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Engineering risk assessment for emergency disposal projects of sudden water pollution incidents

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Abstract

Without an engineering risk assessment for emergency disposal in response to sudden water pollution incidents, responders are prone to be challenged during emergency decision making. To address this gap, the concept and framework of emergency disposal engineering risks are reported in this paper. The proposed risk index system covers three stages consistent with the progress of an emergency disposal project. Fuzzy fault tree analysis (FFTA), a logical and diagrammatic method, was developed to evaluate the potential failure during the process of emergency disposal. The probability of basic events and their combination, which caused the failure of an emergency disposal project, were calculated based on the case of an emergency disposal project of an aniline pollution incident in the Zhuozhang River, Changzhi, China, in 2014. The critical events that can cause the occurrence of a top event (TE) were identified according to their contribution. Finally, advices on how to take measures using limited resources to prevent the failure of a TE are given according to the quantified results of risk magnitude. The proposed approach could be a potential useful safeguard for the implementation of an emergency disposal project during the process of emergency response.

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References

  • Akgün İ, Gümüşbuğa F, Tansel B (2015) Risk based facility location by using fault tree analysis in disaster management. Omega 52:168–179

    Article  Google Scholar 

  • Bedford T, Cooke R (2002) Probabilistic risk analysis : foundations and methods. J Am Stat Assoc 97:925–925

    Google Scholar 

  • Bleed P, Watson D (1991) Frontier flintlocks: a fault tree analysis of firearm use at contact period sites of the great plains. Great Plains Res 1:233–248

    Google Scholar 

  • Celik M, Lavasani SM, Wang J (2010) A risk-based modelling approach to enhance shipping accident investigation. Saf Sci 48:18–27

    Article  Google Scholar 

  • Chen SJ, Hwang CL (1992) Fuzzy multiple attribute decision making. Springer, Berlin Heidelberg, pp 289–486

    Book  Google Scholar 

  • China-EPA (2007) Practical handbook on environmental emergency response. China environmental science press, Environmental Inspection Office of Ministry, China

    Google Scholar 

  • Clemons EK (1995) Using scenario analysis to manage the strategic risks of reengineering. Long Range Plan 28:123–123

    Google Scholar 

  • Cooper WJ (2014) Responding to crisis: the West Virginia chemical spill. Environ Sci Technol 48:3095–3095

    Article  CAS  Google Scholar 

  • Ford DN, Sterman JD (1997) Expert knowledge elicitation to improve mental and formal models. Syst Dyn Rev 14:309–340

    Article  Google Scholar 

  • Fuller C (1999) The philosophy of risk. Secur J 12:75–76

    Article  Google Scholar 

  • Garvey PR (2009) Analytical methods for risk management. Crc Press, Boca Raton, pp 1–12

    Google Scholar 

  • Han SH, Diekmann JE (2001) Approaches for making risk-based go/no-go decision for international projects. J Constr Eng Manag 127:300–308

    Article  Google Scholar 

  • Houben G, Lenie K, Vanhoof K (1999) A knowledge-based SWOT-analysis system as an instrument for strategic planning in small and medium sized enterprises. Decis Support Syst 26:125–135

    Article  Google Scholar 

  • Hyun KC, Min S, Choi H, Park J, Lee IM (2015) Risk analysis using fault-tree analysis (FTA) and analytic hierarchy process (AHP) applicable to shield TBM tunnels. Tunn Undergr Space Technol 49:121–129

    Article  Google Scholar 

  • Jiang J, Wang P, Lung WS, Guo L, Li M (2012) A GIS-based generic real-time risk assessment framework and decision tools for chemical spills in the river basin. J Hazard Mater 227-228:280–291

    Article  CAS  Google Scholar 

  • Kaplan S, Garrick BJ (1981) On the quantitative definition of risk. Risk Anal 1:11–27

    Article  Google Scholar 

  • Kececioglu D (1992) Reliability engineering handbook (vol. 1). Technometrics 34:361–362

    Google Scholar 

  • Klüppelberg C, Straub D, Welpe I (2014) Risk—a multidisciplinary introduction. Chapter 6: quantifying extreme risks. Springer, pp. 151–181

  • Lavasani S, Wang J, Yang Z, Finlay J (2012) Application of MADM in a fuzzy environment for selecting the best barrier for offshore wells. Expert Syst Appl 39:2466–2478

    Article  Google Scholar 

  • Lee WS, Grosh DL, Tillman FA, Lie CH (1985) Fault tree analysis, methods, and applications—a review. IEEE Trans Reliab R-34:194–203

    Article  Google Scholar 

  • Lin CT, Wang M (1997) Hybrid fault tree analysis using fuzzy sets. Reliab Eng Syst Saf 58:205–213

    Article  Google Scholar 

  • Lindhe A, Rosen L, Norberg T, Bergstedt O (2009) Fault tree analysis for integrated and probabilistic risk analysis of drinking water systems. Water Res 43:1641–1653

