A statistical approach to assess the efficiency of bioremediation methods
type: CreativeWork
description: There are a number of Superfund sites in which biotreatability studies are used to assess whether an addition of some surfactants have a positive effect on the rates of biodegradation of PAH concentrations when compared to a control. U.S. EPA, in many situations, will require a minimum of 40% reduction over the control before approving the bioremediation method. Typically, samples of PAH concentrations are collected from an experiment involving the bio-treatment and the control conditions. The percent reduction is calculated by the formula: {dollar}\rm{\=x\sb1-\=x\sb2\over x\sb1}\times100\%.{dollar}; If the above percent reduction exceeds 40%, then the biotreatment is considered to be effective. This approach clearly ignores the inherent sampling variability. In this study, I will consider two approaches to the above problem: (1) Confidence Interval Estimation of the percent Reduction; (2) A Hypothesis Testing Formulation of the above problem. Simulation will be used to provide examples.
abstract: There are a number of Superfund sites in which biotreatability studies are used to assess whether an addition of some surfactants have a positive effect on the rates of biodegradation of PAH concentrations when compared to a control. U.S. EPA, in many situations, will require a minimum of 40% reduction over the control before approving the bioremediation method. Typically, samples of PAH concentrations are collected from an experiment involving the bio-treatment and the control conditions. The percent reduction is calculated by the formula: {dollar}\rm{\=x\sb1-\=x\sb2\over x\sb1}\times100\%.{dollar}; If the above percent reduction exceeds 40%, then the biotreatment is considered to be effective. This approach clearly ignores the inherent sampling variability. In this study, I will consider two approaches to the above problem: (1) Confidence Interval Estimation of the percent Reduction; (2) A Hypothesis Testing Formulation of the above problem. Simulation will be used to provide examples.
author: Glickman, Cynthia Lynn
language: English
date published: 1996-01-01T08:00:00Z
date modified: 2026-07-24T05:24:37Z
provider: University of Nevada - Las Vegas
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: University of Nevada, Las Vegas

PropertyValue
property ID: DOI
value: 10.25669/z3cy-qwwn