Multi-scale analysis of settlement-induced building damage using damage surveys and DInSAR data: A case study in The Netherlands

Abstract Highly compressible clayey and peaty (soft) soils may expose structures (e.g. buildings) and infrastructures (e.g. roads and embankments) resting on them to absolute/differential settlements. These latter, with passing of time, can induce damages whose level of severity depends on several factors such as: the spatial distribution of the thickness pertaining to soft soil layers; the groundwater regime; the characteristics of the exposed structures and infrastructures along with their state of maintenance. The analysis of damages and the resulting management of the built-up environment usually require high costs due to the amount of data necessary for setting up reliable forecasting models as well as for defining the most suitable restoration works. This paper presents a multi-scale procedure tailored to analyze the settlement-induced building damage. The selected case study deals with an urban area in The Netherlands where, at medium scale, the role of soft soils in predisposing the occurrence of ground surface settlements is first investigated. Then, at large scale the relationship between cause (i.e. settlements) and effects (i.e. damage) is analyzed for building aggregates via the combination of high-resolution advanced differential interferometric synthetic aperture radar (DInSAR) and in-situ damage survey data. Finally, as main novelty of the proposed multi-scale procedure, both the above datasets are used to generate, at detailed scale, empirical fragility curves for single buildings that, once further validated, could be valuably adopted for damage forecasting purposes in similar urban areas.

[1]  Richard Bamler,et al.  Very High Resolution Spaceborne SAR Tomography in Urban Environment , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[2]  Gianfranco Fornaro,et al.  Four-Dimensional SAR Imaging for Height Estimation and Monitoring of Single and Double Scatterers , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[3]  Daniela Boldini,et al.  Tunnelling-induced landslides: The Val di Sambro tunnel case study , 2015 .

[4]  Davide Notti,et al.  Multi-sensor advanced DInSAR monitoring of very slow landslides: The Tena Valley case study (Central Spanish Pyrenees) , 2013 .

[5]  Dick J. Brus,et al.  Modeling the subsidence of peat soils in the Dutch coastal area , 2012 .

[6]  Nicola Casagli,et al.  Building Deformation Assessment by Means of Persistent Scatterer Interferometry Analysis on a Landslide-Affected Area: The Volterra (Italy) Case Study , 2015, Remote. Sens..

[7]  Mario Costantini,et al.  Persistent Scatterer Pair Interferometry: Approach and Application to COSMO-SkyMed SAR Data , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[8]  Richard Bamler,et al.  Tomographic Imaging and Monitoring of Buildings With Very High Resolution SAR Data , 2011, IEEE Geoscience and Remote Sensing Letters.

[9]  Veronica Tofani,et al.  Persistent Scatterer Interferometry (PSI) Technique for Landslide Characterization and Monitoring , 2013, Remote. Sens..

[10]  Davide Notti,et al.  Landslide Activity Maps Generation by Means of Persistent Scatterer Interferometry , 2013, Remote. Sens..

[11]  P. Vos,et al.  Holocene geology and occupation history of the province of Zeeland , 1997 .

[12]  S. Fotopoulou,et al.  Fragility curves for reinforced concrete buildings to seismically triggered slow-moving slides , 2013 .

[13]  Antonio Iodice,et al.  Assessing the activity of a large landslide in southern Italy by ground-monitoring and SAR interferometric techniques , 2012 .

[14]  Gianfranco Fornaro,et al.  CAESAR: An Approach Based on Covariance Matrix Decomposition to Improve Multibaseline–Multitemporal Interferometric SAR Processing , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[15]  Jordi Corominas,et al.  Vulnerability assessment for reinforced concrete buildings exposed to landslides , 2014, Bulletin of Engineering Geology and the Environment.

[16]  Nicola Casagli,et al.  Localising deformation along the elevation of linear structures: An experiment with space-borne InSAR and RTK GPS on the Roman Aqueducts in Rome, Italy , 2015 .

[17]  Joong-Sun Won,et al.  Dynamic deformation of Seguam Island, Alaska, 1992--2008, from multi-interferogram InSAR processing , 2013 .

[18]  Batuhan Osmanoglu,et al.  Monitoring land subsidence and its induced geological hazard with Synthetic Aperture Radar Interferometry: A case study in Morelia, Mexico , 2012 .

[19]  G. Fornaro,et al.  Geometric and kinematic characterization of landslides affecting urban areas: the Lungro case study (Calabria, Southern Italy) , 2017, Landslides.

