Sediment Characterisation in an Estuary-Beach System
Temitope D Timothy Oyedotun*
Department of Geography and Planning Sciences, Adekunle Ajasin University, Ondo State, Nigeria
- *Corresponding Author:
- Temitope D Timothy Oyedotun
Department of Geography and Planning Sciences
Adekunle Ajasin University, P. M. B. 001
Akungba-Akoko, Ondo State, Nigeria
E-mail: [email protected]
Received date: August 05, 2016; Accepted date: August 19, 2016; Published date: August 26, 2016
Citation: Oyedotun TDT (2016) Sediment Characterisation in an Estuary - Beach System. J Coast Zone Manag 19:433. doi:10.4172/2473-3350.1000433
Copyright: © 2016 Oyedotun TDT. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Spatial sedimentological characteristics of surface and shallow intertidal sediments at an estuary-beach system (using the Hayle-St Ives system as a case study) is presented in this study. Short sediment cores obtained from 80 samples are sliced at 1cm intervals and the grain size analysis is undertaken on these subsamples, using a Malvern MasterSizer 2000. The resulting distributions are processed to yield a range of grain size statistics through the GRADISTAT software package. Grain size parameters are examined to explore the evidence for the system’s sediment mixing and extensive sediment transport processes. Sediment statistics at the coastlines/beaches (Carbis Bay, Black Cliff and Godrevy Towans) show that sediments are well sorted, near symmetrical/positively skewed medium-coarse sand while the inner estuary samples are predominantly medium sand, well sorted, symmetrical and only negatively skewed at 10-15 cm depth. A Principal Component Analysis, supported by a cluster analysis, shows that 82% of the variance in the grain size distribution is represented by fine-medium-coarse sand, and 14% is represented by the coarse/very coarse sand component. Comparison of grain-size statistics and cluster analysis reveals clear populations associated with specific sub-environments of the system. Importantly, this analysis shows that sediment characteristics can be discriminated clearly by sub-environments, but not on the basis of sub-surface shallow depth.