TECHNICAL PAPERS
Aug 1, 1992

Dealing with Uncertainty: From Health‐Risk Assessment to Environmental Decision Making

Publication: Journal of Energy Engineering
Volume 118, Issue 2

Abstract

There is growing overlap between environmental matters, driven by quantitative needs and whenever causes and effects are in issue, and matters that confront health‐risk management. Risk assessors have generated methods that can be usefully adopted by those concerned with environmental decision making. The discussions currently taking place at the Intergovernmental Negotiating Committee for a Framework Convention on Climate Change, in Geneva, Switzerland, and in other environmental forums involve costly outcomes, about which scientific knowledge is uncertain and information is imperfect. It is appropriate to review the methods used in those discussions and to attempt to provide reasoned means to deal with uncertainty through a common frame of reference. This paper characterizes types of uncertainty, discusses approaches to deal with them, and provides statistical and mathematical examples from human‐health‐risk assessment on how to deal with them. The main conclusion is that the methods from applied risk assessment provide some of the means to deal coherently with decision making under uncertainty. Nevertheless, each method has advantages and disadvantages. Heuristics such as scenarios are therefore still useful, provided that their use is combined with modern techniques available to deal with not only probabilistic thinking, but also with situations in which probabilistic methods fail for technical and practical reasons.

Get full access to this article

View all available purchase options and get full access to this article.

