Closure to “Reservoir Flood Season Segmentation and Optimal Operation of Flood-Limiting Water Levels” by Haiyan Jiang, Zhongbo Yu, and Chongxun Mo

2016 ◽  
Vol 21 (3) ◽  
pp. 07015024
Author(s):  
Haiyan Jiang ◽  
Zhongbo Yu ◽  
Chongxun Mo
Keyword(s):  
Optimal Operation ◽  
Water Levels ◽  
Flood Season

scholarly journals Optimal Operation of Floodwater Resources Utilization of Lakes in South-to-North Water Transfer Eastern Route Project

2021 ◽  
Vol 13 (9) ◽  
pp. 4857
Author(s):  
Zitong Yang ◽  
Xianfeng Huang ◽  
Jiao Liu ◽  
Guohua Fang
Keyword(s):  
Water Level ◽  
Resource Utilization ◽  
Flood Control ◽  
Optimal Operation ◽  
Water Transfer ◽  
Water Levels ◽  
Reservoir Storage ◽  
Flood Season ◽  
Hongze Lake ◽  
North Water

In order to meet the demand of emergency water supply in the northern region without affecting normal water transfer, considering the use of the existing South-to-North Water Transfer eastern route project to explore the potential of floodwater resource utilization in the flood season of Hongze Lake and Luoma Lake in Jiangsu Province, this paper carried out relevant optimal operating research. First, the hydraulic linkages between the lakes were generalized, then the water resources allocation mode and the scale of existing projects were clarified. After that, the actual available amount of flood resources in the lakes was evaluated. The average annual available floodwater resources in 2003–2017 was 1.49 billion m3, and the maximum available capacity was 30.84 billion m3. Then, using the floodwater resource utilization method of multi period flood limited water levels, the research period was divided into the main flood season (15 July to 15 August) and the later flood season (16 August to 10 September, 11 September to 30 September) by the Systematic Clustering Analysis method. After the flood control calculation, the limited water level of Hongze Lake in the later flood season can be raised from 12.5 m to 13.0 m, and the capacity of reservoir storage can increase to 696 million m3. The limited water level of Luoma Lake can be raised from 22.5 m to 23.0 m (16 August to 10 September), 23.5 m (11 September to 30 September), and the capacity of reservoir storage can increase from 150 to 300 million m3. Finally, establishing the floodwater resource optimization model of the lake group with the goals of maximizing the floodwater transfer amount and minimizing the flood control risk rate, the optimal water allocation scheme is obtained through the optimization algorithm.

scholarly journals Iterative LP water system optimal operation including headloss, leakage, total head and source cost

2013 ◽  
Vol 15 (4) ◽  
pp. 1203-1223 ◽  
Author(s):  
Eyal Price ◽  
Avi Ostfeld
Keyword(s):  
Energy Consumption ◽  
Water System ◽  
Pump Energy ◽  
Optimal Operation ◽  
Water Levels ◽  
Water Leakage ◽  
Pump Operation ◽  
Total Head ◽  
System Optimal ◽  
Water Tanks

Linear water balance optimal operation models are common with relative short solution times but suffer from a lack of certainty whether the given solution is at all hydraulically feasible. Introducing hydraulic headloss, water leakage and changing pump energy consumption, effect the resulting system optimal operation but also create a non-linear problem due to the convex relation between flow, headloss, water leakage and total head. This study utilizes a methodology published by the authors for linearization of convex or concave equations. An iterative linear programming (LP) minimal cost optimal operation supply model is solved including the Hazen–Williams headloss equation, pressure related water leakage equation, changing pump energy consumption and source cost. The model is demonstrated using an example application. ‘Greater than’ or ‘less than’ water head constraints at nodes may force the system to maintain certain water levels in water tanks reducing the available operating volume forcing pumping stations to operate in peak tariff periods as less storage is available in low tariff periods. Operationally, reducing water leakage may be achieved by reducing water heads along the system by means of shifting pump operation periods and maintaining low water levels in water tanks. Source costs may serve as penalties or rewards discouraging or encouraging the use of certain water sources.

