scholarly journals Development of a Future Disaster Risk Assessment Model for Climate Change Using Bayesian GLM and Statistical Downscaling Model

2011 ◽  
Vol 11 (6) ◽  
pp. 207-216
Author(s):  
Hyun-Han Kwon ◽  
Soo-Jeong Myeong
Keyword(s):  
Climate Change ◽  
Risk Assessment ◽  
Statistical Downscaling ◽  
Disaster Risk ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Statistical Downscaling Model ◽  
Disaster Risk Assessment

Snowstorm Risk Assessment in China Based on Environment & Disaster Monitoring and Predicting Small Satellite

2012 ◽  
Vol 518-523 ◽  
pp. 1616-1620
Author(s):  
Chao Lv ◽  
Hui Li Gong ◽  
Zhi Heng Wang
Keyword(s):  
Risk Assessment ◽  
Disaster Risk ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Small Satellite ◽  
Disaster Risk Assessment ◽  
Disaster Situation ◽  
Disaster Monitoring ◽  
Short Time ◽  
National Disaster

The snowstorm is one of the main disasters in prairie pastoral areas of China. Once the snowstorm happens, the human and the domestic animals in prairie pastoral areas will suffer the total destruction in a short time. Therefore, it is especially important to forecast the risk of the snowstorm disaster scientifically and reasonably. This paper proposed the snowstorm disaster risk assessment model in pastoral areas based on environment & disaster monitoring and predicting small satellite. After the massive experiment monitors and the contrast confirmation with the disaster situation data in National Disaster Reduction Center, the model forecasting result and the disaster situation statistical data have good uniformity from the space position and the risk degree. Case study shows that the snowstorm disaster risk assessment model is practical and feasible, and it provides important scientific method to further improve snowstorm disaster risk assessment ability in pastoral areas.

scholarly journals A Lightning Disaster Risk Assessment Model Based on SVM

2021 ◽  
Vol 3 (4) ◽  
pp. 183-190
Author(s):  
Jianqiao Sheng ◽  
Mengzhu Xu ◽  
Jin Han ◽  
Xingyan Deng
Keyword(s):  
Risk Assessment ◽  
Disaster Risk ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Model Based ◽  
Disaster Risk Assessment

scholarly journals Landslide Disaster Risk Assessment Model in Soppeng Regency, South Sulawesi

2019 ◽  
Vol 2 (2) ◽  
pp. 91-95
Author(s):  
Adi Maulana ◽  
Suharman Hamzah ◽  
Iswandi Utama ◽  
Jamal Rauf Husain
Keyword(s):  
Risk Assessment ◽  
Risk Reduction ◽  
Disaster Risk ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
South Sulawesi ◽  
Disaster Risk Assessment ◽  
Prone Area ◽  
Medium Level ◽  
Landslide Disaster

Landslide disaster risk assessment model has been proposed for Soppeng Regency which is located in the central part of South Sulawesi Province. Some areas in this regency are classified as landslide prone area based on its geological condition. This study is aimed to assess the landslide vulnerability level and produce a landslide vulnerability map by using mapping method as a basis to model the risk reduction assessment. The component of disaster risk assessment consists of threats, vulnerabilities, and capacities. These components are used to obtain the level of disaster risk in an area by calculating the potential for exposed lives, loss of property and environmental damage. The result shows that Soppeng Regency region has some areas that are prone to landslides with low-high levels. The Vulnerability Assessment is classified as medium level whereas the result of landslide disaster capacity assessment is also shown as medium level. Based on these analyses, it was concluded that Soppeng Regency had a high landslide threat index, with a medium exposed population index and a medium capacity index. The study of landslide disaster risk assessment in Soppeng Regency has shown that Soppeng Regency has been classified as landslide prone area with the medium risk level, especially in mountainous and river bank area. It is recommended that disaster risk assessment model should be used as one of the references for providing disaster risk mitigation plan in disaster risk reduction program.

