Articles | Volume 382
https://doi.org/10.5194/piahs-382-353-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/piahs-382-353-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Wavelet analysis of land subsidence time-series: Madrid Tertiary aquifer case study
Universidad de Alicante, Dpto. de Ingeniería Civil, Escuela
Politécnica Superior de Alicante,
P. O. Box 99, 03080 Alicante, Spain
José Luis Pastor
Universidad de Alicante, Dpto. de Ingeniería Civil, Escuela
Politécnica Superior de Alicante,
P. O. Box 99, 03080 Alicante, Spain
Marta Béjar-Pizarro
Geohazards InSAR Laboratory and Modeling Group, Instituto
Geológico y Minero de España (IGME), C/. Alenza 1, 28003 Madrid,
Spain
Roberta Bonì
Department of Earth and Environmental Sciences, University of Pavia,
Via Ferrata 1, Pavia 27100, Italy
Pablo Ezquerro
Geohazards InSAR Laboratory and Modeling Group, Instituto
Geológico y Minero de España (IGME), C/. Alenza 1, 28003 Madrid,
Spain
José Antonio Fernández-Merodo
Geohazards InSAR Laboratory and Modeling Group, Instituto
Geológico y Minero de España (IGME), C/. Alenza 1, 28003 Madrid,
Spain
Carolina Guardiola-Albert
Geohazards InSAR Laboratory and Modeling Group, Instituto
Geológico y Minero de España (IGME), C/. Alenza 1, 28003 Madrid,
Spain
Gerardo Herrera
Geohazards InSAR Laboratory and Modeling Group, Instituto
Geológico y Minero de España (IGME), C/. Alenza 1, 28003 Madrid,
Spain
Claudia Meisina
Department of Earth and Environmental Sciences, University of Pavia,
Via Ferrata 1, Pavia 27100, Italy
Pietro Teatini
Department of Civil, Environmental and Architectural Engineering,
University of Padua, via Marzolo 9, 35131 Padua (PD), Italy
Francesco Zucca
Department of Earth and Environmental Sciences, University of Pavia,
Via Ferrata 1, Pavia 27100, Italy
Claudia Zoccarato
Department of Civil, Environmental and Architectural Engineering,
University of Padua, via Marzolo 9, 35131 Padua (PD), Italy
Andrea Franceschini
Department of Civil, Environmental and Architectural Engineering,
University of Padua, via Marzolo 9, 35131 Padua (PD), Italy
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Lin Zhu, Huili Gong, Zhenxue Dai, Gaoxuan Guo, and Pietro Teatini
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Federico Di Paolo, Barbara Cosciotti, Sebastian E. Lauro, Elisabetta Mattei, Mattia Callegari, Luca Carturan, Roberto Seppi, Francesco Zucca, and Elena Pettinelli
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Preprint retracted
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M. Béjar-Pizarro, P. Ezquerro Martín, G. Herrera, R. Tomás, C. Guardiola-Albert, J. M. Ruiz Hernández, M. Marchamalo Sacristán, and R. Martínez Marín
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C. Zoccarato, D. Baù, F. Bottazzi, M. Ferronato, G. Gambolati, S. Mantica, and P. Teatini
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A. Franceschini, P. Teatini, C. Janna, M. Ferronato, G. Gambolati, S. Ye, and D. Carreón-Freyre
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L. Tosi, T. Strozzi, C. Da Lio, and P. Teatini
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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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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).
S. Ye, Y. Wang, J. Wu, P. Teatini, J. Yu, X. Gong, and G. Wang
Proc. IAHS, 372, 249–253, https://doi.org/10.5194/piahs-372-249-2015, https://doi.org/10.5194/piahs-372-249-2015, 2015
S. Ye, Y. Luo, J. Wu, P. Teatini, H. Wang, and X. Jiao
Proc. IAHS, 372, 443–448, https://doi.org/10.5194/piahs-372-443-2015, https://doi.org/10.5194/piahs-372-443-2015, 2015
G. Isotton, M. Ferronato, G. Gambolati, and P. Teatini
Proc. IAHS, 372, 519–523, https://doi.org/10.5194/piahs-372-519-2015, https://doi.org/10.5194/piahs-372-519-2015, 2015
S. Tessitore, J. A. Fernández-Merodo, G. Herrera, R. Tomás, M. Ramondini, M. Sanabria, J. Duro, J. Mulas, and D. Calcaterra
Proc. IAHS, 372, 425–429, https://doi.org/10.5194/piahs-372-425-2015, https://doi.org/10.5194/piahs-372-425-2015, 2015
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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.
A. C. Mondini, A. Viero, M. Cavalli, L. Marchi, G. Herrera, and F. Guzzetti
Nat. Hazards Earth Syst. Sci., 14, 1749–1759, https://doi.org/10.5194/nhess-14-1749-2014, https://doi.org/10.5194/nhess-14-1749-2014, 2014
M. P. Sanabria, C. Guardiola-Albert, R. Tomás, G. Herrera, A. Prieto, H. Sánchez, and S. Tessitore
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