Abstract
Leakage of hydrocarbon fuel (light nonaqueous-phase liquid, LNAPL) from petroleum processing facilities and storage tanks may result in significant subsurface contamination. Remediating the contaminated areas represent considerable challenges, especially when remediation resources are limited and site data are incomplete. A reasonable management strategy under this scenario may be to identify sites where LNAPL recovery operations should be located that would provide the largest LNAPL recovery initially while minimizing the LNAPL remaining in the subsurface (entrapped and residual LNAPL), which may serve as future sources for groundwater contamination. To accomplish this objective, we use estimates of subsurface recoverable and total LNAPL specific volumes and LNAPL transmissivities to generate GIS maps that can be combined to highlight locations where to develop LNAPL recovery operations. When the approach is applied to a LNAPL-contaminated area in Iran, we were able to narrow the locations for potential LNAPL recovery operations. Specifically, we combine maps of the LNAPL specific yield, an introduced term, and the LNAPL transmissivity where the LNAPL specific yield is the ratio of the recoverable to total LNAPL specific volumes. The LNAPL specific yield is a relative measure of the amount of LNAPL that potentially can be recovered while minimizing residual LNAPL in soils. The approach can be applied to sites where the recoverable and total LNAPL specific volumes and LNAPL transmissivities can be estimated using data from boreholes in the contaminated area.
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References
Abriola LM, Pinder GF (1985) A multiphase approach to the modeling of porous media contamination by organic compounds, 2, numerical simulation. Water Resour Res 21:19–26
API (American Petroleum Institute) (2007) LNAPL distribution and recovery model (LDRM). In: Distribution and recovery of petroleum hydrocarbon liquids in porous media. API Publ. No. 4760, vol 1. American Petroleum Institute, Washington, DC
Baehr AL, Corapcioglu MY (1987) A compositional multiphase model for groundwater contamination by petroleum products, 2, numerical solution. Water Resour Res 23:201–214
Bashi-Azghadi SN, Kerachian R (2010) Locating monitoring wells in groundwater systems using embedded optimization and simulation models. Sci Total Environ 408:2189–2198
Carsel RF, Parrish RS (1988) Develo** joint probability distribution of soil water retention characteristics. Water Resour Res 24:755–769
Dokou Z, Karatzas GP (2013) Multi-objective optimization for free-phase LNAPL recovery using evolutionary computation algorithms. Hydrol Sci J 58:671–685
Ebrahimi F, Nakhaei M, Nassery HR, Khodaei K, Kisi O et al (2019) Light non-aqueous phase liquids simulation using artificial intelligence models: Esmaeilabad aquifer case study. Groundw Sustain Dev 8:245–254
Farr AM, Houghtalen RJ, McWhorter DD et al (1990) Volume estimation of light nonaqueous phase liquids in porous media. Groundwater 28:48–56
Faust CR (1985) Transport of immiscible fluids within and below the unsaturated zone – a numerical model. Water Resour Res 21:587–596
ITRC (Interstate Technology & Regulatory Council) (2009) Evaluating LNAPL remedial technologies for achieving project goals. In: www.itrcweb.org (ed) LNAPL-2. Interstate Technology & Regulatory Council, Washington DC
Jeong J, Charbeneau RJ (2014) An analytical model for predicting LNAPL distribution and recovery from multi-layered soils. J Contam Hydrol 156:52–61
Kaluarachchi JJ, Parker JC (1989) An efficient finite element method for modeling multiphase flow in porous media. Water Resour Res 25:43–54
Kaluarachchi JJ, Parker JC, Lenhard RJ et al (1990) A numerical model for areal migration of water and light hydrocarbon in unconfined aquifer. Adv Water Resour 13:29–40
Kuppusamy T, Sheng J, Parker JC, Lenhard RJ et al (1987) Finite element analysis of multiphase immiscible flow through soils. Water Resour Res 23:625–631
Lenhard RJ, Parker JC (1990) Estimation of free hydrocarbon volume from fluid levels in monitoring wells. Groundwater 28:57–67
Lenhard RJ, Oostrom M, Dane JH et al (2004) A constitutive model for air-NAPL-water flow in the vadose zone accounting for immobile, non-occluded (residual) NAPL in strongly water-wet porous media. J Contam Hydrol 73:283–304
Lenhard RJ, Rayner JL, Davis GB et al (2017) A practical tool for estimating subsurface LNAPL distributions and transmissivity using current and historical fluid levels in groundwater wells: effects of entrapped and residual LNAPL. J Contam Hydrol 205:1–11
Parker JC, Lenhard RJ (1989) Vertical integration of three-phase flow equations for analysis of light hydrocarbon plume movement. Transp Porous Media 5:187–205
Parker JC, Lenhard RJ, Kuppusamy T et al (1987) A parametric model for constitutive properties governing multiphase flow in porous media. Water Resour Res 23:618–624
Pruess K, Battistelli A (2002) TMVOC, a numerical simulator for three-phase non-isothermal flows of multicomponent hydrocarbon mixtures in saturated-unsaturated heterogeneous media, 2.1 ed. Lawrence Berkeley National Laboratory, Berkeley, California
Qin X, Huang G, Yu H et al (2009a) Enhancing remediation of LNAPL recovery through a response-surface-based optimization approach. J Environ Eng 135:999–1008
Qin XS, Huang GH, He L et al (2009b) Simulation and optimization technologies for petroleum waste management and remediation process control. J Environ Manag 90:54–76
Rieben H (1955) The geology of the Tehran plain. Am J Sci 253:617–639
Sookhak Lari K, Safavi H (2008) A simulation-optimization model for “air praring” and “pump and treat” groundwater remediation technologies. J Environ Inf 12:44–53
Sookhak Lari K, Johnson CD, Rayner JL, Davis GB et al (2018) Field-scale multi-phase LNAPL remediation: validating a new computational framework against sequential field pilot trials. J Hazard Mater 345:87–96
Sookhak Lari K, Rayner JL, Davis GB et al (2019) Toward optimizing LNAPL remediation. Water Resour Res 55:923–936. https://doi.org/10.1029/2018WR023380
van Genuchten MT (1980) A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Science Society of America 44:892–898
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Highlights
• We introduce the concept of LNAPL specific yield (LSY) to maximize the LNAPL recovery rate and minimize the residual LNAPL in the subsurface.
• The use of inverse modeling to determine of van Genuchten parameters can save time and cost of measurements.
• The combination of LNAPL transmissivity and LNAPL specific yield maps to locate LNAPL recovery wells can remove the most LNAPL in the shortest time.
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Ebrahimi, F., Lenhard, R.J., Nakhaei, M. et al. An approach to optimize the location of LNAPL recovery wells using the concept of a LNAPL specific yield. Environ Sci Pollut Res 26, 28714–28724 (2019). https://doi.org/10.1007/s11356-019-06052-7
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DOI: https://doi.org/10.1007/s11356-019-06052-7