Full text: The 3rd ISPRS Workshop on Dynamic and Multi-Dimensional GIS & the 10th Annual Conference of CPGIS on Geoinformatics

ISPRS, Vol.34, Part 2W2, “Dynamic and Multi-Dimensional GIS”, Bangkok, May 23-25, 2001 
66 
ыап иаимп?» 
<«■4 -1 ¿ O > - »»-,<» . ». * * «В .4 j«~ 
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.
	        
Waiting...

Note to user

Dear user,

In response to current developments in the web technology used by the Goobi viewer, the software no longer supports your browser.

Please use one of the following browsers to display this page correctly.

Thank you.