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ISSN: 2666-5921

Earthquake-induced landslides susceptibility assessment: A review of the state-of-the-art

Earthquake-induced landslides (EQL) can take a heavy toll on people's life and properties, thus attracting extensive attention of the geosciences community. Carrying out earthquake-induced landslide...

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Object detection in high resolution optical image based on deep learning technique

Deep learning-based object detection in high resolution optical imagery is an active research frontier. Dataset for object detection is fundamentally important to drive deep learning models. Compared...

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Effect of soil structure interaction on the dynamic response of reinforced concrete structures

During severe seismic events, the dynamic response of the structure is affected not only by the behavior of the superstructure but also by the nature and behavior of the soil present in and around the...

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Satellite based detection of pre-earthquake thermal anomaly, co-seismic deformation and source parameter modelling of past earthquakes

The presented work brings satellite-based detection of pre-earthquake transient thermal anomaly and coseismic deformation mechanism using InSAR (SAR Interferometry) observations of the two major earthquakes...

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Advances on the avoidance zone and buffer zone of active faults

Most destructive earthquakes occur along active faults. Abrupt dislocation of active faults in an earthquake and long-term creep during the interseismic period can cause serious damage to buildings...

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Correlation analysis between ground motion parameters and seismic damage of buildings for near-field ground motions

Pulse-like ground motions constitute a significant challenge to the performance of buildings, as they are characterized by long intense velocity, displacement, or acceleration pulses. Such ground motions...

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Flood susceptibility zonation using advanced ensemble machine learning models within Himalayan foreland basin

Floods are considered as one of nature's most destructive fluvio-hydrological extremes because of the massive damage to agricultural land, roads and buildings and human fatalities. Rapid development...

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Climate change, multi-hazards and society: An empirical study on the coastal community of Indian Sundarban

Effective mitigation and adaptation methods are critical for addressing multi-hazards in various parts of the world as a result of changing climate occurrences. Basically, coastal areas around the world...

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MAT.TRIGRS (V1.0): A new open-source tool for predicting spatiotemporal distribution of rainfall-induced landslides

In this work, a new TRIGRS (Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability) model based on Matlab® is proposed, named MAT.TRIGRS (V1.0), which can be applied to research of...

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Estimation of earthquake vulnerability by using analytical hierarchy process

Earthquake is one of the most damaging disasters in Bangladesh and vulnerability assessment is the precondition for evaluating the risk of earthquake. The main goal of this study is to estimate the...

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Two public inventories of landslides induced by the 10 June 2022 Maerkang Earthquake swarm, China and ancient landslides in the affected area

The June 10, 2022 Ms5.8, Ms6.0 and Ms5.2 earthquake swarm of Maerkang, Sichuan, China has triggered a lot of landslides. The primary purpose of this paper is to prepare a detailed coseismic landslides...

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Landslide susceptibility and risk analysis in Benighat Rural Municipality, Dhading, Nepal

The complex geology and undulating terrain made Nepal vulnerable to natural disasters like landslides. Benighat-Rorang Rural Municipality (RM), in the Dhading district of Nepal's Bagmati province, has...

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Three decades of disaster risk reduction education: A bibliometric study

It has been more than three decades of disaster risk reduction education in the United Nations; however, no study has been conducted to explore its current intellectual landscape. That being so, the...

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Landslide susceptibility evaluation and interpretability analysis of typical loess areas based on deep learning

Loess areas have a unique geological environment, and geological disasters occur there frequently. In this work, the typical loess area Lvliang was used as the study area. Using the historical landslide...

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Official and unofficial data supporting disaster risk management in medium-sized cities

The disaster database enables managers to support prevention, preparedness, and mitigation actions, especially in Latin American countries, where disaster risk data are scarce. This article surveys...

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Chamoli flash floods of 7th February 2021 and recent deformation: A PSInSAR and deep learning neural network (DLNN) based perspective

The February 7, 2021, Joshimath flood scenario was one such event that caused widespread damage and led to complete washout of the many hydroelectric power projects located on the course of Dhauliganga...

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Spatio-temporal analysis of nitrogen dioxide (NO2) from Sentinel-5P imageries using Google Earth Engine changes during the COVID-19 social restriction policy in jakarta

The number of cases due to COVID-19 is increasing, especially in Jakarta, requiring the government to establish a policy of social restrictions. The policy impacting the mobility of people using motor...

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Machine learning for wildfire classification: Exploring blackbox, eXplainable, symbolic, and SMOTE methods

Whether triggered by natural or human-made events, wildfires are considered one of the most traumatic events to our community and environment. Thus, properly predicting wildfires continues to be an...

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Retrospective analysis and hazard assessment of Gega glacial lake in the eastern Himalayan syntaxis

The frequency of glacier related hazards like Glacial Lake Outburst Flood (GLOF) is increasing in the High Mountain Asia due to global climate warming. The extreme floods generated by glacial lake outburst...

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Flexibility analysis methodology for pipeline networks under occasional loads

Consideration of occasional loads attributed to events like wind and earthquakes serves as a major design practice in the pipeline engineering field. Numerous methods and approaches previously developed...

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GIS ​– ​based flood susceptibility mapping using frequency ratio and information value models in upper Abay river basin, ​Ethiopia

In this study, flood susceptibility mapping was carried out for Chemoga watershed upper Abay River basin, Ethiopia. The main objective of this study is to identify the flood susceptibility areas using...

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Sustainability assessment of Indian Sundarban delta islands using DPSIR framework in the context of natural hazards

Since the inception of the concept, sustainability has been interpreted as encompassing social, economic, and environmental dimensions of it. It is now rapidly shifting from a concept to a measurable...

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Typical Riedel shear structures of the coseismic surface rupture zone produced by the 2021 Mw 7.3 Maduo earthquake, Qinghai, China, and the implications for seismic hazards in the block interior

Large earthquakes in the Tibetan Plateau generally occur on block-boundary faults and produce coseismic surface ruptures that indicate the sense of block movement. However, seismic hazard in the block...

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UAV technique to localize landslide susceptibility and mitigation proposal: A case of Rinchending Goenpa landslide in Bhutan

Natural hazards such as landslides impose very high risks to the community and infrastructures. To mitigate such risk, proper long-term engineering solutions are must. Several studies conducted in the...

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Stochastic finite fault modeling of Mw 6.4 earthquake along Indo-Burmese arc and site classification of its seismic recording station

This study simulates the strong ground motion of an earthquake having magnitude 6.4 occurred on 4 February 2011 in Indo-Burmese Arc (IBA). This earthquake recorded on seven seismic recording stations...

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