disaster case study landslide

Landslide is a common natural disaster often in hilly terrain, which causes huge loss of natural resources and human life (Ering & Babu, 2016). ... V., & Gopale, R. (2018). A geographical study of landslide: A case study of malin village of ambegaon tahsil in pune district, Maharashtra. Peer Reviewed International Research Journal of Geography ...

A catastrophic landslide in Uttarakhand state in India on February 2021 damaged two hydropower plants, and more than 200 people were killed or are missing. Shugar et al. describe the cascade of events that led to this disaster. A massive rock and ice avalanche roared down a Himalayan valley, turning into a deadly debris flow upstream from the ...

Credit: NTV Kenya. The Landslide Blog is written by Dave Petley, who is widely recognized as a world leader in the study and management of landslides. On 29 April 2024, a devastating debris flow ...

Hundreds of people were buried by a landslide when the wall of the Wai Khar open mine collapsed on 2 July 2020. Credit: Zaw Moe Htet/AFP via Getty. A detailed analysis of satellite and remote ...

This Collection contains Landslide Mitigation and Disaster Risk Management Case Studies and Good Practice to support humanitarian workers in their operations and interventions for the mitigation or response of a landslide disaster. Current guidance comes from leading local and global organizations and institutions: Asian Disaster Preparedness Center (ADPC), ECHO, IFRC, REACH, Shelter Projects ...

Landslides area controversial issue worldwide and cause a wide range of impacts on the socio-economic systems of the affected community. However, empirical studies of affected environments remain inadequate for prediction and decision making. This study aims to estimate the direct impact of a massive landslide that occurred around areas with Kandyan home gardens (KHGs)in Aranayake, Sri Lanka.

A total of 182 samples were selected as training samples (Fig. 2).These included 91 existing landslide points (corresponding to the locations of the landslide events in 2008-2014, labeled as "1") and 91 automatically generated random points that were > 2 km from the disaster points (designated as the non-disaster points and labeled "-1").

On 21 October 1966, the worst mining-related disaster in British history took place in Aberfan, a small village in South Wales. This harrowing and tragic event started when the nearby colliery ran out of tipping space in the valley floor in 1916. A total of seven tips were then constructed on the hillside overlooking Aberfan village, containing ...

Similarly, although landslide disasters are rare in the UK, they cause over £10 million in financial losses annually. A management framework was built on managing small and larger landslides affecting urban areas. Case studies identified three key issues: lack of evidence, the need to evaluate guidance, and the significance of near misses.

In what follows, we present a summary of types of landslides and responses that landslide experts might encounter during disasters. This is achieved using nine case studies from U.S. Geological Survey (USGS) responses conducted over the past two decades (Fig. 3; Table 1) to illustrate the various roles in which an expert may be placed when responding to an event.

In recent years, landslides have become a typical monsoon calamity in the Western Ghats region of Kerala, India. In addition to property damage, heavy rainfall (36% above normal) and multiple landslides (4728) killed 48 people in 2018. This tendency continued throughout the monsoon seasons of 2019, 2020, and 2021, resulting in the deaths of over 100 people. Anomalous precipitation is ascribed ...

In the context of Western China's unique geography, recurrent landslide disasters pose substantial threats to both resident safety and economic stability. The escalating frequency of these incidents emphasizes the critical need for innovative disaster research, particularly focused on the concept of a disaster chain. This research aims to enhance disaster preparedness and management ...

A study by Mon et al. , which was published after the CSS trial commenced, details the geological setting and response to the landslide disaster in 2015. The trial of CSS focussed on shallow failures that typically occur in the residual soils formed by weathering of the bedrock immediately beneath (mudstones and sandstones) and with a thickness ...

In another study, Pratt-Sitaula et al. have reported bed load-to-suspended load ratio of 1:2 in the case of a Himalayan landslide dam which is considerably higher than the commonly assumed ratio of 1:10. Therefore, it is estimated that the bed load which is deposited in different parts of the Kedarnath town and surrounding areas could ...

Considering the effective rainfall and the previous rainfall duration, a total of 391 landslide rainfall disaster records were screened. In this study, rainfall-induced landslide events were ...

