InSAR data for detection and modelling of overexploitation-induced subsidence: application in the industrial area of Prato (Italy).
Field surveys
GBIS model
InSAR
Sentinel-1
Subsidence
Tuscany
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
02 Aug 2024
02 Aug 2024
Historique:
received:
12
03
2024
accepted:
15
07
2024
medline:
3
8
2024
pubmed:
3
8
2024
entrez:
2
8
2024
Statut:
epublish
Résumé
Spaceborne-based monitoring for environmental purposes has become a well-established practice. The recent progress of synthetic aperture radar (SAR) sensors, including through the European Space Agency's (ESA) Sentinel-1 constellation, has enabled the scientific community to identify and monitor several geohazards, including subsidence ground deformations. A case study in the Tuscany Region, Italy, highlights the effectiveness of interferometric synthetic aperture radar (InSAR) in detecting abrupt increases in ground deformation rates in an industrial area of Montemurlo municipality. In this case, InSAR data enabled prompt identification of the phenomenon, supporting the authorities in charge of environmental management to thoroughly investigate the situation. First, an on-site validation was performed via field surveys confirming the presence of cracks and fissures on some edifices. Further analysis, including water pumping rates, settlement gauge and topographic levelling, corroborated the InSAR data's findings regarding vertical deformation. Integration of collected data allowed for spatial identification and assessment of the subsidence bowl and its source depth recognized by the remote sensing data. The Montemurlo case offers a procedural guideline for managing abrupt accelerations, identified by InSAR data in subsidence-prone areas due to fluid overexploitation. In fact, these data proved useful in helping local authorities responsible for hydrogeomorphological risk management. With the exacerbation of deformation issues in subsidence-prone regions due to climate change, early detection and monitoring of such phenomena are increasingly crucial, with InSAR data playing a central role in achieving this goal.
Identifiants
pubmed: 39095514
doi: 10.1038/s41598-024-67725-z
pii: 10.1038/s41598-024-67725-z
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
17950Informations de copyright
© 2024. The Author(s).
Références
Raspini, F. et al. Review of satellite radar interferometry for subsidence analysis. Earth Sci. Rev. 235, 104239 (2022).
doi: 10.1016/j.earscirev.2022.104239
Crosetto, M. et al. The evolution of wide-area dinsar: From regional and national services to the European ground motion service. Remote Sens. 12, 2043 (2020).
doi: 10.3390/rs12122043
Showstack, R. Sentinel satellites initiate new era in earth observation. Eos Trans. Am. Geophys. Union 95, 239–240 (2014).
doi: 10.1002/2014EO260003
Torres, R. et al. GMES Sentinel-1 mission. Remote Sens. Environ. 120, 9–24 (2012).
doi: 10.1016/j.rse.2011.05.028
Crosetto, M., Monserrat, O., Cuevas-González, M., Devanthéry, N. & Crippa, B. Persistent scatterer interferometry: A review. ISPRS J. Photogramm. Remote Sens. 115, 78–89 (2016).
doi: 10.1016/j.isprsjprs.2015.10.011
Ferretti, A., Prati, C. & Rocca, F. Permanent scatterers in SAR interferometry. IEEE Trans. Geosci. Remote Sens. 39, 8–20 (2001).
doi: 10.1109/36.898661
Galloway, D. L. & Burbey, T. J. Regional land subsidence accompanying groundwater extraction. Hydrogeol. J. 19, 1459–1486 (2011).
doi: 10.1007/s10040-011-0775-5
Galloway, D. L. & Burbey, T. J. Review: Regional land subsidence accompanying groundwater extraction. Hydrogeol. J. 19, 1459–1486. https://doi.org/10.1007/s10040-011-0775-5 (2011).
doi: 10.1007/s10040-011-0775-5
Da Lio, C., Teatini, P., Strozzi, T. & Tosi, L. Understanding land subsidence in salt marshes of the Venice Lagoon from SAR interferometry and ground-based investigations. Remote Sens. Environ. 205, 56–70 (2018).
doi: 10.1016/j.rse.2017.11.016
Stramondo, S. et al. Subsidence induced by urbanisation in the city of Rome detected by advanced InSAR technique and geotechnical investigations. Remote Sens. Environ. 112, 3160–3172. https://doi.org/10.1016/j.rse.2008.03.008 (2008).
