scholarly journals A quantitative risk assessment method for synthetic biology products in the environment

2021 ◽  
Author(s):  
Taylor Rycroft ◽  
Kerry Hamilton ◽  
Charles Haas ◽  
Igor Linkov

The need to prevent possible adverse environmental health impacts resulting from synthetic biology (SynBio) products is widely acknowledged in both the SynBio risk literature and the global regulatory community. However, discussions of potential risks of SynBio products have been largely speculative, and the attempts to characterize the risks of SynBio products have been non-uniform and entirely qualitative. As the discipline continues to accelerate, a standardized risk assessment framework will become critical for ensuring that the environmental risks of these products are characterized in a consistent, reliable, and objective manner that incorporates all SynBio-unique risk factors. Current established risk assessment frameworks fall short of the features required of this standard framework. To address this, we propose the Quantitative Risk Assessment Method for Synthetic Biology Products (QRASynBio) – an incremental build on established risk assessment methodologies that supplements traditional paradigms with the SynBio risk factors that are currently absent and necessitates quantitative analysis for more transparent and objective risk characterizations. The proposed framework facilitates defensible quantification of the environmental risks of SynBio products in both foreseeable and hypothetical use scenarios. Additionally, we show how the proposed method can promote increased experimental investigation into the likelihood of hazard and exposure parameters and highlight the parameters where uncertainty should be reduced, leading to more targeted risk research and more precise characterizations of risk.

Author(s):  
Gokcen Ogutcu ◽  
Serhat Akin

This study concentrates on risk factors in oil field pipeline systems and covers identification of failure rate and reasons of failure comparison of the failure data, which are collected from oilfield pipeline systems located in South East Turkey. There are many methods and techniques to reduce or eliminate risk factors in pipeline systems. In this study, quantitative risk assessment method, which depends on statistical calculations, was applied. Monte Carlo Simulation was used to assess the risk in the system. This study focuses on identification of relationship between all parameters. History matching frequency, identification of critical factors, probability of density function have been estimated and calculated. The most significant failures are identified as corrosion, third party damage, mechanical failure, operational failure, weather effect and sabotage.


2021 ◽  
Vol 420 ◽  
pp. 129893
Author(s):  
Zijian Liu ◽  
Wende Tian ◽  
Zhe Cui ◽  
Honglong Wei ◽  
Chuankun Li

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