Optimal allocation of water resources under natural and social complexities in Lincang, a border city of China and Burma

2020 ◽  
Author(s):  
DongNi Chen ◽  
YanPeng Cai
Keyword(s):  
Water Resources ◽  
Constraint Programming ◽  
Water Distribution ◽  
Optimal Allocation ◽  
Programming Model ◽  
Probability Distributions ◽  
Water Shortage ◽  
Economic Returns ◽  
Two Stage ◽  
Fuzzy Variables

<p><strong>A </strong>two-stage interval fuzzy credibility constraint programming method is proposed to deal with the uncertainties of fuzzy variables, discrete intervals and probability distributions, and to reflect the dynamic uncertainties and related decision-making processes. Lincang City is located in the southwest border of China. It is a frontier window and an important channel for China to face the "radiation center" of Southeast Asia and South Asia. It is the only intersection of the Tropic of cancer and the geographic water distribution lines of the Pacific Ocean and the Indian Ocean. Its hydrological and water resources are unique.Considering lincang city, yunnan province as the research object, and considering the uncertainty of the amount of available water resources within the region, a two-stage fuzzy credibility constraint programming model was built to optimize the allocation of regional water resources.The objective function of the model is to maximize the economic returns of the system. Fuzzy variables, discrete intervals and probability distribution are introduced to represent the multiple uncertainties in the system. The confidence level is set to solve the problem of fuzzy risk with violation probability. The results show that the model can effectively deal with the uncertainty of the allocation system, and reflect the trade-off between the system benefits and risks, so as to reduce the risk of water shortage and low economic penalty, and achieve efficient allocation of water resources.</p>

scholarly journals Optimal Allocation of Surface Water Resources at the Provincial Level in the Uzbekistan Region of the Amudarya River Basin

Water ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 1446
Author(s):  
Min Wang ◽  
Xi Chen ◽  
Ayetiguli Sidike ◽  
Liangzhong Cao ◽  
Philippe DeMaeyer ◽  
...  
Keyword(s):  
River Basin ◽  
Water Allocation ◽  
Water Distribution ◽  
Optimal Allocation ◽  
Probability Distributions ◽  
Economic Benefits ◽  
Aral Sea ◽  
Incoming Flow ◽  
Provincial Level ◽  
Water Users

Water users in the Amudarya River Basin in Uzbekistan are suffering severe water use competition and uneven water allocation, which seriously threatens ecosystems, as shown, for example, in the well-known Aral Sea catastrophe. This study explores the optimized water allocation schemes in the study area at the provincial level under different incoming flow levels, based on the current water distribution quotas among riparian nations, which are usually ignored in related research. The optimization model of the inexact two-stage stochastic programming method is used, which is characterized by probability distributions and interval values. Results show that (1) water allocation is redistributed among five different sectors. Livestock, industrial, and municipality have the highest water allocation priority, and water competition mainly exists in the other two sectors of irrigation and ecology; (2) water allocation is redistributed among six different provinces, and allocated water only in Bukhara and Khorezm can satisfy the upper bound of water demand; (3) the ecological sector can receive a guaranteed water allocation of 8.237–12.354 km3; (4) under high incoming flow level, compared with the actual water distribution, the total allocated water of four sectors (except for ecology) is reduced by 3.706 km3 and total economic benefits are increased by USD 3.885B.

Optimal Allocation of Water Resources Using a Two-Stage Stochastic Programming Method with Interval and Fuzzy Parameters

2018 ◽  
Vol 28 (3) ◽  
pp. 1107-1124 ◽  
Author(s):  
Tooraj Khosrojerdi ◽  
Seyed Hamed Moosavirad ◽  
Shahram Ariafar ◽  
Mahnaz Ghaeini-Hessaroeyeh
Keyword(s):  
Water Resources ◽  
Stochastic Programming ◽  
Optimal Allocation ◽  
Programming Method ◽  
Two Stage ◽  
Fuzzy Parameters

scholarly journals An Inventory-Theory-Based Inexact Multistage Stochastic Programming Model for Water Resources Management

2013 ◽  
Vol 2013 ◽  
pp. 1-15 ◽  
Author(s):  
M. Q. Suo ◽  
Y. P. Li ◽  
G. H. Huang ◽  
Y. R. Fan ◽  
Z. Li
Keyword(s):  
Water Resources ◽  
Stochastic Programming ◽  
Water Resources Management ◽  
Programming Model ◽  
Water Shortage ◽  
Multistage Stochastic Programming ◽  
Dynamic Features ◽  
Inventory Theory ◽  
Resources Management ◽  
Water Resources Systems