doi: 10.1016/j.rse.2008.03.008
Comerci, V. & Vittori, E. The need for a standardized methodology for quantitative assessment of natural and anthropogenic land subsidence: The Agosta (Italy) gas field case. Remote Sens. 11, 19. https://doi.org/10.3390/rs11101178 (2019).
doi: 10.3390/rs11101178
Benetatos, C. et al. Multidisciplinary analysis of ground movements: An underground gas storage case study. Remote Sens. 12, 19. https://doi.org/10.3390/rs12213487 (2020).
doi: 10.3390/rs12213487
Terranova, C., Ventura, G. & Vilardo, G. Multiple causes of ground deformation in the Napoli metropolitan area (Italy) from integrated persistent scatterers DinSAR, geological, hydrological, and urban infrastructure data. Earth Sci. Rev. 146, 105–119. https://doi.org/10.1016/j.earscirev.2015.04.001 (2015).
doi: 10.1016/j.earscirev.2015.04.001
Galloway, D. L., Jones, D. R. & Ingebritsen, S. E. Land Subsidence in the United States (US Geological Survey, 1999).
doi: 10.3133/cir1182
Bitelli, G., Bonsignore, F. & Unguendoli, M. Levelling and GPS networks to monitor ground subsidence in the Southern Po valley. J. Geodyn. 30, 355–369 (2000).
doi: 10.1016/S0264-3707(99)00071-X
Psimoulis, P., Ghilardi, M., Fouache, E. & Stiros, S. Subsidence and evolution of the Thessaloniki plain, Greece, based on historical leveling and GPS data. Eng. Geol. 90, 55–70 (2007).
doi: 10.1016/j.enggeo.2006.12.001
Baldi, P., Casula, G., Cenni, N., Loddo, F. & Pesci, A. GPS-based monitoring of land subsidence in the Po Plain (Northern Italy). Earth Planet. Sci. Lett. 288, 204–212 (2009).
doi: 10.1016/j.epsl.2009.09.023
Solari, L. et al. From ERS 1/2 to Sentinel-1: Subsidence monitoring in Italy in the last two decades. Front. Earth Sci. 6, 149 (2018).
doi: 10.3389/feart.2018.00149
Festa, D. et al. Nation-wide mapping and classification of ground deformation phenomena through the spatial clustering of P-SBAS InSAR measurements: Italy case study. ISPRS J. Photogramm. Remote Sens. 189, 1–22 (2022).
doi: 10.1016/j.isprsjprs.2022.04.022
Montuori, A. et al. Application and analysis of geodetic protocols for monitoring subsidence phenomena along on-shore hydrocarbon reservoirs. Int. J. Appl. Earth Obs. Geoinf. 69, 13–26. https://doi.org/10.1016/j.jag.2018.02.011 (2018).
doi: 10.1016/j.jag.2018.02.011
Cianflone, G., Tolomei, C., Brunori, C. A. & Dominici, R. InSAR time series analysis of natural and anthropogenic coastal plain subsidence: The case of Sibari (Southern Italy). Remote Sens. 7, 16004–16023. https://doi.org/10.3390/rs71215812 (2015).
doi: 10.3390/rs71215812
Bianchini, S. & Moretti, S. Analysis of recent ground subsidence in the Sibari plain (Italy) by means of satellite SAR interferometry-based methods. Int. J. Remote Sens. 36, 4550–4569 (2015).
doi: 10.1080/01431161.2015.1084433
Ezquerro, P. et al. Vulnerability assessment of buildings due to land subsidence using InSAR data in the ancient historical city of Pistoia (Italy). Sensors 20, 2749 (2020).
pubmed: 32408501
pmcid: 7294418
doi: 10.3390/s20102749
Ceccatelli, M. et al. Numerical modelling of land subsidence related to groundwater withdrawal in the Firenze–Prato–Pistoia basin (central Italy). Hydrogeol. J. 29, 629–649 (2021).
doi: 10.1007/s10040-020-02255-2
Collados-Lara, A.-J., Pulido-Velazquez, D., Mateos, R. M. & Ezquerro, P. Potential impacts of future climate change scenarios on ground subsidence. Water 12, 219 (2020).
doi: 10.3390/w12010219
Bagheri-Gavkosh, M. et al. Land subsidence: A global challenge. Sci. Total Environ. 778, 146193 (2021).
pubmed: 33725610
doi: 10.1016/j.scitotenv.2021.146193
Raspini, F. et al. Continuous, semi-automatic monitoring of ground deformation using Sentinel-1 satellites. Sci. Rep. https://doi.org/10.1038/s41598-018-25369-w (2018).
doi: 10.1038/s41598-018-25369-w
pubmed: 29740009
pmcid: 5940901
Confuorto, P. et al. Sentinel-1-based monitoring services at regional scale in Italy: State of the art and main findings. Int. J. Appl. Earth Obs. Geoinf. 102, 102448 (2021).
