Reference : A biological pluridisciplinary model to predict municipal landfill life
Scientific congresses and symposiums : Paper published in a book
Life sciences : Multidisciplinary, general & others
http://hdl.handle.net/2268/28376
A biological pluridisciplinary model to predict municipal landfill life
English
Steyer, E. [ > > ]
Hiligsmann, Serge mailto [Université de Liège - ULg > Département des sciences de la vie > Biochimie et microbiologie industrielles >]
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 >]
1999
Proceedings Sardinia 99, Seventh International Waste Management and Landfill Symposium
Christensen
Cossu
Stegmann
1:37-44
No
No
International
Sardinia 99, Seventh International Waste Management and Landfill Symposium
October
Eurowaste
Cagliary
Italy
[en] landfill ; model ; waste management
[en] The degradation processes occurring within landfills are the keys to assessment and control of their environmental impact. This degradation results from different microbial activities interacting all along the landfill lifetime and influenced by several non-biological factors. Approaching these complex biological and chemical processes requires a multidisciplinary pattern. 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, sulphate concentration in leachates and settlement measures allows to predict landfill age 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. The mathematical model has also been applied, with success, to the case of Anton Sclayn site.
Centre Wallon de Biologie Industrielle ; Département Argenco - ULg
Communauté française - Action de recherche concertée ; Région wallonne : Direction générale des Technologies, de la Recherche et de l'Energie - DGTRE
Confinement de centres d'enfouissement technique à l'aide de barrières argileuses (projet ARC)
Researchers ; Professionals ; Students ; General public
http://hdl.handle.net/2268/28376

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