Terrain characteristics influencing aquifer salinisation of the Glenelg-Hopkins CMA region, using GIS Lawson, H., LeBlanc, M., Ierodiaconou, Daniel, Stagnitti, Frank, Harris, L., March, T., Versace, V., Van Oevelen, P. and Bowman, M. 2004, Terrain characteristics influencing aquifer salinisation of the Glenelg-Hopkins CMA region, using GIS, in Engineering salinity solutions: Proceedings of the 1st National Salinity Engineering Conference, Institution of Engineers Australia, trading as Engineers Australia, Barton, A.C.T., pp. 396-399. Attached Files Name Description MIMEType Size Downloads Title Terrain characteristics influencing aquifer salinisation of the Glenelg-Hopkins CMA region, using GIS Author(s) Lawson, H. LeBlanc, M. Ierodiaconou, Daniel orcid.org/0000-0002-7832-4801 Stagnitti, Frank Harris, L. March, T. Versace, V. orcid.org/0000-0002-8514-1763 Van Oevelen, P. Bowman, M. Conference name National Salinity Engineering. Conference (1st : 2004 : Perth, W.A.) Conference location Perth, Australia Conference dates 9-12 Nov. 2004 Title of proceedings Engineering salinity solutions: Proceedings of the 1st National Salinity Engineering Conference Editor(s) Dogramaci, Shawan Waterhouse, Alex Publication date 2004 Conference series National Salinity Engineering Conference Start page 396 End page 399 Publisher Institution of Engineers Australia, trading as Engineers Australia Place of publication Barton, A.C.T. Summary Salinisation of aquifers is an issue of great concern in the Glenelg-Hopkins region. The GlenelgHopkins region is located in south-west Victoria, south of the Great Dividing Range and covers 2.6 million hectares. The area receives an annual average rainfall of 500-910 mm and experiences a Mediterranean climate, with hot, dry summers and cold wet winters and has varied geology and soil types. Terrain characteristics, such as soil type, geology, depth-to-water table, land use and topography have been integrated into a Geographic Information System (GIS). A geostatistical approach, including the use of multiple linear regression is used to analyse the spatial variability of the relationships between aquifer salinity and terrain characteristics across the entire region. Results from this study should greatly improve knowledge of aquifer salinisation across the region. It is expected that this work will enable managers to determine the most appropriate mitigating measures for each specific area affected. ISBN 085825834X 9780858258341 Language eng Field of Research 050104 Landscape Ecology Socio Economic Objective 970105 Expanding Knowledge in the Environmental Sciences HERDC Research category E1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30005537 Document type: Conference Paper Collection: School of Life and Environmental Sciences   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Tue, 30 Sep 2008, 14:57:45 EST Fri, 17 Apr 2009, 16:34:39 EST Tue, 21 Jul 2009, 09:49:00 EST Tue, 21 Jul 2009, 09:49:59 EST Thu, 17 Jun 2010, 09:26:37 EST Thu, 17 Jun 2010, 09:33:30 EST Mon, 19 Jan 2015, 10:22:26 EST Tue, 03 Feb 2015, 10:08:03 EST Fri, 06 Feb 2015, 10:15:16 EST Mon, 13 Jun 2016, 19:46:23 EST Wed, 15 Jun 2016, 15:13:03 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 621 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Mon, 07 Jul 2008, 09:50:57 EST

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