Hydro-geometrical data analyses of River Atuwara at Ado-Odo/Otta, Ogun State

The dataset analyzed in this article contains spatial and temporal values of the hydro-geometric parameters of River Atuwara. The hydro-geometrical data analyses of various sampling point on River Atuwara was examined and their geometric properties were taken with the use of a paddled boat, depth me...

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Main Authors: Adebanji S. Ogbiye, Olumuyiwa O. Onakunle, David O. Omole
Format: Article
Language:English
Published: Elsevier 2018-06-01
Series:Data in Brief
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340918304244
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spelling doaj-a245ed28ab784fee8299187dd2b01bff2020-11-25T01:33:50ZengElsevierData in Brief2352-34092018-06-011817951801Hydro-geometrical data analyses of River Atuwara at Ado-Odo/Otta, Ogun StateAdebanji S. Ogbiye0Olumuyiwa O. Onakunle1David O. Omole2Department of Civil Engineering, Covenant University, Ota, Ogun State, NigeriaDepartment of Civil Engineering, Covenant University, Ota, Ogun State, Nigeria; Department of Civil and Environmental Engineering, University of Lagos, Akoka, Yaba, Lagos, Nigeria; Corresponding author at: Department of Civil Engineering, Covenant University, Ota, Ogun State, Nigeria.Department of Civil Engineering, Covenant University, Ota, Ogun State, NigeriaThe dataset analyzed in this article contains spatial and temporal values of the hydro-geometric parameters of River Atuwara. The hydro-geometrical data analyses of various sampling point on River Atuwara was examined and their geometric properties were taken with the use of a paddled boat, depth meter and global positioning system (GPS). The co-ordinates, width, depth, slopes, area, velocity, flow were gotten in-situ while the area and wetted perimeter were computed ex-situ. The statistical relationships between separate variables were considered using scatter plots and regression line equations. Inferences drawn from various variable comparisons can be used to validate predictive models for various time seasons. Keywords: Atuwara River, Hydro-geometry, Water transport, Regression analysis, Particle transport modellinghttp://www.sciencedirect.com/science/article/pii/S2352340918304244
collection DOAJ
language English
format Article
sources DOAJ
author Adebanji S. Ogbiye
Olumuyiwa O. Onakunle
David O. Omole
spellingShingle Adebanji S. Ogbiye
Olumuyiwa O. Onakunle
David O. Omole
Hydro-geometrical data analyses of River Atuwara at Ado-Odo/Otta, Ogun State
Data in Brief
author_facet Adebanji S. Ogbiye
Olumuyiwa O. Onakunle
David O. Omole
author_sort Adebanji S. Ogbiye
title Hydro-geometrical data analyses of River Atuwara at Ado-Odo/Otta, Ogun State
title_short Hydro-geometrical data analyses of River Atuwara at Ado-Odo/Otta, Ogun State
title_full Hydro-geometrical data analyses of River Atuwara at Ado-Odo/Otta, Ogun State
title_fullStr Hydro-geometrical data analyses of River Atuwara at Ado-Odo/Otta, Ogun State
title_full_unstemmed Hydro-geometrical data analyses of River Atuwara at Ado-Odo/Otta, Ogun State
title_sort hydro-geometrical data analyses of river atuwara at ado-odo/otta, ogun state
publisher Elsevier
series Data in Brief
issn 2352-3409
publishDate 2018-06-01
description The dataset analyzed in this article contains spatial and temporal values of the hydro-geometric parameters of River Atuwara. The hydro-geometrical data analyses of various sampling point on River Atuwara was examined and their geometric properties were taken with the use of a paddled boat, depth meter and global positioning system (GPS). The co-ordinates, width, depth, slopes, area, velocity, flow were gotten in-situ while the area and wetted perimeter were computed ex-situ. The statistical relationships between separate variables were considered using scatter plots and regression line equations. Inferences drawn from various variable comparisons can be used to validate predictive models for various time seasons. Keywords: Atuwara River, Hydro-geometry, Water transport, Regression analysis, Particle transport modelling
url http://www.sciencedirect.com/science/article/pii/S2352340918304244
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