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Layer: Overland Flow Path Spill Points from Roads 2021 (2)
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Layer: Modelled Catchment Flowpaths 2021 (1)
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Layer: Surface Depression Ponding Areas 2021 (3)
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Layer: Overland Flow Paths 2017 (15)
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Layer: Depression Storage Areas 2017 (16)
Parent Layer: Overland Flow Paths 2017Name: Depression Storage Areas 2017
Display Field: Min_Depth
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: Surface depressions can be mapped to define zones of potential inundation should the primary network become blocked.Depressions can be delineated under the assumption that these areas would fill to capacity prior tospilling. To qualify for inclusion in the depression’s dataset, individual depressions need to meet the following setof criteria relating footprint area, storage volume and maximum depth. Surface area > 100 m2 Maximum depth > 0.20 m Volume > 30 m3The Field "Valid_Depression" can be used to identify those depression features that meet the above criteriaDisclaimerThis overland flow path layer provides a high-level understanding of routes where surface stormwater may flow during rainfall events. It is subject to the following limitations:The layer uses a surface generated by LiDAR only and does not account for the stormwater reticulation network or for any surface obstructions such as buildings or fences.The layer is subject to limitations in the LiDAR data. These include lower precision under dense foliage and lack of LiDAR data in some rural areas in the District.The layer is generated through a GIS algorithm which divides terrain into a grid of squares. Water is modelled to flow from each grid square to the lowest adjacent grid square. This method means that fine features such as kerbs may not be accurately represented.The layer does not include any assessment of depth, width, or rate, of flows.In some locations, change to landform since LiDAR was generated will have altered overland flow paths from those displayed on the layer.These limitations mean that overland flow paths represented on the layer should not be considered definitive and are subject to further investigation. Likewise, flow paths that exist in reality, may not be represented on this layer.A draft disclaimer for the depression storage layer is provided as follows for your consideration.The depression storage layer provides an indicative extent of where ponding may form during prolonged rainfall.It is subject to the following limitations:It is assumed that the depression storage areas shown would fill to capacity prior to spillingThe depression storage areas shown exceed the following minimum criteria regarding ponding area, storage volume and depth.Surface area > 100 m2 Maximum depth > 0.20 m Volume > 30 m3The layer uses a surface generated by LiDAR only and is subject to the limitations of LiDAR. In some locations, change to landform since LiDAR was generated will have altered the potential depression storage area from those displayed on the layer.
Service Item Id: 7a9fc3d738ea4b5a9611e1b7ca8170e8
Copyright Text: Morphum Environmental 2019
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Layer: Catchment Area 2017 (17)
Parent Layer: Overland Flow Paths 2017Name: Catchment Area 2017
Display Field: Catchment_Area
Type: Feature Layer
Geometry Type: esriGeometryPolyline
Description: Overland flow paths were derived from a flow accumulation surface that was extracted from a hydrologically corrected DEM. Flow paths were defined using a flow accumulation threshold of 500 cells, i.e. to qualify for inclusion in the flow path network, a minimum catchment area of 2,000 m2 was required (500 cells x 4 m2 each). OLFPs were delineated iteratively, with additional burn lines created with each iteration to correct flow paths that spill out of their channels and follow an incorrect trajectory. This is often caused by manmade structures such as bridges but also natural features such as dense vegetation incorrectly included within the DEM (as opposed to the surface model or DSM). Several iterations using this approach were conducted until a fair representation of the flow paths was obtained. Flow paths were first converted to vector polylines and smoothed to give a more appropriate visual representation. The resulting feature class can be visualised by symbolising on the catchment area field using the break values shown below.DiscalimaerThis overland flow path layer provides a high-level understanding of routes where surface stormwater may flow during rainfall events. It is subject to the following limitations:The layer uses a surface generated by LiDAR only and does not account for the stormwater reticulation network or for any surface obstructions such as buildings or fences.The layer is subject to limitations in the LiDAR data. These include lower precision under dense foliage and lack of LiDAR data in some rural areas in the District.The layer is generated through a GIS algorithm which divides terrain into a grid of squares. Water is modelled to flow from each grid square to the lowest adjacent grid square. This method means that fine features such as kerbs may not be accurately represented.The layer does not include any assessment of depth, width, or rate, of flows.In some locations, change to landform since LiDAR was generated will have altered overland flow paths from those displayed on the layer.These limitations mean that overland flow paths represented on the layer should not be considered definitive and are subject to further investigation. Likewise, flow paths that exist in reality, may not be represented on this layer.A draft disclaimer for the depression storage layer is provided as follows for your consideration.The depression storage layer provides an indicative extent of where ponding may form during prolonged rainfall.It is subject to the following limitations:It is assumed that the depression storage areas shown would fill to capacity prior to spillingThe depression storage areas shown exceed the following minimum criteria regarding ponding area, storage volume and depth.Surface area > 100 m2 Maximum depth > 0.20 m Volume > 30 m3The layer uses a surface generated by LiDAR only and is subject to the limitations of LiDAR. In some locations, change to landform since LiDAR was generated will have altered the potential depression storage area from those displayed on the layer.
Service Item Id: 7a9fc3d738ea4b5a9611e1b7ca8170e8
Copyright Text:
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