Geo‐information technology (GiT) and tectonic signatures: the River Karun &amp; Dez, Zagros Orogen in south‐west Iran

Pirasteh, Saied; Woodbridge, Kevin P.; Rizvi, Asim

doi:10.1080/01431160802345693

Cited by 27 publications

(17 citation statements)

References 4 publications

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“…The Iranian plateau has potential to earthquakes and of various kinds of landslides (Ali et al 2003a;Ali et al 2003b;Ali and Pirasteh 2004;Pirasteh et al 2009;Jaboyedoff et al 2012;Pirasteh et al 2015;Niculită 2016) because of a high tectonic activity, rugged topography, geological setting, and climatologic variety. Most of these landslides occur within two main mountain ranges.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic frequency ratio (PFR) model for quality improvement of landslide susceptibility mapping from LiDAR-derived DEMs

Pirasteh

2017

Geoenviron Disasters

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This paper expands the previous efforts by other researchers to present a quantitative and deterministic approach for terrain analysis. This study evaluates both spatial and temporal factors contributing landslides utilizing Light Detection and Ranging (LiDAR) point clouds in conjunction with the frequency ratio model (PFR) than has previously been used in the Alborz Mountains. The study area is Marzan Abad of the Alborz Mountain in Iran. The significance of this study is the performance of a high-resolution digital elevation model (DEM) derived from LiDAR point clouds in order to provide detailed information in improving landslide susceptibility evaluation. This study discusses how we improve the quality of landslide susceptibility evaluation. We apply the PFR model to consider the effect of landslide-related factors associated with Google Earth's high-resolution images and field observations. The LiDAR point cloud data and GIS-based analysis have allowed performing high quality ways of landslide hazard assessments using inventory dataset as compared to previous studies. We contributed an improved landslide inventory map of the Mazandaran Province. We used image elements interpretation from the available ASTER DEM (30 m), LiDAR-DEM (5 m), and the Google Earth high spatial resolution images in conjunction with the field observations. This study evaluates factors such as geology, geomorphology, landuse, soil, slope, and distance from roads and drainage to represent, manipulate, and analyze factors. Also, we evaluated the performance success of the rate curve of landslides susceptibility. The results have indicated an improved landslide susceptibility map from LiDAR-derived DEMs implementing the PFR model with 92.59% of accuracy performance as compared to the existing data and previous studies in the same region. Furthermore, this study reveals that all considering factors have relatively positive effects on the landslides susceptibility mapping in the study, however, the most effective factor on the landslide occurrence is the lithology with 13.7%.

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Section: Introductionmentioning

confidence: 99%

Probabilistic frequency ratio (PFR) model for quality improvement of landslide susceptibility mapping from LiDAR-derived DEMs

Pirasteh

2017

Geoenviron Disasters

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“…More recently, the satellite data and GIS techniques have been used to detect and map the structural features [4][5][6][7][8][9] and also sub-surface deep seepages [6].…”

Section: Introductionmentioning

confidence: 99%

Use of Remote Sensing Data and GIS Tools for Seismic Hazard Assessment for Shallow Oilfields and its Impact on the Settlements at Masjed-i-Soleiman Area, Zagros Mountains, Iran

et al. 2010

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Masjed-i-Soleiman (MIS) is situated in the northern part of the Dezful embayment, which is in the Zagros fold-thrust belt with high seismic activities. MIS faces a shallow buried anticline, formed by the shallowest oilfield with a thick gas cap. The cap rocks of this oilfield are highly fractured, which has resulted in leakages from the gas cap. In this paper, we have used remote sensing techniques and image interpretation for the identification of the Niayesh, Lahbari, Andika and MIS fault zones in the studied area. Further, the study exploited seismic potential mapping using the remote sensing techniques. The relationships between the structural controls and localized gas leakage are assessed within the GIS environment. Additionally, field observation data corroborated that the leakages (and seepages) are smashed within the intersection of Niayesh and MIS fault zone, which belongs to the high fractured hinge zone of the MIS anticline. As a result, the reactivation of these active faults may cause large earthquakes with a maximum magnitude of between 6.23 < Ms < 7.05 (Richter scale) and maximum horizontal acceleration 0.26 < a < 0.55 g. Finally, the authors concluded that this anticipated earthquake may cause OPEN ACCESSRemote Sensing 2010, 2 1365 large scale fracturing of cap rocks, releasing a large volume of H 2 S gas from the uppermost layer of the reservoir.

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“…The Zagros fold-thrust belt was formed during several episodes of shortening related to the closure of the Tethys Ocean and subsequent collision of the Arabian and Eurasian plates in the late Cretaceous to recent times [1]. This fold-thrust belt is truncated and disturbed by several transverse strike-slip fault zones such as the Izeh, Kazerun, Karebas, Sarvestan and Sabzpushan fault zones [2][3][4][5] with approximately N160°-180° in trend.…”

Section: Introduction and Study Areamentioning

confidence: 99%

Upliftment Estimation of the Zagros Transverse Fault in Iran Using Geoinformatics Technology

2009

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Abstract:The Izeh fault zone is a transverse fault zone with dextral strike slip (and some reverse component) in the Zagros Mountains (Iran). It causes some structural deformations. This fault zone is acting as eastern boundary of Dezful Embayment and forms subsidence of the embayment. The fault has been recognized using remote sensing techniques in conjunction with surface and subsurface analyses. The stratigraphic columns have been prepared in 3D form using Geographical Information System (GIS) tools on the basis of structural styles and thickness of lithologic units. Height differences for erosion levels have been calculated in stratigraphic columns with respect to the subsidence in the Dezful Embayment, which is related to Izeh zone. These height differences have been estimated to be 5,430 m in the central part (and 5,844 m in the northern part) from the Eocene to recent times. This study shows that comparison of the same erosion levels in Asmari-Pabdeh formation boundaries for interior and eastern block of the Izeh fault zone with the absolute uplifting due to the fault activity which is about 533 m per million years in the Izeh zone. The present study reveals that subtracting the absolute uplifting from total subsidence; the real subsidence of Dezful embayment from Eocene to Recent is 0.13 mm/year. The mean rate of uplifting along the Izeh fault zone is 0.015 mm/year.

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Geo‐information technology (GiT) and tectonic signatures: the River Karun & Dez, Zagros Orogen in south‐west Iran

Cited by 27 publications

References 4 publications

Probabilistic frequency ratio (PFR) model for quality improvement of landslide susceptibility mapping from LiDAR-derived DEMs

Probabilistic frequency ratio (PFR) model for quality improvement of landslide susceptibility mapping from LiDAR-derived DEMs

Use of Remote Sensing Data and GIS Tools for Seismic Hazard Assessment for Shallow Oilfields and its Impact on the Settlements at Masjed-i-Soleiman Area, Zagros Mountains, Iran

Upliftment Estimation of the Zagros Transverse Fault in Iran Using Geoinformatics Technology

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