Layer containing water supply system catchment boundaries for water harvesting in the region of Melbourne. Includes catchment name, type, size of catchment and asset identifier. The type are defined by CATCHO (Open), CATCHC (Closed), and CATCH (Restricted). This layer is intended for general mapping purposes and internal use only, and is not to be used for detailed mapping of, or detailed calculation related to, water supply catchments.
This layer is updated when new information is received from completed projects and/or updated from certified survey plans. Melbourne Water are responsible for reviewing and accepting information which results in update to the existing layer. Dataset also includes additional catchments captured originally e.g. Graceburn and Donnellys Weir.
NOTE: Whilst every effort has been taken in collecting, validating and providing the attached data, Melbourne Water Corporation makes no representations or guarantees as to the accuracy or completeness of this data. Any person or group that uses this data does so at its own risk and should make their own assessment and investigations as to the suitability and/or application of the data. Melbourne Water Corporation shall not be liable in any way to any person or group for loss of any kind including damages, costs, interest, loss of profits or special loss or damage, arising from any use, error, inaccuracy, incompleteness or other defect in this data.

Area representing the watershed catchment of a waterway or the hydraulic catchment of an underground stormwater drain for each Melbourne Water drain / catchment number. Captured using available contours and underground stormwater pipe network information. This layer is intended:To enable the identification of the receiving Melbourne Water waterway/drain for any property, area or point.To provide a framework of catchments for hydrologic modelling that can be further divided or amalgamated to suit the needs of the modeller.NOTE: Whilst every effort has been taken in collecting, validating and providing the attached data, Melbourne Water Corporation makes no representations or guarantees as to the accuracy or completeness of this data. Any person or group that uses this data does so at its own risk and should make their own assessment and investigations as to the suitability and/or application of the data. Melbourne Water Corporation shall not be liable in any way to any person or group for loss of any kind including damages, costs, interest, loss of profits or special loss or damage, arising from any use, error, inaccuracy, incompleteness or other defect in this data.

Area representing the watershed / hydraulic catchment of major waterways. The "Major Catchment" layer divides each Primary catchment into the tributaries of a primary river. The delineation of a Major Catchment is by the watershed (natural or constructed) of a major drain or watercourse. Examples of major catchments are: Tributary of Yarra River, Darebin Creek, Tarago River and Corhanwarrbul Creek. This dataset provides a consolidated and consistent set of drainage catchments covering the entire Port Phillip and Westernport catchment area (Melbourne Water’s area of responsibility for waterways and drainage). The primary purpose of this layer is for the hydraulic modelling of catchments and waterways, and/or calculations. Additional uses: Asset creation and numberingFlood Plain MappingDrainage Scheme Creation and ReviewsWater Resource ManagementResponding to Land Development QueriesNOTE: Whilst every effort has been taken in collecting, validating and providing the attached data, Melbourne Water Corporation makes no representations or guarantees as to the accuracy or completeness of this data. Any person or group that uses this data does so at its own risk and should make their own assessment and investigations as to the suitability and/or application of the data. Melbourne Water Corporation shall not be liable in any way to any person or group for loss of any kind including damages, costs, interest, loss of profits or special loss or damage, arising from any use, error, inaccuracy, incompleteness or other defect in this data.

River basin catchment areas for Melbourne. This layer has two intended purposes: To provide a readily available amalgamation of MWC_Catchments that make up the river basins within Melbourne Water’s area. Useful for larger scale plans and maps.Data for basin boundaries have been captured by relevant State and Territory authorities from 1:10 000 and 1:250 000 scale source material. The balance of the data are from Geoscience Australia's GEODATA Coast 100K which includes coastlines and State and Territory borders. Topographic Drainage Divisions and River Region boundaries are updated based on current research, data and technology. It references previous work of the Australian Water Resources Management Committee as shown in Australia's River Basins 1997. This work is a collaboration of scientists from the Bureau of Meteorology, Australian National University Fenner School of Environment and Society, CSIRO Water for Healthy Country Flagship and Geoscience Australia.

