Stochastic and Robust Multi-Objective Optimal Management of Pumping from Coastal Aquifers Under Parameter Uncertainty

Water Resources Management

Volumn 28, Issue 7, 2014, Pages 2005-2019

  Sreekanth, J ^a,b,c   Datta, Bithin ^a,b  

^a JAMES COOK UNIVERSITY   (Australia)

^b CRC for the Contaminant Assessment and Remediation of the Environment (CRC CARE)   (Australia)

^c CSIRO   (Australia)

Author keywords

Coastal aquifers; Groundwater quality management; Saltwater intrusion; Simulation optimization

Indexed keywords

AQUIFERS; GENETIC ALGORITHMS; GENETIC PROGRAMMING; GROUNDWATER; GROUNDWATER FLOW; GROUNDWATER POLLUTION; GROUNDWATER RESOURCES; HYDROGEOLOGY; QUALITY MANAGEMENT; SALT WATER INTRUSION; STOCHASTIC SYSTEMS; SUPPORT VECTOR REGRESSION; UNCERTAINTY ANALYSIS; WATER MANAGEMENT; WATER QUALITY;

COASTAL AQUIFERS; COMBINED SIMULATION; COMPUTATIONAL BURDEN; GROUNDWATER MANAGEMENT; PARAMETER UNCERTAINTY; ROBUST OPTIMAL SOLUTIONS; SIMULATION OPTIMIZATION; UNCERTAIN PARAMETERS;

RECHARGING (UNDERGROUND WATERS);

ARTIFICIAL NEURAL NETWORK; COASTAL AQUIFER; COMPUTER SIMULATION; GROUNDWATER; GROUNDWATER RESOURCE; HYDRAULIC CONDUCTIVITY; NUMERICAL MODEL; OPTIMIZATION; PARAMETERIZATION; SALINE INTRUSION; STOCHASTICITY; WATER MANAGEMENT;

EID: 84899948945     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11269-014-0591-5     Document Type: Article

References (34)

