Quantitative Risk Assessment Methods of Accounting for Probabilistic and Deterministic Data Applied to Complex Systems

Author(s):  
Dennis C. Bley ◽  
James G. Droppo ◽  
Vitaly A. Eremenko ◽  
Regina Lundgren
Epidemiology ◽  
2011 ◽  
Vol 22 ◽  
pp. S141
Author(s):  
Prashant Rai ◽  
Daniel Marsman ◽  
Denise Gutshall ◽  
Christel Lux ◽  
Mekhine Baccam ◽  
...  

2021 ◽  
Author(s):  
Ke Li ◽  
Dongsheng Liu ◽  
Yanlei Wang ◽  
Na She

Chongqing is located in southwestern China, and geological disasters occur frequently. The amount of potential landslide disasters is far greater than the number of landslides that can be managed by government funds, so the risk assessment for potential landslide disasters is critical. In practical applications, risk assessment methods based on landslide stability and loss are restricted by various factors. These methods can be simplified to semi-empirical assessment methods, which are influenced by the discrimination factors near the limit values of the determined conditions, possibly leading to sudden changes in the evaluation results and distort the conclusions. To solve this problem, we propose a full quantitative risk assessment method according to the probability of landslide damage. The mathematical probability model is used to quantitatively describe the risk assessment impacting factors, weaken the boundary influence, and improve the accuracy of landslide risk assessment. Correspondingly, the software is developed to conduct quantitative risk assessment on six landslides in Feng jie County, Chongqing, which verifies the accuracy and reliability of the full quantitative risk assessment method, and provides an important reference for judging urban landslide geological disasters.


Author(s):  
Fernanda B. Campagnollo ◽  
Juliana Lane Paixão dos Santos ◽  
Verônica O. Alvarenga ◽  
Rafael D. Chaves ◽  
Leonardo do Prado-Silva ◽  
...  

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