Application of Geostatistical Tools to the Geochemical Characterization of the Peloritani Mts (Sicily, Italy) Aquifers
Sources of groundwater contaminants in inhabited areas, located in complex geo-tectonic contexts, are often deeply interlocked, thus, making the discrimination between anthropic and natural origins difficult. In this study, we investigate the Peloritani Mountain aquifers (Sicily, Italy), using the c...
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2021
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oai:doaj.org-article:ae816cc0afa14d40a5287d31ddf0b2e62021-11-25T19:16:12ZApplication of Geostatistical Tools to the Geochemical Characterization of the Peloritani Mts (Sicily, Italy) Aquifers10.3390/w132232692073-4441https://doaj.org/article/ae816cc0afa14d40a5287d31ddf0b2e62021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4441/13/22/3269https://doaj.org/toc/2073-4441Sources of groundwater contaminants in inhabited areas, located in complex geo-tectonic contexts, are often deeply interlocked, thus, making the discrimination between anthropic and natural origins difficult. In this study, we investigate the Peloritani Mountain aquifers (Sicily, Italy), using the combination of probability plots with concentration contour maps to retrieve an overall view of the groundwater geo-chemistry with a special focus on the flux of heavy metals. In particular, we present a methodology for integrating spatial data with very different levels of precision, acquired before and during the “geomatic era”. Our results depict a complex geochemical layout driven by a geo-puzzle of rocks with very different lithological natures, hydraulically connected by a dense tectonic network that is also responsible for the mixing of deep hydrothermal fluids with the meteoric recharge. Moreover, a double source, geogenic or anthropogenic, was individuated for many chemicals delivered to groundwater bodies. The concentration contour maps, based on the different data groups identified by the probability plots, fit the coherency and congruency criteria with the distribution of both rock matrices and anthropogenic sources for chemicals, indicating the success of our geostatistical approach.Marianna CangemiValentina CensiPaolo MadoniaRocco FavaraMDPI AGarticledissolved CO<sub>2</sub> partial pressureheavy metalswater qualityMaximum Admitted Concentrationsprobability plotstectonicsHydraulic engineeringTC1-978Water supply for domestic and industrial purposesTD201-500ENWater, Vol 13, Iss 3269, p 3269 (2021) |
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dissolved CO<sub>2</sub> partial pressure heavy metals water quality Maximum Admitted Concentrations probability plots tectonics Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500 |
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dissolved CO<sub>2</sub> partial pressure heavy metals water quality Maximum Admitted Concentrations probability plots tectonics Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500 Marianna Cangemi Valentina Censi Paolo Madonia Rocco Favara Application of Geostatistical Tools to the Geochemical Characterization of the Peloritani Mts (Sicily, Italy) Aquifers |
description |
Sources of groundwater contaminants in inhabited areas, located in complex geo-tectonic contexts, are often deeply interlocked, thus, making the discrimination between anthropic and natural origins difficult. In this study, we investigate the Peloritani Mountain aquifers (Sicily, Italy), using the combination of probability plots with concentration contour maps to retrieve an overall view of the groundwater geo-chemistry with a special focus on the flux of heavy metals. In particular, we present a methodology for integrating spatial data with very different levels of precision, acquired before and during the “geomatic era”. Our results depict a complex geochemical layout driven by a geo-puzzle of rocks with very different lithological natures, hydraulically connected by a dense tectonic network that is also responsible for the mixing of deep hydrothermal fluids with the meteoric recharge. Moreover, a double source, geogenic or anthropogenic, was individuated for many chemicals delivered to groundwater bodies. The concentration contour maps, based on the different data groups identified by the probability plots, fit the coherency and congruency criteria with the distribution of both rock matrices and anthropogenic sources for chemicals, indicating the success of our geostatistical approach. |
format |
article |
author |
Marianna Cangemi Valentina Censi Paolo Madonia Rocco Favara |
author_facet |
Marianna Cangemi Valentina Censi Paolo Madonia Rocco Favara |
author_sort |
Marianna Cangemi |
title |
Application of Geostatistical Tools to the Geochemical Characterization of the Peloritani Mts (Sicily, Italy) Aquifers |
title_short |
Application of Geostatistical Tools to the Geochemical Characterization of the Peloritani Mts (Sicily, Italy) Aquifers |
title_full |
Application of Geostatistical Tools to the Geochemical Characterization of the Peloritani Mts (Sicily, Italy) Aquifers |
title_fullStr |
Application of Geostatistical Tools to the Geochemical Characterization of the Peloritani Mts (Sicily, Italy) Aquifers |
title_full_unstemmed |
Application of Geostatistical Tools to the Geochemical Characterization of the Peloritani Mts (Sicily, Italy) Aquifers |
title_sort |
application of geostatistical tools to the geochemical characterization of the peloritani mts (sicily, italy) aquifers |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/ae816cc0afa14d40a5287d31ddf0b2e6 |
work_keys_str_mv |
AT mariannacangemi applicationofgeostatisticaltoolstothegeochemicalcharacterizationofthepeloritanimtssicilyitalyaquifers AT valentinacensi applicationofgeostatisticaltoolstothegeochemicalcharacterizationofthepeloritanimtssicilyitalyaquifers AT paolomadonia applicationofgeostatisticaltoolstothegeochemicalcharacterizationofthepeloritanimtssicilyitalyaquifers AT roccofavara applicationofgeostatisticaltoolstothegeochemicalcharacterizationofthepeloritanimtssicilyitalyaquifers |
_version_ |
1718410115433889792 |