CONTRIBUTION TO THE STUDY OF ASSESSING RAINFALL PATTERNS AS INDICATORS OF CLIMATE CHANGE: A STUDY IN KINSHASA CITY, DEMOCRATIC REPUBLIC OF CONGO

Rais Seki Lenzo (), Jean-Pierre Kalay Kut, Kasongo Numbi Kashemukunda, Kaloucha Kanga Nsiama, Gradi Kalonji Lelo, Ange Kra, Aurelie Nkayulu Wa Luvuvamu and Kevin Lumpungu Lutumba
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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

Geological Behavior (GBR), 2024, vol. 8, issue 2, 136-145

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

Keywords: Rainfall; indicator; climate Change; episodes; frequency analysis (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:zib:zbngbr:v:8:y:2024:i:2:p:136-145

DOI: 10.26480/gbr.02.2024.136.145

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