transport of dangerous goods and risk management - Kirilo SaviÄ

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TRANSPORT OF DANGEROUS GOODS AND RISK MANAGEMENT 106A preliminary hazard analysis should enable the determination of the potential hazards that has the greatest negativeimpact on the protected value at a given moment or at estimated time 5) . Preliminary hazard analysis should result inthe graph (Figure 4) that allows visual monitoring of the size of risk. (Sizes in the horizontal section relates to thenumber of potential hazards in Table 2) 4) .Figure 3. The results of the preliminary hazard analysisRISK ANALYSISRisk analysis refers to the understanding of potential dangers (hazards). Methodology of integrated risk assessmentprovides a complete and accurate developed criteria for determining the probability of occurrence of the negativeevents and the size of the impact it can cause.Starting from the definition that risk is the likelihood that potential danger (hazard) will turn into a potentiallydangerous event and cause negative effects on protected values, it is necessary to establish criteria for determiningthe probability and consequences of events 8) .Probability (P) is a combination of the frequency of certain events and the vulnerability of the organization 5) bysome potential dangers (Matrix 1.).Gradation of probability is done as follows:1 - Impossible, 2-Unlikely, 3-Likely, 4 - Almost certainly, 5 - CertainlyThe probability is determined by the form: P = F # V .................................................................................... (1)Frequency (F) refers to the repetition of negative events in a specific time period (T1) or to the time exposure ofthe protected value to the potential danger in a particular time (T2) 4) .Gradation of frequency is done as follows:1 - Very rarely, 2 - Occasionally, 3 - Often, 4 - Predominantly, 5 - Very often - T1 or1 - Negligible, 2 - Occasional, 3 - Long, 4 - Predominantly, 5 - Permanent - T2Vulnerability (V) is the current state of protection of the organization or sensitivity to the potential danger of theorganization 5) .Gradation of vulnerability is performed as follows:1 - Very large, 2 - Large, 3 - Average, 4 - Small, 5 - Very Small
TRANSPORT OF DANGEROUS GOODS AND RISK MANAGEMENT 107Vulner.Matrix 1. Determining the probabilityVery large Large Average Small Very smallFrequency1 2 3 4 5Very rarely 1 3 2 1 1 1Occasionally 2 4 3 2 2 1Often 3 5 4 3 2 2Predominantly 4 5 4 3 3 3Very often 5 5 5 4 3 3Example:Company registered for transport of goods performs transport of explosive by trucks on relation Serbia (Belgrade) -Greece (Thessaloniki). The potential danger: Poor quality of road on the territory of Serbia.Determining the likelihood of negative events:1. FREQUENCY:due to the bad roads, score of the accidents in the last 5 years is 10 - OCCASIONALLY oraproximately 50% of the highway through Serbia is of poor quality, therefore, the time exposure of theburden to the potential danger is about 50% of the total time of transport through Serbia –OCCASIONALLY;2. VULNERABILITY:Vehicles are equipped with electronic suspension control system by which shocks and movement of freight arereduced – SMALL.Using Form (1) and matrix 1., the determination is: PROBABILITY = 2 = UNLIKELY.Conclusion: The probability that the perceived danger is becoming a potential negative event is very small.3. CONSEQUENCES:Consequences (C) are (Matrix 2) the effects of the negative events on the protected values and are manifestedthrough the size of the loss in relation to the critical protected values 5) .Gradation of result is done as follows:1 - Minimal, 2 - Small, 3 - Moderate, 4 - Serious, 5 - CatastrophicConsequences are determined according to the form:C = L # Cr.................................................................................................................................................. (2)
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ISBN 978-86-83059-06-5Editor-in-Chi
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TRANSPORT OF DANGEROUS GOODSAND RIS
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EDITORIALLand transport Pan- Europe
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Contents:INTEGRATED MODEL AND INFOR
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TRANSPORT OF DANGEROUS GOODS AND RI
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Figure 3. Algorithm of Security Dat
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Figure 5. Algorithm of Ship Waste M
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Figure 7. Original Algorithm of Imp
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Figure 11. Original Algorithm of th
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Figure 13. Original Algorithm of th
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Figure 15. Original Algorithm of Ot
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Figure 18. The original algorithm o
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Figure 20. Original Algorithm of Ac
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Figure 23. Original Algorithm of In
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Figure 25. Original Algorithm of Ac
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Table 1. Classification of waste th
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Table 3 Classification of waste tha
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Page 65 and 66: Table 3d: Classification of waste t
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Page 75 and 76: Table 6 Classes of the compounds th
Page 77 and 78: Table 6b Classes of the compounds t
Page 85 and 86: Table 8. Typical hazardous waste ma
Page 87 and 88: Figure 5.- Life cycle for oiled sol
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Page 107 and 108: Software part of Sledat systemTRANS
Page 109 and 110: BIBLIOGRAPHYTRANSPORT OF DANGEROUS
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Page 121 and 122: UDK:614.83:624.21TRANSPORT OF DANGE
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INTEGRATED C4I SYSTEMSTRANSPORT OF
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UDK:355.69614.878.084TRANSPORT OF D
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Oil, gas and mineralsTRANSPORT OF D
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UDK:811.111'25TRANSPORT OF DANGEROU
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CIP - Каталогизација
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transport of dangerous goods and risk management - Kirilo SaviÄ