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Modelling a Polluted Aquifer with Reconstructed Heterogeneity Using the Composite Medium Indicator Kriging

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Instrumentation and Measurement Technologies for Water Cycle Management

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Abstract

Stochastic hydrology can be a powerful instrument to quantify uncertainty in complicated geological structures, since numerical models must accommodate high levels of material heterogeneity. The possibility to provide for the behavior of groundwater systems under specific conditions, thanks to a realistic representation of the hydraulic properties and geometries in a mathematical model, is the basis for a conscious management of engineering, economic, social and political problems which are typical of remediation actions. The composite media theory which allows the estimation of the spatial distribution of multiple materials, even when the medium is highly heterogeneous, is presented. The probabilistic reconstruction of boundaries between geologic facies is applied to the mathematical model of the contaminated aquifer involved by the industrial site of the city of Naples. Sedimentologic information led to the identification of different types of geomaterials, whose spatial variability is analyzed through the indexed variables approach. The hydraulic conductivity distribution is then estimated through a geostatistical analysis, and the values are calibrated as a function of the observed hydraulic heads. The realistic reconstruction of the morphology and the hydrodynamic characteristics of a polluted site within a modeling tool, gives a fundamental help to design efficient remediation processes, without causing unacceptable perturbation of the natural conditions of the sites and excessive costs.

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Acknowldgement

The study has been performed in the framework of a research agreement with the Ministry of the Environment, Land and Sea Protection and SOGESID. The authors thank the late prof. Celico P. for his support on the recognition of the geological data of Naples aquifer, and the anonynomous reviewer for his/her fruitful and constructive comments.

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Authors and Affiliations

  1. Department of Environmental Engineering (DIAm), University of Calabria, 87036, Rende, Italy

    Francesco Chidichimo, Michele De Biase & Salvatore Straface

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  1. Francesco Chidichimo
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  2. Michele De Biase
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  3. Salvatore Straface
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Correspondence to Salvatore Straface .

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Editors and Affiliations

  1. Università degli studi della Campania Luigi Vanvitelli, Aversa (CE), Caserta, Italy

    Anna Di Mauro

  2. Institute of Information Science and Technologies (CNR-ISTI), National Research Council of Italy, Pisa, Italy

    Andrea Scozzari

  3. Institute for Electromagnetic Sensing of the Environment, National Research Council of Italy, NAPOLI, Napoli, Italy

    Francesco Soldovieri

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Chidichimo, F., De Biase, M., Straface, S. (2022). Modelling a Polluted Aquifer with Reconstructed Heterogeneity Using the Composite Medium Indicator Kriging. In: Di Mauro, A., Scozzari, A., Soldovieri, F. (eds) Instrumentation and Measurement Technologies for Water Cycle Management . Springer Water. Springer, Cham. https://doi.org/10.1007/978-3-031-08262-7_24

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