With the aim of developing procedures coping with the disadvantages and emphasising the advantages of existing rating methods and the use of statistical methods for assessing groundwater vulnerability, we propose to combine the two approaches to perform a groundwater vulnerability assessment in a study area in Italy. In the case study, located in an area of northern Italy with both urban and agricultural sectors, keeping the structure of the DRASTIC rating method, we used a spatial statistical approach to calibrate weights and ratings of a series of variables, potentially affecting groundwater vulnerability. In order to verify the effectiveness of these procedures, the results were compared to a non-modified approach and to the map resulting from the ‘‘Time–Input’’ method, highlighting the advantages that can be obtained, and defining the general limit of these applications. The revised method shows a more realistic distribution of vulnerability classes in accordance with the distribution of wells impacted by high nitrate concentration, demonstrating the importance of taking into account the specific hydrogeological conditions of the area.

Using statistical analyses for improving rating methods for groundwater vulnerability in contamination maps / Bonfanti, M.; Ducci, Daniela; Masetti, M.; Sellerino, Mariangela; Stevenazzi, S.. - In: ENVIRONMENTAL EARTH SCIENCES. - ISSN 1866-6280. - 75:12(2016). [10.1007/s12665-016-5793-0]

Using statistical analyses for improving rating methods for groundwater vulnerability in contamination maps

DUCCI, DANIELA;SELLERINO, MARIANGELA;Stevenazzi, S.
2016

Abstract

With the aim of developing procedures coping with the disadvantages and emphasising the advantages of existing rating methods and the use of statistical methods for assessing groundwater vulnerability, we propose to combine the two approaches to perform a groundwater vulnerability assessment in a study area in Italy. In the case study, located in an area of northern Italy with both urban and agricultural sectors, keeping the structure of the DRASTIC rating method, we used a spatial statistical approach to calibrate weights and ratings of a series of variables, potentially affecting groundwater vulnerability. In order to verify the effectiveness of these procedures, the results were compared to a non-modified approach and to the map resulting from the ‘‘Time–Input’’ method, highlighting the advantages that can be obtained, and defining the general limit of these applications. The revised method shows a more realistic distribution of vulnerability classes in accordance with the distribution of wells impacted by high nitrate concentration, demonstrating the importance of taking into account the specific hydrogeological conditions of the area.
2016
Using statistical analyses for improving rating methods for groundwater vulnerability in contamination maps / Bonfanti, M.; Ducci, Daniela; Masetti, M.; Sellerino, Mariangela; Stevenazzi, S.. - In: ENVIRONMENTAL EARTH SCIENCES. - ISSN 1866-6280. - 75:12(2016). [10.1007/s12665-016-5793-0]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/634802
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