Top

Water Resources Management

Published in:

01-11-2011

Aquifers Management through Evolutionary Bayesian Networks: The Altiplano Case Study (SE Spain)

Authors: Jose-Luis Molina, Raziyeh Farmani, John Bromley

Published in: Water Resources Management | Issue 14/2011

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

An approach for the integration of Object-Oriented Bayesian Networks (OOBNs) and Evolutionary Multiobjective Optimization (EMO) is proposed for integrated water resource management and decision support. Bayesian Networks (BNs) offer a novel and powerful tool for modelling complex water systems, facilitating the use of hierarchical modelling by improving the efficiency and communication between the different parts of a model. EMO offers a range of non-dominated optimal management solutions on a Pareto front that facilitate the identification of tradeoffs among conflicting criteria regarding stakeholder’s preferences. The integrated tool provides new possibilities for undertaking an integrated analysis where stakeholder participation can play an important role. It is used for simultaneously analysing the whole water system, characterising uncertainty as probabilities and evaluating different management options. The tool is applied to an overexploited water system located in Southern Spain that is supplied totally by groundwater. In this study, a complex model based on BNs is designed and used as the core of the study. The transition to Evolutionary Bayesian networks (EOBNs) allows stakeholder involvement to be utilized more effectively for designing and evaluating the model’s consistency, and taking into account their conflicting interests.

previous article Optimal Reservoir Release Policy Considering Heterogeneity of Command Area by Elitist Genetic Algorithm

next article Impacts of Combined Technical and Economic Measures on Water Saving in Agriculture under Water Availability Uncertainty

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Abd-Elhamid HF, Javadi AA (2011) A cost-effective method to control seawater intrusion in coastal aquifers. Water Resour Manag. doi:10.1007/s11269-011-9837-7

Bromley J, Jackson N, Clymer O, Giacomello A, Jensen F (2005) The use of Hugin to develop Bayesian Network as an aid to integrated water resource planning. Environ Model Software 20:231–242CrossRef

Cain J (2001) Planning improvements in natural resources management. Centre for Ecology and Hydrology, Wallingford

Carmona G, Varela C, Bromley J (2011) The use of participatory object-oriented Bayesian networks and agro-economic models for groundwater management in Spain. Water Resour Manage 25:1509–1524

Castelletti A, Soncini-Sessa R (2007) Bayesian Networks and participatory modelling in water resource management. Environ Model Software 22:1075–1088CrossRef

Cheng J, Greiner R, Kelly J, Bell D, Liu W (2002) Learning Bayesian networks from data: an information-theory based approach. Artif Intell 137:43–90CrossRef

Cisty M (2010) Hybrid genetic algorithm and linear programming method for least-cost design of water distribution systems. Water Resour Manage 24:1–24CrossRef

Cooper G, Herskovits E (1992) A Bayesian method for the induction of probabilistic networks from data. Mach Learn 9(4):309–347

Deb K, Agrawal S, Pratap A, Meyarivan T (2000) A fast and elitist multi-objective genetic algorithm: NSGA-II. Technical Report 200001, Indian Institute of Technology, Kanpur: Kanpur Genetic Algorithms Laboratory KanGAL

Directive 2000/60/EC of the European Parliament and of the Council, establishing a framework for Community action in the field of water policy. Official Journal 327, 2000. European Commission, Brussels

Dlamini WM (2010) A Bayesian belief network analysis of factors influencing wildfire occurrence in Swaziland. Environ Model Software 25:199–208CrossRef

Dumedah G, Berg AA, Wineberg M, Collier R (2010) Selecting model parameter sets from a trade-off surface generated from the non-dominated sorting genetic algorithm-II. Water Resour Manag 24:4469–4489CrossRef

Farmani R, Savic D, Walters GA (2005a) Evolutionary multi-objective optimisation in water distribution network design. J Eng Optim 37(2):167–183CrossRef

Farmani R, Walters GA, Savic D (2005b) Trade-off between total cost and reliability for Anytown water distribution network. J Water Resour Plann Manag 131(3):161–171CrossRef

Farmani R, Walters GA, Savic D (2006) Evolutionary multi-objective optimization of the design and operation of water distribution network: total cost vs. reliability vs. water quality. Journal of Hydroinformatics 8(3):165–179

Farmani R, Abadia R, Savic D (2007) Optimum design and management of pressurised branched irrigation networks. J Irrigat Drain 133(6):538–547CrossRef

Farmani R, Henriksen HJ, Savic D (2009) An evolutionary Bayesian belief network methodology for optimum management of groundwater contamination. Environ Model Software 24:303–310CrossRef

GANetXL (2007) http://www.projects.ex.ac.uk/cws/ganetxl, last visited May 2007.