Del Soldato, M. et al. Monitoring ground instabilities using SAR satellite data: A practical approach. ISPRS Int. J. GeoInf. 8, 307 (2019).
doi: 10.3390/ijgi8070307
Raspini, F. et al. Persistent scatterers continuous streaming for landslide monitoring and mapping: The case of the Tuscany region (Italy). Landslides 16, 2033–2044 (2019).
doi: 10.1007/s10346-019-01249-w
Capecchi, F., Guazzone, G. & Pranzini, G. Il bacino lacustre di Firenze–Prato–Pistoia; geologia del sottosuolo e ricostruzione evolutiva. Boll. Della Soc. Geol. Ital. 94, 637–660 (1975).
Colombo D, Farina P, Moretti S, Nico G, Prati C. In Geoscience and Remote Sensing Symposium, 2003 IGARSS'03 Proceedings. 2003 IEEE International. 2927–2929. IEEE. (2003).
Canuti, P. et al. Analisi dei fenomeni di subsidenza nel bacino del fiume Arno mediante interferometria radar. G. Geol. Appl. 4, 131–136 (2006).
Rosi, A. et al. Subsidence mapping at regional scale using persistent scatters interferometry (PSI): The case of Tuscany region (Italy). Int. J. Appl. Earth Obs. Geoinf. 52, 328–337 (2016).
Del Soldato, M., Farolfi, G., Rosi, A., Raspini, F. & Casagli, N. Subsidence evolution of the Firenze–Prato–Pistoia Plain (Central Italy) combining PSI and GNSS Data. Remote Sens. 10, 1146 (2018).
doi: 10.3390/rs10071146
Carmignani, L., Conti, P., Cornamusini, G. & Pirro, A. Geological map of Tuscany (Italy). J. Maps 9, 487–497 (2013).
doi: 10.1080/17445647.2013.820154
Liu, F. et al. First onset of unrest captured at Socompa: A recent geodetic survey at Central Andean volcanoes in Northern Chile. Geophys. Res. Lett. 50, e2022GL102480 (2023).
doi: 10.1029/2022GL102480
Meng, Z. et al. Time series surface deformation of changbaishan volcano based on sentinel-1B SAR data and its geological significance. Remote Sens. 14, 1213 (2022).
doi: 10.3390/rs14051213
Tamburini-Beliveau, G. et al. Assessment of ground deformation and seismicity in two areas of intense hydrocarbon production in the Argentinian Patagonia. Sci. Rep. 12, 19198 (2022).
pubmed: 36357519
pmcid: 9649598
doi: 10.1038/s41598-022-23160-6
Duan, H., Chen, J., Zhang, S., Wu, X. & Chu, Z. Coseismic fault slip inversion of the 2013 Lushan Ms 7.0 earthquake based on the triangular dislocation model. Sci. Rep. 12, 3514 (2022).
pubmed: 35241753
pmcid: 8894361
doi: 10.1038/s41598-022-07458-z
Szűcs, E. et al. Evolution of surface deformation related to salt-extraction-caused sinkholes in Solotvyno (Ukraine) revealed by Sentinel-1 radar interferometry. Nat. Hazards Earth Syst. Sci. 21, 977–993 (2021).
doi: 10.5194/nhess-21-977-2021
Kim, J., Lin, S.-Y., Singh, R. P., Lan, C.-W. & Yun, H.-W. Underground burning of Jharia coal mine (India) and associated surface deformation using InSAR data. Int. J. Appl. Earth Obs. Geoinf. 103, 102524 (2021).
Bagnardi, M. & Hooper, A. Inversion of surface deformation data for rapid estimates of source parameters and uncertainties: A Bayesian approach. Geochem. Geophys. Geosyst. 19, 2194–2211 (2018).
doi: 10.1029/2018GC007585
Mogi, K. Relations between the eruptions of various volcanoes and the deformations of the ground surfaces around them. Bull. Earthq. Res. Inst. 36, 99–134 (1958).
