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.
Pre-conference publication
| 
22 Apr 2020
Pre-conference publication |
| 22 Apr 2020
| 22 Apr 2020
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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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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Ahmad Ali Behroozmand, Pietro Teatini, Jesper Bjergsted Pedersen, Esben Auken, Omar Tosatto, and Anders Vest Christiansen
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Within the framework of the EU project IMPROWARE, our goal was to investigate a Mediterranean coastal aquifer in Egypt and develop scenarios for artificial aquifer remediation and recharge. The results of an extensive hydrogeophysical investigation were successfully used as an input in regional and local hydrological models to understand the hydrological evolution of the area. The research outcomes clearly highlight the effectiveness of using advanced geophysical and modeling methodologies.
Lin Zhu, Huili Gong, Zhenxue Dai, Gaoxuan Guo, and Pietro Teatini
Hydrol. Earth Syst. Sci., 21, 721–733, https://doi.org/10.5194/hess-21-721-2017, https://doi.org/10.5194/hess-21-721-2017, 2017
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We developed a method to characterize the distribution and variance of the hydraulic conductivity k in a multiple-zone alluvial fan by fusing multiple-source data. Consistently with the scales of the sedimentary transport energy, the k variance of the various facies decreases from the upper to the lower portion along the flow direction. The 3-D distribution of k is consistent with that of the facies. The potentialities of the proposed approach are tested on the Chaobai River megafan, China.
Federico Di Paolo, Barbara Cosciotti, Sebastian E. Lauro, Elisabetta Mattei, Mattia Callegari, Luca Carturan, Roberto Seppi, Francesco Zucca, and Elena Pettinelli
The Cryosphere Discuss., https://doi.org/10.5194/tc-2016-267, https://doi.org/10.5194/tc-2016-267, 2016
Preprint retracted
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Snow water equivalent is an important parameter for hydrological and climate change studies, however its measurement is tedious and time consuming. In this paper we show that it is possible to accurately measure snow water equivalent using electromagnetic methods. During a field campaign we tested the performances of traditional methods vs. those of a Ground Penetrating Radar, founding a very good agreement between the snow water equivalent values computed with the two different methods.
Jose Antonio Ortega-Becerril, Guillermina Garzón, Marta Béjar-Pizarro, and Jose Jesús Martínez-Díaz
Nat. Hazards Earth Syst. Sci., 16, 2273–2286, https://doi.org/10.5194/nhess-16-2273-2016, https://doi.org/10.5194/nhess-16-2273-2016, 2016
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Human-induced changes in semi-arid regions could be responsible for modifications in ephemeral streams. Our results confirm that in-channel gravel mining and aquifer overexploitation over the last 50 years in the study area have changed the natural stability of the Nogalte stream and its geomorphic parameters. A comparison between flood events of the past and a recent one recorded in 2012 reveals changes and a new flooding pattern with a transition from an alluvial to a confined fluvial pattern.
M. Béjar-Pizarro, P. Ezquerro Martín, G. Herrera, R. Tomás, C. Guardiola-Albert, J. M. Ruiz Hernández, M. Marchamalo Sacristán, and R. Martínez Marín
Proc. IAHS, 372, 29–32, https://doi.org/10.5194/piahs-372-29-2015, https://doi.org/10.5194/piahs-372-29-2015, 2015
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We use InSAR time series to infer the temporal evolution of the piezometric level in 19 wells of the Tertiary detritic aquifer of Madrid (TDAM) in the period 1997-2010. Our results suggest that an average elastic storage coefficient Ske of all wells can be used to estimate piezometric level variations in all the points where ground deformation has been measured by InSAR, thus allowing production of piezometric level maps for the different extraction/recovery cycles in the TDAM.
C. Zoccarato, D. Baù, F. Bottazzi, M. Ferronato, G. Gambolati, S. Mantica, and P. Teatini
Proc. IAHS, 372, 351–356, https://doi.org/10.5194/piahs-372-351-2015, https://doi.org/10.5194/piahs-372-351-2015, 2015
A. Franceschini, P. Teatini, C. Janna, M. Ferronato, G. Gambolati, S. Ye, and D. Carreón-Freyre
Proc. IAHS, 372, 63–68, https://doi.org/10.5194/piahs-372-63-2015, https://doi.org/10.5194/piahs-372-63-2015, 2015
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The stress variation induced by overdraft of aquifers in sedimentary basins may cause ground rupture in the form of activation of pre-existing faults or earth fissure generation. The process is severely threatening many areas in China and Mexico. Ruptures yield discontinuity in the displacement and stress fields that classic finite element (FE) models cannot address. We proved how Lagrangian approach provides more stable solutions than Penalty approach.
L. Tosi, T. Strozzi, C. Da Lio, and P. Teatini
Proc. IAHS, 372, 199–205, https://doi.org/10.5194/piahs-372-199-2015, https://doi.org/10.5194/piahs-372-199-2015, 2015
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Eighty regular TerraSAR-X acquisitions over the 2008-2011 period significantly improve the subsidence monitoring at the Venice coastland. Settlements of 30-35 mm/yr have been detected at the three lagoon inlets in correspondence of the MoSE works. The Venice and Chioggia historical centers show local sinking bowls up to 10 mm/yr connected with the construction of new large buildings or restoration works. In the city of Venice, the mean subsidence of 1.1±1.0 mm/yr confirms its general stability.
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
Proc. IAHS, 372, 45–48, https://doi.org/10.5194/piahs-372-45-2015, https://doi.org/10.5194/piahs-372-45-2015, 2015
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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).
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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The implementation of FEM models permits to effectively analyse the cause-effect mechanism of a phenomenon.In the present work, in spite of the limited geotechnical and hydrogeological data available, the model has allowed to qualitatively and “quantitatively” reproduce the subsidence that affects Murcia city. The achieved results have been compared with the displacements estimated through A-DInSAR techniques and measured by the extensometers.This allows a better management of the exploitations.
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
Nat. Hazards Earth Syst. Sci., 14, 1341–1360, https://doi.org/10.5194/nhess-14-1341-2014, https://doi.org/10.5194/nhess-14-1341-2014, 2014
D. Zizioli, C. Meisina, R. Valentino, and L. Montrasio
Nat. Hazards Earth Syst. Sci., 13, 559–573, https://doi.org/10.5194/nhess-13-559-2013, https://doi.org/10.5194/nhess-13-559-2013, 2013
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