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Modelling Water Blending—Sensitivity of Optimal Policies

Webby, R. B. / Green, D. A. / Metcalfe, A. V.

Abstract Water blending is modelled as a combination of a linear program and a stochastic dynamic program. Optimal policies are found for linear and integer-linear formulations using both an expected monetary value and conditional value-at-risk criterion. The sensitivity of these solutions to the discretisation over volume and over time is investigated.

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Modelling Water Blending—Sensitivity of Optimal Policies

Webby, R. B. / Green, D. A. / Metcalfe, A. V.

Abstract Water blending is modelled as a combination of a linear program and a stochastic dynamic program. Optimal policies are found for linear and integer-linear formulations using both an expected monetary value and conditional value-at-risk criterion. The sensitivity of these solutions to the discretisation over volume and over time is investigated.

Modelling Water Blending—Sensitivity of Optimal Policies

Webby, R. B. / Green, D. A. / Metcalfe, A. V.

Abstract Water blending is modelled as a combination of a linear program and a stochastic dynamic program. Optimal policies are found for linear and integer-linear formulations using both an expected monetary value and conditional value-at-risk criterion. The sensitivity of these solutions to the discretisation over volume and over time is investigated.

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Title:

Modelling Water Blending—Sensitivity of Optimal Policies

Contributors:

Webby, R. B. (author) / Green, D. A. (author) / Metcalfe, A. V. (author)

Published in:

Environmental Modeling & Assessment ; 14 ; 749-757

Publication date:

2008-07-31

Size:

9 pages

ISSN:

1573-2967 , 1420-2026

DOI:

https://doi.org/10.1007/s10666-008-9166-2

Type of media:

Article (Journal)

Type of material:

Electronic Resource

Language:

English

Keywords:

Water resource allocation , Linear programming , Stochastic dynamic programming , Conditional value-at-risk Environment , Environment, general , Applications of Mathematics , Mathematical Modeling and Industrial Mathematics , Math. Appl. in Environmental Science

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