Assessing environmental risks through fuzzy parameterized probabilistic analysis |
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| Authors: | X S Qin |
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| Institution: | (1) School of Civil and Environmental Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore |
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| Abstract: | A fuzzy parameterized probabilistic analysis (FPPA) method was developed in this study to assess risks associated with environmental
pollution-control problems. FPPA integrated environmental transport modeling, fuzzy transformation, probabilistic risk assessment,
fuzzy risk quantification into a general risk assessment framework, and was capable of handling uncertainties expressed as
fuzzy-parameterized stochastic distributions. The proposed method was applied to two environmental pollution problems, with
one being about the point-source pollution in a river system with uncertain water quality parameters and the other being concerned
with groundwater contaminant plume from waste landfill site with poorly known contaminant physical properties. The study results
indicated that the complex uncertain features had significant impacts on modeling and risk-assessment outputs; the degree
of impacts of modeling parameters were highly dependent on the level of imprecision of these parameters. The results also
implied that FPPA was capable of addressing vagueness or imprecision associated with probabilistic risk evaluation, and help
generate risk outputs that could be elucidated under different possibilistic levels. The proposed method could be used by
environmental managers to evaluate trade-offs involving risks and costs, as well as identify management solutions that sufficiently
hedge against dual uncertainties. |
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