Assessment and Optimization of Water Resources Regulation for River Networks in the Tidal Plain—A Case Study of the Qingsong Area in Shanghai
Abstract
:1. Introduction
2. Materials and Methods
2.1. Regional Overview
2.2. Analysis of Prototype Observation Test
2.2.1. Introduction to Current Regulation
2.2.2. Water Level Analysis of Qingsong Area
2.2.3. River Flow Analysis of Qingsong Area
2.3. Hydrodynamic Model
2.3.1. Model Construction
2.3.2. Calibration and Validation of the Model
3. Results and Discussion
3.1. Assessment of Current Regulation Scheme
3.2. Optimal Regulation Scheme
4. Conclusions
- A prototype hydrodynamic observation test in the Qingsong area was carried out. The water resources in Qingpu District are regulated to make full use of the tidal power, and the overall pattern of diversion and drainage is excellent. During the periphery spring tide, the tidal range in the upper reaches of the Huangpu River is large, the maximum daily tidal range is 1.55 m, and the water level difference with the south gate of Qingpu is large, so the natural conditions for large diversion and large drainage are available; the water level of the Wusong River and Dianshan Lake is generally slightly higher than that of the south gate of Qingpu, which has the natural condition of diverting water from the west and the north; and the tidal range outside the Diandong gate is large. The water level difference with the south gate of Qingpu is large, and the low-tide drainage is relatively smooth. The south–north backbone river course of the Qingsong area is generally from north to south, with a maximum flow of 10–68 m3/s. During the peak water diversion period of the Huangpu River on a two-day basis, the two water diversion streams from north to south meet in the north of the Shangda River, and the water diversion flow in the south of the junction area is greater than that in the north. The east–west channel flows from west to east as a whole. The flow of the Dianpu River is relatively large, with a maximum flow of about 48 m3/s, and the flow of the Shangda River is relatively small.
- A water resources regulation assessment in Qingpu District was carried out. The water level of Wusong River is high and the gates along the river are open, with water flowing from north to south, diverting an average of 3.08 million cubic meters of water per day, accounting for 53% of the water diverted. The water level of Dianshan Lake is high, and the west gate of Dianshan Lake is open for operation. The average daily water diversion is about 0.39 million m3, accounting for 7%. The Diandong pumping gate drains water at two tides every day, with an average daily drainage of 3.28 million m3, accounting for 42% of the total. The Huangpu River has a large tidal range, and the entrances along the line are single-row and double diversion, which is the main water diversion and drainage channel of the Qingsong area, with the water diversion volume accounting for 21% and the drainage volume accounting for 43%. The exchange period between the backbone river of the Qingsong area and the surrounding water body is 4.3 days.
- During the neap tide, the tidal power in the upper reaches of the Huangpu River is obviously weakened. The water level along the Huangpu River is mainly drained, and the water level in the area continues to decrease. Therefore, an optimal regulation scheme has been developed for more diversion and less drainage along the Huangpu River. The net drainage volume is significantly reduced, and the water level in the area can be increased by 0.05–0.10 m, but the water body exchange volume inside and outside the area is reduced, which will reduce the water environment capacity of the Qingsong area. The water quality of the Qingsong area is relatively good, and it is generally recommended that the original dispatching be maintained; for areas where the landscape water level is required, the optimal dispatching scheme of water level enhancement is adopted as appropriate.
