scholarly journals Derived Storage Allocation Rules to Meet Shared Water Demands for Optimal Operation of an Inter-basin Multi-reservoir Water Supply System

2021 ◽  
Author(s):  
Fang Wan ◽  
Yu Wang ◽  
Lingfeng Xiao ◽  
Qihui Chai
Keyword(s):  
Water Supply ◽  
Optimal Allocation ◽  
Water Shortage ◽  
Optimal Operation ◽  
Allocation Rule ◽  
Storage Allocation ◽  
Reservoir Water ◽  
Allocation Rules ◽  
Water Demands ◽  
Supply Capacity

The priority principle of storage allocation rules of serial cascade reservoirs within an inter-basin water supply can reduce water loss and reduce water supply times. Reasonable balancing curves for reservoirs in parallel are proposed and the proportional distribution of water is determined to illustrate the optimal allocation rule for different scheduling periods of reservoirs. The mutation point and slope are used to describe the segmentation of reservoirs in parallel. In addition, the optimization model is established with the objective function to minimize times of water shortage while the particle swarm optimization algorithm based on the immune evolutionary algorithm is applied to calibrate the balancing curves. Finally, the relative optimal water supply rule is obtained, providing a larger water supply capacity and higher storage synchronization of member reservoirs. The reservoir groups downstream of Luan River are used as an example, with the results showing that the suggested method can effectively improve the operational performance and meet shared water demands in an inter-basin multi-reservoir. This article highlights the superior results obtained compared to the current storage allocation rules to meet shared water demands.

scholarly journals Modeling in Water Resources Management in East Nile Delta: Review

2020 ◽  
Vol 17 (2) ◽  
pp. 41-46
Author(s):  
Heba F. Abdelwahab ◽  
Elsayed M. Ramadan ◽  
Abdelazim M. Negm
Keyword(s):  
Water Resources ◽  
Water Supply ◽  
Water Reuse ◽  
Geographical Information Systems ◽  
Nile Delta ◽  
Mathematical Optimization ◽  
Water Shortage ◽  
Optimal Operation ◽  
Geographical Information ◽  
Modelling Studies

AbstractIt is acknowledged that providing a safe water supply for all countries is one of the major challenges of the twenty-first century. Egypt is one of the greatest countries affected in Africa and Middle East. The Nile is facing a major water shortage due to the limited water resources and the the demand is growing as a result high population growth and development in industrial and agricultural sectors. This paper has been motivated by the fact that there is no up-to-date literature review of the optimal operation of Water Resources. The analysis of the reviewed literature is structured along five broad branches: (1) Mathematical Optimization Modelling Studies, (2) Numerical Simulation Modelling Studies, (3) Geographical Information Systems “GIS” based Studies, (4) Ecological Studies, (5) Water Reuse Studies. This review is limited to surface water but groundwater has been inexplicitly included. The paper concludes the best way to identify knowledge to cover the gap between water supply and demands and to guide future researches on water resources planning and management.

scholarly journals Assessment of Future Climate Change Impact on Agricultural Water Supply Capacity in Geum River Basin Using SWAT and MODSIM-DSS

2020 ◽  
Vol 20 (6) ◽  
pp. 55-66
Author(s):  
Sehoon Kim ◽  
Chunggil Jung ◽  
Jiwan Lee ◽  
Jinuk Kim ◽  
Seongjoon Kim
Keyword(s):  
Water Supply ◽  
River Basin ◽  
Water Shortage ◽  
Future Climate Change ◽  
Industrial Water ◽  
Agricultural Water ◽  
Water Shortages ◽  
Daily Streamflow ◽  
Agricultural Water Supply ◽  
Supply Capacity

