scholarly journals INTRODUCING A METHOD OF URBAN SOIL RISK EVALUATION – A CASE STUDY ON URBAN RECREATIONAL AREAS IN CLUJ NAPOCA

2016 ◽  
Vol 20 (4) ◽  
Author(s):  
ANDRA CRISTINA GAGIU ◽  
ELENA MARIA PICA ◽  
CLAUDIU TANASELIA ◽  
MONICA URSU

Assessing risks related to urban soil contamination represents a key part of pollution management. The current research proposes a quantitative method that defines and highlights unacceptable risks. The applicability of the method is presented in a case study on several urban recreational areas from the city of Cluj-Napoca, Romania. Concentrations of As, Cu, Cd, Zn, Pb, Hg, Co, Ni and Mg were identified in a number of 48 soil samples from 12 intensively used recreational areas in Cluj-Napoca. The proposed risk assessment method is applied, and potential risks are calculated for all locations.

2020 ◽  
Vol 34 (5) ◽  
pp. 627-640 ◽  
Author(s):  
Shi Xianwu ◽  
Qiu Jufei ◽  
Chen Bingrui ◽  
Zhang Xiaojie ◽  
Guo Haoshuang ◽  
...  

Author(s):  
Zuzhen Ji ◽  
Dirk Pons ◽  
John Pearse

Successful implementation of Health and Safety (H&S) systems requires an effective mechanism to assess risk. Existing methods focus primarily on measuring the safety aspect; the risk of an accident is determined based on the product of severity of consequence and likelihood of the incident arising. The health component, i.e., chronic harm, is more difficult to assess. Partially, this is due to both consequences and the likelihood of health issues, which may be indeterminate. There is a need to develop a quantitative risk measurement for H&S risk management and with better representation for chronic health issues. The present paper has approached this from a different direction, by adopting a public health perspective of quality of life. We have then changed the risk assessment process to accommodate this. This was then applied to a case study. The case study showed that merely including the chronic harm scales appeared to be sufficient to elicit a more detailed consideration of hazards for chronic harm. This suggests that people are not insensitive to chronic harm hazards, but benefit from having a framework in which to communicate them. A method has been devised to harmonize safety and harm risk assessments. The result was a comprehensive risk assessment method with consideration of safety accidents and chronic health issues. This has the potential to benefit industry by making chronic harm more visible and hence more preventable.


2019 ◽  
Vol 25 (3) ◽  
pp. 133-152
Author(s):  
Byounggap Kim ◽  
Seongyoon Lim ◽  
Seung-Yeoub Shin ◽  
Sunghyun Yum ◽  
Yu-Yong Kim ◽  
...  

Abstract. Annually, tractor accidents are estimated to account for more than 100 deaths in South Korea. Periodic accident surveys have served as an essential means for the National Institute of Agricultural Sciences (NAS) to develop strategies to prevent tractor accidents. In this study, hazards leading to accidents were identified, and their risks were assessed based on survey results to establish a more effective accident prevention strategy. Risk assessment for hazards proceeded as follows: hazard identification, frequency estimation, number of equivalent fatalities (NEF) estimation, and finally risk evaluation. Hazards were identified by analyzing 588 accident cases from NAS surveys and performing an expert review of the analysis results by implementing a Delphi survey. The frequency and NEF of each hazard were estimated by multiplying its probabilities and the statistical results of the NAS surveys. Each hazard was plotted in a frequency-NEF (FN) diagram and evaluated according to its position. Fifty-four hazards were identified, and their frequencies and NEF values were estimated. The risk evaluation results, based on the FN diagram, revealed that no hazard was located in the “unacceptable” area, and two hazards (carelessness and not looking ahead carefully) were in the “as low as reasonably practicable” area. Thus, it is critical to mitigate the effects of these two hazards. With the risk assessment method used in this study, personnel who are engaged in the prevention of tractor accidents, such as policymakers, extension specialists, and researchers, can quantitatively predict how many cases or fatalities can be reduced by eliminating a certain hazard. Keywords: Equivalent fatality, Frequency estimation, Hazard identification, Risk assessment, Tractor accident.


