This high-level metadata data document will be supplemented with detailed regional metadata at a later date. The NHDPlusV2 is an integrated suite of application-ready geospatial data sets that incorporate many of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset (NED). Interest in estimating stream flow volume and velocity to support pollutant fate-and-transport modeling was the driver behind the joint USEPA and USGS effort to develop the initial NHDPlus, referenced in this document as NHDPlusV1. NHDPlusV1 has been used in a wide variety of applications since its initial release in the fall of 2006. This widespread positive response prompted the multi-agency NHDPlus team to develop NHDPlus Version 2 (NHDPlusV2). The NHDPlusV2 includes a stream network (based on the 1:100,000-scale NHD), improved networking, naming, and "value-added attributes" (VAA's). NHDPlusV2 also includes elevation-derived catchments (drainage areas) produced using a drainage enforcement technique first broadly applied in New England, and thus dubbed "The New-England Method". This technique involves "burning-in" the 1:100,000-scale NHD and building "walls" using the national Watershed Boundary Dataset (WBD). The hydro-enforced digital elevation model (DEM) is used to produce hydrologic derivatives that agree with the NHD and WBD. An interdisciplinary team from the USGS, USEPA and contractors, has found this method to produce the best quality NHD catchments using an automated process. The VAAs include greatly enhanced capabilities for upstream and downstream navigation, analysis and modeling. Examples include: retrieve all flowlines (predominantly confluence-to-confluence stream segments) and catchments upstream of a given flowline using queries rather than by slower flowline-by-flowline navigation; retrieve flowlines by stream order; select a stream level path sorted in hydrologic order for stream profile mapping, analysis and plotting; and, calculate cumulative catchment attributes using streamlined VAA hydrologic sequencing routing attributes. The VAAs include results from the use of these cumulative routing techniques, including cumulative drainage areas, precipitation, temperature, and runoff distributions. Several of these cumulative attributes are used to estimate mean annual flow and velocity as part of the VAAs. NHDPlusV2 contains a snapshot (2012) of the 1:100,000-scale NHD that has been extensively improved over the snapshot used in NHDPlusV1. While these updates will eventually be stored in the central NHD repository at USGS, this will not be accomplished prior to distribution of NHDPlusV2. NHDPlusV2 users may not make updates to the NHD portions of NHDPlusV2 with the intent of sending these updates back to the USGS. Updates to the 1:100,000-scale NHD snapshot in NHDPlusV2 should be sent to the USEPA as the primary steward. Purpose: The geospatial data sets included in NHDPlusV2 are intended to support a variety of water-related applications. They already have been used in an application to develop estimates of mean annual streamflow and velocity for each NHDFlowline feature in the conterminous United States. The results of these analyses are included with the NHDPlusV2 data. NHDPlusV2 serves as the sample frame for the stream and lake surveys conducted by the USEPA under the National Aquatic Resources Surveys program. A water-quality model developed by the U.S. Geological Survey (USGS) called SPARROW (Spatially Referenced Regressions on Watershed Attributes), can utilizes the NHDPlusV2 network functionality to track the downstream transport of nutrients, sediments, or other substances. NHDPlusV2 water bodies and estimates of streamflow and velocity are used in SPARROW to identify reservoir retention and in-stream loss factors. NHDPlusV2 climatic and land surface attributes can be used in SPARROW to identify potential factors in the delivery of nutrients from the land surface to streams. NHDPlusV2 data is also being used in select areas for a USGS Web-based application, called StreamStats. StreamStats provides tools to interactively select any point in the implemented areas, delineate watersheds, and to obtain streamflow and watershed characteristics for the selected point. NHDPlusV2 has been designed to accommodate many users' needs for future applications. NHDPlusV2 provides the framework and tools necessary to customize the behavior of the network relationships as well as building upon the attribute database, for which the user can assign their own data to the network.

