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.

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 Multi-objective optimal allocation of water resources based on ‘three red lines’ in Qinzhou, China

Water Policy ◽  
2020 ◽  
Vol 22 (4) ◽  
pp. 541-560
Author(s):  
Haopeng Guan ◽  
Lihua Chen ◽  
Shuping Huang ◽  
Cheng Yan ◽  
Yan Wang
Keyword(s):  
Resource Allocation ◽  
Water Resources ◽  
Water Resource ◽  
Optimal Allocation ◽  
Supply And Demand ◽  
Domestic Water ◽  
Nsga Ii ◽  
Allocation Model ◽  
Water Resource Allocation ◽  
Multi Objective

Abstract Water shortages and pollution emerge because of anthropogenic demands. Since 2011, ‘China's Most Stringent Water Resources Management’ (CMSWRM) has been comprehensively enacted in the country. This paper presents the characteristics of the ‘three red lines’ (TRL) and a multi-objective optimal allocation model based on the TRL constraint, considering the benefits for society, the economy, and the environment. This model had been applied to the reasonable allocation of water supply and demand in Qinzhou for the planning years of 2020 and 2030. Two water resource allocation scenarios for these years were configured by setting different chemical oxygen demand (COD) concentrations for wastewater discharge in the municipal, secondary, tertiary, and agricultural sectors. The gamultiobj function based on the NSGA-II algorithm was used to solve the model in MATLAB. The results indicate that if COD concentrations in each sector are not reduced, then restrictions on domestic water sources will be necessary, both in 2020 and 2030. The two water resource allocation scenarios in 2020 and 2030 can provide a reference for decision-makers in Qinzhou to implement CMSWRM.

Design of Water Resources Optimal Allocation Model of Sustainable Development

2014 ◽  
Vol 1010-1012 ◽  
pp. 1089-1094
Author(s):  
Chang Hu ◽  
Dang Sheng Li
Keyword(s):  
Sustainable Development ◽  
Water Resources ◽  
Evaluation System ◽  
Optimal Allocation ◽  
Supply And Demand ◽  
Allocation Model ◽  
The Sustainable Development ◽  
Water Resources Carrying Capacity ◽  
The Index System ◽  
Index Value

According to the relationship between the sustainable development and the optimal allocation of water resources, the evaluation system based on the sustainable development of optimal allocation of water resources is established in respect of the index system water resources carrying capacity, the social economic and ecological environment. Henan is taken as an example to evaluate the sustainable degree with actual index value from the regional water resources supply and demand balance of simulation results. Its results have a guiding significance for the water resources planning, management and sustainable utilization.

scholarly journals Study on Ecological Allocation of Mine Water in Mining Area based on Long Term Rainfall Forecast

2021 ◽  
Author(s):  
lei guanjun ◽  
Changshun Liu ◽  
wenchuan wang ◽  
Jun-xian Yin ◽  
Hao Wang
Keyword(s):  
Water Resources ◽  
Mine Water ◽  
Water Demand ◽  
Optimal Allocation ◽  
Utilization Efficiency ◽  
Annual Rainfall ◽  
Allocation Model ◽  
Ecological Water Demand ◽  
Rainfall Forecast

Abstract Based on the mine water produced by mining, in order to improve the ecological environment, the optimal allocation of mine water resources is studied. In order to reduce the uncertainty of the calculation results of ecological water demand, the wolf colony algorithm neural network model is used for long-term rainfall forecast. Combined with the forecast annual rainfall, the ecological water demand is classified and calculated. The results show that the ecological water demand based on rainfall forecast can reduce the allocation of water resources in wet years to ecological aspects, so that the surplus water resources can be used in industries, irrigation and other aspects that can create economic benefits, and improve the utilization efficiency of water resources. The ecological allocation model of mine water based on long-term rainfall forecast can reduce the uncertainty of regional water resources allocation based on rainfall forecast, which has good guiding significance and practical value for the optimal allocation of water resources in arid and water shortage areas.

Mathematical Models for Predicting and Managing Water Resources — The Case of China in 2025

2013 ◽  
Vol 448-453 ◽  
pp. 995-1001
Author(s):  
Ning Na Wang ◽  
Qin Lin Zhou
Keyword(s):  
Water Supply ◽  
Water Demand ◽  
Optimal Allocation ◽  
Supply And Demand ◽  
Decision Makers ◽  
Grey System ◽  
Allocation Model ◽  
Water Supply Management ◽  
Generate Solution ◽  
Major Factors

