Modelling soil properties from horizon depth functions and terrain attributes: An example with cation exchange capacity

Abstract

The objective of this study was to, through the distribution of some soil properties, model cation exchange capacity (CEC) in soils formed on gently undulating coastal plain sands of southeastern Nigeria using genetic horizon functions and terrain attributes. A total of 19 profile pits were prepared, described and 104 genetic horizons were identified and sampled, processed and analysed in the laboratory. Data were generated on the soil characteristics, including particle size fractions, hydraulic conductivity, bulk density, organic carbon, pH and electrical conductivity. Terrain attributes that were generated from digital elevation model include aspect, compound topographic index (CTI), Flow direction, curvatures, slope and stream power index (SPI). Data generated were analysed using descriptive statistics, correlation and regression. The terrain attributes were modified with genetic horizon depths, bulk density and clay content for the modelling process. Sand content, bulk density and cation exchange capacity possess geogenic rather than pedogenic characteristics and were normally distributed. The indication is that the two groups of terrain attributes depended on the mass per unit area of soil and clay content in their influence on these ultisol profiles. Paired comparison, root mean square error and normalized root mean square error indicated that the model was a good fit and could be useful in the prediction of soil properties and management of coastal plain sands.

Characterization and Study of Dominated Alluvial Soil Profile of Mirzapur in Indo-Gangetic Plain (IGPs) of India

“…The sands of the Kaimur group are of two to three-metre thick friable sandstone. The silica sand found in Chandauli district is fine to medium-grained, brown and buff in colour [21][22][23][24][25][26][27][28][29][30]. Most of the glass factories of northern India get their supply from this region.…”