Assessment of BTEX‐induced health risk under multiple uncertainties at a petroleum‐contaminated site: An integrated fuzzy stochastic approach

摘要: [1] Groundwater pollution has gathered more and attention in the past decades. Conducting an assessment of groundwater contamination risk is desired to provide sound bases for supporting risk-based management decisions. Therefore, objective this study develop integrated fuzzy stochastic approach evaluate risks BTEX-contaminated under multiple uncertainties. It consists interval subsurface modeling system (IIFMS) second-order (IFSOSRA) model. The IIFMS developed based on factorial design, analysis, sets predict contaminant concentrations hybrid Two input parameters (longitudinal dispersivity porosity) are considered be uncertain with known membership functions, intrinsic permeability number unknown distribution information. A design conducted interactive effects three factors outputs through IIFMS. IFSOSRA model can systematically quantify variability uncertainty, as well their hybrids, presented fuzzy, health assessment. haw been applied a real-world petroleum-contaminated site within western Canada context. results indicate that uncertainties, combination information various data-quality levels, effectively addressed supports identifying proper remedial efforts. unique contribution research development handling forms uncertainties associated simulation