EGU21-3772
https://doi.org/10.5194/egusphere-egu21-3772
EGU General Assembly 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Local natural background levels assessment through a groundwater redox zonation, the case of Lombardy Region.

Marco Rotiroti1, Mariachiara Caschetto1, Chiara Zanotti1, Marco Parini2, Giuseppa Cipriano3, Tullia Bonomi1, and Letizia Fumagalli1
Marco Rotiroti et al.
  • 1Department of Earth and Environmental Sciences, University of Milano-Bicocca, Piazza della Scienza 1, 20126 Milano, Italy.
  • 2Regione Lombardia, Direzione Generale Territorio e Protezione Civile, Struttura Risorse Idriche, Piazza Città di Lombardia 1, 20124 Milano, Italy.
  • 3Agenzia Regionale per la Protezione dell’Ambiente della Lombardia, Settore Monitoraggi Ambientali, Via Rosellini 17, 20124 Milano, Italy.

Discretizing anthropogenic and natural contaminations represents a crucial step in groundwater management and regulation. Natural background levels (NBLs) have a huge impact on groundwater protections and remediation strategies, but it is still an issue on the ground in terms of reliability and accuracy, thus its derivation needs further scientific efforts.

The derivation of local NBLs (LNBLs) is intended to overcome the limitation of considering a groundwater body (GWB) homogeneous, hence accounting hydrogeochemical heterogeneities within the aquifer system.

This work presents a statistical approach assessing LNBLs for sensitive redox species (As, Fe, Mn, NH4) in 30 GWBs within the Lombardy Region. Under the monitoring network of the Regional Agency for Environmental Protection of Lombardy (ARPA), more than 500 wells were investigated, thus each GWBs were identified within 4 aquifer types: shallow, intermediate, deep Po Plain aquifers and Alpine valley aquifers. The initial dataset underwent preselection and multivariate analyses, appointing at each well a geogenic redox zonation. It leaded to discretize geochemically-homogeneous subgroups and characterize them as function of site-specific natural facies: oxidised (293 wells), reduced (199 wells) and saline (11 wells). Interquartile range criteria, validations’ tests (Mann-Kendall and Shapiro-Wilk), probability density histograms and probability plots inferred temporally and spatially the datasets, one for each target species, discretized for aquifer and natural facies appartenances. This resulted in the identification of the statistical distributions from redox-homogeneous sets of data from which the LNBLs were derived.

Considering the Po Plain aquifer (shallow, intermediate and deep), NBLs derivation for As revealed three subgroups within the oxidised facies, for which the NBLs values are of 2, 3 and 7 μg/L, four subgroups ascribe to the reduced facies with NBLs of 13, 49, 71 and 291 μg/L, and two subgroups for the saline facies with NBLs of 3 and 12 μg/L. According Fe, two are the subgroups within the oxidised facies, with NBLs of 40 and 94 μg/L, four subgroups fall in the reduced facies with NBLs of 653, 1430, 3200 and 6000 μg/L; within the saline facies, two subgroups are identified with NBLs of 1647 and 6000 μg/L. Two subgroups characterize the oxidised facies for NBLs of Mn with values of 8 and 27 μg/L, and NBLs of 34, 216, 485, 912 and 1514 μg/L refer to five subgroups in reduced facies, while within the saline facies fall two subgroups with NBLs of 381 and 921 μg/L. With regards to NH4, NBLs reach values of 49, 110 and 190 μg/L for the three subgroups within the oxidised facies, whereas values of 834, 2600, 3090, 4480 μg/L are derived for the four subgroups in the reduced facies; the two subgroups ascribed to the saline facies reveal NBLs of 1860 and 6620 μg/L.

Data demonstrate how an in depth understanding of aquifers’ redox-zonations turned out to be functional for assessing LNBLs. Regional Legislation (D.G.R. 23novembre2020 n.3903) has been amended on the basis of the outcomes of this work, revealing site redox-specific LNBLs of practical significance.

 

Funding: this work was granted and carried out in collaboration with Lombardy Region.

How to cite: Rotiroti, M., Caschetto, M., Zanotti, C., Parini, M., Cipriano, G., Bonomi, T., and Fumagalli, L.: Local natural background levels assessment through a groundwater redox zonation, the case of Lombardy Region., EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-3772, https://doi.org/10.5194/egusphere-egu21-3772, 2021.

Corresponding presentation materials formerly uploaded have been withdrawn.