An effective management of water supply is critically significant to a countrys water utilities, and accurate prediction of water supply and demand is of key importance for water supply management. The objectives of this paper are to use Grey System Model (GSM) and Linear Regression Model to forecast the water demand and water supply respectively in China 2025, and then propose a new Optimal Allocation Model (OAM) to generate solution so that analysts and decision makers can gain insight and understanding. The two predictive models take into account four major factors including domestic development, agriculture, industries and eco-environment, calculating a deficit between water demand and water supply in China 2025. Then the OAM, which considers desalinization, irrigation saving and urban recycling, provides a feasible solution to fill the gap and an effectual management of water supply.

scholarly journals Study on Double-Level Allocation of Irrigation Water Rights

2021 ◽  
Author(s):  
Xinjian Guan ◽  
Qiongying Du ◽  
Wenge Zhang ◽  
Baoyong Wang
Keyword(s):  
Water Resources ◽  
Water Consumption ◽  
Optimal Allocation ◽  
Water Rights ◽  
Scientific Basis ◽  
Water Saving ◽  
Irrigation District ◽  
Allocation Model ◽  
Irrigation Area ◽  
Irrigation Districts

Abstract Establishing and perfecting the water rights system is an important way to alleviate the shortage of water resources and realize the optimal allocation of water resources. Agriculture is an important user of water in various water-consumption industries, the confirmation of water rights in irrigation districts to farmers is the inevitable requirement for implementing fine irrigation in agricultural production. In this paper, a double-level water rights allocation model of national canals – farmer households in irrigation district is established. It takes into account the current water consumption of the canal system, the future water-saving potential and the constraint of total amount control at the canal level. It takes into account the asymmetric information of farmer households’ population and irrigation area at the farmer household level. Furthermore, the Gini coefficient method is used to construct the water rights allocation model among farmer households based on the principle of fairness. Finally, Wulanbuhe Irrigation Area in the Hetao Irrigation Area of Inner Mongolia is taken as an example. The results show that the allocated water rights of the national canals in the irrigation district are less than the current because of water-saving measures and water rights of farmer household get compensation or cut respectively. The research has fully tapped the water-saving potential of irrigation districts, refined the distribution of water rights of farmers and can provide a scientific basis for the development of water rights allocation in irrigation districts and water rights transactions between farmers.

The Multi-Objective Optimization Allocation Model of Water Resources in Xiaokai River Irrigation Area

2015 ◽  
Vol 1092-1093 ◽  
pp. 1289-1294
Author(s):  
Xin Wang ◽  
Jing Xu ◽  
Ke Kong ◽  
Lei Yan ◽  
Fang Wu
Keyword(s):  
Water Resources ◽  
Optimization Model ◽  
Supply And Demand ◽  
Reference Value ◽  
Multi Objective Optimization ◽  
Allocation Model ◽  
Irrigation Area ◽  
Multi Objective ◽  
Groundwater Environment ◽  
Sequence Method

For the three big problems of water resources supply and demand contradiction, protection of groundwater environment and sediment over long distances in Xiaokai river irrigation area, the model of water utilization benefit maximization, groundwater level optimal control and the goal of sediment transport effect optimization model are established, and coupled into a multi-objective optimization model. The model is solved by using The delaminating sequence method, obtained the rational allocation plan of water resources in water years, and analyzing the rationality of the plan. The results show that, the scheme comprehensively considers the economic and environmental issues and has great reference value to promote sustainable development of irrigation area.

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.

A study of multi-objective dynamic water resources allocation modeling of Huai River

2015 ◽  
Vol 15 (4) ◽  
pp. 817-824 ◽  
Author(s):  
Jing Peng ◽  
Ximin Yuan ◽  
Lan Qi ◽  
Qiliang Li
Keyword(s):  
Water Resources ◽  
Dynamic Balance ◽  
Supply And Demand ◽  
Low Flow ◽  
Resources Allocation ◽  
Time Interval ◽  
Water Resources Allocation ◽  
Allocation Model ◽  
Multi Objective ◽  
Huai River

Water resources supply and demand has become a serious problem. Water resources allocation is usually a multi-objective problem, and has been of concern for many researchers. In the north of China, the lack of water resources in the Huai River Basin has handicapped the development of the economy, especially badly in the low-flow period. So it is necessary to study water resources allocation in this area. In this paper, a multi-objective dynamic water resources allocation model has been developed. The developed model took the overall satisfaction of water users in a time interval as the objective function, applied an improved simplex method to solve the calculation, considered the overall users' satisfaction variation with time, and followed the principle that the variation of the system satisfaction within adjacent periods of time must be minimal. The established model was then applied to the Huai River, for the present situation (2010), short-term (2020) and long-term (2030) planning timeframes. From the calculation results, the overall satisfaction in late May and mid September in 2030 was 0.65 and 0.70. After using the model allocation optimization, the overall satisfaction was improved, increasing to 0.78 and 0.79, respectively, thus achieving the dynamic balance optimization of water resources allocation in time and space. This model can provide useful decision support in water resources allocation, when it is used to alleviate water shortages occurring in the low-flow period.

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