Water Footprint Analysis of Native Tapioca Starch Production of Factoryin Ubon Ratchathani Province
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Creator Sopita Somkid
Title Water Footprint Analysis of Native Tapioca Starch Production of Factoryin Ubon Ratchathani Province
Contributor Anon Malipan, Bencharat Lertkankasuk
Publisher Department of Agriculture
Publication Year 2565
Journal Title Thai Agricultural Research Journal
Journal Vol. 40
Journal No. 2
Page no. 213-220
Keyword water footprint, cassava, native tapioca starch
URL Website https://at.doa.go.th/journal
Website title Thai Agricultural Research Journal
ISSN 0125-8389
Abstract The water footprint of starch factory in native tapioca starch production is one of the important requirements of the upcoming trends in agricultural exports. Tapioca starch is an important agricultural commodity export of Thailand. Water footprints of world and the county's native tapioca starch are relatively high, but there are apparent variations of the figures among different locations within the country. This research aimed at establishing a water footprint for 1 ton of native tapioca production in Ubon Ratchathani Province. It was caried out by collecting data by interviewing and questioning and analyzing data for water footprint of native starch production cassava of a starch factory in Ubon Ratchathani Province in 2017/2018 to 2020. We found that to produce 1 ton of native starch uses an average 4.35 tons of cassava fresh root, calculated from the average 23% of starch content in the fresh root. The highest water consumption was in the fresh root washing process which used up to 57% of the total water consumption. When analyzing the actual water consumption and the virtual water volume in the starch production, we found that water footprint of 1 ton native starch in the factory was 38.1 m3 which could be separated into green, blue and grey at 0, 18.7 and 12.5 m3 respectively. When added to water footprint of raw materials of 253 m3 /ton fresh root, the native tapioca starch products 1 ton had the total water footprint of 1,132.2 m3 , separated into green, blue and grey at 925, 18.7 and 187.5 m3 , respectively. The database obtained from this research will support water footprint product labeling data, improve water consumption management in the processing process and enable environmentally friendly production in the future.
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