Optimization Model for Water Distribution Network Planning in a Realistic Orographic Framework
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Defining criteria for correct distribution of water resource is a common engineering problem. Stringent regulations on environmental impacts underline the need for sustainable management and planning of this resource usage, which is sensitive to many parameters. Optimization models are often used to deal with these problems, identifying the optimal configuration of a Water Distribution Network (WDN) in terms of minimizing an appropriate function propotional to he construction cost of the WDN. Generally, this cost function increases as the distance between the source-user connection increases, therefore in minimum cost optimization models is important to identify minimum source-user paths compatible with the orography. In this direction, the methodology presented in the present work proposes a useful approach to find minimum-length paths on surfaces, which moreover respect suitable hydraulic constraints and are therefore representative of reliable gravity water pipelines. The application of the approach is presented in a real case in Calabria.
KeywordsOptimization model Water planning model Graph theory
Research supported by the Italian Regional Project (POR CALABRIA FESR 2014-2020): origAMI original Advanced Metering Infrastructure [J48C17000170006].
- 4.Davijani, M.H., Banihabib, M.E., Anvar, A.N., Hashemi, S.R.: Multi-objective optimization model for the allocation of water resources in arid regions based on the maximization of socioeconomic efficiency. Water Resour. Manag. 30(3), 927–946 (2016). https://doi.org/10.1007/s11269-015-1200-yCrossRefGoogle Scholar
- 6.Hsu, N.S., Cheng, K.W.: Network flow optimization model for basin-scale water supply planning. J. Water Resour. Plan. Manag. 128(2), 102–112 (2002). https://doi.org/10.1061/(ASCE)0733-9496(2002)128:2(102)CrossRefGoogle Scholar
- 7.Kanai, T., Suzuki, H.: Approximate shortest path on a polyhedral surface based on selective refinement of the discrete graph and its applications. In: Proceedings Geometric Modeling and Processing 2000. Theory and Applications, pp. 241–250. IEEE (2000). https://doi.org/10.1109/GMAP.2000.838256
- 9.Porazilova, A.: The Geodesic Shortest Path (2007)Google Scholar
- 11.Zhanping W., Juncang T.: Optimal allocation of regional water resources based on genetic algorithms. J. Converg. Inf. Technol. (JCIT) 7(13) (2012). https://doi.org/10.4156/jcit.vol7.issue13.51