- The area of Qingsong is 758.23 km2; only Qingpu south gate is selected as a representative station for the model rate validation in this paper, and only Xintongbodang–Dianpu River is selected for the flow rate. In the future, more representative sites will be selected to enhance observations and increase the range of water level and flow rate validation to improve the accuracy of the model.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
- Szabo, S.; Brondizio, E.; Renaud, F.G.; Hetrick, S.; Nicholls, R.J.; Matthews, Z.; Tessler, Z.; Tejedor, A.; Sebesvari, Z.; Foufoula-Georgiou, E.; et al. Population dynamics, delta vulnerability and environmental change: Comparison of the Mekong, Ganges–Brahmaputra and Amazon delta regions. Sustain. Sci. 2016, 11, 539–554. [Google Scholar] [CrossRef] [Green Version]
- Tejedor, A.; Longjas, A.; Zaliapin, I.; Foufoula-Georgiou, E. Delta channel networks: 1. A graph-theoretical approach for studying connectivity and steady state transport on deltaic surfaces. Water Resour. Res. 2015, 51, 3998–4018. [Google Scholar] [CrossRef]
- Sarker, S.; Veremyev, A.; Boginski, V.; Singh, A. Critical Nodes in River Networks. Sci. Rep. 2019, 9, 11178. [Google Scholar] [CrossRef] [Green Version]
- Gao, Y.; Sarker, S.; Sarker, T.; Leta, O.T. Analyzing the critical locations in response of constructed and planned dams on the Mekong River Basin for environmental integrity. Environ. Res. Commun. 2022, 4, 101001. [Google Scholar] [CrossRef]
- Shao, J.; Han, L.; Wu, S. Impact of Water Resources Regulation on River Water Environment. Adv. Hydraul. Hydroinf. 2009, 2009, 88–92. [Google Scholar]
- Huang, W.; Zhang, X.N.; Wang, J.Y. A Multi-Agent Simulation Model for Water Resources Allocation and Scheduling. Adv. Mater. Res. 2012, 1566, 1447–1452. [Google Scholar] [CrossRef]
- Li, H.; Qin, T.; Wang, X.; Wang, J.; Lei, X. Study on Water Resources Scheduling. IOP Conf. Ser. Earth Environ. Sci. 2018, 189, 052039. [Google Scholar] [CrossRef]
- Mortazavi-Naeini, M.; Kuczera, G.; Cui, L. Application of multiobjective optimization to scheduling capacity expansion of urban water resource systems. Water Resour. Res. 2014, 50, 4624–4642. [Google Scholar] [CrossRef]
- Wu, Y.; Wen, X. An Analysis and Scheduling Strategy for Water Resources. In Proceedings of the 2017 2nd International Conference on Electrical, Control and Automation Engineering (ECAE 2017), Xiamen, China, 24–25 December 2017. [Google Scholar]
- Yan, Y.X.; Yan, X. Research on Ecological Restoration of Qingtu Lake and Water Resources Scheduling in the Downstream of Shiyang River Basin. Appl. Mech. Mater. 2013, 2547, 973–976. [Google Scholar] [CrossRef]
- Zhou, Y. Study on Regional Water Resources Allocation Efficiency Based on Networking and Joint Scheduling of Reservoir Groups. Am. J. Water Sci. Eng. 2018, 4, 33–39. [Google Scholar] [CrossRef] [Green Version]
- Japan Land and Resources Agency. Japan’s National Comprehensive Water Resources Planning; China Water Resources and Hydropower Press: Beijing, China, 2002. [Google Scholar]
- Compilation Committee of Shanghai Water Conservancy Annals. Shanghai Water Conservancy Annals; Shanghai Academy of Social Sciences Press: Shanghai, China, 1997; pp. 142–144. [Google Scholar]
- Songbai, W.; Fengxin, Y.; Minghui, Y. Study on the optimal dispatching model of flood control system of the Plain Sensitive Tide River network gate group. Sedim. Res. 2014, 6, 57–63. [Google Scholar]
- Ji, R.; Li, S.; Hou, J. Energy dissipation and anti scour design for flood control (tide) drainage sluice in plain tidal river net-work area under special conditions: Taking Jiabao north area in Shanghai as an example. Water Resour. Hydropower Eng. 2020, 51 (Suppl. S1), 130–135. [Google Scholar]
- Tan, Q.; Zhang, J.; Xu, G.; Jia, W. Optimal scheduling of linkage operation of river pump gates and municipal pumping stations to cope with inundation. China Water Supply Drain. 2018, 34, 124–128. [Google Scholar]
- Zhu, X.; Li, Y.; Xu, Y.; Cheng, Y.; Zhu, X. Influence of time scale on the accuracy of hydrodynamic water quality simulation of plain sensing tidal river network. Water Resour. Conserv. 2020, 36, 67–75. [Google Scholar]
