Probabilistic Characterization of Nigerian Falls

by Samuel Uche Ejezie, Carnegie-Mellon Univ, Dep of Civil, Engineering, Pittsburgh, PA, USA,
Kingsley Harrop-Williams, Carnegie-Mellon Univ, Dep of Civil, Engineering, Pittsburgh, PA, USA,



Document Type: Proceeding Paper

Part of: Probabilistic Characterization of Soil Properties: Bridge Between Theory and Practice

Abstract: A probabilistic method of subsurface characterization is developed for sites in Southern Nigeria. This method is based on the use of statistics to analyze real field data and determine models for predicting data trends in similar environments. The method is used to confirm the validity of an existing classification scheme for the soils in the area. This scheme recognizes four major soil groups in addition to some specific or local soil types found in different locations. The models developed incorporate all factors contributing to soil property variations and can thus be used with confidence in all engineering designs and analyses.

Subject Headings: Soil classification | Probability | Soil analysis | Data processing | Data analysis | Light rail transit | Subsurface environment | Nigeria | Africa

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