Fractional Fuzzy Simulation–Based Health Risk Assessment for Toluene Contaminated Aquifers

REFERENCES

• Adam LA, Reed M, and Alexis NS. 2013. Human health risk assessment of CO2 leakage into overlying aquifers using a stochastic, geochemical reactive transport approach. Environ Sci Technol 47:5954–62
   PubMed Web of Science ®Google Scholar
• Baciocchi R, Berardi S, and Verginelli I. 2010. Human health risk assessment: Models for predicting the effective exposure duration of on-site receptors exposed to contaminated groundwater. J Hazard Mater 181:226–33
   PubMed Web of Science ®Google Scholar
• Benke KK, and Benke KE. 2013. Uncertainty in health risks from artificial lighting due to disruption of circadian rhythm and melatonin secretion: A review. Hum Ecol Risk Assess 19:916–29
   Web of Science ®Google Scholar
• Bhargava A, Khanna RN, Bhargava SK, et al. 2004. Exposure risk to carcinogenic PAHs in indoor-air during biomass combustion whilst cooking in rural India. Atmos Environ 38:4761–67
   Web of Science ®Google Scholar
• Chatterjee D, Halder D, Majumder S, et al. 2010. Assessment of arsenic exposure from groundwater and rice in Bengal Delta Region, West Bengal, India. Water Res 44:5803–12
   PubMed Web of Science ®Google Scholar
• Chen Z, Huang GH, and Chakma A. 2000. Risk assessment of a petroleum contaminated site through a multi-phase and multi-component modeling approach. J Petrol Sci Eng 26:273–81
   Web of Science ®Google Scholar
• Clark-III JD, Serdar B, Lee DJ, et al. 2012. Exposure to polycyclic aromatic hydrocarbons and serum inflammatory markers of cardiovascular disease. Environ Res 117:132–37
   PubMed Web of Science ®Google Scholar
• Drozdova S, Ritter W, Lendl B, et al. 2013. Challenges in the determination of petroleum hydrocarbons in water by gas chromatography (hydrocarbon index). Fuel 113:527–36
   Web of Science ®Google Scholar
• Erdal S and Carollo AN. 2007. Assessment of health protectiveness of the risk-based soil remediation standards of the midwestern states. Hum Ecol Risk Assess 13:543–73
   Web of Science ®Google Scholar
• He L, Huang GH, and Lu HW. 2008. A simulation-based fuzzy chance-constrained programming model for optimal groundwater remediation under uncertainty. Adv Water Resou 31(12):1622–35
   Web of Science ®Google Scholar
• He L, Huang GH, and Lu HW. 2011. Characterization of petroleum-hydrocarbon fate and transport in homogeneous and heterogeneous aquifers using a generalized uncertainty estimation method. J Environ Eng-ASCE 137(1):1–8
   Web of Science ®Google Scholar
• He L, Huang GH, Lu HW, et al. 2012. Quasi-Monte Carlo based global uncertainty and sensitivity analysis in modeling free product migration and recovery from petroleum-contaminated aquifers. J Hazar Mater 219–220:133–140
   PubMed Web of Science ®Google Scholar
• He L, Yun WZ, Yang Q, et al. 2013. A fractional fuzzy simulation method for predicting dissolved toluene and oxygen concentrations in aquifers under microbial attenuation. Environ Eng Manag J, in press
   Google Scholar
• Hoseyn SGA. 2013. Application of the multi-objective optimization and risk analysis for the sizing of a residential small-scale CCHP system. Energ Buildings 60:330–44
   Web of Science ®Google Scholar
• Javier P, Raquel I, Johannes PAL, et al. 2014. Human Risk Assessment of Contaminated Soils by Oil Products: Total TPH Content Versus Fraction Approach. Hum Ecol Risk Assess 20:1231–48
   Web of Science ®Google Scholar
• Kang CC, Feng CM, and Khan HA, 2005. Risk assessment for build-operate-transfer projects: A dynamic multi-objective programming approach, Comput Oper Res 32:1633–54
   Web of Science ®Google Scholar
• Kentel E and Aral MM. 2004. Probabilistic-fuzzy health risk modeling. Stoch Env Res Risk A 18:324–38
   Web of Science ®Google Scholar
• Khadam IM and Kaluarachchi JJ. 2003. Multi-criteria decision analysis with probabilistic risk assessment for the management of contaminated ground water. Environ Impact Assess Rev 23:683–721
   Google Scholar
• Li JB, Huang GH, Chakma A, et al. 2003. Integrated fuzzy-stochastic modeling of petroleum contamination in subsurface. Energ Source 25:547–63
   Web of Science ®Google Scholar
• Li JB, Song X, Hu GG, et al. 2013. Ultrasonic desorption of petroleum hydrocarbons from crude oil contaminated soils. J Environ Sci Heal A 48:1378–89
   PubMed Web of Science ®Google Scholar
• Li J, Huang GH, Zeng G, et al. 2007. An integrated fuzzy-stochastic modeling approach for risk assessment of groundwater contamination. J Environ Manage 82:173–88
   PubMed Web of Science ®Google Scholar
