Dynamic Simulation Study on Water-Supply Volume of the Hanjiang-to-Weihe River Water Diversion Project
Abstract
:1. Introduction
2. Calculation Model of Water Supply
2.1. Overview of the Study Area
2.2. Dynamic Calculation Model of Water Supply
Calculation model: |
Input: reservoir inflow runoff series, engineering parameters, and water requirements for different users. |
Output: the variable water supply of receiving area. |
Steps of calculation: |
Step 1: The water requirements of each type of water user in different years are calculated by the fixed-amount method. Water requirements include Wdn, Wpn, Wan, and Wen. |
Step 2: The principle of water supply in the water source area is priority, thereby meeting the downstream water requirements before water supply. Based on this principle, the water supply is calculated using the daily regulation of the reservoir. 2.1 Based on the dispatching interval of the Sanhekou Reservoir (Table 1), we determined the operation method of reservoirs in the water source area, and calculated the Wsp_max and Wb_max. 2.2 We determined the operation method of the Huangjinxia Reservoir according to its dispatching interval (Table 2) and then calculated the Wsp and Wb. |
Step 3: According to the reservoir application principles of the reservoirs in the receiving area, the priority was to meet the Wre and then carry out the daily regulation calculation to obtain the Wrp. |
Step 4: We calculated the actual water supply for each type of water object through a supply-and-demand balance analysis in the receiving area. If the calculated result is less than 0, we assumed it was 0. 4.1 The water supply from the source area was mainly used as domestic and production water. The actual water supply volume of domestic is: The actual production water supply volume can be calculated as follows: 4.2 The water supply from the receiving area is mainly used as agricultural and ecological environment water. The actual agricultural water supply is determined by the following formula: The actual ecological environment water supply is calculated by the following formula: 4.3 If there was a surplus of water supply in source area and inadequate water supply in the receiving area, we used the former as the latter, which is according to the principle of water supply in the receiving area. |
Step 5: We obtained the available water supply in the source area by back-calculation, which is based on the various types of water requirements and supply, and it is determined by the formula below. |
- (1)
- Water balance.
- (2)
- Reservoir capacity.
- (3)
- Water flow.
- (4)
- Variables are not negatively.
2.3. Construction of the Simulation-Calculation System
- The construction of the business or application system is convenient, fast, and has a high degree of reuse. Decision-makers can construct the system on the visual panel of the CIP, which has excellent flexibility and adaptability. Decision-makers can add and delete nodes at any time to adapt to the changes in operation situations.
- The calculation and business implementation of the knowledge graph is detailed and intuitive. With the sequential computation of the knowledge graph nodes, decision-makers can change the computation scenarios and instantly view the results. The CIP’s scenario simulation makes it well suited for dynamic computation [30].
3. Result
4. Discussion
5. Conclusions
Author Contributions
Funding
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Nomenclature
Symbols | Description |
Duration of time intervals, = 1d | |
Dead storage of reservoir | |
Utilizable storage of reservoir | |
Flow constraint of tunnel | |
Domestic water requirement | |
Domestic water supply volume | |
Produced water requirement | |
Produced water supply volume | |
Agricultural water requirement | |
Agricultural water supply volume | |
Ecological water requirement of environment | |
Ecological water supply of environment | |
Downstream ecological flow in source area | |
Downstream ecological flow in receiving area | |
Water supply in resource area | |
Water supply in receiving area | |
Water demand in receiving area | |
Replenish water of reservoir | |
Water supply of Huangjinxia Reservoir | |
Inbound water of reservoir | |
Inbound flow of reservoir | |
Capacity of reservoir | |
Available water of source area | |
Maximum water supply flow in source area | |
Maximum water supply volume in source area | |
Maximum replenish water | |
Outflow of reservoir |
References
- Mohamed, M.M.; El-Shorbagy, W.; Kizhisseri, M.I.; Chowdhury, R.; McDonald, A. Evaluation of policy scenarios for water resources planning and management in an arid region. J. Hydrol. Reg. Stud. 2020, 32, 100758. [Google Scholar] [CrossRef]
- Comair, G.F.; Gupta, P.; Ingenloff, C.; Shin, G.; McKinney, D.C. Water resources management in the Jordan River Basin. Water Environ. J. 2013, 27, 495–504. [Google Scholar] [CrossRef]
- Yang, M.; Yang, G.; He, X.; Wang, C.; Li, X. Analysis of water supply and demand balance in Manas River irrigation area based on system dynamics. J. Arid Land Resour. Environ. 2018, 32, 174–180. [Google Scholar] [CrossRef]
- Jamali, A.A.; Ghorbani Kalkhajeh, R. Spatial modeling considering valley’s shape and rural satisfaction in check dams site selection and water harvesting in the watershed. Water Resour. Manag. 2020, 34, 3331–3344. [Google Scholar] [CrossRef]
- Aibibuli, A. Analysis of Water Resources Supply and Demand Balance in Alagou Reservoir. Energy Energy Conserv. 2021, 4, 96–97+154. [Google Scholar] [CrossRef]
- Yang, L. Analysis on the balance of supply and demand of water resources in the drinking water project in the border area of Bole City. Shaanxi Water Resour. 2022, 126–127. [Google Scholar] [CrossRef]
- Zhang, X. Calculation method of reserve capacity and available water supply for reserve water source reservoir. Water Resour. Plan. Des. 2018, 73–76. [Google Scholar] [CrossRef]
- Karamouz, M.; Mohamadpour, P. Water balance based sustainability analysis of supply and demand, towards developing a hybrid index (case study: Aharchay watershed). Iran-Water Resour. Res. 2017, 12, 1–11. Available online: http://www.iwrr.ir/article_65162_67aae7a216b1ebad5cc41daa2f0cd491.pdf (accessed on 29 July 2020).
