Technical Papers
Jun 15, 2012

Simulation-Optimization Model for In Situ Bioremediation of Groundwater Contamination Using Mesh-Free PCM and PSO

This article has a reply.
VIEW THE REPLY
This article has a reply.
VIEW THE REPLY
Publication: Journal of Hazardous, Toxic, and Radioactive Waste
Volume 16, Issue 3

Abstract

Groundwater pollution is a major problem in many parts of the world. Many of the contaminated sites, especially in industrial areas, are affected by organic biodegradable contaminants such as trichloro-ethylene (TCE), tetrachloroethylene, or other organic contaminants. In situ bioremediation is especially suitable for such organic contaminants. In situ bioremediation of groundwater involves the injection of oxygen to enhance the biodegradation and accelerate the remediation of contaminated sites using microorganisms (yeast, fungi, or bacteria) to break down or degrade hazardous substances into less toxic or nontoxic substances. For the optimal design of an in situ bioremediation system, one should know the optimal injection rate and other physical processes taking place. Because of the nonlinear, nonanalytical nature of the groundwater pollution transport and remediation process, numerical methods are a must to solve the problem. Modeling bioremediation involves solving biodegradation equations, locating the oxygen injection wells, and fixing up the time of remediation The mesh-free (MFree) method is a numerical approach to solve these partial differential equations (PDE) in a simple manner. The method uses the number of scattered nodes in the domain and on the boundary. In this paper, for simulation of bioremediation, an MFree point collocation method (PCM)–based simulation model, PCM-BIO, is proposed. To determine the optimal injection rate, use of an optimization model along with a simulation model ensures that designs are optimal for the specified site conditions. To solve complex optimization problems, particle swarm optimization (PSO) is found to be very effective and simple. In the present study, a PSO-based model is proposed for optimization of in situ bioremediation. Furthermore, combining the PCM simulation model and PSO optimization model, a PCM-BIO-PSO model is developed to study the complex bioremediation process of groundwater contamination. The developed PCM-transport model is initially verified with the available analytical solution, and PCM-BIO is verified with the BIOPLUME II model. Moreover the PCM-BIO-PSO model results are compared with the results of a model based on the FEM–successive approximation linear quadratic regulator (FEM-SALQR) results. Both of the model comparisons showed good agreement with each other, proving the applicability of the present approach.

Get full access to this article

View all available purchase options and get full access to this article.