A diffusion process model for the optimal operation of a reservoir system

1975 ◽  
Vol 12 (4) ◽  
pp. 859-863 ◽  
Author(s):  
Stanley R. Pliska
Keyword(s):  
Optimal Control ◽  
Diffusion Process ◽  
Process Model ◽  
Discharge Rate ◽  
Water Discharge ◽  
Optimal Operation ◽  
Water Levels ◽  
Control Problems ◽  
Release Rates ◽  
Controlled Diffusion

The water level in a reservoir is modelled as a controlled diffusion process on a compact interval of the real line. The problem is to control the water discharge rate so as to minimise the expected costs, which depend upon the histories of the water levels and release rates. The form of the optimal control is studied for two general classes of reservoir control problems.

scholarly journals Analysis of Sluice Foundation Seepage Using Monitoring Data and Numerical Simulation

2019 ◽  
Vol 2019 ◽  
pp. 1-15 ◽  
Author(s):  
Fan Xuefeng ◽  
Zhenyu Wu ◽  
Liu Lijun ◽  
Yanfeng Wen ◽  
Shu Yu ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Response Surface ◽  
Water Levels ◽  
Monitoring Data ◽  
Seepage Analysis ◽  
Seepage Pressure ◽  
Permeability Coefficients ◽  
Flood Season ◽  
Surface Method ◽  
Periodical Variation

For sluices built on soil foundations, seepage safety of the foundation is one of the most concerns during operation of sluices. Monitoring data could reflect the real seepage behavior in the foundation, but of which the shortcoming is that generally only the local seepage states can be measured. The seepage field in the whole foundation can be analyzed by numerical simulation. The permeability coefficients of the foundation materials significantly affect the numerical simulation results; however, it is difficult to accurately determine the values of permeability coefficients. In this paper, an approach based on response surface method (RSM) for calibration of permeability coefficients was proposed, and the efficiency of parameter calibration is improved by constructing the response surface equation instead of time-consuming finite element calculation of foundation seepage. The seepage in a sluice foundation was analyzed using monitoring data and numerical simulation. The monitoring data showed that the seepage pressure in the foundation periodically varies with high value in flood season and low value in dry season. After calibration of the permeability coefficients of the foundation materials using the measured seepage pressure, the seepage fields in the foundation for different water levels were numerically simulated to investigate the cause for the periodical variation of the seepage pressure and the seepage safety of the foundation was assessed with the calculated seepage gradients. The methods adopted in this study could be applied to seepage analysis for sluice foundations with similar geologic conditions and antiseepage measures.

scholarly journals Short-Term Optimal Operation of Cascade Reservoirs Considering Dynamic Water Flow Hysteresis

Water ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 2098 ◽  
Author(s):  
Yanke Zhang ◽  
Yuan Liu ◽  
Yueqiu Wu ◽  
Changming Ji ◽  
Qiumei Ma
Keyword(s):  
Water Flow ◽  
Optimal Algorithm ◽  
Optimal Operation ◽  
Short Term ◽  
Attenuation Effect ◽  
Cascade Reservoirs ◽  
Flood Season ◽  
Lower Reservoir ◽  
Improved Model ◽  
Full Consideration

