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1.
Bioresour Technol ; 102(3): 2280-8, 2011 Feb.
Article in English | MEDLINE | ID: mdl-21055927

ABSTRACT

Methane can be produced by anaerobic digestion. The Biochemical Methane Potential (BMP) test is widely applied to determine the anaerobic biodegradability of wastes. It is based on a fermentation process, which is time consuming, about 30 days. This study investigates the use of near infrared spectroscopy to predict the Biochemical Methane Potential value of municipal solid waste. Near infrared spectroscopy has the advantage to be very fast and applicable to solid waste with a light sample preparation. Satisfying results were obtained: R(2)=0.76; Standard Error of Prediction=28 ml CH(4) g(-1) VS, that compare very favourably with reported results for other more expensive and more time-consuming methods. To our knowledge, it is the first time near infrared spectroscopy is used to predict the Biochemical Methane Potential value. Using near infrared spectroscopy for waste management would thus lead to a real benefit from an industrial point of view.


Subject(s)
Algorithms , Methane/analysis , Refuse Disposal/methods , Sewage/chemistry , Spectroscopy, Near-Infrared/methods
2.
Environ Technol ; 27(4): 411-29, 2006 Apr.
Article in English | MEDLINE | ID: mdl-16583826

ABSTRACT

This article presents a new methodology for the management of dredging operations. Partly derived from existing methodologies (OECD, UNEP, AIPCN), its aim is to be more complete, by integrating the qualities and complementarities of former methodologies. Moreover, it was carried out in a context of sustainable development. Indeed, it supports, according to a framework of industrial ecology, the development and the implementation of solutions of waste improvement of dredged materials, in order to minimize the environmental impact of dredging. It also uses a tool of MultiCriteria Decision-Making Aid (M.C.D.M.A.), in order to integrate local characteristics. In addition, this tool, called DRAGSED, allows to a dialogue to be established between all the parties concerned with a dredging project (harbour's authorities, industrialists, municipalities, administrations, populations, associations,...). Thus, the implementation of this methodology enables consensus to be reached for the dredging solution retained. It also proposes an environmental follow-up, which will allow an evaluation during its application.


Subject(s)
Environmental Monitoring/methods , Geologic Sediments , Models, Theoretical , Soil Pollutants , Waste Management/methods , Algorithms , Conservation of Natural Resources , Humans , Program Evaluation , Water Pollution/legislation & jurisprudence
3.
Environ Technol ; 27(4): 431-46, 2006 Apr.
Article in English | MEDLINE | ID: mdl-16583827

ABSTRACT

This paper presents the new methodology of management of dredging operations. Derived partly from existing methodologies (OECD, PNUE, AIPCN), it aims to be more comprehensive, mixing the qualities and the complementarities of previous methodologies. The application of the methodology has been carried out on the site of the Port of Dunkirk (FRANCE). Thus, a characterization of the sediments of this site has allowed a zoning of the Port to be established in to zones of probable homogeneity of sediments. Moreover, sources of pollution have been identified, with an aim of prevention. Ways of waste improvement have also been developed, to answer regional needs, from a point of view of competitive and territorial intelligence. Their development has required a mutualisation of resources between professionals, research centres and local communities, according to principles of industrial ecology. Lastly, a tool of MultiCriteria Decision-Making Aid (M.C.D.M.A.) has been used to determine the most relevant scenario (or alternative, or action) for a dredging operation intended by the Port of Dunkirk. These applications have confirmed the relevance of this methodology for the management of dredging operations.


Subject(s)
Conservation of Natural Resources/methods , Geologic Sediments , Models, Theoretical , Algorithms , Decision Making , Environment , Humans , Oceans and Seas , Waste Management/methods , Water Movements
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