Irrigation & Drainage Systems Engineering

Semu Ayalew

Publications

• Research Article
  Optimizing Cropping Pattern Using Chance Constraint Linear Programming for Koga Irrigation Dam, Ethiopia
  Author(s): Kassahun Tadesse Birhanu, Tena Alamirew, Megerssa Dinka Olumana, Semu Ayalew and Dagnachew AklogKassahun Tadesse Birhanu, Tena Alamirew, Megerssa Dinka Olumana, Semu Ayalew and Dagnachew Aklog
  
  Optimal cropping pattern decisions without consideration to water supply uncertainty would result in yield/benefit that is less than expected and probability of system failure in meeting a given irrigation demand. In this study, a chance constraint linear programming (CCLP) model was used for optimizing cropping pattern for major crops grown at Koga Irrigation scheme, Ethiopia. The model incorporated uncertainty of inflow at exceedance probability of 90%, 80%, 70%, 60% and 50%. The model objectives were yield and benefit maximizations subject to land and water availability constraints. Each objective function has four scenarios. The models were solved using LINGO14. The cropping patterns under yield and benefit maximization models were found to be identical under all scenarios. However, the cropping patterns of each model varied among scenarios. The study showed that the possibility o.. Read More»
  DOI: 10.4172/2168-9768.1000134

  Abstract PDF