• Title of article

    Coupled hydrologicaleeconomic modelling for optimised irrigated cultivation in a semi-arid catchment of West Africa

  • Author/Authors

    H. Ahrends a، نويسنده , , M. Mast a، نويسنده , , Ch. Rodgers b، نويسنده , , H. Kunstmann a، نويسنده , , *، نويسنده ,

  • Issue Information
    ماهنامه با شماره پیاپی سال 2008
  • Pages
    11
  • From page
    385
  • To page
    395
  • Abstract
    A coupled model system, consisting of a distributed hydrological model and an economic optimisation model, communicating via model interfaces, is developed and applied to investigate regional interdependencies between irrigated agriculture and regional water balance and to identify optimised cultivation strategies. The coupled model is employed in the context of a case study in the Atankwidi catchment in the northern Guinea Sudan zone of West Africa. The physically based hydrologic model WaSiM [Schulla, J., Jasper, K., 2001] is used to simulate the water balance of this catchment including a small reservoireirrigation system complex. The economics of irrigated crop cultivation are optimized under hydrological constraints using the non-linear optimisation model GAMS-ECIM, encoded in GAMS (General Algebraic Modelling System). The coupled model system is utilized for empirical model testing under fictitious scenarios involving variable water availability for irrigation. Interdependencies between irrigation water application quantities and the water balance were identified and maximum agricultural profit was calculated using the coupled model system. The coupled model system is designed as decision-support tool for local authorities and agricultural stakeholders in the Ghanaian Upper East Region (UER).
  • Keywords
    Model coupling , Distributed hydrological modelling , Economic modelling , Irrigated agriculture , decision support , Non-linear Programming , West Africa
  • Journal title
    Environmental Modelling and Software
  • Serial Year
    2008
  • Journal title
    Environmental Modelling and Software
  • Record number

    958844