This study is to evaluate future agricultural water supply capacity in Geum river basin (9,865 km<sup>2</sup>) using SWAT and MODSIM-DSS. The MODSIM-DSS was established by dividing the basin into 14 subbasins, and the irrigation facilities of agricultural reservoirs, pumping stations, diversions, culverts and groundwater wells were grouped within each subbasin, and networked between subbasins including municipal and industrial water supplies. The SWAT was calibrated and validated using 11 years (2005-2015) daily streamflow data of two dams (DCD and YDD) and 4 years (August 2012 to December 2015) data of three weirs (SJW, GJW, and BJW) considering water withdrawals and return flows from agricultural, municipal, and industrial water uses. The Nash−Sutcliffe efficiency (NSE) of two dam and three weirs inflows were 0.55∼0.70 and 0.57∼0.77 respectively. Through MODSIM-DSS run for 34 years from 1982 to 2015, the agricultural water shortage had occurred during the drought years of 1982, 1988, 1994, 2001 and 2015. The agricultural water shortage could be calculated as 197.8 × 10<sup>6</sup> m<sup>3</sup>, 181.9 × 10<sup>6</sup> m<sup>3</sup>, 211.5 × 10<sup>6</sup> m<sup>3</sup>, 189.2 × 10<sup>6</sup> m<sup>3</sup> and 182.0 × 10<sup>6</sup> m<sup>3</sup> respectively. The big shortages of agricultural water were shown in water resources unit map number of 3004 (Yeongdongcheon) and 3012 (Geumgang Gongju) areas exceeding 25.1 × 10<sup>6</sup> m<sup>3</sup> and 47.4 × 10<sup>6</sup> m<sup>3</sup>. From the estimation of future agricultural water requirement using RCP 8.5 INM-CM4 scenario, the 3004 and 3012 areas showed significant water shortages of 26.1 × 10<sup>6</sup> m<sup>3</sup> (104.1%) and 50.9 × 10<sup>6</sup> m<sup>3</sup> (107.4%) in 2080s (2070∼2099) compared to the present shortages. The water shortages decreased to 23.6 × 10<sup>6</sup> m<sup>3</sup> (94.0%) and 43.3 × 10<sup>6</sup> m<sup>3</sup> (91.4%) below of the present shortages by developing irrigation facilities.

scholarly journals A joint-probabilistic programming method for water resources optimal allocation under uncertainty: a case study in the Beiyun River, China

2017 ◽  
Vol 20 (2) ◽  
pp. 393-409
Author(s):  
Xueping Gao ◽  
Yinzhu Liu ◽  
Bowen Sun
Keyword(s):  
Water Resources ◽  
Water Supply ◽  
Water Resource ◽  
Water Allocation ◽  
Optimal Allocation ◽  
Joint Probability ◽  
Water Shortage ◽  
Copula Functions ◽  
Local Water ◽  
Allocation Plans

Abstract In recent years, the lower reaches of the Beiyun River have suffered from growing water resource shortages due to the reduction of upstream water resource and drying up of the stream channel. More reasonable and scientifically based water allocation plans should be developed and implemented; however, uncertainties exist regarding the determination of water supply availability and spillage of extra water. To assess and manage regional water shortage, the combined effects of multiple water supply sources as well as the joint probability of typical events should be considered. The joint probability of water supply, considering upstream and local water supplies, was estimated through the copula functions. A multi-objective optimization model was then developed and solved by improved genetic algorithms to plan water resources allocation within a multi-source environment containing multiple competitive users. The framework is demonstrated, and represents a range of different water supply scenarios in terms of different probabilities of occurrence and constraint violations. The results showed that water allocation was greatly influenced by uncertainties, especially in upstream-local water supply. In addition, violating water-allocation constraint posed an extra uncertainty. This study facilitates the proposition of adaption allocation plans for uncertain environments, aiming to balance the shortage, economy, and reliability.

Optimization method for joint operation of a double-reservoir-and-double-pumping-station system: a case study of Nanjing, China

2019 ◽  
Vol 68 (8) ◽  
pp. 803-815 ◽  
Author(s):  
Zhihao Gong ◽  
Xiaohong Jiang ◽  
Jilin Cheng ◽  
Yi Gong ◽  
Xing Chen ◽  
...  
Keyword(s):  
Water Supply ◽  
Southern China ◽  
Optimization Method ◽  
Water Shortage ◽  
Optimal Operation ◽  
Water Supply Systems ◽  
Total Water ◽  
Pumping Station ◽  
Coupling Constraints ◽  
Model Features

Abstract Double-reservoir-and-double-pumping-station systems are commonly used for irrigation water supply in hilly regions of southern China. An optimization model for this water supply system is proposed to minimize water shortage. The model features few coupling constraints, including available water in the system and pumping volume limited by regional water rights. Dynamic programming was adopted to solve the subsystem and aggregation models. The results with the model and that with the standard operation policy were compared; the total water shortage was reduced by 87.7%, total water replenishment from outside was reduced by 2.2%, and total water spill was reduced by 60.6% for a system in Nanjing, China. The method may provide a reference for optimal operation of water supply systems comprising reservoirs and pumping stations.

