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Water Resources Management

Erschienen in:

01.05.2013

Groundwater Model Calibration by Meta-Heuristic Algorithms

verfasst von: O. Bozorg Haddad, M. Mohammad Rezapour Tabari, E. Fallah-Mehdipour, M. A. Mariño

Erschienen in: Water Resources Management | Ausgabe 7/2013

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Abstract

Groundwater models are computer models that simulate or predict aquifer conditions by using input data sets and hydraulic parameters. Commonly, hydraulic parameters are extracted by calibration, using observed and simulated aquifer conditions. The accuracy of calibration affects other modeling processes, especially the hydraulic head simulation. Meta-heuristic algorithms are good candidates to determine optimal/near-optimal parameters in groundwater models. In this paper, two meta-heuristic algorithms: (1) particle swarm optimization (PSO) and (2) pattern search (PS) are applied and compared in the Ghaen aquifer, by considering the sum of the squared deviation (SSD) between observed and simulated hydraulic heads and the sum of the absolute value of deviation (SAD) between observed and simulated hydraulic heads as the objective functions. Results show that obtained values of the objective function are enhanced significantly by using the PS algorithm. Accordingly, PS improves (decreases) the SSD and SAD by 0.20 and 2.36 percent, respectively, compared to results reported by using the PSO algorithm. Results also indicate that the proposed PS optimization tool is effective in the calibration of aquifer parameters.

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Afshar A, Kazemi H, Saadatpour M (2011a) Particle swarm optimization for automatic calibration of large scale Water quality model (CE-QUAL-W2): application to Karkheh reservoir, Iran. Water Resour Manag 25(10):2613–2632CrossRef

Afshar A, Shafii M, Bozorg Haddad O (2011b) Optimizing multi-reservoir operation rules: an improved HBMO approach. J Hydroinf 13(1):121–139CrossRef

Bekele EG, Nicklow JW (2007) Multi-objective automatic calibration of SWAT using NSGA-II. J Hydrol 341(3–4):165–176CrossRef

Bozorg Haddad O, Mariño MA (2011) Optimum operation of wells in coastal aquifers. Proc Inst Civ Eng Water Manag 164(3):135–146CrossRef

Bozorg Haddad O, Afshar A, Mariño MA (2008) Design-operation of multi-hydropower reservoirs: HBMO approach. Water Resour Manag 22(12):1709–1722CrossRef

Bozorg Haddad O, Afshar A, Mariño MA (2009) Optimization of non-convex water resource problems by honey-bee mating optimization (HBMO) algorithm. Eng Comput (Swansea, Wales) 26(3):267–280CrossRef

Bozorg Haddad O, Mirmomeni M, Mariño MA (2010) Optimal design of stepped spillways using the HBMO algorithm. Civ Eng Environ Syst 27(1):81–94CrossRef

Bozorg Haddad O, Afshar A, Mariño MA (2011a) Multireservoir optimisation in discrete and continuous domains. Proc Inst Civ Eng Water Manag 164(2):57–72CrossRef

Bozorg Haddad O, Moradi-Jalal M, Mariño MA (2011b) Design-operation optimisation of run-of-river power plants. Proc Inst Civ Eng Water Manag 164(9):463–475

Chuanwen J, Bompard E (2005) A self-adaptive chaotic particle swarm algorithm for short term hydroelectric system scheduling in deregulated environment. Energy Convers Manag 46(17):2689–2696CrossRef

Dakhlaoui H, Bargaoui Z, Bardossy A (2012) Toward a more efficient calibration schema for HBV rainfall–runoff model. J Hydrol 445–446(11):161–179CrossRef

Fallah-Mehdipour E, Haddad B, Mariño MA (2011) MOPSO algorithm and its application in multipurpose multireservoir operation. J Hydroinf 13(4):794–811CrossRef

Fallah-Mehdipour E, Haddad B, Mariño MA (2012) Developing reservoir operational decision rule by genetic programming. J Hydroinf. doi:10.2166/hydro.2012.140

Fallah-Mehdipour E, Bozorg Haddad O, Mariño MA (2013) Extraction of multi-crop planning rules in a reservoir system: application of evolutionary algorithms. J Irrig Drain Eng (ASCE). doi:10.1061/(ASCE)IR.1943-4774.0000572

Gaur S, Sudheer Ch, Graillot D, Chahar BR, Kumar DN (2012) Application of artificial neural networks and particle swarm optimization for the management of groundwater resources. Water Resour Manag, (in press)