References

American Petroleum Institute. (1982). “Enhancing the microbial degradation of underground gasoline by increasing available oxygen.” Publication No. 4428, Washington, D.C.
Atluri, S. N., and Shen, S. (2002). “The meshless local Petrov-Galerkin (MLPG) method: A simple & less-costly alternative to the finite element and boundary element methods.” CMES, 3(1), 11–51.
Atluri, S. N., and Zhu, T. (1998). “A new meshless local Petrov-Galerkin (MLPG) approach in computational mechanics.” Comput. Mech., 22(2), 117–127.
Bear, J. (1979). Hydraulics of groundwater, McGraw-Hill, New York.
Bedient, P. B., Rifai, H. S., and Newell, C. J. (1999). Groundwater contamination-transport and remediation, 2nd Ed., Prentice Hall, Englewood Cliffs, New Jercy.
Borden, R. C., and Bedient, P. B. (1986). “Transport of dissolved hydrocarbons influenced by oxygen-limited biodegradation: 1. Theoretical development.” Water Resour. Res.WRERAQ, 22(13), 1973–1982.
Brusseau, M. L., Xie, L. H., and Li, L. (1999). “Biodegradation during contaminant transport in porous media.” J. Contam. Hydrol.JCOHE6, 37(3–4), 269–293.
Chang, L. C., Shoemaker, C. A., and Liu, P. L.-F. (1992). “Optimal time varying pumping rates for groundwater remediation: Application of a constrained optimal algorithm.” Water Resour. Res.WRERAQ, 28(12), 3157–3173.
Culver, T. B., and Shoemaker, C. A. (1992). “Dynamic optimal control for groundwater remediation with flexible management periods.” Water Resour. Res.WRERAQ, 28(3), 629–641.
Dehgan, M., and Shokri, A. (2007). “A numerical method for two-dimensional Schrödinger equation using collocation and radial basis functions.” J. Comput. Math. Appl., 54(1), 136–146.
Domenico, P. (1987). “An analytical model for multidimensional transport of a decaying contaminant species.” J. Hydrol. (Amsterdam, Neth.)JHYDA7, 91(1–2), 49–58.
Eberhart, R. C., Simpson, P., and Dobbins, R. (1996). Computational intelligence PC tools, Academic Press, Boston.
Garrett, C. A., Huang, J., Goltz, M. N., and Lamont, G. B. (1999). “Parallel real-valued genetic algorithms for bioremediation optimization of TCE-contaminated groundwater.” Proc., Congress on Evolutionary Computation, Washington, D.C., 3, 2183–2189.
Hinchee, R. E., Downey, D. C., and Coleman, E. J. (1987). “Enhanced bioreclamation, soil venting and groundwater extraction: A cost-effectiveness and feasibility comparison.” Proc., NWWA/API Conf. on Petroleum Hydrocarbons and Organic Chemicals in Groundwater-Prevention, Detection and Restoration: A Conference and Exposition, National Water Well Association, Dublin, OH.
Horng, J. S., Richard, C., and Peralta, C. (2005). “Optimal in situ bioremediation design by hybrid genetic algorithm-simulated annealing.” J. Water Resour. Plann. Manage.JWRMD5, 131(1), 67–78.
Hu, Z., Chan, C. W., and Huang, G. H. (2007). “Multi-objective optimization for process control of the in-situ bioremediation system under uncertainty.” Eng. Appl. Artif. Intell.EAAIE6, 20(2), 225–237.
Iske, A. (2003). “Meshfree Lagrangian advection schemes for the numerical simulation of transport processes.” International Workshop on MeshFree Methods 2003, Lisbon, Portugal.
Kansa, E. J. (1990). “Multiquadrics—A scattered data approximation scheme with application to computational fluid dynamics—II solutions to parabolic, hyperbolic and elliptic partial differential equation.” J. Comput. Math. Appl., 19(8/9), 147–161.
Kennedy, J., and Eberhart, R. C. (2001). Swarm intelligence, Academic Press, California.
Kennedy, J., and Eberhart, R. C. (1995). “Particle swarm optimization.” Proc., IEEE Int. Conf. on Neural Networks IV, IEEE Service Center, Piscataway, NJ, 1942–1948.
Knarr, M. R. (2003). “Optimizing an in situ bioremediation technology to manage perchlorate-contaminated groundwater.” M.S. thesis, Air Force Institute of Technology (AU), Wright-Patterson AFB, Dayton, OH.
Li, J., Chen, Y., and Pepper, D. (2003). “Radial basis function method for 1-D and 2-D groundwater.” Comput. Mech., 32(1–2), 10–15.
Lin, H., and Atluri, S. N. (2000). “Meshless local Petrov-Galerkin (MLPG) method for convection-diffusion problems.” CMES, 1(2), 45–60.
Liu, G. R. (2003). Mesh free methods: Moving beyond the finite element method, CRC Press, Boca Raton, Florida.
Liu, G. R., and Gu, Y. T. (2005). An introduction to meshfree methods and their programming, Springer, Dordrecht, the Netherlands.
Liu, X. (2006). “Radial point collocation method (RPCM) for solving convection diffusion problems.” J. Zhejiang Univ., Sci., AJZUSFR, 7(6), 1061–1067.
