Modelling irrigation scheduling to analyse water management at farm level,during water shortages |
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| Institution: | 1. Cemgref – French Institute of Agricultural and Environmental Research, Irrigation Division, BP 5095, 34033 Montpelier Cedex, France;2. INRA ESR, 78850 Grignon, France;1. Resident, Division of Plastic Surgery, Department of Surgery, University of Washington; and Resident, The Craniofacial Center, Seattle Children''s Hospital, Seattle, WA;2. Fellow, Division of Plastic Surgery, Department of Surgery, University of Washington; and Fellow, The Craniofacial Center, Seattle Children''s Hospital, Seattle, WA;3. Scientist, The Craniofacial Center, Seattle Children''s Hospital, Seattle, WA;4. Assistant Professor, Division of Plastic Surgery, Department of Surgery, University of Washington; and Assistant Professor, The Craniofacial Center, Seattle Children''s Hospital, Seattle, WA;6. Fellow, Division of Plastic Surgery, Department of Surgery, University of Washington; and Fellow, The Craniofacial Center, Seattle Children''s Hospital, Seattle, WA;5. Professor, Division of Plastic Surgery, Department of Surgery, University of Washington; and Surgical Director, The Craniofacial Center, Seattle Children''s Hospital, Seattle, WA;1. University of Tartu, Institute of Chemistry, Ravila 14A, Tartu, 50411, Estonia;2. Tallinn University of Technology, Department of Chemistry, Akadeemia 15, Tallinn, 12618, Estonia;3. Tallinn University of Technology, Department of Gene Technology, Akadeemia 15, Tallinn, 12618, Estonia;4. University of Tartu, Institute of Biomedicine and Translational Medicine, Department of Pharmacology, Ravila 19, Tartu, 50411, Estonia;1. Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China;2. Shenyang Pharmaceutical University, Shenyang, China;3. Takarazuka University of Medical and Health Care, Hanayashiki-Midorigaoka, Takarazuka City, Japan;1. Sorbonne Universités, Université de Technologie de Compiègne, Génie Enzymatique et Cellulaire (GEC), UMR-CNRS 7025, CS 60319, 60203 Compiègne Cedex, France;2. Université de Technologie de Compiègne, Transformations Intégrées de la Matière Renouvelable (TIMR), EA4297, 60203 Compiègne Cedex, France;3. Micalis Institute, INRA, AgroParisTech, Université Paris-Saclay, 78350 Jouy-en-Josas, France;1. Science and Technology Division, Okinawa National College of Technology, 905 Henoko, Nago, Okinawa 905-2192, Japan;2. Makino Herbarium, Graduate School of Science, Tokyo Metropolitan University, 1-1 Minami-Ohsawa, Hachioji, Tokyo 192-0397, Japan;1. Process Systems Engineering Centre (PROSPECT), Research Institute of Sustainable Environment (RISE), Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia;2. Faculty of Chemical and Energy Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia;3. Department of Chemical and Biochemical Engineering, Indian Institute of Technology Patna, Bihta, Patna, 801103, Bihar, India;4. Department of Energy Science and Engineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India |
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| Abstract: | The area under irrigated corn has significantly increased in the Charente river basin during the last 10 years. Corn water requirements are maximum in the summer, the period with low water flows and highest environmental vulnerability. Periods of water shortage during which irrigation is temporarily forbidden occur frequently. To reduce water demand, specific water saving policies are required. This paper investigates irrigation management strategies at farm level during water shortages. A computer programme called IRMA is used to represent the farmer's decision making process. The model was calibrated and validated using information collected through a detailed monitoring of irrigation and farming practices of three representative farms during two irrigation seasons. The accuracy of the model was good; the difference between measured and simulated cumulative water volume used was slightly less than 8.5%. Analysis of daily simulated water demand shows that farmers have adopted different strategies to deal with water shortages, depending on the physical and socio-economic characteristics of their farms. The application presented in this paper stresses the potential of the proposed approach, if used on a larger farm sample, to compare the expected impact of different water management policies on water demand and irrigation practices at the farm level. |
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