Reference : A pluridisciplinary model to predict municipal landfill life
Scientific congresses and symposiums : Unpublished conference
Life sciences : Multidisciplinary, general & others
http://hdl.handle.net/2268/12813
A pluridisciplinary model to predict municipal landfill life
English
Hiligsmann, Serge mailto [Université de Liège - ULg > Département des sciences de la vie > Biochimie et microbiologie industrielles >]
Rodriguez, C. [ > > ]
Lardinois, M. [ > > ]
Radu, Jean-Pol mailto [Université de Liège - ULg > Département Argenco : Secteur GEO3 > Géomécanique et géologie de l'ingénieur >]
Charlier, Robert mailto [Université de Liège - ULg > Département Argenco : Secteur GEO3 > Géomécanique et géologie de l'ingénieur >]
Destain, Jacqueline mailto [Université de Liège - ULg > Gembloux Agro-Bio Tech > Gembloux Agro-Bio Tech >]
Drion, R. [ > > ]
Thonart, Philippe mailto [Université de Liège - ULg > Gembloux Agro-Bio Tech > Gembloux Agro-Bio Tech - Biochimie et microbiologie industrielles >]
2001
No
No
International
The modelling of landfill processes Symposium
23-24 avril
Delft
Netherlands
[en] landfill ; model ; biological activity ; waste management
[en] Most degradation processes that occur within municipal wastes landfills result from different microbial activities interacting all along the landfill lifetime and that are influenced by several non-biological factors. These complex biological and chemical processes require a multidisciplinary pattern in order to assess and control their environmental impact. Thanks to Walloon Region support, we have developed a pattern or model combining the evolution of different key parameters. Such parameters qualify biogas (composition, production rate), leachate (pH, BOD5, COD, volatile fatty acids, redox potential, nitrogen balance, humic acids...), or solid waste (moisture, settlement, cellulose content...). This paper presents relationships, including our model, between these parameters. Variations of pH, BOD5/COD ratio, sulfate concentration in leachates, gas composition analysis and settlement measures allow to predict landfill age, on a standard scale, since completion. Evaluation of cellulose and water content in refuse as well as settlement degree are useful to estimate the time required for complete biological degradation.
Centre Wallon de Biologie Industrielle
Région wallonne : Direction générale des Relations extérieures - DGRE
Researchers ; Professionals ; Students ; General public
http://hdl.handle.net/2268/12813

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