Righini, G., Raspini, F., Moretti, S. & Cigna, F. Unsustainable use of groundwater resources in agricultural and urban areas: A persistent scatterer study of land subsidence at the basin scale. WIT Trans. Ecol. Environ. 144, 81–92 (2011).
doi: 10.2495/ECO110071
Canova, F., Tolomei, C., Salvi, S., Toscani, G. & Seno, S. Land subsidence along the Ionian coast of SE Sicily (Italy), detection and analysis via small baseline subset (SBAS) multitemporal differential SAR interferometry. Earth Surf. Process. Landf. 37, 273–286 (2012).
doi: 10.1002/esp.2238
Trasatti, E. et al. The 2004–2006 uplift episode at Campi Flegrei caldera (Italy): Constraints from SBAS‐DInSAR ENVISAT data and Bayesian source inference. Geophys. Res. Lett. 35, 7 (2008).
doi: 10.1029/2007GL033091
Ventura, G., Vilardo, G., & Sepe, V. Monitoring and structural significance of ground deformations at Campi Flegrei supervolcano (Italy) from the combined 2D and 3D analysis of PS-InSAR, geophysical, geological and structural data. In 6th International Symposium on Digital Earth (2009).
Samsonov, S. V. et al. Rapidly accelerating subsidence in the Greater Vancouver region from two decades of ERS-ENVISAT-RADARSAT-2 DInSAR measurements. Remote Sens. Environ. 143, 180–191. https://doi.org/10.1016/j.rse.2013.12.017 (2014).
doi: 10.1016/j.rse.2013.12.017
Meisina, C., Zucca, F., Fossati, D., Ceriani, M. & Allievi, J. Ground deformation monitoring by using the permanent scatterers technique: The example of the Oltrepo Pavese (Lombardia, Italy). Eng. Geol. 88, 240–259 (2006).
doi: 10.1016/j.enggeo.2006.09.010
Zhou, L. et al. Wuhan surface subsidence analysis in 2015–2016 based on Sentinel-1A data by SBAS-InSAR. Remote Sens. 9, 982 (2017).
doi: 10.3390/rs9100982
Keiding, M., Arnadottir, T., Jonsson, S., Decriem, J. & Hooper, A. Plate boundary deformation and man-made subsidence around geothermal fields on the Reykjanes Peninsula, Iceland. J. Volcanol. Geotherm. Res. 194, 139–149. https://doi.org/10.1016/j.jvolgeores.2010.04.011 (2010).
doi: 10.1016/j.jvolgeores.2010.04.011
Parks, M. et al. Deformation due to geothermal exploitation at Reykjanes, Iceland. J. Volcanol. Geotherm. Res. 391, 12. https://doi.org/10.1016/j.jvolgeores.2018.08.016 (2020).
doi: 10.1016/j.jvolgeores.2018.08.016
Rouyet, L., Lauknes, T. R., Christiansen, H. H., Strand, S. M. & Larsen, Y. Seasonal dynamics of a permafrost landscape, Adventdalen, Svalbard, investigated by InSAR. Remote Sens. Environ. 231, 17. https://doi.org/10.1016/j.rse.2019.111236 (2019).
doi: 10.1016/j.rse.2019.111236
Antonova, S. et al. Thaw subsidence of a yedoma landscape in northern Siberia, measured in situ and estimated from TerraSAR-X interferometry. Remote Sens. 10, 494 (2018).
doi: 10.3390/rs10040494
Teatini, P. et al. Mapping regional land displacements in the Venice coastland by an integrated monitoring system. Remote Sens. Environ. 98, 403–413 (2005).
doi: 10.1016/j.rse.2005.08.002
Baek, W. K., Jung, H. S., Jo, M. J., Lee, W. J. & Zhang, L. Ground subsidence observation of solid waste landfill park using multi-temporal radar interferometry. Int. J. Urban Sci. 23, 406–421. https://doi.org/10.1080/12265934.2018.1468275 (2019).
doi: 10.1080/12265934.2018.1468275
Gido, N. A., Bagherbandi, M. & Nilfouroushan, F. Localized subsidence zones in Gävle City detected by sentinel-1 PSI and leveling data. Remote Sens. 12, 2629. https://doi.org/10.3390/rs12162629 (2020).
