Estimation of harvested water for Fars Province agriculture based on water balance modelling

Document Type : Research Paper

Authors

1 Department of Agronomy, Gorgan University of Agricultural Sciences and Natural Resources

2 Department of Agronomy, College of Plant Production, Gorgan University of Agricultural Sciences and Natural Resources

3 Agricultural Engineering Research Institute: Karaj, Iran

4 Department of Agronomy, Faculty of Plant Production, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran

5 Department of Agricultural Economics, Faculty of Agricultural Management, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran

Abstract

There has been a long-standing dispute between organizations associated with water resources (such as the Ministry of Energy and Agricultural Jihad) over the amount of withdrawal water for agriculture at the national and provincial levels. The purpose of this study was to estimate the withdrawal water for irrigated agriculture in Fars Province based on water balance modelling under the condition of “farmers". For this purpose, the SAWA system was used. The system estimates were obtained based on 10-year meteorological data (2011–2021) and 5-year crop area statistics (2017–2021). The largest crop area belonged to wheat (32%), fruits (24%), and barley (7%). Regarding net applied irrigation water volume, fruits (39%), wheat (14%), and rice (7%) had the greatest shares. The highest net applied irrigation water belonged to date, rice and pomegranate, respectively, with 23651, 14489, and 10160 m3.ha-1. Water balance analysis showed that the highest irrigation occurs in June (1024 million m3) and the lowest in December (70.8 million m3). The average volume of withdrawal water for agriculture was estimated at 6565 million m3 per year with a range of 6228–7076 million m3 per year, which was less than the estimate of the Ministry of Energy (i.e., 7991 million m3 per year). Part of this difference is due to the use of different statistical years.

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