Theoretical Considerations of Joint Optimal Model for Water Allocation and Pipe Placement

Abstract:

Water shortage emerges and restricts the urban construction and the social-development due to the rapid expansion of the cities. Recent research mainly focuses on the water resources management or water distribution network management separately. In this paper, a joint optimal model for water allocation and water distribution network management is developed. In the first phase, a multi-objectives linear programming is used for the optimal allocation on multi-water resources for multi-users, in which cost and water conservation are regards as objectives. In the second phase, a non-linear model is proposed, which is solved by single-objective GA linking to EPANET hydraulic solver. The result of the first phase is a parameter of the objective in the second phase.

• Periodical: Applied Mechanics and Materials (Volumes 316-317)
• Pages: 715-718
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.316-317.715
• Online since: April 2013
• Authors: Lu Bai, Shu Ming Liu, Huan Huan Wang
• Keywords: EPANET, Genetic Algorithm (GA), Multi-Objective Linear Programming, Water Allocation

References

[1] Bryan, B. A. and N. D. Crossman (2008). Systematic regional planning for multiple objective natural resource management., Journal of Environmental Management 88(4): 1175-1189.

DOI: 10.1016/j.jenvman.2007.06.003

[2] Mendoza, G. A., and Martins H. (2006). Multi-criteria decision analysis in natural resource management: A critical review of methods and new modelling paradigms., Forest Ecology and Management 230(1-3): 1-22.

DOI: 10.1016/j.foreco.2006.03.023

[3] Sethi, L. N., Kumar, D. N., Panda, S. N., Mal, B. C. (2002). optimal crop planning and conjunctive use of water resources in a coastal river basin. , Water Resources Management 16(2): 145-169.

DOI: 10.1023/a:1016137726131

[4] Li, Y. P., G. H. Huang, S.L. Nie, (2006). An interval-parameter multi-stage stochastic programming model for water resources management under uncertainty. , Advances in Water Resources 29(5): pp.776-789.

DOI: 10.1016/j.advwatres.2005.07.008

[5] Zhou Feng. (2008). Improved interval linear programming and application in the basin management., Journal of environmental science (8): pp.1688-1698.

[6] Chang, N. B., Wen C. G., Chen, Y. L., (1997). A fuzzy multi-objective programming approach for optimal management of the reservoir watershed., European Journal of Operational Research 99(2): 289-302.

DOI: 10.1016/s0377-2217(96)00019-7

[7] Van Delft, A., and Nijkamp, P. (1976). A multi-objective decision model for regional development, environmental quality control and industrial land use., Papers in Regional Science 36(1): 35-57.

DOI: 10.1007/bf01944374

[8] Han, Y., Huang, Y., Wang, G., (2011). Interval-Parameter Linear Optimization Model with Stochastic Vertices for Land and Water Resources Allocation Under Dual Uncertainty., Environmental Engineering Science 28(3): 197-205.

DOI: 10.1089/ees.2010.0160

[9] Savic Drangan A., Walters Godfery A. (1997). Genetic Algorithms for Least-Cost Design of Water Distribution Network., Journal of Water Resours Planning and Management. 123(3): 137-146.

DOI: 10.1061/(asce)0733-9496(1997)123:2(67)

[10] Ning, S. K. and Chang, N. B. (2002). Multi-objective, decision-based assessment of a water quality monitoring network in a river system., Journal of Environmental Monitoring 4(1): 121-126.

DOI: 10.1039/b107041j