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Removal of COD from Landfill Leachate by Predication and Evaluation of Multiple Linear Regression (MLR) Model and Fenton process

Article

Last updated: 01 Jan 2025

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Subjects

-

Tags

Environmental chemistry

Abstract

Municipal Solid Waste (MSW) landfill leachate contains highly concentrated organic substances which are hazardous to the environment. Therefore, it must be treated before discharged into water bodies and suitable techniques are essential for effective treatment. In this regard, multiple linear regression (MLR) model has shown to be a favorable technique for optimization of landfill leachate treatment. In this study, four operational variables, H2O2:Fe2+ ratio, pH, reaction time, and Fe2+ concentration, were assessed using the model. The chemical oxygen demand (COD) removal was 96.43% by experiment, while the predicted assessment was 100% under the optimized settings; time = 33.87 min, concentration of Fe2+ = 749.64 mg/L, pH = 3, and ratio of H2O2:Fe2+ = 2 during Fenton treatment. The high value of the coefficient of determination, R2 = 0.896, designates a resilient relationship between the experimental and model values. The residual study (residual plot) specified that the points were randomly distributed, confirming the appropriateness of the model. The MLR model established may possibly be used for assessment of other landfill leachate treatment.

DOI

10.21608/ejchem.2018.6429.1543

Keywords

Leachate, Fenton, Multiple Linear Regression (MLR), Chemical oxygen demand (COD)

Authors

First Name

Anita

Last Name

Roudi

MiddleName

-

Affiliation

Department of Environmental Engineering, Faculty of Civil Engineering, Universiti Teknologi Malaysia, 81310, Johor Bahru, Malaysia

Email

mahtab_7856@yahoo.com

City

-

Orcid

0000-0003-1375-4920

First Name

Shreeshivadasan

Last Name

Chelliapan

MiddleName

-

Affiliation

Engineering department, Razak faculty of technology and Informatics ,Universiti Teknologi Malaysia Jalan sultan Yahya Petra 56100 Kuala Lumpur

Email

shreeshivadasan.kl@utm.my

City

Kuala Lumpur

Orcid

0000-0002-3580-3351

First Name

Hesam

Last Name

Kamyab

MiddleName

-

Affiliation

Engineering department, Razak faculty of technology and Informatics ,Universiti Teknologi Malaysia Jalan sultan Yahya Petra 56100 Kuala Lumpur

Email

hesam_kamyab@yahoo.com

City

Kuala Lumpur

Orcid

0000-0002-5272-2297

First Name

Mohd Fadhil

Last Name

Md Din

MiddleName

-

Affiliation

Center of Environmental Sustainability and Water Security (IPASA), Research Institute of Sustainable Environment (RISE), Universiti Teknologi Malaysia, 81310, Johor Bahru

Email

mfadhil@utm.my

City

Johor Bahru

Orcid

0000-0002-4369-5004

First Name

Santhana

Last Name

Krishnan

MiddleName

-

Affiliation

Center of Environmental Sustainability and Water Security (IPASA), Research Institute of Sustainable Environment (RISE), Universiti Teknologi Malaysia, 81310, Johor Bahru

Email

santy.biologics@gmail.com

City

Johor Bahru

Orcid

-

Volume

62

Article Issue

7

Related Issue

6215

Issue Date

2019-07-01

Receive Date

2018-11-29

Publish Date

2019-07-01

Page Start

1,207

Page End

1,218

Print ISSN

0449-2285

Online ISSN

2357-0245

Article File

EJCHEM_Volume 62_Issue 7_Pages 1207-1218.pdf

PDF . 1.3MB

Link

https://ejchem.journals.ekb.eg/article_25261.html

Detail API

https://ejchem.journals.ekb.eg/service?article_code=25261

Order

4

Type

Original Article

Type Code

297

Publication Type

Journal

Publication Title

Egyptian Journal of Chemistry

Publication Link

https://ejchem.journals.ekb.eg/

MainTitle

Removal of COD from Landfill Leachate by Predication and Evaluation of Multiple Linear Regression (MLR) Model and Fenton process

Details

Type

Article

Created At

22 Jan 2023