Grain Size Analysis of Beach Sand around Eastern Dahomey Basin, Southwestern Nigeria: Implications for Coastal Flooding and Erosion

Erosion vulnerability in Coastal areas around the eastern Dahomey Basin, southwestern section of Nigeria, has constituted momentous threats to the resident communities in this area, thereby resulting in colossal destruction to their infrastructure hence to address the courses and proper remedies to it. The study aimed to examine the grain size constraints of beach sand within the eastern Dahomey Basin. A total of 50 beach sand sediments were obtained from several locations and probed using laser diffraction techniques. Results show a dominant medium-grained sand of 96.0 per cent and 4.5 per cent coarse grained sand, while the fine-grained sand is 0.5 per cent, respectively. Statistical analysis results for grain size distribution revealed the average mean size to be medium-grained (1.63, Mz), sorting to be moderately well sorted (0.717, M. w. st), kurtoses to be symmetrical (0.06864, Syt) and skewness to be mesokurtic (1.44288 Msk) respectively. These also indicate polymodal distributions, otherwise mixed sediment sources. Further probe into this reveals major correlations between grain size parameters and coastal erosion susceptibility. Findings suggest that areas with loose, medium grain sizes and moderately well sorted are more susceptible to coastal flooding than erosion episodes.

Authors

Publication Details

Journal
International Journal of Recent Engineering Science
Published
2024-12-30
DOI
https://doi.org/10.14445/23497157/ijres-v11i6p123
Citations
1
Primary Topic
Coastal and Marine Dynamics
Type
article
Field-Weighted Citation Impact
0.52
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Grain Size Analysis of Beach Sand around Eastern Dahomey Basin, Southwestern Nigeria: Implications for Coastal Flooding and Erosion

Fatemi S.M.R., R. A., Adewumi O.A.
1 citations
International Journal of Recent Engineering Science
Coastal and Marine Dynamics
0.52
article

Grain Size Analysis of Beach Sand around Eastern Dahomey Basin, Southwestern Nigeria: Implications for Coastal Flooding and Erosion

Fatemi S.M.R., R. A., Adewumi O.A.
article en
1 citations

Abstract

Erosion vulnerability in Coastal areas around the eastern Dahomey Basin, southwestern section of Nigeria, has constituted momentous threats to the resident communities in this area, thereby resulting in colossal destruction to their infrastructure hence to address the courses and proper remedies to it. The study aimed to examine the grain size constraints of beach sand within the eastern Dahomey Basin. A total of 50 beach sand sediments were obtained from several locations and probed using laser diffraction techniques. Results show a dominant medium-grained sand of 96.0 per cent and 4.5 per cent coarse grained sand, while the fine-grained sand is 0.5 per cent, respectively. Statistical analysis results for grain size distribution revealed the average mean size to be medium-grained (1.63, Mz), sorting to be moderately well sorted (0.717, M. w. st), kurtoses to be symmetrical (0.06864, Syt) and skewness to be mesokurtic (1.44288 Msk) respectively. These also indicate polymodal distributions, otherwise mixed sediment sources. Further probe into this reveals major correlations between grain size parameters and coastal erosion susceptibility. Findings suggest that areas with loose, medium grain sizes and moderately well sorted are more susceptible to coastal flooding than erosion episodes.

International Journal of Recent Engineering ScienceVol. 11(6)
Life below water
Openalex Percentile: Top 31%
Coastal and Marine Dynamics
0.52
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.