Subsidence induced by urbanisation in the city of Rome detected by advanced InSAR technique and geotechnical investigations

Stramondo, Salvatore; Bozzano, Francesca; Marra, Francesco; Wegmüller, U.; Cinti, F. R.; Moro, Marco; Saroli, Michele

doi:10.1016/j.rse.2008.03.008

Cited by 177 publications

(132 citation statements)

References 26 publications

Supporting

Mentioning

113

Contrasting

Unclassified

Order By: Relevance

“…We selected Interferometric Point Target Analysis (IPTA) [32,33] to monitor the ground subsidence of the Guangzhou region. We chose the ASAR image from 29 September 2008 and the PALSAR image from 16 January 2010 as master images to minimize the effects of normal and temporal baselines during processing.…”

Section: Insar Data Processingmentioning

confidence: 99%

Deriving Spatio-Temporal Development of Ground Subsidence Due to Subway Construction and Operation in Delta Regions with PS-InSAR Data: A Case Study in Guangzhou, China

Wang

Feng

et al. 2017

Remote Sensing

View full text Add to dashboard Cite

Abstract:Subways have been an important method for relieving traffic pressures in urban areas, but ground subsidence, during construction and operation, can be a serious problem as it may affect the safety of its operation and that of the surrounding buildings. Thus, conducting long-term ground deformation monitoring and modeling for subway networks are essential. Compared with traditional geodetic methods, the Persistent Scatterer Interferometric Synthetic Aperture Radar (PS-InSAR) technique offers wider coverage and denser measurements along subway lines. In this study, we mapped the surface deformation of the Guangzhou subway network with Advanced Synthetic Aperture Radar (ASAR) and Phased Array Type L-band Synthetic Aperture Radar (PALSAR) data using the Interferometric Point Target Analysis (IPTA) technique. The results indicate that newly excavated tunnels have regional subsidence with an average rate of more than 8 mm/year, as found on Lines Two, Three, Six, and GuangFo (GF). Furthermore, we determined the spatio-temporal subsidence behavior of subways with PALSAR in delta areas using Peck's formula and the logistic time model. We estimated the tunneling-related parameters in soft soil areas, which had not been previously explored. We examined a section of line GF, as an example, to estimate the ground settlement trough development. The results showed the maximum settlement increased from −5.2 mm to −23.6 mm and its ground loss ratio ranged from 1.5-8.7% between 13 July 2008 and 19 January 2011. In addition, we found that the tunnels in line GF will become stable after a period of about 2300 days in peak subsidence areas. The results show that the proposed approach can help explain the dynamic ground subsidence along a metro line. This study can provide references for urban subway projects in delta areas, and for the risk assessment of nearby buildings and underground pipelines along metro lines.

show abstract

Section: Insar Data Processingmentioning

confidence: 99%

Deriving Spatio-Temporal Development of Ground Subsidence Due to Subway Construction and Operation in Delta Regions with PS-InSAR Data: A Case Study in Guangzhou, China

Wang

Feng

et al. 2017

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…2, the full-resolution SBAS-DIn-SAR mean deformation velocity map, superimposed on an optical image of the investigated zone and relevant to the 1992-2010 ERS/ENVISAT time series, is shown; each coloured point represents a coherent pixel (measuring point), while the colour accounts for the mean deformation velocity. As already known (Manunta et al 2008;Stramondo et al 2008;Zeni et al 2011), the most significant deformation phenomena are located along the alluvial plain bordering the Tevere and Aniene rivers and are characterized by an almost linear subsidence trend of about 1 cm/ year (even more, in some zones); they are mainly associated with soil compaction. The soil consolidation is due to the high compressibility level and to the overloads of newly constructed buildings over this area.…”

Section: Introductionmentioning

confidence: 64%

Radar remote sensing from space for surface deformation analysis: present and future opportunities from the new SAR sensor generation