References

1.
Ames, B. N., and Gold, L. S. (1990). “Too many rodent carcinogens: Mitogenesis increases mutagenesis.” Sci., 249(4963), 970–971.
2.
Bates, D. M., and Watts, D. G. (1988). Nonlinear regression analysis and its applications. John Wiley and Sons, New York, N.Y.
3.
Bellman, R. E., and Zadeh, L. (1970), “Decisionmaking in a fuzzy environment.” Mgmt. Sci., 17(2), 141–150.
4.
“Building an advanced climate model.” (1990). DOE/ER‐0479T, U.S. Department of Energy (DOE), Washington, D.C.
5.
Computational models of scientific discovery and theory formation. (1990). J. Shrager and P. Langley, eds., Morgan Kaufmann, San Mateo, Calif.
6.
Cohn, A. G. (1988). “Qualitative reasoning.” Advanced topics in artificial intelligence, R. T. Nossum, ed., Springer‐Verlag, New York, N.Y.
7.
Cox, L. A. (1988). “Comparative risk measures for heterogeneous populations.” Phenotypic variation in populations: Relevance to risk assessment. A. D. Woodhead et al., eds., Plenum Press, New York, N.Y.
8.
Cox, L. A., Jr. (1990). “Assessing cancer risks: From statistical to biological models.” J. Energy Engrg., ASCE, 116(3), 189–210.
9.
Cox, L. A., and Ricci, P. F. (1989a). “Legal and philosophical aspects of risk analysis.” The risk assessment of environmental and human health hazards. D. E. Paustenbach, ed., John Wiley and Sons, New York, N.Y.
10.
Cox, L. A., and Ricci, P. F. (1989b). “Risk, uncertainty, and causation: Quantifying human health risks.” The risk assessment of environmental and human health hazards. D. E. Paustenbach, ed., John Wiley and Sons, New York, N.Y.
11.
Drinking water and health, Vol. 6. (1986). National Academy Press, Washington, D.C.
12.
The experience and legacy of NAPAP: Report of the Joint Chairs. (1991). Interagency Task Force on Acidic Deposition, Washington, D.C.
13.
Glass, L., and Mackey, M. C. (1988). From clocks to chaos: The rhythms of life. Princeton University Press, Princeton, N.J.
14.
Kahneman, D., Slovic, P., and Tversky, A. (Eds.) (1974). Judgement under uncertainty: Heuristics and biases. Cambridge Univ. Press 1982.
15.
Lawless, J. F. (1982). Statistical models and methods for lifetime data. John Wiley and Sons, New York, N.Y.
16.
Leibman, K. C. (1983). “Enzymatic metabolism of gases and vapors: Problems in relating in vitro experimental results to the situation in vivo.” Modeling of inhalation exposure to vapors: Uptake, distribution, and elmination, V. Fiserova‐Bergerova, ed., CRC Press, Boca Raton, Fla.
17.
Ljung, L. (1987). System identification: Theory for the user. Prentice Hall, Englewood Cliffs, N.J.
18.
Metz, J. A. J., and Diekmann, O. (1986). “The dynamics of physiologically structured populations.” Lecture notes in biomathematics, Springer‐Verlag, New York, N.Y., 68.
19.
Neapolitan, R. E. (1990). Probabilistic reasoning in expert systems: Theory and algorithms. John Wiley and Sons, New York, N.Y.
20.
1992 IPCC Supplement Feb. (1992). Intergovernmental Panel on Climate Change, World Meterological Office (WMO), Geneva, Switzerland.
21.
“Occupational exposure to cadmium: Proposed rule.” (1988). Federal Register, 55, 4076–4093.
22.
Oliver, R. M., and Smith, J. Q. (1990). Influence diagrams, belief nets, and decision analysis. John Wiley and Sons, New York, N.Y.
23.
Poole, D. (1988). “A logical framework for default reasoning.” Artificial intelligence, 36(1), 27–47.
24.
Reitz, R., Smith, F. A., Anderson, M. E., Clewell, H. J. III, and Gargas, M. L. (1989). “Use of physiological pharmacokinetics in cancer risk assessment: A study of methylene chloride.” The risk assessment of environmental and human health hazards: A textbook of case studies, John Wiley and Sons, New York, N.Y.
25.
Ricci, P. F., Cox, L. A., and Dwyer, J. (1989). “Acceptable cancer risks: Probabilities and beyond.” J. Air Pollution Control Assoc., 35(8), 124–135.
26.
Roberts, L. (1991). “Dioxin risks revisited,” Sci., 251(5002), 624–626.
27.
Rubinow, S. I., and Lebowitz, J. L. (1976). “A mathematical model of the acute myeloblastic leukemic state in man.” Biophysical J., 16(4), 897–910.
28.
Russell, S. J. (1989). The use of knowledge in analogy and induction. Morgan Kaufmann, San Mateo, Calif.
29.
Schachter, R. D. (1986). “Evaluating influence diagrams.” Operations Res., 34(6), 871–882.
30.
Schell, M. J., and Leysieffer, F. W. (1989). “An increasing failure rate approach to low‐dose extrapolation.” Biometrics, 45(4), 1117–1124.
31.
Shafer, G. A. (1976). A mathematical theory of evidence. Princeton University Press, Princeton, N.J.
32.
Sivak, A., Goyer, M. M., and Ricci, P. F. (1987). “Nongenotoxic carcinogens: Prologue.” Bambury Report25: Nongenotoxic Mechanisms in Carcinogenesis, Cold Spring Laboratory, 1–8.
33.
Slovic, P., Fischhoff, B., and Lichtenstein, S. (1978). “Facts versus fear: Understanding perceived risks.” Societal risk assessment: How safe is safe enough? R. Schwing and W. A. Albers, eds., Plenum, New York, N.Y.
34.
Slovic, P., Fischhoff, B., and Lichtenstein, S. (1982). “Facts versus fears: Understanding perceived risks.” Judgement under uncertainty: Heuristics and biases, D. Kahneman, P. Slovic, and A. Tversky, eds., Cambridge University Press, Cambridge, England.
35.
Torasso, P., and Console, L. (1989). Diagnostic problem solving. Van Nostrand Reinhold, New York, N.Y.
36.
Vickers, S. (1989). Topology via logic. Cambridge University Press, New York, N.Y.
37.
“WMO and global warming.” (1990). WMO No. 741, World Meterological Office (WMO), Geneva, Switzerland.

Information & Authors

Information

Published In

Go to Journal of Energy Engineering
Journal of Energy Engineering
Volume 118Issue 2August 1992
Pages: 77 - 94

History

Published online: Aug 1, 1992
Published in print: Aug 1992

Permissions

Request permissions for this article.

Authors

Affiliations

Louis A. Cox, Jr.
Cox Associates, 503 Franklin St., Denver, CO 80218
Paolo F. Ricci
Partner, Ricci & Molton, 685 Hilldale Ave., Berkeley, CA 94708

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share