Liner-leachate interaction curve models for clayey soils from landfills around the City of Johannesburg

Emmanuel Emem Obong Agbenyeku, Edison Muzenda, Innocent Mandla Msibi

Research output: Contribution to conferencePaperpeer-review

Abstract

The study presented herein links to a regression analysis that ties into three mathematical models from the Brutsaert, Mualem and Burdine equations respectively. The paper describes a series of experimental
investigations on the characteristic permeation and interaction of three clayey soil types as barrier liners with landfill leachate from around the City of Johannesburg (CoJ), South Africa. From the outcomes therefrom, sequence of logarithmic relationships were projected towards proposing rational approximations of the best
curve-fitting bounds using the Grain Size Distribution (GSD) and Atterberg Limits (AL) of the respective soils as selected classification properties. The outcomes which generally revealed reasonable indicative values were
expressed using the weighted Plasticity Indices (PI) of the respective soils in conformance to Sitarenios et al. The two curve-fitting parameters x and z incorporated to simulate the Liner-Leachate Interaction Curve (LLIC) of the three clayey soils sampled from respective landfills around the CoJ, South Africa yielded 118, 0.6; 1211, 0.6; 1058, 0.6 in the Brutsaert model, 0.1, 1.2; 0.0, 1.5; 0.0, 1.5 in the Mualem model and 0.1, 2.4; 0.0, 2.6; 0.0, 2.7 in
the Burdine model for samples A, B and C respectively, with a general R2 value of 0.904
Original languageEnglish
Number of pages7
Publication statusPublished - 2017
Event2nd International Engineering Conference 2017 - Minna, Nigeria
Duration: Oct 17 2017Oct 19 2017

Conference

Conference2nd International Engineering Conference 2017
Abbreviated titleIEC 2017
Country/TerritoryNigeria
CityMinna
Period10/17/1710/19/17

Fingerprint

Dive into the research topics of 'Liner-leachate interaction curve models for clayey soils from landfills around the City of Johannesburg'. Together they form a unique fingerprint.

Cite this