1982
DOI: 10.1029/wr018i004p00753
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Conjunctive multibasin management: An optimal control approach

Abstract: The economic effects of conjunctive management of ground and surface water supplies for irrigation are formulated as an optimal control model. An empirical hydroeconomic model is estimated for the Yolo County district in California. Two alternative solution methodologies (analytic Riccatti and mathematical programing) are applied and compared. Results show the economic potential for interbasin transfers and the impact of increased electricity prices on optimal groundwater management.The conjunctive use of grou… Show more

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Cited by 69 publications
(41 citation statements)
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“…It is standard to assume that the coefficient of absolute risk aversion is decreasing in wealth. If A is not too convex (or is concave), (19) holds with "" sign, and f will be a convex function. Thus, by Proposition 3, farmers pump more, on average, when they have more precise information about the environment.…”
Section: Example 2 (Stock Externality Under Risk-aversion)mentioning
confidence: 99%
See 2 more Smart Citations
“…It is standard to assume that the coefficient of absolute risk aversion is decreasing in wealth. If A is not too convex (or is concave), (19) holds with "" sign, and f will be a convex function. Thus, by Proposition 3, farmers pump more, on average, when they have more precise information about the environment.…”
Section: Example 2 (Stock Externality Under Risk-aversion)mentioning
confidence: 99%
“…For example, for preferences that are characterized by constant relative risk aversion (CRRA), i.e., (19) may hold with either sign and so f may be either convex or concave. 10 In the CRRA case, absolute risk aversion is decreasing and convex in wealth,…”
Section: Example 2 (Stock Externality Under Risk-aversion)mentioning
confidence: 99%
See 1 more Smart Citation
“…Noel and Howitt (1982) integrated economic and hydrological processes into a multi-basin conjunctive use model to determine the optimal spatial and temporal allocation of water resources. Lefkoff and Gorelick (1990a) combined distributed parameter simulations of stream-aquifer interactions, salinity changes, and agronomic functions into a longterm optimization model to determine annual surface and ground water applications.…”
Section: Introductionmentioning
confidence: 99%
“…There are other excellent models in the literature with spatial and temporal components (e.g., Provencher 1993;Provencher and Burt 1994;Zeitouni and Dinar 1997;Reinelt 2005;Taghavi, Howitt, and Marino 1994;Dinar and Xepapadeas 1998;Noel, Gardner, and Moore 1980;Noel and Howitt 1982). However, they usually either add transport costs in the numerical simulations, after the analytical model has already been articulated, or their optimization objectives are different from ours, e.g., some minimize cost rather than maximize welfare; some use an exogenous water price; and some do not attempt to provide analytical results such as our equation (10).…”
Section: The Modelmentioning
confidence: 99%