Effective utilization of databases for preventing chemical accidents

Keywords: Process management with safety, Decision support system, Risk management program, accident reporting database, Emergency notifications.

Abstract

The industrial accidents are a matter of major concern to both the public and the environment and governments aim to minimize them by laying out different regulatory bodies to keep check on the impacts of chemical releases. However, many incident databases are relied on qualitative information instead of the quantitative as quantification from some databases is challenging to be taken into account. Nevertheless, accident/incident database can help decision support systems to consolidate completely into a single index that can assist in decision making for providing safety of both public and nature. In accordance to this, accident database taxonomy has been developed to reduce the severity and occurrence of the chemical accidents. It is proposed to integrate information from three types of databases (containing data on accidents, equipment failure, and chemical substances reactivity) which can prove to be a major breakthrough in reducing accidents.

References

Amyotte, P.R., Khan, F.I., & Dastidar, A.G. (2003). Reduce dust explosions the inherently safer way. Chemical Engineering Progress, 99(10), 36 - 43.

Barton, J., & Rogers, R.L. (1997). Chemical Reaction Hazards, 2nd Edition Rugby, UK: IchemE.

Bretherick, L. (2007). Bretherick’s Handbook of Reactive Chemical Hazards, 7th Edition, Elsevier.

Centre for Chemical Process Safety, Guidelines for Chemical Reactivity Evaluation and Application to Process Design. New York: AIChE, 1995.

Bond, J. (2003). C-MIST, Linking an accident database to design and operational software. IChemE Symposium, Hazards XVII, Manchester, UK, 2003

Kletz, T.A. (2006). Searchlights from the past. In 9th Annual Symposium, Mary Kay O’Connor Process Safety Center, Tezas A&M University, College Station, TX.

Kletz, T.A. (1986). HAZOP & HAZAN notes on the identification and assessment of hazards. Rugby, Warwickshire, UK: Institution of Chemical Engineers.

Goulding, J.P. (1994). European Union Seminar on Safety and Runaway Reactions. Frankfurt.

Rogers, R.L., & Hallam, S.A. (1991). Chemical approach to inherent safety. Trans I. Chem. E., 69, 149 - 152.

Mannan, M.S. (2005). Lee’s loss prevention in the process industries: hazard identification, assessment and control, 3rd ed. Butterworth – Heinemann, Massachusetts: Elsevier.

Hale, A.R., Ale, B.J.M., Goossens, L.H.J., Heijer, T., Bellamy, L.J., Mud, M.L., Roelen, A., Baksteen, H., Post, J., Papazoglou, I.A., Bloemhoff, A., & Oh, J.I.H. (2007). Modeling accidents for proioritizing. Reliability Engineering and system safety, 92(12), 1701 - 1715. https://doi.org/10.1016/j.ress.2006.09.025

Wang, J., & Yan, M. (2019). Application of an improved model for accident analysis: a case study. Int. J. Environ. Res. Public Health, 16, 2756 - 2767. https://doi.org/10.3390/ijerph16152756

Nisbet, R., Elder, J., & Miner, G. (2009). Handbook of statistical Analysis and Datamining Applications. Burlington: Elsevier.

Major Accident Reporting System (MARS). https://ec.europa.eu/jrc/en/scientific-tool/major-accident-reporting-system (accessed 19.11.2020).

ERNS database. https://cfpub.epa.gov/si/si_public_record_report.cfm?Lab=&dirEntryId=2874 (accessed 19.11.2020).

Accidental Release Information Program (ARIP) database. https://www.envirosource.com/domino/thielen/envrsrc.nsf/BookSearch/BAD2747A3FD150D58625662F000B86A7?OpenDocument (accessed 19.11.2020).

Garland, R.W. (2004). Electronic management of change process. Process Safety Progress, 23(4), 244 - 251. https://doi.org/10.1002/prs.10036

Abbasi, T., Pasman, H.J., & Abbasi, S.A. (2010). A scheme for the classification of explosions in the chemical process industry. Journal of Hazardous Materials, 174, 270 - 280. https://doi.org/10.1016/j.jhazmat.2009.09.047

Jianhao, W., Gui, F., & Mingwei, Y. (2020). Investigation and analysis of a hazardous chemical accident in the process industry: triggers, roots, and lessons learned. Processes, 8(4), 477 - 494. https://doi.org/10.3390/pr8040477

Ale, B.J.M. (2002). Risk assessment practices in the Netherlands. Safety Science, 40(1-4), 105 - 126. https://doi.org/10.1016/S0925-7535(01)00044-3

Al-Qurashi, F., Sharma, G., Rogers, W.J., & Mannan, M.S. (2001). Applications of relational chemical process safety databases for lowering mean failure rates. Process Safety Progress, 20(4), 280 -285. https://doi.org/10.1002/prs.680200410

AIChE/CCPS, Center for Chemical Process Safety, Guidelines for Chemical Process quantitative Risk analysis, 2nd edition, 2000.

Steinbach, J. (1999). Safety Assessment for Chemical Processes. Weinheim: Wiley, VCM.

Perry, R.H. (1998). Chilton. C.H. Perry’s Chemical Engineers’ Handbook, 7th Edition. New York: McGraw-Hill International Editions.

Published
2020-12-26
How to Cite
Bhavani, A. G., & Gupta, A. K. (2020). Effective utilization of databases for preventing chemical accidents. Chemical Safety Science, 4(2), 24 - 34. https://doi.org/10.25514/CHS.2020.2.18002
Section
Chemical hazard assessment and risk modeling