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Deterministic tsunamigenic earthquake hazard assessment for the northern coast of Egypt based on multi-scenario approach
Egypt’s northern coast can be considered a dynamic natural system like several coastal regions worldwide. While it provides many opportunities and...
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Joint Effects and Spatiotemporal Characteristics of the Driving Factors of Landslides in Earthquake Areas
Understanding the joint effects of earthquakes and driving factors on the spatial distribution of landslides is helpful for targeted disaster...
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Machine learning for earthquake prediction: a review (2017–2021)
For decades, earthquake prediction has been the focus of research using various methods and techniques. It is difficult to predict the size and...
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Identifying drivers of urban landuse changes in the Wenchuan earthquake-affected area by using night-time light data
To learn the process of urban land evolution before and after an earthquake is vital to formulate the urban reconstruction control policies and...
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Revised Empirical Relations Between Earthquake Source and Rupture Parameters by Regression and Machine Learning Algorithms
In this study, we have developed new empirical relations between various source and rupture parameters such as moment magnitude (M), surface rupture...
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The Investigation of Viscoelastic Relaxation Following the 2018 Mw 6.2 Situbondo, Indonesia, Earthquake
The 2018 Mw 6.2 Situbondo earthquake occurred in an active fault where no earthquakes of magnitude 6 or higher have been recorded in the last decade....
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Modelling of non-structural components of an industrial multi-storey frame for seismic risk assessment
Seismic risk assessment of industrial facilities is complex due to the presence of different types of equipment. It represents a research issue that...
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Raising the bar in seismic design: cost–benefit analysis of alternative design methodologies and earthquake-resistant technologies
The severe socio-economic impact of recent earthquakes has represented a tough reality check, further confirming the mismatch between society...
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Integrating post-event very high resolution SAR imagery and machine learning for building-level earthquake damage assessment
Earthquakes have devastating effects on densely urbanised regions, requiring rapid and extensive damage assessment to guide resource allocation and...
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Probabilistic physical modelling and prediction of regional seismic landslide hazard in Uttarakhand state (India)
Probabilistic modelling is gaining increased attention in the field of assessing the landslide hazard due to the ability to account for the spatial...
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Submarine landslides and tsunami genesis in Sagami Bay, Japan, caused by the 1923 Great Kanto earthquake
The 1923 Great Kanto earthquake occurred on September 1, in Japan, and caused severe damage mainly in the Kanto region. Tsunamis were observed over...
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Develo** GIS-based earthquake loss model: a case study of Baqiao District, China
Large earthquakes frequently occurred and caused substantial damage and losses in Chinese densely populated urban areas. It is worth clarifying that...
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Earthquake fatality prediction based on hybrid feature importance assessment: a case study in Yunnan Province, China
Reliable earthquake fatality prediction is an important reference for post-earthquake emergency response efforts. Seismic data are the basis for...
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Post-earthquake damage classification and assessment: case study of the residential buildings after the Mw = 5 earthquake in Mila city, Northeast Algeria on August 7, 2020
On August 7th, 2020, a magnitude Mw = 5.0 earthquake shook 5 km north of Mila city center, northeast of Algeria, causing substantial damage directly...
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Develo** a novel hybrid model for seismic loss prediction of regional-scale buildings
Seismic loss prediction of regional-scale buildings provides key information for disaster management. However, previous seismic loss prediction...
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Simulating the impact of natural disasters on urban development in a sample of earthquake
Natural disasters have been increased in areas, where people live densely, day by day. Istanbul 1999, Van 2011, and Izmir 2020 earthquakes were just...
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Development of exposure datasets for earthquake damage and risk modelling: the case study of northern Algeria
In recent years, significant economic and human loses have been caused by earthquake events across the globe, particularly in develo** countries,...
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An integrated approach to model seismic loss for the Himalayan infrastructure projects: Decision-making and functionality concept for disaster mitigation
Due to the potential seismicity of the region, transportation infrastructure projects in Jammu and Kashmir require resilient design. In the present...
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A Review of Tsunamis Generated by Volcanoes (TGV) Source Mechanism, Modelling, Monitoring and Warning Systems
Tsunamis generated by volcanic eruptions have risen to prominence since the December 2018 tsunami generated by the flank collapse of Anak Krakatau...
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Earthquake-triggered landslide susceptibility in Italy by means of Artificial Neural Network
The use of Artificial Neural Network (ANN) approaches has gained a significant role over the last decade in the field of predicting the distribution...