Giupponi C, Jakeman AJ, Karssenberg G, Hare MP (eds) (2006) Sustainable management of water resources: an integrated approach. Elgar, Cheltenham, p 361

Gorev NB, Kodzhespirova IF, Kovalenko Y, Álvarez R, Prokhorov E, Ramos A (2011) Evolutionary testing of hydraulic simulator functionality. Water Resour Manage 25:1935–1947CrossRef

Haghighi A, Samani HMV, Samani ZMV (2011) GA-ILP method for optimization of water distribution networks. Water Resour Manage 25:1791–1808CrossRef

Hanne T, Nickel S (2005) A multiobjective evolutionary algorithm for scheduling and inspection planning in software development projects. Eur J Oper Res 167(3):663–678CrossRef

Hassanzadeh Y, Abdi A, Talatahari S, Singh VP (2011) Meta-heuristic algorithms for hydrologic frequency analysis. Water Resour Manage 25:1855–1879CrossRef

Hınçal O, Altan-Sakarya AB, Ger AM (2011) Optimization of multireservoir systems by genetic algorithm. Water Resour Manage 25:1465–1487CrossRef

HUGIN (2007) Hugin Researcher v6.8. Hugin Expert, Aalborg

Jensen FV (1996) An introduction to Bayesian networks. UCL, London

Jensen FV (2001) Bayesian network and decision graphs. Department of Computer Science, Aalborg University, Aalborg

Koller D, Pfeffer A (1997) Object-oriented Bayesian networks. In: Proceedings of the Thirteenth Annual Conference on Uncertainty in Artificial Intelligence UAI-97, Providence, Rhode Island

Kourakos G, Mantoglou A (2011) Simulation and multi-objective management of coastal aquifers in semi-arid regions. Water Resour Manage 25:1063–1074CrossRef

Letcher RA, Giupponi C (2005) Policies and tools for sustainable water management in the European Union. Environ Model Software 20:93–98CrossRef

Louati MH, Benabdallah S, Lebdi F, Milutin D (2011) Application of a genetic algorithm for the optimization of a complex reservoir system in Tunisia. Water Resour Manage. doi:10.1007/s11269-011-9814-1

Makropoulos CK, Natsis K, Liu S, Mittas K, Butler D (2008) Decision support for sustainable option selection in integrated urban water management. Environ Model Software 23:1448–1460CrossRef

Malekmohammadi B, Kerachian R, Zahraie B (2009) Developing monthly operating rules for a cascade system of reservoirs: application of Bayesian Networks. Environ Model Software 24:1420–1432CrossRef

Marttunen M, Suomalainen M (2005) Participatory and multi objective development of water course regulation creation of regulation alternatives from stakeholders’ preferences. J MultiCri Dec Anal 13(1):29–49CrossRef

Molina JL, García-Aróstegui JL, Aragón Rueda R, Rodríguez Hernández L, Hornero Díaz J (2008) Explotación de reservas de agua en el sureste español: acuífero Serral-Salinas (Murcia-Alicante). Actas del IX Simposio de Hidrogeología, Elche (2008)

Molina JL, García-Aróstegui JL, Benavente J, Varela C, De la Hera A, López-Geta JA (2009) Aquifers overexploitation in SE Spain: a proposal for the integrated analysis of water management. Water Resour Manag 23:2737–2760CrossRef

Molina JL, Bromley J, García-Aróstegui JL, Sullivan C, Benavente J (2010) Integrated water resources management of overexploited hydrogeological systems using Object-Oriented Bayesian Networks. Environ Model Software 25:383–397CrossRef

Molina JL, Arostegui JL, Bromley J, Benavente J (2011) Integrated assessment of the European WFD implementation in extremely overexploited aquifers through participatory modelling. Water Resour Manage, in press. doi: 10.1007/s11269-011-9859-1

