The University of Southampton
University of Southampton Institutional Repository

Parametric sensitivity analysis of leachate transport simulations at landfills

Parametric sensitivity analysis of leachate transport simulations at landfills
Parametric sensitivity analysis of leachate transport simulations at landfills
This paper presents a case study in simulating leachate generation and transport at a 2000 ton/day landfill facility and assesses leachate migration away from the landfill in order to control associated environmental impacts, particularly on groundwater wells down gradient of the site. The site offers unique characteristics in that it is a former quarry converted to a landfill and is planned to have refuse depths that could reach 100 m, making it one of the deepest in the world. Leachate quantity and potential percolation into the subsurface are estimated using the Hydrologic Evaluation of Landfill Performance (HELP) model. A three-dimensional subsurface model (PORFLOW) was adopted to simulate ground water flow and contaminant transport away from the site. A comprehensive sensitivity analysis to leachate transport control parameters was also conducted. Sensitivity analysis suggests that changes in partition coefficient, source strength, aquifer hydraulic conductivity, and dispersivity have the most significant impact on model output indicating that these parameters should be carefully selected when similar modeling studies are performed.
0956-053X
681-689
Bou-Zeid, E.
94c837bf-0a94-446d-8ea4-c0c47013a7b0
El-Fadel, M.
5a565dad-695d-4dd3-a3a6-f02389b82dc4
Bou-Zeid, E.
94c837bf-0a94-446d-8ea4-c0c47013a7b0
El-Fadel, M.
5a565dad-695d-4dd3-a3a6-f02389b82dc4

Bou-Zeid, E. and El-Fadel, M. (2004) Parametric sensitivity analysis of leachate transport simulations at landfills. Waste Management, 24 (7), 681-689. (doi:10.1016/j.wasman.2004.03.004).

Record type: Article

Abstract

This paper presents a case study in simulating leachate generation and transport at a 2000 ton/day landfill facility and assesses leachate migration away from the landfill in order to control associated environmental impacts, particularly on groundwater wells down gradient of the site. The site offers unique characteristics in that it is a former quarry converted to a landfill and is planned to have refuse depths that could reach 100 m, making it one of the deepest in the world. Leachate quantity and potential percolation into the subsurface are estimated using the Hydrologic Evaluation of Landfill Performance (HELP) model. A three-dimensional subsurface model (PORFLOW) was adopted to simulate ground water flow and contaminant transport away from the site. A comprehensive sensitivity analysis to leachate transport control parameters was also conducted. Sensitivity analysis suggests that changes in partition coefficient, source strength, aquifer hydraulic conductivity, and dispersivity have the most significant impact on model output indicating that these parameters should be carefully selected when similar modeling studies are performed.

Text
Parametric_sens_leachate_-_waste_management.pdf - Version of Record
Restricted to Repository staff only

More information

Published date: July 2004

Identifiers

Local EPrints ID: 48137
URI: http://eprints.soton.ac.uk/id/eprint/48137
ISSN: 0956-053X
PURE UUID: ac0f9421-2401-453b-af0e-8c3ec421744d

Catalogue record

Date deposited: 30 Aug 2007
Last modified: 15 Mar 2024 09:43

Export record

Altmetrics

Contributors

Author: E. Bou-Zeid
Author: M. El-Fadel

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×