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.

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

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

Development and Implementation of a Liquid Pipeline Quantitative Risk Assessment Model

2014 ◽  
Author(s):  
Jerico Perez ◽  
David Weir ◽  
Caroline Seguin ◽  
Refaul Ferdous
Keyword(s):  
Risk Assessment ◽  
Risk Reduction ◽  
Assessment Tool ◽  
Assessment Model ◽  
Quantitative Risk Assessment ◽  
Pipeline System ◽  
Risk Assessment Model ◽  
Worst Case ◽  
Risk Appetite ◽  
Assessment Results

To the end of 2012, Enbridge Pipelines employed an in-house developed indexed or relative risk assessment algorithm to model its liquid pipeline system. Using this model, Enbridge was able to identify risk control or treatment projects (e.g. valve placement) that could mitigate identified high risk areas. A changing understanding of the threats faced by a liquid pipeline system and their consequences meant that the model changed year over year making it difficult to demonstrate risk reduction accomplished on an annual basis using a relative scoring system. As the development of risk management evolved within the company, the expectations on the model also evolved and significantly increased. For example, questions were being asked such as “what risk is acceptable and what risk is not acceptable?”, “what is the true risk of failure for a given pipe section that considers the likelihood of all threats applicable to the pipeline”, and “is enough being done to reduce these risks to acceptable levels?” To this end, starting in 2012 and continuing through to the end of 2013, Enbridge Pipelines developed a quantitative mainline risk assessment model. This tool quantifies both threat likelihood and consequence and offers advantages over the indexed risk assessment model in the following areas: • Models likely worst case (P90) rupture scenarios • Enables independent evaluation of threats and consequences in order to understand the drivers • Produces risk assessment results in uniform units for all consequence criteria and in terms of frequencies of failure for likelihood • Aggregates likelihood and consequence at varying levels of granularity • Uses the risk appetite of the organization and its quantification allows for the setting of defined high, medium, and low risk targets • Quantifies the amount of risk in dollars/year facilitating cost-benefit analyses of mitigation efforts and risk reduction activities • Grounds risk assessment results on changes in product volume-out and receptor sensitivity • Balances between complexity and utility by using enough information and data granularity to capture all factors that have a meaningful impact on risk Development and implementation of the quantitative mainline risk assessment tool has had a number of challenges and hurdles. This paper provides an overview of the approach used by Enbridge to develop its quantitative mainline risk assessment model and examines the challenges, learnings and successes that have been achieved in its implementation.

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.

Sign in / Sign up

Export Citation Format

Share Document