Quantitative risk assessment of a hydrogen refueling station by using a dynamic physical model based on multi-physics system-level modeling

2021 ◽  
Author(s):  
Tomoya Suzuki ◽  
Kaname Kawatsu ◽  
Kento Shiota ◽  
Yu-ichiro Izato ◽  
Masahiro Komori ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Physical Model ◽  
Quantitative Risk Assessment ◽  
System Level ◽  
Model Based ◽  
System Level Modeling

Risk Assessment of City Village Reconstruction Demolition Engineering in Urban Sustainable Development

2012 ◽  
Vol 524-527 ◽  
pp. 2680-2683
Author(s):  
Xiao Jun Liu ◽  
De Xing Lan
Keyword(s):  
Risk Assessment ◽  
Sustainable Development ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Quantitative Risk Assessment ◽  
System Level ◽  
The Sustainable Development ◽  
Project Risks ◽  
Object Of Study ◽  
City Village

In the past decade, China’s urbanization speed was very quick, many villages in suburb have became city villages. City villages are dirty, chaotic, poor and without reasonable planning and design, this has became a serious problem which constraints of city sustainable development. This paper take Xi’an city village reconstruction demolition engineering projects as the main object of study, use the method of fuzzy comprehensive evaluation combined with system-level analysis in demolition of city village reconstruction project for quantitative risk assessment, identify the key risk factors, and measures proposed for the development enterprises to reduce project risks and promote the sustainable development of the city.

A semi-quantitative risk assessment model for the outbreak of grass carp hemorrhage

2013 ◽  
Vol 19 (3) ◽  
pp. 521-527 ◽  
Author(s):  
Song YANG ◽  
Shuqin WU ◽  
Ningqiu LI ◽  
Cunbin SHI ◽  
Guocheng DENG ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Grass Carp ◽  
Assessment Model ◽  
Quantitative Risk Assessment ◽  
Risk Assessment Model

Risk assessment of Campylobacter species in shellfish: identifying the unknown

1997 ◽  
Vol 35 (11-12) ◽  
pp. 29-34 ◽  
Author(s):  
P. Teunis ◽  
A. Havelaar ◽  
J. Vliegenthart ◽  
G. Roessink
Keyword(s):  
Risk Assessment ◽  
Quantitative Risk Assessment ◽  
Contamination Level ◽  
Risk Of Infection ◽  
Worst Case ◽  
Considerable Uncertainty ◽  
Risk Estimates ◽  
Consumption Data ◽  
Campylobacter Infection ◽  
Campylobacter Spp

Shellfish are frequently contaminated by Campylobacter spp, presumably originating from faeces from gulls feeding in the growing or relaying waters. The possible health effects of eating contaminated shellfish were estimated by quantitative risk assessment. A paucity of data was encountered necessitating many assumptions to complete the risk estimate. The level of Campylobacter spp in shellfish meat was calculated on the basis of a five-tube, single dilution MPN and was strongly season-dependent. The contamination level of mussels (<1/g) appeared to be higher than in oysters. The usual steaming process of mussels was found to completely inactivate Campylobacter spp so that risks are restricted to raw/undercooked shellfish. Consumption data were estimated on the basis of the usual size of a portion of raw shellfish and the weight of meat/individual animal. Using these data, season-dependent dose-distributions could be estimated. The dominant species in Dutch shellfish is C. lari but little is known on its infectivity for man. As a worst case assumption, it was assumed that the infectivity was similar to C. jejuni. A published dose-response model for Campylobacter-infection of volunteers is available but with considerable uncertainty in the low dose region. Using Monte Carlo simulation, risk estimates were constructed. The consumption of a single portion of raw shellfish resulted in a risk of infection of 5–20% for mussels (depending on season; 95% CI 0.01–60%). Repeated (e.g. monthly) exposures throughout a year resulted in an infection risk of 60% (95% CI 7–99%). Risks for oysters were slightly lower than for mussels. It can be concluded that, under the assumptions made, the risk of infection with Campylobacter spp by eating of raw shellfish is substantial. Quantitative risk estimates are highly demanding for the availability and quality of experimental data, and many research needs were identified.

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