Ghajarnia N, Bozorg Haddad O, Mariño MA (2011) Performance of a novel hybrid algorithm in the design of water networks. Proc Inst Civ Eng Water Manag 164(4):173–191CrossRef

Hooke R, Jeeves TA (1961) Direct search solution of numerical and statistical problems. J Assoc Comput Mach 8(2):212–229CrossRef

Izquierdo J, Montalvo I, Perez R, Fuertes V (2008) Design optimization of wastewater collection network by PSO. Comput Math Appl 56(3):777–784CrossRef

Karahan H, Ayvaz MT (2005) Transient groundwater modeling using spreadsheets. Adv Eng Softw 36(6):374–384CrossRef

Karimi-Hosseini A, Bozorg Haddad O, Mariño MA (2011) Site selection of raingauges using entropy methodologies. Proc Inst Civ Eng Water Manag 164(7):321–333CrossRef

Kennedy J, Eberhart R (1995) Particle swarm optimization. In: Proceeding of International Conference on Neural Networks, Perth, Australia. IEEE Service Center, Piscataway, NJ, pp 1942–1948

Khu S-T, Madsen H, Pierro FD (2008) Incorporating multiple observations for distributed hydrologic model calibration: an approach using a multi-objective evolutionary algorithm and clustering. Adv Water Resour 13(10):1387–1398CrossRef

Kumar N, Reddy MJ (2012) Multipurpose reservoir operation using particle swarm optimization. J Water Resour Plan Manag (ASCE) 133(3):192–201CrossRef

Lewis RM, Torczo V (2000) Pattern search methods for linearly constrained minimization. SIAM J Optim 10(3):917–941CrossRef

Matott LS, Rabideau AJ, Craig JR (2006) Pump-and treat optimization using analytic element method flow models. Adv Water Resour 29(5):760–775CrossRef

Neelakantan TR, Pundarikanthan NV (1999) Hedging rule optimisation for water supply reservoirs system. Water Resour Manag 13(6):409–426CrossRef

Noory H, Liaghat AM, Parsinejad M, Bozorg Haddad O (2012) Optimizing irrigation water allocation and multicrop planning using discrete PSO algorithm. J Irrig Drain Eng 138(5):437–444CrossRef

Orouji H, Bozorg Haddad O, Fallah-Mehdipour E, Mariño MA (2013) Estimation of Muskingum parameter by meta-heuristic algorithms. Proc Inst Civ Eng Water Manag 166(1):1–10. doi:10.1680/wama.11.00068

Ostadrahimi L, Mariño MA, Afshar A (2012) Multi-reservoir operation rules: multi-swarm PSO-based optimization approach. Water Resour Manag 26(2):407–427CrossRef

Rasoulzadeh-Gharibdousti S, Bozorg Haddad O, Mariño MA (2011) Optimal design and operation of pumping stations using NLP-GA. Proc Inst Civ Eng Water Manag 164(4):163–171CrossRef

Saadatpour M, Afshar A (2013) Multi objective simulation-optimization approach in pollution spill response management model in reservoirs. Water Resour Manag. doi:10.1007/s11269-012-0230-y

Samuel MP, Jha MK (2003) Estimation of aquifer parameters from pumping test data by genetic algorithm optimization technique. J Irrig Drain Eng (ASCE) 5(1):348–359CrossRef

Schoups G, Addams CL, Gorelick SM (2005) Multi-objective calibration of a surface water-groundwater flow model in an irrigated agricultural region: Yaqui Valley, Sonora, Mexico. Hydrol Earth Syst Sci 9(5):549–568CrossRef

Sun AY, Green R, Swenson S, Rodell M (2012) Toward calibration of regional groundwater models using GRACE data. J Hydrol 422–423(23):1–9CrossRef

Suribabu CR, Neelakantan TR (2006) Design of water distribution networks using particle swarm optimization. Urban Water J 3(2):111–120CrossRef

Todd DK, Mays LW (2005) Groundwater hydrology. Wiley, New York, pp 415–418

Tung YK (1984) River flood routing by nonlinear Muskingum method. J Hydraul Eng ASCE 111(12):1447–1460CrossRef

Titel: Groundwater Model Calibration by Meta-Heuristic Algorithms
verfasst von: O. Bozorg Haddad
M. Mohammad Rezapour Tabari
E. Fallah-Mehdipour
M. A. Mariño
Publikationsdatum: 01.05.2013
Verlag: Springer Netherlands
Erschienen in: Water Resources Management / Ausgabe 7/2013
Print ISSN: 0920-4741
Elektronische ISSN: 1573-1650
DOI: https://doi.org/10.1007/s11269-013-0300-9

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