Decision-Making in Water Resource Allocation

1975 ◽  
Vol 28 (3) ◽  
pp. 592
Author(s):  
Berton L. Lamb ◽  
Carl Brown ◽  
Joseph G. Monk ◽  
James R. Park
Keyword(s):  
Decision Making ◽  
Resource Allocation ◽  
Water Resource ◽  
Water Resource Allocation

scholarly journals Investigating a Water Resource Allocation Model by Using Interval Fuzzy Two-Stage Robust Planning for the Yinma River Basin, Jilin Province, China

Water ◽  
2021 ◽  
Vol 13 (21) ◽  
pp. 2974
Author(s):  
Hao Zhang ◽  
Wei He ◽  
Haihong Xu ◽  
Hao Yang ◽  
Zhixing Ren ◽  
...  
Keyword(s):  
Decision Making ◽  
Resource Allocation ◽  
Water Deficit ◽  
River Basin ◽  
Water Resource ◽  
Water Consumption ◽  
Economic Benefit ◽  
Planning Period ◽  
Allocation Model ◽  
Water Resource Allocation

This study introduces a fuzzy method to construct the interval fuzzy two-stage robust (ITSFR) water resource optimal allocation model based on the interval two-stage robust (ITSR) water resource optimal allocation model. Optimal economic benefit was considered the objective function, and the number of available water resources, sewage treatment capacity, reuse water treatment capacity, and total pollutant control were considered as the constraints. Under three five-year planning periods (2015–2020, 2020–2025, and 2025–2030) and according to the allocation levels of dry, flat, and abundant water periods (low, medium, and high discharge), the pollution absorption, upgrading projects, and water resource allocation schemes of various water sectors (industry, municipal life, ecological environment, and agricultural sector) in the Yinma River Basin were optimized. Water consumption quota is an interval value; high and low water consumption lead to a waste of water resources in the water consumption sector and restrict the development of the water consumption sector, respectively, which indicates that the water consumption quota has the characteristics of fuzzy uncertainty. Therefore, the optimization model was set as a fuzzy parameter in the solution process. The simulation results indicated that water quota can directly influence the income of water resource use, and thus, indirectly influence the economic benefit of the Yinma River Basin during the planning period. In the planning period of the Yinma River Basin, the economic benefit interval of dry, flat, and abundant water periods was reduced by 57%, 55%, and 48%, respectively, which provides a robust method with the advantages of a balanced economy, a stable system, reduced decision-making space, and significantly improved decision-making efficiency. Moreover, the emission ranges of typical pollution indicators (chemical oxygen demand (COD) and ammonia nitrogen) in the eight counties and urban areas of the Yinma River Basin were significantly reduced during the three planning periods (Dehui area had the highest overall reduction of ammonia nitrogen in the industrial sector during the second five-year planning period, up to 65%), which indicated a significant improvement in the decision-making efficiency. In addition to the Changchun City planning areas dominated by the agriculture production water sector, water resource allocation accounts for >80% of the regional water resource allocation; using the fuzzy optimization method after the Yinma River Basin water resource allocation model, the overall water deficit was significantly reduced; moreover, it was almost the same as in the first five-year period of Changchun City industry water deficit, which declined by up to 33%. The problem of resource waste caused by excessive water limiting in the water sector could be avoided because of the fuzzy water limit. To solve the prominent problem of water deficit in large- and medium-sized cities in the basin, industrial and ecological water sectors can implement measures such as water resource reuse. The total amount of water reuse in a medium year increases by up to 46% compared with that in the ITSR optimization model, which can be attributed to the reduced water consumption limit range of water consumption sectors after the fuzzy water consumption limit. This shows that more water can be allocated to meet the requirements of the water sector during decision-making. In conclusion, this study offers an effective scheme for decision makers to plan water resource allocation in the Yinma River Basin.

scholarly journals An Optimal Water Resource Allocation Mechanism Based on Ex-Post Verification and Reward in Huangbai River

Water ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 1588
Author(s):  
Hui Zhang ◽  
Jiaying Li
Keyword(s):  
Resource Allocation ◽  
Water Resources ◽  
Water Resource ◽  
Water Allocation ◽  
Allocation Rule ◽  
Allocation Efficiency ◽  
Water Resource Allocation ◽  
Water Users ◽  
Ex Post ◽  
Demand Information

Under the current administrative system (AS) in China, the water resources governor allocates limited water resources to several users to realize the utility of water resources, leading to a principal–agent problem. The governor (referred to as the principal and she) wishes to maximize water resource allocation efficiency, while each user (referred to as the agent and he) only wishes to maximize his own quota. In addition, the governor cannot know water demand information exactly since it is the water users’ private information. Hence, this paper builds an ex ante improved bankruptcy allocation rule and an ex post verification and reward mechanism to improve water allocation efficiency from the governor’s perspective. In this mechanism, the governor allocates water among users based on an improved bankruptcy rule before the water is used up, verifies users’ information by various approaches, and poses a negative reward to them if their information is found to be false after the water is used up. Then, this mechanism is applied to Huangbai River Basin. Research results show that the improved allocation rule could motivate users to report demand information more honestly, and ex post verification could motivate water users to further report their true information, which, as a result, could improve the water allocation efficiency. Furthermore, this mechanism could be applied to the allocation of other resources.

Optimality versus stability in water resource allocation

2014 ◽  
Vol 133 ◽  
pp. 343-354 ◽  
Author(s):  
Laura Read ◽  
Kaveh Madani ◽  
Bahareh Inanloo
Keyword(s):  
Resource Allocation ◽  
Water Resource ◽  
Water Resource Allocation

scholarly journals Multi-Water Source Joint Scheduling Model Using a Refined Water Supply Network: Case Study of Tianjin

Water ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1580 ◽  
Author(s):  
Shanghong Zhang ◽  
Jiasheng Yang ◽  
Zhongyu Wan ◽  
Yujun Yi
Keyword(s):  
Resource Allocation ◽  
Water Supply ◽  
Water Resource ◽  
Water Distribution ◽  
Distribution Area ◽  
Source Water ◽  
Supply Source ◽  
Water Resource Allocation ◽  
Regional Water

Water shortage problems are increasing in many water-deficient areas. Most of the current research on multi-source combined water supplies depends on an overall generalization of regional water supply systems, which are seldom broken down into the detail required to address specific research objectives. This paper proposes the concept of a water treatment and distribution station (water station), and generalizes the water supply system into three modules: water supply source, water station, and water user. Based on a topological diagram of the water network (supply source–station–user), a refined water resource allocation model was established. The model results can display, in detail, the water supply source, water supply quantity, water distribution engineering, and other information of all users in each water distribution area. This makes it possible to carry out a detailed analysis of the supply and demand of users, and to provide suggestions and theoretical guidance for regional water distribution implementation. Tianjin’s water resource allocation was selected as a case study, and a water resource allocation scheme for a multi-source, combined water supply, was simulated and discussed.

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