Publication DOI

Abstract

Geoscience Australia, the Western Australian Department of Planning and the Western Australian Planning Commission have collaborated through this study to develop a regional-scale inundation model capable of simulating combined storm tide and riverine flood scenarios within current and future climate conditions (sea-level rise influences only). Modelling scenarios were applied to the Busselton region of Western Australia.
Google map showing geographic bounding box with values North bound -33.6 East bound 115.44 West bound 115.1 South bound -33.7
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Product Type/Sub Type

nonGeographicDataset

Constraints

Creative Commons Attribution 4.0 International Licence

IP Owner

Commonwealth of Australia (Geoscience Australia)

Author(s)

Date (publication)

2014-01-01T00:00:00

Product Type

nonGeographicDataset

Topic Category

geoscientificInformation

GA Catalogue Number

78873 Product http://www.ga.gov.au/metadata-gateway/metadata/record/78873/

Keywords

GA Publication
Record
climate
coasts
flood
environmental
geohazards
marine
AU-WA
Earth Sciences

Resource Language

English

Resource Character Set

utf8

Resource Security Classification

unclassified

Geographic Extent

North bound
-33.6
East bound
115.44
West bound
115.1
South bound
-33.7

Lineage

The ANUGA hydrodynamic model (https://anuga.anu.edu.au/) was run based on a Digital Elevation Model (DEM) and inputs from a regional storm surge model (GEMS GCOM2D) The maximum inundation depth and momentum values were identified in ArcGIS post processing. DEM used within ANUGA: Triangular mesh created by/within ANUGA from a regular grid (1 m horizontal resolution). The input grid was based on elevation data with varing accuary: onshore and offshore LiDAR, Navy soundings and 1 second SRTM DEM. The derived triangular mesh consisted of smaller triangles (max 5m^2) around the man-made drainage channels and larger triangles around the remainder of the study region (max 350m^2) Regional storm input: Temporal (i.e. storm characteristics through the simulation time) were extracted from the regional storm modelling (GEMS GCOM2D model) results for point locations along the Busselton-Dunsborough coastline. ANUGA model variables Some key variables set within the Python code were: minimum_storable_height = 0.10m, mannings coefficient of friction = 0.03, 12 minute modelling time steps, 64 CPUs were used (variations were identifed between the results depending on the number of CPUs specified. The 64 CPU results were in the middle of the field (range from 8 to 128 CPUs). Broader detail of the methods applied within this project are within the technical methodology document. Also see the GA Professional Opinion (Coastal inundation modelling for Busselton, Western Australia, under current and future climate)

Digital Transfer Options

onLine

Distributor

Role
distributor
Organisation Name
Commonwealth of Australia (Geoscience Australia)
City
Canberra
Administrative Area
ACT
Postal Code
2601
Country
Australia
Email Address

Source Description

Source data not available.

Metadata File Identifier

f060da4f-ea7a-62e2-e044-00144fdd4fa6

Metadata Standard Name

ANZLIC Metadata Profile: An Australian/New Zealand Profile of AS/NZS ISO 19115:2005, Geographic information - Metadata

Metadata Standard Version

1.1

METADATA SECURITY CLASSIFICATION

unclassified

Metadata Contact

Role
pointOfContact
Organisation Name
Commonwealth of Australia (Geoscience Australia)
City
Canberra
Administrative Area
ACT
Postal Code
2601
Country
Australia
Email Address
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