Earthquake-induced landslide hazard assessment in the Vrancea Seismic Region (Eastern Carpathians, Romania): Constraints and perspectives

Micu, Mihai; Micu, Dana; Havenith, Hans-Balder

doi:10.1016/j.geomorph.2023.108635

Cited by 8 publications

(5 citation statements)

References 76 publications

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“…In the literature review, it was found that the earthquake related content in coursebooks was analyzed both in Türkiye (Duman Kocabaş, 2011;Kırıkkaya, Ünver and Çakın, 2011;Kılıç, 2019;Önal, 2019;Değirmenci, Kuzey and Yetişensoy, 2019;Karaca, 2022) and in the world (Morrisey, 2004;Izadkhah and Hosseini, 2005;Komac, Zorn and Ciglič, 2013;Hayashi, 2014;Seddighi et al, 2021;Li et al 2022, Seddighi et al, 2022 as part of the topic of general disasters. Both in Türkiye and in different countries around the world [Japan (Satake, 2015), USA (Gerstenberger et al, 2005), Philippines (Ong et al, 2021), China (Xiang et al, 2021), Taiwan (Chao et al, 2020), India (Hazarika and Kayal, 2022), Greece (Bonatis et al, 2022), Romania (Micu, Micu and Havenith, 2023), Canada (Eyre et al, 2022), Germany (Sach, Buchner and Schmeiden, 2020), Finland (Veikkolainen et al, 2021) etc.] earthquakes take place sometimes and negatively affect daily life.…”

Section: Bridges Between Countriesmentioning

confidence: 99%

Investigation of the Earthquake Content in Social Studies Coursebooks within the Scope of Middle School Students' Views

BAYRAM

2024

Participatory Educational Research

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Earthquake is one of the issues of social studies education within the scope of being a phenomenon affecting social life. As a matter of fact, social studies is a course that deals with all the elements related to social life. Earthquake, which is an issue of social studies, should then be taught comprehensively due to its impact on individual and social life. For this very reason, the content related to earthquake in social studies coursebooks should be both adequate and appropriate for the particular levels. The aim of this study was to examine the content on earthquake in social studies coursebooks within the scope of the views of middle school students. The views of the students in 11 provinces affected by the earthquakes that took place in Kahramanmaraş province of Türkiye on February 6, 2023 were consulted. A basic qualitative design was used in the study. Maximum diversity and criterion sampling techniques were used to determine the participant group. A semi-structured interview form was resorted to with a view to collecting the data. Content analysis was utilized to analyze the data. In the study, it was determined that the students perceive earthquake as a disruptive phenomenon, that the students thought social studies course had an important role in teaching the concept of earthquake, that the students found social studies coursebooks insufficient on the elaboration of earthquake topic and thought that the books should be redesigned accordingly. Depending on the results, recommendations for researchers and education planners were made.

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Section: Bridges Between Countriesmentioning

confidence: 99%

Investigation of the Earthquake Content in Social Studies Coursebooks within the Scope of Middle School Students' Views

BAYRAM

2024

Participatory Educational Research

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“…In general terms, there are recent detailed descriptions of this landslide-prone environment resulting from the analysis of their preconditioning, preparing and triggering factors, and focusing on the landslides' morphogenetic complexity, types and spatial patterns [27,28], land-surface variables for landslide detection [29], DEMs and sampling design for landslide susceptibility modeling [30][31][32], climatic and seismic triggering factors [33][34][35] and exposure assessment [36].…”

Section: Study Areamentioning

confidence: 99%

“…Coupled events (high-magnitude seismic shaking and co-seismic landslide). Clear signs of earthquake-induced landslides are associated with high-magnitude earthquakes, exceeding Mw > 7, in boh dry and humid conditions [35]. Moreover, knowing that for large, deep-seated landslide initiation, extended periods (7-180 days) with precipitation are needed and the return period of heavy precipitation (FR10) and very heavy precipitation (FR25) range from 30 to 100 years [26,27], one should assume that at least 1-3 times per century, the Vrancea seismic region faces a propitious multi-hazard (large earthquakes and heavy precipitation) scenario, resulting in major geomorphic impacts of deep-seated landslides on river networks.…”

mentioning

confidence: 97%

Deciphering Complex Morphology and Structural Connectivity of High-Magnitude Deep-Seated Landslides via Airborne Laser Scanning: A Case Study in the Vrancea Seismic Region, Romanian Carpathians

