Regional-scale assessment of factors affecting non-point sources pollution: nitrate in groundwater (Contributo in atti di convegno)

Type
Label
  • Regional-scale assessment of factors affecting non-point sources pollution: nitrate in groundwater (Contributo in atti di convegno) (literal)
Anno
  • 2007-01-01T00:00:00+01:00 (literal)
Alternative label
  • Masetti M., Poli S., Sterlacchini S., Beretta G.P. & Brambilla M. (2007)
    Regional-scale assessment of factors affecting non-point sources pollution: nitrate in groundwater
    in 35th IAH Congress, Groundwater and Ecosystems, Lisbon, Portugal, 17-21 September 2007
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Masetti M., Poli S., Sterlacchini S., Beretta G.P. & Brambilla M. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Proceedings of the 35th IAH Congress, Groundwater and Ecosystems (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 10 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Masetti M. - Dipartimento di Scienze della Terra «Ardito Desio», Università degli Studi di Milano, Italia Poli S. - Dipartimento di Scienze dell'Ambiente e del Territorio, Università degli Studi di Milano-Bicocca, Italia Sterlacchini S. - CNR - Istituto per la Dinamica dei Processi Ambientali (sezione di Milano), Milano, Italia Beretta G.P. - Dipartimento di Scienze della Terra «Ardito Desio», Università degli Studi di Milano, Italia Brambilla M. - Dipartimento di Scienze della Terra «Ardito Desio», Università degli Studi di Milano, Italia (literal)
Titolo
  • Regional-scale assessment of factors affecting non-point sources pollution: nitrate in groundwater (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-989-95297-3-1 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autoriVolume
  • Ribeiro L., Chambel A. & Condesso de Melo S.T. (literal)
Abstract
  • Natural and anthropogenic factors influencing the occurrence of high nitrate concentrations in groundwater in a sector of the Po Plain (Northern Italy) have been analyzed. The methodology combines measurements of nitrate concentrations (response variable) with spatial data representing both categorical and numerical variables (explanatory variables or predictors). The statistical model was developed by first testing each single explanatory variable in a logistic-regression model to determine the most significant factors. Then, factors were tested in a probabilistic-based model (Weights of Evidence Modeling Technique). The statistical model outlined: the overall influence each variable and each variable class have on the presence/absence of nitrate; the range of their values mostly influencing this presence/absence; the most and least critical combination of factor classes existing in each specific zone. Results provide a useful tool to evaluate the potential effect of development on groundwater quality for future planning of land use. (literal)
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