Snow Disaster Risk Assessment in China Based on Environment & Disaster Monitoring and Predicting Small Satellite

2013 ◽  
Vol 765-767 ◽  
pp. 2996-2999
Author(s):  
Chao Lv ◽  
Hui Li Gong
Keyword(s):  
Risk Assessment ◽  
Disaster Risk ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Small Satellite ◽  
Disaster Risk Assessment ◽  
Disaster Situation ◽  
Fuzzy Math ◽  
Disaster Monitoring ◽  
National Disaster

The snow disaster is one of the main disasters in prairie pastoral areas of China. Once the snow disaster occurs, it will cause the death of a large amount of livestock due to the starvation and freezing weather. Therefore, it is especially important to forecast the risk of the snow disaster scientifically and reasonably. This paper proposed the snow disaster risk assessment model in pastoral areas based on the data of environment & disaster monitoring and predicting small satellite. Considering the random of snow disaster's occurrence and the fuzziness of snow disaster risk assessment, fuzzy math method was introduced in the study of snow disaster risk assessment. After the massive experiment monitors and the contrast confirmation with the disaster situation data in National Disaster Reduction Center, the model forecasting result and the disaster situation statistical data have good uniformity from the space position and the risk degree. Study shows that the snow disaster risk assessment model is practical and feasible, and it provides important scientific method to further improve snow disaster risk assessment ability in pastoral areas.

Construction of a sediment disaster risk assessment model

2012 ◽  
Vol 70 (1) ◽  
pp. 115-129 ◽  
Author(s):  
Yie-Ruey Chen ◽  
Po-Ning Ni ◽  
Kuang-Jung Tsai
Keyword(s):  
Risk Assessment ◽  
Disaster Risk ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Disaster Risk Assessment ◽  
Sediment Disaster

Snow Disaster Risk Assessment in China with the Multi-Layer Fuzzy Comprehensive Evaluation Method

2013 ◽  
Vol 726-731 ◽  
pp. 913-916
Author(s):  
Chao Lv ◽  
Hui Li Gong
Keyword(s):  
Risk Assessment ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Disaster Risk ◽  
Assessment Model ◽  
Historical Case ◽  
Assessment Index ◽  
Disaster Risk Assessment ◽  
Assessment Index System

The snow disaster is one of the main disasters in prairie pastoral areas of China. Once the snow disaster occurs, it will cause the death of a large amount of livestock due to the starvation and freezing weather. Therefore, it is especially important to forecast the risk of the snow disaster scientifically and reasonably. This paper established the snow disaster risk assessment index system firstly, and then established the snow disaster risk assessment model based on multi-layer fuzzy comprehensive evaluation. Finally, the massive experiment monitors and the contrast confirmation with the historical case data, showed that this model is practical and feasible, which conducted a useful attempt to further improve snow disaster risk assessment ability in pastoral areas.

scholarly journals The Study on Lightning Disaster Risk Assessment Model of 10kV Overhead Line

2018 ◽  
Vol 173 ◽  
pp. 01008
Author(s):  
Song wei ◽  
Wang Yanfeng ◽  
Wang shuanghu
Keyword(s):  
Risk Assessment ◽  
Social Impact ◽  
Distribution Network ◽  
Weight Ratio ◽  
Disaster Risk ◽  
Assessment Model ◽  
Theoretical Research ◽  
Risk Assessment Model ◽  
Overhead Line ◽  
The Impact

Taking all kinds of affecting factors into account, the 10kV overhead line of distribution network lighting disaster risk is studied. Historical hidden fault, line equipment, topography, climatic conditions and social impact are selected as key factors of damage and the impact. The correlation among the factors and the weight ratio of each factor were studied. The risk assessment model of 10kV distribution network overhead line was established by multi-factor, hierarchical classification assessment method. It solves the evaluation index insufficient problem of the single factor as the evaluation condition, and provides the theoretical research and practical support to the 10kV overhead line reconstruction and the lightning prevention. The reliability and effectiveness of the research results have been proved by practical application in distribution network operation and maintenance control.

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