Hazard Mapping for Earthquake-Induced Geo-disaster Chain

Chen, Guangqi; Fan, Yanan; Li, Yange

doi:10.1007/978-4-431-56205-4_33

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…For example, the 2008 Wenchuan, China (magnitude M 7.9) and the 1999 Taiwan, China (magnitude M 7.6) earthquakes provided important information for the study of landslides induced by these seismic events in mountainous areas [339]. Additionally, a connection between "debris flows" and "landslides" was observed through studies on landslides and debris flows induced by rains [259], such as the case registered in Malaysia, whose major impacts (debris flows and landslides) were related to geotechnical faults. The systematic review using the PRISMA method allowed focusing on 32 documents, classified into six disasters in the last two decades, where earthquakes, liquefaction, inappropriate analysis models, and landslides predominated.…”

Section: Discussionmentioning

confidence: 99%

“…The geotechnical engineering cluster is linked to research on risk assessment on slope stability [248,249], geographic information systems in geotechnical engineering [250], liquefaction during earthquakes [251], the interaction between anti-slip piles and landslides [252], site investigation for disaster reconstruction [253] and the performance of soft soil under the action of thunderstorms [254]. Cluster 2, called "disaster", presents 12 nodes with themes related to debris flow disasters [255][256][257], geotechnical damage caused by earthquakes [258,259], damage to geostructures and slopes caused by heavy rains [258,260], erosion control and disaster prevention [261], debris flow drainage channels with energy dissipation structures in mountainous areas [262], volcanic mountain area disasters caused by an earthquake [263], prediction and assessment of slope-failure hazard based on GIS [232], satellite radar interferometry to delineate burn areas and detect sediment accumulation [260], and mechanical and fluid-dynamic behavior of debris and hyperconcentrated flows [264]. Cluster 3, called "earthquake", with 62 occurrences and 23 nodes, is related to research on landslides caused by earthquakes and rains [265,266], seismic site effects in a coastal urban area [267], and GIS-based liquefaction susceptibility [146].…”

Section: Bibliometric Analysis 321 Keyword Co-occurrence Analysismentioning

confidence: 99%

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A Systematic Review of the Relationship between Geotechnics and Disasters

et al. 2022

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Landslides, earthquakes, and other natural events can change the landscape and generate human and economic losses, affecting transportation and public service infrastructure. In every geotechnical project, the investigation phase plays a fundamental role in reducing the risk of occurrence and mitigating catastrophes. As a result, governments have created entities to study disasters and identify triggering factors that generate huge losses worldwide. This research aims to conduct a systematic review of the relationship between geotechnics and disasters through bibliometric techniques, scientific production evaluation, and case studies analysis to recognize key topics, methods, and thematic development of the research worldwide. The research methodology consisted of three steps: (1) Database analysis, selection, and combination, (2) bibliometric analysis, and (3) systematic review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method. The systematic review with bibliometric analysis collected data from 1973 to 2021, with 1299 academic publications indexed in the Scopus and WoS database. These results indicated a growing trend of annual publications on disasters and their relationship with geotechnical studies, highlighting current issues and technological innovation. The main research trends in disaster risk assessment were topics mainly linked to landslides, earthquakes, liquefaction, and inappropriate analysis models with applications of geophysical methods, laboratory tests, remote sensing, and numerical models.

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Section: Discussionmentioning

confidence: 99%