Potential well locations in in situ bioremediation design using neural network embedded monte carlo approach

Practice Periodical of Hazardous, Toxic, and Radioactive Waste Management

Volumn 12, Issue 4, 2008, Pages 260-269

  Prasad, Ram Kailash ^a   Mathur, Shashi ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY DELHI   (India)

Author keywords

Algorithms; Biological treatment; Monte Carlo method; Neural networks; Simulation; Wells

Indexed keywords

BIODEGRADATION; BIOREMEDIATION; BIOTECHNOLOGY; ENVIRONMENTAL ENGINEERING; GROUNDWATER; GROUNDWATER POLLUTION; GROUNDWATER RESOURCES; HYDROGEOLOGY; IMAGE CLASSIFICATION; LOCATION; MONTE CARLO METHODS; NEURAL NETWORKS; OPTICAL RESOLVING POWER; POLLUTION; UNDERGROUND RESERVOIRS; WELLS;

ALGORITHMS; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL TREATMENT; COMPUTATIONAL BURDEN; CONTAMINATED GROUNDWATER; GROUND WATER REMEDIATION; GROUNDWATER REMEDIATION DESIGN; IN SITU BIOREMEDIATION; INJECTION RATES; INJECTION WELLS; MONTE CARLO APPROACH; MONTE CARLO METHOD; MONTE-CARLO SIMULATIONS; OPTIMAL PUMPING; OPTIMIZATION ALGORITHMS; POTENTIAL WELLS; PUMPING RATES; SIMULATION; SIMULATION MODELLING; TIME FRAMES; TO MANY; WELL LOCATIONS;

INJECTION (OIL WELLS);

ARTIFICIAL NEURAL NETWORK; BIOREMEDIATION; COMPUTER SIMULATION; DESIGN; GROUNDWATER; METHODOLOGY; MONTE CARLO ANALYSIS; OPTIMIZATION; PUMPING; WATER TREATMENT;

EID: 52649101979     PISSN: 1090025X     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)1090-025X(2008)12:4(260)     Document Type: Article

References (37)

