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Soil pollution: cartography, risks, decision support systems

Ziel



Recent analysis of the spatial and temporal distribution following large-scale accidents (Chernobyl, Kyshtym) shows that traditional approaches have limitations both from the scientific point of view and for the decision making process. Numerous maps have been published using traditional simple methods and disregarding any spatial data analysis, cross-validation of estimators, errors and risk mapping, etc.

The first and preliminary results based on up-to-date fundamental approaches, e.g. geostatistical models and stochastic simulations, have been very promising and have shown that much better information can be extracted from the available data. A geostatistical approach could be effectively used for developing a sampling strategy at different stages of an accident. Such an approach will bring much added value to the data which is costly to collect.

This project will deal with the development of new methodologies and prototypes of decision support systems for the environmental data and monitoring networks analysis, with the help of recent geostatistical and stochastic simulation theories. Validation and verification of the new approaches will be performed and analysed by using real data on soil pollution.

The valorisation of the available pollution data will be carried out using the different tools available from each of the participants. The vertical diffusion of pollution in soils and in water levels will subsequently be combined with the two-dimensional horizontal correlative spatial analysis. This will be further adapted to the dynamic approach of variation in time with respect to time-correlation. The results, in the form of tables, diagrams and maps will be presented for easy consultation and modifications.

The project will deliver practical examples using available case-studies, and will provide a methodology and a prototype for performing decision support systems which could be used for further pollution and industrial hazard cases. Such a system would be an efficient means of cost-savings and efficient behaviour in the case of other hazards. Further main results of the project will be a new methodology for the spatial data analysis and mapping for large-scale ecological projects; representative data bases on cumulative surface deposition of Cs-137 and Sr-90 at regional and local scales; comprehensive structural analysis (variography) of available data (case study: Chernobyl accident - Briansk region, Russia); cross-validation of existing and newly developed models for spatial data analysis (geostatistics) by using real environmental data; preparation of risk and prediction 2-D and 3-D maps by using deterministic and stochastic modelling and taking into account both contamination and soil variability; software tools for the analysis, processing and presentation of spatially distributed environmental data; and reports and papers for international conferences and journals.

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Koordinator

Université de Lausanne
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Adresse
BSFH2
1015 Lausanne
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