Modeling Conjunctive Use Operations and Farm Decisions with Two-Stage Stochastic Quadratic Programming

نویسندگان

  • Guilherme Fernandes Marques
  • Jay R. Lund
  • Richard E. Howitt
چکیده

This paper applies two-stage stochastic quadratic programming to optimize conjunctive use operations of groundwater pumping and artificial recharge with farmer’s expected revenue and cropping decisions. The two-stage programming approach allows modeling of water and permanent crop production decisions, with recourse for uncertain conditions of hydrology, annual crops, and irrigation technology decisions. Results indicate potential gains in expected net benefits and reduction in income variability from conjunctive use, with increase in high value permanent crops along with more efficient irrigation technology. DOI: 10.1061/ ASCE WR.1943-5452.0000045 CE Database subject headings: Water resources; Stochastic models; Agriculture; Economic factors; Irrigation. Author keywords: Water resources; Stochastic models; Conjunctive use; Agricultural economics.

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تاریخ انتشار 2010