doi: 10.3390/rs12162629
Haji-Aghajany, S. & Amerian, Y. Atmospheric phase screen estimation for land subsidence evaluation by InSAR time series analysis in Kurdistan. Iran. J. Atmos. Sol. Terr. Phys. 205, 8. https://doi.org/10.1016/j.jastp.2020.105314 (2020).
doi: 10.1016/j.jastp.2020.105314
Bar, S., Kumari, B, Gupta, S. K. Salinization of coastal groundwater resource in the perspective of climate change. Fate Transport of Subsurface Pollutants, 24, 315–326 (2021).
doi: 10.1007/978-981-15-6564-9_17
Cassardo, C. & Jones, J. A. A. Managing water in a changing world. Water 3, 618–628 (2011).
doi: 10.3390/w3020618
Gain, A. K., Giupponi, C. & Renaud, F. G. Climate change adaptation and vulnerability assessment of water resources systems in developing countries: A generalized framework and a feasibility study in Bangladesh. Water 4, 345–366 (2012).
doi: 10.3390/w4020345
Fibbi, G., Beni, T., Fanti, R. & Del Soldato, M. Underground gas storage monitoring using free and open source InSAR Data: A case study from Yela (Spain). Energies 16, 6392 (2023).
doi: 10.3390/en16176392
Crosetto, M. & Solari, L. Satellite Interferometry Data Interpretation and Exploitation: Case Studies from the European Ground Motion Service (EGMS) 63–87 (Elsevier, 2023).
doi: 10.1016/B978-0-443-13397-8.00003-0
Gambolati, G. & Teatini, P. Geomechanics of subsurface water withdrawal and injection. Water Resourc. Res. 51, 3922–3955 (2015).
doi: 10.1002/2014WR016841
Xu, Y.-S., Ma, L., Shen, S.-L. & Sun, W.-J. Evaluation of land subsidence by considering underground structures that penetrate the aquifers of Shanghai, China. Hydrogeol. J. 20, 1623 (2012).
doi: 10.1007/s10040-012-0892-9
Schmidt, C. Alarm over a sinking delta. Science. 348, 845–846. https://doi.org/10.1126/science.348.6237.845 (2015).
Ferretti, A. et al. A new algorithm for processing interferometric data-stacks: SqueeSAR. IEEE Trans. Geosci. Remote Sens. 49, 3460–3470 (2011).
doi: 10.1109/TGRS.2011.2124465
Notti, D. et al. A methodology for improving landslide PSI data analysis. Int. J. Remote Sens. 35, 2186–2214. https://doi.org/10.1080/01431161.2014.889864 (2014).
doi: 10.1080/01431161.2014.889864
Shepard D. A two-dimensional interpolation function for irregularly-spaced data. In Proceedings of the 1968 23rd ACM national conference. 517–524 (1968).
Bartier, P. M. & Keller, C. P. Multivariate interpolation to incorporate thematic surface data using inverse distance weighting (IDW). Comput. Geosci. 22, 795–799 (1996).
doi: 10.1016/0098-3004(96)00021-0
Henriques, M. J., Casaca, J. In (eds. Lourenço, P. B., Roca, P.) Monitoring vertical displacements by means of geometric levelling. Procedings of the 3rd International Seminar on Historical Constructions. 403–412. (Universidade do Minho, 2001).
Receveur, M., Sigmundsson, F., Drouin, V. & Parks, M. Ground deformation due to steam cap processes at Reykjanes, SW-Iceland: Effects of geothermal exploitation inferred from interferometric analysis of Sentinel-1 images 2015–2017. Geophys. J. Int. 216, 2183–2212 (2019).
doi: 10.1093/gji/ggy540
Vajedian, S. et al. Coseismic deformation field of the Mw 7.3 12 November 2017 Sarpol-e Zahab (Iran) earthquake: A decoupling horizon in the northern Zagros Mountains inferred from InSAR observations. Remote Sens. 10, 1589 (2018).
doi: 10.3390/rs10101589
Yang, C. et al. Co-and post-seismic deformation mechanisms of the MW 7.3 Iran earthquake (2017) revealed by Sentinel-1 InSAR observations. Remote Sens. 11, 418 (2019).
doi: 10.3390/rs11040418