Author(s):  
Elena Grigore ◽  
Norman Garrick ◽  
Raphael Fuhrer ◽  
Ing. Kay W. Axhausen

“Bikeability” is becoming increasingly relevant in the field of transport- and urban planning. However, it is often unclear how bikeability is defined, let alone how it can be modeled. The goal of this project was to develop a quantitative method to model bikeability. A case study area in the city of Basel, Switzerland was selected for assessing the model. Here “bikeability” is understood as a measure of the ability and convenience in reaching important destinations by bike, based on the travel distance weighted by the perceived safety, -comfort, and -attractiveness of the streets and intersections along the routes. The underlying assumption was that cyclists try to minimize the distance traveled and maximize the perceived safety, -comfort, and -attractiveness of their route of choice. Unlike most of the previous bikeability assessments we reviewed, our method used existing route choice studies to identify attributes for quantifying cycling quality, which presumably results in a model that more accurately reflects real-life behavior. Many relevant attributes that have not been captured by previous models are included in this work, such as the high curbs of tram stops, tram tracks, and the turn direction at intersections. The method is suitable for several applications in urban planning, such as the identification of locations that need improvement and the comparison of planning measures. The current model covers conventional bikes used by commuting cyclists. However, the method could be used for E-bikes and non-commuting cyclists by applying the appropriate input values.


2014 ◽  
Vol 1001 ◽  
pp. 484-491
Author(s):  
Marcela Malindžáková ◽  
Andrea Rosová

The aim of this article is to describe the optimization of ashes processing technological line. The statistical and economic tool (risk assessment criteria) that is used in this article help to identify weaknesses in the ashes processing, managing process and potential risks and bottlenecks, thus helping to achieve better control over the process, minimizing the impact on the environment. Keywords: Ash processing, Waste storage, Risk assessment.


Author(s):  
Raza Ali Mehdi ◽  
Michael Baldauf ◽  
Hasan Deeb

This work focuses on the development of a deterministic dynamic risk method that can be used by operational end-users such as seafarers, when navigating in restricted waters where there is spatial conflict due to multi-use of marine areas by the shipping and offshore renewable energy industries. The developed method can also be used during the planning stages of offshore renewable energy installations. A case study of vessel operations near an offshore wind farm is also presented. The article also briefly discusses the potential application of manoeuvring-based dynamic risk methods to resolve spatial conflicts in the maritime, as well as other transport domains.


2018 ◽  
Vol 247 ◽  
pp. 00018
Author(s):  
Adam Krasuski ◽  
Łukasz Kuziora

In this article, we discuss various methods for risk categorization. We consider a statistical decision theory-based method, risk matrices, derivation of the risk acceptance level from fire data, and a comparative study. The values of risk used in the categorization process derive from multisimulation - a probabilistic fire risk assessment method. Following the theoretical description of the methods, a case study of a five story hotel building 20.000 m2 is elaborated and discussed as proof of concept. Based on the case study we reveal the shortcomings of the methods compared.


2014 ◽  
Vol 114 (9) ◽  
pp. 1499-1518 ◽  
Author(s):  
Remigiusz Romuald Iwańkowicz ◽  
Wlodzimierz Rosochacki

Purpose – The purpose of this paper is to develop a risk assessment method for production processes of large-size steel ship hulls. Design/methodology/approach – This study uses a quantitative-probabilistic approach with involvement of clustering technique in order to analyse the database of accidents and predict the process risk. The case-based reasoning is used in here. A set of technological hazard classes as a basis for analysing the similarities between the production processes is proposed. The method has been explained using a case study on large-size shipyard. Findings – Statistical and clustering approach ensures effective risk managing in shipbuilding process designing. Results show that by selection of adequate number of clusters in the database, the quality of predictions can be controlled. Research limitations/implications – The suggested k-means method using the Euclidean distance measure is initial approach. Testing the other distance measures and consideration of fuzzy clustering method is desirable in the future. The analysis in the case study is simplified. The use of the method according to prediction of risk related to loss of health or life among people exposed to the hazards is presented. Practical implications – The risk index allows to compare the processes in terms of security, as well as provide significant information at the technology design stage of production task. Originality/value – There are no studies on quantitative methods developed specifically for managing risks in shipbuilding processes. Proposed list of technological hazard classes allows to utilize database of past processes accidents in risk prediction. The clustering method of analysing the database is agile thanks to the number of clusters parameter. The case study basing on actual data from the real shipyard constitutes additional value of the paper.


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