Results 31 to 40 of about 8,422,283 (314)

Disaster Risk Reduction in Cameroon: Are Contemporary Disaster Management Frameworks Accommodating the Sendai Framework Agenda 2030?

open access: yesInternational Journal of Disaster Risk Science, 2019
Many African countries are prone to numerous hazardous events, exacerbated by the vulnerability of their rapidly increasing population and leading to frequent disasters that often have dire fiscal and development implications.
Henry Ngenyam Bang   +2 more
doaj   +1 more source

A scientometric analysis of ICT-assisted disaster management

open access: yesNatural Hazards, 2021
In recent years, natural and manmade disasters such as floods, earthquakes, wildfires, and tsunamis have occurred with human losses and environmental deterioration.
S. Sood, K. Rawat
semanticscholar   +1 more source

Monitoring Glacier Lake Outburst Flood (GLOF) of Lake Merzbacher Using Dense Chinese High-Resolution Satellite Images

open access: yesRemote Sensing, 2023
Establishing an effective real-time monitoring and early warning system for glacier lake outburst floods (GLOFs) requires a full understanding of their occurrence mechanism. However, the harsh conditions and hard-to-reach locations of these glacial lakes
Changjun Gu   +4 more
doaj   +1 more source

The concept of an early warning system for the use of nuclear technology in Indonesia [PDF]

open access: yesE3S Web of Conferences, 2021
The application of nuclear power plants in the world is increasing and has the potential for accidents, including nuclear weapons tests from outside the Nuclear Non-Proliferation Treaty, thus allowing radioactive releases to fall into Indonesian ...
Prima Meiliasari Dewi   +3 more
doaj   +1 more source

A Critical Review of Social Resilience Properties and Pathways in Disaster Management

open access: yesInternational Journal of Disaster Risk Science, 2021
Resilience as a concept is multi-faceted with complex dimensions. In a disaster context, there is lack of consistency in conceptualizing social resilience. This results in ambiguity of its definition, properties, and pathways for assessment.
A. Saja   +3 more
semanticscholar   +1 more source

Disaster Management in Smart Cities

open access: yesSmart Cities, 2021
The smart city concept, in which data from different systems are available, contains a multitude of critical infrastructures. This data availability opens new research opportunities in the study of the interdependency between those critical ...
L. Elvas   +3 more
semanticscholar   +1 more source

UAVs in Disaster Management: Application of Integrated Aerial Imagery and Convolutional Neural Network for Flood Detection

open access: yesSustainability, 2021
Floods have been a major cause of destruction, instigating fatalities and massive damage to the infrastructure and overall economy of the affected country.
Hafiz Suliman Munawar   +4 more
semanticscholar   +1 more source

The Development of a Methodology for Calibrating a Large-Scale Laboratory Rainfall Simulator

open access: yesAtmosphere, 2018
The objective of this study was to establish a method to calibrate a large-scale laboratory rainfall simulator through developing and implementing an automated rainfall collection system to assess the reliability and accuracy of a rainfall simulator. The
Haksoo Kim   +3 more
doaj   +1 more source

LIDAR-BASED MULTI-SENSOR MODULE DEVELOPMENT AND ASSESSMENT OF APPLICABILITY FOR DAMAGE INVESTIGATION OF INDOOR DISASTER [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
As the risk of disaster scenes increases, the number of cases of acquiring disaster scenes information using unmanned robots is increasing. Because unmanned robots can be remotely controlled, sensors such as LiDAR and optical cameras are installed so ...
D. Y. Shin   +7 more
doaj   +1 more source

Adoption of Big Data Analytics (BDA) Technologies in Disaster Management: A Decomposed Theory of Planned Behavior (DTPB) Approach

open access: yesCogent Business & Management, 2021
Big data analytics (BDA) technologies have emerged as a cornerstone for predicting, preparing, and preventing natural disasters, that directly save millions of human lives.
Umer Zaman   +3 more
semanticscholar   +1 more source

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