Risk-based agricultural water allocation under multiple uncertainties

Li, Mo; Fu, Qiang; Singh, Vijay P.; Liu, Dong; Gong, Xinglong

doi:10.1016/j.agwat.2020.106105

Cited by 41 publications

(15 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Interval programming [16] Interval numbers [17] Intervals with random boundaries Stochastic programming [18] Probability distributions and fuzzy variables [19] Interval numbers with probability distributions [20] Interval numbers with probability distributions [21] Interval numbers with probability distributions Fuzzy programming [22] Fuzzy sets [23] Fuzzy sets [24] Fuzzy interval sets Deterministic programming - [25] Deterministic parameter - [ 26] Deterministic parameter - [ 27] Deterministic parameter sidering uncertainties, SO requires exact PDFs of uncertain parameters; however, lacked for most cases in practice due to the information barriers. In comparison, a RO problem starts with an uncertainty set, which can be shaped in multiple ways, e.g.…”

Section: Uncertain Programmingmentioning

confidence: 99%

See 1 more Smart Citation

Robust programming for basin-level water allocation with uncertain water availability and policy-driven scenario analysis

Yao

Hou

2021

Complex Intell. Syst.

View full text Add to dashboard Cite

Uncertainties from hydrological and meteorological environments constantly pose disturbances to water sustainability. Programming under such uncertainties aims at finding solutions to this risky condition. From the sight of uncertain water availability, this paper builds a water life cycle model to reduce the risks of inappropriate estimations of water availability within a river basin and incorporates the results in robust programming. Then, a policy-driven scenario analysis is conducted to provide managerial implications in terms of ongoing water-saving policies. With Min–Tuo river basin as the case, we finally reach the conclusions that: (1) Equity is a necessity when considering the water allocation in a river basin, which enables a more sustainable mode of local water use. (2) Local citizens’ willingness to follow the policies is a key to relieve the water pressure, while the progress of water-saving techniques could add to its effectiveness.

show abstract

Section: Uncertain Programmingmentioning

confidence: 99%

“…Basically, hierarchical problems can be transferred into a standard mathematical program by replacing each follower's problem with its Karush-Kuhn-Tucker (KKT) condition [41]. We applied this strategy and transferred problem (17) to problem (18) to make it solvable:…”

Section: Solution Proceduresmentioning

confidence: 99%

Robust programming for basin-level water allocation with uncertain water availability and policy-driven scenario analysis

Yao

Hou

2021

Complex Intell. Syst.

View full text Add to dashboard Cite

show abstract

“…Chen et al [17] established a synthetic model system conception for a shale gas-water supply chain considering system dynamics and two-stage stochastic risk-averse programming, which generated a weight factor to measure the decision-makers' averse attitude degree towards risk. Li et al [45], based on risk interval, proposed a stochastic optimization model aiming at many uncertainties in agricultural water resources. e application of CVaR and risk-aversion measures was considered.…”

Section: Literature Reviewmentioning

confidence: 99%

Decision-Making Optimization of Risk-Seeking Retailer Managed Inventory Model in a Water Supply Chain

Hou

Xin

2021

Discrete Dynamics in Nature and Society

View full text Add to dashboard Cite

Water retailer managed inventory is a classical and inevitable inventory management mode in present economic society. Stochastic models can more clearly explain demand uncertainty and are closely related to water supply chains. Risk preferences are widely valued in behavioral operation management. Related to the risk preferences in inventory management, the research on risk aversion is dominant, while risk-seeking is insufficient. Based on the model assumptions, the risk-seeking retailer’s optimal decision-making inventory model with stochastic demand in a water supply chain is studied. The risk-seeking retailer’s optimal inventory quantity, optimal inventory cost, supplier profit, retailer profit, and the profit of the entire water supply chain are derived. The validity of the equations is proved. The sensitivity analysis of the risk-seeking retailer’s optimal inventory decision-making is carried out. The risk level effects on the five dimensions, the retail price, wholesale price, unit shortage cost, unit inventory cost, and unit residual value, are displayed through numerical simulation. The optimal inventory quantity and optimal inventory cost of the risk-seeking retailer are obtained.

show abstract

“…Few studies brought energy consumption control for water sources optimization under considering energy-water nexus in water delivery, purification, allocation, and wastewater treatment. Meanwhile, the risk for the unbalanced water resources allocation among industrial sectors has been considered in the previous studies (Gallagher et al 2016;Hu et al 2016;Fu et al 2018;Li et al 2020). In these studies, the risk is directly expressed through the difference between the water resources requirement and the actual water amount.…”

Section: Introductionmentioning

confidence: 99%

Water management for industrial development, energy conservation, and subjective attitudes: a comprehensive risk-oriented model to explore the tolerance of unbalanced allocation problem

Xie

et al. 2021

Journal of Water and Climate Change

View full text Add to dashboard Cite

In this study, a new concept concerning comprehensive characteristics of water resources utilization as an index for risk modeling within the water allocation management model is proposed to explore the tolerance of unbalanced allocation problem under water–energy nexus. The model is integrated with interval two-stage stochastic programming for reflecting system uncertainties. These uncertainties are associated with the industrial production feature and the decision-making process. With respect to water–energy nexus, energy proposed is mainly focused on the consumption intensity of water purification and transportation from different water sources. The developed model is applied for industrial water resources allocation management in Henan province, China. Multiple scenarios related to disparate energy consumption control and the comprehensive risk levels are simulated to obtain a reasonable trade-off among system profit, comprehensive risk, and energy consumption. The results indicated that the strict comprehensive risk management or energy consumption control measures could cause damage to system benefit owing to decreasing the flexibility of industrial water resources distributions, and the preliminary energy consumption or the comprehensive risk control would be beneficial to moderate the conflict between industrial sectors and water resources, and accelerate industrial structure transformation in the future.

show abstract

Risk-based agricultural water allocation under multiple uncertainties

Cited by 41 publications

References 30 publications

Robust programming for basin-level water allocation with uncertain water availability and policy-driven scenario analysis

Robust programming for basin-level water allocation with uncertain water availability and policy-driven scenario analysis

Decision-Making Optimization of Risk-Seeking Retailer Managed Inventory Model in a Water Supply Chain

Water management for industrial development, energy conservation, and subjective attitudes: a comprehensive risk-oriented model to explore the tolerance of unbalanced allocation problem

Contact Info

Product

Resources

About