Estimation of grain size statistical parameters and Porosity of the Quaternary aquifers in part of Bayelsa State Nigeria

Abstract: An attempt has been made in this study to estimate the grain sizes and statistical parameters of aquifer sediments, in parts of Bayelsa State, South-South Nigeria. Precise measurement of statistical parameters of sediments is a vital and significant factor for the comparative evaluation of sedimentary depositional environment. Particle size analysis is a vital tool for the determination of the cost, quality and performance of aggregates for several economic purposes, such as in the construction, hospitality, agricultural industrial and of course in ground water resource management. Particle size distribution parameters were determined through conventional sieve analysis, the graphical method for obtaining statistical parameters was mployed in this study. Sieve analysis is the process of measuring the particle size distribution of unbound sediments, it is a less costly and simple to access process. The resulting cumulative frequency distribution curves are continuous with only a single mode value, indicating that all the samples in the study are evidently homogeneous at their specific sites. The coefficient of uniformity (η) evaluated ranges from 2.81 to 5.6 for samples 1 and 3 respectively, while the porosity values estimated ranges from 0.34 (34%) to 0.43 (43%) for samples 2 and 4 respectively. The study indicated that the samples have average grain sizes ranging from 0.37 to 0.95 mm (average 0.60 mm), which were shown to be well graded. The inclusive graphic kurtosis of the sediment  grains ranges from 0.12 – 1.5 (average 0.59), occupying sediments that are very platykurtic (very deficiently peaked) being less than 0.67 to  mesokurtic and leptokurtic or excessively peaked (relatively better sorted in the central parts than in the tails).

Keywords: particle size, graded, sorted, platykurtic, mesokurtic, and kurtosis.

Title: Estimation of grain size statistical parameters and Porosity of the Quaternary aquifers in part of Bayelsa State Nigeria

Author: Amakiri, A. R. C., Risi, I., Okiongbo, K. S

International Journal of Novel Research in Civil Structural and Earth Sciences

ISSN 2394-7357

Vol. 10, Issue 2, May 2023 - August 2023

Page No: 14-23

Novelty Journals

Website: www.noveltyjournals.com

Published Date: 27-July-2023

DOI: https://doi.org/10.5281/zenodo.8189272

Paper Download Link (Source)

https://www.noveltyjournals.com/upload/paper/Estimation%20of%20grain%20size%20statistical-27072023-4.pdf