Mapping Errors of Mercury Source Emissions with Geostatistical Tools (Contributo in atti di convegno)

Type
Label
  • Mapping Errors of Mercury Source Emissions with Geostatistical Tools (Contributo in atti di convegno) (literal)
Anno
  • 2004-01-01T00:00:00+01:00 (literal)
Alternative label
  • Garro G.; Cinnirella S.; Pirrone N. (2004)
    Mapping Errors of Mercury Source Emissions with Geostatistical Tools
    in 7th International Conference on Mercury as a Global Pollutant. RMZ-Material Geoenvironment, Vol. 51, Part 1, 92., Ljubljana, Slovenia, 27 June-2 July
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Garro G.; Cinnirella S.; Pirrone N. (literal)
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  • 51 (literal)
Rivista
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  • Proceedings, 27 June-2 July 2004. RMZ-Material Geoenvironment, Vol. 51, Part 1, 92. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 1 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR-IIA (literal)
Titolo
  • Mapping Errors of Mercury Source Emissions with Geostatistical Tools (literal)
Abstract
  • Nowadays model complexity in terms of input data suggests the necessity of a complete and well structured database (DB). Within the construction process of a DB the check of data validity follows the collection of datasets. The above is more interesting when data gathered from different sources are considered. Also the integration of socio-economic evaluation stresses the importance of data integration for improving holistic analysis. The effort aimed to integrate and manage different data within a common database comply the requirements of the European Commission priorities to encourage the development of integrated and multi-compartment projects. Among these MERCYMS concerns the cycling of mercury in the Mediterranean environment. For the project purpose mercury emissions at point and non-point level were collected for Europe and Mediterranean countries. This study illustrates the work done on 1995 and 2000 DB to detect errors in source emissions. After a preliminary check on displacement of emission sources, we use a probabilistic approach under the geostatistical analysis to obtain spatial distribution of error. Results show an elevated degree of uncertainties in few areas like Portugal and the East Europe. Finally a comparison of differences between the two DBs was assessed. (literal)
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