In making short-term optimal operation schemes of cascade reservoirs, water flow hysteresis between the upper reservoir and the lower reservoir is often considered as constant, which cannot really reflect the hysteresis variation between different water flows and will lead to losses of the optimal operation scheme’s benefit. To depict the water flow hysteresis, a Dynamic Water Flow Hysteresis Method (DWFHM) is proposed, based on the space mapping principle. With the mapping operator in the DWFHM, the lower reservoir inflow can be directly obtained. Besides, the DWFHM is used to deal with the hydraulic relation constraint in the short-term optimal operation model of cascade reservoirs. Then, the improved model is applied to the Jinguan cascade reservoirs in the Yalong River basin and solved by an Improved Progressive Optimal Algorithm (IPOA). The results are as follows. (1) Compared with the traditional Fixed Water Flow Hysteresis Method (FWFHM), the inflow processes of the lower reservoir obtained by the DWFHM are more in line with the actual values, due to full consideration of the attenuation effect. (2) The optimal operation with the DWFHM can effectively increase the generated energy (2827 MW·h and 504 MW·h in the non-flood season and the flood season, respectively). Through the analysis of this case, the DWFHM developed in this study can effectively improve the practicability of the optimal operation scheme and reduce the risk in the operation of cascade reservoirs.

scholarly journals Research and Application of Key Technologies for Dynamic Control of Reservoir Water Level in Flood Season

Water ◽  
2021 ◽  
Vol 13 (24) ◽  
pp. 3576
Author(s):  
Jun Zhang ◽  
Yaowu Min ◽  
Baofei Feng ◽  
Weixin Duan
Keyword(s):  
Water Supply ◽  
Water Level ◽  
Real Time ◽  
Flood Control ◽  
Dynamic Control ◽  
Water Levels ◽  
Reservoir Water ◽  
Reservoir Water Level ◽  
Danjiangkou Reservoir ◽  
Flood Season

In today’s reservoir operation study, it is urgent to solve the issues on improving flood resource utilization, maximizing reservoir impoundment, and guaranteeing water supply through real-time regulation optimization under the premise of ensuring flood control safety and taking risks properly. Based on previous studies, the key real-time operation technologies for dynamic control of reservoir water levels in flood season are summarized. The Danjiangkou Reservoir was taken as an example, the division of flood stages, reservoir water level requirements for improving water supply guarantee, dynamic control indexes of reservoir water level for beneficial use in stages during the flood season, and flood control dispatching indexes are proposed. Moreover, a practicable real-time flood forecast operation scheme for Danjiangkou Reservoir was compiled. Its application in 2017 indicated that the established scheme can provide strong technical support to ensure the overall benefits of Danjiangkou Reservoir, including flood control, water supply, and power generation.

scholarly journals Study on the Staged Operation of a Multi-Purpose Reservoir in Flood Season and its Effect Evaluation

2021 ◽  
Author(s):  
Chongxun Mo ◽  
Can Zhu ◽  
yuli ruan ◽  
Juan Deng ◽  
Juliang Jin
Keyword(s):  
Spline Interpolation ◽  
Fractal Theory ◽  
Daily Rainfall ◽  
Water Shortage ◽  
Water Levels ◽  
Maximum Rainfall ◽  
Flood Season ◽  
Benefit Evaluation ◽  
River Reservoir ◽  
Risk Rate

Abstract A reasonable analysis of flood season staging is significant to the utilization of flood and the alleviation of water shortage. For a case study of the Chengbi River reservoir in China. Based on fractal theory, the flood season is divided into several sub-seasons by using four indexes (multi-year average daily rainfall, multi-year maximum rainfall, multi-year average daily runoff, and multi-year maximum daily runoff) in this study. The Cubic spline interpolation function is then used to determine the flood limit water levels of each sub-season. And the Benefit-Risk theory is applied to evaluate the effects of staged dispatching. The results show that the flood season of Chengbi River basin should be divided into the pre-flood season (13 April-6 June), the main flood season (7 June-9 September) and the post-flood season (10 September-31 October). Adjustment of flood limit water level for sub-season and benefit evaluation. When the risk rate after reservoir flood season operation increases by 0.13×10 -5 , the average annual expected risk is 0.2264 million RMB, and the average annual benefit increases by 0.88-1.62 million RMB. The benefits obtained far outweigh the risks, indicating the importance of staging the flood season.

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