A regression model upon treatment of amd using pervious concrete

L. Mafanya, D. V.V. Kallon

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Regression modelling is used to establish the qualities of pervious concrete that treats AMD. In order to investigate the relationship between dependent and independent variables, regression modelling technique was used. This technique is used to analyze several variables. Regression analysis helps to understand the effect of each independent variable on the dependent variable. In this research regression modelling is done to establish the properties of pervious concrete that treats AMD and to understand the relationship between the AMD treatment variables. Familiar methods of regression analysis such as linear regression is used in this research. The AMD quality is modelled as the dependent variable and all other variables are independent variables. It was found that the thickness and the aggregate size of the pervious concrete slab does effect the metal concentration and PH of AMD as it passes through the pervious concrete.

Original languageEnglish
Title of host publicationProceedings of the 2nd African International Conference on Industrial Engineering and Operations Management, 2020
PublisherIEOM Society
Pages1769-1774
Number of pages6
ISBN (Print)9781792361234
Publication statusPublished - 2020
Event2nd African International Conference on Industrial Engineering and Operations Management, IEOM 2020 - Harare, Zimbabwe
Duration: 7 Dec 202010 Dec 2020

Publication series

NameProceedings of the International Conference on Industrial Engineering and Operations Management
Volume59
ISSN (Electronic)2169-8767

Conference

Conference2nd African International Conference on Industrial Engineering and Operations Management, IEOM 2020
Country/TerritoryZimbabwe
CityHarare
Period7/12/2010/12/20

Keywords

  • Computer model
  • Metal concentration
  • Mining
  • Parameter
  • Regression model

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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