Exploring the intensity, duration and frequency of rainfall in selected Southern Nigeria's urban landscapes

Southern Nigeria faces recurring challenges from high annual rainfall, thus resulting to frequent floods, gully erosion, damage to agriculture, water systems, and infrastructure. Studies that employed recent long span rainfall data with the use of precipitation duration curves in these areas are sparse. Forty years (1982 to 2021) maximum daily rainfall data for Akure, Calabar, Enugu, Ikeja, Owerri, and Yenegoa were scaled down to sub-daily intensities. The data were analysed using the Gumbel probability plotting position to develop IDF curves and equations for return periods between 1 to 500 years in conjunction with rainfall durations ranging from 0.25 to 24 hours. Performance evaluation tests assessed the suitability of developed IDF equations. The IDF equations demonstrated high accuracy since a determination coefficient (R2) of 0.97 was obtained. Understanding rainfall characteristics in these locations can inform water policy development and also enhance flood management for the support of water resource planning and governance.

Authors

Institutions

Publication Details

Journal
International Journal of Environmental Engineering
Published
2024-12-31
DOI
https://doi.org/10.1504/ijee.2025.143536
Primary Topic
Urban and Rural Development Challenges
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the intensity, duration and frequency of rainfall in selected Southern Nigeria's urban landscapes

Blessing Funmbi Sasanya, Sunday O. Adesogan, Georgina O. Ufuoma, Akeem Abiodun Ademola
International Journal of Environmental Engineering
Urban and Rural Development Challenges
article

Exploring the intensity, duration and frequency of rainfall in selected Southern Nigeria's urban landscapes

Blessing Funmbi Sasanya, Sunday O. Adesogan, Georgina O. Ufuoma, Akeem Abiodun Ademola
article en

Abstract

Southern Nigeria faces recurring challenges from high annual rainfall, thus resulting to frequent floods, gully erosion, damage to agriculture, water systems, and infrastructure. Studies that employed recent long span rainfall data with the use of precipitation duration curves in these areas are sparse. Forty years (1982 to 2021) maximum daily rainfall data for Akure, Calabar, Enugu, Ikeja, Owerri, and Yenegoa were scaled down to sub-daily intensities. The data were analysed using the Gumbel probability plotting position to develop IDF curves and equations for return periods between 1 to 500 years in conjunction with rainfall durations ranging from 0.25 to 24 hours. Performance evaluation tests assessed the suitability of developed IDF equations. The IDF equations demonstrated high accuracy since a determination coefficient (R2) of 0.97 was obtained. Understanding rainfall characteristics in these locations can inform water policy development and also enhance flood management for the support of water resource planning and governance.

International Journal of Environmental EngineeringVol. 13(1)
University of Port Harcourt (NG), University of Ibadan (NG), Delta State University (NG), Delta State Polytechnic Ogwashi-Uku (NG)
Sustainable cities and communities
Openalex Percentile: Top 57%
Urban and Rural Development Challenges
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Exploring the intensity, duration and frequency of rainfall in selected Southern Nigeria's urban landscapes — Blessing Funmbi Sasanya, Sunday O. Adesogan, et al. · International Journal of Environmental Engineering (2024) | TGRS Research Map | TGRS