Three Conceptions of Quantified Societal Risk

1998 ◽  
pp. 1-18 ◽  
Author(s):  
Pieter Jan M. Stallen ◽  
Rob Geerts ◽  
Han K. Vrijling
Keyword(s):  
Societal Risk

A Study on the Risk Criteria for Korea and Assessment Method of Societal Risk Using KORA

2019 ◽  
Vol 7 (1) ◽  
pp. 79-89
Author(s):  
Min Su Seo ◽  
Young Hun Choi ◽  
Young Woo Chon ◽  
Young Woo Hwang
Keyword(s):  
Assessment Method ◽  
Risk Criteria ◽  
Societal Risk

An Application of FSA Methodology to the Safety of Bulk Chemical Tankers

2011 ◽  
Vol 219-220 ◽  
pp. 937-940
Author(s):  
Bin Yu ◽  
Yong Xing Jin ◽  
Bin Zheng ◽  
Xiao Dong Zhang
Keyword(s):  
Detailed Analysis ◽  
Safety Assessment ◽  
Maritime Industry ◽  
Acceptance Criterion ◽  
Formal Safety Assessment ◽  
Societal Risk ◽  
Bulk Chemical ◽  
Risk Acceptance

Based on detailed analysis of the risk of bulk chemical tanker transportation, a societal risk acceptance criterion is established. The criterion takes advantage of formal safety assessment (FSA) methodology, which is widely used to analyze risk in maritime industry. In the end of this paper, the negligible range, the ALARP range and the intolerable range of bulk chemical tanker in China are estimated in the criterion.

Population Densities Allowed Around Dutch SEVESO Establishments

2000 ◽  
Author(s):  
G. M. H. Laheij ◽  
B. J. M. Ale ◽  
J. G. Post
Keyword(s):  
Population Density ◽  
The Netherlands ◽  
Individual Risk ◽  
Population Densities ◽  
Planning Policy ◽  
Relative Contribution ◽  
Societal Risk ◽  
Dangerous Substances ◽  
The Individual ◽  
Uniform Population

Abstract In the Netherlands, the individual risk and societal risk are used in efforts to reduce the number of people exposed to the effect of an accident at an establishment with dangerous substances. To facilitate the societal risk planning policy an investigation was carried out for the Dutch SEVESO establishments to investigate the possibility of determining a generic uniform population density for the zone between the individual risk contours of 10−5 and 10−6 per year. The indicative limit for the societal risk at this density was not to be exceeded. Also there was to be enough space left for a significantly higher population density outside the individual risk contour of 10−6 per year. The RORISC methodology and the actual data for the 124 Dutch SEVESO establishments were used to determine the generic uniform population density. Based on the data available it can be concluded that the maximum allowed uniform population density in the zone between the individual risk contours of 10−5 and 10−6 per year is lower than one person per hectare. At this density there is no space left for a higher population density outside the individual risk contour of 10−6 per year. For uniform population densities the relative contribution to the societal risk has been found significant up to the individual risk contour of 10−7 per year.

scholarly journals Societal risk assessment of terminal and oil refinery unit

2021 ◽  
Vol 1052 (1) ◽  
pp. 012025
Author(s):  
AAB Dinariyana ◽  
KB Artana ◽  
DW Handani ◽  
FI Sarasvati ◽  
PW Aprilia
Keyword(s):  
Risk Assessment ◽  
Oil Refinery ◽  
Societal Risk

scholarly journals Societal landslide and flood risk in Italy

2010 ◽  
Vol 10 (3) ◽  
pp. 465-483 ◽  
Author(s):  
P. Salvati ◽  
C. Bianchi ◽  
M. Rossi ◽  
F. Guzzetti
Keyword(s):  
Flood Risk ◽  
Mass Function ◽  
Landslide Risk ◽  
Probability Mass Function ◽  
Scaling Exponent ◽  
Flood Events ◽  
Negative Power ◽  
Missing Persons ◽  
Italian Regions ◽  
Societal Risk

Abstract. We assessed societal landslide and flood risk to the population of Italy. The assessment was conducted at the national (synoptic) and at the regional scales. For the assessment, we used an improved version of the catalogue of historical landslide and flood events that have resulted in loss of life, missing persons, injuries and homelessness in Italy, from 1850 to 2008. This is the recent portion of a larger catalogue spanning the 1941-year period from 68 to 2008. We started by discussing uncertainty and completeness in the historical catalogue, and we performed an analysis of the temporal and geographical pattern of harmful landslide and flood events, in Italy. We found that sites affected by harmful landslides or floods are not distributed evenly in Italy, and we attributed the differences to different physiographical settings. To determine societal risk, we investigated the distribution of the number of landslide and flood casualties (deaths, missing persons, and injured people) in Italy, and in the 20 Italian Regions. Using order statistics, we found that the intensity of a landslide or flood event – measured by the total number of casualties in the event – follows a general negative power law trend. Next, we modelled the empirical distributions of the frequency of landslide and flood events with casualties in Italy and in each Region using a Zipf distribution. We used the scaling exponent s of the probability mass function (PMF) of the intensity of the events, which controls the proportion of small, medium, and large events, to compare societal risk levels in different geographical areas and for different periods. Lastly, to consider the frequency of the events with casualties, we scaled the PMF obtained for the individual Regions to the total number of events in each Region, in the period 1950–2008, and we used the results to rank societal landslide and flood risk in Italy. We found that in the considered period societal landslide risk is largest in Trentino-Alto Adige and Campania, and societal flood risk is highest in Piedmont and Sicily.

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