scholarly journals Water demand predictions for megacities: system dynamics modeling and implications

Water Policy ◽  
2017 ◽  
Vol 20 (1) ◽  
pp. 53-76 ◽  
Author(s):  
Huanhuan Qin ◽  
Ximing Cai ◽  
Chunmiao Zheng
Keyword(s):  
Climate Change ◽  
Water Supply ◽  
System Dynamics ◽  
Water Demand ◽  
Water Shortage ◽  
Dynamics Modeling ◽  
Water Transfers ◽  
Water Demands ◽  
Linear Relationships ◽  
Basin Water

Abstract Sustaining the water supply in megacities is an enormous challenge. To address this challenge, it is especially important to predict water demand changes in megacities. This paper presents a system dynamics model to predict the future water demands of different sectors considering multiple factors, including population, structure of the economy, and water supply and use technologies. Compared with traditional methods such as the time series method and structure analysis method, the proposed model takes into account the interconnections, non-linear relationships and feedbacks between the various factors in a systems context. The model is applied to Beijing, a megacity with a population over 20 million and very limited water availability. It is found that the total water demand is likely to increase by at least 36.1% (up to 62.5%) by 2030 compared with that in 2011, and the water deficits vary from −0.36 × 109 to 1.80 × 109m3 in 2030. In addition, scenarios are designed to account for impacts associated with economic development, climate change and inter-basin water transfers. It is shown that climate change may have a large impact on the water supply reliability in Beijing. The water shortage problems can be alleviated via inter-basin water transfers.

scholarly journals Urban Multi-Source Water Supply in China: Variation Tendency, Modeling Methods and Challenges

Water ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1199 ◽  
Author(s):  
Peibing Song ◽  
Chao Wang ◽  
Wei Zhang ◽  
Weifeng Liu ◽  
Jiahui Sun ◽  
...  
Keyword(s):  
Water Supply ◽  
Optimal Allocation ◽  
Water Supply Systems ◽  
Source Water ◽  
Urban Water ◽  
Urban Water Supply ◽  
Modeling Methods ◽  
Supply Capacity ◽  
Supply Systems ◽  
Variation Tendency

Urban water resources are the basis for the formation and development of cities and the source of urban water supply. However, with the acceleration of urbanization and the explosion of urban populations, the contradiction between water supply and demand in some areas, especially in big cities, has become increasingly prominent. It is simply not sufficient to rely on local conventional water resources to meet urban water demand, and a single source water supply mode has a higher vulnerability, resulting in greater safety risks in urban or regional water supply systems. Therefore, giving full play to the water supply capacity and carrying out multi-source water supplies are necessary and urgent. This paper gives an overview of the optimal allocation of multi-source for urban water supply concerning variation tendency, modeling methods and facing challenges. Based on the variation tendency of water consumption and water supply pattern in China, Tianjin is taken as a typical city for systematically outlining water supply changes and cause analysis. Subsequently, the modeling methods for proposing the optimal allocation scheme are summarized, which are composed of defining the topological relation, constructing the mathematical model and seeking the optimal solution. Ultimately, the current and emerging challenges are discussed including emergency operation of multi-source water supply and joint operation of water quality and quantity. These summaries and prospects provide a valuable reference for giving full play to the multi-source water supply capacity and carrying out relevant research so as to propose the optimal allocation scheme in urban multi-source water supply systems.

The Development and Optimal Allocation of Water Resources in Zhidan Country Energy Chemical Industrial Park

2012 ◽  
Vol 260-261 ◽  
pp. 1120-1124
Author(s):  
Peng Kang Jin ◽  
Lei Zhang ◽  
Xian Bao Wang ◽  
Yong Ning Feng
Keyword(s):  
Surface Water ◽  
Water Resources ◽  
Water Supply ◽  
Optimal Allocation ◽  
Water Shortage ◽  
Underground Water ◽  
Industrial Park ◽  
Total Water ◽  
Recycled Water ◽  
Chemical Industrial Park

