ISPRS, Vol.34, Part 2W2, “Dynamic and Multi-Dimensional GIS”, Bangkok, May 23-25, 2001
66
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4. CONCLUSIONS
In this paper, a GIS supported environmental risk assessment
using stochastic and fuzzy set theory has been proposed for
the petroleum-contaminated site. Employing the general
accepted regulation by USEPA, federal or local government,
and utilizing the expert opinions on the risk standard through
question survey. Environmental risk calculation in occurrence
possibility term for different age group and linguistic term risk
assessment have performed and the reasonable risk results
produced.
Integration of GIS technology with environmental risk
assessment has shown the capacity to maximize the utilization
value of available information. Through the creation of spatial
database and facility relational database, the advanced data
exchange and query function, and appropriate data which is
necessary for contaminant concern, risk-based decision
presentation has been determined, and relevant site physical
and chemical characteristic information can be presented
spatially.
With the further enhancement of spatial and monitoring data
quantity and quality, a more comprehensive multi-pathway and
multi-scenario case study will be explored in the future
research improvement.
REFERENCES
Bardossy, A.., I. Bogardi, and L.. Duckstein, 1991. Fuzzy set
and probabilistic techniques for health-risk analysis.
Applied Mathematics and Computation, 45:241-68.
Bruel, C. J. and G. E. Hoag, 1984. Capillary and packed-
column gas chromatorgraphy of gasoline hydrocarbons
and EDB. Conference and Exposition on Petroleum
Hydrocarbon and Organic Chemicals in Ground Water—
Prevention, Direction and Restoration, Ohio, National
Water Well Association.
Burrough, P. A., 1986. Principles of Geographic Information
System for Land Resources Assessment. Oxford:
Clarendon.
Burmaster, D. E. and K. von Stackelberg,1989. Quantitative
uncertainty analysis in exposure and dose-exposure
assessment in public health risk assessments using
monte carlo techniques, Proceedings of National
Conference on Hazardous Waste and Hazardous
Materials, Washington, D.C., HMCRI, Silver Sprinq,
pp.82-85
Burmaster, D. E. and К. E. von Stackelberg,1988. A new
method for uncertainty and sensitivity analysis in public
health risk assessment at hazardous waste sites using
Monte Carlo techniques in a spreadsheet. Proceedings of
National Conference on Hazardous Waste and
Hazardous Materials, Washington, D.C., HMCRI, Silver
Spring, p.550-556
Chen. Z., Huang, G. H„ Chakma, A. 1998. Intergrated
environmental risk assessment through a GIS-based
decision-support system. Proceedings of ESRI User
Conference.
Clifton Associates Ltd., 1994. Environmental Site Investigation,
Hoosier Gas Adsorption Plant, 1993 Waste Liquid
Blowdown, Site Investigation Program, SE 16-30-28-
W3M, Hoosier, Saskatchewan, File R1544.4.
Clifton Associates Ltd., 1995.1996.1998. Environmental Site
Investigation, Plume Delineation, Hoosier Adsorption
Plant, Sask., File 1866.1.
Dahab, M. F., Y. W. Lee and I. Bogardi, 1994. Rule-based
fuzzy-set approach to risk analysis of nitrate-
contaminated groundwater. Water Science and
Technology, 30:45-52.
Densham, P. J. and M. F. Goodchild, 1989. Spatial decision
support system: a research agenda. Proceedings of
GIS/LIS’89, 2: 707-716, Orlando.
USEPA, 1989. Risk Assessment Guidance for Superfund:
Human Health Evaluation Manual, Parta, Interim Final.
Office Of Solid Waste and Emergency Response,
Washington, DC, OSWER Directive 9285.701 A.
USEPA, 1988. Superfund exposure assessment manual.
Office of remedial response, Washington, DC, EPA
540/1-88-001.
Finkel, A. M., 1990. Confronting Uncertainty in Risk
Management, A Guide For Decision-Makers. Resources
for the Future, Washington.
Hargrove, W., W. A. Levine, D. R. Miller, M. R. Coleman, P. L.
Pack, and C. D. Richard, 1996. GIS and risk assessment:
a fruitful combination. ESRI User Conference.
Huang C. F. 1996. Fuzzy risk assessment of urban natural
hazards, Fuzzy Sets and Systems. 83:271-282.
Huang, G. H., Z. Chen, P. Tontiwachwuthicul, and A. Chakma.
1999. Environmental risk assessment for underground
tanks through an interval parameter fuzzy relation
analysis approach, Energy Sources, 21(1-2): 75-96.
Lein, J. K., 1992. Expressing environmental risk using fuzzy
variables: a preliminary examination. Environmental
Professional, 14:257-67.
Levy, B. S., P. J. Riordan, and R. P. Schreiber, 1990.
Estimation of leak rates from underground storage tanks.
Ground Water, 28:378-84.
Mathews, P. A., and Donahue, B., 1989. A leakage potential
assessment for underground storage tanks. Canadian
Society for Civil Engineering Annual Conference.
St.John’s, Newfoundland.
Miller, M. R., P. R. Coleman, D. I. Pack, and R. C. Durfee. GIS
and risk assessment: a fruitful combination. ESRI
International User Conference 1996 Proceddings.
Michael, R. A., C. A. Hanna, J. A. Mayernik, W. M. Mendez, Jr.
1994. Probabilistic health risk assessment for exposures
to etuary sediments and biota contaminated with
polychlorinated biphenyls, polychlorinated terphenyls and
other toxic substances. Risk Analysis, 14:577-594.
Paustenbach, D. J. (Ed.), 1989. The Risk Assessment of
Environmental Hazards: A Textbook of Case Studies.
John Wiley & Sons, New York.
Roozbeh.K. and L. S. Riggs, 1989. Construction risk
assessment by linguistics. IEEE Transactions on
Engineering Management, 36(2): 126-177
Roper Environmental Engineering Inc., 1993. The 1992 Waste
Disposal, Site Assessment Program, Compendium II,
Hoosier, Saskatchewan, File TRG-183.
Testa, S. M. and D. L. Winegardner, 1991. Restoration of
petroleum-contaminated acquifers. Chelsea, Mich.: Lewis
Publishers.
Woodbury, A.D. and E. A. Dudicky, 1991. The geostatistical
characteristics of the bordern aquifer. Water Resources
Research, 27(4):533-546.
Zadeh, L. A. 1965. Fuzzy Sets. Information and Control, 8:338-
353.
Zimmermann, H. J., 1990. Fuzzy Set Theory and Its
Application, 2/e, Kiuwer Academic Publishers, Boston.