Mexico City subsidence observed with persistent scatterer InSAR

Osmanoǧlu, Batuhan; Dixon, Timothy H.; Wdowinski, S.; Cabral‐Cano, E.; Jiang, Yan

doi:10.1016/j.jag.2010.05.009

Cited by 277 publications

(219 citation statements)

References 20 publications

(21 reference statements)

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“…In flat areas, increasing subsidence can be associated with more frequent and longer inundations of land close to water bodies. In urban areas, localized differential ground settling can trigger building damage (Cigna et al, 2012;Osmanoglu, Dixon, Wdowinski, Cabral-Cano, & Jiang, 2011), loss of structure functionality and wellcasing failure. In addition to conventional geodetic monitoring systems (e.g., GPS, levelling benchmarks), Earth Observation techniques have demonstrated, in recent years, their effectiveness in measuring land motion in a wide range of application fields.…”

Section: Introductionmentioning

confidence: 99%

Multi-temporal mapping of land subsidence at basin scale exploiting Persistent Scatterer Interferometry: case study of Gioia Tauro plain (Italy)

2012

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Section: Introductionmentioning

confidence: 99%

Multi-temporal mapping of land subsidence at basin scale exploiting Persistent Scatterer Interferometry: case study of Gioia Tauro plain (Italy)

2012

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“…levelling surveys, GPS surveys, and InSAR technique) (e.g. Abidin 2005;Cabral-Cano et al 2008;Osmanoglu et al 2011;Yan et al 2012), and advances in high resolution flood modelling techniques (Sampson et al 2012) have enabled the numerical modelling of dynamic urban pluvial flood risks in the context of land subsidence.…”

Section: Introductionmentioning

confidence: 99%

Modelling the impact of land subsidence on urban pluvial flooding: A case study of downtown Shanghai, China

Yin

Wilby

2016

Science of The Total Environment

121

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This paper presents a numerical analysis of pluvial flooding to evaluate the impact of land subsidence on flood risks in urban contexts using a hydraulic model (FloodMap-HydroInundation2D). The pluvial flood event of August 2011 in Shanghai, China is used for model calibration and simulation. Evolving patterns of inundation (area and depth)are assessed over four time periods (1991, 1996, 2001 and 2011) for the downtown area, given local changes in topography and rates of land subsidence of up to 27 mm/yr. The results show that land subsidence can lead to non-linear response of flood characteristics. However, the impact on flood depths is generally minor (< 5cm) and limited to areas with lowest-lying topographies because of relatively uniform patterns of subsidence and micro-topographic variations at the local scale. Nonetheless, the modelling approach tested here may be applied to other cities where there are more marked rates of subsidence and/or greater heterogeneity in the depressed urban surface. In these cases, any identified hot-spots of subsidence and focusing of pluvial flooding may be targeted for adaptation interventions.

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“…MT-InSAR has been successfully and extensively used in monitoring the deformations Remote Sens. 2017, 9, 1129 2 of 22 induced by exploitation of underground fluids, such as groundwater [7,[14][15][16][17][18][19][20][21], oil [22][23][24][25][26][27][28][29][30][31], natural gas [14,30,[32][33][34][35][36][37], and geothermal [38][39][40][41][42][43][44][45], because of its low cost, wide spatial coverage, high measurement precision, and fine spatial resolution. However, MT-InSAR can capture only one-dimensional (1-D) time-series deformation that includes the sum of projections on the line-of-sight (LOS) direction of actual 3-D time series ground deformations.…”

Section: Introductionmentioning

confidence: 99%

Deriving 3-D Time-Series Ground Deformations Induced by Underground Fluid Flows with InSAR: Case Study of Sebei Gas Fields, China

Liu

Sun

et al. 2017

Remote Sensing

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Multi-temporal Interferometric Synthetic Aperture Radar (MT-InSAR) technique has proven to be a powerful tool for the monitoring of time-series ground deformations along the line-of-sight (LOS) direction. However, the one-dimensional (1-D) measurements cannot provide comprehensive information for interpreting the related geo-hazards. Recently, a novel method has been proposed to map the three-dimensional (3-D) deformation associated with underground fluid flows based on single-track InSAR LOS measurements and the deformation modeling associated with the Green's function. In this study, the method is extended in temporal domain by exploiting the MT-InSAR measurements, and applied for the first time to investigate the 3-D time series deformation over Sebei gas field in Qinghai, Northwest China with 37 Sentinel-1 images acquired during October 2014-July 2017. The estimated 3-D time series deformations provide a more complete view of ongoing deformation processes as compared to the 1-D time series deformations or the 3-D deformation velocities, which is of great importance for assessing the possible geohazards. In addition, the extended method allows for the retrieval of time series of fluid volume changes due to the gas extraction in the Sebei field, which agrees well with those from the PetroChina Qinghai Oilfield Company Yearbooks (PQOCYs). This provides a new way to study the variations of subsurface fluids at unprecedented resolution.

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Mexico City subsidence observed with persistent scatterer InSAR

Cited by 277 publications

References 20 publications

Multi-temporal mapping of land subsidence at basin scale exploiting Persistent Scatterer Interferometry: case study of Gioia Tauro plain (Italy)

Multi-temporal mapping of land subsidence at basin scale exploiting Persistent Scatterer Interferometry: case study of Gioia Tauro plain (Italy)

Modelling the impact of land subsidence on urban pluvial flooding: A case study of downtown Shanghai, China

Deriving 3-D Time-Series Ground Deformations Induced by Underground Fluid Flows with InSAR: Case Study of Sebei Gas Fields, China

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