Objective The project aims at developing, testing and disseminating generic decision support tools that can match technological advancements in environmental monitoring and facilitate interpretation of time series environmental data. The approach is novel in the sense that mechanistic models based on physical, chemical and biological concepts and theories are fully integrated with statistical methods.Objectives:The objective of the project is to introduce a new set of tools which will bridge the present gap between purely statistical analysis of environmental monitoring data and mechanistic environmental modelling based on biological, chemical and physical concepts and theories. The specific tools objectives are to:Match technological advances in environmental monitoring;Facilitate estimation of environmental impact in the presence of natural fluctuations in the environment;Bridge the gap between statistical data analysis and mechanistic modelling.Moreover these tools also aim to involve the following specific procedures:Time series decomposition methods in which a given series of environmental data is divided into two components respectively representing meteorologically-induced fluctuations and meteorologically normalised estimates of human impact;Significance tests that permit retrospective impact assessment in the presence of co-variates representing natural fluctuations;Model reduction procedures that facilitate merging of statistical and mechanistic approaches.Work description:Tools development facilitating interpretation of time series of environmental data is divided into three types of activities:Development of generic computational procedures that can bridge the gap between statistical analysis of environmental monitoring data and mechanistic modelling based on physical, chemical and biological concepts and theories;Testing of the procedures developed on a representative selection of environmental quality data and mechanistic models driven by meteorological or other naturally fluctuating inputs;Incorporation of end-user views in the design of the decision support tools that shall be developed.Milestones:Scientific documentation of the methods and theoretical framework in which mechanistic models can be merged with statistical techniques to extract anthropogenic signals from time series of environmental data;Scientific documentation of case studies on water and air quality that demonstrate the performance and benefits of the new tools compared to the tools presently used;End-user-tested software and targeted presentations. Fields of science natural sciencescomputer and information sciencesdata sciencenatural sciencescomputer and information sciencessoftwareengineering and technologyenvironmental engineeringair pollution engineering Programme(s) FP5-IST - Programme for research, technological development and demonstration on a "User-friendly information society, 1998-2002" Topic(s) Data not available Call for proposal Data not available Funding Scheme CSC - Cost-sharing contracts Coordinator LINKOEPINGS UNIVERSITET EU contribution No data Address CAMPUS VALLA 581 83 LINKOEPING Sweden See on map Total cost No data Participants (7) Sort alphabetically Sort by EU Contribution Expand all Collapse all ASSOCIATION POUR LA RECHERCHE ET LE DEVELOPPEMENT DES METHODES ET PROCESSUS INDUSTRIELS France EU contribution No data Address BOULEVARD SAINT-MICHEL 60 75272 PARIS 6 See on map Total cost No data ECOLE NATIONALE SUPERIEURE DES MINES DE PARIS France EU contribution No data Address BOULEVARD SAINT MICHEL 60 75272 PARIS See on map Total cost No data EUROPEAN COMMISSION - JOINT RESEARCH CENTRE Italy EU contribution No data Address VIA FERMI 1 21020 ISPRA See on map Total cost No data GKSS - FORSCHUNGSZENTRUM GEESTHACHT GMBH Germany EU contribution No data Address MAX-PLANCK-STRASSE 21502 GEESTHACHT See on map Total cost No data ILMATIETEEN LAITOS Finland EU contribution No data Address VUORIKATU 24 00101 HELSINKI See on map Total cost No data THE UNIVERSITY OF LANCASTER United Kingdom EU contribution No data Address BAILRIGG LA1 4YW LANCASTER See on map Total cost No data UNIVERSITY OF WASHINGTON United States EU contribution No data Address 98195-0000 SEATTLE WA See on map Total cost No data