- Jamali, A.A.; Tabatabaee, R.; Randhir, T.O. Ecotourism and socioeconomic strategies for Khansar River watershed of Iran. Environ. Dev. Sustain. 2021, 23, 17077–17093. [Google Scholar] [CrossRef]
- Qaiser, K.; Ahmad, S.; Johnson, W.; Batista, J.R. Evaluating water conservation and reuse policies using a dynamic water balance model. Environ. Manag. 2013, 51, 449–458. [Google Scholar] [CrossRef]
- Brekke, L.; Larsen, M.D.; Ausburn, M.; Takaichi, L. Suburban water demand modeling using stepwise regression. J. AWWA 2002, 94, 65–75. [Google Scholar] [CrossRef]
- Chen, L.; Guan, H.; Wu, L.; Yi, K.; Wang, Y. Analysis and prediction of water supply capacity of water conservancy project in Qinzhou city, China. Water Saving Irrig. 2018, 91–96. [Google Scholar] [CrossRef]
- Zhang, Z.; Getahun, E.; Mu, M.; Chandrasekaran, S. Water supply planning considering uncertainties in future water demand and climate: A case study in an Illinois watershed. JAWRA 2021, 1–17. [Google Scholar] [CrossRef]
- Zheng, H.; Ding, X.; Wang, Z.; Hou, X.; Hu, Y. Analysis and Research on Water Demand and Available Water in Small River Basin. Rural Econ. Sci. -Technol. 2020, 31, 227–228+256. [Google Scholar] [CrossRef]
- Bhat, T.A. An analysis of demand and supply of water in India. J. Environ. Earth Sci. 2014, 4, 67–72. [Google Scholar] [CrossRef]
- Asghar, A.; Iqbal, J.; Amin, A.; Ribbe, L. Integrated hydrological modeling for assessment of water demand and supply under socio-economic and IPCC climate change scenarios using WEAP in Central Indus Basin. J. Water Supply Res. Technol. Aqua 2019, 68, 136–148. [Google Scholar] [CrossRef]
- Browne, A.L. Insights from the everyday: Implications of reframing the governance of water supply and demand from ‘people’ to ‘practice’. WIRES Water 2015, 2, 415–424. [Google Scholar] [CrossRef]
- Aoun-Sebaiti, B.; Hani, A.; Djabri, L.; Chaffai, H.; Aichouri, I.; Boughrira, N. Simulation of water supply and water demand in the valley of Seybouse (East Algeria). Desalin. Water Treat. 2014, 52, 2114–2119. [Google Scholar] [CrossRef]
- Xiao, Y.; Luo, J.; Ye, J. Multi-Objective Optimization for Reservoir Operation Simulation for Huangjinxia Reservoir in the Hanjiang-to-Weihe River Water Diversion Project. Yellow River 2021, 141–144. [Google Scholar] [CrossRef]
- Kong, B.; Fu, S.; Huang, Q. Multi-objective optimal operation of hydropower plant-reservoir-pumping station group in large complex inter-basin water transfer projects. Water Resour. Prot. 2020, 36, 67–72. [Google Scholar] [CrossRef]
- Hui, Q. Research and System Realization of Digital Water Network and Water Allocation in the Han-to-Wei River Diversion Project. Master’s Thesis, Xi’an University of Technology, Xi’an, China, 2021. [Google Scholar] [CrossRef]
- Lei, G.J.; Wang, W.C.; Liang, Y.; Yin, J.X.; Wang, H. Failure risk assessment of discharge system of the hanjiang-to-weihe river water transfer project. Nat. Hazards 2021, 108, 3159–3180. [Google Scholar] [CrossRef]
- Luo, J. Study on Water Resources Business Informatization and Meta-Synthesis Application Mode. Ph.D. Thesis, Xi’an University of Technology, Xi’an, China, 2009. [Google Scholar] [CrossRef]
- Xie, J.; Luo, J. Integrated service platform for the information explosion process in water resources industry and its application pattern. Water Resour. Informatiz. 2010, 5, 18–23. [Google Scholar] [CrossRef]
- Sun, X.; Luo, J.; Xie, J. Dynamic simulation on available water supply in Heihe river waterworks. J. Water Resour. Water Eng. 2016, 27, 21–26. [Google Scholar] [CrossRef]
