Study of Arsenic Sorption from Soil Using Some Selected Microorganisms and Non-Linear Error-Functions Method of Analysis
Domain:
environment and energyCreator:
EguEhi
Publisher:
Afr
Host:
This is a Non-linear approach to kinetic evaluation of arsenic sorption from soil using Microorganisms. Minimization of error functions: average relative error, root-mean-square error, normalized standard deviation and standard error of experiment was applied to compensate for linearizing the non-linear models applied in fitting the laboratory data. The laboratory data was obtained from the study of As removal with cultured indigenous Klebsiella pneumoniae (K. pneumoniae) and Arthrobacter nicotiniae (A. nicotiniae) used for treating As contaminated soil from Amaonye forest, Ebonye state in Nigeria. Analysis revealed that Asernic removal by the organisms was reaction controlled owing to the fact that the removal was dominated by chemical process deduced from pseudo-first-order as highlighted by the minimum ARE value of -2.0324 for K. pneumoniae action and -1.9868 for the action of A. nicotiniae.
Similar
Modeling of COVID-19 cases of selected states in Nigeria using linear and non-linear prediction modelsBiodegradation of Selected Petroleum Hydrocarbons Using Indigenous MicroorganismsEvaluation of pedotransfer functions to estimate some of soil hydraulic characteristics in North Africa: A case study from MoroccoDetermination of bioavailable arsenic threshold and validation of modeled permissible total arsenic in paddy soil using machine learningLinear vs non-linear learning methods A comparative study for forest above ground biomass, estimation from texture analysis of satellite imagesUrban Flooding Vulnerability Analysis Using Weighted Linear Method With Geospatial Information System