COMPUTER 10: Lesson 7 - File Storage and Online Collaboration
Optimizing Irrigation Water Management on the Global Change Context in a Mediterranean Region
1. Optimizing Irrigation Water Management on the Global Change Context in a Mediterranean Region CONSEJERÍA DE AGRICULTURA Y PESCA Empresa Pública Desarrollo Agrario y Pesquero
2. Objetive To analyse the impact of Water Framework Directive, the Common Agricultural Policy Reform and the Climate Change on the management, the productivity and the economic efficiency of irrigation at farm level. CONSEJERÍA DE AGRICULTURA Y PESCA Empresa Pública Desarrollo Agrario y Pesquero
3. Location: Central Part of the Guadalquivir Valley Crop: Irrigated Grain Maize CONSEJERÍA DE AGRICULTURA Y PESCA Empresa Pública Desarrollo Agrario y Pesquero
4. Methodology CONSEJERÍA DE AGRICULTURA Y PESCA Empresa Pública Desarrollo Agrario y Pesquero Crop Data Irrigation Data Socioeconomic Data Climatic Data WADI Political Scenarios CAP+WFD Climate Change Scenarios DSSAT Model Hydraulic Irrigation Model Seasonal Economic Optimization Model GCM Model & Downscaling INTERFACE
5. Crop, Soil and Climatic Data CONSEJERÍA DE AGRICULTURA Y PESCA Empresa Pública Desarrollo Agrario y Pesquero
7. The model proposed by Allen et al. (1998) was used to calculate a daily water balance in the soil-plant-atmosphere complex. Potential and actual evapotranspiration were estimated by the method of dual crop coefficients, taking into account the water stress conditions. Irrigation Optimisation Model CONSEJERÍA DE AGRICULTURA Y PESCA Empresa Pública Desarrollo Agrario y Pesquero
8. A mathematical model was developed in order to simulate all phases (advance, storage, depletion and recession) of furrow irrigation with free runoff. For drip irrigation system modelling, an Application Efficiency of 90%, a drip discharge of 2.3 L/h and a density of 6666 drips/ha were assumed. Irrigation Optimisation Model CONSEJERÍA DE AGRICULTURA Y PESCA Empresa Pública Desarrollo Agrario y Pesquero
9. The Jensen’s model (Jensen, 1968) was used to estimate the actual crop yield: In order to relate the yield response factors Kyi , calibrated from DSSAT results, to the sensitivity index of Jensen’s model, a polynomial function proposed by Kipkorir and Raes (2002) was used. Irrigation Optimisation Model CONSEJERÍA DE AGRICULTURA Y PESCA Empresa Pública Desarrollo Agrario y Pesquero
10. Dynamic Programming was implemented as the method for economic optimisation, in which each irrigation event was considered as a stage of the process. As objective function, the maximization of net profit of agricultural production was defined. Irrigation Optimisation Model CONSEJERÍA DE AGRICULTURA Y PESCA Empresa Pública Desarrollo Agrario y Pesquero
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13. Agricultural and Water Policies Combined Scenarios CONSEJERÍA DE AGRICULTURA Y PESCA Empresa Pública Desarrollo Agrario y Pesquero
14. Irrigation Modernization Scenarios CONSEJERÍA DE AGRICULTURA Y PESCA Empresa Pública Desarrollo Agrario y Pesquero Basic Level Medium Level High Level
15. Climate Change and Crop Water Requirements CONSEJERÍA DE AGRICULTURA Y PESCA Empresa Pública Desarrollo Agrario y Pesquero
16. Climate Change and Crop Water Requirements CONSEJERÍA DE AGRICULTURA Y PESCA Empresa Pública Desarrollo Agrario y Pesquero
17. Climate Change and Crop Water Requirements CONSEJERÍA DE AGRICULTURA Y PESCA Empresa Pública Desarrollo Agrario y Pesquero
18. Climate Change and Crop Water Requirements CONSEJERÍA DE AGRICULTURA Y PESCA Empresa Pública Desarrollo Agrario y Pesquero
19. Crop Production Function CONSEJERÍA DE AGRICULTURA Y PESCA Empresa Pública Desarrollo Agrario y Pesquero
20. Net Profit, Economic Efficiency... CONSEJERÍA DE AGRICULTURA Y PESCA Empresa Pública Desarrollo Agrario y Pesquero
24. Optimizing Irrigation Water Management on the Global Change Context in a Mediterranean Region CONSEJERÍA DE AGRICULTURA Y PESCA Empresa Pública Desarrollo Agrario y Pesquero