- Wang, Q.; Hao, H.; Li, Y. Study on the Ecological Discharge of the Lower Reaches of the Maliba Reservoir Based on Q90 Method and R2-Cross Method. Environ. Sci. Surv. 2021, 40, 51–55. [Google Scholar] [CrossRef]
- Qiu, Y. Technology of components and its comparison. Comput. Eng. Des. 2003, 7, 13–17+42. [Google Scholar] [CrossRef]
- Lv, H. Discussion of the Web Service Technology in the SOA. Comput. Program. Ski. Maint. 2010, 4, 75+78. [Google Scholar] [CrossRef]
- Zhang, Y. Cloud computing and virtualization technology. Comput. Secur. 2011, 5, 80–82. [Google Scholar] [CrossRef]
- Xie, J.; Chai, L.; Gao, Y.; Liu, J. Theme-oriented Service for Business Application Mode based on Platform. Water Resour. Informatiz. 2015, 6, 18–24. [Google Scholar] [CrossRef]
- Xiaoru, Y.; Liangjun, F.; Yongyong, Z. Research on optimal allocation of water resources for Hanjiang-to-Weihe River Water Transfer Project. J. Water Resour. Archit. Eng. 2012, 10, 6–10+54. [Google Scholar] [CrossRef]
- Zhenghao, C.; Na, Z.; Ping, Q. Water resources assessment on water diversion project from Hanjiang River to Weihe River. Yangtze River 2014, 45, 30–33. [Google Scholar] [CrossRef]
Scheduling Interval | Engineering Application Criteria | |
---|---|---|
The preventative-abandonment water level | 50 | Priority use of water from the Sanhekou Reservoir |
50 | Priority use of water from the Huangjinxia Reservoir | |
Water-supply control water level | ||
21.2 | Simultaneous application in the water source and receiving areas | |
Joint-supply assurance water level | ||
12.8 | Groundwater in the receiving area is the primary source | |
The dead-water level | ||
The dead-water level in extra-dry year | 9.8 |
Scheduling Interval | Water Volume Judgment | Water Supply Sequence | Water Replenishment |
---|---|---|---|
Higher than normal water level | Huangjinxia Reservoir | Replenishment | |
Huangjinxia Reservoir | No replenishment | ||
Dead-water line to normal water level | Sanhekou and Huangjinxia Reservoir | ||
Dead-water line | Sanhekou Reservoir | ||
Huangjinxia Reservoir |
Scheme | Typical Year | Year | Ecological Water | Water Supply Volume (104 m3) | ||
---|---|---|---|---|---|---|
2020 | 2025 | 2030 | ||||
1 | Dry year | 2002 | 10% of the annual average runoff | 55,175 | 59,602 | 93,910 |
2 | Normal year | 1992 | 62,310 | 67,534 | 121,275 | |
3 | Abundant year | 1990 | 115,453 | 124,996 | 153,504 | |
4 | Dry year | 2002 | Q90 method | 55,025 | 59,452 | 93,816 |
5 | Normal year | 1992 | 62,216 | 67,403 | 121,218 | |
6 | Abundant year | 1990 | 115,396 | 124,921 | 153,410 | |
7 | Dry year | 2002 | Monthly average discharge in the last ten years | 55,242 | 59,669 | 93,952 |
8 | Normal year | 1992 | 62,353 | 67,664 | 121,291 | |
9 | Abundant year | 1990 | 115,478 | 125,029 | 153,546 |
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Hui, Q.; Luo, J.; Du, X.; Song, X.; Xie, J.; Wei, N. Dynamic Simulation Study on Water-Supply Volume of the Hanjiang-to-Weihe River Water Diversion Project. Water 2023, 15, 627. https://doi.org/10.3390/w15040627
Hui Q, Luo J, Du X, Song X, Xie J, Wei N. Dynamic Simulation Study on Water-Supply Volume of the Hanjiang-to-Weihe River Water Diversion Project. Water. 2023; 15(4):627. https://doi.org/10.3390/w15040627
Chicago/Turabian StyleHui, Qiang, Jungang Luo, Xiaozhou Du, Xiaofeng Song, Jiancang Xie, and Na Wei. 2023. "Dynamic Simulation Study on Water-Supply Volume of the Hanjiang-to-Weihe River Water Diversion Project" Water 15, no. 4: 627. https://doi.org/10.3390/w15040627
APA StyleHui, Q., Luo, J., Du, X., Song, X., Xie, J., & Wei, N. (2023). Dynamic Simulation Study on Water-Supply Volume of the Hanjiang-to-Weihe River Water Diversion Project. Water, 15(4), 627. https://doi.org/10.3390/w15040627