Journal of Central South University

, Volume 19, Issue 10, pp 2901–2909 | Cite as

Multimedia health risk assessment: A case study of scenario-uncertainty

  • Fei Li (李飞)
  • Jin-hui Huang (黄瑾辉)
  • Guang-ming Zeng (曾光明)
  • Xing-zhong Yuan (袁兴中)
  • Jie Liang (梁婕)
  • Xiao-yu Wang (王晓钰)
Article

Abstract

Assisted by framework of multimedia total exposure model for hazard waste sites (CalTOX), potential influences of scenario-uncertainty on multimedia health risk assessment (MHRA) and decision-making were quantitatively analyzed in a primary extent under the Chinese scenario case by deliberately varying the two key scenario-elements, namely conceptual exposure pathways combination and aim receptor cohorts choice. Results show that the independent change of one exposure pathway or receptor cohort could lead variation of MHRA results in the range of 3.6×10−6-1.4×10−5 or 6.7×10−6–2.3×10−5. And randomly simultaneous change of those two elements could lead variation of MHRA results at the range of 7.7×10−8-2.3×10−5. On the basis of the corresponding sensitivity analysis, pathways which made a valid contribution to the final modeling risk value occupied only 16.7% of all considered pathways. Afterwards, comparative analysis between influence of parameter-uncertainty and influence of scenario-uncertainty was made. In consideration of interrelationship among all types of uncertainties and financial reasonability during MHRA procedures, the integrated method how to optimize the entire procedures of MHRA was presented innovatively based on sensitivity analysis, scenario-discussion and nest Monte Carlo simulation or fuzzy mathematics.

Key words

scenario-uncertainty multimedia health risk assessment (MHRA) comparative analysis parameter-uncertainty 

