Fuzzy rule-based modelling for human health risk from naturally occurring radioactive materials in produced water.
Produced water, discharged from offshore oil and gas operations, contains chemicals from formation water, condensed water, and any chemical added down hole or during the oil/water separation process. Although, most of the contaminants fall below the detection limits within a short distance from the discharge port, a few of the remaining contaminants including naturally occurring radioactive materials (NORM) are of concern due to their bioavailability in the media and bioaccumulation characteristics in finfish and shellfish species used for human consumption. In the past, several initiatives have been taken to model human health risk from NORM in produced water. The parameters of the available risk assessment models are imprecise and sparse in nature. In this study, a fuzzy possibilistic evaluation using fuzzy rule based modeling has been presented. Being conservative in nature, the possibilistic approach considers possible input parameter values; thus provides better environmental prediction than the Monte Carlo (MC) calculation. The uncertainties of the input parameters were captured with fuzzy triangular membership functions (TFNs). Fuzzy if-then rules were applied for input concentrations of two isotopes of radium, namely (226)Ra, and (228)Ra, available in produced water and bulk dilution to evaluate the radium concentration in fish tissue used for human consumption. The bulk dilution was predicted using four input parameters: produced water discharge rate, ambient seawater velocity, depth of discharge port and density gradient. The evaluated cancer risk shows compliance with the regulatory guidelines; thus minimum risk to human health is expected from NORM components in produced water.
Shakhawat
Chowdhury
C
Faculty of Engineering & Applied Science, Memorial University of Newfoundland, St. John's, NL A1B3X5, Canada. shossain@engr.mun.ca
Tahir
Husain
H
Neil
Bose
B
D001417:Background Radiation / Q000009:adverse effects*; D017143:Fuzzy Logic; D006801:Humans; D011336:Probability; D018570:Risk Assessment; D012680:Sensitivity and Specificity; D014867:Water
D014867:Water