Abstract
A multi-objective and equilibrium scheduling model is established based on water resources macro allocation (WRMAA) scheme to describe the scheduling process accurately in the specific scheduling period. The proposed coupling method sets the WRMAA schemes as the boundary data of the water resources micro scheduling (WRMIS) model and some indicators are used to couple WRMAA and WRMIS models in terms of objective functions, constraints and time series. The runoff deviation factor of ecological node (RDFEN) is brought into the coupling process in order to reflect the ecological scheduling effects. At last, the proposed model is successfully applied to the regional water resources scheduling in Jinan of Shandong Province, China, on a ten-day basis. The results reveal that the ecological base flow should be taken into account in normal and moderately dry years for the short-term planning period, and it should be recommended for the long-term planning period whatever the water condition is. The water deficit ratio of the long-term planning period is much lower than that of the short-term planning period, which verifies its superiority. Hence, the proposed model provides an effective approach to achieving the coordination of macro planning and micro scheduling management of future water resources, especially for the specific scheduling period.
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References
Ahmed I (2001) On the determination of multi-reservoir operation policy under uncertainty. Arizona
Alminagorta O, Rosenberg DE, Ketenring KM (2016) Systems modeling to improve the hydro-ecological performance of diked wetlands. Water Resour Res 52(9):7070–7085. https://doi.org/10.1002/2015WR018105
Bryan BA, Overton I, Higgins A, Holland K, Lester RE, King D (2010) Integrated modelling for the conservation of river ecosystems: Progress in the South Australian River Murray. 5th International Congress on Environmental Modelling and Software, Ottawa, Ontario, Canada. https://scholarsarchive.byu.edu/iemssconference/2010/all/560/. Accessed 25 Oct 2018
Fang GH, Guo YX, Wen X, Fu XM, Lei XH, Tian Y, Wang T (2018) Multi-objective differential evolution-Chaos shuffled frog leaping algorithm for water resources system optimization. Water Resour Manag:1–18. https://doi.org/10.1007/s11269-018-2021-6
Guo W, Fang GH, Huang XF (2011) Research on optimal dispatching of Cascade reservoirs based on hybrid artificial fish swarm and genetic algorithm. Water Resources and Power 29(06):49–51+165
Hou JW (2012) Integration of ACA, RS and GIS for Spatial Optimal Allocation of Water Resources. Dissertation, Henan University
Hu HP, Liu DF, Tian FQ, Ni GH (2008) A method of ecological reservoir reoperation based-on ecological flow regime. Adv Water Sci 19(3):325–332
Hydrological information port of Jinan (2018) http://www.jnsww.com.cn:9090/jnsw/. Accessed 25 October 2018
Jinan Bureau of Statistics (2018) 2014 Jinan Statistical Yearbook; China Statistics Press: Beijing, China. http://jntj.jinan.gov.cn/module/download/downfile.jsp?classid=0&filename=80cf934c7f25468f8a2637a293c4d7e2.pdf. Accessed 25 October 2018
Jinan Statistical Information Network (2018) http://jntj.jinan.gov.cn/art/2016/5/20/art_18254_1026396.html. Accessed 25 October 2018
Jing X, Hao CL, Wang G, Wang LH (2015) Multi-objective ecological operation of water supply reservoir. South-to-north water transfers and Water Science & Technology 13(3): 463–467+492. http://www.nsbdqk.net/ch/reader/view_abstract.aspx?flag=1&file_no=20150314&journal_id=nsbdyslkj. Accessed 20 Oct 2018
Li WK, Wang WL, Li L (2018) Optimization of water resources utilization by multi-objective moth-flame algorithm. Water Resour Manag 32:3303. https://doi.org/10.1007/s11269-018-1992-7
Llich N, Simonovic SP, Amron M (2000) The benefits of computerized realtimer river basin management in the Malahay reservoir system. Can J Civil Eng 27(1): 55–64. doi: 10.1139/l99-051
Lumbroso DM, Twigger-Ross C, Raffensperger J, Harou JJ, Silcock M, Thompson AJK (2014) Stakeholders’ responses to the use of innovative water trading system in east Anglia, England. Water Resour Manag 28(9):2677–2694. https://doi.org/10.1007/s11269-014-0633-z
Mao JQ, Zhang PP, Dai LQ, Dai HC, Hu TF (2016) Optimal operation of a multi-reservoir system for environmental water demand of a river-connected lake. Hydrol Res 47(S1):206–224. https://doi.org/10.2166/nh.2016.043
Peng J (2013) Study on multi-objective dynamic optimize-allocation of water resources based on GIS. Dissertation, Tianjin University
Pingry DE, Shaftel TL, Boles KE (1990) Role for decision-support systems in water-delivery design. J Water Resour Plan Manag 117(6): 629–644. doi: 10.1061/(ASCE)0733-9496(1991)117:6(629)
Salewicz KA, Loucks DP (1989) Interactive simulation for planning, managing and negotiating. Closing the gap between theory and practice, IAHS Publ (180): 263–268. https://www.researchgate.net/publication/266218532. Accessed 27 Oct 2018
Wang T, Fang GH, Xie XM, Liu Y, Ma ZZ (2017) A multi- dimensional equilibrium allocation model of water resources based on a groundwater multiple loop iteration technique. Water 2017, 09(19). https://www.mdpi.com/2073-4441/9/9/718/htm. Accessed 25 Sept 2017
Wang YF, Lei XH, Wen X, Fang GH, Tan QF, Tian Y (2018) Effects of damming and climatic change on the eco-hydrological system: a case study in the Yalong River, Southwest China. Ecol Indic. https://doi.org/10.1016/j.ecolind.2018.07.039
Willey RG, Smith DJ, Duke JH (1996) Modeling water-resource systems for water-quality management. J Water Resour Plan Manag 122(3):171–179. https://doi.org/10.1061/(ASCE)0733-9496(1996)122:3(171)
Willis R, Finney BA, Zhang D (1989) Water resources management in North China plain. J Water Resour Plan Manag 115(5):598–615. https://doi.org/10.1061/(ASCE)0733-9496(1989)115:5(598)
Yu Y, Wang PF, Wang C, Wang X (2018) Optimal reservoir operation using multi-objective evolutionary algorithms for potential estuarine eutrophication control. J Environ Manag 223:758–770. https://doi.org/10.1016/j.jenvman.2018.06.044
Zaman AM, Malano HM, Davidson B (2009) An integrated water trading-allocation model, applied to a water market in Australia. Agr Water Manage 96(1):149–159. https://doi.org/10.1016/j.agwat.2008.07.008
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This research was funded by the 13th National Key Research and Development Program of China (Grant No. 2017YFC0404405, 2018YFC0407705), the National Natural Science Foundation of China (Grant No. 51509266) and the Scientific Research Special Fund Project of Public Welfare by Ministry of Water Resources, China (Grant No. 201401003).
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Wang, T., Liu, Y., Wang, Y. et al. A Multi-Objective and Equilibrium Scheduling Model Based on Water Resources Macro Allocation Scheme. Water Resour Manage 33, 3355–3375 (2019). https://doi.org/10.1007/s11269-019-02304-w
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DOI: https://doi.org/10.1007/s11269-019-02304-w