IDEAS home Printed from https://ideas.repec.org/a/zib/zbngbr/v8y2024i2p136-145.html
   My bibliography  Save this article

Contribution To The Study Of Assessing Rainfall Patterns As Indicators Of Climate Change: A Study In Kinshasa City, Democratic Republic Of Congo

Author

Listed:
  • Rais Seki Lenzo

    (China University of Geosciences, Wuhan 430074, China)

  • Jean-Pierre Kalay Kut

    (Faculty of Oil, Gas and Renewable Energies, Exploration and Production Department, University of Kinshasa, DR Congo)

  • Kasongo Numbi Kashemukunda

    (Laboratory of Hydraulic Development and Energy Production Engineering (LAH-IPE), University of Kinshasa, DR Congo)

  • Kaloucha Kanga Nsiama

    (Laboratory of Hydraulic Development and Energy Production Engineering (LAH-IPE), University of Kinshasa, DR Congo)

  • Gradi Kalonji Lelo

    (China University of Petroleum, Qindao 266580, China)

  • Ange Kra

    (National Center for Remote Sensing (CNT), Kinshasa, DR Congo)

  • Aurelie Nkayulu Wa Luvuvamu

    (Faculty of Oil, Gas and Renewable Energies, Exploration and Production Department, University of Kinshasa, DR Congo)

  • Kevin Lumpungu Lutumba

    (Geophysical Research Center (C.R.G), Internal Geophysics Department, Kinshasa, DR Congo)

Abstract

Climate change is manifesting globally with phenomena like floods, storms, crop failures, droughts, and migrations. Kinshasa, the capital of the Democratic Republic of Congo (DRC), is significantly impacted by these changes. Despite its vulnerability, modern research on climate change in the region is lacking. This study aims to fill this gap by investigating rainfall data as an indicator of climate change in Kinshasa. Analyzing 32 years of daily rainfall records (1988-2019), it evaluates patterns such as consecutive dry days, rainy season duration, and maximum daily rainfall. This comprehensive assessment seeks to enhance understanding of climate dynamics in Kinshasa and support the development of targeted resilience measures in the DRC

Suggested Citation

  • Rais Seki Lenzo & Jean-Pierre Kalay Kut & Kasongo Numbi Kashemukunda & Kaloucha Kanga Nsiama & Gradi Kalonji Lelo & Ange Kra & Aurelie Nkayulu Wa Luvuvamu & Kevin Lumpungu Lutumba, 2024. "Contribution To The Study Of Assessing Rainfall Patterns As Indicators Of Climate Change: A Study In Kinshasa City, Democratic Republic Of Congo," Geological Behavior (GBR), Zibeline International Publishing, vol. 8(2), pages 136-145, September.
    • Handle: RePEc:zib:zbngbr:v:8:y:2024:i:2:p:136-145
    DOI: 10.26480/gbr.02.2024.136.145
    as

    Download full text from publisher

    File URL: https://geologicalbehavior.com/archives/2gbr2024/2gbr2024-136-145.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.26480/gbr.02.2024.136.145?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
    ---><---