Sansosti

Manunta

Casu

et al. 2015

Rend. Fis. Acc. Lincei

View full text Add to dashboard Cite

This paper discusses, through two selected case studies based on real data, how the availability of the new generation of Synthetic Aperture Radar (SAR) sensors, characterized by reduced revisiting time and improved spatial resolution or coverage, is impacting the exploitation of Differential SAR Interferometry (DInSAR) techniques for the detection and monitoring of deformation phenomena. The presented analysis is carried out using X-band data of the COSMO-SkyMed constellation satellites, as well as C-band data acquired by the Sentinel-1A sensor; furthermore, we compare the achieved results to those based on first-generation ERS-1/2 and ENVISAT satellite data. The first case study shows how the COSMO-SkyMed X-band SAR systems open new opportunities for the detection and monitoring of deformation phenomena at the scale of a single building, even when they are characterized by a rather fast dynamic. The second experiment is based on the Sentinel-1A DInSAR measurements and permits us to envisage new scenarios for deformation analysis of very wide areas. The final discussion is devoted to summarise the lessons learned through the presented case studies and to identify the main future actions needed for a full exploitation of the surface deformation measurement capability provided by the new generation of SAR sensor.

show abstract

“…Because of its high sensitivity to vertical displacement, the InSAR monitoring of the human-induced subsidence phenomenon became one of the main applications (e.g., Massonnet et al, 1997;Fielding et al, 1998;Galloway et al, 1998;Lazecky et al, 2010), especially in urban areas where the number of coherent pixels over time remains high (e.g., Hoffmann et al, 2001;Watson et al, 2002;Stramondo et al, 2008;López-Quiroz et al, 2009;Crosetto et al, 2010;Crosetto et al, 2013). The decorrelation noise results either from a variation of the satellite LOS direction for the two images (different look and squint angles) or from a change of the scatterer position or geometry within the resolution cell.…”

Section: Methodsmentioning

confidence: 99%

“…For the selection of the stable pixels (or PS pixels), Ferretti et al (2001) developed a method based on the variation of the pixel amplitude in a series of numerous interferograms particularly adapted for urban areas and fast displacement rates. Many studies have been focused on land subsidence using the former PS method (e.g., Kim et al, 2007;Stramondo et al, 2008;Cigna et al, 2012;Tung and Hu, 2012). Hooper et al (2004) developed a method based on the spatial correlation of the phase and the amplitude, as well as suitability for natural outcrops and low displacement rates.…”

Section: Methodsmentioning

confidence: 99%

Recent land subsidence caused by the rapid urban development in the Hanoi region (Vietnam) using ALOS InSAR data

Dang

Doubre

Weber

et al. 2014

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. Since the 1990s the land subsidence due to the rapid urbanization has been considered a severely destructive hazard in the center of Hanoi City. Although previous studies and measurements have quantified the subsiding deformation in Hanoi center, no data exist for the newly established districts in the south and the west, where construction development has been most significant and where groundwater pumping has been very intensive over the last decade. With a multi-temporal InSAR approach, we quantify the spatial distribution of the land subsidence in the entire Hanoi urban region using ALOS images over the 2007-2011 period. The map of the mean subsidence velocity reveals that the northern bank of the Red River appears stable, whereas some areas in southern bank are subsiding with a mean vertical rate up to 68.0 mm yr −1 , especially within the three new urban districts of Hoang Mai, Ha Dong -Thanh Xuan and Hoai DucTu Liem. We interpret the spatial distribution of the surface deformation as the combination of the nature of the unsaturated layer, the lowering of groundwater in the aquifers due to pumping withdrawal capacity, the increase of built-up surfaces and the type of building foundation. The piezometric level in Q p aquifer lowers particularly after 2008, whereas the groundwater level in Q h aquifer remains steady, even if it loses its seasonal fluctuation in urban areas and drawdowns in neighboring water production plants. The time evolution deduced from the InSAR time series is consistent with previous leveling data and shows that the lowering rate of the surface slightly decreases till 2008. The analysis of groundwater levels in instrumented wells shows a correlation between the behavior of groundwater with the urban development and the acceleration of groundwater withdrawal. Also, the time variations suggest that the deformation became non-stationary, with upward and downward transient displacements related to the charge and discharge of the aquifers.

show abstract

Subsidence induced by urbanisation in the city of Rome detected by advanced InSAR technique and geotechnical investigations

Cited by 177 publications

References 26 publications

Deriving Spatio-Temporal Development of Ground Subsidence Due to Subway Construction and Operation in Delta Regions with PS-InSAR Data: A Case Study in Guangzhou, China

Deriving Spatio-Temporal Development of Ground Subsidence Due to Subway Construction and Operation in Delta Regions with PS-InSAR Data: A Case Study in Guangzhou, China

Radar remote sensing from space for surface deformation analysis: present and future opportunities from the new SAR sensor generation

Recent land subsidence caused by the rapid urban development in the Hanoi region (Vietnam) using ALOS InSAR data

Contact Info

Product

Resources

About