- Wang, S.R.; Gu, Y.C.; Yang, D.W.; Sun, J.H.; Hu, Q.F.; Zhang, X. Analysis of hydrodynamic enhancement of a typical plain city sensing tidal river network in the lower reaches of the Yangtze River. Adv. Water Sci. 2022, 33, 91–101. [Google Scholar]
- Zhang, W.; Fei, P. Research and Application of Water Resources Optimal Regulation in Zaozhuang City. Shandong Water Resour. Sci. Technol. 1994, 2, 48–53. [Google Scholar]
- Yang, M. Planning Model for Optimal Regulation of Urban Water Resources in Luoyang. Groundwater 2000, 22, 96–98. [Google Scholar]
- Tao, Y. Analysis on the Effect of Water Resources Regulation Project on the Improvement of Urban River Water Environment. Urban Road Bridge Flood Control. 2011, 5, 88–91. [Google Scholar]
- Yan, H.; Wang, F.; Wen, P. A review of distributed hydrological modeling research. Hydropower Energy Sci. 2008, 26, 1–4. [Google Scholar]
- Rui, X.-F.; Huang, G.-R. Current status and future of distributed hydrological models. Adv. Water Resour. Hydropower Sci. Technol. 2004, 24, 55–58. [Google Scholar]
- Bian, Z.; Zhou, L. An implicit characteristic line solution method for the system of Saint Venant equations. Hydrodyn. Res. Prog. 1991, 29–34. [Google Scholar]
- Hu, Q.Y.; Wang, F.H. Stability analysis of the 4-point linear hermitian form of the system of Saint Venant equations. J. Riverhead Univ. Nat. Sci. Ed. 2011, 39, 397–401. [Google Scholar]
- Bao, W.; Zhang, X.; Qu, S. Analysis and improvement of the application problem of St. Venant’s equation in tide-sensitive river sections. Hydrodyn. Res. Prog. 2010, 25, 359–366. [Google Scholar]
- Yuan, W.; Yang, K.; Wu, J.P. The characteristics of river structure and its classification in the urbanized plain river network. Geoscience 2007, 27, 401–407. [Google Scholar]
- Zuo, J.J.; Cai, Y.L. The method of classifying catchment areas in the plain river network area: Shanghai as an example. Adv. Water Sci. 2011, 22, 337–343. [Google Scholar]
- Yang, K. Study on the Characteristics of Water System Structure and Urbanization Response in the Plain River Network; East China Normal University: Shanghai, China, 2006. [Google Scholar]
- Xie, H.; Huang, J. Matching relationship between two levels of urban drainage standards in the plain river network area. J. Wuhan Univ. Eng. Ed. 2007, 40, 39–42. [Google Scholar]
- Yang, M.N.; Xu, Y.P.; Deng, X.J. Characteristics of river system changes in the urban centre of the plain river network. Soil Water Conserv. Bull. 2014, 34, 263–266. [Google Scholar]
- Dessalegne, T.; Nicklow, J.W. Evolutionary Algorithms for Optimal Control of the Illinois Waterway. In Proceedings of the World Water and Environmental Resources Congress 2003 and Related Symposia, Philadelphia, PA, USA, 23–26 June 2003. [Google Scholar]
- Dessalegne, T.; Nicklow, J.W. Optimal Operation of Multi-Reservoir River Systems Using an Artificial Life Algorithm. In Proceedings of the World Water and Environmental Resources Congress 2004, Salt Lake City, UT, USA, 27 June–1 July 2004. [Google Scholar]
- Marcinkevage, C.; Herricks, E.H. A Process-Based Ecological Model for River Network Management. In Proceedings of the World Water and Environmental Resources Congress 2005, Anchorage, AK, USA, 15–19 May 2005. [Google Scholar]
- Zeng, X.; Li, T.; Chen, C.; Si, Z.; Huang, G.; Guo, P.; Zhuang, X. A hybrid land-water-environment model for identification of ecological effect and risk under uncertain meteorological precipitation in an agroforestry ecosystem. Sci. Total Environ. 2018, 633, 1613–1628. [Google Scholar] [CrossRef]
- Zeng, X.T.; Li, Y.P.; Huang, G.H.; Liu, J. A two-stage interval-stochastic water trading model for allocating water resources of Kaidu-Kongque River in northwestern China. J. Hydroinf. 2015, 17, 551–569. [Google Scholar] [CrossRef]
- Zeng, X.T.; Xiang, H.; Xue, Y.; Su, Y.; Tong, Y.F.; Mao, Z.Y. A scenario-based optimization frame to adjust current strategy for population- economy-resource-environment harmony in an urban agglomeration. Sustain. Cities Soc. 2021, 67, 102710. [Google Scholar] [CrossRef]
- Zhuang, X.W.; Li, Y.P.; Huang, G.H.; Zeng, X.T. An inexact joint-probabilistic programming method for risk assessment in water resources allocation. CrossMark 2015, 29, 1287–1301. [Google Scholar] [CrossRef]
