Articles | Volume 13, issue 3
https://doi.org/10.5194/nhess-13-559-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-13-559-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Comparison between different approaches to modeling shallow landslide susceptibility: a case history in Oltrepo Pavese, Northern Italy
D. Zizioli
Department of Earth and Environment Sciences, University of Pavia, Via Ferrata 1, 27100 Pavia, Italy
C. Meisina
Department of Earth and Environment Sciences, University of Pavia, Via Ferrata 1, 27100 Pavia, Italy
R. Valentino
Department of Civil, Environmental, Territory Engineering and Architecture, University of Parma, Viale G. P. Usberti 181/A 43100 Parma, Italy
L. Montrasio
Department of Civil, Environmental, Territory Engineering and Architecture, University of Parma, Viale G. P. Usberti 181/A 43100 Parma, Italy
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Adv. Geosci., 64, 1–5, https://doi.org/10.5194/adgeo-64-1-2024, https://doi.org/10.5194/adgeo-64-1-2024, 2024
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We studied and mapped the ground deformation in Catania plain in Italy using artificial intelligence techniques applied to displacement time series of Sentinel-1 satellites. We estimated the dates when the velocities of displacement time series changed. We observed significant land subsidence in the south part of Catania Airport and showed how the precipitation cycles and trend change had a potential impact on ground deformation.
Roberto Tomás, José Luis Pastor, Marta Béjar-Pizarro, Roberta Bonì, Pablo Ezquerro, José Antonio Fernández-Merodo, Carolina Guardiola-Albert, Gerardo Herrera, Claudia Meisina, Pietro Teatini, Francesco Zucca, Claudia Zoccarato, and Andrea Franceschini
Proc. IAHS, 382, 353–359, https://doi.org/10.5194/piahs-382-353-2020, https://doi.org/10.5194/piahs-382-353-2020, 2020
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Proc. IAHS, 382, 409–414, https://doi.org/10.5194/piahs-382-409-2020, https://doi.org/10.5194/piahs-382-409-2020, 2020
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The potential of the integrated use of A-DInSAR data and 3D groundwater flow and geomechanical models to capture and assess aquifer dynamics is performed. The approach has been applied to investigate the response during and after pumping of a portion of the Madrid aquifer. The short time delay (about one month) between the groundwater pumping and the system response (land displacements) are likely due to a minor role played by the clayey layers.
Roberta Bonì, Claudia Meisina, Linda Poggio, Alessandro Fontana, Giulia Tessari, Paolo Riccardi, and Mario Floris
Proc. IAHS, 382, 277–284, https://doi.org/10.5194/piahs-382-277-2020, https://doi.org/10.5194/piahs-382-277-2020, 2020
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In this work, an innovative methodology to generate the automatic ground motion areas mapping is presented. The procedure was tested using different sensors such as ERS-1/2, ENVISAT, COSMO-SkyMed and Sentinel-1 over an area of about 500 km2 in the Venetian-Friulian coastal Plain (NE Italy). The resulting mapping allows to detect priority areas where to address further in situ investigations such as to verify the presence of localized buried landforms.
Massimiliano Bordoni, M. Giuseppina Persichillo, Claudia Meisina, Stefano Crema, Marco Cavalli, Carlotta Bartelletti, Yuri Galanti, Michele Barsanti, Roberto Giannecchini, and Giacomo D'Amato Avanzi
Nat. Hazards Earth Syst. Sci., 18, 1735–1758, https://doi.org/10.5194/nhess-18-1735-2018, https://doi.org/10.5194/nhess-18-1735-2018, 2018
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This paper aimed to develop and test a data-driven model for the identification of road sectors that are susceptible to be hit by shallow landslides triggered in slopes upstream of infrastructure. Most susceptible road traits were those located below steep slopes with a limited height (lower than 50 m), where sediment connectivity is high. The results of the susceptibility analysis can give asset managers indispensable information on the relative criticality of the different roads.
R. Bonì, G. Herrera, C. Meisina, D. Notti, M. Béjar-Pizarro, F. Zucca, P. J. González, M. Palano, R. Tomás, J. Fernández, J. A. Fernández-Merodo, J. Mulas, R. Aragón, C. Guardiola-Albert, and O. Mora
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Multi-sensor advanced DInSAR analyses have been performed, in order to evaluate the land subsidence evolution in a 20-year period, in the Alto Guadalentín Basin where the highest rate of man-induced subsidence (>10 cm/yr-) of Europe had been detected. The control mechanisms have been examined comparing the advanced DInSAR data with conditioning and triggering factors (i.e. isobaths of Plio-Quaternary deposits, soft soil thickness and piezometric level).
R. Bonì, C. Meisina, C. Perotti, and F. Fenaroli
Proc. IAHS, 372, 357–360, https://doi.org/10.5194/piahs-372-357-2015, https://doi.org/10.5194/piahs-372-357-2015, 2015
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A methodology based on Persistent Scatterer Interferometry (PSI) is proposed in order to disentangle the contribution of different processes that act at different spatio-temporal scales in land subsidence (i.e. vadose zone processes as swelling/shrinkage of clay soils, soil consolidation and fluid extraction). The methodology was applied in different Italian geological contexts characterized by natural and anthropic processes (i.e. a Prealpine valley and the Po Plain in northern Italy).
M. Bordoni, C. Meisina, R. Valentino, M. Bittelli, and S. Chersich
Nat. Hazards Earth Syst. Sci., 15, 1025–1050, https://doi.org/10.5194/nhess-15-1025-2015, https://doi.org/10.5194/nhess-15-1025-2015, 2015
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This manuscript defines a reliable methodology for shallow landslides triggering zones assessment at site-specific or local scales by using a well-established physically based model (TRIGRS-unsaturated) based on the calibration of the model at slope scale using soil hydrological behavior analyzed through a continuous field monitoring. Moreover, the paper analyzes the effects on triggering zones assessment of taking into account for different unit mapping of the slope soils of a studied area.
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