Natural surface rebound of the Bangkok plain and aquifer characterization by persistent scatterer interferometry

Ishitsuka, Kazuya; Fukushima, Yo; Tsuji, Takeshi; Yamada, Yasuhiro; Matsuoka, Toshifumi; Giao, Pham Huy

doi:10.1002/2013gc005154

Cited by 27 publications

(11 citation statements)

References 32 publications

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“…Major InSAR time-series analysis methods, such as the small baseline subset (SBAS) approach (Berardino et al 2002), persistent scatterer InSAR (PS-InSAR) technique (Ferretti et al 2001), and a combination of the two (Hooper 2008), were originally applied to derive small displacements such as inter-seismic deformation (e.g., Takada et al 2018) and land subsidence (e.g., Ishitsuka et al 2014). These methods are useful for identifying not only linear trends of surface displacement but also cyclic trends (seasonal changes) using fitting trigonometric functions and inversion algorithms.…”

Section: Separating Seasonal and Inter-annual Changes In Surface Subsmentioning

confidence: 99%

Surface displacement revealed by L-band InSAR analysis in the Mayya area, Central Yakutia, underlain by continuous permafrost

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Iwahana

Efremov

et al. 2020

Earth Planets Space

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Recent increases in global temperature have stimulated permafrost degradation associated with landform deformation caused by the melting of excess ground ice (thermokarst). Central Yakutia is underlain by ice-rich continuous permafrost, and there are complicated permafrost-related features in forested and deforested areas. This situation makes thermokarst monitoring necessary over a wide area to achieve a better understanding of its dynamics. As a case study, we applied L-band InSAR analysis to map surface subsidence due to thermokarst in this area and to demonstrate the suitability of L-band SAR for such monitoring. Our results show that InSAR detected subsidence/uplift signals in deforested areas and alasses; whereas, there were few ground deformation signals in forested areas with middle coherence. The InSAR stacking process, including both seasonal and inter-annual displacements, showed subsidence in deforested areas during 2007–2010 and 2015–2018, in the range of 0.5–3 cm yr−1. We also estimated the inter-annual subsidence to be up to 2 cm yr−1 during 2015–2018, using InSAR pairs that spanned the same seasonal interval but in different years. The magnitude of subsidence and the spatial patterns are qualitatively reasonable as thermokarst subsidence compared to observations using field surveys and high-resolution optical images. L-band InSAR was effective in maintaining coherence over a long period for a partially forested thermokarst-affected area, which resulted in deriving the inter-annual subsidence by the stacking using four interferograms. The advantage of the persistent coherence in L-band InSAR is crucial to better understand thermokarst processes in permafrost regions.

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Section: Separating Seasonal and Inter-annual Changes In Surface Subsmentioning

confidence: 99%

Surface displacement revealed by L-band InSAR analysis in the Mayya area, Central Yakutia, underlain by continuous permafrost

Abe

Iwahana

Efremov

et al. 2020

Earth Planets Space

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“…Physically, persistent scatterers typically correspond to manmade structures or bare (i.e., unvegetated) surfaces. Therefore, urban areas, which represent typical surfaces in the area of interest, are suitable target areas for PSI analysis (e.g., Ishitsuka et al 2014). PSI studies have detected surface displacements with millimeter accuracy using TerraSAR-X data (e.g., Crosetto et al 2016).…”

Section: Methodsmentioning

confidence: 99%

Ground uplift related to permeability enhancement following the 2011 Tohoku earthquake in the Kanto Plain, Japan

Ishitsuka

Matsuoka

Nishimura

et al. 2017

Earth Planets Space

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We investigated the post-seismic surface displacement of the 2011 Tohoku earthquake around the Kanto Plain (including the capital area of Japan), which is located approximately 400 km from the epicenter, using a global positioning system network during 2005-2015 and persistent scatterer interferometry of TerraSAR-X data from March 2011 to November 2012. Uniform uplift owing to viscoelastic relaxation and afterslip on the plain has been reported previously. In addition to the general trend, we identified areas where the surface displacement velocity was faster than the surrounding areas, as much as ~7 mm/year for 3 years after the earthquake and with a velocity decay over time. Local uplift areas were ~30 × 50 km 2 and showed a complex spatial distribution with an irregular shape. Based on an observed groundwater level increase, we deduce that the local ground uplift was induced by a permeability enhancement and a pore pressure increase in the aquifer system, which is attributable to mainshock vibration.

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“…On the other hand, InSAR time series can provide useful information about anomalies probably associated with processes such as fracturing activity or related to an elastic aquifer's response (e.g., [51][52][53]). Nonetheless, a manual evaluation of the time series in the entire area result impractical considering the density of stable-phase pixels (more than 55,000 for an area of approximately 900 km 2 ).…”

Section: Methodology For Fracturing Zonation Based On Insar Time Serimentioning

confidence: 99%

Long Term Subsidence Analysis and Soil Fracturing Zonation Based on InSAR Time Series Modelling in Northern Zona Metropolitana del Valle de Mexico

et al. 2015

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Abstract:In this study deformation processes in northern Zona Metropolitana del Valle de Mexico (ZMVM) are evaluated by means of advanced multi-temporal interferometry. ERS and ENVISAT time series, covering approximately an 11-year period (between 1999 and 2010), were produced showing mainly linear subsidence behaviour for almost the entire area under study, but increasing rates that reach up to 285 mm/yr. Important non-linear deformation was identified in certain areas, presumably suggesting interaction between subsidence and other processes. Thus, a methodology for identification of probable fracturing zones based on discrimination and modelling of the non-linear (quadratic function) component is presented. This component was mapped and temporal subsidence evolution profiles were constructed across areas where notable acceleration (maximum of 8 mm/yr 2 ) or deceleration (maximum of −9 mm/yr 2 ) is found. This methodology enables location of potential soil fractures that could impact relevant infrastructure such as the Tunel Emisor Oriente (TEO) (along the structure rates exceed 200 mm/yr). Additionally, subsidence OPEN ACCESSRemote Sens. 2015, 7 6909 behaviour during wet and dry seasons is tackled in partially urbanized areas. This paper provides useful information for geological risk assessment in the area.

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Natural surface rebound of the Bangkok plain and aquifer characterization by persistent scatterer interferometry

Cited by 27 publications

References 32 publications

Surface displacement revealed by L-band InSAR analysis in the Mayya area, Central Yakutia, underlain by continuous permafrost

Surface displacement revealed by L-band InSAR analysis in the Mayya area, Central Yakutia, underlain by continuous permafrost

Ground uplift related to permeability enhancement following the 2011 Tohoku earthquake in the Kanto Plain, Japan

Long Term Subsidence Analysis and Soil Fracturing Zonation Based on InSAR Time Series Modelling in Northern Zona Metropolitana del Valle de Mexico

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