Extension and field application of an integrated DNAPL source identification algorithm that utilizes stochastic modeling and a Kalman filter

Journal of Hydrology

Volumn 398, Issue 3-4, 2011, Pages 277-291

  Dokou, Zoi ^a   Pinder, George F ^a  

^a University of Vermont   (United States)

Author keywords

Choquet integral; DNAPL; Groundwater flow and transport modeling; Kalman filter; Monte Carlo simulation; Source identification

Indexed keywords

CHOQUET INTEGRAL; DNAPL; GROUNDWATER FLOW AND TRANSPORT MODELING; MONTE CARLO SIMULATION; SOURCE IDENTIFICATION;

ALGORITHMS; FLOW SIMULATION; GROUNDWATER; GROUNDWATER FLOW; INTEGRAL EQUATIONS; KALMAN FILTERS; LINEAR PROGRAMMING; MODELS; OPTIMIZATION; STOCHASTIC SYSTEMS; THREE DIMENSIONAL; WATER POLLUTION; WATER QUALITY;

MONTE CARLO METHODS;

GROUNDWATER FLOW; GROUNDWATER RESOURCE; HYDRAULIC CONDUCTIVITY; KALMAN FILTER; LINEAR PROGRAMING; MONTE CARLO ANALYSIS; OPTIMIZATION; STOCHASTICITY; UNCERTAINTY ANALYSIS; WATER QUALITY;

ALABAMA; UNITED STATES;

EID: 79551477292     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2010.12.029     Document Type: Article

References (47)

