EGU25-3720, updated on 14 Mar 2025
https://doi.org/10.5194/egusphere-egu25-3720
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Tuesday, 29 Apr, 16:15–18:00 (CEST), Display time Tuesday, 29 Apr, 14:00–18:00
 
Hall X3, X3.35
A Geotechnical Database for Geo-Hydrological Modeling at Regional and National Scales
Nunzia Monte1,2, Francesco Bucci1, Federica Angela Mevoli1, Michele Santangelo1, Paola Reichenbach1, Lucio Di Matteo3, and Ivan Marchesini1
Nunzia Monte et al.
  • 1National Research Council (CNR), Research Institute for Geo-Hydrological Protection (IRPI), Italy (nunziamonte@cnr.it)
  • 2Dipartimento di Scienze della Terra, dell’Ambiente e delle Risorse, Università Federico II, Monte S.Angelo, Via Cinthia, 21 - 80126 NAPOLI
  • 3Dipartimento di Fisica e Geologia, Università degli Studi di Perugia, Piazza dell’Università 1, 06123 Perugia, Italy

Despite advancements in physically distributed geo-hydrological models, their small-scale application is often hindered by a lack of quantitative information on geotechnical parameters. Geological and lithological maps, while essential, frequently lack the detailed information needed to enhance their utility in modelling. Addressing this issue, this presentation describes a comprehensive database containing over 2,300 geotechnical parameter records, collected through an extensive review of more than 100 scientific articles and international sources. The parameters include cohesion, friction angle, and porosity, associated to more than 200 different lithotypes. The geotechnical parameters were obtained from laboratory tests, field experiments, or empirical approaches (Monte et al., 2024).

For the Italian context, the collected parameters were associated with the lithological classes defined by Bucci et al. (2022), enabling to present preliminary geotechnical maps. These reclassified maps may provide researchers and stakeholders with a comprehensive dataset useful for slope stability assessments and small-scale land management.

Descriptive statistical analyses and validation through grey literature confirm the reliability and utility of the dataset in enhancing geotechnical characterizations. This database represents a significant advancement for geological and environmental risk assessments at regional and national scales.

 

Reference

Monte, N., Bucci, F., Mevoli, F. A., Santangelo, M., Reichenbach, P., Di Matteo, L., & Marchesini, I. (2024). A dataset of geotechnical parameters based on international literature to characterise lithotypes in Italy. Scientific Data, 11(1), 1371.

Bucci, F., Santangelo, M., Fongo, L., Alvioli, M., Cardinali, M., Melelli, L., & Marchesini, I. (2022). A new digital lithological map of Italy at the 1: 100 000 scale for geomechanical modelling. Earth System Science Data14(9), 4129-4151.

How to cite: Monte, N., Bucci, F., Mevoli, F. A., Santangelo, M., Reichenbach, P., Di Matteo, L., and Marchesini, I.: A Geotechnical Database for Geo-Hydrological Modeling at Regional and National Scales, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-3720, https://doi.org/10.5194/egusphere-egu25-3720, 2025.