http://www.cnr.it/ontology/cnr/individuo/prodotto/ID258364
Using positive and negative evidences of contamination to evaluate groundwater vulnerability (Abstract/Poster in atti di convegno)
- Type
- Label
- Using positive and negative evidences of contamination to evaluate groundwater vulnerability (Abstract/Poster in atti di convegno) (literal)
- Anno
- 2009-01-01T00:00:00+01:00 (literal)
- Alternative label
Sorichetta A., Ballabio C., Masetti M. & Sterlacchini S. (2009)
Using positive and negative evidences of contamination to evaluate groundwater vulnerability
in IAMG 2009 - Computational Methods for the Earth, Energy and Environmental Sciences, Stanford, California, USA, 23-27 August 2009
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Sorichetta A., Ballabio C., Masetti M. & Sterlacchini S. (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
- Proceedings of the IAMG 2009 - Computational Methods for the Earth, Energy and Environmental Sciences (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
- Note
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Sorichetta A. - Dipartimento di Scienze della Terra «Ardito Desio», Università degli Studi di Milano, Italia
Ballabio C. - Dipartimento di Scienze dell'Ambiente e del Territorio, Università degli Studi di Milano-Bicocca, Italia
Masetti M. - Dipartimento di Scienze della Terra «Ardito Desio», Università degli Studi di Milano, Italia
Sterlacchini S. - CNR - Istituto per la Dinamica dei Processi Ambientali (sezione di Milano), Milano, Italia (literal)
- Titolo
- Using positive and negative evidences of contamination to evaluate groundwater vulnerability (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-0-615-33449-3 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autoriVolume
- AA:VV. - International Scientific Committee of IAMG (literal)
- Abstract
- Using the Weight of Evidence model (WofE), a groundwater vulnerability
assessment to nitrate (NO3-) contamination has been performed considering both positive
and negative evidences of contamination in the aquifer of the Province of Milan
(Northern Italy). The WofE calculates the weighted relationship between
hydrogeological-anthropogenic factors (explanatory variables) that influence the aquifer
vulnerability and groundwater nitrate concentration in the wells used as training points
(response variable). The use of the model requires to express the response variable as
binary with the necessity to establish a threshold value of concentration which separates
the data set in two subsets. The conventional approach is to use only the subsets
containing wells with concentration higher than the threshold value as training points. In
fact in groundwater vulnerability problems this subset represents the number and location
of the events that is, where groundwater has been strongly impacted by contamination. A
limit of this approach is that an entire subset, the one individuating areas where
groundwater has been slightly or no impacted by contamination, is completely neglected.
In this study the threshold value of concentration has been calculated by simple statistical
analysis and both the subsets of data served as training points to run two different WofE
models. This allows to avoid losing important information on experimental data and to
better describe the aquifer vulnerability by directly considering the importance of factors
which are related not only to high values of groundwater contamination but also to low
values. The influence in the final outputs due to the use of the two different training point
sets has been evaluated comparing the spatial distribution of the resulting vulnerability
classes. For both models the obtained weighted relationships between the explanatory
variables and response variable have also been investigated highlighting the main
difference in the results. (literal)
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