scholarly journals Using the Monoplotting Technique for Documenting and Analyzing Natural Hazard Events

2018 ◽  
Author(s):  
Conedera Marco ◽  
Bozzini Claudio ◽  
Ryter Ueli ◽  
Bertschinger Thalia ◽  
Krebs Patrik
Keyword(s):  
Natural Hazard

Variance in Natural Hazard Risk Perception in Coastal Areas

2017 ◽  
Vol 25 (3) ◽  
pp. 21-46 ◽  
Author(s):  
Hyungjun Park ◽  
Gyoungjun Ha ◽  
Dalbyul Lee ◽  
Juchul Jung
Keyword(s):  
Risk Perception ◽  
Natural Hazard ◽  
Coastal Areas ◽  
Hazard Risk

METEORITE IMPACT AND AIRBURSTS AS A NATURAL HAZARD

2017 ◽  
Author(s):  
Christian Koeberl ◽  
Keyword(s):  
Natural Hazard ◽  
Meteorite Impact

scholarly journals MATLAB Virtual Toolbox for Retrospective Rockfall Source Detection and Volume Estimation Using 3D Point Clouds: A Case Study of a Subalpine Molasse Cliff

Geosciences ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 75
Author(s):  
Dario Carrea ◽  
Antonio Abellan ◽  
Marc-Henri Derron ◽  
Neal Gauvin ◽  
Michel Jaboyedoff
Keyword(s):  
Point Cloud ◽  
Natural Hazard ◽  
Point Clouds ◽  
Volume Estimation ◽  
Natural Phenomena ◽  
Frequency Distributions ◽  
Erosion Rates ◽  
3D Point Clouds

The use of 3D point clouds to improve the understanding of natural phenomena is currently applied in natural hazard investigations, including the quantification of rockfall activity. However, 3D point cloud treatment is typically accomplished using nondedicated (and not optimal) software. To fill this gap, we present an open-source, specific rockfall package in an object-oriented toolbox developed in the MATLAB® environment. The proposed package offers a complete and semiautomatic 3D solution that spans from extraction to identification and volume estimations of rockfall sources using state-of-the-art methods and newly implemented algorithms. To illustrate the capabilities of this package, we acquired a series of high-quality point clouds in a pilot study area referred to as the La Cornalle cliff (West Switzerland), obtained robust volume estimations at different volumetric scales, and derived rockfall magnitude–frequency distributions, which assisted in the assessment of rockfall activity and long-term erosion rates. An outcome of the case study shows the influence of the volume computation on the magnitude–frequency distribution and ensuing erosion process interpretation.

The recalibration of our relationships with science (and nature) by natural hazard risk mitigation practitioners

2021 ◽  
pp. 251484862110198
Author(s):  
Jessica K Weir ◽  
Timothy Neale ◽  
Elizabeth A Clarke
Keyword(s):  
Natural Hazard ◽  
Risk Mitigation ◽  
Environmental Issues ◽  
Work Conditions ◽  
Hazard Risk ◽  
Change Policy ◽  
Procedural Change ◽  
Or Practice ◽  
Effective Use ◽  
Unrealistic Expectations

Unrealistic expectations in society about science reducing and even eliminating the risk of natural hazards contrasts with the chaotic forces of these events, but such expectations persist nonetheless. Risk mitigation practitioners must grapple with them, including in the cycles of blame and inquiry that follow natural hazard events. We present a synthesis of such practitioner experiences from three consequential bushfire and flood risk landscapes in Australia in which science was being used to change policy and/or practice. We show how they chose to work with, counter and recalibrate unrealistic expectations of science, as well as embrace socionatural complexity and a consequential nature. The mismatch between the challenges faced by the sector and the unrealistic expectations of science, generated more stressful work conditions, less effective risk mitigation, and less effective use of research monies. In response, we argue for structural and procedural change to address legacy pathways that automatically privilege science, especially in relation to nature, with broader relevance for other environmental issues. This is not to dismiss or debase science, but to better understand its use and utility, including how facts and values relate.

A Decision Methodology for Determining Suitable Post-Disaster Accommodations: Reconsidering Effective Indicators for Decision-making Processes

2020 ◽  
Vol 17 (3) ◽  
Author(s):  
S. M. Amin Hosseini ◽  
Albert de la Fuente ◽  
Oriol Pons ◽  
Carmen Mendoza Arroyo
Keyword(s):  
Decision Making ◽  
Case Studies ◽  
Natural Hazard ◽  
Recovery Process ◽  
Decision Making Process ◽  
Temporary Housing ◽  
Universal Approach ◽  
Decision Making Processes ◽  
Main Factors ◽  
Post Disaster

AbstractOne of the main challenges in assisting displaced persons who have lost their homes as a result of a natural hazard is the provision of adequate post-disaster accommodations, such as temporary housing. Although the need for temporary housing has increased around the world in recent years, it has been criticized on economic, environmental, and social grounds. A universal approach to post-disaster accommodations cannot successfully deal with this issue because each recovery process involves a unique set of conditions. Therefore, rather than defining a specific strategy, this study aims to present an approach capable of producing customized strategies based on contextual and social conditions. To this end, first, the main factors influencing the choice of post-disaster accommodations are identified through five case studies. It is concluded that all of the factors can be organized into three main vertices to simplify the highly complex issues involved in post-disaster accommodations. The case studies also show that the decision-making process consists of two main parts. To date, a recurring failure to distinguish between these two parts has led to unsuitable outcomes. Thus, this paper presents a new decision-making methodology, consisting of multiple steps, phases, and indicators based on the main vertices.

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