Evidence map›Paper›PMID 39148967›Full record

ArticleHeliyon2024

Estimation of return dates and return levels of extreme rainfall in the city of Douala, Cameroon.

Calvin Padji, Cyrille Meukaleuni, Cyrille Mezoue Adiang, Daniel Bongue, David Monkam

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Calvin PadjiDepartment of Physics, Faculty of Science, University of Douala, P.O. Box:24157, Douala, Cameroon.
Cyrille MeukaleuniUniversity Institute of the Coast, P.O. Box:3001, Douala, Cameroon.
Cyrille Mezoue AdiangDepartment of Physics, Faculty of Science, University of Douala, P.O. Box:24157, Douala, Cameroon.
Daniel BongueCEPAMOQ, Faculty of Science, University of Douala, 8580, Douala, Cameroon.
David MonkamDepartment of Physics, Faculty of Science, University of Douala, P.O. Box:24157, Douala, Cameroon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The problem of extreme phenomena with a more precise estimation of their return periods for early warnings, notably to preserve the safety of populations and properties, arises all over the world. This work develops another aspect in the estimation of Return Levels (RLs) and Return Periods (RPs) of extreme precipitation in particular and natural risk in general. In particular, it gives the Return Dates (RDs) with their Confidence Intervals (CIs). The RPs, the RLs and their CIs for extreme rainfall were also investigated. These estimates were made by approaching the peak over a threshold chosen by the Generalized Pareto Distribution (GPD). The CIs of RPs and RLs were determined by the Delta method. The daily rainfall data used were obtained from the data of the synoptic report for the period 2011 to 2021 for the Douala weather station (more details can be found on http://www.ogimet.com/guia.phtml.en). To validate the methods used, real cases of floods occurred in Douala city were considered: for example, a local press compiled flood dates and mentioned that a flood occurred on the April 16, 2013 in this city. Following the data of synoptic report, the corresponding amount of rainfall was around 150 mm. The results obtained have shown a RD on the August 12, 2014. The confidence intervals of return levels and return dates determined by the Delta method were [131.66, 168.456] and [June 23, 2014, January 02, 2015], respectively. These results are in agreement with the data of synoptic report since the rainfall amounts was 132.2 mm (belonging to the confidence interval of return levels), on the August 11, 2014 (belonging to the confidence interval of return dates). These predictions of RDs and RLs with their CIs, at reasonable time scales, can help for efficient management of floods and thus, improve early warnings for safety of populations and goods.

Indexed as

Confidence intervalExtreme precipitationFloodsReturn datesReturn levelReturn period

Identifiers

PMID39148967
PMCPMC11324979

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.