2008
DOI: 10.4314/jmg.v43i2.47912
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Statistical analysis of variability in properties of soils in gully erosion sites of Agulu-Nanka-Oko area, southeastern Nigeria

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Cited by 4 publications
(4 citation statements)
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“…The five sections from which samples were studied are labelled with closed circles. General environments for the Imo Formation from Obi (2000; fluvio-deltaic); the Imo Formation from Reyment (1965; shallow marine) and Anyanwu and Arua (1990; deltaic); and the Ameki Formation from White (1926; estuarine), Nwajide (1979) and Arua (1986; both lagoonal), and Adegoke (1969) and Fayose and Ola (1990; both shallow marine). The Palaeocene–Eocene boundary is placed between the Imo and Ameki formations following Nwajide (1990) and Oboh-Ikuenobe et al (2005) and shown as a dashed line to indicate uncertainty.…”
Section: Methodsmentioning
confidence: 99%
“…The five sections from which samples were studied are labelled with closed circles. General environments for the Imo Formation from Obi (2000; fluvio-deltaic); the Imo Formation from Reyment (1965; shallow marine) and Anyanwu and Arua (1990; deltaic); and the Ameki Formation from White (1926; estuarine), Nwajide (1979) and Arua (1986; both lagoonal), and Adegoke (1969) and Fayose and Ola (1990; both shallow marine). The Palaeocene–Eocene boundary is placed between the Imo and Ameki formations following Nwajide (1990) and Oboh-Ikuenobe et al (2005) and shown as a dashed line to indicate uncertainty.…”
Section: Methodsmentioning
confidence: 99%
“…The Nanka Formation is predominantly composed of loose and poorly consolidated fine-grained sand materials with low clay content and little or no coarse-grained aggregates (Igwe & Egbueri, 2018). It is noted as the loose sand facies of the Ameki Group (Nwajide, 1979(Nwajide, , 1980, outcrops over an area in excess of 1,400km exclusively east of the Niger and noted to be very susceptible to erosion. The Formation is made up of loose, tabular to planar cross bedded, flaserbedded, fine to medium grained sand, with a few mudrock breaks.…”
Section: The Setting Of the Study Areamentioning
confidence: 99%
“…This is especially applicable to regions with excessive gullying, given variability in potential size, shape, and occurrence (Knight et al 2007 Data extracted from remotely sensed imagery have been used to provide specific information for policy makers to enable reclamation of degraded areas like gullies and landslides (Nwilo, et al 2011 andOkereke, et al 2012). Recent advances in satellite technology, GIS, and digital image processing, have led to the development of new techniques for semi-automatic and/or automatic gully detection (Nweze 2011 andOsadebe andAkpokodje 2007).…”
Section: Assessmentmentioning
confidence: 99%