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References

  1. [1]
    LI Zhong-wu, HUANG Jin-quan, LI Yu-yuan. Assessment on soil fertility of Dongting Lake wetland area (China) based on GIS and fuzzy evaluation [J]. Journal of Central South University of Technology, 2011, 18(5): 1465–1472.CrossRefGoogle Scholar
  2. [2]
    SUZUKI N, YASUDA M, SAKURAL T. Simulation of long-term environmental dynamics of polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans using the dynamic multimedia environmental fate model and its implication to the time trend analysis of dioxins [J]. Chemosphere, 2000, 40(9/10/11): 969–976.CrossRefGoogle Scholar
  3. [3]
    ZHANG Zhao, HUANG Jin-hui, ZENG Guang-ming, YUAN Xing-zhong. Application of 3MRA model in the decision-making for comprehensive chrome residue treatment [J]. China Environmental Science, 2010, 30(1): 139–144. (in Chinese)Google Scholar
  4. [4]
    MACKAY D. Multimedia environmental models: The fugacity approach [M]. 2ed. FL, USA: CRC Press, 2001: 1–270.CrossRefGoogle Scholar
  5. [5]
    COHEN Y. Modeling of pollutant transport and accumulation in a multimedia environment [M]. New York: Praeger Publishing Company, 1987.Google Scholar
  6. [6]
    WANG Yong-jie, JIA Dong-hong. Uncertainty analysis of health risk assessment [J]. Environmental Engineering, 2003, 21(6): 66–69. (in Chinese)Google Scholar
  7. [7]
    BABENDREIER J E, CASTLETON K J. Investigating uncertainty and sensitivity in integrated, multimedia environmental models: Tools for FRAMES-3MRA [J]. Environmental Modelling & Software, 2005, 20(8): 1043–1055.CrossRefGoogle Scholar
  8. [8]
    LI J B, HUANG G H, ZENG G M. An integrated fuzzy-stochastic modeling approach for risk assessment of groundwater contamination [J]. Journal of Environmental Management, 2007, 82(2): 173–188.MathSciNetCrossRefGoogle Scholar
  9. [9]
    US EPA. Guidelines for exposure assessment [R]. Washington D C: Office of Research and Development, Office of Health and Environmental Assessment, 1992.Google Scholar
  10. [10]
    CULLEN A C, FREY H C. Probabilistic techniques in exposure assessment [M]. New York: Plenum Press, 1999: 1–317.Google Scholar
  11. [11]
    LIANG Jie, XIE Geng-xin, ZENG Guang-ming. An integrated stochastic-fuzzy modeling approach for the risk assessment of groundwater pollution [J]. Journal of Hunan University: Natural Sciences, 2009, 36(6): 54–58. (in Chinese)Google Scholar
  12. [12]
    ZENG G M, QIN X S, HE L. A neural network predictive control system for paper mill wastewater treatment [J]. Engineering Applications of Artificial Intelligence, 2003, 16(2): 121–129.CrossRefGoogle Scholar
  13. [13]
    MADDALENA R L, MCKONE T E, HSIEH D P H. Influential input classification in probabilistic multimedia models [J]. Stochastic Environmental Research and Risk Assessment, 2001, 15(1): 1–17.CrossRefMATHGoogle Scholar
  14. [14]
    FAYERWEARTHER W E, COLLINS J J, SCHNATTER R. Quantifying uncertainty in a risk assessment using uncertainty data [J]. Risk Analysis, 1999, 19(6): 1007–1090.Google Scholar
  15. [15]
    ZHU Hui-na, YUAN Xing-zhong, ZENG Guang-ming. An integrated fuzzy model based on interval numbers for assessment of environmental health risks of water sources [J]. Acta Scientiae Circumstantiae, 29(7): 1527–1533. (in Chinese)Google Scholar
  16. [16]
    HERTWICH E G, MCKONE T E, PEASE W S. A systematic uncertainty analysis of an evaluative fate and exposure model [J]. Risk Analysis, 2000, 20(4): 439–454.CrossRefGoogle Scholar
  17. [17]
    MOSHANDREAS D J, KARUCHIT S. Scenario-model-parameter: A new method of cumulative risk uncertainty analysis [J]. Environmental International, 2002, 28(4): 247–261.CrossRefGoogle Scholar
  18. [18]
    US EPA. Exposure factors handbook [R]. Washington D C: Office of Research and Development, National Center for Environmental Assessment, 1997.Google Scholar
  19. [19]
    MCKONE T E. CalTOX: A multimedia total-exposure model for hazardous waste sites: Part II. Multimedia transport and transformation model [R]. California: Lawrence Livermore National Laboratory, 1993.Google Scholar
  20. [20]
    CALIFORNIA E P A. CalTOX: A multimedia total-exposure model for hazardous waste sites [R]. California: Lawrence Livermore National Laboratory, 1993.Google Scholar
  21. [21]
    MCKONE T E. CalTOX: A multimedia total-exposure model for hazardous waste sites: Part I. Executive summary [R]. California: Lawrence Livermore National Laboratory, 1993.CrossRefGoogle Scholar
  22. [22]
    MCKONE T E. CalTOX: A multimedia total-exposure model for hazardous waste sites: Part III. Multipathway exposure model [R]. California: Lawrence Livermore National Laboratory, 1993.Google Scholar
  23. [23]
    LINKOV I, CARINI F, COLLINS C. Radionuclides in fruit systems: Model-model intercomparison study [J]. Science of the Total Environment, 2006, 364(1/2/3): 124–137.CrossRefGoogle Scholar
  24. [24]
    HU Er-bang. Practical techniques and methods for environmental risk assessment [M]. Beijing: China Environmental Science Press, 2000: 1–201. (in Chinese)Google Scholar
  25. [25]
    CHEN Y C, MA H W. Model comparison for risk assessment: A case study of contaminated groundwater [J]. Chemosphere, 2006, 63(5): 751–761.MathSciNetCrossRefGoogle Scholar
  26. [26]
    CHEN Y C, MA H W. Combining the cost of reducing uncertainty with the selection of risk assessment models for remediation decision of site contamination [J]. Journal of Hazardous Materials, 2007, 141(1): 17–26.CrossRefGoogle Scholar
  27. [27]
    LINKOV I, BURMISTROV D. Model uncertainty and choices made by modelers: Lessons learned from the international atomic agency model intercomparisons [J]. Risk Analysis, 2003, 23(6): 1297–1308.CrossRefGoogle Scholar
  28. [28]
    FINKEL A M. Confronting uncertainty in risk assessment: A guide for decision-makers [R]. Washington D C: Center for Risk Management Resources for the Future, 1990.Google Scholar
  29. [29]
    MORGAN M G, HENRION M. Uncertainty: A guide to dealing with uncertainty in quantitative risk and policy analysis [M]. New York: Cambridge University Press, 1990: 16–307.CrossRefGoogle Scholar

Copyright information

© Central South University Press and Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Fei Li (李飞)
    • 1
    • 2
  • Jin-hui Huang (黄瑾辉)
    • 1
    • 2
  • Guang-ming Zeng (曾光明)
    • 1
    • 2
  • Xing-zhong Yuan (袁兴中)
    • 1
    • 2
  • Jie Liang (梁婕)
    • 1
    • 2
  • Xiao-yu Wang (王晓钰)
    • 1
    • 2
  1. 1.College of Environmental Science and EngineeringHunan UniversityChangshaChina
  2. 2.Key Laboratory of Environmental Biology and Pollution Control of Ministry of EducationHunan UniversityChangshaChina

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