Molina-Cristobal A, Griffin IA, Fleming PJ, Owens DH (2005) Multiobjective Controller Design: Optimising Controller Structure with Genetic Algorithms. In Proceedings of the 2005 IFAC World Congress on Automatic Control, Prague, Czech Republic

Murugan P, Kannana S, Baskarb S (2009) NSGA-II algorithm for multi-objective generation expansion planning problem. Elec Power Syst Res 79:622–628CrossRef

Nazif S, Karamouz M, Tabesh M, Moridi A (2010) Pressure management model for urban water distribution networks. Water Resour Manage 24:437–458CrossRef

Newton AC (2010) Use of a Bayesian network for red listing under uncertainty. Environ Model Software 25:15–23, Adrian C. NewtonCrossRef

Ordóñez Galán C, Matías JM, Rivas T, Bastante FG (2009) Reforestation planning using Bayesian Networks. Environ Model Software 24(11):1285–1292CrossRef

Osman MS, Abo-Sinna MA, Mousa AA (2005) An effective genetic algorithm approach Multiobjective Resource Allocation Problems (MORAPs). Appl Math Comput 163(2):755–768CrossRef

Raquel CR, Naval JR (2005) An Effective Use of Crowding Distance in Multiobjective Particle Swarm Optimization Genetic and Evolutionary Computation Conference archive. Proceedings of the 2005 conference on Genetic and evolutionary computation, Washington DC, USA, 257–264.

Safavi HR, Darzi F, Mariño MA (2010) Simulation-optimization modelling of conjunctive use of surface water and groundwater. Water Resour Manage 24:1965–1988CrossRef

Samper J, Huguet LL, Ares J (1999) Visual Balan Tutorial V 20 Interactive code to making hydrological balances recharge estimation. ENRESA, Madrid

Savic DA, Bicik J, Morley MS (2011) A DSS generator for multiobjective optimisation of spreadsheet-based models. Environ Modell Softw 26:551–561CrossRef

Sedki A, Ouazar D (2011) Simulation-optimization modeling for sustainable groundwater development: a moroccan coastal aquifer case study. Water Resour Manage. doi:10.1007/s11269-011-9843-9

Ticehurst JL, Letcher RA, Rissik D (2008) Integration modelling and decision support: a case study of the Coastal Lake Assessment and Management (CLAM) Tool. Math Comput Simulat 78:435–449CrossRef

Weidl G, Madsen AL, Israelson S (2005) Applications of object-oriented Bayesian networks for condition monitoring, root cause analysis and decision support on operation of complex continuous processes. Comput Chem Eng 29:1996–2009CrossRef

Wong ML (2010) Marketing Intelligence Systems. Casillas J,Martínez-López FJ (Eds.): STUDFUZZ 258, pp 273–294. springerlink.com

Wong ML, Leung KS (2004) An efficient data mining method for learning Bayesian networks using an evolutionary algorithm-based hybrid approach. IEEE Trans Evol Comput 8(4):378–404CrossRef

World Commission on Environment and Development (1987) Our common future. Oxford University Press, Oxford

Title: Aquifers Management through Evolutionary Bayesian Networks: The Altiplano Case Study (SE Spain)
Authors: Jose-Luis Molina
Raziyeh Farmani
John Bromley
Publication date: 01-11-2011
Publisher: Springer Netherlands
Published in: Water Resources Management / Issue 14/2011
Print ISSN: 0920-4741
Electronic ISSN: 1573-1650
DOI: https://doi.org/10.1007/s11269-011-9893-z

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Technik"

Springer Professional "Wirtschaft+Technik"

Other articles of this Issue 14/2011

Climate Change Risk Management in Transnational River Basins: The Rhine

Multi-criteria Decision Analysis: A Strategic Planning Tool for Water Loss Management

Analyzing Water Poverty in Basins

Regional Scale Erosion Assessment of a Sub-tropical Highland Segment in the Western Ghats of Kerala, South India

Diffuse Surface Water Pollution: Driving Factors for Different Geoclimatic Regions

A Procedure for Evaluating the Compatibility of Surface Water Resources with Environmental and Human Requirements