Spatiotemporal Variability of Extreme Rainfall in Southern Benin in the Context of Global Warming

Hounvou, S. F.; Guedje, K. F.; Hilaire, Kougbéagbédè; Adéchinan, Joseph Adébiyi; Houngninou, E.; Houeto, A.

doi:10.1155/2023/9902326

Cited by 2 publications

(2 citation statements)

References 58 publications

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“…Composite analysis was performed by calculating the average value of each atmospheric dynamic variable during September-October-November 2000 -2020 together with the average value of the variables when there were extreme rainfall and flood events with the aim of obtaining the anomaly values. These values are then mapped and analysed for each variable (Hounvou et al, 2023).…”

Section: Analysis Of Atmospheric Dynamics Before Extreme Rainfall And...mentioning

confidence: 99%

The Atmospheric Dynamics Related to Extreme Rainfall and Flood Events during September-October-November in South Sulawesi

Ulfiana,

Arsyad,

Palloan

2023

For. Geo.

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This study was conducted to analyse the occurrence of extreme rainfall and the dynamics of the atmosphere prior to the occurrence of extreme rainfall and flood events in South Sulawesi during September-October-November (South Sulawesi’s dry season). The data used is daily data for the period 2001-2020. Using 50 mm/day and the 90th percentile rainfall threshold of 119 rain stations distributed over 24 regencies, extreme rainfall events in each region were identified. Furthermore, after screening for extreme rainfall events followed by flood events, a composite analysis was carried out to obtain patterns of atmospheric conditions before the extreme rainfall events. The results of the study confirm that spatially, the highest extreme rainfall indices values dominate in the western and northern regions of South Sulawesi, both frequency and intensity indicators. Flood events in South Sulawesi during September-October-November 2001-2020 were recorded as 23 days, of which 19 days were the flood events after extreme rainfall events. The dynamics of the atmosphere before the extreme rainfall event followed by the flood event showed anomalies in precipitable water, 850 mb winds, and 200 mb winds. An increase in the amount of precipitable water and a wind speed of 850 mb, as well as a decrease in wind speed of 250 mb compared to normal in the South Sulawesi region and its surroundings, has resulted in an increase in the formation of rain clouds that have the potential to increase the chance of extreme rainfall.

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Section: Analysis Of Atmospheric Dynamics Before Extreme Rainfall And...mentioning

confidence: 99%

The Atmospheric Dynamics Related to Extreme Rainfall and Flood Events during September-October-November in South Sulawesi

Ulfiana,

Arsyad,

Palloan

2023

For. Geo.

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“…Te climate is subequatorial, with two alternating rainy seasons (April to July and September to November) and two dry seasons (December to March and August). Te average annual rainfall is approximately 1300 mm, of which approximately half occurs in June and July [18]. Except for the Lagoon of Cotonou, the town of Cotonou has no rivers.…”

Section: Research Areamentioning

confidence: 99%

Assessing the Return Periods and Hydroclimatic Parameters for Rainwater Drainage in the Coastal City of Cotonou in Benin under Climate Variability

Badou,

Hounkanrin,

Hounkpè

et al. 2023

Advances in Meteorology

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Cotonou, the economic capital of Benin, is suffering from the impacts of climate change, particularly evident through recurrent floods. To effectively manage these floods and address this issue, it is crucial to have a deep understanding of return periods and hydroclimatic parameters (such as intensity-duration-frequency (IDF) curves and related coefficients), which are essential for designing stormwater drainage structures. Determining return periods and these parameters requires statistical analysis of extreme events, and this analysis needs to be regularly updated in response to climate change. The objective of this study was to determine the necessary return periods and hydroclimatic parameters to improve stormwater drainage systems in the city and its surroundings areas. This required annual maximum precipitation series of 1, 2, 3, 6, 12, and 24 h for 20 years length (1999–2018) as well as flood record data. The intensity series, derived by dividing the amount of rainfall by its duration, was adjusted using Gumbel’s law. IDF curves were constructed based on Montana and Talbot models, and their coefficients were determined according to the corresponding return periods. In 2010, which witnessed devastating floods in the country, the return period for the most intense rainfall events was 40 years, followed by 2013 with a return period of 13.4 years. Consequently, the commonly used 10-year return period for the design of stormwater drainage structures in Cotonou is insufficient. The Talbot model produced the lowest mean square errors for each quantile series and coefficients of determination closest to one, indicating that the parameters obtained from this model are well suited for designing hydraulic structures in Cotonou. The hydroclimatic parameters presented in this study will contribute to the improved design of hydraulic structures in the city of Cotonou.

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Spatiotemporal Variability of Extreme Rainfall in Southern Benin in the Context of Global Warming

Cited by 2 publications

References 58 publications

The Atmospheric Dynamics Related to Extreme Rainfall and Flood Events during September-October-November in South Sulawesi

The Atmospheric Dynamics Related to Extreme Rainfall and Flood Events during September-October-November in South Sulawesi

Assessing the Return Periods and Hydroclimatic Parameters for Rainwater Drainage in the Coastal City of Cotonou in Benin under Climate Variability

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