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Study on the Raw Water Allocation and Optimization in Shenzhen City, China

1
School of Hydropower & Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
2
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
3
College of Renewable Energy, North China Electric Power University, Beijing 102206, China
4
Department of Water Resources Management, China Yangtze Power Company Limited, Yichang 443133, China
*
Author to whom correspondence should be addressed.
Water 2019, 11(7), 1426; https://doi.org/10.3390/w11071426
Received: 17 May 2019 / Revised: 2 July 2019 / Accepted: 9 July 2019 / Published: 11 July 2019
(This article belongs to the Section Urban Water Management)
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Abstract

In order to allocate the raw water of the complex water supply system in Shenzhen reasonably, this paper studied the complex network relationship of this large-scale urban water supply system, which consists of 46 reservoirs, 67 waterworks, 2 external diversion water sources, 14 pumping stations and 9 gates, and described each component of the system with the concepts of point, line and plane. Using the topological analysis technology and graph theory, a generalized model of the network topological structure of the urban water allocation system was established. On this basis, combined with the water demand prediction and allocation model of waterworks, a water resources allocation model was established, aiming at satisfying the guaranteed rate of the water supply. The decomposition and coordination principle of the large-scale system and the dynamic simulation technology of the supply-demand balance were adopted to solve the model. The forward calculation mode of controlling waterworks and pumps, and the reverse calculation mode of controlling reservoirs and waterworks were designed in solving the model, and a double-layer feedback mechanism was formed, which took the reverse calculation mode as outer feedback and the reservoir water level constraint or pipeline capacity constraint as inner feedback. Through the verification calculation of the case study, it was found that the proposed model can deal well with the raw water allocation of a large-scale complex water supply system, which had an important application value and a practical significance. View Full-Text
Keywords: water allocation; water supply system; network generalization; water demand forecasting; feedback control; Shenzhen City water allocation; water supply system; network generalization; water demand forecasting; feedback control; Shenzhen City
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Jiang, Z.; Wang, C.; Liu, Y.; Feng, Z.; Ji, C.; Zhang, H. Study on the Raw Water Allocation and Optimization in Shenzhen City, China. Water 2019, 11, 1426.

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