Selecting Areas for Land Use Change in a Catchment

Document Type

Conference Proceeding

Publisher

Indian International Conference on Artificial Intelligence

Faculty

Faculty of Computing, Health and Science

School

School of Computer and Security Science

RAS ID

9150

Comments

Dunstan, N., Armstrong, L. , & Diepeveen, D. (2009). Selecting areas for land use change in a catchment. Proceedings of 4th Indian International Conference on Artificial Intelligence. (pp. 1114-1123). Tumkur, India. Indian International Conference on Artificial Intelligence.

Abstract

Some farming areas in Australia have been degraded by agricultural practices that result in rises in the water table that bring salt to the surface and reduce the quality of runoff water and the 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.

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