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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
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    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.
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