An Integrated Method for Interval Multi-Objective Planning of a Water Resource System in the Eastern Part of Handan

Suo, Meiqin; Peng-fei, WU; Zhou, Bin

doi:10.3390/w9070528

Cited by 9 publications

(7 citation statements)

References 34 publications

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“…On account of parameter uncertainties and objective inconsistency in multi-objective programming [38][39][40], the FILP model can well handle the uncertainty parameters denoted by interval numbers, and also coordinate the conflicts among different objective functions by introducing membership function λ, which makes the resulting solutions more scientific and reliable. The model is summarized as follows [26]:…”

Section: Fuzzy-interval Linear Programming (Filp)mentioning

confidence: 99%

“…Li et al [25] proposed a multi-objective water resources optimal allocation model under uncertainties by integrating constrained programming, semi-infinite programming, integer programming and interval linear programming. Suo et al [26] presented an approach for interval multiobjective planning by coupling fuzzy programming and improved two-step method, and then proved the objectivity and stability of this method by comparing it with the weighted sum method. Li et al [27] formulated a new two-stage random interval parameter fuzzy planning strategy model by considering various uncertainties in planning and management of water resources and water environment systems, which was then applied to reveal the relationship between local economic goals and environmental goals.…”

Section: Introductionmentioning

confidence: 99%

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A Fuzzy-Interval Dynamic Optimization Model for Regional Water Resources Allocation under Uncertainty

2022

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In this study, a fuzzy-interval dynamic programming (FIDP) model is proposed for regional water management under uncertainty by combining fuzzy-interval linear programming (FILP) and dynamic programming (DP). This model can not only tackle uncertainties presented as intervals, but also consider the dynamic characteristics in the allocation process for water resources. Meanwhile, the overall satisfaction from users is considered in the objective function to solve the conflict caused by uneven distribution of resources. The FIDP model is then applied to the case study in terms of water resources allocation under uncertainty and dynamics for the City of Handan in Hebei Province, China. The obtained solutions can provide detailed allocation schemes and water shortage rates at different stages. The calculated comprehensive benefits of economy, water users’ satisfaction and pollutant discharge (i.e., COD) are [2264.72, 2989.33] × 108 yuan, [87.50, 96.50] % and [1.23, 1.65] × 108 kg respectively with a plausibility degree (i.e., λopt±) ranging within [0.985, 0.993]. Moreover, the benefit from FIDP model under consideration of dynamic features is more specific and accurate than that of FILP model, whilst the water shortage rate from FIDP is [5.10, 9.10] % lower than that of FILP model.

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Section: Fuzzy-interval Linear Programming (Filp)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Fuzzy-Interval Dynamic Optimization Model for Regional Water Resources Allocation under Uncertainty

2022

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“…Over the past decades, a number of simulation and optimization methods were developed for reservoir water resources management under uncertainty [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. Among them, inexact two-stage stochastic programming (ITSP) is effective for analyzing policy scenarios, and taking corrective actions after a random event has taken place in order to minimize "penalties" that may appear due to incorrect policy [11].…”

Section: Introductionmentioning

confidence: 99%

An Inexact Inventory Theory-Based Water Resources Distribution Model for Yuecheng Reservoir, China

Suo

et al. 2020

Mathematical Problems in Engineering

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In this study, an inexact inventory theory-based water resources distribution (IIWRD) method is advanced and applied for solving the problem of water resources distribution from Yuecheng Reservoir to agricultural activities, in the Zhanghe River Basin, China. In the IIWRD model, the techniques of inventory model, inexact two-stage stochastic programming, and interval-fuzzy mathematics programming are integrated. The water diversion problem of Yuecheng Reservoir is handled under multiple uncertainties. Decision alternatives for water resources allocation under different inflow levels with a maximized system benefit and satisfaction degree are provided for water resources management in Yuecheng Reservoir. The results show that the IIWRD model can afford an effective scheme for solving water distribution problems and facilitate specific water diversion of a reservoir for managers under multiple uncertainties and a series of policy scenarios.

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“…For example, Fu et al adopted a two-stage, interval, stochastic planning method, introduced a risk preference, and carried out research on water resource allocation optimization, using an uncertain stochastic planning model based on risk values for the Sanjiang Plain [25]. Suo et al proposed a comprehensive solution method for multi-objective, interval programming using fuzzy linear programming and an interactive two-step method, and applied this method to the case study of uncertain multi-water resource joint scheduling planning in eastern Handan, China [26]. In some studies, the above simulation was carried out using typical schemes for the interaction between multiple water sources in high-flow and low-flow years.…”

Section: Introductionmentioning

confidence: 99%

Effect of Frequency of Multi-Source Water Supply on Regional Guarantee Rate of Water Use

Zhang¹,

Yang²,

Xu³

et al. 2019

Water

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Multi-source, combined water supply models play an increasingly important role in solving regional water supply problems. At present, in the area of regional water supply, models are mainly used to study the problem of overall water guarantee rate, and do not take into account the impact of the uncertainty of multi-source water supplies on water supply risk. There is also a lack of research on how changes in multi-source water supplies affect sub-region and sub-user water guarantee rates. To address this knowledge gap, the encounter probability of different frequencies and a refined water resources allocation model of multi-source supplies were used. Using Tianjin as an example, this paper studies the quantitative relationship between the uncertainty of multi-source water inflows and the regional guarantee rate of water use. The objectives of the study are to analyze the changing trend of the water shortage rate and the main body of water supply in each region, and to quantitatively describe the influence of the variation of multi-source water supply on the main body of water supply for users. The results show that under the same requirement of guarantee rate for water use, as the number of water diversion sources increase, the probability of water supply meeting the water use rate increases significantly, and the risk to water supplies decreases. At the same time, suburban areas have a low dependence on external water supplies, while the change in the quantity of external water sources has a great impact on the water supply of the Zhongxinchengqu and Binhaixiqnu areas. The distribution and main body of water supply will change for different water users. Therefore, it is important to ensure a stable supply of external water for maintaining the guarantee rate of regional water use.

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An Integrated Method for Interval Multi-Objective Planning of a Water Resource System in the Eastern Part of Handan

Cited by 9 publications

References 34 publications

A Fuzzy-Interval Dynamic Optimization Model for Regional Water Resources Allocation under Uncertainty

A Fuzzy-Interval Dynamic Optimization Model for Regional Water Resources Allocation under Uncertainty

An Inexact Inventory Theory-Based Water Resources Distribution Model for Yuecheng Reservoir, China

Effect of Frequency of Multi-Source Water Supply on Regional Guarantee Rate of Water Use

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