Data represents vegetation coverage within the riparian zone for waterways across Melbourne Water’s region. This layer was developed by GraceGIS as part of vegetation statistics extraction for each riparian zone and stream bed for each of the subcatchments. The data was developed as part of the Healthy Waterways Strategy 2018 (HWS2018). The primary purpose of this layer is for reporting and target setting. This includes setting and reporting on targets and performance objectives relating to vegetation coverage. Dataset was created using 1. Latest MW Drainage Network to prepare HWS stream network layer. 2. Seamless polygons were created for the stream bed: ISC 2010 streambed data and a 2 metre buffer from the network was used to develop a complete streambed layer across the Melbourne Water region. 3. Buffer polygons at 20 metres and 10 metres from the streambed representing riparian zone outside Urban Growth Boundary (UGB) area and within UGB respectively. 4. HWS Vegetation Streambed Riparian (2016) layer for these riparian and stream beds has been assembled. 5. Subc level stats are derived as detailed above. Attribute level metadata can be viewed here 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.

Data describes vegetation extent priorities for each stream reach across the Melbourne Water region. Each reach is classified as either high, medium or low priority. To meet the performance objectives of the Healthy Waterways Strategy 2018 (HWS2018), high priority reaches need to be revegetated by 2028. To meet the target trajectory scores of the Healthy Waterways Strategy, medium priority reaches need to be revegetated by 2068. Vegetation priority reaches 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. For the most up-to-date performance objectives, see the co-designed Catchment Programs at: https://www.melbournewater.com.au/about-us/strategies-achievements-and-policies/healthy-waterways-strategy Results 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. 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 Partnership • Melbourne Water (in development), Healthy Waterways Strategy Resource Document, Presentation of revegetation priority reaches for the Healthy Waterways Strategy 2018. 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.

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:,

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:,

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:,

Data describes habitat suitability modelling (HSM) results for macroinvertebrates 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. The data was used to estimate the scores for macroninvertebrates presented in the HWS for three scenarios:,

The VEGETATION_WIDTH_R table is the Statistical Summary table for the Vegetation Width Metric at the Reach level. The ISC2010_VEGETATION_WIDTH_R table is designed to JOIN to the ISC2010_RIVER_CENTRELINES_R feature class. River condition in Victoria is assessed every 5 years using the Index of Stream Condition (ISC). The Department of Environment and Primary Industries (DEPI) developed a methodology to assess the Physical Form and Riparian Vegetation components of the ISC using remote sensing data, specifically LIDAR and aerial photography. A State Wide mapping project was undertaken in 2010-13 to accurately map the Physical Form and Riparian Vegetation metrics of the ISC . Other ISC metrics were not assessed in the project and were derived from other sources. The Physical Form and Riparian Vegetation Metric products are a combination of mapped Vector and Raster data as well as Tabular Summary Statistics about the mapped features. In the context of the project, the term Metrics is used to refer to both the mapped features and the summary statistics. Remote sensing data used includes 15cm true colour and infra-red aerial photography and four return multi-pulse LiDAR data. This source data was used to derive a variety of Raster data sets including Digital Terrain Models, Slope, Vegetation Height and Vegetation Cover. The Digital Terrain and Slope rasters were used to map Physical Form metrics including Stream Bed, Top of Bank and River Centre Lines while the Vegetation Height and Cover rasters were used to map the Riparian Vegetation metrics. The Project Report "Aerial Remote Sensing for Physical Channel Form and Riparian Vegetation Mapping" describes the remote sensing and mapping approach used to create this data set.

This dataset supersedes all earlier versions of 'Assessment of Near Future Change in Hydrology of Wetlands in HGL of the ACT '. It incorporates HGL boundary and management area edits based on updated soil landscape mapping for the ACT. The focus of this dataset is climate change impacts on hydrological parameters of wetlands in the Australian Capital Territory. It contains digital spatial data developed to assist in land management decision making in the ACT. The dataset contains an assessment of the change brought about by climate change on the groundwater, surface water and precipitation components of wetland water balances. Three selected regional climate projection ensembles from the NARCliM (NSW/ACT Regional Climate Modelling) project were used in the assessment – multimodel mean, CCCMA3.1-R2 and ECHAM5-R3. Only near-future (1990-2009 to 2020-2039) projections were considered. Each variable was considered using annual and seasonal time periods. Field names in the dataset follow the following format: Field name = MODEL_HYDRO VARIABLE_TIME PERIOD_VARIABLE MODEL C – Consensus (NARCliM Multimodel Consensus Scenario) W – Wetter (NARCliM CCCMA3.1-R2 Wetter Scenario) D – Drier (NARCliM ECHAM5-R3 Drier Scenario) HYDRO VARIABLE P – Precipitation S – Surface water G – Groundwater TIME PERIOD A – Annual S – Seasonality VARIABLE AC – Absolute change (mm) PC – Percent change (%) MC – Magnitude of change C – Current seasonality NF – Near future seasonality Hydrogeological landscape (HGL) unit boundaries developed as part of the broader ACT Hydrogeological Landscapes (HGL) Framework project where used to constrain the outputs for this hydrological assessment in the ACT. In all, there are 25 HGL defined. A weighted mean was used to calculate values for each HGL unit based on the proportions of corresponding 10km gridded data from the NARCliM data set. The outcomes suggest that the consensus scenario is the better outcome for wetlands, and despite an increase in annual volumes, the level of seasonal change in found in both the wetter and dryer scenarios poses a risk to wetlands. It is also important to note that the levels of annual water source increase predicted in the wetter scenario may also have negative impacts on wetlands. Spatial resolution of this product is 1:50 000.