Articolo in rivista, 2022, ENG, 10.5194/essd-14-4129-2022

A new digital lithological map of Italy at the 1:100 000 scale for geomechanical modelling

Francesco Bucci(1), Michele Santangelo(1), Lorenzo Fongo(2), Massimiliano Alvioli(1), Mauro Cardinali(1), Laura Melelli(2), Ivan Marchesini(1)

(1) Consiglio Nazionale delle Ricerche, Istituto di Ricerca per la Protezione Idrogeologica, via Madonna Alta 126, 06128 Perugia, Italy (2) Dipartimento di Fisica e Geologia, Università degli Studi di Perugia, Piazza dell'Università 1, 06123 Perugia, Italy

Lithological maps contain information about the different lithotypes cropping out in an area. At variance with geological maps, portraying geological formations, lithological maps may differ as a function of their purpose. Here, we describe the preparation of a lithological map of Italy at the 1:100 000 scale, obtained from classification of a comprehensive digital database and aimed at describing geomechanical properties. We first obtained the full database, containing about 300 000 georeferenced polygons, from the Italian Geological Survey. We grouped polygons according to a lithological classification by expert analysis of the 5456 original unique descriptions of polygons, following compositional and geomechanical criteria. The procedure resulted in a lithological map with a legend including 19 classes, and it is linked to a database allowing ready interpretation of the classes in geomechanical properties and is amenable to further improvement. The map is mainly intended for statistical and physically based modelling of slope stability assessment and geomorphological and geohydrological modelling. Other possible applications include geoenvironmental studies, evaluation of river chemical composition, and estimation of raw material resources. The dataset is publicly available at https://doi.org/10.1594/PANGAEA.935673 (Bucci et al., 2021).

Earth system science data (Internet) 14 (9), pp. 4129–4151

Keywords

lithology, geology, modeling, geomechanical, slope stability

CNR authors

Marchesini Ivan, Santangelo Michele, Bucci Francesco, Alvioli Massimiliano, Cardinali Mauro

CNR institutes

IRPI – Istituto di ricerca per la protezione idrogeologica

ID: 470838

Year: 2022

Type: Articolo in rivista

Creation: 2022-09-15 16:43:54.000

Last update: 2023-07-26 11:21:38.000

External IDs

CNR OAI-PMH: oai:it.cnr:prodotti:470838

DOI: 10.5194/essd-14-4129-2022

ISI Web of Science (WOS): 000850510900001