The Moisture Characteristics, Composition and Structural Analysis of a Red Clay Soil from Nyeri, Kenya

Coleman, J. D.; Farrar, D M; Marsh, A D

doi:10.1680/geot.1964.14.3.262

Cited by 19 publications

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“…However, significant positive correlations were found between PL and silt content, and significant negative correlations were obtained between LL, PL and SL and sand content (Table 3). When the relations between soil consistency limits and clay content are weak, the effect might be attributed to fractions coarser than the clay fraction or to the existence of aggregated clay-sized particles (Coleman et al, 1964;Campbell, 2001). However, Odell et al (1960), de Jong et al (1990 and Keller & Dexter (2012) found strong positive correlations between clay content and Atterberg limits.…”

Section: Descriptive Statistics and Correlation Analysis Resultsmentioning

confidence: 99%

ANN‐based pedotransfer and soil spatial prediction functions for predicting Atterberg consistency limits and indices from easily available properties at the watershed scale in western Iran

Zolfaghari

Mosaddeghi

Ayoubi

2015

Soil Use and Management

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Atterberg consistency limits (liquid limit, LL; plastic limit, PL; shrinkage limit, SL) and indices (plasticity index, PI; friability index, FI) are useful indicators of soil mechanical behaviour. This study was conducted to evaluate the use of soil and environmental data for predicting Atterberg limits or indices using artificial neural network (ANN) models at the watershed scale in western Iran. The LL, PL, SL, PI, FI, particle size distribution, organic matter (OM) and calcium carbonate equivalent (CCE) were measured in soil samples collected from 113 locations. Three sets of readily available properties were employed as inputs. The first of these data sets or models consisted of soil properties. The second included topographic attributes and normalized difference vegetation index (NDVI), and the third was a combination of soil, topographic attributes and NDVI. Developed ANN models could explain a majority of the variability (62–94%) in Atterberg limits and indices. Greatest and poorest performances were attributed to the third and first models, respectively. No significant efficacy difference was observed between the second and third models. Therefore, the second data set with its readily available environmental variables is suggested for use in predicting Atterberg limits and indices at the regional scale. Sensitivity analysis showed that NDVI, OM, clay content, CCE and topographic attributes (wetness index, elevation, plan curvature and slope) could explain much of the variance associated with Atterberg limits and indices at the watershed scale in western Iran.

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Section: Descriptive Statistics and Correlation Analysis Resultsmentioning

confidence: 99%

ANN‐based pedotransfer and soil spatial prediction functions for predicting Atterberg consistency limits and indices from easily available properties at the watershed scale in western Iran

Zolfaghari

Mosaddeghi

Ayoubi

2015

Soil Use and Management

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“…Coleman et al [42] reported maximum dry density for the Nyeri region in Kenya at around 1313.6 kg/m3, and the optimum moisture content was 36% which is correspondingly high. However, the value reported for red clay was low compared with average clay soils.…”

Section: Compaction Testmentioning

confidence: 99%

Investigation of the Impact of Tropical Red Clay Soils' Mineralogical Composition on their Physical and Mechanical Properties– a Case Study Ruaka – Kenya

Hassan¹,

Shitote²,

Thuo³

2022

TOCIEJ

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Introduction: Residual soils covering large areas of the earth have been chiefly discovered in the last 30 years in most volcanic tropical and subtropical countries. Understanding their behaviour is essential for various infrastructure developments. Methods: The physical and mechanical properties of the soils are affected by their mineralogical composition. There is a need to determine the mineralogical composition of the soils and investigate the impact on properties. This paper presents the results of a laboratory study conducted on red clay soil from Ruaka, a suburb in Kenya, to investigate the effect of mineral and chemical composition on the soil’s physical and mechanical properties. Disturbed and undisturbed samples were subjected to different tests such as Atterberg limits, soil classification, consolidation test, X-ray fluorescence, X-ray diffraction and petrology test based on the British Standard soil classification system (1377-1994). The soils were classified as clay with high plasticity, and high clay content varied between 59-79% resulting in mechanical instability of the soil in this site. Results: The mineral and chemical analysis indicated the formation of unique minerals like Halloysite, Quartz, Kaolinite, and Mica, which influenced the geotechnical properties of clay. The index properties of clay recorded high values; the moisture content and plastic limit varied between 37- 46% with a slight increase as depth increased; the liquid limit varied between 63-68% with increased depth. Conclusion: The average value of maximum dry density was reported as around 1247 kg/m3 with high optimum moisture content, reaching 35.5%. Besides that, the soil had a high void ratio of 1.145 to 1.63, which increased the permeability of the clay to 1.223E-5 cm/s. The properties of red clay soils in more than ten tropical regions in Kenya compared with the soil under study are also presented in this paper.

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The clay minerals

Scott

1994

An Introduction to Soil Mechanics and Foundations

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The Moisture Characteristics, Composition and Structural Analysis of a Red Clay Soil from Nyeri, Kenya

Cited by 19 publications

References 0 publications

ANN‐based pedotransfer and soil spatial prediction functions for predicting Atterberg consistency limits and indices from easily available properties at the watershed scale in western Iran

ANN‐based pedotransfer and soil spatial prediction functions for predicting Atterberg consistency limits and indices from easily available properties at the watershed scale in western Iran

Investigation of the Impact of Tropical Red Clay Soils' Mineralogical Composition on their Physical and Mechanical Properties– a Case Study Ruaka – Kenya

The clay minerals

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