[20]  J. Maccabiani,et al.  Investigating building settlements via very high resolution SAR sensors , 2016 .

[21]  Jordi J. Mallorqui,et al.  Validation and comparison of Advanced Differential Interferometry Techniques: Murcia metropolitan area case study , 2009 .

[22]  René K W M Klaassen,et al.  Wooden foundation piles and its underestimated relevance for cultural heritage , 2012 .

[23]  Landslide damage assessment at the intermediate to small scale , 2016 .

[24]  J. Griffioen,et al.  3D geology in a 2D country: perspectives for geological surveying in the Netherlands , 2013, Netherlands Journal of Geosciences - Geologie en Mijnbouw.

[25]  Gianfranco Fornaro,et al.  A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms , 2002, IEEE Trans. Geosci. Remote. Sens..

[26]  Fabiana Calò,et al.  An application of the SBAS-DInSAR technique for the assessment of structural damage in the city of Rome , 2014 .

[27]  W. Z. Savage,et al.  Guidelines for landslide susceptibility, hazard and risk zoning for land-use planning. Commentary , 2008 .

[28]  M. Calvello,et al.  Combined use of statistical and DInSAR data analyses to define the state of activity of slow-moving landslides , 2017, Landslides.

[29]  Thomas Ulrich,et al.  Fragility curves for masonry structures submitted to permanent ground displacements and earthquakes , 2014, Natural Hazards.

[30]  M. Crosetto,et al.  Generation of Advanced ERS and Envisat Interferometric SAR Products Using the Stable Point Network Technique , 2008 .

[31]  Paolo Berardino,et al.  Surface deformation analysis in the Ischia Island (Italy) based on spaceborne radar interferometry , 2006 .

[32]  Gerardo Herrera,et al.  Subsidence activity maps derived from DInSAR data: Orihuela case study , 2013 .

[33]  Olivier Deck,et al.  Development of building vulnerability functions in subsidence regions from empirical methods , 2009 .

[34]  Gianfranco Fornaro,et al.  Potential of SAR for monitoring transportation infrastructures: an analysis with the multi-dimensional imaging technique , 2012 .

[35]  Structural Assessment of Case Study Historical and Modern Buildings in the Florentine Area Based on a PSI-Driven Seismic and Hydrogeological Risk Analysis , 2015 .

[36]  A. Ferretti,et al.  Application of satellite radar interferometry for structural damage assessment and monitoring , 2012 .

[37]  M. Boscardin,et al.  Building Response to Excavation‐Induced Settlement , 1989 .

[38]  R. Hanssen SUBSIDENCE MONITORING USING CONTIGUOUS AND PS-INSAR: QUALITY ASSESSMENT BASED ON PRECISION AND RELIABILITY , 2003 .

[39]  Alessandro Bonforte,et al.  The influence of erosional processes on the visibility of Permanent Scatterers Features from SAR remote sensing on Mount Etna (E Sicily) , 2013 .

[40]  Didier Massonnet,et al.  Two examples of the use of SAR interferometry on displacement fields of small spatial extent , 1996 .

[41]  Alec Westley Skempton,et al.  THE ALLOWABLE SETTLEMENTS OF BUILDINGS. , 1956 .

[42]  Gianfranco Fornaro,et al.  Bridge Thermal Dilation Monitoring With Millimeter Sensitivity via Multidimensional SAR Imaging , 2013, IEEE Geoscience and Remote Sensing Letters.

[43]  Evelyne Foerster,et al.  Parametric studies and quantitative assessment of the vulnerability of a RC frame building exposed to differential settlements , 2010 .

[44]  G. Lange,et al.  An integrated assessment framework for land subsidence in delta cities , 2013 .

[45]  R. Tomás,et al.  Radar interferometry techniques for the study of ground subsidence phenomena: a review of practical issues through cases in Spain , 2013, Environmental Earth Sciences.

[46]  G.A.M. Kruse,et al.  Characterisation and engineering properties of Dutch peats , 2006 .

[47]  Fabio Rocca,et al.  Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry , 2000, IEEE Trans. Geosci. Remote. Sens..

[48]  Olivier Deck,et al.  Development of building vulnerability functions in subsidence regions from analytical methods , 2012 .

[49]  M. Crosetto,et al.  Early detection and in-depth analysis of deformation phenomena by radar interferometry , 2005 .

