Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/5324
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHean, Robynen
dc.contributor.authorCacho, Oscar Joseen
local.source.editorEditor(s): Anderssen, R S, Braddock, R D and Newham, L T Hen
dc.date.accessioned2010-03-26T09:12:00Z-
dc.date.issued2009-
dc.identifier.citationInterfacing modelling and simulation with mathematical and computational sciences: Proceedings of the 18th IMACS World Congress, MODSIM09, p. 1858-1864en
dc.identifier.isbn9780975840078en
dc.identifier.urihttps://hdl.handle.net/1959.11/5324-
dc.description.abstractIn this paper, a spatially-explicit model to undertake catchment-level analysis of dryland salinity is discussed. The model uses a raster-based approach where a catchment is represented as a grid of neighbouring cells. Each cell is defined by a set of seven attributes: land use, elevation, soil type, rainfall, aquifer thickness, groundwater-table depth and groundwater salinity. Cells receive and transmit groundwater information to and from neighbouring cells through a simplified hydrology model. The hydrology model is combined with an economic model and can be used to analyse the effect of alternative spatial patterns of land use. The model is implemented in the MATLAB programming environment and is designed to allow users to test any arbitrary pattern of land use and explore its long-term consequences. This facility permits the analysis of tradeoffs between financial (profit) and environmental (salt-affected area, water yield and water quality) outcomes. The model is illustrated in an application to a small agricultural catchment in central-west NSW, Australia. Attribute maps for elevation and soil type are read directly from ASCII grid files generated by GIS software. Rainfall is assumed to be uniform across the catchment, and monthly time steps ensure water movements between neighbouring cells in this small catchment are mimicked accurately. The model is initialised by reading a look-up table for land uses and their respective parameters, and a look-up table for soil types and their respective parameters. The user can change the number and types of land uses or soils and their associated parameters simply by changing the relevant look-up table in a spreadsheet. Three experiments were run where the catchment was entirely planted to a single land use, either tree belts, grazing on perennial pasture or annual cropping. Preliminary results demonstrate that the model responds to the different land-use scenarios in accordance with apriori expectations, with tree and pasture land uses generally resulting in lower-groundwater tables. The model is in the process of being calibrated and validated using time-series data for groundwater-table depth for several piezometers located across the catchment and some issues are discussed.en
dc.languageenen
dc.publisherModelling and Simulation Society of Australia and New Zealand (MSSANZ)en
dc.relation.ispartofInterfacing modelling and simulation with mathematical and computational sciences: Proceedings of the 18th IMACS World Congress, MODSIM09en
dc.titleSpatially-explicit modelling for catchment-level salinity managementen
dc.typeConference Publicationen
dc.relation.conferenceIMACS/MODSIM09: 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation, Cairns, Australia, 13th -17th July, 2009en
dc.subject.keywordsAgricultural Economicsen
dc.subject.keywordsAgricultural Spatial Analysis and Modellingen
dc.subject.keywordsNatural Resource Managementen
local.contributor.firstnameRobynen
local.contributor.firstnameOscar Joseen
local.subject.for2008140201 Agricultural Economicsen
local.subject.for2008050209 Natural Resource Managementen
local.subject.for2008070104 Agricultural Spatial Analysis and Modellingen
local.subject.seo2008960904 Farmland, Arable Cropland and Permanent Cropland Land Managementen
local.subject.seo2008960608 Rural Water Evaluation (incl. Water Quality)en
local.subject.seo2008960905 Farmland, Arable Cropland and Permanent Cropland Water Managementen
local.profile.schoolUNE Business Schoolen
local.profile.emailocacho@une.edu.auen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20091126-12351en
local.date.conference13th - 17th July, 2009en
local.conference.placeCairns, Australiaen
local.publisher.placeCanberra, Australiaen
local.format.startpage1858en
local.format.endpage1864en
local.peerreviewedYesen
local.contributor.lastnameHeanen
local.contributor.lastnameCachoen
dc.identifier.staffune-id:ocachoen
local.profile.orcid0000-0002-1542-4442en
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:5448en
dc.identifier.academiclevelAcademicen
local.title.maintitleSpatially-explicit modelling for catchment-level salinity managementen
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.relation.urlhttp://www.mssanz.org.au/modsim09/en
local.relation.urlhttp://trove.nla.gov.au/work/28281505en
local.conference.detailsIMACS/MODSIM09: 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation, Cairns, Australia, 13th -17th July, 2009en
local.search.authorHean, Robynen
local.search.authorCacho, Oscar Joseen
local.uneassociationUnknownen
local.year.published2009en
local.date.start2009-07-13-
local.date.end2009-07-17-
Appears in Collections:Conference Publication
Files in This Item:
2 files
File Description SizeFormat 
Show simple item record

Page view(s)

1,090
checked on Mar 7, 2023
Google Media

Google ScholarTM

Check


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.