[1]
Ababou, R., Bagtzoglou, A. C., & Mallet, A. (2010). Anti-Diffusion and Source Identification with the RAW Scheme: A Particle-Based Censored Random Walk. Environmental Fluid Mechanics, 10, 41-76
http://dx.doi.org/10.1007/s10652-009-9153-4
[2]
Aral, M. M., Guan, J., & Maslia, M. L. (2001). Identification of Con-taminant Source Location and Release History in Aquifers. Journal of Hydrologic Engineering, 6, 225-234.
http://dx.doi.org/10.1061/(ASCE)1084-0699(2001)6:3(225)
[3]
Atmadja, J., & Bagtzoglou, A. C. (2001). State of the Art Report on Mathematical Methods to Reliable of Groundwater Pollution Source Identification. Environmental Forensics, 2, 205-214.
http://dx.doi.org/10.1006/enfo.2001.0055
[4]
Ayvaz, T. M. (2010). A Linked Simulation-Optimization Model for Solving the Unknown Groundwater Pollution Source Identification Problems. Journal of Contaminant Hydrology, 117, 46-59.
http://dx.doi.org/10.1016/j.jconhyd.2010.06.004
[5]
Bagtzoglou, A. C. (2003). On the Non-Locality of Reversed Time Particle Tracking Methods. Environmental Forensics, 4, 215-225.
http://dx.doi.org/10.1080/713848511
[6]
Chadalavada, S., Datta, B., & Naidu, R. (2011). Optimisation Approach for Pollution Source Identification in Groundwater: An Overview. International Journal of Environment and Waste Manage-ment, 8, 40-61.
http://dx.doi.org/10.1504/IJEWM.2011.040964
[7]
Datta, B., Arachchige, R. R, Prakash, O., Amirabdollihan, M., Chadalavada, S., & Naidu, R. (2013a). Integrated Software for Characterizing Groundwater Pollution Sources in a polluted aquifer CARE-GWSID—Software User Manual, James Cook University and CRC-CARE.
[8]
Datta, B., Beegle, J. E., Kavvas, M. L., & Orlob, G. T. (1989). Development of an Expert-System Embedding Pattern-Recognition Techniques for Pollution Source Identification. Technical Report: PB-90-185927/XAB, OSTI ID: 6855981. Davis, CA: Dept. of Civil Engineering, California Univ.
[9]
Datta, B., Chakrabarty, D., & Dhar, A. (2009a). Optimal Dynamic Monitoring Network Design and Identification of Unknown Groundwater Pollution Sources. Water Resour. Manage., Springer, 23, 2031-2049.
[10]
Datta, B., Chakrabarty, D., & Dhar, A. (2009b). Simultaneous Identification of Unknown Groundwater Pollution Sources and Estimation of Aquifer Parameters. J. Hydrol., 376, 48-57.
[11]
Datta, B., Chakrabarty, D., & Dhar, A. (2011). Identification of Unknown Groundwater Pollution Sources Using Classical Optimization with Linked Simulation. Journal of Hydro-Environment Research, 5, 25-36.
http://dx.doi.org/10.1016/j.jher.2010.08.004
[12]
Datta, B., Prakash, O., Campbell, S., & Escalada, G., (2013b). Efficient Identification of Unknown Groundwater Pollution Sources Using Linked Simulation-Optimization Incorporating Monitoring Location Impact Factor and Frequency Factor. Water Resources Management, 27, 4959-4976.
http://dx.doi.org/10.1007/s11269-013-0451-8
[13]
Domenico, P. A., & Schwartz, F. W. (1998). Physical and Chemical Hydrogeology (2nd ed.). New York: John Wiley & Sons, Inc.
[14]
Goffe, W. L. (1996). SIMANN: A Global Optimization Algorithm Using Simulated Annealing, Studied in Nonlinear Dynamics and Econometrics. Berkeley Electronic Press.
[15]
Gorelick, S. M., Evans, B., & Ramson, I. (1983). Identifying Sources of Groundwater Pollution: An Optimization Approach. Water Resources Research, 19, 779-790.
http://dx.doi.org/10.1029/WR019i003p00779
[16]
Harbaugh, A. W., Banta, E. R., Hill, M. C., & McDonald, M. G. (2000). MODFLOW-2000, the U.S. Geological Survey modular Ground-Water Model. U.S. Geological Survey Open-File Report. 00-92, 121 p.
[17]
Jha, M. K., & Datta, B. (2011). Simulated Annealing Based Simulation-Optimization Approach for Identification of Unknown Contaminant Sources in Groundwater Aquifers. Desalination and Water Treatment, 32, 79-85.
http://dx.doi.org/10.5004/dwt.2011.2681
[18]
Jha, M. K., & Datta, B. (2012). Linked Simulation-Optimization Based Methodologies for Unknown Groundwater Pollutant Source Identification in Managed and Unmanaged Contaminated Sites. Chapter 4, PhD Thesis, James Cook University.
