Effect of Hydraulic Conductivity Uncertainty on In Situ Bioremediation of Groundwater Contaminated with Dissolved Petroleum Hydrocarbons
Publication: Journal of Irrigation and Drainage Engineering
Volume 143, Issue 12
Abstract
The hydraulic conductivity of soils varies over several orders of magnitude, and its measurement is affected by experimental and field conditions. This paper applies Monte Carlo simulation (MCS) to ascertain the impact of hydraulic conductivity’s uncertainty on the bioremediation of groundwater contaminated with dissolved petroleum hydrocarbons. The model BIO PLUME II is implemented for simulating the bioremediation treatment. The effect of hydraulic conductivity uncertainty on bioremediation is assessed by means of MCS. This paper’s results indicate that the uncertainty in prediction of the residual contaminant concentration produced by bioremediation is higher at the center of mass of the contaminant plume than at its periphery. The results also show that the effect of hydraulic conductivity uncertainty on residual contaminant concentration is larger at intermediate times since the start of bioremediation than at early or late times of the treatment phase.
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References
Akbarnejad-Nesheli, S., Bozorg-Haddad, O., and Loáiciga, H. A. (2015). “Optimal in-situ bioremediation design of groundwater contaminated with dissolved petroleum hydrocarbons.” J. Hazard. Toxic Radioact. Waste, 04015021.
Angelakis, A. N., and Rolston, D. E. (1985). “Transient movement and transformation of carbon species in soil during wastewater application.” Water Resour. Res., 21(1), 141.
Baehr, A., and Corapcioglu, M. Y. (1985). “A predictive model for pollution from gasoline in soils and groundwater.” Proc., Petroleum Hydrocarbons and Organic Chemicals in Ground Water—Prevention, Detection, and Restoration, National Water Well Association, Worthington, OH, 144.
Bear, J. (1979). Hydraulics of groundwater. McGraw-Hill International, New York, 567.
BIO PLUME II [Computer software]. National Center of Groundwater Research, U.S. Environmental Protection Agency, Washington, DC.
Borden, R. C., and Bedient, P. B. (1986). “Transport of dissolved hydrocarbons influenced by oxygen-limited biodegradation. 1: Theoretical development.” Water Resour. Res., 22(13), 1973–1982.
Borden, R. C., Bedient, P. B., Lee, M. D., Ward, C. H., and Wilson, J. T. (1986). “Transport of dissolved hydrocarbons influenced by oxygen-limited biodegradation. 2: Field application.” Water Resour. Res., 22(13), 1983–1990.
Bozorg-Haddad, O., Rezapour Tabari, M. M., Fallah-Mehdipour, E., and Mariño, M. A. (2013). “Groundwater model calibration by meta-heuristic algorithms.” Water Resour. Manage., 27(7), 2515–2529.
Freeze, R. A., and Cherry, R. B. (1979). Groundwater, Prentice-Hall, Englewood Cliffs, NJ, 604.
He, L., Huang, C. H., and Lu, H. W. (2009). “A coupled simulation-optimization approach for groundwater remediation design under uncertainty: An application to a petroleum-contaminated site.” Environ. Pollut., 157(8–9), 2485–2492.
He, L., Huang, G. H., and Lu, H. W. (2008). “A simulation-based fuzzy chance-constrained programming model for optimal groundwater remediation under uncertainty.” Adv. Water Resour., 31(12), 1622–1635.
Hilton, B. C., and Beckford, O. M. (2001). “Multi-objective groundwater remediation design under uncertainty using robust genetic algorithms.” World Water Congress, ASCE, Reston, VA.
Kazemzadeh-Parsi, M. J., Daneshmand, F., Ahmadfard, M. A., Adamowski, J., and Martel, R. (2014). “Optimal groundwater remediation of pump and treat system via a simulation-optimization approach and firefly algorithm.” Eng. Optim., 47(1), 1–17.
Kosson, D. S., Agnihotri, G. C., and Ahlert, R. C. (1985). “Modeling of microbially active soil columns.” Computer applications in water resource, H. C. Torno, ed., ASCE, New York.
Liu, Y., and Minsker, B. S. (2004). “Full multiscale approach for optimal control of in situ bioremediation.” J. Water Resour. Plann. Manage., 26–32.
Loáiciga, H. A. (2015). “Probability distributions in groundwater hydrology: Methods and applications.” J. Hydrol. Eng., 04014063.
Luo, J., and Lu, W. (2014). “ Comparison of surrogate models with different methods in groundwater remediation process.” J. Earth Syst. Sci., 123(7), 1579–1589.
Mantoglou, A., and Kourakos, G. (2007). “Optimal groundwater remediation under uncertainty using multi-objective optimization.” Water Resour. Manage., 21(5), 835–847.
Mategaonkar, M., and Eldho, T. I. (2012). “Simulation-optimization model for in situ bioremediation of groundwater contamination using mesh-free PCM and PSO.” J. Hazard. Toxic Radioact. Waste, 207–218.
Minsker, B. S., and Shoemaker, C. A. (1998a). “Computational issues for optimal in-situ bioremediation design.” J. Water Resour. Plann. Manage., 39–46.
Minsker, B. S., and Shoemaker, C. A. (1998b). “Dynamic optimal control of in-situ bioremediation of groundwater.” J. Water Resour. Plann. Manage., 149–161.
Molz, F. J., Widdowson, M. A., and Benefield, L. D. (1986). “Simulation of micrcobial growth dynamics coupled to nutrient and oxygen transport in porous media,” Water Resour. Res., 22(8), 1207–1216.
Prasad, R. K., and Mathur, S. (2008). “Potential well locations in in situ bioremediation design using neural network embedded Monte Carlo approach.” Prac. Period. Hazard. Toxic Radioact. Waste Manage., 260–269.
Shieh, H. J., and Peralta, R. C. (2005). “Optimal in situ bioremediation design by hybrid genetic algorithm-simulated annealing.” J. Water Resour. Plann. Manage., 67–78.
Smalley, J. B., and Minsker, B. S. (2000). “Risk-based in situ bioremediation design using a noisy genetic algorithm.” Water Resour. Res., 36(10), 3043–3052.
Yan, S., and Minsker, B. (2010). “Applying dynamic surrogate models in noisy genetic algorithms to optimize groundwater remediation designs.” J. Water Resour. Plann. Manage., 284–292.
Yang, Q., He, L., and Lu, W. (2013). “A multi-optimization model for groundwater remediation design at petroleum contaminated sites.” Water Resour. Manage., 27(7), 2411–2427.
Yoon, J. H., and Shoemaker, C. A. (1999). “Comparison of optimization methods for groundwater bioremediation.” J. Water Resour. Plann. Manage., 54–63.
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Published In
Journal of Irrigation and Drainage Engineering
Volume 143 • Issue 12 • December 2017
Copyright
©2017 American Society of Civil Engineers.
History
Received: Oct 12, 2016
Accepted: Jun 14, 2017
Published online: Sep 29, 2017
Published in print: Dec 1, 2017
Discussion open until: Feb 28, 2018
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