scholarly journals An Optimal Allocation Model for Large Complex Water Resources System Considering Water supply and Ecological Needs

Water ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 843 ◽  
Author(s):  
Yaogeng Tan ◽  
Zengchuan Dong ◽  
Chuansheng Xiong ◽  
Zhiyu Zhong ◽  
Lina Hou

Water resources are very important to support the socio-economic development and maintain environmental health, which is a typical issue in water resources management. In this study, we developed an optimal allocation model for a large complex system of water resources by considering both water supply and river ecological benefits. The water supply benefit is defined as the minimum water deficit for different water users, while the ecological benefit involves making the reservoir release as close as possible to the natural streamflow. To solve this problem, the combination of decomposition-coordination (DC) and discrete differential dynamic programming (DDDP) methods were proposed. The proposed methods first decomposed a large system with multi-objective programming into subsystems, and the optimal solution of each subsystem was accomplished by the DDDP method to solve the system efficiently. Then the subsystems’ solutions were coordinated to figure out the near global optimal solution. The proposed models were tested in the Lingui and Yongfu County, Guilin City in China. Results show that the optimal reservoir release is close to the natural flow regime and there is a slight water deficit ratio in both level years. The water supply objective is more sensitive to the system model compared with the ecological objective, and the result of water allocation is optimized when the reservoir release is as close as possible to the natural flow based on the minimum water deficit. The proposed system model could facilitate sustainable water use and provide technical support for water resources management in economic development.

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.


2021 ◽  
Author(s):  
Ke Zhou

Abstract The standard cuckoo searching algorithm(SCSA)is a population intelligent optimization algorithm, which is also a new heuristic searching algorithm. The advantages of SCSA (such as convenient operation, heuristic searching, etc.) make it easy to find the optimal solution and maintain wider searching range. However, SCSA also has some drawbacks, such as long searching time, easy to fall into local optimum. In order to solve the problems existed in SCSA, in this paper, the improved standard cuckoo searching algorithm (ISCSA) was studied, which includes chaotic initialization and Gaussian disturbed algorithm. As a case study, taking economic, social and ecological benefits as the objective function, the multi-objective water resources optimal allocation models were constructed in Xianxiang Region, China. The ISCSA was applied to solve the water allocation models and the multi-objective optimal water supply scheme for Xinxiang region was obtained. The water resources optimal allocation schemes in the planning level year (2025) for 12 water supply sub-regions were predicted. The desirable eco-environment and benefits were achieved using the studied methods. The results show that the ISCSA has obvious advantages in the solution of water resources optimal allocation and planning.


2012 ◽  
Vol 446-449 ◽  
pp. 2703-2707 ◽  
Author(s):  
Wen Sun ◽  
Zhao Jing Zeng

The water resources is a complex coupling system,combined with the human social development and living environment. Water resources optimal allocation plays an important role in supporting the whole sustainable development of national economy in Weinan city as the solution about the shortage of urban water resources .In this paper, we take the urban water supply and the water resources system in Weinan city as the research object, through the analysis of the actual data, analyzing the elements and relationships between systems of urban water supply in Weinan city and the characteristics of the water resources project, adopting optimization theory of dynamic programming principle to build the Weinan city water resources optimization allocation model, and puts forward the method of benefit function to obtain the strategy plan for optimal allocation of water resources in the city.


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.


2020 ◽  
Vol 20 (7) ◽  
pp. 2903-2914
Author(s):  
Fanxiang Meng ◽  
Linqi Li ◽  
Tianxiao Li ◽  
Qiang Fu

Abstract Water conservation is a strategic choice for sustainable societal development. Rational planning and allocation of water resources is an effective way to improve the efficiency of water resource utilization. Taking Harbin as an example, this paper constructs a linear fractional programming model based on chance-constrained programming. The model can reflect the randomness of water inflow under different climatic conditions while taking into account the interests of different decision makers at the upper and lower levels and the two contradictory objectives of maximizing economic benefits and minimizing water demands to improve water distribution efficiency and reduce the complexity of water resource distribution systems. The results showed that under the three climatic scenarios of RCP4.5, RCP6.0, and RCP8.5, the agricultural water supply accounted for 90.04%, 87.66%, and 84.15% of the total regional water supply, respectively. In the process of building the model, considering the importance of sewage treatment in water safety evaluations, the cost of sewage treatment is included in the upper-level benefits of the model. The sustainable development of water resources should be guaranteed while rationally allocating water resources and pursuing economic benefits.


2003 ◽  
Vol 47 (7-8) ◽  
pp. 81-86 ◽  
Author(s):  
H. Bode ◽  
P. Evers ◽  
D.R. Albrecht

The Ruhr, with an average flow of 80.5 m3/s at its mouth, is a comparatively small tributary to the Rhine River that has to perform an important task: to secure the water supply of more than 5 million people and of the industry in the densely populated region north of the river. The complex water management system and network applied by the Ruhrverband in the natural Ruhr River Basin has been developed step by step, over decades since 1913. And from the beginning, its major goal has been to achieve optimal conditions for the people living in the region. For this purpose, a functional water supply and wastewater disposal infrastructure has been built up. The development of these structures required and still requires multi-dimensional planning and performance. Since the river serves as receiving water and at the same time as a source of drinking water, the above-standard efforts of Ruhrverband for cleaner water also help to conserve nature and wildlife. Ruhrverband has summed up its environmental awareness in the slogan: “For the people and for the environment”. This basic water philosophy, successfully applied to the Ruhr for more than 80 years, will be continued in accordance with the new European Water Framework Directive, enacted in 2000, which demands integrated water resources management in natural river basins, by including the good ecological status of surface waterbodies as an additional goal.


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