scholarly journals Research on Optimal Allocation of Water Resources Based on Large-Scale System Decomposition and Coordination Model

2021 ◽  
Author(s):  
Zhuoran Luo ◽  
Jiahong Liu ◽  
Weiwei Shao ◽  
Yongxiang Zhang ◽  
Ruitao Jia

The construction of water resources optimal allocation model is the premise and foundation of solving and evaluating the optimal allocation model of water resources. The allocation of water resources includes not only the simple allocation of water resources, but also the protection of water resources and the analysis of the relationship between water supply and demand. Aiming at the problem of water shortage in the receiving area of water diversion from Hanjiang River to Weihe River, the large-scale system decomposition and coordination algorithm is used to optimally allocate the water use departments of each district of the water diversion area from Han to Wei River in Shaanxi Province, and establish the water diversion project from Han to Wei River. Optimal allocation model of water resources in the water receiving area. The results show that: in the 2030 planning level, the water supply of key cities, Xixian new district, medium/small cities, and industrial parks were 153.57, 368.16, 632.04, and 208.68 million m3, respectively, and the corresponding water shortage rate was 2.8%, 5.6%, 8.4%, 11.2%. The water supply sequence has a lower water shortage rate than the previous one, and the water shortage rate of the domestic water sector in key cities is only 1.2%. From the water shortage situation of various water departments in 2030, it can basically meet the water shortage of water receiving objects and effectively improve the water shortage in water receiving areas.

2018 ◽  
Vol 38 ◽  
pp. 03055
Author(s):  
Xi rui-chao ◽  
Gu yu-jie

Starting from the basic concept of optimal allocation of water resources, taking the allocation of water resources in Tianjin as an example, the present situation of water resources in Tianjin is analyzed, and the multi-objective optimal allocation model of water resources is used to optimize the allocation of water resources. We use LINGO to solve the model, get the optimal allocation plan that meets the economic and social benefits, and put forward relevant policies and regulations, so as to provide theoretical which is basis for alleviating and solving the problem of water shortage.


2013 ◽  
Vol 385-386 ◽  
pp. 429-432 ◽  
Author(s):  
Chun Xue Zhang ◽  
Li Lin Wang ◽  
Chao Wang ◽  
Shu Yi Yang ◽  
Xue Yi You

The water diversion project from Luanhe River to Tianjin is a large-scale project, which solved the water shortage of Tianjin city. Because the long water supply open channel along highroads, the traffic emergent incidents bring great potential dangers to the water supply of Tianjin. In this paper, the prediction model of traffic emergent incidents in YinLuan River Open Channel was built and the transferring of pollutants under typical scenes was simulated by EFDC model. The evolution and affective area of pollutant in open channel was obtained. The results provide a scientific basis for the decision makers to take effective measures.


Water ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 1289 ◽  
Author(s):  
Huaxiang He ◽  
Aiqi Chen ◽  
Mingwan Yin ◽  
Zhenzhen Ma ◽  
Jinjun You ◽  
...  

The rational allocation of water resources in the basin/region can be better assisted and performed using a suitable water resources allocation model. Rule-based and optimization-based simulation methods are utilized to solve medium- and long-term water resources allocation problems. Since rule-based allocation methods requires more experience from expert practice than optimization-based allocation methods, it may not be utilized by users that lack experience. Although the optimal solution can be obtained via the optimization-based allocation method, the highly skilled expert experience is not taken into account. To overcome this deficiency and employ the advantages of both rule-based and optimization-based simulation methods, this paper proposes the optimal allocation model of water resources where the highly skilled expert experience has been considered therein. The “prospect theory” is employed to analyze highly skilled expert behavior when decision-making events occur. The cumulative prospect theory value is employed to express the highly skilled expert experience. Then, the various elements of the cumulative prospect theory value can be taken as the variables or parameters in the allocation model. Moreover, the optimal water allocation model developed by the general algebraic modeling system (GAMS) has been improved by adding the decision reversal control point and defining the inverse objective function and other constraints. The case study was carried out in the Wuyur River Basin, northeast of China, and shows that the expert experience considered as the decision maker’s preference can be expressed in the improved optimal allocation model. Accordingly, the improved allocation model will contribute to improving the rationality of decision-making results and helping decision-makers better address the problem of water shortage.


