Your search found 15 records
1 Meyer, W. S.; Mateos, L.. 1990. Soil type effects on soybean crop water use in weighing lysimeters: III - Effects of lysimeter canopy height discontinuity on evaporation. Irrigation Science, 11(4):233-237.
(Location: IWMI-HQ Call no: PER Record No: H06888)
2 Mateos, L.; Smith, R. C. G.; Sides, R. 1991. The effect of soil surface temperature on the crop water stress index. Irrigation Science, 12(1):37-43.
(Location: IWMI-HQ Call no: PER Record No: H07601)
3 Mateos, L.; Berengena, J.; Orgaz, F.; Diz, J.; Fereres, E. 1991. A comparison between drip and furrow irrigation in cotton at two levels of water supply. Agricultural Water Management, 19(4):313-324.
(Location: IWMI-HQ Call no: PER Record No: H07872)
4 Mateos, L.; Mantovani, E. C.; Villalobos, F. J. 1997. Cotton response to non-uniformity of conventional sprinkler irrigation. Irrigation Science, 17(2):47-52.
Sprinkler irrigation ; Cotton ; Crop production ; Soil water ; Crop yield ; Water requirements ; Evapotranspiration ; Water measurement ; Water use efficiency
(Location: IWMI-HQ Call no: PER Record No: H020012)
5 Mateos, L.. 1998. Assessing whole-field uniformity of stationary sprinkler irrigation systems. Irrigation Science, 18(2):73-81.
(Location: IWMI-HQ Call no: PER Record No: H022494)
6 Mateos, L.; Young, C. A.; Wallender, W. W.; Carlson, H. L. 2000. Simulating spatially distributed water and salt balances. Journal of Irrigation and Drainage Engineering, 126(5):288-295.
Soil water ; Simulation models ; Crop production ; Irrigation requirements ; Drainage ; Evapotranspiration ; Water balance ; Water delivery ; Soil salinity ; Leaching / USA / California / Oregon / Upper Klamath Basin / Tulelake Irrigation District
(Location: IWMI-HQ Call no: PER Record No: H026874)
7 Oyonarte, N. A.; Mateos, L.; Palomo, M. J. 2002. Infiltration variability in furrow irrigation. Journal of Irrigation and Drainage Engineering, 128(1):26-33.
(Location: IWMI-HQ Call no: PER Record No: H029702)
8 Mateos, L.; López-Cortijo, I.; Sagardoy, J. A. 2002. SIMIS: The FAO decision support system for irrigation scheme management. Agricultural Water Management, 56(3):193-206.
Irrigation management ; Information systems ; Decision support tools ; Computer software ; Irrigation programs ; Irrigation requirements ; Irrigation scheduling ; Water delivery
(Location: IWMI-HQ Call no: PER Record No: H030259)
9 Coelho, M. B.; Villalobos, F. J.; Mateos, L.. 2003. Modeling root growth and the soil-plant-atmosphere continuum of cotton crops. Agricultural Water Management, 60(2):99-118.
Simulation models ; Plant growth ; Soil water ; Water balance ; Water potential ; Cotton ; Experiments
(Location: IWMI-HQ Call no: PER Record No: H032104)
10 Lorite, I. J.; Mateos, L; Fereres, E. 2004. Evaluating irrigation performance in a Mediterranean environment: I - Model and general assessment of an irrigation scheme. Irrigation Science, 23(2):77-84.
Irrigation programs ; Performance indexes ; Crop production ; Water requirements ; Soil water ; Water balance ; Sprinkler irrigation ; Simulation models ; Irrigation scheduling ; Water deficit ; Economic aspects / Spain / Andalusia / Genil Cabra Irrigation Scheme
(Location: IWMI-HQ Call no: P 6972 Record No: H035169)
11 Lorite, I. J.; Mateos, L; Fereres, E. 2004. Evaluating irrigation performance in a Mediterranean environment: II - Variability among crops and farmers. Irrigation Science, 23(2):85-92.