1. Aly AH, Peralta RC (1999) Optimal design of aquifer cleanup systems under uncertainty using a neural network and a genetic algorithm. Water Resour Res 35(8): 2523-2532.
2. Ayvaz MT, Karahan H (2008) A simulation/optimization model for the identification of unknown groundwater well locations and pumping rates. J Hydrol 357(1-2): 76-92.
3. Azamathulla HM, Ghani AA (2011) Genetic programming for predicting longitudinal dispersion coefficients in streams. Water Resour Manag 25(6): 1537-1544.
4. Bayer P, Bürger CM, Finkel M (2008) Computationally efficient stochastic optimization using multiple realizations. Adv Water Resour 31(2): 399-417.
5. Bhattacharjya R, Datta B (2005) Optimal management of coastal aquifers using linked simulation optimization approach. Water Resour Manag 19(3): 295-320.
6. Chan N (1993) Robustness of the multiple realization method for stochastic hydraulic aquifer management. Water Resour Res 299: 3159-3167.
7. Cheng AHD, Halhal D, Naji A, Ouazar D (2000) Pumping optimization in saltwater-intruded coastal aquifers. Water Resour Res 36(8): 2155-2165.
8. Citakoglu H, Cobaner M, Haktanir T, Kisi O (2014) Estimation of monthly mean reference evapotranspiration in Turkey. Water Resour Manag 28(1): 99-113.
9. Das A, Datta B (1999a) Development of management models for sustainable use of coastal aquifers. J Irrig Drain Eng-Asce 125(3): 112-121.
10. Das A, Datta B (1999b) Development of multiobjective management models for coastal aquifers. J Water Resour Plan Manag-Asce 125(2): 76-87.
11. Datta B, Vennalakanti H, Dhar A (2009) Modeling and control of saltwater intrusion in a coastal aquifer of Andhra Pradesh, India. J Hydro Environ Res 3(3): 148-159.
12. Deb K (2001) Multi-objective optimization using evolutionary algorithms. Wiley, Hoboken.
13. Dhar A, Datta B (2009) Saltwater intrusion management of coastal aquifers. I: linked simulation-optimization. J Hydrol Eng 14(12): 1263-1272.
14. Fallah-Mehdipour E, Haddad OB, Mariño MA (2012) Real-time operation of reservoir system by genetic programming. Water Resour Manag 26(14): 4091-4103.
15. Feyen L, Gorelick SM (2004) Reliable groundwater management in hydroecologically sensitive areas. Water Resour Res 40(7).
16. Feyen L, Gorelick SM (2005) Framework to evaluate the worth of hydraulic conductivity data for optimal groundwater resources management in ecologically sensitive areas. Water Resour Res 41(3).
17. Katsifarakis KL, Petala Z (2006) Combining genetic algorithms and boundary elements to optimize coastal aquifers' management. J Hydrol 327(1-2): 200-207.
18. Kourakos G, Mantoglou A (2009) Pumping optimization of coastal aquifers based on evolutionary algorithms and surrogate modular neural network models. Adv Water Resour 32(4): 507-521.
19. Koza JR (1994) Genetic programming as a means for programming computers by natural-selection. Stat Comput 4(2): 87-112.
20. Mantoglou A (2003) Pumping management of coastal aquifers using analytical models of saltwater intrusion. Water Resour Res 39(12). doi: 10. 1029/2002WR001891.
21. Mantoglou A, Papantoniou M, Giannoulopoulos P (2004) Management of coastal aquifers based on nonlinear optimization and evolutionary algorithms. J Hydrol 297(1-4): 209-228.
22. McMahon GA, Arunakumaren NJ, Bajracharya K (2000) Hydrogeological conceptualization of the Burdekin River Delta. In: Hydro 2000 - Proceedings f the 3rd international Hydrology and Water Resources Symposium of the Institution of Engineers, Perth, Western Australia, Australia.
23. Morgan DR, Eheart JW, Valocchi AJ (1993) Aquifer remediation design under uncertainty using a new chance constrained programming technique. Water Resour Res 29(3): 551-561.
24. Narayan K, Schleeberger C, Bristow KL (2007) Modeling seawater intrusion in the Burdekin Delta Irrigation Area, North Queensland, Australia. J Agric Water Manag 89: 217-228.
25. Parasuraman K, Elshorbagy A (2008) Toward improving the reliability of hydrologic prediction: model structure uncertainty and its quantification using ensemble-based genetic programming framework. Water Resour Res 44(12). doi: 10. 1029/2007WR006451.
26. Park CH, Aral MM (2004) Multi-objective optimization of pumping rates and well placement in coastal aquifers. J Hydrol 290(1-2): 80-99.
27. Ranjithan S, Eheart JW, Garrett JH (1993) Neural network based screening for groundwater reclamation under uncertainty. Water Resour Res 29(3): 563-574.
28. Sedki A, Ouazar D (2011) Simulation-optimization modeling for sustainable groundwater development: a Moroccan coastal aquifer case study. Water Resour Manag 25(11): 2855-2875.
29. Sreekanth J, Datta B (2010) Multi-objective management of saltwater intrusion in coastal aquifers using genetic programming and modular neural network based surrogate models. J Hydrol. doi: 10. 1016/j. jhydrol. 2010. 08. 023.
30. Sreekanth J, Datta B (2011a) Coupled simulation-optimization model for coastal aquifer management using genetic programming based ensemble surrogate models and multiple-realization optimization. Water Resour Res 47, W04516. doi: 10. 1029/2010WR009683.
31. Sreekanth J, Datta B (2011b) Comparative evaluation of genetic programming and neural network as potential surrogate models for coastal aquifer management. Water Resour Manag 25(13): 3201-3218.
32. Wagner BJ, Gorelick SM (1987) Optimal groundwater quality management under parameter uncertainty. Water Resour Res 23(7): 1162-1174.
33. Wagner BJ, Gorelick SM (1989) Reliable aquifer remediation in the presence of spatially variable hydraulic conductivity: from data to design. Water Resour Res 25(10): 2211-2225.
34. Yan SQ, Minsker B (2006) Optimal groundwater remediation design using an Adaptive Neural Network Genetic Algorithm. Water Resour Res 42(5): W05407.