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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This spatial dataset identifies the land where development implications exist due to the risk of flood as designated by the relevant NSW environmental planning instrument (EPI). The specific EPI which defines the planning requirement is described in the dataset. Contact data.broker@environment.nsw.gov.au for this data package (shapefile)
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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The NSW Flood Data Portal has been developed as a joint partnership between the NSW State Emergency Service and the NSW Office of Environment and Heritage. The portal aims to improve the sharing of key flood data within government and to other stakeholders so that this information is more broadly available to be considered in decision making.
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TwitterIllustrates the high, medium and low flood risk precincts in Fairfield.
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TwitterFlood Mapping Compendium to support main report
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TwitterAtlas map showcasing the Moree Plans Local Government Area and which parts are inundated, low hazard and high hazard. Flood contours are also visible.
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Twitter19 components + 1 overview
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TwitterIllustrates high risk, medium risk (1% AEP) and low risk (PMF) regions within the vicinity of Coffs Creek. The road map is also underlying, in order to show what particular streets are subject to a higher chance of flooding.
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TwitterHazard and hydraulic categories; extents and categorisations based on the Flood Planning Level (1% AEP flood + 500mm freeboard).
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TwitterThe Wagga Wagga Local Government Area (LGA) is located in the southern inland area of NSW. The study area (depicted in Figure 1) is surrounded by seven other LGAs, namely Coolamon and Junee to the …Show full descriptionThe Wagga Wagga Local Government Area (LGA) is located in the southern inland area of NSW. The study area (depicted in Figure 1) is surrounded by seven other LGAs, namely Coolamon and Junee to the north, Gundagai and Tumut to the east, Greater Hume and Lockhart to the south and Narrandera to the west. The Wagga Wagga LGA covers an area of approximately 4,886 km2. The Murrumbidgee River traverses the floodplain from east to west and is a major tributary to the Murray System draining some 100,000 km2. The catchment area of the Murrumbidgee River at Wagga Wagga is approximately 26,400 km2. The majority of the floodplain is used for agricultural purposes. Most of the urban and industrial development is located in Central and North Wagga. Other industrial areas are located in the southern floodplain and east of Wagga Wagga along the Sturt Highway. Recent population growth has been mainly centred in the southern and elevated areas of Wagga Wagga. Other significant residential centres comprise Kooringal and Lake Albert. Council engaged WMAwater to develop a suitable 2D model, calibrated to the 1974 event, with the ultimate purpose of defining the 1% AEP flood extents and levels for Murrumbidgee River flooding over the entire LGA. Note that where design results overlap previous models results, particularly from the 2010 study (Reference 2), Council will need to be consulted as to which design flood information is to be used.
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Twitter14 figures
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TwitterHazard and hydraulic categories; extents and categorisations based on the Flood Planning Level (1% AEP flood + 500mm freeboard).
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TwitterMap displaying the extents of flood studies, floodplain risk management studies/plans, and the years of their completion. Data and Resources Studies- Plans Map as @ 10-06-2025PDF (788.4 kB) Map of Lake Macquarie flood studies Explore More information Download
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TwitterThere is a long history of flooding from the Murrumbidgee River in Narrandera. Serious flooding has been reported since settlement began over 150 years ago. Formal gauging of river levels in …Show full descriptionThere is a long history of flooding from the Murrumbidgee River in Narrandera. Serious flooding has been reported since settlement began over 150 years ago. Formal gauging of river levels in Narrandera commenced in 1892, with gauging upstream in Gundagai and Wagga Wagga, and downstream at Hay and Balranald prior to this in 1887. The objectives of the FRMS are: Review the Narrandera Flood Study Determine flood damages in the study area for the full range of flood events Identify and compare various risk management options to deal with existing flood risk in the Gillenbah area, considering and assessing their social, economic, ecological and cultural impacts and examination of ways to mitigate impacts Examine types of future development that may be compatible with the level of flood risk in the study area to assist Council in future planning decisions Develop appropriate development controls for flood risk compatible development and future redevelopment of existing development in the floodplain Assess the cumulative impact of any potential new development given the proposed development controls and potential extent of development Assess the impacts of potential future changes to major infrastructure Define the potential for overtopping of the Main Canal in extreme flood events Examine appropriate management measures to deal with the danger to personal safety and damages from continuing risk associated with an extreme flood event Integration of flood information into Council’s GIS system as an overlay Identify current gaps in Council’s Flood Prone Land Policy Provide recommendations for floodplain risk management in Narrandera which will form the basis of the Narrandera Floodplain Risk Management Plan (separate report).