Irrigated farming ; Irrigation programs ; Assessment ; Performance indexes ; Crop production ; Sunflowers ; Simulation models ; Water balance ; Productivity / Spain / Andalusia / Genil Cabra Irrigation Scheme
(Location: IWMI-HQ Call no: P 6973 Record No: H035170)
(0.25 MB)
12 Mateos, L.; Oyonarte, N. A. 2005. A spreadsheet model to evaluate sloping furrow irrigation accounting for infiltration variability. Agricultural Water Management, 76(1):62-75.
(Location: IWMI-HQ Call no: PER Record No: H037134)
13 Lorite, I. J.; Mateos, L.; Fereres, E. 2005. Impact of spatial and temporal aggregation of input parameters on the assessment of irrigation scheme performance. Journal of Hydrology, 300:286-299.
Irrigation programs ; Performance evaluation ; Crop yield ; Irrigation requirements ; Water balance ; Simulation models
(Location: IWMI-HQ Call no: P 7369 Record No: H037174)
14 Playán, E.; Mateos, L.. 2006. Modernization and optimization of irrigation systems to increase water productivity. Agricultural Water Management, 80(1-3):100-116.
Irrigation systems ; Modernization ; Optimization ; Water scarcity ; Irrigation practices ; Irrigation management
(Location: IWMI-HQ Call no: PER Record No: H038423)
15 Belaud, G.; Mateos, L.; Aliod, R.; Buisson, Marie-Charlotte; Faci, E.; Gendre, S.; Ghinassi, G.; Gonzales Perea, R.; Lejars, C.; Maruejols, F.; Zapata, N. 2020. Irrigation and energy: issues and challenges. Irrigation and Drainage, 69(S1):177-185. (Special issue: Innovations in Irrigation Systems in Africa) [doi: https://doi.org/10.1002/ird.2343]
Irrigation efficiency ; Water use efficiency ; Food production ; Energy generation ; Nexus ; Irrigation systems ; Infrastructure ; Pumping ; Renewable energy ; Energy consumption ; Energy conservation ; Hydropower ; Solar energy / France / Languedoc-Roussillon Regional Hydraulic Network
(Location: IWMI HQ Call no: e-copy only Record No: H049658)
(0.28 MB)
Water-efficient agriculture has implied a large increase in energy consumption for irrigation in recent decades. In many irrigation systems, energy costs are now threatening their sustainability. However, new opportunities have arisen for the use of renewable energies in the irrigation sector. These are some of the aspects of the multifaceted multiple-actor ‘water–food–energy’ nexus. Technical, economic and environmental issues are linked in many ways, involving farmers, water users’ associations, energy suppliers, engineers and other stakeholders. The ICID session ‘Irrigation and energy’ triggered discussions on these multiple dimensions. This paper presents a synthesis of the presentations, discussions and conclusions.
Four main questions are addressed: How do irrigation productivity and sustainability of water resources exploitation change when farmers have access to energy? What do we know about energy efficiency in irrigation systems, at farm and collective network levels? How can this efficiency be optimized by using advanced technologies, modelling tools, improved management? Is energy production an opportunity for irrigation systems?
These questions have been posed based on multiple case studies from different parts of the world. The BRL network, in southern France, illustrates advanced strategies and opportunities to reduce energy consumption and develop energy production at a network level. General conclusions are drawn from this synthesis, illustrating trade-offs and synergies that can be identified in the irrigation sector at different scales, while opportunities for future research are proposed.
Four main questions are addressed: How do irrigation productivity and sustainability of water resources exploitation change when farmers have access to energy? What do we know about energy efficiency in irrigation systems, at farm and collective network levels? How can this efficiency be optimized by using advanced technologies, modelling tools, improved management? Is energy production an opportunity for irrigation systems?
These questions have been posed based on multiple case studies from different parts of the world. The BRL network, in southern France, illustrates advanced strategies and opportunities to reduce energy consumption and develop energy production at a network level. General conclusions are drawn from this synthesis, illustrating trade-offs and synergies that can be identified in the irrigation sector at different scales, while opportunities for future research are proposed.
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