The University of Southampton
University of Southampton Institutional Repository

Developments to a landfill processes model following its application to two landfill modelling challenges

Developments to a landfill processes model following its application to two landfill modelling challenges
Developments to a landfill processes model following its application to two landfill modelling challenges
The landfill model LDAT simulates the transport and bio-chemical behaviour of the solid, liquid and gas phases of waste contained in a landfill. LDAT was applied to the LMC1 and LMC2 landfill modelling challenges held in 2009 and 2011. These were blind modelling challenges with the model acting in a predictive mode based on limited early time sections of full datasets. The LMC1 challenge dataset was from a 0.34 m deep 0.48 m diameter laboratory test cell, and the LMC2 dataset was from a 55 m 80 m 8 m deep landfill test cell which formed part of the Dutch sustainable landfill research programme at Landgraaf in the Netherlands. The paper describes developments in LDAT arising directly from the experience of responding to the two challenges, and discusses the model input and output data obtained from a calibration using the full datasets.

The developments include the modularisation of the model into a set of linked sub-models, the strategy for converting conventional waste characteristics into model input parameters, the identification of flexible degradation pathways to control the CO2:CH4 ratio, and the application of a chemical equilibrium model that includes a stage in which the solid waste components dissolve into the leachate.
0956-053X
1969-1981
White, J.K.
58e029ac-c8fd-49fc-83b3-6f55f9312434
Beaven, R.P.
5893d749-f03c-4c55-b9c9-e90f00a32b57
White, J.K.
58e029ac-c8fd-49fc-83b3-6f55f9312434
Beaven, R.P.
5893d749-f03c-4c55-b9c9-e90f00a32b57

White, J.K. and Beaven, R.P. (2013) Developments to a landfill processes model following its application to two landfill modelling challenges. Waste Management, 33 (10), 1969-1981. (doi:10.1016/j.wasman.2012.12.006).

Record type: Article

Abstract

The landfill model LDAT simulates the transport and bio-chemical behaviour of the solid, liquid and gas phases of waste contained in a landfill. LDAT was applied to the LMC1 and LMC2 landfill modelling challenges held in 2009 and 2011. These were blind modelling challenges with the model acting in a predictive mode based on limited early time sections of full datasets. The LMC1 challenge dataset was from a 0.34 m deep 0.48 m diameter laboratory test cell, and the LMC2 dataset was from a 55 m 80 m 8 m deep landfill test cell which formed part of the Dutch sustainable landfill research programme at Landgraaf in the Netherlands. The paper describes developments in LDAT arising directly from the experience of responding to the two challenges, and discusses the model input and output data obtained from a calibration using the full datasets.

The developments include the modularisation of the model into a set of linked sub-models, the strategy for converting conventional waste characteristics into model input parameters, the identification of flexible degradation pathways to control the CO2:CH4 ratio, and the application of a chemical equilibrium model that includes a stage in which the solid waste components dissolve into the leachate.

Text
White and Beaven 2013 Development of landfill model following application to 2 modelling challenges.pdf - Version of Record
Restricted to Repository staff only
Request a copy

More information

Published date: 2013
Organisations: Infrastructure Group

Identifiers

Local EPrints ID: 346953
URI: https://eprints.soton.ac.uk/id/eprint/346953
ISSN: 0956-053X
PURE UUID: e92e7401-c576-4240-9fe7-11692e25671b
ORCID for R.P. Beaven: ORCID iD orcid.org/0000-0002-1387-8299

Catalogue record

Date deposited: 21 Jan 2013 13:05
Last modified: 19 Jul 2019 01:12

Export record

Altmetrics

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 https://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.

×