• Lu HW, Huang GH, and He L. 2011. An inexact rough-interval fuzzy linear programming method for generating conjunctive water-allocation strategies to agricultural irrigation systems. App Math Model 35:4330–40
   Web of Science ®Google Scholar
• Lu HW, Huang GH, Xu Y, et al. 2012. Inexact two-phase fuzzy programming and its application to municipal solid waste management. Eng App Artif Intel 25:1529–36
   Web of Science ®Google Scholar
• Mirsadeghi SA, Zakaria MP, Yap CK, et al. 2011. Risk assessment for the daily intake of polycyclic aromatic hydrocarbons from the ingestion of cockle (Anadara granosa) and exposure to contaminated water and sediments along the west coast of Peninsular Malaysia. J Environ Sci 23:336–45
   Web of Science ®Google Scholar
• Nguyen VA, Bang S, Viet PH, et al. 2009. Contamination of groundwater and risk assessment for arsenic exposure in Ha Nam province. Vietnam Environ Int 35:466–72
   PubMed Web of Science ®Google Scholar
• NRC (US National Research Council). 1983. Risk Assessment in the Federal Government: Managing the Process. Committee on the Institutional Means for Assessment of Risks to Public Health, National Academy Press, Washington, DC, USA
   Google Scholar
• Olorunfemi A, Zheng L, Andreas S, et al. 2013. Biomonitoring of polycyclic aromatic hydrocarbon exposure in pregnant women in Trujillo, Peru—Comparison of different fuel types used for cooking. Environ Int 53:1–8
   PubMed Web of Science ®Google Scholar
• Paksoy T, Pehlivan NY, and Özceylan E. 2012. Fuzzy multi-objective optimization of a green supply chain network with risk management that includes environmental hazards. Hum Ecol Risk Assess 18:1120–51
   Web of Science ®Google Scholar
• Park IS and Park JW. 2010. A novel total petroleum hydrocarbon fractionation strategy for human health risk assessment for petroleum hydrocarbon-contaminated site management. J Hazard Mater 179:1128–35
   PubMed Web of Science ®Google Scholar
• Siirila ER, Sitchler AKN, Maxwell RM, et al. 2012. A quantitative methodology to assess the risks to human health from CO2 leakage into groundwater. Adv Water Resour 36:146–64
   Web of Science ®Google Scholar
• Skinner DJC, Rocks SA, Pollard SJT, et al. 2014. Identifying uncertainty in environmental risk assessments: The development of a novel typology and its implications for risk characterization. Hum Ecol Risk Assess 20:607–40
   Web of Science ®Google Scholar
• USEPA (US Environmental Protection Agency). 1992. Guidelines for Exposure Assessment. EPA/600/Z-92/001. US Environmental Protection Agency, Risk Assessment Forum, Washington, DC, USA:73–5
   Google Scholar
• Veerasingam S, Venkatachalapathy R, Sudhakar S, et al. 2011. Petroleum hydrocarbon concentrations in eight mollusc species along Tamilnadu coast, Bay of Bengal, India. J Environ Sci 23:1129–34
   Web of Science ®Google Scholar
• Viduto V, Maple C, Huang W, et al. 2012. A novel risk assessment and optimisation model for a multi-objective network security countermeasure selection problem, Decis Support Syst 53:599–610
   Web of Science ®Google Scholar
• Wang J, He J, and Chen H. 2012. Assessment of groundwater contamination risk using hazard quantification, a modified DRASTIC model and groundwater value, Beijing Plain, China. Sci Total Environ 432:216–26
   PubMed Web of Science ®Google Scholar
• Wang W, Huang MJ, Chan CY, et al. 2013. Risk assessment of non-dietary exposure to polycyclic aromatic hydrocarbons (PAHs) via house PM2.5, TSP and dust and the implications from human hair. Atmos Environ 73:204–13
   Web of Science ®Google Scholar
• Yi T, Lee EH, Park H, et al. 2011. Biodegradation of petroleum hydrocarbons by Neosartorya sp. BL4. J Environ Sci Heal A 46:1763–68
   PubMed Web of Science ®Google Scholar
• Zhang J, He L, Lu HW, et al. 2014. Importance analysis of Groundwater Remediation Systems water resources management. Water Res Manage 28(1):115–29
   Web of Science ®Google Scholar
• Zhang YM, Lu HW, He L, et al. 2014. An interactive inexact fuzzy bounded programming for agricultural water quality management. Agr Wat Manage 133:104–11
   Web of Science ®Google Scholar
• Zolezzi M, Cattaneo C, and Tarazona JV. 2005. Probabilistic ecological risk assessment of 1,2,4-Trichlorobenzene at a former industrial contaminated site. Environ Sci Technol 39:2920–26
   PubMed Web of Science ®Google Scholar
• Zou C, Zhang G, Yang Z, et al. 2013. Concepts, characteristics, potential and technology of unconventionalhydrocarbons: On unconventional petroleum geology. Petrol Explor Devel 40:413–28
   Web of Science ®Google Scholar