[50]  Mario Costantini,et al.  A New Method for Identification and Analysis of Persistent Scatterers in Series of SAR Images , 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

[51]  J. Gunnink,et al.  3D modelling of the shallow subsurface of Zeeland, the Netherlands , 2011, Netherlands Journal of Geosciences - Geologie en Mijnbouw.

[52]  Fabiana Calò,et al.  Enhanced landslide investigations through advanced DInSAR techniques: The Ivancich case study, Assisi, Italy , 2014 .

[53]  L. Cascini,et al.  Subsidence monitoring in Sarno urban area via multi‐temporal DInSAR technique , 2006 .

[54]  Fabio Bovenga,et al.  Investigating landslides and unstable slopes with satellite Multi Temporal Interferometry: Current issues and future perspectives , 2014 .

[55]  J. Maccabiani,et al.  Investigating the Behaviour of Buildings with Different Foundation Types on Soft Soils: Two Case Studies in the Netherlands , 2016 .

[56]  G. Fornaro,et al.  Potentialities of the use of spaceborne radar systems in the monitoring of structures and infrastructures , 2014, 2014 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems Proceedings.

[57]  L. Cascini,et al.  DInSAR data assimilation for settlement prediction: case study of a railway embankment in The Netherlands , 2017 .

[58]  Jordi J. Mallorqui,et al.  Mapping ground movements in open pit mining areas using differential SAR interferometry , 2010 .

[59]  Nicola Casagli,et al.  Assessing the safety of schools affected by geo-hydrologic hazards: The geohazard safety classification (GSC) , 2016 .

[60]  Daniele Perissin,et al.  PSInSAR Analysis over the Three Gorges Dam and urban areas in China , 2009, 2009 Joint Urban Remote Sensing Event.

[61]  Jordi J. Mallorqui,et al.  Monitoring an earthfill dam using differential SAR interferometry: La Pedrera dam, Alicante, Spain , 2013 .

[62]  L. Cascini,et al.  A general framework and related procedures for multiscale analyses of DInSAR data in subsiding urban areas , 2015 .

[63]  S. Asselen,et al.  Factors controlling peat compaction in alluvial floodplains: a case study in the cold-temperate cumberland marshes, Canada. , 2010 .

[64]  Gianfranco Fornaro,et al.  Multilook SAR Tomography for 3-D Reconstruction and Monitoring of Single Structures Applied to COSMO-SKYMED Data , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[65]  Kyriazis Pitilakis,et al.  Vulnerability assessment of buildings exposed to coseismic permanent slope displacements , 2015 .

[66]  Gerardo Herrera,et al.  Advanced interpretation of subsidence in Murcia (SE Spain) using A-DInSAR data - modelling and validation , 2009 .

[67]  Fabio Rocca,et al.  Permanent scatterers in SAR interferometry , 2001, IEEE Trans. Geosci. Remote. Sens..

[68]  Daniele Perissin,et al.  Recent advances on surface ground deformation measurement by means of repeated space-borne SAR observations , 2010 .

[69]  Michele Manunta,et al.  Analysis of a subsidence phenomenon via DInSAR data and geotechnical criteria , 2007 .

[70]  D. Raucoules,et al.  Monitoring of slow ground deformation by ERS radar interferometry on the Vauvert salt mine (France): Comparison with ground-based measurement , 2003 .

[71]  Li Min Zhang,et al.  PROBABILISTIC LIMITING TOLERABLE DISPLACEMENTS FOR SERVICEABILITY LIMIT STATE DESIGN OF FOUNDATIONS , 2005 .

[72]  S. L. Kuriakose,et al.  Spatial data for landslide susceptibility, hazard, and vulnerability assessment: An overview , 2008 .

[73]  Michael Eineder,et al.  Potential of very high resolution SAR for persistent scatterer interferometry in urban areas , 2010, Ann. GIS.

[74]  L. Cascini,et al.  Detection and monitoring of facilities exposed to subsidence phenomena via past and current generation SAR sensors , 2013 .

[75]  L. Cascini,et al.  The combination of DInSAR and facility damage data for the updating of slow-moving landslide inventory maps at medium scale , 2013 .

[76]  A. Cooper The classification, recording, databasing and use of information about building damage caused by subsidence and landslides , 2008, Quarterly Journal of Engineering Geology and Hydrogeology.

[77]  Deodato Tapete,et al.  Rating health and stability of engineering structures via classification indexes of InSAR Persistent Scatterers , 2015, Int. J. Appl. Earth Obs. Geoinformation.