Differential-Evolution algorithm based optimization for the site selection of groundwater production wells with the consideration of the vulnerability concept

Journal of Hydrology

Volumn 511, Issue , 2014, Pages 736-749

  Elçi, Alper ^a   Ayvaz, M Tamer ^b  

^a DOKUZ EYLUL UNIVERSITY   (Turkey)

^b PAMUKKALE UNIVERSITY   (Turkey)

Author keywords

Cost minimization; Groundwater vulnerability; Izmir; MODFLOW; Optimization; Pumping maximization

Indexed keywords

BROYDEN-FLETCHER-GOLDFARB-SHANNO; COST MINIMIZATION; DIFFERENTIAL EVOLUTION ALGORITHMS; GROUNDWATER CONTAMINATION; GROUNDWATER VULNERABILITY; IZMIR; MODFLOW; SIMULATION-OPTIMIZATION MODELS;

COMPUTER SIMULATION; COSTS; EVOLUTIONARY ALGORITHMS; GROUNDWATER FLOW; MATHEMATICAL MODELS; OPTIMIZATION; PUMPS; SALT WATER INTRUSION; SITE SELECTION;

GROUNDWATER;

COST-BENEFIT ANALYSIS; FLOW MODELING; GENETIC ALGORITHM; GROUNDWATER FLOW; GROUNDWATER POLLUTION; INSTALLATION; LAND USE CHANGE; OPTIMIZATION; PUMPING; SALINE INTRUSION; SENSITIVITY ANALYSIS; SITE SELECTION; VULNERABILITY; WATER TABLE; WATERSHED; WELL WATER;

IZMIR [TURKEY]; TAHTALI BASIN; TURKEY;

EID: 84896857015     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2014.01.071     Document Type: Article

References (27)

1. Arora J.S. Introduction to Optimum Design 2004, vol. xxi. Elsevier Academic Press, San Diego, Calif, 728 pp.
2. Ayvaz M.T., Karahan H. A simulation/optimization model for the identification of unknown groundwater well locations and pumping rates. J. Hydrol. 2008, 357(1-2):76-92.
3. Ayvaz M.T. Application of harmony search algorithm to the solution of groundwater management models. Adv. Water Resour. 2009, 32(6):916-924.
4. Ayvaz M.T., Kayhan A.H., Ceylan H., Gurarslan G. Hybridizing the harmony search algorithm with a spreadsheet 'Solver' for solving continuous engineering optimization problems. Eng. optim. 2009, 41(12):1119-1144.
5. Ayvaz M.T., Elçi A. A groundwater management tool for solving the pumping cost minimization problem for the Tahtali watershed (Izmir-Turkey) using hybrid HS-solver optimization algorithm. J. Hydrol. 2013, 478:63-76.
6. Baalousha H. Assessment of a groundwater quality monitoring network using vulnerability mapping and geostatistics: a case study from Heretaunga Plains, New Zealand. Agr. Water Manage. 2010, 97(2):240-246.
7. Elçi A., Karadaş D., Fi{dotless}sti{dotless}koǧlu O. The combined use of MODFLOW and precipitation-runoff modeling to simulate groundwater flow in a diffuse-pollution prone watershed. Water Sci. Technol. 2010, 62(1):180-188.
8. Elçi A. Advances in GIS-based approaches to groundwater vulnerability assessment: overview and applications. Clean Soil and Safe Water. NATO Science for Peace and Security Series C: Environmental Security 2012, 97-114. Springer, Netherlands, Dordrecht. F.F. Quercia, D. Vidojevic (Eds.).
9. Exposito J.L., Esteller M.V., Paredes J., Rico C., Franco R. Groundwater protection using vulnerability maps and wellhead protection area (WHPA): a case study in Mexico. Water Resour. Manage. 2010, 24(15):4219-4236.
10. Gaur S., Chahar B.R., Graillot D. Analytic elements method and particle swarm optimization based simulation-optimization model for groundwater management. J. Hydrol. 2011, 402(3-4):217-227.
11. Gill P.E., Murray W., Wright M.H. Practical Optimization 2004, vol. xvi. Elsevier Academic Press, San Diego, Calif, 401 p.
12. Gogu R.C., Dassargues A. Current trends and future challenges in groundwater vulnerability assessment using overlay and index methods. Environ. Geol. 2000, 39(6):549-559.
13. Gurarslan, G., 2011. Determination of Groundwater Contaminant Source Locations and Release Histories by Using Differential Evolution Algorithm. PhD thesis, Department of Civil Engineering, Pamukkale University, Turkey (In Turkish).
14. Huang C., Mayer A.S. Pump-and-treat optimization using well locations and pumping rates as decision variables. Water Resour. Res. 1997, 33(5):1001-1012.
15. IZSU, 2013. Izmir Water and Wastewater Administration. < >. [Accessed 14 June 2013]. http://www.izsu.gov.tr/Pages/DamStatusAgd.aspx.
16. Kayhan A.H., Ceylan H., Ayvaz M.T., Gurarslan G. PSOLVER: a new hybrid particle swarm optimization algorithm for solving continuous optimization problems. Expert Syst. Appl. 2010, 37(10):6798-6808.
17. McKinney D.C., Lin M.-D. Genetic algorithm solution of groundwater management models. Water Resour. Res. 1994, 30(6):1897-1906.
18. Mezura-Montes, E., Velazquez-Reyes, J., Coello Coello, C.A., 2006. A comparative study of differential evolution variants for global optimization. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'06), July 8-12, 2006, Seattle, Washington, USA.
19. Park C.H., Aral M.M. Multi-objective optimization of pumping rates and well placement in coastal aquifers. J. Hydrol. 2004, 290(1-2):80-99.
20. Preziosi E., Petrangeli A.B., Giuliano G. Tailoring groundwater quality monitoring to vulnerability: a GIS procedure for network design. Environ. Mon. Assessment 2013, 185(5):3759-3781.
21. Price K.V., Storn R.M., Lampinen J.A. The Differential Evolution Algorithm, Differential Evolution: A Practical Approach to Global Optimization 2005, Natural Computing Series, Springer Berlin Heidelberg, pp. 37-134.
22. Qin A.K., Huang V.L., Suganthan P.N. Differential evolution algorithm with strategy adaptation for global numerical optimization. IEEE Trans. Evol. Comput. 2009, 13(2):398-417.
23. Saltelli A., Annoni P. How to avoid a perfunctory sensitivity analysis. Environ. Modell. Softw. 2010, 25(12):1508-1517.
24. Storn R., Price K. Differential evolution - a simple and efficient heuristic for global optimization over continuous spaces. J. Glob. Optim. 1997, 11(4):341-359.
25. Tvrdik, J., 2006. Differential evolution: competitive setting of control parameters. In: Proceedings of the International Multiconference on Computer Science and Information Technology, Wisła, Poland.
26. Willis R., Yeh W.W.G. Groundwater Systems Planning and Management 1987, vol. xiii. Prentice-Hall, Englewood Cliffs, NJ, 416 pp.
27. Wu J., Zhu X., Liu J. Using genetic algorithm based simulated annealing penalty function to solve groundwater management model. Sci. China Ser. E: Technol. Sci. 1999, 42(5):521-529.