Staff View: Proposed formulations for error reduction in leachate pollution index (LPI) estimation due to the absence of leachate parameters

Proposed formulations for error reduction in leachate pollution index (LPI) estimation due to the absence of leachate parameters

The applications of leachate pollution index (LPI) as an environmental index to express the overall leachate-contaminating ability of landfills are increasing. Majority of these applications wrongly quantify LPI due to the absence of various leachate parameters. The traditional linear weighted aggre...

Full description

Saved in:

Bibliographic Details
Main Authors:	Abunama, Taher, Othman, Faridah, Seyam, Mohammed, Moodley, Tyrone, Kumari, Sheena, Bux, Faizal
Format:	Article
Published:	Elsevier 2021
Subjects:	QR Microbiology T Technology (General) TA Engineering (General). Civil engineering (General)
Online Access:	http://eprints.um.edu.my/28386/
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my.um.eprints.28386
record_format	eprints
spelling	my.um.eprints.283862022-08-08T06:36:15Z http://eprints.um.edu.my/28386/ Proposed formulations for error reduction in leachate pollution index (LPI) estimation due to the absence of leachate parameters Abunama, Taher Othman, Faridah Seyam, Mohammed Moodley, Tyrone Kumari, Sheena Bux, Faizal QR Microbiology T Technology (General) TA Engineering (General). Civil engineering (General) The applications of leachate pollution index (LPI) as an environmental index to express the overall leachate-contaminating ability of landfills are increasing. Majority of these applications wrongly quantify LPI due to the absence of various leachate parameters. The traditional linear weighted aggregation equation used in LPI estimations, result in larger errors as missing parameters increase. In this article, error reduction equations were established to predict LPI values more accurately. Approximately 1797 unique combinations of leachate weights (Sigma wi) were randomly assigned to cover the missing parameters and augment the accuracy of the proposed error reduction equations. The upper and lower boundaries of LPI were accurately estimated in each case, starting from 1 missing parameter to 12 missing parameters. Various linear equations were generated, when possible, to ease the calculations. Subsequently, the arithmetic, geometric, and harmonic averages were applied between the LPI limits in five different case studies to demonstrate the validity of the developed error reduction equations. These equations were capable of providing reliable LPI values even when up to twelve leachate pollutants were absent. It was found that the harmonic average was the best average to be applied between the LPI boundaries, which mostly resulted in errors around +/- 20% for Sigma wi values up to 0.3. (C) 2021 Elsevier B.V. All rights reserved. Elsevier 2021-08 Article PeerReviewed Abunama, Taher and Othman, Faridah and Seyam, Mohammed and Moodley, Tyrone and Kumari, Sheena and Bux, Faizal (2021) Proposed formulations for error reduction in leachate pollution index (LPI) estimation due to the absence of leachate parameters. Environmental Technology & Innovation, 23. ISSN 2352-1864, DOI https://doi.org/10.1016/j.eti.2021.101623 <https://doi.org/10.1016/j.eti.2021.101623>. 10.1016/j.eti.2021.101623
institution	Universiti Malaya
building	UM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaya
content_source	UM Research Repository
url_provider	http://eprints.um.edu.my/
topic	QR Microbiology T Technology (General) TA Engineering (General). Civil engineering (General)
spellingShingle	QR Microbiology T Technology (General) TA Engineering (General). Civil engineering (General) Abunama, Taher Othman, Faridah Seyam, Mohammed Moodley, Tyrone Kumari, Sheena Bux, Faizal Proposed formulations for error reduction in leachate pollution index (LPI) estimation due to the absence of leachate parameters
description	The applications of leachate pollution index (LPI) as an environmental index to express the overall leachate-contaminating ability of landfills are increasing. Majority of these applications wrongly quantify LPI due to the absence of various leachate parameters. The traditional linear weighted aggregation equation used in LPI estimations, result in larger errors as missing parameters increase. In this article, error reduction equations were established to predict LPI values more accurately. Approximately 1797 unique combinations of leachate weights (Sigma wi) were randomly assigned to cover the missing parameters and augment the accuracy of the proposed error reduction equations. The upper and lower boundaries of LPI were accurately estimated in each case, starting from 1 missing parameter to 12 missing parameters. Various linear equations were generated, when possible, to ease the calculations. Subsequently, the arithmetic, geometric, and harmonic averages were applied between the LPI limits in five different case studies to demonstrate the validity of the developed error reduction equations. These equations were capable of providing reliable LPI values even when up to twelve leachate pollutants were absent. It was found that the harmonic average was the best average to be applied between the LPI boundaries, which mostly resulted in errors around +/- 20% for Sigma wi values up to 0.3. (C) 2021 Elsevier B.V. All rights reserved.
format	Article
author	Abunama, Taher Othman, Faridah Seyam, Mohammed Moodley, Tyrone Kumari, Sheena Bux, Faizal
author_facet	Abunama, Taher Othman, Faridah Seyam, Mohammed Moodley, Tyrone Kumari, Sheena Bux, Faizal
author_sort	Abunama, Taher
title	Proposed formulations for error reduction in leachate pollution index (LPI) estimation due to the absence of leachate parameters
title_short	Proposed formulations for error reduction in leachate pollution index (LPI) estimation due to the absence of leachate parameters
title_full	Proposed formulations for error reduction in leachate pollution index (LPI) estimation due to the absence of leachate parameters
title_fullStr	Proposed formulations for error reduction in leachate pollution index (LPI) estimation due to the absence of leachate parameters
title_full_unstemmed	Proposed formulations for error reduction in leachate pollution index (LPI) estimation due to the absence of leachate parameters
title_sort	proposed formulations for error reduction in leachate pollution index (lpi) estimation due to the absence of leachate parameters
publisher	Elsevier
publishDate	2021
url	http://eprints.um.edu.my/28386/
_version_	1740826008101060608
score	13.211869

Proposed formulations for error reduction in leachate pollution index (LPI) estimation due to the absence of leachate parameters

Similar Items