In late 2008, the Bureau of Meteorology (BoM), in partnership with Geoscience Australia, CSIRO and the Australian National University (ANU) commenced the development of the Australian Hydrological Geospatial Fabric (Geofabric). Geofabric is being developed to underpin the Australian Water Resources Information System (AWRIS) within a single, consistent, national geospatial framework for hydrological features. Geoscience Australia's role in the Geofabric is to provide the best available national topographic spatial data for surface water features based on the National Topographic Data and Map Specifications. The river basin boundaries have been aligned (by Melbourne Water) to Melbourne Water Corporation (MWC) drainage catchments, to produce a consistent drainage and waterways catchment dataset to State level, since 2005.
NOTE: Whilst every effort has been taken in collecting, validating and providing the attached data, Melbourne Water Corporation makes no representations or guarantees as to the accuracy or completeness of this data. Any person or group that uses this data does so at its own risk and should make their own assessment and investigations as to the suitability and/or application of the data. Melbourne Water Corporation shall not be liable in any way to any person or group for loss of any kind including damages, costs, interest, loss of profits or special loss or damage, arising from any use, error, inaccuracy, incompleteness or other defect in this data.

Catchment area for each Melbourne Water drain. Captured using available contours and drainage network information. This layer has two intended purposes: To enable the identification of the receiving Melbourne Water waterway/drain for any property, area or point. To provide a framework of catchments for hydrologic modelling that can be further divided or amalgamated to suit the needs of the modeller.NOTE: Whilst every effort has been taken in collecting, validating and providing the attached data, Melbourne Water Corporation makes no representations or guarantees as to the accuracy or completeness of this data. Any person or group that uses this data does so at its own risk and should make their own assessment and investigations as to the suitability and/or application of the data. Melbourne Water Corporation shall not be liable in any way to any person or group for loss of any kind including damages, costs, interest, loss of profits or special loss or damage, arising from any use, error, inaccuracy, incompleteness or other defect in this data.

This layer describes the stormwater priority areas for Melbourne Water’s Healthy Waterways Strategy 2018 (HWS2018). Stormwater priority areas were determined by a combination of decision support tools and the co-design process. The decision support tool used was Zonation, which prioritised management actions across the region with the objective of improving instream habitat suitability for platypus, fish and macroinvertebrates. The stormwater priority area polygons were created by merging sub-catchments from University of Melbourne’s subc layer, i.e. the network of sub-catchments used for assessing attenuated imperviousness and for habitat suitability modelling.
Primary purpose for this data is identifying stormwater priority areas of Melbourne Water's Healthy Waterways Strategy 2018. This dataset covers the Greater Melbourne region with the stormwater priority areas presented in this dataset aligning with the priorities of the Melbourne Water Healthy Waterways Strategy 2018. However, it is important to note that stormwater management activities require additional judgement to consider whether areas beyond (e.g. upstream) of the priority areas identified will also require treatment to achieve the desired waterway health outcomes.
The harvesting and infiltration targets presented in this dataset provide an estimate of what is required to achieve stormwater disconnection and recreation of the natural hydrology. However, is should be noted that these values are approximate only and do not replace site-specific investigations. The values have been calculated in reference to Walsh et al. 2012 , who presented target ranges for infiltration and harvesting required to achieve urban stormwater disconnection (i.e. re-creation of forested/vegetated hydrology). The values presented are the average of the ranges estimated by Walsh et al. 2012. These values do not replace a detailed site investigation. Site-specific factors (soil type, topography, geology and other hydrological features of the catchment) will influence the appropriate targets for a site.
For further reading on the prioritisation process see:Chee et al. (in development), Habitat Suitability Models, Scenarios and Quantitative Action Prioritisation (using Zonation) for Melbourne Water’s Healthy Waterways Strategy: A Resource Document, University of Melbourne and Melbourne Water for Melbourne Waterways Research Practice PartnershipMelbourne Water (in development), Healthy Waterways Strategy Resource Document. Each priority area contains targets for harvesting and infiltration. Achievement of these targets is required to achieve stormwater disconnection. These targets are presented in two ways: per impervious hectare, and total volume to full urban development (i.e. complete urban development to the urban growth boundary). It should be noted that these targets are approximate values only and do not replace site-specific studies. See notes above about how target values were selected.For further reading, see: Walsh, C. J., Fletcher, T. D., & Burns, M. J. (2012). Urban stormwater runoff: a new class of environmental flow problem. PLoS One, 7(9)

NOTE: Whilst every effort has been taken in collecting, validating and providing the attached data, Melbourne Water Corporation makes no representations or guarantees as to the accuracy or completeness of this data. Any person or group that uses this data does so at its own risk and should make their own assessment and investigations as to the suitability and/or application of the data. Melbourne Water Corporation shall not be liable in any way to any person or group for loss of any kind including damages, costs, interest, loss of profits or special loss or damage, arising from any use, error, inaccuracy, incompleteness or other defect in this data.