1. Ahlfeld, D. P., and Sawyer, C. S. (1990). "Well location in capture zone design using simulation and optimization techniques." Ground Water GRWAAP0017-467X10.1111/j.1745-6584.1990.tb01705.x, 28(4), 507-512.
2. Aly, A. H., and Peralta, R. C. (1999). "Optimal design of aquifer cleanup systems under uncertainty using a neural network and a genetic algorithm." Water Resour. Res. WRERAQ0043-139710.1029/98WR02368, 35(8), 2523-2532.
3. Anmala, J., Zhang, B., and Govindaraju, R. S. (2000). "Comparison of ANNs and empirical approaches for predicting watershed runoff." J. Water Resour. Plann. Manage. JWRMD50733-949610.1061/ (ASCE)0733-9496(2000)126:3(156), 126(3), 156-166.
4. ASCE Task Committee on Application of Artificial Neural Networks in Hydrology. (2000). "Artificial neural network in hydrology. I: Preliminary concepts." J. Hydrol. Eng. JHYEFF1084-069910.1061/ (ASCE)1084-0699(2000)5:2(115), 5(2), 115-123.
5. Atiya, A., and Ji, C. (1997). "How initial conditions affect generalization performance in large networks." IEEE Trans. Neural Netw. ITNNEP1045-9227, 8(2), 448-451.
6. Ballio, F., and Guadagnini, A. (2004). "Convergence assessment of numerical Monte Carlo simulations in groundwater hydrology." Water Resour. Res. WRERAQ0043-1397, 40.
7. Bobba, A. G., Singh, V. P., and Bengtsson, L. (1996). "Application of first-order and Monte Carlo analysis in watershed water quality models." Water Resour. Manage. WRMAEJ0920-474110.1007/BF00424204, 10, 219-240.
8. Borden, R. C., and Bedient, P. B. (1986). "Transport of dissolved hydrocarbons influenced by oxygen limited biodegradation. 1: Theoretical development." Water Resour. Res. WRERAQ0043-1397, 22(13), 1973-1982.
9. Deb, K. (2000). "An efficient constraint handling method for genetic algorithms." Comput. Methods Appl. Mech. Eng. CMMECC0045-782510.1016/S0045-7825(99)00389-8, 186, 311-338.
10. Demuth, H., and Beale, M. (1997). Neural network toolbox for use with MATLAB, user's guide, version 3.0, The Mathworks Inc., Natick, Mass.
11. Goldberg, D. E. (1989). Genetic algorithms, Addison-Wesley, Reading, Mass.
12. Gorelick, S. M. (1983). "A review of distributed parameter groundwater management modeling methods." Water Resour. Res. WRERAQ0043-139710.1029/WR019i002p00305, 19(2), 305-319.
13. Gorelick, S. M., Voss, C. I., Gill, P. E., Saunders, M. A., and Wright, M. H. (1984). "Aquifer reclamation design: The use of contaminant transport simulation coupled with non linear programming." Water Resour. Res. WRERAQ0043-139710.1029/WR020i004p00415, 20(4), 415-427.
14. Guan, J., and Aral, M. M. (1999). "Optimal remediation with well locations and pumping rates selected as continuous decision variables." J. Hydrol. JHYDA70022-169410.1016/ S0022-1694(99)00079-7, 221, 20-42.
15. Hagan, M. T., Demuth, H. B., and Beale, M. (1996). Neural network design, PWS Publishing Company, Boston.
16. Hsiao, C. T., and Chang, L. C. (2005). "Optimization remediation of an unconfined aquifer using a hybrid algorithm." Ground Water GRWAAP0017-467X, 43(6), 904-915.
17. Huang, C., and Mayer, A. S. (1997). "Pump and treat optimization using well locations and pumping rate as decision variables." Water Resour. Res. WRERAQ0043-139710.1029/97WR00366, 33(5), 1001-1012.
18. Johnson, V. M., and Rogers, L. L. (1995). "Location analysis in groundwater remediation using neural networks." Ground Water GRWAAP0017-467X10.1111/j.1745-6584.1995.tb00021.x, 33(5), 749-758.
19. Johnson, V. M., and Rogers, L. L. (2000). "Accuracy of neural network approximators in simulation-optimization." J. Water Resour. Plann. Manage. JWRMD50733-949610.1061/(ASCE)0733-9496(2000)126:2(48), 126(2), 48-56.
20. Konikow, L. F., and Bredehoeft, J. D. (1989). "Computer model of two-dimensional solute transport and dispersion in groundwater." Techniques of Water Resources Investigation of the United States Geological Survey, Book 7, Reston, Va.
21. Maier, H. R., and Dandy, G. C. (2000). "Neural networks for the prediction and forecasting of water resources variables: A review of modelling issues and applications." Environ. Modell. Software EMSOFT1364-815210.1016/S1364-8152(99)00007-9, 15, 101-124.
22. McCuen, R. H. (1985). Statistical methods for engineers, Prentice-Hall, Englewood Cliffs, N.J.
23. Minsker, B. S., and Shoemaker, C. A. (1998). "Computational issues for optimal in-situ bioremediation design." J. Water Resour. Plann. Manage. JWRMD50733-949610.1061/(ASCE)0733-9496(1998)124:1(39), 124(1), 39-46.
24. Morshed, J., and Kaluarachchi, J. J. (1998). "Application of artificial neural network and genetic algorithm in flow and transport simulations." Adv. Water Resour. AWREDI0309-170810.1016/ S0309-1708(98)00002-5, 22(2), 145-158.
25. Prasad, R. K., and Mathur, S. (2007). "Groundwater flow and contaminant transport simulation with imprecise parameters." J. Irrig. Drain. Eng. JIDEDH0733-943710.1061/ (ASCE)0733-9437(2007)133:1(61), 133(1), 61-70.
26. Rao, S. V. N., Bhallamudi, S. M., Thandaveswara, B. S., and Mishra, G. C. (2004). "Conjunctive use of surface and groundwater for coastal and deltaic systems." J. Water Resour. Plann. Manage. JWRMD50733-949610.1061/(ASCE)0733-9496(2004)130:3(255), 130(3), 255-267.
27. Rao, S. V. N., Kumar, S., Shekhar, S., and Chakraborty, D. (2006). "Optmal pumping from skimming wells." J. Hydrol. Eng. JHYEFF1084-069910.1061/(ASCE)1084-0699(2006)11:5(464), 11(5), 464-471.
28. Rifai, H. S., Bedient, P. B., Wilson, K. M., Miller, K. M., and Armstrong, J. M. (1988). "Biodegradation modeling at an aviation fuel spill site." J. Environ. Eng. JOEEDU0733-9372, 114(5), 1007-1029.
29. Rifai, H. S., Newell, C. J., Gonzales, J. R., Dendrou, S., Kennedy, L., and Wilson, J. T. (1997). BIOPLUME III natural attenuation decision support system, version 1.0, user's manual, Air Force Center for Environmental Excellence (AFCEE), San Antonio, Tex.
30. Rifai, H. S., Newell, C. J., Gonzales, J. R., and Wilson, J. T. (2000). "Modelling natural attenuation of fuels with BIOPLUME III." J. Environ. Eng. JOEEDU0733-937210.1061/(ASCE)0733-9372(2000)126:5(428), 126(5), 428-438.
31. Shieh, H.-J., and Peralta, R. C. (2005). "Optimal in situ bioremediation design by hybrid genetic algorithm-simulated annealing." J. Water Resour. Plann. Manage. JWRMD50733-949610.1061/ (ASCE)0733-9496(2005)131:1(67), 131(1), 67-78.
32. USEPA. (2004). "How to evaluate alternative cleanup technologies for underground storage tank sites: A guide to corrective action plan reviewers." Rep. No. EPA/510-R-04-002, Office of Solid Waste and Emergency Response, Washington, D.C.
33. Wang, W., and Ahlfeld, D. P. (1994). "Optimal groundwater remediation with well location as a decision variable: Model development." Water Resour. Res. WRERAQ0043-139710.1029/93WR03552, 30(5), 1605-1618.
34. Wu, J., Zou, R., and Yu, S. L. (2006). "Uncertainty analysis for coupled watershed and water quality modeling systems." J. Water Resour. Plann. Manage. JWRMD50733-949610.1061/ (ASCE)0733-9496(2006)132:5(351), 132(5), 351-361.
35. Zheng, C., and Bennett, G. D. (2002). Applied contaminant transport modeling, Wiley, New York.
36. Zheng, C., and Wang, P. P. (2002). "A field demonstration of the simulation optimization approach for remediation system design." Ground Water GRWAAP0017-467X10.1111/j.1745-6584.2002.tb02653.x, 40(3), 258-265.
37. Zou, R., Lung, W.-S., and Guo, H. (2002). "Neural network embedded Monte Carlo approach for water quality modeling under input information uncertainty." J. Comput. Civ. Eng.JCCEE50887-380110.1061/ (ASCE)0887-3801(2002)16:2(135), 16(2), 135-142.