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A substantial amount of gap filling has been performed on the data on water abstraction for irrigation. First, a mean factor between utilised agricultural areas and irrigated areas has been used to fill the gaps in the data on irrigated areas. Then, a multiannual mean factor of water density (m3/ha) in irrigated areas per country has been used to fill the gaps in the data on water abstraction for irrigation.
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Comment AT: Irrigation data for Austria mainly rely on the very limited irrigation volumes reported for the Farm Structure Survey in 2010. In 2010 the climate was wetter than on average especially in the eastern part of the country where the irrigation areas are situated.
Thank you for your comment. Data gap on water abstraction particularly for agriculture and irrigation is exposing a big challenge for accurately calculating the actual pressure of agriculture on renewable freshwater resources. We have recently started using the Artificial Intelligence tools to undertake potential correlation among multi-parametric variables of drivers and pressures in water use by agriculture to improve the data quality. The quality of the data , however, can only be improved if more reported data would be available. We are working on to further improve all the sectorial data input for water in the short term for more accurate results.