacar & Owusu, Eric S. & Ogilvie, A., 2011. "An overview of the development challenges and constraints of the Niger Basin and possible intervention strategies," IWMI Working Papers H044299, International Water Management Institute.
    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. Gift Nxumalo & Bashar Bashir & Karam Alsafadi & Hussein Bachir & Endre Harsányi & Sana Arshad & Safwan Mohammed, 2022. "Meteorological Drought Variability and Its Impact on Wheat Yields across South Africa," IJERPH, MDPI, vol. 19(24), pages 1-22, December.
    2. Zablon W. Shilenje & Victor Ongoma & Mercy Njagi, 2019. "Applicability of Combined Drought Index in drought analysis over North Eastern Kenya," 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(1), pages 379-389, October.
    3. Diagne, Youssoupha Sakrya & Thiam, Dame, 2020. "La résilience de l'économie sénégalaise : Quelles politiques publiques en réponses aux chocs exogènes? [Resillience of the senegalese economy; What policy responses to exogenous shocks?]," MPRA Paper 114018, University Library of Munich, Germany.
    4. Xinyu Fu & Mark Svoboda & Zhenghong Tang & Zhijun Dai & Jianjun Wu, 2013. "An overview of US state drought plans: crisis or risk management?," 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 1607-1627, December.
    5. Julie Shortridge & Seth Guikema & Ben Zaitchik, 2017. "Robust decision making in data scarce contexts: addressing data and model limitations for infrastructure planning under transient climate change," Climatic Change, Springer, vol. 140(2), pages 323-337, January.
    6. Simi Goyol & Chaminda Pathirage, 2018. "Farmers Perceptions of Climate Change Related Events in Shendam and Riyom, Nigeria," Economies, MDPI, vol. 6(4), pages 1-26, December.
    7. Siriklao Sangkhaphan & Yang Shu, 2019. "The Effect of Rainfall on Economic Growth in Thailand: A Blessing for Poor Provinces," Economies, MDPI, vol. 8(1), pages 1-17, December.
    8. 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.
    9. Y. Ghile & M. Taner & C. Brown & J. Grijsen & Amal Talbi, 2014. "Bottom-up climate risk assessment of infrastructure investment in the Niger River Basin," Climatic Change, Springer, vol. 122(1), pages 97-110, January.
    10. Guido Rianna & Luca Comegna & Alfredo Reder & Gianfranco Urciuoli & Luciano Picarelli, 2023. "A simplified procedure to assess the effects of climate change on landslide hazard in a small area of the Southern Apennines in Italy," 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. 115(3), pages 2633-2654, February.
    11. Bilel Zerouali & Mohamed Chettih & Zaki Abda & Mohamed Mesbah & Celso Augusto Guimarães Santos & Reginaldo Moura Brasil Neto & Richarde Marques Silva, 2021. "Spatiotemporal meteorological drought assessment in a humid Mediterranean region: case study of the Oued Sebaou basin (northern central Algeria)," 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(1), pages 689-709, August.
    12. Nam, Won-Ho & Hayes, Michael J. & Svoboda, Mark D. & Tadesse, Tsegaye & Wilhite, Donald A., 2015. "Drought hazard assessment in the context of climate change for South Korea," Agricultural Water Management, Elsevier, vol. 160(C), pages 106-117.
    13. Jessica Bhardwaj & Yuriy Kuleshov & Andrew B. Watkins & Isabella Aitkenhead & Atifa Asghari, 2021. "Building capacity for a user-centred Integrated Early Warning System (I-EWS) for drought in the Northern Murray-Darling Basin," 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. 107(1), pages 97-122, May.
    14. de Queiroz, Anderson Rodrigo & Faria, Victor A.D. & Lima, Luana M.M. & Lima, José W.M., 2019. "Hydropower revenues under the threat of climate change in Brazil," Renewable Energy, Elsevier, vol. 133(C), pages 873-882.
    15. Md Mazharul Islam & Majed Alharthi & Md Wahid Murad, 2021. "The effects of carbon emissions, rainfall, temperature, inflation, population, and unemployment on economic growth in Saudi Arabia: An ARDL investigation," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-21, April.
    16. Eltazarov, Sarvarbek & Bobojonov, Ihtiyor & Kuhn, Lena & Glauben, Thomas, 2021. "Mapping weather risk – A multi-indicator analysis of satellite-based weather data for agricultural index insurance development in semi-arid and arid zones of Central Asia," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 23.

    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:112:y:2022:i:3:d:10.1007_s11069-022-05273-3. 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.