Digital Modelling to Predict the Land Sliding Hazard in a Selected Area; Ponzano's (Italy) Test Case

• Autorzy: Pasculli Antonio , Sciarra Nicola , Farshadfar Amir

Identyfikatory

DOI

10.29227/IM-2024-01-28

Warianty tytułu

PL

Modelowanie cyfrowe w celu przewidywania zagrożenia osuwania się gruntu na wybranym obszarze; Przypadek testowy Ponzano (Włochy)

• Języki publikacji: EN

Abstrakty

EN

Creating a digital model is one of the aims of the geotechnical engineers, to predict the land sliding hazard which occur in different regions in the world. In February 2017, an extensive landslide occurred in the hamlet of Ponzano as a sloped area in the Abruzzo region in Italy. In this regard, predicting the land sliding hazard is one of the important issues to prevent hazard to the civilizations. In this project we created a model in the 3D dimension through the Plaxis 3D numerical solution software from the data based of the region Abruzzo in 2007 to evaluate the land sliding hazard before happened and then compare the results with the data from the drone data surveyed recently in the 2022. In this regard, the data from the Abruzzo resources from 2007 imported into the QGIS as the open-source cross-platform software to analysis the geospatial data and then imported into the Recap software to work on the point cloud data and then imported into the Civil 3D software to create a solid surface from the TIN surface and finally since the solid surface contains a large number of irrelative details, they were imported into the Rhinoceros software to create a NURBS surface to be smoothed for better performance in the analysis. The NURBS surface imported into the Plaxis and all of the geometry and geotechnical engineering parameters by considering the investigated geotechnical survey that was conducted in parallel in the area, defined for the model. The “Hardening Soil” model considered for the 1st layer as the “clay and lime” and the “Hoek-Brown” model defined for the 2nd layer as the “marl-flysch”. A fine mesh elements distribution assessed also for the model. The phases defined as the “gravity” to define the unit weight of the soil layers, the “plastic” phase to calculate the instant deformations and the “consolidation” to analyze the plastic deformations in the sloped area of the model. In parallel, the drone data achieved in 2022, were imported into the CloudCompare as the 3D point cloud processing software and different methods such as the “segment”, “statistical outlier Filter”, “CSF filter”, “noise filter”, “cross section” etc. were performed to clean the data and then imported into the Recap software to work on data and then imported into the Civil 3D software to create solid surface of the current data after the land sliding. In this regard, to evaluate the displacement occurred from the year 2007 toward the 2022, a TIN volume surface as the colored map created through the Civil 3D software to show the displacements in the z direction and all of the results were compared with the Plaxis 3D numerical solution software. The results showed that the colored map with the displacement in the positive and negative direction of the z is the same of the analyzed model and the values match each other’s and we created a digital model of the selected area to predict the land sliding hazard in the region in the following.

Słowa kluczowe

EN

case study; digital modelling; land sliding hazard; Ponzano; Italy

PL

studium przypadku; modelowanie cyfrowe; zagrożenie osuwaniem się gruntu; Ponzano; Włochy

• Wydawca: Polskie Towarzystwo Przeróbki Kopalin
• Czasopismo: Inżynieria Mineralna
• Rocznik: 2024
• Tom: Vol. 1, no. 1
• Strony: 255--262
• Opis fizyczny: Bibliogr. 17 poz., rys., tab., zdj.

Twórcy

autor

Pasculli Antonio

• Department of Engineering and Geology, Campus University, University of G.D’Annunzio, Via dei Vestini, Num. 31, (Chieti – Pescara, Italy), 66100 CHIETI, Italy

autor

Sciarra Nicola

• Department of Psychological, Health and Territory Science, Campus University, University of G.D’Annunzio, Via dei Vestini, Num. 31, (Chieti – Pescara, Italy), 66100 CHIETI, Italy

autor

Farshadfar Amir

• Department of Engineering and Geology, Campus University, University of G.D’Annunzio, Via dei Vestini, Num. 31, (Chieti – Pescara, Italy), 66100 CHIETI, Italy

