Lithologic data and modelling of NW Friuli-Venezia Giulia plain (Italy)

Published: 4 April 2023| Version 1 | DOI: 10.17632/89dmvj5d55.1
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Description

The dataset includes lithologic data obtained from different sources, both public and private entities, digitalized and harmonizzated following a unique referent model. The lithologic data are collocated in the western part of Friuli-Venezia Giulia Region (Italy), in detail in the Pordenonese Plain. The Pordenonese plain consists in articulated alluvional plain characterized in two sections: - High Plain, consists main in loose coarse sediments. - Low Plain, consist in gravelly-sandy levels variously interspersed with clayey deposits. This lithological setting hoster a complex system of overlapping, confined or semi-confined aquifers. The transition between this two sectors are marked by an area characterized by abundant groundwater outcrops, due to a different pearmeability values, know as resurgence belt. We present a lithological model elaboration of the Pordenonese Plain obtained from realization of a comprehensive digital database. First of all, we realized a full database containing about 413 geo-referenced points, each associated to a corrispective lithologic log. Successively, we harmonizated the lithologic data following the simple and classic lithological classification (gravel, gravel with sand, sand, sand with gravel, sand with clay, clay, clay with sand). The lithological database, georeferenzied and harmonized, allowed us to obtain several elaboration (e.g. 2D sections and a 3D model) that provide more detailed information on the lithostratigraphic structure of the area. The dataset contains the table with spatial information of all examined wells, lithologic logs decription (only in italian), 2D and 3D elaborations obtained from modelling processes, prior harmonizzation of the data.

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Institutions

Universita degli Studi di Ferrara, Istituto Nazionale di Oceanografia e Geofisica Sperimentale, ENEA Centro Ricerche Bologna

Categories

Data Modelling, Lithology, Database

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