Weitere Artikel dieser Ausgabe durch Wischen aufrufen
This paper examines the development of a multi-objective tool, called “ALL_WATER”, in optimizing Water Resources Management. The objectives of satisfying demand and reducing costs were taken into consideration while at the same time respecting water salinity requirements and hydraulic constraints. A Multi-Objective Genetic Algorithm (MOGA) and the PARETO optimality concept were used to resolve the formulated problem. The tool developed was used to help optimize the daily management schedule of a real case study in Tunisia. The hydraulic system is made up of three surface water sources, one demand site, two transfer links and three supply links. Within a short computation time, a PARETO front was identified made up of a set of 72 optimal solutions. The modeling approach and the decision-making flexibility, both shown in the case study, prove that the developed tool is able to efficiently identify a set of optimal solutions on a PARETO front. The developed tool will be able to be used for a large variety of water management problems.
Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten
Sie möchten Zugang zu diesem Inhalt erhalten? Dann informieren Sie sich jetzt über unsere Produkte:
Ayvaz TM (2009) Application of Harmony Search algorithm to the solution of groundwater management models. Adv Water Resour 32:916–924 CrossRef
Back T, Fogel DB, Michalewicz T (2000) Evolutionary Computation 1: Basic algorithms and operators. Institute of Physics Publishing, United Kingdom CrossRef
Cai X (2007) Implementation of holistic water resources-economic optimization models for river basin management e Reflective experiences. Environ Model Softw 23:2–18 CrossRef
Chang L (2008) Guiding rational reservoir flood operation using penalty-type genetic algorithm. J Hydrol 354:65–74 CrossRef
Collette Y and Siarry P (2003) Multiobjective Optimization: Principles and Case Studies. Springer.
Deb K, Agrawal S, Pratap A and Meyarivan T (2000) A Fast Non-Dominated Genetic Algorithm for Multi-Objective Optimisation : NSGA-II. KanGAL Report No. 200001, Indian Institute of Technology, Kanpur, India.
Dvarioniene J, Stasiskiene Z (2007) Integrated water resource management model for process industry in Lithuania. J Clean Prod 15:950–957 CrossRef
Esquivel S, Leiva HA and Gallard RH (1999) Multiplicity in genetic algorithms to face multicriteria optimization. Congress on Evolutionary Computation. Washington D.C., July 1999. IEEE Service Centre.
Gaivoronski AA, Sechi GM, Zuddas P (2011) Balancing cost-risk in management optimization of water resource systems under uncertainty. Physics and Chemistry. doi: 10.1016/j.pce.2011.05.015
Giupponi C (2007) Decision Support Systems for implementing the European Water Framework Directive: The MULINO approach. Environ Model Softw 22:248–258 CrossRef
Goldberg DE (1991) Genetic Algorithms. Addison-Wesley.
Hrstka O, Kucerova A (2004) Improvements of real coded genetic algorithms based on differential operators preventing premature convergence. Adv Eng Softw 35:237–246 CrossRef
Ioris AAR, Hunter C, Walker S (2008) The development and application of water management sustainability indicators in Brazil and Scotland. J Environ Manag 88:1190–1201 CrossRef
Khare D, Jat MK, Deva Sunder V (2007) Assessment of water resources allocation options: Conjunctive use planning in a link canal command. Resour Conserv Recycl 51:487–506 CrossRef
Knowles J and Corne D (1999) The Pareto Archived Evolution Strategy: A New Baseline Algorithm for Pareto Multiobjective Optimisation. Proceedings of the 1999 Congress on Evolutionary Computation (CEC'99), 1, 98–105.
Koutsoyiannis D, Karavokiros G, Efstratiadis A. Mamassis N, Koukouvinos A and Christofides A (2003) A decision support system for the management of the water resource system of Athens, Physics and Chemistry of the Earth, Parts A/B/C, 28, 599–609
Leiva HA, Esquivel SC and Gallard RH (2000) Miltiplicity and Local Search in Evolutionary Algorithms to Build the Pareto Front. Proceedings of the XX international conf. of the Chilean Computer Science Society (SCCC’00). 0-7695-0810-1/00. IEEE Service Centre.
Letcher RA, Croke BFW, Jakeman AJ (2007) Integrated assessment modelling for water resource allocation and management: A generalized conceptual framework. Environ Model Softw 22:733–742 CrossRef
Li YP, Huang GH, Nie SL, Liu L (2007) Inexact multistage stochastic integer programming for water resources management under uncertainty. J Environ Manag 88:93–107 CrossRef
Lis J and Eiben A E (1997) Multi-sexual genetic algorithm for multiobjective optimization. 4th International conf. On evolutionary computation (ICEC’97). Indiapolis, USA, 59–64.
Liu S, Gikas P, Papageorgiou LG (2010) An Optimisation-based Approach for Integrated Water Resources Management. Computer & Chemical Engineering 28:1075–1080
Liu S, Konstantopoulou F, Gikas P, Papageorgiou LG (2011) A mixed integer optimisation approach for integrated water resources management. Comput Chem Eng 35:858–875 CrossRef
Moradi-Jalal M, Haddad OB, Karney BW, Marin MA (2007) Reservoir operation in assigning optimal multi-crop irrigation areas. Agric Water Manag 90:149–159 CrossRef
Mysiak J, Giupponi C, Rosato P (2005) Towards the development of a decision support system for water resource management. Environ Model Softw 20:203–214 CrossRef
Prato T, Herath G (2007) Multiple-criteria decision analysis for integrated catchment management. ECOLOGICAL ECONOMICS 63:627–632 CrossRef
Rees HG, Holmes MGR, Fry MJ, Young AR, Pitson DG, Kansakar SR (2006) An integrated water resource management tool for the Himalayan region. Environ Model Softw 21:1001–1012 CrossRef
Ren JL, Lyu PH, Wu XM, Ma FC, Wang ZZ, Yang G (2013) An Informetric Profile of Water Resources Management Literatures. Water Resour Manage 27:4679–4696 CrossRef
Sechi GM, Sulis A (2007) Multi-Reservoir System Optimization using Chlorophyll-a Trophic Indexes. Water Resour Manag 21:849–860 CrossRef
Sedki A, Ouazar D (2011) Simulation-Optimization Modeling for Sustainable Groundwater Development: A Moroccan Coastal Aquifer Case Study. Water Resour Manag 25:2855–2875 CrossRef
Van Cauwenbergh N, Pinte D, Tilmant A, Frances I, Pulido-Bosch A et al (2008) Multi-objective, multiple participant decision support for water management in the Andarax catchment, Almeria. Environ Geol 54:479–489 CrossRef
Yazdi J, Salehi Neyshabouri SAA (2012) A Simulation-Based Optimization Model for Flood Management on a Watershed Scale. Water Resour Manage 26:4569–4586 CrossRef
Zhang C, Wang G, Peng Y (2012) Tang G and Liang G (2012) A Negotiation-Based Multi-Objective, Multi-Party Decision-Making Model for Inter-Basin Water Transfer Scheme Optimization. Water Resour Manage 26:4029–4038 CrossRef
Zitzler E, Thiele L (1998) Multiobjective optimization using evolutionary algorithms – A comparative case study. Proceeding of Parallel Problem Solving Nature V Amsterdam 292–301
- Multi-Objective tool to optimize the Water Resources Management using Genetic Algorithm and the Pareto Optimality Concept
- Springer Netherlands
Fallstudie Überschwemmungskarten/© Thaut Images | Fotolia