    Article  CAS  Google Scholar 

  • Liu Y, Liu Y, Li H, Fu X, Guo H, Meng R, Lu W, Zhao M, Wang H (2016) Health risk impacts analysis of fugitive aromatic compounds emissions from the working face of a municipal solid waste landfill in China. Environ Int 97:15–27

    Article  CAS  Google Scholar 

  • Miller GA (1956) The magical number seven plus or minus two: some limits on our capacity for processing information. Psychol Rev 63:81–97

    Article  CAS  Google Scholar 

  • Norberg T, Rosén L, Lindhe A (2008) Added value in fault tree analyses, ‘safety, reliability and risk analysis: theory, methods and applications’, ESREL (European Safety and Reliability) and SRA-Europe (Society for Risk Analysis Europe) conference, Valencia, Spain, pp. 1041–1049

  • Otway H, Winterfeldt DV (1992) Expert judgment in risk analysis and management: process, context, and pitfalls. Risk Anal 12:83–93

    Article  CAS  Google Scholar 

  • Pinto CA, Garvey PR (2015) Advanced risk analysis in engineering enterprise systems. CRC Press, Boca Raton

    Google Scholar 

  • Post TH (2013) Colorado oil spill: Anadarko Petroleum Corp. Storage tank spills into South Platte River, Available at http://www.huffingtonpost.com/2013/09/19/colorado-oil-spill-anadarko_n_3951603.html (Accessed 22 September 2016)

  • Prasad NR, Sugeno MN, Hung T (1998) Fuzzy modeling and control: selected works of M. Sugeno. CRC Press Inc., Boca raton

  • Purba JH, Lu J, Zhang G, Pedrycz W (2014) A fuzzy reliability assessment of basic events of fault trees through qualitative data processing. Fuzzy Sets Syst 243:50–69

    Article  Google Scholar 

  • Ruijters E, Stoelinga M (2015) Fault tree analysis: a survey of the state-of-the-art in modeling, analysis and tools. Comput Sci Rev 15-16:29–62

    Article  Google Scholar 

  • Telci IT, Nam K, Guan J, Aral MM (2009) Optimal water quality monitoring network design for river systems. J Environ Manag 90:2987–2998

    Article  Google Scholar 

  • The MITRE Corporation (2016) Systems engineering guide-risk management, risk management, Available at https://www.mitre.org/publications/systems-engineering-guide/acquisition-systems-engineering/risk-management. (Accessed 3 August 2016)

  • Topuz E, van Gestel CA (2016) An approach for environmental risk assessment of engineered nanomaterials using analytical hierarchy process (AHP) and fuzzy inference rules. Environ Int 92-93:334–347

    Article  CAS  Google Scholar 

  • U.S. Department of Commerce (2011) Risk management guide for information technology systems. CreateSpace, USA, pp 800–830

    Google Scholar 

  • USEPA 2015: Update: documents related to monitoring and sampling plans. Available at http://www2.epa.gov/goldkingmine/september-17-2015-update-documents-related-monitoring-and-sampling-plans. (Accessed 17 September 2015)

  • Vose D (2008) Risk analysis: a quantitative guide. John Wiley & Sons, Ltd, Chichester, pp. 11–27

  • Webster-Stratton C, Taylor T (2001) Nipping early risk factors in the bud: preventing substance abuse, delinquency, and violence in adolescence through interventions targeted at young children (0–8 years). Prev Sci 2:165–192

    Article  CAS  Google Scholar 

  • Williams CA, Heins, RM (1998) Risk management and insurance.South-Western College Publishing 26(8):101–101

  • Yang M (2015) Investigation on the effect of the aniline pollution on zoobenthos in Lucheng-Pingshun reach of the Zhuozhang River. Shanxi Water Conserv Sci Technol 3:124–128 (In Chinese)

    Google Scholar 

  • Zhang XQ, Yan W, Feng-Qi LV, Zhang BY, Cheng YB (2011) Emergency drinking water treatment during source water pollution accidents in China: origin analysis, framework and technologies. Environ Sci Technol 45:161–167 (In Chinese)

    Article  CAS  Google Scholar 

  • Zhao R, Govind R (1990) Defuzzification of fuzzy intervals, International Symposium on Uncertainty Modeling and Analysis, 1990. Proceedings IEEE Xplore, pp. 45–55

  • Zheng T, Du Z, Cao H, Jiang J, Zheng W, Tang S, Wang N, Wang P (2016) Development of a novel mobile industrial-scale fluidized adsorption process for emergency treatment of water polluted by aniline: CFD simulation and experiments. Adv Powder Technol 27:1576–1587

    Article  CAS  Google Scholar 

Download references

Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant No. 51509061), China Postdoctoral Science Foundation (Grant No. 2014M551249), and HIT Environment and Ecology Innovation Special Funds (Grant No. HSCJ201607). We are grateful to the significant comments from the editor and anonymous reviewers for adding the quality of the work.

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Correspondence to Jiping Jiang or Peng Wang.

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Shi, B., Jiang, J., Liu, R. et al. Engineering risk assessment for emergency disposal projects of sudden water pollution incidents. Environ Sci Pollut Res 24, 14819–14833 (2017). https://doi.org/10.1007/s11356-017-9078-2

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