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Title: Selecting areas for land use change in a catchment
Contributor(s): Dunstan, Neil  (author); Armstrong, Leisa (author); Diepeveen, Dean (author)
Publication Date: 2009
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Abstract: Some farming areas in Australia have been degraded by agricultural practises that result in rises in the water table that bring salt to the surface and reduce quality of runoff water and yield from pasture and crops. There is a need for a balanced choice of land uses that can reduce the salinity problem. A framework is proposed that uses catchment data and a hydrology model to predict areas with high rates of recharge and to identify sites for land use change.
Publication Type: Conference Publication
Conference Name: Fourth Indian International Conference on Artificial Intelligence (IICAI-09), Tumkur, India, 16-18 December, 2009
Source of Publication: Proceedings of the Fourth Indian International Conference on Artificial Intelligence (IICAI-09), p. 1114-1123
Publisher: IICAI: Indian International Conference on Artificial Intelligence
Place of Publication: India
Field of Research (FOR): 070101 Agricultural Land Management
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
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