    References listed on IDEAS

    as
    1. Ciarli, Tommaso & Savona, Maria, 2019. "Modelling the Evolution of Economic Structure and Climate Change: A Review," Ecological Economics, Elsevier, vol. 158(C), pages 51-64.
    2. Yusuf Can Sevil & Tugba Ozkal Yildiz, 2022. "Gumbel’s bivariate exponential distribution: estimation of the association parameter using ranked set sampling," Computational Statistics, Springer, vol. 37(4), pages 1695-1726, September.
    3. Kahadawala Cooray, 2010. "Generalized Gumbel distribution," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(1), pages 171-179.
    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. Joaquín Bernal-Ramírez & Jair Ojeda-Joya & Camila Agudelo-Rivera & Felipe Clavijo-Ramírez & Carolina Durana-Ángel & Clark Granger-Castaño & Daniel Osorio-Rodríguez & Daniel Parra-Amado & José Pulido &, 2022. "Impacto macroeconómico del cambio climático en Colombia," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, issue 102, pages 1-62, July.
    2. Louis Geiler & Séverine Affeldt & Mohamed Nadif, 2022. "A survey on machine learning methods for churn prediction," Post-Print hal-03824873, HAL.
    3. Savona, María, 2020. "A “new normal” as a “new essential”? COVID-19, digital transformations and employment structures," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
    4. Francesco Busato & Bruno Chiarini & Gianluigi Cisco & Maria Ferrara, 2023. "Green preferences," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(4), pages 3211-3253, April.
    5. Attahir B. Abubakar & Suleiman O. Mamman & Abdulmalik M. Yusuf, 2025. "Pathways to climate neutrality: The role of structural change," Sustainable Development, John Wiley & Sons, Ltd., vol. 33(2), pages 1729-1744, April.
    6. Qingyang Liu & Xianzheng Huang & Haiming Zhou, 2024. "The Flexible Gumbel Distribution: A New Model for Inference about the Mode," Stats, MDPI, vol. 7(1), pages 1-16, March.
    7. Ciola, Emanuele & Turco, Enrico & Gurgone, Andrea & Bazzana, Davide & Vergalli, Sergio & Menoncin, Francesco, 2023. "Enter the MATRIX model:a Multi-Agent model for Transition Risks with application to energy shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    8. Busato, Francesco & Chiarini, Bruno & Cisco, Gianluigi & Ferrara, Maria, 2021. "Greta Thunberg effect and Business Cycle Dynamics: A DSGE model," MPRA Paper 110141, University Library of Munich, Germany.
    9. Nathalie Lazaric & Pasquale Tridico & Sebastiano Fadda, 2020. "Governing structural changes and sustainability through (new) institutions and organizations," Journal of Evolutionary Economics, Springer, vol. 30(5), pages 1267-1273, November.
    10. Gong, Ziqian & Cai, Yongyang, 2022. "Development under Spatial Equilibrium for the Great Lakes Region," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322115, Agricultural and Applied Economics Association.
    11. Cafferata, Alessia & Dávila-Fernández, Marwil J. & Sordi, Serena, 2021. "Seeing what can(not) be seen: Confirmation bias, employment dynamics and climate change," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 567-586.
    12. Hardt, Lukas & Barrett, John & Taylor, Peter G. & Foxon, Timothy J., 2021. "What structural change is needed for a post-growth economy: A framework of analysis and empirical evidence," Ecological Economics, Elsevier, vol. 179(C).
    13. Taberna, Alessandro & Filatova, Tatiana & Roventini, Andrea & Lamperti, Francesco, 2022. "Coping with increasing tides: Evolving agglomeration dynamics and technological change under exacerbating hazards," Ecological Economics, Elsevier, vol. 202(C).
    14. Alessandro Taberna & Tatiana Filatova & Andrea Roventini & Francesco Lamperti, 2021. "Coping with increasing tides: technological change, agglomeration dynamics and climate hazards in an agent-based evolutionary model," LEM Papers Series 2021/44, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    15. Stefano Di Bucchianico & Federica Cappelli, 2021. "Exploring the theoretical link between profitability and luxury emissions," Working Papers PKWP2114, Post Keynesian Economics Society (PKES).
    16. Marwil J. Dávila-Fernández & Serena Sordi & Alessia Cafferata, 2024. "How do you feel about going green? Modelling environmental sentiments in a growing open economy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 19(4), pages 649-687, October.
    17. Sordi, Serena & Dávila-Fernández, Marwil J., 2023. "The green-MKS system: A baseline environmental macro-dynamic model," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 1056-1085.
    18. Wilson Gyasi & Kahadawala Cooray, 2024. "New generalized extreme value distribution with applications to extreme temperature data," Environmetrics, John Wiley & Sons, Ltd., vol. 35(3), May.
    19. Gregor Semieniuk & Emanuele Campiglio & Jean‐Francois Mercure & Ulrich Volz & Neil R. Edwards, 2021. "Low‐carbon transition risks for finance," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 12(1), January.
    20. Adel Ben Youssef & Adelina Zeqiri, 2022. "Hospitality Industry 4.0 and Climate Change," Circular Economy and Sustainability, Springer, vol. 2(3), pages 1043-1063, September.

    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:zib:zbngbr:v:8:y:2024:i:2:p:136-145. 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: Zibeline International Publishing The email address of this maintainer does not seem to be valid anymore. Please ask Zibeline International Publishing to update the entry or send us the correct address (email available below). General contact details of provider: https://geologicalbehavior.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.