Liu, X., Liu, G. R., Tai, K., and Lam, K. Y. (2005). “Radial point interpolation collocation method (RPICM) for the solution of nonlinear Poisson problems.” Comput. Mech., 36(4), 298–306.
Mategaonkar, M., and Eldho, T. I. (2011a). “Meshless point collocation method for 1D and 2D groundwater flow simulation.” ISH J. Hydraul. Eng.JHEND8, 17(1), 71–87.
Mategaonkar, M., and Eldho, T. I. (2011b). “Simulation of groundwater flow in unconfined aquifer using meshfree polynomial point collocation method.” Eng. Anal. Boundary Elem.EABAEL, 35(4), 700–707.
Mategaonkar, M., Eldho, T. I., and Gurunathrao, V. V. S. (2011c). “Simulation of groundwater flow and contaminant transport in unconfined aquifer using meshfree point collocation method.” Proc., Int. Conf. on International Perspective on Water and Environment (IPWE)-2011, National University of Singapore, Singapore.
Minsker, B. S., and Shoemaker, C. A. (1996). “Differentiating a finite element biodegradation simulation model for optimal control.” Water Resour. Res.WRERAQ, 32(1), 187–192.
Minsker, B. S., and Shoemaker, C. A. (1998). “Dynamic optimal control of in situ bioremediation of groundwater.” J. Water Resour. Plann. Manage.JWRMD5, 124(3), 149–161.
National Academy of Science (NAS). (1993). In situ bioremediation: When does it work? National Academy Press, Washington, D.C.
Parr, J. C. (2002). “Application of horizontal flow treatment wells for in situ treatment of perchlorate contaminated groundwater.” M.S. thesis, Air Force Institute of Technology (AU), Wright-Patterson AFB, Dayton, OH.
Parsopoulos, K. E., Plagianakos, V. P., Magoulas, G. D., and Vrahatis, M. N. (2001). “Stretching technique for obtaining global minimizers through particle swarm optimization.” Proc., Workshop on Particle Swarm Optimization, Purdue School of Engineering and Technology, Indiana University-Purdue University at Indianapolis (IUPUI), Indianapolis.
Prasad, R. K., and Mathur, S. (2008). “Groundwater flow and contaminant transport simulation with imprecise parameters.” J. Irrig. Drain. Eng.JIDEDH, 134(2), 268–269.
Praveenkumar, R., and Dodagoudar, G. R. (2008). “Two-dimensional modeling of contaminant transport through saturated porous media using the radial point interpolation method (RPIM).” J. Hydrogeol., 16(8), 1497–1505.
Praveen Kumar, R., and Dodagoudar, G. R. (2010). “Modeling of contaminant transport through landfill liners using EFGM.” Int. J. Numer. Anal. Methods Geomech., 34(7), 661–688.
Qin, X. S., Huang, G. H., and Chakma, A. (2007). “A stepwise-inference-based optimization system for supporting remediation of petroleum-contaminated sites.” Water, Air, Soil Pollut.WAPLAC, 185(1–4), 349–368.
Rifai, H. S., Newell, C. J., Gonzales, J. R., Dendrou, S. B., Kennedy, L., and Wilson, J. T. (1998). User’s manual, BIOPLUME III, natural attenuation decision support system, version 1.0, U.S. Air Force Center for Environmental Excellence, Brooks Air Force Base, San Antonio.
Shawn, M. L., Rabideau, A. J., and Craig, J. R. (2006). “Pump-and-treat optimization using analytic element method flow models.” J. Adv. Water Resour.AWREDI, 29(5), 760–775.
Wang, H., and Anderson, M. P. (1982). Introduction to groundwater modeling: Finite difference and finite element methods, W. H. Freeman and Company, New York.
Yoon, J.-H., and Shoemaker, C. A. (2001). “Improved real coded GA for groundwater bioemediation.” J. Comput. Civ. Eng.JCCEE5, 15(3), 224–231.
Zerroukat, M., Djidjeli, K., and Chara, A. (2000). “Explicit and implicit meshless methods for linear advection diffusion-type partial differential equations.” J. Numer. Methods Eng., 48(1), 19–35.

Information & Authors

Information

Published In

Go to Journal of Hazardous, Toxic, and Radioactive Waste
Journal of Hazardous, Toxic, and Radioactive Waste
Volume 16Issue 3July 2012
Pages: 207 - 218

History

Received: Mar 19, 2011
Accepted: Jul 18, 2011
Published online: Jun 15, 2012
Published in print: Jul 1, 2012

Permissions

Request permissions for this article.

Authors

Affiliations

Meenal Mategaonkar [email protected]
Research Scholar, Dept. of Civil Engineering, Indian Institute of Technology Bombay, Mumbai 400076, India. E-mail: [email protected]
T. I. Eldho [email protected]
Professor, Dept. of Civil Engineering, Indian Institute of Technology Bombay, Mumbai 400076, India (corresponding author). E-mail: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share