An inter-seasonal agricultural water allocation system (SAWAS) |
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| Institution: | 1. CIMNE – Centre Internacional de Metodes Numerics en Enginyeria, Campus Nord UPC, Barcelona, Spain;4. Universidad Politécnica de Madrid, Department of Agroforestry Engineering, Madrid, Spain;5. Universidad Politécnica de Madrid, Department of Civil Engineering: Water, Energy and Environment, Madrid, Spain;1. Physics and Earth Sciences Course, Graduate School of Engineering and Science, University of the Ryukyus, 1 Senbaru, Nishihara, Okinawa 903-0213, Japan;2. Department of Physics and Earth Sciences, Faculty of Science, Tropical Biosphere Research Center, University of the Ryukyus, 1 Senbaru, Nishihara, Okinawa 903-0213, Japan;3. Graduate School of Integrated Sciences for Global Society, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan;4. Atmosphere and Ocean Research Institute, Department of Earth and Planetary Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa 277-8564, Japan;5. Geocoastal Research Group, School of Geosciences, The University of Sydney, NSW 2006, Australia |
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| Abstract: | This paper introduces a linear programming optimization model for analyzing inter-seasonal allocation of irrigation water in quantities and qualities and their impact on agricultural production and income. The SAWAS model is a developed version of the Agricultural Sub-Model (AGSM). In this research, we stress water scarcity as a problem that arises when water is not found in proper quantity and quality at the appropriate place and time. The model is designed to serve as a decision-making tool for planners of agricultural production on both the district and the regional level. It generates an optimal mix of water-demanding activities that maximizes the net agricultural income of the districts and gives the water demands under various prices. It also provides the planner with tools to carry out ‘what-if’ experiments and to generate optimal water demand curves. A principal feature of SAWAS is the use of demand and the benefits from water together with costs and optimization within the agricultural sector to specify the optimal usage of different water qualities. Hence the agricultural planner can use the outputs of SAWAS in order to bridge the gap between the limited water resources and the increased agricultural production in an area that suffers from severe water scarcity. The paper applies the SAWAS model to the Jordan Valley in Jordan. |
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