IDEAS home Printed from https://ideas.repec.org/a/spr/aodasc/v6y2019i2d10.1007_s40745-018-0161-4.html
   My bibliography  Save this article

A Note on Modeling the Maxima of Lagos Rainfall

Author

Listed:
  • I. E. Okorie

    (School of Mathematics, University of Manchester)

  • A. C. Akpanta

    (Abia State University)

  • J. Ohakwe

    (Federal University Otuoke)

  • D. C. Chikezie

    (Abia State University)

  • C. U. Onyemachi

    (Abia State University)

  • M. C. Ugwu

    (University of Nigeria)

Abstract

The Lagos annual maximum rainfall is modeled by the generalized extreme value distribution. Hydrologic risk measures like the probability of exceedance or recurrence, return period, and return level is given.

Suggested Citation

  • I. E. Okorie & A. C. Akpanta & J. Ohakwe & D. C. Chikezie & C. U. Onyemachi & M. C. Ugwu, 2019. "A Note on Modeling the Maxima of Lagos Rainfall," Annals of Data Science, Springer, vol. 6(2), pages 341-359, June.
  • Handle: RePEc:spr:aodasc:v:6:y:2019:i:2:d:10.1007_s40745-018-0161-4
    DOI: 10.1007/s40745-018-0161-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40745-018-0161-4
    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/s40745-018-0161-4?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. Takvor Soukissian & Christos Tsalis, 2015. "The effect of the generalized extreme value distribution parameter estimation methods in extreme wind speed prediction," 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. 78(3), pages 1777-1809, September.
    2. Demetris Koutsoyiannis & George Baloutsos, 2000. "Analysis of a Long Record of Annual Maximum Rainfall in Athens, Greece, and Design Rainfall Inferences," 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. 22(1), pages 29-48, July.
    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. Lan-Fen Chu & Michael McAleer & Szu-Hua Wang, 2012. "Statistical Modelling of Recent Changes in Extreme Rainfall in Taiwan," Documentos de Trabajo del ICAE 2012-29, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    2. Jonas Smit Andersen & Sara Maria Lerer & Antje Backhaus & Marina Bergen Jensen & Hjalte Jomo Danielsen Sørup, 2017. "Characteristic Rain Events: A Methodology for Improving the Amenity Value of Stormwater Control Measures," Sustainability, MDPI, vol. 9(10), pages 1-18, October.
    3. Long Wan & Jinxing Zhou & Hongyan Guo & Ming Cui & Yuguo Liu, 2016. "Trend of water resource amount, drought frequency, and agricultural exposure to water stresses in the karst regions of South 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. 80(1), pages 23-42, January.
    4. Elio Chiodo & Bassel Diban & Giovanni Mazzanti & Fabio De Angelis, 2023. "A Review on Wind Speed Extreme Values Modeling and Bayes Estimation for Wind Power Plant Design and Construction," Energies, MDPI, vol. 16(14), pages 1-20, July.
    5. Muhammad Shafeeq ul Rehman Khan & Zamir Hussain & Ishfaq Ahmad, 2021. "Effects of L-Moments, Maximum Likelihood and Maximum Product of Spacing Estimation Methods in Using Pearson Type-3 Distribution for Modeling Extreme Values," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(5), pages 1415-1431, March.
    6. Lan-Fen Chu & Michael McAleer & Ching-Chung Chang, 2012. "Statistical Modelling of Extreme Rainfall in Taiwan," KIER Working Papers 835, Kyoto University, Institute of Economic Research.
    7. Khaled Haddad & Ataur Rahman, 2014. "Derivation of short-duration design rainfalls using daily rainfall statistics," 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. 74(3), pages 1391-1401, December.
    8. Ioannis M. Kourtis & Ioannis Nalbantis & George Tsakiris & Basil Ε. Psiloglou & Vassilios A. Tsihrintzis, 2023. "Updating IDF Curves Under Climate Change: Impact on Rainfall-Induced Runoff in Urban Basins," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(6), pages 2403-2428, May.
    9. Giuricich, Mario Nicoló & Burnecki, Krzysztof, 2019. "Modelling of left-truncated heavy-tailed data with application to catastrophe bond pricing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 498-513.
    10. Amir AghaKouchak & Nasrin Nasrollahi, 2010. "Semi-parametric and Parametric Inference of Extreme Value Models for Rainfall Data," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(6), pages 1229-1249, April.
    11. Matteo Gentilucci & Alessandro Rossi & Niccolò Pelagagge & Domenico Aringoli & Maurizio Barbieri & Gilberto Pambianchi, 2023. "GEV Analysis of Extreme Rainfall: Comparing Different Time Intervals to Analyse Model Response in Terms of Return Levels in the Study Area of Central Italy," Sustainability, MDPI, vol. 15(15), pages 1-25, July.
    12. Dimitrios N. Konispoliatis & Georgios M. Katsaounis & Dimitrios I. Manolas & Takvor H. Soukissian & Stylianos Polyzos & Thomas P. Mazarakos & Spyros G. Voutsinas & Spyridon A. Mavrakos, 2021. "REFOS: A Renewable Energy Multi-Purpose Floating Offshore System," Energies, MDPI, vol. 14(11), pages 1-28, May.
    13. Hakan Aksu & Mahmut Cetin & Hafzullah Aksoy & Sait Genar Yaldiz & Isilsu Yildirim & Gulsah Keklik, 2022. "Spatial and temporal characterization of standard duration-maximum precipitation over Black Sea Region in Turkey," 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 2379-2405, April.
    14. Emmanuel Afuecheta & Chigozie Utazi & Edmore Ranganai & Chibuzor Nnanatu, 2023. "An Application of Extreme Value Theory for Measuring Financial Risk in BRICS Economies," Annals of Data Science, Springer, vol. 10(2), pages 251-290, April.

    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:aodasc:v:6:y:2019:i:2:d:10.1007_s40745-018-0161-4. 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.