Interseismic strain accumulation across the North Tabriz Fault (NW Iran) deduced from InSAR time series

Karimzadeh, Sadra; Çakır, Ziyadin; Osmanoǧlu, Batuhan; Schmalzle, G. M.; Miyajima, Masakatsu; Amiraslanzadeh, Reza; Djamour, Y.

doi:10.1016/j.jog.2013.02.003

Cited by 54 publications

(40 citation statements)

References 37 publications

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“…The zero deformation point for the relative LOS map was extracted by the following reasons: (1) it is selected somewhere in east of the Tabriz basin, away from the land subsidence patterns, (2) it is selected based on high coherence values in the produced inerferograms and (3) it is selected based on the previous InSAR and GPS velocity map of the region suggested by Rizza et al (2013). The dark blue PSs are abundant at the north block of the North Tabriz Fault, associated with interseismic slip rate of the fault (Karimzadeh et al 2013;Rizza et al 2013). Two profiles with 2 km PS sampling width in the TB are drawn from north to south, perpendicular to the North Tabriz fault as a major tectonic feature of the study region.…”

Section: Insar and Water Level Resultsmentioning

confidence: 99%

Characterization of land subsidence in Tabriz basin (NW Iran) using InSAR and watershed analyses

Karimzadeh

2015

Acta Geod Geophys

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Iran as a semi-arid and arid country has a serious water challenge in the recent decades. While water demand is increasing, as a consequence, land subsidence due to excessive water extraction is happening in major basins of the country. Recently the land subsidence has been proposed as an environmental problem in the country and thus important projects on this matter have been conducted. For example several basins in the country have been studied using SAR data and their result had a great deal on water management section. This paper studies the large-scale immature land subsidence in the Tabriz basin (NW Iran) using the permanent scatterer synthetic aperture radar interferometry technique with the small baseline InSAR approach and watershed analysis. InSAR time series analysis of 17 Envisat advanced SAR images between 2003 and 2010 reveals three oval-shaped regions of subsidence. The recognized water wells in the study area are categorized into two groups (sub-basin 1 and 2) based on watershed analysis in the TB and are compared with InSAR results. InSAR time series from Kriging interpolation method are also compared with GPS time series of permanent TABZ station which suggests that the land subsidence only is growing in the basin far away from the Tabriz city.

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Section: Insar and Water Level Resultsmentioning

confidence: 99%

Characterization of land subsidence in Tabriz basin (NW Iran) using InSAR and watershed analyses

Karimzadeh

2015

Acta Geod Geophys

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“…Continuous GPS stations are indicated with black squares at vector tails. Black-dashed square shows the frame of the SAR images studied, covering major part of the Tabriz basin and the NTF (Karimzadeh et al, 2013). (Teza et al 2008):…”

Section: Calculate the 3d Earth Surface Displacement Fieldmentioning

confidence: 99%

Estimation of north Tabriz fault parameters using neural networks and 3D tropospherically corrected surface displacement field

Haji-Aghajany

Voosoghi

Yazdian

2017

Geomatics, Natural Hazards and Risk

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In this paper, parameters of north Tabriz fault are studied using 3D displacement field and artificial neural networks (ANNs). We provide the 3D surface displacement along the north Tabriz fault using an integration of tropospherically corrected InSAR, GPS and precise levelling data. To perform the InSAR analysis, we use the 17 ENVISAT radar acquisitions. The line of sight (LOS) displacement field was corrected using the ERA-Interim global meteorological reanalysis models. In order to calculate the 3D displacement, we use a Simultaneous and Integrated Strain Tensor Estimation from Geodetic and Satellite Deformation Measurements approach. ANNs used to estimate the parameters. 3D displacement field and ANN algorithm yields an average slip rate of 6.1 § 0.01 mm/year with a locking depth of 13.4 § 0.01 km. This rate is consistent with previous geodetic estimates based on recent global positioning system measurements and InSAR analysis. In addition, the length, width and dip angle of fault are about 101.2 § 0.01 km, 25.06 § 0.03 km and 63 § 0.05 deg. This study demonstrates that interseismic displacement with a sub-centimetre rate can be successfully detected by integration of multi temporal InSAR techniques, GPS and precise leveling data and shows that ANN algorithm is suitable for estimating the parameters of north Tabriz fault.

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“…The historical earthquakes caused tens of thousands of casualties and extensive physical and social destruction in the city. A recent time series analysis of RADAR images in the area between 2004 and 2010 supports a probable earthquake of M~7 as a result of strain accumulation across the NTF [29]. There are some limitations in the availability of useful data for assessing PSV (physical seismic vulnerability) in Tabriz.…”

Section: The Study Areamentioning

confidence: 99%

A GIS-Based Fuzzy Decision Making Model for Seismic Vulnerability Assessment in Areas with Incomplete Data

Sadrykia

Delavar

Zaré

2017

IJGI

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Earthquakes are one of the natural disasters that threaten many lives every year. It is important to estimate seismic damages in advance to be able to reduce future losses. However, seismic vulnerability assessment is a complicated problem, especially in areas with incomplete data, due to incorporated uncertainties. Therefore, it is important to use adequate methods that take into account and handle the associated uncertainties. Although different seismic vulnerability assessment methods at the urban scale have been proposed, the purpose of this research is to introduce a new Geospatial Information System GIS-based model using a modified integration of Analytical Hierarchy Process (AHP), fuzzy sets theory, and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) in a vector-based environment. The proposed method emphasizes handling one of the important uncertainties in areas with incomplete data, namely the 'vagueness' of the existing knowledge about influences of the criteria on seismic vulnerability, which is handled using fuzzy sets theory in this research. The applicability of the proposed method is tested in a municipality district of Tabriz, which is in a near vicinity to the fault system. It can be concluded that the proposed method contributes to a pragmatic and efficient assessment of physical seismic vulnerability under uncertainty, which provides useful information for assisting planners in mitigation and preparation stages in less-studied areas.

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Interseismic strain accumulation across the North Tabriz Fault (NW Iran) deduced from InSAR time series

Cited by 54 publications

References 37 publications

Characterization of land subsidence in Tabriz basin (NW Iran) using InSAR and watershed analyses

Characterization of land subsidence in Tabriz basin (NW Iran) using InSAR and watershed analyses

Estimation of north Tabriz fault parameters using neural networks and 3D tropospherically corrected surface displacement field

A GIS-Based Fuzzy Decision Making Model for Seismic Vulnerability Assessment in Areas with Incomplete Data

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