2014 ◽  
Vol 580-583 ◽  
pp. 1874-1877
Author(s):  
Li Hua Zhang ◽  
Guang Hui Wang ◽  
Xiao Hui Hao

The research on the feasibility of Feicheng Water Diversion from Dawen River Project is based on a thorough investigation in the actual condition of water resources in Feicheng city. It is found that on the one hand this city has been suffering from water shortage, while on the other hand it has allowed most of the water flowing away in vain from Dawen River, which runs through this area. To resolve this contradiction, this research demonstrates the feasibility of networking of Dawen River and Shangzhuanglu Reservoir through engineering measures to realize the optimal allocation of water resources


2012 ◽  
Vol 518-523 ◽  
pp. 4165-4170
Author(s):  
Xiao Yu Song ◽  
Huai You Li ◽  
Wen Juan Shi

In this paper, based on the fact of water resources shortage, environmental degradation in Chanba River basin, using multi-objective optimization theory, we established the ecology-oriented water resources optimal allocation model and achieved the coupling between water quantity and quality. According to supply and demand of water resources in two levels of years (2020, 2030) and the guaranteed rate 75%, developed model parameters (coefficients), called the optimization function to solve it. The model is applied to Chanba River basin, indicating that the model is reasonable, efficient algorithms The optimal allocation model and the results reflect the concept of sustainable development for ecological, economic efficiency and help to improve water supply reliability, the sustainable use of water resources planning and management provides a basis for decision making.


Author(s):  
Ruihuan Li ◽  
Yingli Chang ◽  
Zhaocai Wang

Abstract In order to distribute water resources reasonably, it is convenient to make full use of resources and produce high economic and social benefits. Taking the Dujiangyan irrigation area of China as an example, we discuss the idea of establishing and solving the optimal allocation model of water resources. Aiming at this area, a two-dimensional constraint model with the highest economic value, the minimum water shortage, the minimum underground water consumption and the necessary living water demand is established. In order to solve this model, we improve the multi-population genetic algorithm, extend the genetic optimization of the algorithm into two dimensions, take the population as the vertical dimension and the individual as the horizontal dimension, and transforms the cross genetic operator to copy the genetic operator and the mutation operator to only act on the vertical dimension, so as to optimize the allocation of such discrete objectives of water resources in the irrigation area with the particular model suitable for the region. The distribution results successfully control the water shortage rate of each area at a low level, which save the exploitation of groundwater to the maximum extent and produce high economic benefits. The improved algorithm proposed in this paper has a kind of strong optimization ability and provides a new solution for the optimization problem with multiple constraints.


Author(s):  
Hang Li ◽  
Xiao-Ning Qu ◽  
Jie Tao ◽  
Chang-Hong Hu ◽  
Qi-Ting Zuo

Abstract China is actively exploring water resources management considering ecological priorities. The Shaying River Basin (Henan Section) serves as an important grain production base in China. However, conflicts for water between humans and the environment are becoming increasingly prominent. The present study analyzed the optimal allocation of water while considering ecological priorities in the Shaying River Basin (Henan Section). The ecological water demand was calculated by the Tennant and the representative station methods; then, based on the predicted water supply and demand in 2030, an optimal allocation model was established, giving priority to meeting ecological objectives while including social and comprehensive economic benefit objectives. After solving the model, the optimal results of three established schemes were obtained. This revealed that scheme 1 and scheme 2 failed to satisfy the water demand of the study area in 2030 by only the current conditions and strengthening water conservation, respectively. Scheme 3 was the best scheme, which could balance the water supply and demand by adding new water supply based on strengthening water conservation and maximizing the benefits. Therefore, the actual water allocation in 2030 is forecast to be 7.514 billion (7.514 × 109) m3. This study could help basin water management departments deal with water use and supply.


2013 ◽  
Vol 419 ◽  
pp. 842-847 ◽  
Author(s):  
Chun Xue Zhang ◽  
Wei Liu ◽  
Li Lin Wang ◽  
Chao Wang ◽  
Shu Yi Yang ◽  
...  

The water diversion project from Luanhe River to Tianjin is a large-scale project eliminating the water shortage of Tianjin city. Because the long water supply open channel along highroads, the traffic emergent incidents bring great potential dangers to the water supply of Tianjin. In this paper, the prediction model of traffic emergent incidents was built and the transportation of pollutants in Yinluan open channel with the effects of wind was simulated by EFDC model. The evolution and affective area of pollutant in Yinluan open channel was obtained. The results showed that the effects of wind on the transportation of pollutant in Yinluan open channel are strong when the wind direction is along the channel.


2017 ◽  
Vol 20 (2) ◽  
pp. 393-409
Author(s):  
Xueping Gao ◽  
Yinzhu Liu ◽  
Bowen Sun

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.


Sign in / Sign up

Export Citation Format

Share Document