An inventory-theory-based inexact multistage stochastic programming (IB-IMSP) method is developed for planning water resources systems under uncertainty. The IB-IMSP is based on inexact multistage stochastic programming and inventory theory. The IB-IMSP cannot only effectively handle system uncertainties represented as probability density functions and discrete intervals but also efficiently reflect dynamic features of system conditions under different flow levels within a multistage context. Moreover, it can provide reasonable transferring schemes (i.e., the amount and batch of transferring as well as the corresponding transferring period) associated with various flow scenarios for solving water shortage problems. The applicability of the proposed IB-IMSP is demonstrated by a case study of planning water resources management. The solutions obtained are helpful for decision makers in not only identifying different transferring schemes when the promised water is not met, but also making decisions of water allocation associated with different economic objectives.

Research on the Feasibility of Water Diversion Project

2014 ◽  
Vol 580-583 ◽  
pp. 1874-1877
Author(s):  
Li Hua Zhang ◽  
Guang Hui Wang ◽  
Xiao Hui Hao
Keyword(s):  
Water Resources ◽  
Optimal Allocation ◽  
Water Shortage ◽  
The Other ◽  
Water Diversion ◽  
Actual Condition ◽  
Other Hand ◽  
Water Diversion Project ◽  
Engineering Measures ◽  
The One

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

scholarly journals Study on optimal allocation of water resources in Dujiangyan irrigation district of China based on improved genetic algorithm

2020 ◽  
Author(s):  
Ruihuan Li ◽  
Yingli Chang ◽  
Zhaocai Wang
Keyword(s):  
Genetic Algorithm ◽  
Water Resources ◽  
Optimal Allocation ◽  
Water Shortage ◽  
Vertical Dimension ◽  
Allocation Model ◽  
Genetic Operator ◽  
Irrigation Area ◽  
Use Of Resources ◽  
Constraint Model

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.

scholarly journals Application of Whale Optimization Algorithm in Optimal Allocation of Water Resources

2018 ◽  
Vol 53 ◽  
pp. 04019 ◽  
Author(s):  
Zhihong Yan ◽  
Shuqian Wang ◽  
Bin Liu ◽  
Xinde Li
Keyword(s):  
Water Resources ◽  
Optimization Algorithm ◽  
Optimal Allocation ◽  
Optimization Problems ◽  
Water Shortage ◽  
Whale Optimization Algorithm ◽  
Total Water ◽  
Water Users ◽  
Whale Optimization ◽  
Development And Utilization

In order to solve the water crisis, it is important to optimize the allocation of water resources. In this paper, the Whale Optimization Algorithm (WOA) is applied to the optimal allocation of water resources in Xingtai with the goal of maximum economic benefit and minimum total water shortage. The results show that the total water demand of different water users in each district is 26.94×108m3, the total allocated water is 19.83×108m3, the total water shortage is 7.11×108m3, and the water shortage rate was 26.39%. The lack of water is mainly concentrated in the primary industry. The result of the solution reflects the principle of water supply order and water use equity, which is in line with the actual development and utilization of water resources in the study area. It also verifies the feasibility of the whale optimization algorithm, such as less parameter adjustment, faster convergence, and better global optimization ability when solving water resources optimization problems.

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.

Application of Water Resources System Analysis Method in Optimal Allocation of Water Resources

2013 ◽  
Vol 664 ◽  
pp. 158-163
Author(s):  
Jie Bi
Keyword(s):  
Mathematical Model ◽  
Water Resources ◽  
System Analysis ◽  
Optimal Allocation ◽  
Programming Model ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Fuzzy Membership Function ◽  
Analysis Method ◽  
Water Resources System

Elaborate the optimal allocation of water resources system connotation, significance and the role of the sustainable utilization of water resources. Based on the water resources system analysis, discusses the system analysis method of water resources and the steps and mathematical model, and the linear programming model for the optimal allocation of water resources in the mathematical model, based on the fuzzy mathematics and the theory of multiple objective decision-making, fuzzy comprehensive evaluation combined with analytic hierarchy process, with the set value statistical and fuzzy membership function of indexes are calculated, determine the evaluation matrix, and then constructs a multi objective comprehensive evaluation model, and using computer to realize the optimal allocation of water resources, to provide a scientific basis.

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