scholarly journals A Review of the Possibility of Assessment Indicators for Natural Disaster Risk Analysis through Expert Survey

2021 ◽  
Vol 21 (1) ◽  
pp. 47-55
Author(s):  
Keumji Kim ◽  
Jeonggeun Hwang ◽  
Gahui Kim ◽  
Dojoon Jung

In recent years, the frequent occurrence of extreme weather due to climate change has increased the possibility of potential danger across the world. Additionally, South Korea has been consistently exposed to disaster risk. Studies on the prediction of damage from natural disasters are critical for the government and local governments to formulate disaster recovery policies. However, the scope of risk analysis evaluation indicators currently utilized by the relevant organizations comprises limitations, as there are no consistent standards for indicator selection. From this viewpoint, this study selected 118 surrogate indicators, including indicators frequently used in previous studies, and conducted a survey with 52 experts in the disaster field to examine the possibility of use of these indicators. As a result of the expert survey, 37 indicators were analyzed as “very appropriate” and 54 indicators were analyzed as “appropriate” regarding their possibility of use. Finally, we suggested four natural disaster risk assessment methods, which can be used in policymaking by the government and local governments in the future.

2011 ◽  
Vol 225-226 ◽  
pp. 839-842 ◽  
Author(s):  
Lu Hao ◽  
Xiao Yu Zhang ◽  
Zhi Liang Shu

Accurate assessment to disaster risk is one of the keys to reducing disaster losses. However, due to the fact that the disaster situation data series in county unit are always relatively short, available data are often not sufficient for disaster risk analysis. In this paper, a risk analysis method based on information diffusion theory was applied to create a new disaster risk analysis model (CURAM), and the risk of disaster can be evaluated on higher spatial resolution of county unit. Visual Basic and Map Objects were used to establish CURAM applying object oriented technique and component technique. CURAM provided risk evaluate function to natural disaster in county unit, and thematic map making and output, etc. The risk assessment results calculated by CURAM indicated that information diffusion technology was highly capable of extracting useful information and therefore improved system recognition accuracy.


Author(s):  
Dae Woong Lee

Purpose This study aims to provide an analysis and evaluation of infrastructure resilience, one of the components of disaster resilience, to natural hazards. Design/methodology/approach The analysis of this study consists of four stages. First, descriptive statistical analyses were carried out on the soft and hard infrastructure resilience and natural hazard index. Second, the spatial data were visualized through the exploratory spatial data analysis to understand the spatial distribution and spatial characteristics of variables of the data. Third, the local indicators of the spatial association method were used to identify areas in clusters where infrastructure resilience is weak. Fourth, comparisons were made between the soft and hard infrastructure resilience and natural hazard index: the level of natural hazard is high but the soft and infrastructure resilience remain very vulnerable to disaster. Findings The study found that infrastructure resilience varies from community to community, particularly in the same community, in terms of hard infrastructure and soft infrastructure. In addition, the comparative analysis between infrastructure resilience and disaster risk levels resulted in communities that were likely to suffer greatly in the event of a disaster. Originality/value This study is meaningful in that infrastructure resilience of Korean local governments was discussed by dividing them into soft and hard infrastructure and comparing them to natural disaster risk levels. In particular, the comparison with the natural disaster risk level identified local governments that are likely to experience significant damage from the natural disaster, which is meaningful in that it serves as a basis for policy practitioners to actively build infrastructure and respond to disasters.


2020 ◽  
Vol 4 (1) ◽  
pp. 35-41
Author(s):  
Rudi SUBIYAKTO

Cilacap Regency is one of the areas that have the highest level of natural disaster vulnerability in Central Java. Various types of disasters have the opportunity to occur and have an impact on the entire region. To anticipate the impact of these potential natural disasters, the district government has issued a contingency plan to reduce the risk of disasters. This study aims to describe how to reduce the risk of natural disasters through contingency planning. The study uses a qualitative approach with the case study method. Data and information obtained through focus group discussions (FGD), interviews, and documentation studies. The informants were determined purposively, coming from elements of the government, private sector, and a community of 25 people. The results of the study illustrate that the role of contingency planning is very important to reduce disaster risk. The contingency plan document clearly contains various guidelines and technical steps taken by stakeholders in anticipating natural disasters. The guidelines for the action plan are supported by techniques that can be easily learned so that the stages of the process of how to anticipate natural disasters can be carried out by anyone. The implementation of a natural disaster risk reduction contingency plan in the Cilacap Regency received support from the implementer, the environment, resources, and disposition. Key words: Contingency Planning, Mitigation, Policy


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