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This wetland vegetation map is produced from air photo interpretation techniques and imagery acquired in June 2022. \r \r Map development began with the collection of high-resolution aerial colour (Red-Green-Blue) imagery. The imagery was provided as an orthographic mosaic (ie a straight down view) with a 40 cm ground sampling distance covering the whole study area. This formed the primary input of information for vegetation extent mapping.\r \r Several interpreters were then trained in Aerial Photographic Interpretation (API) to visually analyse the imagery to identify and delineate different vegetation types. The Aerial Photographic Interpretation separated vegetation types using spectral characteristics, colour, texture, shape, spatial patterns and associations with predictive environmental layers (such as flood frequency categories, elevation and geomorphology type). Existing survey data was also used to help identify vegetation types from imagery. This included BioNet species data, floristic data and other grey literature. Oblique aerial handheld photos captured from a helicopter were also sourced from another project to inform the aerial imagery interpretation. A subset of the available oblique handheld photos was selected to correspond to the timing (within two years) of the 40cm aerial imagery acquired for vegetation map development. The subset of oblique handheld photos adopted to inform the air photo interpretation included photos collected between January 2022 to April 2023 at the Macquarie Marshes. \r \r A polygon layer divided into small regions was sourced to overlay on the 40cm aerial imagery. This spatial layer was produced using the Definiens eCognition software package. The polygon layer was generated with a computer-based image analysis tool known as segmentation. Inputs to the segmentation tool included a set of raster datasets with a 5m grid cell size. The segmentation tool produced a spatial layer of ‘segments’ or very small polygons based on the combined spectral and textural features of the input rasters (Roff et al., 2022). The segmented layer was overlayed on the 40cm aerial imagery. Interpreters then manually selected groups of segments and assigned classes (‘attributes’) to the polygons to delineate vegetation patterns. The use of the segmented spatial layer enabled more efficient mapping, as interpreters did not have to manually draw polygon linework with a mouse. \r \r Vegetation patterns were interpreted from the high-resolution 40cm aerial imagery at a scale of 1:25 000 for non-flood dependent vegetation and at a scale of 1:10 000 for wetland communities. The minimum map unit (smallest polygon) was 2 ha.\r \r Selected polygons from the segmentation process were initially assigned to an artificial class referred to as a Vegetation Photo Pattern (VPP), analogous to NSW Vegetation Classes (for more information on NSW Vegetation Classes see https://www.environment.nsw.gov.au/topics/animals-and-plants/biodiversity/nsw-bionet/the-nsw-vegetation-classification-framework ). \r The VVPs were aligned with plant community types (PCTs) as described in the NSW BioNet Vegetation Classification Database (see https://vegetation.bionet.nsw.gov.au/). \r \r The accuracy of the map wetland vegetation functional groups was assessed using 505 independently collected field validation points. \r \r The overall accuracy was 0.74 and the Kappa statistic was 0.67.\r \r Each wetland PCT was also aligned to a vegetation functional group corresponding to the vegetation objectives in the Macquarie Marshes Long Term Watering Plan.\r \r Accuracies and 95% confidence intervals for map individual map classes were:\r Non woody wetland: 0.89 (0.84 to 0.94)\r Flood dependent woodland: 0.71 (0.61 to 0.81)\r River red gum forest: 0.24 (0.00 to 0.41)\r River red gum woodland: 0.73 (0.64 to 0.81)\r Terrestrial vegetation: 0.73 (0.65 to 0.81)\r Non-native or other (includes pasture, cropping, infrastructure, dams): Not assessed. No field survey data.\r \r This mapping project was funded by the NSW Water for the Environment Program.\r
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TwitterThe design flood levels currently used at Branxton for development control and planning purposes by Cessnock City Council are based on the Hunter River (Branxton to Green Rocks) Flood Study completed in 2010 by WMAwater. Two TUFLOW models were developed for the study – one from Branxton to Oakhampton, and another from Oakhampton to Green Rocks, with an overlapping section in the vicinity of Oakhampton.\r \r Prior to the undertaking of the 2010 Flood Study, a more localised study was completed at Branxton as part of preliminary design work for the Hunter Expressway crossing of Black Creek at Branxton. This study estimated 1% AEP flood levels from both Black Creek and Hunter River flood mechanisms, for the purposes of setting the road level.\r \r A discrepancy between the 1% AEP flood levels in these two reports prompted a review by the Design Joint Venture (DJV) contracted to construct the Hunter Expressway, led by Abigroup and also including SMEC and SKM consulting engineers. The review included collection of new information about the level of the February 1955 flood at Branxton, and presented an alternative calibration of the TUFLOW model. Based on this alternative calibration, a 1% AEP flood level was recommended which was between the two previous estimated levels. WMAwater understand that this level was adopted for construction of the expressway. \r \r Cessnock City Council engaged WMAwater to review design flood levels at Branxton in light of the additional work done by the DJV, to determine whether there is justification for adjusting the design levels at Branxton for flood-related development control purposes, and if so, whether adjustments should be made to design levels for the full 2010 Flood Study TUFLOW model extent downstream to Green Rocks.
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TwitterManilla Floodplain Risk Management Study and Draft Plan - Report - Datasets - NSW Flood Data Portal
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TwitterCorowa, Howlong & Mulwala Floodplain Risk Management Plan Report PDFs - all volumes Corowa, Howlong & Mulwala Floodplain Risk Management Plan - Report Complete report
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TwitterThe Narrabri Flood Study constitutes the first stage of the Floodplain Risk Management process and assesses the risk of regional flooding from the Namoi River and local flooding from its tributaries, Mulgate Creek and Long Gully. It has been prepared by consultants WRM Water & Environment Pty Ltd and the Narrabri Shire Floodplain Risk Management Committee for Narrabri Shire Council.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This spatial dataset identifies the land where development implications exist due to the risk of flood as designated by the relevant NSW environmental planning instrument (EPI). The specific EPI which defines the planning requirement is described in the dataset. Contact data.broker@environment.nsw.gov.au for this data package (shapefile)