- Zeng, X.; Yang, X.; Yu, L.; Chen, H. A Mix Inexact-Quadratic Fuzzy Water Resources Management Model of Floodplain (IQT-WMMF) for Regional Sustainable Development of Dahuangbaowa, China. Water 2015, 7, 2771–2795. [Google Scholar] [CrossRef] [Green Version]
- Shanghai Water Affairs Planning, Design and Research Institute. Research on Key Technologies for Comprehensive Regulation of Huangpu River and Suzhou River Resources; Shanghai Water Affairs Planning, Design and Research Institute: Shanghai, China, 2007. [Google Scholar]
- Li, X.; Zhao, Y. Design and Result Analysis of the Qingsong Area Water Transfer Test in Qingpu District, Shanghai. Water Conserv. Eng. 2017, 28, 52–53. [Google Scholar]
- Qingpu District Water Affairs Bureau of Shanghai Municipality. Detailed Rules for the Implementation of Qingpu District Water Resources Regulation (Flood Control Dispatching) (Trial); Qingpu District Water Affairs Bureau of Shanghai Municipality: Shanghai, China, 2020. [Google Scholar]
- Ruan, R. Study on the Mechanism and Practice of Water Resources Regulation to Improve Water Quality in Plain River Network Areas—Taking the Regulation of Water Resources Diversion from Shanghai as an Example; East China Normal University: Shanghai, China, 2003. [Google Scholar]
- Chen, Q.; Ding, R.; Zhao, H. The Improvement Effect of Flowing Water in Plain River Network Area on Hydrodynamic Force and Water Quality. Prog. Water Resour. Hydropower Sci. Technol. 2020, 40, 8–13. [Google Scholar]
- Gao, C.; Chen, C.; Tang, Y. Study on the Scheme of Water Diversion from Qingsong Water Conservancy Project in Shanghai. Hydropower Energy Sci. 2012, 30, 115–119. [Google Scholar]
- Sarker, S. A Short Review on Computational Hydraulics in the Context of Water Resources Engineering. Open J. Model. Simul. 2022, 10, 1–31. [Google Scholar] [CrossRef]
- Chen, M.; Fan, Z.; Li, Y.; Wu, Y. River Simulation System Software and Application; Hehai University Press: Nanjing, China, 2010. [Google Scholar]
The Surrounding River | Water Diversion Volume (Million m3) | Drainage Volume (Million m3) |
---|---|---|
Along the Huangpu River | 1071 | −3096 |
Along the Lanlu Gang | 985 | −903 |
Along the Wusong River | 2772 | −163 |
The west gate of the Dianshan River | 354 | 0 |
Diandong pump gate | 0 | −2957 |
Total | 5182 | −7121 |
Name | The Current Regulation | Case 1 | Case 2 | |||
---|---|---|---|---|---|---|
Water Diversion Volume (Million m3) | Drainage Volume (Million m3) | Water Diversion Volume (Million m3) | Drainage Volume (Million m3) | Water Diversion Volume (Million m3) | Drainage Volume (Million m3) | |
Along the Huangpu River | 692 | −1659 | 637 | −751 | 482 | 0 |
Along the Lanlu Gang | 513 | −474 | 601 | −343 | 357 | 0 |
Along the Wusong River | 1273 | −131 | 1083 | −46 | 986 | 0 |
The west gate of the Dianshan River | 176 | 0 | 137 | 0 | 54 | 0 |
Diandong pump gate | 0 | −1154 | 0 | −1744 | 0 | −2115 |
Total | 2654 | −3418 | 2458 | −2884 | 1881 | −2155 |
Regulation Schemes | Water Diversion Volume (Million m3) | Drainage Volume (Million m3) | Net Water Drainage (Million m3) | Minimum Daily Water Level (m) |
---|---|---|---|---|
The current regulation | 2654 | −3418 | −764 | 2.54–2.64 |
Case 1 | 2458 | −2884 | −426 | 2.60–2.64 |
Case 2 | 1881 | −2155 | −274 | 2.64–2.69 |
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Liu, J.; Ding, R.; Chen, Y.; Zhu, W.; Fan, Z.; Ma, J. Assessment and Optimization of Water Resources Regulation for River Networks in the Tidal Plain—A Case Study of the Qingsong Area in Shanghai. Water 2022, 14, 3523. https://doi.org/10.3390/w14213523
Liu J, Ding R, Chen Y, Zhu W, Fan Z, Ma J. Assessment and Optimization of Water Resources Regulation for River Networks in the Tidal Plain—A Case Study of the Qingsong Area in Shanghai. Water. 2022; 14(21):3523. https://doi.org/10.3390/w14213523
Chicago/Turabian StyleLiu, Jiaying, Rui Ding, Yu Chen, Wenhan Zhu, Ziwu Fan, and Jingtian Ma. 2022. "Assessment and Optimization of Water Resources Regulation for River Networks in the Tidal Plain—A Case Study of the Qingsong Area in Shanghai" Water 14, no. 21: 3523. https://doi.org/10.3390/w14213523
APA StyleLiu, J., Ding, R., Chen, Y., Zhu, W., Fan, Z., & Ma, J. (2022). Assessment and Optimization of Water Resources Regulation for River Networks in the Tidal Plain—A Case Study of the Qingsong Area in Shanghai. Water, 14(21), 3523. https://doi.org/10.3390/w14213523