How Communities Can Use Risk Assessment Results

2011 ◽  
Keyword(s):  
Risk Assessment ◽  
Assessment Results

Use of Policy Risk Assessment Results in Political Decision Making

2013 ◽  
pp. 249-262
Author(s):  
Liliana Cori ◽  
Gabriel Guliš ◽  
Joanna Kobza ◽  
Ágnes Molnár ◽  
Jana Kollárová
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Political Decision ◽  
Policy Risk ◽  
Political Decision Making ◽  
Assessment Results

Cardiovascular Risk Assessment: Results from the Framingham Offspring Study

2018 ◽  
Vol 12 (2) ◽  
pp. 522-523
Author(s):  
Ernst Schaefer ◽  
Hiroaki Ikezaki ◽  
Virginia Fisher ◽  
Ching-ti Liu ◽  
L. Cupples
Keyword(s):  
Risk Assessment ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Assessment ◽  
Assessment Results

Defining Susceptibility for Microbial Risk Assessment: Results of a Workshop

Risk Analysis ◽  
2004 ◽  
Vol 24 (1) ◽  
pp. 197-208 ◽  
Author(s):  
John Balbus ◽  
Rebecca Parkin ◽  
Anna Makri ◽  
Lisa Ragain ◽  
Martha Embrey ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Microbial Risk Assessment ◽  
Microbial Risk ◽  
Assessment Results

Uncertainty Estimation During the Process of Flood Risk Assessment in Developing Countries – Case Study in the Pampanga River Basin –

2014 ◽  
Vol 9 (1) ◽  
pp. 69-77 ◽  
Author(s):  
Toshio Okazumi ◽  
◽  
Mamoru Miyamoto ◽  
Badri Bhakta Shrestha ◽  
Maksym Gusyev
Keyword(s):  
Risk Assessment ◽  
Developing Countries ◽  
Data Collection ◽  
Flood Risk ◽  
Poor Quality ◽  
Quality Data ◽  
Flood Risk Assessment ◽  
Assessment Task ◽  
Damage Data ◽  
Assessment Results

Flood risk assessment should be one of the basic methods for disaster damage mitigation to identify and estimate potential damage before disasters and to provide appropriate information for countermeasures. Existing methods usually do not account for uncertainty in risk assessment results. The concept of uncertainty is especially important for developing countries where risk assessment results may often be unreliable due to inadequate and poor quality data. We focus on three questions concerning risk assessment results in this study: a) How much does lack of data in developing countries influence flood risk assessment results? b) Which datamost influence the results? and c) Which data should be prioritized in data collection to improve risk assessment effectiveness? We found the largest uncertainty in the damage data among observation, model, and agricultural damage calculations. We conclude that reliable disaster damage data collection must be emphasized to obtain reliable flood risk assessment results and prevent uncertainty where possible. We propose actions to improve assessment task efficiency and investment effectiveness for developing countries.

Integrated Risk Assessment — Results from an International Workshop

2003 ◽  
Vol 9 (1) ◽  
pp. 379-386 ◽  
Author(s):  
Wayne R. Munns ◽  
Glenn W. Suter II ◽  
Terri Damstra ◽  
Robert Kroes ◽  
Lawrence W. Reiter ◽  
...  
Keyword(s):  
Risk Assessment ◽  
International Workshop ◽  
Integrated Risk Assessment ◽  
Integrated Risk ◽  
Assessment Results

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.

scholarly journals Risk assessment method of coal and gas outburst based on improved comprehensive weighting and cloud theory

2021 ◽  
pp. 014459872110558
Author(s):  
Chunhua Zhang ◽  
Dengming Jiao ◽  
Ziwen Dong ◽  
Hongyu Zhang
Keyword(s):  
Risk Assessment ◽  
Coal Seam ◽  
Ideal Point ◽  
Assessment Method ◽  
Coal And Gas Outburst ◽  
Coal Seams ◽  
Gas Outburst ◽  
Risk Assessment Method ◽  
Cloud Theory ◽  
Assessment Results

Risk assessment is an effective method of accident prevention and is vital to actual production. To reduce the risk of mining accidents and realize green and sustainable coal mining, a coal and gas outburst risk assessment method based on the improved comprehensive weight and cloud theory is proposed. The proposed method can effectively solve problems of fuzziness and randomness, index weight deviation, and correlation between indexes in risk assessment, as well as improve the accuracy and rationality of assessment. Nine influencing factors that correspond to coal seam occurrence and geological characteristics, coal seam physical characteristics, and gas occurrence characteristics are selected to establish the risk assessment index system of coal and gas outburst. Using the improved group G1 method and improved CRITIC method to obtain the subjective and objective weights, the ideal point method is used to obtain the comprehensive weight. Using the normal cloud model of cloud theory and the comprehensive weight to assess engineering examples 1–2, the No. 3 coal seam of a mine in Shanxi, and the 21 coal seam of a mine in Henan, the risk grade of coal and gas outburst is determined and then compared with the assessment results obtained from the engineering examples and the actual situations of the above mentioned coal seams. The results show that the coal and gas outburst risks of engineering examples 1–2, No. 3 coal seam, and 21 coal seam are of grades IV, IV, II, and IV, respectively. The No. 3 coal seam and 21 coal seam belong to lower and higher risk categories, respectively. The assessment results are consistent with the actual situation of the coal seams, thereby confirming the rationality and accuracy of the proposed method. This study expands the methods of coal and gas outburst risk assessment and facilitates the formulation of effective preventive measures.

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