A case study of a landslide in Pingding, Taiwan was used to monitor the accurate coordinate changes in the potential landslide areas during typhoons. The goal of this study was to establish warning indexes, and to strengthen the software and hardware at the local disaster response center in the hope of gaining a full idea of the surface ...

Geological disaster risk assessment can quantitatively assess the risk of disasters to hazard-bearing bodies. Visualizing the risk of geological disasters can provide scientific references for regional engineering construction, urban planning, and disaster prevention and mitigation. There are some problems in the current binary classification landslide risk assessment model, such as a single ...

Landslides pose a huge threat to human safety and infrastructure, and quantitative risk assessment of landslide disasters is of great significance for regional geological disaster prevention and control. In this study, there is an undeniable distance issue between the development area of landslides and the disaster bearing body based on a large scale.

A massive landslide wiped out t he village of Malin l ocated at 110 km from Pun e city, in the W estern Ghats on July. 30. Mound of mud and debris that came down from a nearby hillock, swallowed u ...

Finally, the dynamic failure process of typical landslide and glacier disasters in highly susceptible areas was quantitatively predicted, which provides a scientific basis for disaster prevention. ... Wu RA, Zhang YS, Guo CB et al (2020) Landslide susceptibility assessment in mountainous area: a case study of Sichuan-Tibet railway. China ...

To mitigate the risk of secondary disasters, this study proposes a comprehensive set of measures based on the mechanisms of landslide instability and the support principle of a compensated traction zone. ... C. & Tiafack O., The catastrophic geomorphological processes in humid tropical Africa: A case study of the recent landslide disasters in ...

In rural areas, landslides can bury houses and result in major disasters in affected areas, which can greatly hinder local economic development and construction. When landslides occur, sliding debris can result in large impact forces, causing varying degrees of damage to building structures. Given the great harm caused by landslides, this paper studies the prediction of dynamic response ...

Landslide Disasters: Seeking Causes ΠA Case Study from India 221 Environmentalists, engineers and lawyers, naturally, emphasise adhyatmic issues, albeit for different reasons. Environmental scientists tend to emphasise adhibautic factors, commonly the role of their preferred aspect of the

The land use change (LUC) and urbanization caused by human activities have markedly increased the occurrence of landslides, presenting significant challenges in accurately predicting landslide susceptibility despite decades of model advancements. This study, focusing on the Li River Valley (LRV) within the Yongding District, China, employs two common models, namely an analytic hierarchy ...

Assessing and mapping landslides in rugged, mountainous terrain presents considerable challenges due to the high cost, risk, and complexity involved. High-resolution assessments of landslides are essential for mitigating landslide-relevant damage and understanding landslide kinematics. Recent studies have utilized satellite-based Synthetic Aperture Radar Interferometry (InSAR) to achieve ...

Mudslides develop when water rapidly accumulates in the ground and results in a surge of water-saturated rock, earth, and debris. Mudslides usually start on steep slopes and can be activated by natural disasters. Areas where wildfires or human modification of the land have destroyed vegetation on slopes are particularly vulnerable to landslides ...

In part, it is intended as a protest against the repetitive and misleading reports that so often follow each successive extreme rainfall event and consequent landslide swarm. The problem is that many of these.'kneejerk'. reactions to a disaster do little more than support folklore or a particular political stance.

Taking the Niumian Gully landslide-debris-flow geohazard chain as an example, we analyze the disaster mechanism of the landslide-debris-flow geohazard chain and its evolution process through field investigation as a reference for disaster prevention and risk reduction in areas with strong earthquakes by analyzing the accumulative sliding amount and the critical rainfall for debris flow ...

Unlike strong earthquake-triggered or heavy rainfall-triggered landslides, silent large-scale landslides (SLL) occur without significant triggering factors and cause unexpected significant disaster risks and mass casualties. Understanding the initiation mechanism of SLLs is crucial for risk reduction. In this study, the mechanism of the Zhaobishan SLL was investigated, and the SLL was jointly ...

This scientometric analysis significantly advances the understanding of landslide risk assessment and economic losses, focusing on scientometric insights. This study aims at analyzing the global trends and structures of landslide risk and economic loss research from 2002 to 2023 using scientometric techniques such as co-authorship, co-word, co-citation, cluster analysis, and trend topics ...