1. Alapati S., Kabala Z.J. Recovering the release history of a groundwater contaminant using a non-linear least-squares method. Hydrological Processes 2000, 14(6):1003-1016.
2. Aral M.B., Guan M.J., Maslia M.L. Identification of contaminant source location and release history in aquifers. Journal of Hydrologic Engineering 2001, 6(3):225-234.
3. Atmadja J., Bagtzoglou A.C. Pollution source identification in heterogeneous porous media. Water Resources Research 2001, (37):2113-2125.
4. Ayvaz M.T. A linked simulation-optimization model for solving the unknown groundwater pollution source identification problems. Journal of Contaminant Hydrology 2010, 117(1-4):46-59. 10.1016/j.jconhyd.2010.06.004.
5. Babu D.K., Pinder G.F. A finite element-finite difference alternating direction algorithm for three-dimensional groundwater transport. Advances in Water Resources 1984, 7:116-119.
6. Bagtzoglou A.C., Atmadja J. The marching-jury backward beam equation and quasi-reversibility methods for hydrologic inversion: application to contaminant plume spatial distribution recovery. Water Resources Research 2003, 39(2):1038. 10-1/10-14.
7. Bagtzoglou A.C., Baun S.A. Near real-time atmospheric contamination source identification by an optimization-based inverse method. Inverse Problems in Science and Engineering 2005, 13(3):241-259.
8. Baun, S.A., Bagtzoglou, A.C., 2004. A computationally attractive approach for near real-time contamination source identification. In: International Conference, Computational Methods in Water Resources, Chapel Hill, North Carolina.
9. Bagtzoglou A.C., Dougherty D.E., Tompson A.F.B. Application of particle methods to reliable identification of groundwater pollution sources. Water Resources Management 1992, (6):15-23.
10. Bagtzoglou A.C., Tompson A.F.B., Dougherty D.E. Probabilistic simulation for reliable solute source identification in heterogeneous porous media. Water Resources Engineering Risk Assessment, NATO ASI Series (G29) 1991, 189-201.
11. Datta B., Beegle J.E., Kavvas M.L., Orlob G.T. Development of an expert system embedding pattern recognition techniques for pollution source identification 1989, National Technical Information Service, Springfield, Virginia, USA.
12. Datta B., Chakrabarty D., Dhar A. Simultaneous identification of unknown groundwater pollution sources and estimation of aquifer parameters. Journal of Hydrology 2009, 376(1-2):48-57,. 10.1016/j.jhydrol.2009.07.014.
13. Dokou Z., Pinder G.F. Optimal search strategy for the definition of a DNAPL source. Journal of Hydrology 2009, 376(3-4):542-556. 10.1016/j.jhydrol.2009.07.062.
14. Dokou, Z., 2008. Optimal Search Strategy for the Definition of a DNAPL Source, Ph.D. Dissertation. Civil and Environmental Engineering, University of Vermont.
15. Drecourt, J.-P., 2004. Data Assimilation in Hydrogeological Modeling, Ph.D. Dissertation, DHI Water and Environment, Denmark, 2004.
16. Dubois D., Prade H. On the use of aggregation operations in information fusion processes. Fuzzy Sets and Systems 2004, 142:16-143.
17. Gorelick S.M., Evans B., Remson I. Identifying source of groundwater pollution: an optimization approach. Water Resources Research 1983, 19(3):779-790.
18. Gorelick S.M., Freeze R.A., Donohue D., Keely J.F. Groundwater Contamination: Optimal Capture and Containment 1993, Lewis Publishers.
19. Grabisch M. The application of fuzzy integrals in multicriteria decision making. European Journal of Operational Research 1996, 89:445-456.
20. Grabisch M. A graphical interpretation of the Choquet integral. IEE Transactions on Fuzzy Integrals 2000, 8(5):627-631.
21. Herrera G., Pinder G.F. Space-time optimization of groundwater quality sampling networks. Water Resources Research 2005, 41:W12407. 10.1029/2004WR003626.
22. Klir G.J., Wang Z. Fuzzy Sets and Fuzzy Logic: Theory and Applications 1995, Prentice-Hall, New Jersey.
23. Klir G.J., Wang Z., Harmanec D. Constructing fuzzy measures in expert systems. Fuzzy Sets and Systems 1997, 92:251-264.
24. Li, Z., 2007. Applications using the Ordinary and Extended Kalman Filter to Characterize Groundwater Contaminant Sources. Master Thesis, Civil and Environmental Engineering, University of Vermont.
25. Liu C., Ball W.P. Application of inverse methods to contaminant source identification from aquitard diffusion profiles. Water Resources Research 1999, 35(7):1975-1985.
26. Mahar P.S., Datta B. Identification of pollution sources in transient groundwater systems. Water Resources Management 2000, 14(3):209-227.
27. Mahar P.S., Datta B. Optimal monitoring network and ground-water-pollution source identification. Journal of Water Resources Planning and Management - ASCE 1997, 123(4):199-207.
28. Mahinthakumar G.K., Sayeed M. Hybrid genetic algorithm - local search methods for solving groundwater source identification inverse problems. Journal of Water Resources Planning and Management - ASCE 2005, 131(1):45-57.
29. Marichal J. An axiomatic approach of the discrete Choquet integral as a tool to aggregate interacting criteria. IEE Transactions on Fuzzy Systems 2000, (8):800-807.
30. Mirghani, B., Tryby, M., Ranjithan, R., Mahinthakumar, K., 2006. Grid-enabled simulation-optimization approach for solving groundwater characterization problems. In: Joint International Conference on Computing and Decision Making in Civil and Building Engineering, Montreal.
31. Neupauer R.M., Wilson J.L. Adjoint method for obtaining backward-in-time location and travel time probabilities of a conservative groundwater contamination. Water Resources Research 1999, 35(11):3389-3398.
32. Neupauer R.M., Wilson J.L. Adjoint-derived location and travel time probabilities in a multi-dimensional groundwater system. Water Resources Research 2001, 37(5):1657-1668.
33. Neupauer R.M., Wilson J.L. Backward probability model using multiple observations of contamination to identify groundwater contamination sources at the Massachusetts military reservation. Water Resources Research 2005, 41:W02015. 10.1029/2003WR002974.
34. Neupauer R.M., Lin R.H. Identifying sources of a conservative groundwater contaminant using backward probabilities conditioned on measured concentrations. Water Resources Research 2006, 42:W03424. 10.1029/2005WR004115.
35. SAIC, 2005. Anniston Army Depot Southeast Industrial Area Comprehensive Groundwater Remedial Investigation, Phase III at Anniston Army Depot, Anniston, Alabama, Draft.
36. SAIC, 2006. Anniston Army Depot Southeast Industrial Area Comprehensive Groundwater Feasibility Study for Operable Unit 1 at Anniston Army Depot, Anniston, Alabama, Draft.
37. Singh R.M., Datta B. Artificial neural network modeling for identification of unknown pollution sources in groundwater with partially missing concentration observation data. Water Resources Management 2007, 21(3):557-572. 10.1007/s11269-006-9029-
38. Singh R.M., Datta B., Jain A. Identification of unknown groundwater pollution sources using artificial neural networks. Journal of Water Resources Planning and Management - ASCE 2004, 130(6):506-514.
39. Skaggs T.H., Kabala Z.J. Recovering the history of a groundwater contaminant plume: method of quasi-reversibility. Water Resources Research 1995, 31(11):2669-2673.
40. Skaggs T.H., Kabala Z.J. Recovering the release history of a groundwater contaminant. Water Resources Research 1994, 30(1):71-79.
41. Snodgrass M.F., Kitanidis P.K. A geostatistical approach to contaminant source identification. Water Resources Research 1997, 33(4):537-546.
42. Sun A.Y. A robust geostatistical approach to contaminant source identification. Water Resources Research 2007, 43:W02418. 10.1029/2006WR005106.
43. Sun A.Y., Painter S.L., Wittmeyer G.W. A robust approach for iterative contaminant source location and release history recovery. Journal of Contaminant Hydrology 2006, 88(3-4):181-196.
44. Wagner B.J. Simultaneous parameter - estimation and contaminant source characterization for coupled groundwater - flow and contaminant transport modeling. Journal of Hydrology 1992, 135(1-4):275-303.
45. Woodbury A.D., Ulrych T.J. Minimum relative entropy inversion: theory and application to recovering the release history of a groundwater contaminant. Water Resources Research 1996, 32(9):2671-2681.
46. Zhang Y., Pinder G.F. Latin hypercube lattice sample selection strategy for correlated random hydraulic conductivity fields. Water Resources Research 2003, (39):1226. 10.1029/2002WR001822.
47. Zhang Y., Pinder G.F. Least cost design of groundwater quality monitoring networks. Water Resources Research 2005, 41:W08412. 10.1029/2005WR003936.