Micu,

Vasile,

Miron

et al. 2023

Remote Sensing

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In the Vrancea seismic region (Romanian Carpathians; the most important intermediate-depth seismic source of Europe), the morphology of the slopes is often marked by the existence of numerous high-magnitude, deep-seated active, dormant or relict landslides, which are the subjects of many cases of functional and structural connectivity. Due to the compact and extensive (coniferous and broad leaved) forest coverage and because of the lack of publicly available regional high-resolution DEMs, it is usually difficult to fully understand the morphogenetic framework of such large, deep-seated landslides in order to assess their frequency–magnitude relationship, a key issue in hazard quantification. However, the high impact of such landslides on river networks requires an in-depth understanding of the multi-hazard framework, as cascading effects are likely to affect the presently growing human activities developing along the valleys. Within a case study represented by a 2.5 km long deep-seated landslide, that caused a 500 m lateral occlusion of Buzău River, we used integrated remote sensing technologies (UAV laser scanning) and in situ (geomorphic mapping and ERT investigations) techniques, which allowed us to better understand the structural connectivity which conditions the landslide hazard in such complex morphogenetic conditions, outlining the present potential of the regional seismo-climatic context to trigger potential high-magnitude chain effects.

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“…As such, resources from many countries have been devoted to studying landslides and mitigating future losses. Products from these studies include hazards maps (e.g., Kirschbaum & Stanley, 2018; Micu et al., 2023; Nowicki Jessee et al., 2018), susceptibility maps (e.g., Crawford et al., 2021; Huang et al., 2020; Hughes & Schulz, 2020), early warning systems (e.g., Baum & Godt, 2010; Guzzetti et al., 2020), and emergency response plans (e.g., Godt et al., 2022; Wooten et al., 2017). Although these efforts have improved our knowledge and response to landslides, additional work would be beneficial to further reduce landslide effects.…”

Section: Introductionmentioning

confidence: 99%

Mapping Landslide Susceptibility Over Large Regions With Limited Data

et al. 2023

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Landslide susceptibility maps indicate the spatial distribution of landslide likelihood. Modeling susceptibility over large or diverse terrains remains a challenge due to the sparsity of landslide data (mapped extent of known landslides) and the variability in triggering conditions. Several different data sampling strategies of landslide locations used to train a susceptibility model are used to mitigate this challenge. However, to our knowledge, no study has systematically evaluated how different sampling strategies alter a model's predictor effects (i.e., how a predictor value influences the susceptibility output) critical to explaining differences in model outputs. Here, we introduce a statistical framework that examines the variation in predictor effects and the model accuracy (measured using receiver operator characteristics) to highlight why certain sampling strategies are more effective than others. Specifically, we apply our framework to an array of logistic regression models trained on landslide inventories collected at sub‐regional scales over four terrains across the United States. Results show significant variations in predictor effects depending on the inventory used to train the models. The inconsistent predictor effects cause low accuracies when testing models on inventories outside the domain of the training data. Grouping test and training sets according to physiographic and ecological characteristics, which are thought to share similar triggering mechanisms, does not improve model accuracy. We also show that using limited landslide data distributed uniformly over the entire modeling domain is better than using dense but spatially isolated data to train a model for applications over large regions.

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Earthquake-induced landslide hazard assessment in the Vrancea Seismic Region (Eastern Carpathians, Romania): Constraints and perspectives

Cited by 8 publications

References 76 publications

Investigation of the Earthquake Content in Social Studies Coursebooks within the Scope of Middle School Students' Views

Investigation of the Earthquake Content in Social Studies Coursebooks within the Scope of Middle School Students' Views

Deciphering Complex Morphology and Structural Connectivity of High-Magnitude Deep-Seated Landslides via Airborne Laser Scanning: A Case Study in the Vrancea Seismic Region, Romanian Carpathians

Mapping Landslide Susceptibility Over Large Regions With Limited Data

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