Establishing and Application of Ecology-Oriented Water Resources Optimal Allocation Model in Chanba River Basin

2012 ◽  
Vol 518-523 ◽  
pp. 4165-4170
Author(s):  
Xiao Yu Song ◽  
Huai You Li ◽  
Wen Juan Shi
Keyword(s):  
Water Resources ◽  
River Basin ◽  
Optimal Allocation ◽  
Supply And Demand ◽  
Sustainable Use ◽  
Optimization Theory ◽  
Model Parameters ◽  
Allocation Model ◽  
Optimal Allocation Model ◽  
Water Resources Optimal Allocation

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.

scholarly journals The optimal allocation of water resources oriented to prioritizing ecological needs using multiple schemes in the Shaying River Basin (Henan Section), China

2021 ◽  
Author(s):  
Hang Li ◽  
Xiao-Ning Qu ◽  
Jie Tao ◽  
Chang-Hong Hu ◽  
Qi-Ting Zuo
Keyword(s):  
Water Resources ◽  
Water Supply ◽  
River Basin ◽  
Water Conservation ◽  
Water Demand ◽  
Optimal Allocation ◽  
Supply And Demand ◽  
Allocation Model ◽  
Water Supply And Demand ◽  
Ecological Objectives

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.

scholarly journals Optimal Allocation Model of Water Resources Based on the Prospect Theory

Water ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 1289 ◽  
Author(s):  
Huaxiang He ◽  
Aiqi Chen ◽  
Mingwan Yin ◽  
Zhenzhen Ma ◽  
Jinjun You ◽  
...  
Keyword(s):  
Water Resources ◽  
Prospect Theory ◽  
Optimal Allocation ◽  
Cumulative Prospect Theory ◽  
Resources Allocation ◽  
Simulation Methods ◽  
Allocation Model ◽  
Rule Based ◽  
Highly Skilled ◽  
Optimal Allocation Model

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.

scholarly journals Improved grey prediction method for optimal allocation of water resources: a case study in Beijing in China

2018 ◽  
Vol 19 (4) ◽  
pp. 1044-1054 ◽  
Author(s):  
Baohui Men ◽  
Zhijian Wu ◽  
Huanlong Liu ◽  
Zehua Hu ◽  
Yangsong Li
Keyword(s):  
Water Resources ◽  
Optimal Allocation ◽  
Moving Average ◽  
Supply And Demand ◽  
Prediction Method ◽  
Original Data ◽  
Utilization Efficiency ◽  
Grey Prediction ◽  
Average Technique ◽  
Allocation Model

Abstract Water shortages and the deterioration of water quality in the natural environment have a negative effect on social development of many countries. Therefore, optimizing the allocation of water resources has become an important research topic in water resources planning and management. An essential step in improving the utilization efficiency of water resources is the prediction of water supply and demand. Because it has a great number of merits, the grey prediction method has been widely used in population prediction and temperature prediction. However, it also has limitations such as low prediction precision since original data seriously fluctuates. This paper aims to handle the sample values by an innovative method utilizing moving-average technique (MA) model and optimizing the background values to make them more typical. Results proved that the prediction accuracy of the traditional model was effectively improved by the proposed method. The proposed model was then applied in the multi-objective planning to establish an optimal water resources allocation model for Beijing in the short-term (2020) planning timeframe, including local water resources, transfer water volumes, and other water supplies. The results indicated that industrial and agricultural water use could be well met, while domestic and environmental water resources may face a shortage.

Water Resources Optimal Allocation in Middle Line of South to North Water Diversion Project of Hebei, China Using AHP-LP

2014 ◽  
Vol 937 ◽  
pp. 559-564
Author(s):  
Tai Zhong Gao ◽  
Can Can Zhang ◽  
Hui Cong Pang
Keyword(s):  
Water Resources ◽  
Optimal Allocation ◽  
Supply And Demand ◽  
Water Shortage ◽  
Hebei Province ◽  
Water Diversion ◽  
Middle Line ◽  
The Sustainable Development ◽  
North Water ◽  
Water Resources Optimal Allocation

Water resource is irreplaceable as one kind of important natural resources and strategic economic resources. Water resources optimal allocation is an important means to solve the problem of water resources to keep the relative balance of the supply and demand. For ensuring the sustainable development, according to the South-to-North Water Transfer Project, and aiming at the maximum synthesized benefits, the model for water resources optimal allocation was established. A lot of factors were considered. The cause function, restriction and parameters were discussed. At last, optimal allocation of water resources in the middle line of Project in Hebei Province was studied under the guarantee of 95 % in 2010 and 2014. The results showed that the Project can solve the serious water shortage in Hebei province, North China.

scholarly journals Analysis and Research on the Optimal Allocation of Regional Water Resources

2018 ◽  
Vol 38 ◽  
pp. 03055
Author(s):  
Xi rui-chao ◽  
Gu yu-jie
Keyword(s):  
Water Resources ◽  
Basic Concept ◽  
Optimal Allocation ◽  
Present Situation ◽  
Water Shortage ◽  
Social Benefits ◽  
Allocation Model ◽  
Multi Objective ◽  
Optimal Allocation Model ◽  
Regional Water

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.

Water Resources Optimal Allocation Based on Multi-Objective Differential Evolution Algorithm

2013 ◽  
Vol 278-280 ◽  
pp. 1271-1274 ◽  
Author(s):  
Ke Peng Feng ◽  
Jun Cang Tian
Keyword(s):  
Water Resources ◽  
Differential Evolution ◽  
Optimal Allocation ◽  
Search Algorithm ◽  
Differential Evolution Algorithm ◽  
Population Based ◽  
Allocation Model ◽  
Multi Objective ◽  
Regional Water ◽  
Water Resources Optimal Allocation

Differential evolution is a simple and powerful globally optimization new algorithm. It is a population-based, direct search algorithm, and has been successfully applied in various fields. Optimal allocation of water resources is an important part of the planning of water resources. Traditional planning methods prove insufficient for the multi-objective system of water resources. In this paper, multi-objective differential evolution(MODE) algorithm applied to the regional water resources optimal allocation, through definition of economic, social, Eco-environmental three objective function and the constraints, the regional water resources optimal allocation model has been established, and then multi-objective genetic algorithm is used to solve the model .The model gets different results for optimal allocation water resources of Ningxia in 2030(Guarantee rate of water supply 50% and 75%). The result of example proves that the method is reasonable and feasible in the application of region water resources optimal allocation.

Sign in / Sign up

Export Citation Format

Share Document