As part of the Healthy Waterways Strategy 2018 (HWS2018) the Melbourne Water operating region was split into a series of sub-regions. This includes 5 catchments, and 69 sub-catchments. The boundaries of each region generally follow catchment boundaries. There are two separate spatial scales:- Catchments (5 regions: Werribee, Maribyrnong, Yarra, Dandenong, Westernport) and Sub-catchments (69 polygons). This dataset is an update to the Regional River Health Strategy (RRHS) Management Units layer created in 2008. Primary purpose of this data is for reporting of targets, performance objectives, conditions, values etc. relating to the Healthy Waterways Strategy.
The sub-catchments in this dataset are an update of the "management units" developed for the Regional River Health Strategy in 2008. This dataset was created by merging sub-catchments from the University of Melbourne sub-catchments layer, commonly referred to as the DCI layer (where DCI refers to Directly Connected Imperviousness). The catchment polygons in this layer are similar to, but not exactly the same as those in the DCI layer currently used internally at Melbourne Water - The internally used layer has 15,901 polygon catchments, whilst the layer used to create this dataset has 16,346 polygon catchments. The Melbourne Water internal dataset will shortly be updated to align.
NOTE: Whilst every effort has been taken in collecting, validating and providing the attached data, Melbourne Water Corporation makes no representations or guarantees as to the accuracy or completeness of this data. Any person or group that uses this data does so at its own risk and should make their own assessment and investigations as to the suitability and/or application of the data. Melbourne Water Corporation shall not be liable in any way to any person or group for loss of any kind including damages, costs, interest, loss of profits or special loss or damage, arising from any use, error, inaccuracy, incompleteness or other defect in this data.

This layer delineates sewer catchments upstream of retail water company hydraulic information points. Sewer catchments which contribute directly to Melbourne Water assets are also included. This layer supports Melbourne Water to communicate high level data in regards to the existence and indicative location of assets within its responsibility to ensure they are protected throughout the assets life.
This layer is updated when new information is received from completed projects and updated from certified survey plans.
NOTE: Whilst every effort has been taken in collecting, validating and providing the attached data, Melbourne Water Corporation makes no representations or guarantees as to the accuracy or completeness of this data. Any person or group that uses this data does so at its own risk and should make their own assessment and investigations as to the suitability and/or application of the data. Melbourne Water Corporation shall not be liable in any way to any person or group for loss of any kind including damages, costs, interest, loss of profits or special loss or damage, arising from any use, error, inaccuracy, incompleteness or other defect in this data.

This dataset presents Directly Connected Imperviousness (DCI), which is an estimate of the proportion of a catchment where stormwater created by impervious surfaces flows through a traditional 'piped' stormwater network and drains directly to a stream. Waterway health is grossly degraded by the modification to the natural hydrological regime, and water quantity and quality caused by elevated DCI.

This dataset is a layer of sub-catchments for the region derived through the deployment of catchment modelling techniques using a digital elevation model (DEM). It contains Total Imperviousness (TI) and DCI parameters for all areas up-stream of any point in the waterway network. It additionally has DCI and TI values for individual sub-catchments.

For more information please visit Melbourne Water: https://www.melbournewater.com.au/.

Please note:

• As with all DCI data, it is highly recommended you speak with a subject matter expert to help you interpret this data.