Bibliografia

• 1. Pasculli, A., Cinosi, J., Turconi, L, Sciarra, N., (2019). Parametric Study of an Alpine Wet Debris Flow Event (Novalesa, Torino, Italy) Applying The Finite Volume Method (FVM). Comparison with Available Experimental Data. IOP Conference Series: Earth and Environmental Science, WMESS2018. Vol. 221, pp. 1-11, 3-7 September 2018 Praga Czech Republic. DOI: 10.1088/1755-1315/221/1/012160; ISSN: 1755-1307; SCOPUS id=2-s2.0-85063483941.
• 2. Pasculli, A., Cinosi, J., Turconi, P., Sciarra, N., (2021). Learning Case Study of a Shallow-Water Model to Assess an Early-Warning System for Fast Alpine Muddy-Debris-Flow. WATER Vol. 13 (6), pp 750-780. DOI 10.3390/w13060750; SCOPUS: 2-s2.0-85102845331.
• 3. Pasculli, A., Mangifesta, M., (2020). Local Seismic Change Following an Excavation in an Area Located in the Territory of L'Aquila City (Italy). International Conference of Numerical Analysis and Applied Mathematics ICNAAM 2019 AIP Conf. Proc. 2293 420072-1–420072-6; Rhodes, Greece, 23-28 September 2019; DOI: 10.1063/5.0027121; SCOPUS: 2-s2.0-85097996892.
• 4. Pasculli, A., Mangifesta, M., Sciarra, N., (2023) Stochastic Approach for 2D Superficial Seismic Amplification Based on Quad4M; City of L’Aquila (Italy) Test Case. Geosciences, 13, 165. DOI 10.3390/geosciences13060165; SCOPUS: 2-s2.0-85163799373;
• 5. Solari, L., Raspini, F., Soldato, M., Bianchini, S., Ciampalini, A., Ferrigno, F., Tucci, S., Casagli, N., (2018). Satellite radar data for back-analyzing a landslide event: the Ponzano (Central Italy) case study. Lanslides Journal. vol. 15, 773-782. DOI: 10.1007/s10346-018-0952-x.
• 6. International Programme on Landslides. https://iplhq.org/report/ponzano-landslide/.
• 7. NOAA National Centers for Environmental Infomration, State of the Climate: Global Climate Report for Annual 2016 (2017). https://www.ncdc.noaa.gov/sotc/global/201613.
• 8. Allasia, P., Baldo, M., Giordan, D., Godone, D., Wrzesniak, A., Lollino, G., (2018). Near Real Time Monitoring Systems and Periodic Surveys Using a Multi Sensors UAV: The Case of Ponzano Landslide, IAEG/AEG Annual Meeting Proceedings, San Francisco, California. vol. 1.
• 9. Civil Protection Department (DPC). Terremoto Centro Italia. (10 October 2017). http://www.protezionecivile.gov.it/jcms/it/terremoto_centro_italia_2016.wp.
• 10. Plaxis 3D software. Bentley Company. https://www.bentley.com/software/plaxis-3d/.
• 11. Audisio, C., Nigrelli, G., Pasculli, A., Sciarra, N., Turconi, L. (2017). A GIS spatial analysis model for landslide hazard mapping application in Alpine Area. International Journal of Sustainable Development and Planning. Vol. 12, Issue 5, 2017, pp. 883-893. DOI: 10.2495/SDP-V12-N5-883-893; SCOPUS id: 2-s2.0-84994533232
• 12. QGIS (Open Source Geographic Information System). https://qgis.org/en/site/.
• 13. Open data resources of the region Abruzzo. http://opendata.regione.abruzzo.it/.
• 14. ReCap software. Autodesk. https://www.autodesk.eu/collections/architecture-engineeringconstruction/included-software.
• 15. Civil 3D software. Autodesk. https://www.autodesk.eu/collections/architecture-engineeringconstruction/included-software.
• 16. Rhinoceros software. https://www.rhino3d.com/.
• 17. CloudCompare software. 3D point cloud and mesh processing software and open source software. https://www.danielgm.net/cc/.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki i promocja sportu (2025).