Time-Varying Discrete Hedging Rules for Drought Contingency Plan Considering Long-Range Dependency in Streamflow

2019 ◽  
Vol 33 (8) ◽  
pp. 2791-2807 ◽  
Author(s):  
Seung Beom Seo ◽  
Young-Oh Kim ◽  
Shin-Uk Kang
Water ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 1311 ◽  
Author(s):  
Nikhil Bhatia ◽  
Roshan Srivastav ◽  
Kasthrirengan Srinivasan

During periods of significant water shortage or when drought is impending, it is customary to implement some kind of water supply reduction measures with a view to prevent the occurrence of severe shortages (vulnerability) in the near future. In the case of operation of a water supply reservoir, this reduction of water supply is affected by hedging schemes or hedging policies. This research work aims to compare the popular hedging policies: (i) linear two-point hedging; (ii) modified two-point hedging; and, (iii) discrete hedging based on time-varying and constant hedging parameters. A parameterization-simulation-optimization (PSO) framework is employed for the selection of the parameters of the compromising hedging policies. The multi-objective evolutionary search-based technique (Non-dominated Sorting based Genetic Algorithm-II) was used to identify the Pareto-optimal front of hedging policies that seek to obtain the trade-off between shortage ratio and vulnerability. The case example used for illustration is the Hemavathy reservoir in Karnataka, India. It is observed that the Pareto-optimal front that was obtained from time-varying hedging policies show significant improvement in reservoir performance when compared to constant hedging policies. The variation in the monthly parameters of the time-variant hedging policies shows a strong correlation with monthly inflows and available water.


2007 ◽  
Vol 34 (2) ◽  
pp. 360-367 ◽  
Author(s):  
Daniel O. Cajueiro ◽  
Benjamin M. Tabak

2021 ◽  
Vol 7 (8) ◽  
pp. 120
Author(s):  
Gregory Butler Vieira ◽  
Eliza Howard ◽  
Dung Hoang ◽  
Ryan Simms ◽  
David Alden Raymond ◽  
...  

We investigate maneuvering superparamagnetic microparticles, or beads, in a remotely-controlled, automated way across arrays of few-micron-diameter permalloy disks. This technique is potentially useful for applying tunable forces to or for sorting biological structures that can be attached to magnetic beads, for example nucleic acids, proteins, or cells. The particle manipulation method being investigated relies on a combination of stray fields emanating from permalloy disks as well as time-varying externally applied magnetic fields. Unlike previous work, we closely examine particle motion during a capture, rotate, and controlled repulsion mechanism for particle transport. We measure particle velocities during short-range motion—the controlled repulsion of a bead from one disk toward another—and compare this motion to a simulation based on stray fields from disk edges. We also observe the phase-slipping and phase-locked motion of particles engaging in long-range transport in this manipulation scheme.


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