Nemrut Caldera and Eastern Anatolian Volcanoes: Fire in the Highlands

Ulusoy, İ̇̇nan; Çubukçu, H. Evren; Mouralis, Damase; Aydar, Erkan

doi:10.1007/978-3-030-03515-0_35

Cited by 6 publications

(4 citation statements)

References 24 publications

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“…The settlements and access roads in the mountainous south are generally located in deep river valleys. The upper geological structure of the region consists of lava and ignimbrite layers originating from the Nemrut Caldera (Ulusoy et al, 2019). In these areas, ignimbrite layers loosen due to meteorological conditions such as snow, rain, frost, and groundwater, causing rockfall.…”

Section: Study Areamentioning

confidence: 99%

CBS tabanlı AHP yöntemi kullanılarak Bitlis İlinin Heyelan Duyarlılık Haritalaması

Aydın

BİRİNCİOĞLU

Büyüksaraç

2022

Turk J Remote Sens GIS

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This study presents the landslide susceptibility assessment of the region by considering the landslide-susceptible hazard factors such as slope, precipitation, soil, lithology, distance to the river, land use, elevation, aspect, and distance to active faults as well as historical landslide events and population throughout the province of Bitlis. For this purpose, a GIS-based Analytical Hierarchy Process (AHP) was used as an effective method in multiple decision-making methods. The results showed that approximately 25% of the study area has moderate to high landslide susceptibility. Accordingly, the landslide susceptibility of the study area is high, especially in the southwest and southeast parts of the study area which have mountainous and deep river valleys, and the partially mountainous regions in the north. Compared with previous landslide records and similar susceptibility maps in the literature, the results were found to be quite successful in determining landslide susceptibility of the study area. However, risk assessment wasn’t made within the scope of the study.

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Section: Study Areamentioning

confidence: 99%

CBS tabanlı AHP yöntemi kullanılarak Bitlis İlinin Heyelan Duyarlılık Haritalaması

Aydın

BİRİNCİOĞLU

Büyüksaraç

2022

Turk J Remote Sens GIS

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“…1). Three volcanoes have erupted historically (GVP 2013): Nemrut Dağı in 1441, 1597, 1692 and 1881 with recent activity characterised by the formation of lava domes, basaltic and rhyolitic lavas (Karakhanian et al 2002;Ulusoy et al 2019a;Aydar et al 2003). A gas and ash eruption occurred at Tendürek Dağı in 1855 (Karakhanian et al 2002) and a VEI 3 eruption occurred at Ağrı (also known as Ararat) in 1840, and an uncertain eruption in 1783.…”

Section: Background: Volcanic Activity In Turkeymentioning

confidence: 99%

Baseline monitoring of volcanic regions with little recent activity: application of Sentinel-1 InSAR to Turkish volcanoes

et al. 2021

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Volcanoes have dormancy periods that may last decades to centuries meaning that eruptions at volcanoes with no historical records of eruptions are common. Baseline monitoring to detect the early stages of reawakening is therefore important even in regions with little recent volcanic activity. Satellite techniques, such as InSAR, are ideally suited for routinely surveying large and inaccessible regions, but the large datasets typically require expert interpretation. Here we focus on Turkey where there are 10 Holocene volcanic systems, but no eruptions since 1855 and consequently little ground-based monitoring. We analyse data from the first five years of the European Space Agency Sentinel-1 mission which collects data over Turkey every 6 days on both ascending and descending passes. The high relief edifices of Turkey’s volcanoes cause two challenges: 1) snow cover during the winter months causes a loss of coherence and 2) topographically-correlated atmospheric artefacts could be misinterpreted as deformation. We propose mitigation strategies for both. The raw time series at Hasan Dag volcano shows uplift of ~ 10 cm between September 2017 and July 2018, but atmospheric corrections based on global weather models demonstrate that this is an artefact and reduce the scatter in the data to < 1 cm. We develop two image classification schemes for dealing with the large datasets: one is an easy to follow flowchart designed for non-specialist monitoring staff, and the other is an automated flagging system using a deep learning approach. We apply the deep learning scheme to a dataset of ~ 5000 images over the 10 Turkish volcanoes and find 4 possible signals, all of which are false positives. We conclude that there has been no cm-scale volcano deformation in Turkey in 2015–2020, but further analysis would be required to rule out slower rates of deformation (< 1 cm/yr). This study has demonstrated that InSAR techniques can be used for baseline monitoring in regions with few historical eruptions or little reported deformation.

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“…In this stage, basaltic trachyandesitic (mugearite) lava flows formed and outcropped at the southern and southwestern flanks ( Figure 7). Pyroclastic fall/flow deposits known as Nemrut and Kantaşı ignimbrites (Ulusoy et al 2012) shown in Figure 7 were produced by explosive eruptions in the syn-caldera stage (Ulusoy et al 2019). Post-caldera products are located inside the caldera and on the Nemrut rift zone (Figure 7).…”

Section: Real Data Examplementioning

confidence: 99%

On the drape and level flying aeromagnetic survey modes with terrain effects, and data reduction between arbitrary surfaces

Ekinci¹

2021

Turkish J Earth Sci

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Nemrut Caldera and Eastern Anatolian Volcanoes: Fire in the Highlands

Cited by 6 publications

References 24 publications

CBS tabanlı AHP yöntemi kullanılarak Bitlis İlinin Heyelan Duyarlılık Haritalaması

CBS tabanlı AHP yöntemi kullanılarak Bitlis İlinin Heyelan Duyarlılık Haritalaması

Baseline monitoring of volcanic regions with little recent activity: application of Sentinel-1 InSAR to Turkish volcanoes

On the drape and level flying aeromagnetic survey modes with terrain effects, and data reduction between arbitrary surfaces

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