Focusing on the water shortage and water stress during the construction period of Zhidan energy chemical industrial park, the optimal allocation of water resources in Zhidan was conducted, in order to guarantee the water demand of the energy chemical industrial park. The optimal allocation of water resources is based on the advanced investigating and analyzing on the potential of four kinds of available water in this industrial park (surface water, underground water, the rain-flood and the recycled water). As well as the principle of optimal allocation is to reduce the conventional water exploitation and to increase the unconventional water resource utilization. The study result shows, the recent total water resources in this park is 12.39×104 m3/d and the forward total water resources is 13.39×104 m3/d, which can meet the requirement of both recent and forward water consumption for this park(4.40×104 m3/d and 5.16×104 m3/d). The optimal allocation of water resources program is to achieve the goal of reaching a recent water supply of 4.5×104 m3/d, among which the underground water is 0.95×104 m3/d, the surface water is 3.0×104 m3/d, the recycled water is 0.5×104 m3/d, the rain-flood water is 0.05×104 m3/d. While for the forward water supply of these 4 available kinds of water are 1.45×104 m3/d, 3.0×104 m3/d, 1.0×104 m3/d, 0.05×104 m3/d respectively with a total supply of 5.5 ×104 m3/d.

scholarly journals Optimal Allocation of Water Resources from the “Wide-Mild Water Shortage” Perspective

Water ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 1289 ◽  
Author(s):  
Huaxiang He ◽  
Mingwan Yin ◽  
Aiqi Chen ◽  
Junqiu Liu ◽  
Xinmin Xie ◽  
...  
Keyword(s):  
Water Resources ◽  
Water Supply ◽  
Optimal Allocation ◽  
Marginal Utility ◽  
Piecewise Linear ◽  
Water Shortage ◽  
Improved Method ◽  
Water Users ◽  
The Right

A major objective of the optimization of water resources allocation is to ensure the supply an adequate amount of water to users at the right time and maximize the utilization of water resources. However, in case of insufficient water supply, water shortage is likely to occur intensively for specific water users or in specific periods, referred to as a “concentrated water shortage”. The risk of a concentrated water shortage should be shared across a wider range of users and periods, so that it would have a less severe impact on each calculation unit in each period, which we refer to as the “wide-mild water shortage”. In this study, the nonlinear weight of the water supply objective function can be converted into a piecewise linear weight based on the law of diminishing marginal utility, making it possible to reduce or even eliminate the concentrated water shortage and thus making the allocation of water resources more reasonable. The case study in the Nen River basin in northeast China shows that the improved method results in a significant increase in water shortage units but a significant reduction in water shortage range. As a consequence, water shortage is more uniformly distributed from April to June, which contributes to solving the concentrated water shortage problem in May. However, it should be noted that to what extent the wide-mild water shortage can be realized depends not only on the marginal utility of water demand, but also on the available water supply and the regulative capacity of water supply projects. In spite of this, the improved method enables water to be supplied more suitably for users at the appropriate time, which contributes to improving the utilization of water resources and helping decision-makers better address the problem of concentrated water shortage.

scholarly journals Storage targets optimization embedded with analytical hedging rule for reservoir water supply operation

2017 ◽  
Vol 18 (2) ◽  
pp. 622-629 ◽  
Author(s):  
Jing Wang ◽  
Tiesong Hu ◽  
Xiang Zeng ◽  
Muhammad Yasir
Keyword(s):  
Water Supply ◽  
Water Shortage ◽  
Water Release ◽  
Reservoir Water ◽  
Hedging Rule ◽  
New Model ◽  
Proposed Model ◽  
Maximum Water ◽  
Period Model

Abstract A two-period model is widely used to derive optimal hedging rules for reservoir water supply operation, often with storage targets as the goal to conserve water for future use. However, the predetermined storage targets adopted in the two-period model result in shortsighted decisions without considering the control of long-term reservoir operation. The purpose of this paper is to propose a new model to seek a more promising water supply operation policy by embedding the hedging rule derived from the two-period model in an optimization program for storage targets. Two modules are incorporated in the new model: the two-period model for optimizing water release decisions in each period with given storage targets and the optimization module to determine the optimal values of storage targets for connecting different periods. The Xujiahe water supply system is taken as a case study to verify the effectiveness of the proposed model. The results demonstrate that the new model is superior to others based on standard operation policy or rule curves during droughts and reduces the maximum water shortage.

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