Data describes habitat suitability modelling (HSM) results for platypus. The data was developed by the University of Melbourne through the Melbourne Waterways Research Practice Partnership as part of the development of Melbourne Water’s Healthy Waterways Strategy 2018 (HWS2018). Analysis has been undertaken across the Melbourne Water operating region, where the operating region has been divided into 16,346 sub-catchments. Of these 16,346 subcatchments, 8233 contain Melbourne Water waterways. The results are presented for each of these 8233 reaches. The data was used to estimate scores for platypus presented in the HWS for three scenarios:Current: habitat suitability for platypus under current conditions (i.e. 2014).Current trajectory: habitat suitability for platypus under urbanisation and climate change scenarios if current management approaches continue.Target trajectory: habitat suitability for platypus given urbanisation and climate change (as for current trajectory), together with (a) delivery of performance objectives of the Healthy Waterways Strategy and (b) achievement of environmental condition scores as described in the Catchment Programs of the Healthy Waterways Strategy. Presentation of habitat suitabilty model results for platypus from the Healthy Waterways Strategy 2018.
Habitat Suitability Model results have been thoroughly reviewed and are considered fit for purpose (i.e. for waterway planning). This data set covers the entire Melbourne Water region with the exception of very small areas close to Port Phillip Bay or Western Port. For example, there are small areas of French Island which are not captured.
This data set was created using: 1. Streams dataset for the Healthy Waterways Strategy 2018. This layer was developed by GraceGIS using Melbourne Water layers as inputs. 2. Results from Habitat Suitability Modelling for the Healthy Waterways Strategy 2018.
Further reading: Chee et al. (in development), Habitat Suitability Models, Scenarios and Quantitative Action Prioritisation (using Zonation) for Melbourne Water’s Healthy Waterways Strategy: A Resource Document, University of Melbourne and Melbourne Water for Melbourne Waterways Research Practice Partnership Melbourne Water (in development), Healthy Waterways Strategy Resource Document
NOTE: Whilst every effort has been taken in collecting, validating and providing the attached data, Melbourne Water Corporation makes no representations or guarantees as to the accuracy or completeness of this data. Any person or group that uses this data does so at its own risk and should make their own assessment and investigations as to the suitability and/or application of the data. Melbourne Water Corporation shall not be liable in any way to any person or group for loss of any kind including damages, costs, interest, loss of profits or special loss or damage, arising from any use, error, inaccuracy, incompleteness or other defect in this data.

This dataset provides daily measured streamflows into the four (4) major harvesting catchment dams in megalitres (ML). The streamflow is a calculated value which represents the observed 24-hour accumulated streamflow into the dam; net of any evaporation losses or rainfall gains from the dam surface. The streamflow measurement process requires reservior level, reservior gains and dam outflow data. The reservior level and dam outflow data is collected using telemetry devices. The reserviour levels are validated by Melbourne Water field operators. The dam outflow accounts for all water releases, including for consumption and for environmental purposes . The data is recorded at 8am daily. This data can be used in long and short-term catchment streamflow analysis.
NOTE: Whilst every effort has been taken in collecting, validating and providing the attached data, Melbourne Water Corporation makes no representations or guarantees as to the accuracy or completeness of this data. Any person or group that uses this data does so at its own risk and should make their own assessment and investigations as to the suitability and/or application of the data. Melbourne Water Corporation shall not be liable in any way to any person or group for loss of any kind including damages, costs, interest, loss of profits or special loss or damage, arising from any use, error, inaccuracy, incompleteness or other defect in this data.

The walkable catchment illustrates those areas in the metropolitan Melbourne region which are within 400m, or approximately a five minute walk, from the nearest public open space feature.For further information, including background, definitions and methodology, please visit the Victorian Planning Authority's Open Space Portal.

Spatial input data to parameterise the stream bank erosion module of the dSedNet model to simulate sediment generation and transport in the Western Port catchment for a 2018-19 study commissioned by Melbourne Water. Lineage: The workflow for generating bank height estimates from Melbourne Water's 1m LiDAR data was executed within the ArcGIS (version 10.2) environment. Bank height estimates were compared to and rescaled uisng Victorian Government Index of Stream Condition data.