[19]
Kirkpatrick, S., Gelatt, D. C., & Vecchi, P. M. (1983). Optimization by Simulated Annealing. Science, 220, 671-680.
http://dx.doi.org/10.1126/science.220.4598.671
[20]
Mahar, P. S., & Datta, B. (1997). Optimal Monitoring Network and Ground-Water Pollution Source Identification. Journal of Water Resources Planning and Management, 123, 199-207.
http://dx.doi.org/10.1061/(ASCE)0733-9496(1997)123:4(199)
[21]
Mahar, P. S., & Datta, B. (2000). Identification of Pollution Sources in Transient Groundwater System. Water Resources Management, 14, 209-227.
http://dx.doi.org/10.1023/A:1026527901213
[22]
Mahar, P. S., & Datta, B. (2001). Optimal Identification of Ground-Water Pollution Sources and Parameter Estimation. Journal of Water Resources Planning and Management, 127, 20-29.
http://dx.doi.org/10.1061/(ASCE)0733-9496(2001)127:1(20)
[23]
Marsden, J. (2011). Report for Strengthening Basin Communities—Planning Study Business Case—Enhancing Dubbo’s Irrigation System. Dubbo City Council.
[24]
Metropolis, N., Rosenbluth, A., Rosenbluth, M., Teller, A., & Teller, E. (1953). Equation of State Calculations by Fast Computing Machines. The Journal of Chemical Physics, 21, 1087-1092.
http://dx.doi.org/10.1063/1.1699114
[25]
Prakash, O., & Datta, B. (2012). Sequential Optimal Monitoring Network Design and Iterative Spatial Estimation of Pollutant Concentration for Identification of Unknown Groundwater Pollution Source Locations. Environmental Monitoring and Assessment, 185, 5611-5626.
http://dx.doi.org/10.1007/s10661-012-2971-8
[26]
Prakash, O., & Datta, B. (2014a). Optimal Monitoring Network Design for Efficient Identification of Unknown Groundwater Pollution Sources. Int. J. of GEOMATE, 6, 785-790.
[27]
Prakash, O., & Datta, B. (2014b). Characterization of Groundwater Pollution Sources with Unknown Release Time History. Journal of Water Resource and Protection, 6, 337-350.
http://dx.doi.org/10.4236/jwarp.2014.64036
[28]
Prakash, O., & Datta, B. (2014b). Optimal Monitoring Network Design and Identification of Unknown Pollutant Sources in Polluted Aquifers. Chapter 6, PhD Thesis, James Cook University.
[29]
Prakash, O., & Datta, B., (2013). A Multi-Objective Monitoring Network Design for Efficient Identification of Unknown Groundwater Pollution Sources Incorporating Genetic Programming Based Monitoring. Journal of Hydrologic Engineering, 19, 04014025.
http://dx.doi.org/10.1061/(ASCE)HE.1943-5584.0000952
[30]
Puech, V. (2010). Upper Macquarie Groundwater Model. Technical Report VW04680, Office of Water, NSW Government and National Water Commission, Australia.
[31]
Rushton, K. R., & Redshaw, S. C. (1979). Seepage and Groundwater Flow. New York: Wiley.
[32]
Sidauruk, P., Cheng, A. H.-D., & Ouazar, D. (1997). Groundwater Contaminant Source and Transport Parameter Identification by Correlation Coefficient Optimization. Groundwater, 36, 208-214.
http://dx.doi.org/10.1111/j.1745-6584.1998.tb01085.x
[33]
Singh, R. M., & Datta, B. (2004). Groundwater Pollution Source Identification and Simultaneous Parameter Estimation Using Pattern Matching by Artificial Neural Network. En-vironmental Forensics, 5, 143-159.
http://dx.doi.org/10.1080/15275920490495873
[34]
Singh, R. M., & Datta, B. (2006). Identification of Groundwater Pol-lution Sources Using GA-Based Linked Simulation Optimization Model. Journal of Hydrologic Engineering, 11, 101-109.
http://dx.doi.org/10.1061/(ASCE)1084-0699(2006)11:2(101)
[35]
Singh, R. M., & Datta, B. (2007). Artificial Neural Network Modeling for Identification of Unknown Pollution Sources in Groundwater with Partially Missing Concentration Observation Data. Water Resources Management, 21, 557-572.
http://dx.doi.org/10.1007/s11269-006-9029-z
[36]
Singh, R. M., Datta, B., & Jain, A. (2004). Identification of Unknown Groundwater Pollution Sources Using Artificial Neural Networks. J. Water Resour. Plan. Manage., 130, 506-514.
http://dx.doi.org/10.1061/(ASCE)0733-9496(2004)130:6(506)
[37]
Sun, A. Y., Painter, S. L., & Wittmeyer, G. W. (2006). A Robust Approach for Contaminant Source Location and Release History Recovery. J. Contam. Hydrol., 88, 29-44.
[38]
Wagner, B. J. (1992). Simultaneous Parameter Estimation and Contaminant Source Characterization for Coupled Groundwater Flow and Contaminant Transport Modeling. Journal of Hydrology, 135, 275-303.
http://dx.doi.org/10.1016/0022-1694(92)90092-A
[39]
Woodbury, A. D., Sudicky, E., Ulrych, T. J., & Ludwig, R. (1998). Three-Dimensional Plume Source Reconstruction Using Minimum Relative Entropy Inversion. Journal of Contaminant Hydrology, 32, 131-158.
http://dx.doi.org/10.1016/S0169-7722(97)00088-0
[40]
Yeh, W. W.-G. (1986). Review of Parameter Identification Procedure in Groundwater Hydrology: The Inverse Problem. Water Resour. Res., 22, 95-108.
http://dx.doi.org/10.1029/WR022i002p00095
[41]
Zheng, C., & Wang, P. P. (1999). MT3DMS, A Modular Three-Dimensional Multi-Species Transport Model for Simulation of Advection, Dispersion and Chemical Reactions of Contaminants in Groundwater Systems. Vicksburg, MS: U.S. Army Engineer Research and Development Center Contract Report SERDP-99-1, 202 p.