Data describes habitat suitability modelling (HSM) results for fish in streams. The data was developed by University of Melbourne through the Melbourne Waterways Research Practice Partnership as part of the development of Melbourne Water’s Healthy Waterways Strategy 2018 (HWS2018). Analysis has been undertaken across the Melbourne Water operating region, where the operating region has been divided into 16,346 sub-catchments. Of these 16,346 subcatchments, 8233 contain Melbourne Water waterways. The results are presented for each of these 8233 reaches for these HWS scenarios:Current: habitat suitability for fish under current conditions (i.e. 2014).Current trajectory: habitat suitability for fish under urbanisation and climate change scenarios if current management approaches continue. Target trajectory: habitat suitability for fish given urbanisation and climate change (as for current trajectory), together with (a) delivery of performance objectives of the Healthy Waterways Strategy and (b) achievement of environmental condition scores as described in the Catchment Programs of the Healthy Waterways Strategy.Results are presented as:Stacked probabilities, i.e. habitat suitability all 13 native fished species added together. These stacked probability values were used in the HWS to provide a fish value score each reach and sub-catchments.Results are also provided for all 22 fish species. Presentation of habitat suitabilty model results for fish from the Healthy Waterways Strategy 2018.
Habitat Suitability Model results have been thoroughly reviewed and are considered fit for purpose (i.e. for waterway planning). This data set covers the entire Melbourne Water region with the exception of very small areas close to Port Phillip Bay or Western Port. For example, there are small areas of French Island which are not captured.
This data set was created using: 1. Streams dataset for the Healthy Waterways Strategy 2018 (developed by GraceGIS using Melbourne Water layers as inputs), and 2. Results from Habitat Suitability Modelling for the Healthy Waterways Strategy 2018.
Further reading: Chee et al. (in development), Habitat Suitability Models, Scenarios and Quantitative Action Prioritisation (using Zonation) for Melbourne Water’s Healthy Waterways Strategy: A Resource Document, University of Melbourne and Melbourne Water for Melbourne Waterways Research Practice Partnership Melbourne Water (in development), Healthy Waterways Strategy Resource Document
NOTE: Whilst every effort has been taken in collecting, validating and providing the attached data, Melbourne Water Corporation makes no representations or guarantees as to the accuracy or completeness of this data. Any person or group that uses this data does so at its own risk and should make their own assessment and investigations as to the suitability and/or application of the data. Melbourne Water Corporation shall not be liable in any way to any person or group for loss of any kind including damages, costs, interest, loss of profits or special loss or damage, arising from any use, error, inaccuracy, incompleteness or other defect in this data.

We used a case study in an Australian wet montane forest to establish how predictive fire simulation models can be interpreted as management tools to identify potential fire refuges. We tested the ability of a topographically based fire prediction model developed by Mackey et al (2002) in the O’Shannassy and Maroondah water catchments, NE north-east of Melbourne, Australia, with fire severity data collected following a large wildfire in 2009 in the same area. We derived our fire severity data from a larger map created by the Department of Sustainability and Environment (2009), using SPOT satellite imagery and the normalised-burnt ratio. We examined the relationship between the probability of fire refuge occurrence as predicted by an existing fire refuge model and fire severity experienced during a large wildfire. We also examined the extent to which local fire severity was influenced by fire severity in the surrounding landscape. We used a combination of statistical approaches including generalised linear modelling, variogram analysis and receiver operating characteristics and area under the curve analysis (ROC AUC). We found that the amount of unburnt habitat and the factors influencing the retention and location of fire refuges varied with fire conditions. Under extreme fire conditions, the distribution of fire refuges was limited to only extremely sheltered, fire-resistant regions of the landscape. During extreme fire conditions, fire severity patterns were largely determined by stochastic factors that could not be predicted by the model. When fire conditions were moderate, physical landscape properties appeared to mediate fire severity distribution. Our study demonstrates that land managers can employ predictive landscape fire models to identify the broader climatic and spatial domain within which fire refuges are likely to be present. It is essential that within these envelopes, forest is protected from logging, roads and other developments so that the ecological processes related to the establishment and subsequent use of fire refuges are maintained. Department of Sustainability and Environment (2009) Remote sensing guideline for assessing landscape-scale fire severity in Victoria’s forest estate. Unpublished technical manual., Department of Sustainability and Environment, Melbourne. Mackey, B., D. Lindenmayer, M. Gill, M. McCarthy, and J. Lindesay. 2002. Wildlife, Fire and Future Climate: A Forest Ecosystem Analysis. CSIRO publishing, Collingwood.

The data underpins a study which aimed to investigate the impact of remoteness on the travel time and population catchment for all COVID-19 point-of-care-test sites within Victoria during Stage 4 restrictions during July 2020.

There are two files 'mesh_block_summary' and 'testing_site_summary'.

In relation to 'mesh_block_summary', please consider the points below. - The data provides the average travel time (in minutes) and distance (in metres) to the closest point-of-care-test site for each mesh block. MB_CODE16: Mesh block identifier Duration: Distance in metres Distance: Travel time in minutes MB_Category_Name_2016: Mesh block category Dwelling: Number of dwellings Person: Number of people

In relation to 'testing_site_summary', please consider the points below. - The data provides the average travel time (in minutes) and distance (in metres) for mesh blocks which were closest (based on travel time) to each test site. Site_Name: Name of point-of-care-test site Facility: Type of site Website: Site website COVID_Lat: Latitude coordinate COVID_Long: Longitude coordinate Dwelling: Number of dwellings within mesh blocks which were closest (based on travel time) to each test site. Population: Number of people within mesh blocks which were closest (based on travel time) to each test site. Mean_distance: Average distance (in metres) for closest mesh blocks Mean_duration: Average travel time (in minutes) for closest mesh blocks N_mesh_blocks: Number of mesh blocks which are closest Mean_catchment_IRSD: Mean 'Index of Relative Socioeconomic Disadvantage' for closest mesh blocks

The methodology to derive the data above has been detailed within the reference below: Lakhani A, Wollersheim D. COVID-19 test sites in Victoria approaching Stage 4 restrictions: evaluating the relationship between remoteness, travel time and population serviced. Aust N Z J Public Health. 2021 Dec;45(6):628-636. doi: 10.1111/1753-6405.13154. Epub 2021 Oct 28. PMID: 34709703; PMCID: PMC8652517.

Spatial input data to parameterise the gully erosion module of the dSedNet model to simulate sediment generation and transport in the Western Port catchment for a 2018-19 study commissioned by Melbourne Water. Lineage: The 2003 gully map data were reprojected and spatially corrected. 'Active' gullies were determined through visual interpretation of aerial imagery from ESRI Base Layers (approx. 2013-2018) according to where the gully had sharply incised banks and/or presence of bare ground at base or edges. Some gullies were deleted where land use had changed and the gully was no longer visible, e.g. urban development, agriculture. New gullies were mapped where identified from recent aerial imagery. The workflow was executed within the ArcGIS (version 10.2) environment.

Water quality monitoring programs often collect large amounts of data with limited attention given to the assessment of the dominant drivers of spatial and temporal water quality variations at the catchment scale. This study aims to: a) identify the influential catchment characteristics affecting spatial variability in water quality, and b) develop predictive models to estimate average concentration of water quality constituents. Tropical catchments in the Great Barrier Reef area, Australia were used as a case study. Water quality monitoring data (i.e. sediments, nutrients and salinity) from 32 sites together with 58 candidate catchment characteristics were used to construct statistical models. This data set contains 58 catchment characteristics and 9 time-averaged water quality constituents' concentration at 32 GBR catchments.

This dataset presents locations of surface hydrological catchments in Australia. The basins and catchments datasets are part of the National Catchment Boundaries dataset which was developed by Australian National University (ANU) using the 9 second Digital Elevation Model and streams from GEODATA 1:250k data produced by Geoscience Australia. It represents the drainage areas from a pre-European landscape. The dataset was created to support the Australian Hydrological Geospatial Framework (Geofabric) released by Bureau of Meteorology with collaboration with ANU, CSIRO and Geoscience Australia. For more information please visit the Geoscience Australia Web Service Portal.

Spatial input data to parameterise the stream bank erosion module of the dSedNet model to simulate sediment generation and transport in the Western Port catchment for a 2018-19 study commissioned by Melbourne Water. Lineage: Melbourne Water provided tree canopy polygon data for riparian zones (0-200m stream buffer) in Western Port. These data represented presence/absence of tree canopy and did not capture vegetation with low vertical projection e.g. grass, shrub. Tree canopy was mapped at a fine scale (e.g. 1: 5000) from remote sensing and aerial image digitisation and captured considerable detail. The proportional area of tree canopy occurring within 1 ha grid cells was calculated across Westernport and resampled to a 20m grid for input to the model. While tree cover alone is not necessarily representative of riparian vegetation that stabilises stream banks that also includes low standing types, it was the only suitable data available to the project at the time as remote sensing products were either too coarse or contained insufficient spatial coverage. The workflow for generating riparian vegetation density estimates from Melbourne Water's riparian tree canopy data was executed within the ArcGIS (version 10.2) environment.