Blue-line stream means that a stream appears as a broken or solid blue line (or a purple line) on a USGS topographic map. Definition from NCDENR Water Resources Frequently Asked Questions http://portal.ncdenr.org/web/wq/swp/ws/401/waterresources/faqs

Blue Line Streams for the state of Oklahoma. Based on the NHD Flowlines Dataset.

This data is from the USGS Blue Line Streams data, which is the hydrology used on USGS topographic maps. This data has been "clipped" to the Fuquay-Varina Urban Service Area for convenience. It is not clear when this data was last updated, and the accuracy of stream lines to represent actual stream channel centerlines is variable. Wake County GIS also provides a County-level version of this data on their Open Data site for download. They also provide a different version of stream data.

Geospatial data about Boone County, Kentucky Perennial Blue Line Streams. Export to CAD, GIS, PDF, CSV and access via API.

A subset of the USGS National Hydro Dataset (NHD) containing only blueline streams. The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water bodies. Reaches are also defined on waterbodies and the approximate shorelines of the Great Lakes, the Atlantic and Pacific Oceans and the Gulf of Mexico. The NHD also incorporates the National Spatial Data Infrastructure framework criteria established by the Federal Geographic Data Committee.

Geospatial data about Boone County, Kentucky Intermittent Blue Line Streams. Export to CAD, GIS, PDF, CSV and access via API.

CDFW BIOS GIS Dataset, Contact: Sharon Powers, Description: In-stream habitat data include measurements of a variety of physical and aquatic stream attributes that collectively reveal a great deal about stream condition for salmonids and trout.

The U.S. Geological Survey South Atlantic Water Science Center, in cooperation with the South Carolina Department of Transportation, implemented a South Carolina StreamStats application in 2018. This shapefile dataset contains vector lines representing streams, rivers, and ditches that were used in preparing the underlying data for the South Carolina StreamStats application. Data were compiled from multiple sources, but principally represent lidar-derived linework from the South Carolina Department of Natural Resources and the South Carolina Lidar Consortium.The South Carolina hydrography lines were created from elevation rasters that ranged from 4 to 10 ft resolution, to produce a product of approximately 1:6,000-scale. Other sources include the 1:24,000 scale high resolution National Hydrography Dataset streamlines [for streamlines in Georgetown County (SC), NC, and GA] and the 1:4,800 scale local-resolution North Carolina Stream Mapping Project lines (mountain counties). These ...

Abstract

The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

These 'ghost' model node points are duplicates of the primary surface water model nodes. The 'ghost' nodes are located on the blue line stream network used to represent the riverine landscape classes and the primary model nodes are located on the BA-standard Geofabric Network blue line network. The ghost nodes are placed according to the following rule set (1) the primary sw model node is on the Geofabric Network blue line (2) keep the ghost node within the same catchment as the primary node (3) keep the ghost node within the same assessment unit as the primary node.

The purpose of the ghost nodes are to enable replication of the surface water modelling results across differently mapped blue line networks of the same physical rivers. In this case, from the BA-standard blue line stream network (Geofabric Network streams v2) to the riverine landscape class blue line.

Purpose

The purpose of the ghost nodes are to enable replication of the surface water modelling results across differently mapped blue line networks of the same physical rivers. In this case, from the BA-standard blue line stream network (Geofabric Network streams v2) to the riverine landscape class blue line. THis enable direct use of the surface water modelling in the impact analysis component of hte BA.

Dataset History

These 'ghost' model node points are duplicates of the primary surface water model nodes. The 'ghost' nodes are located on the blue line stream network used to represent the riverine landscape classes and the primary model nodes are located on the BA-standard Geofabric Network blue line network. The ghost nodes are placed according to the following rule set (1) the primary sw model node is on the Geofabric Network blue line (2) keep the ghost node within the same catchment as the primary node (3) keep the ghost node within the same assessment unit as the primary node.

The purpose of the ghost nodes are to enable replication of the surface water modelling results across differently mapped blue line networks of the same physical rivers. In this case, from the BA-standard blue line stream network (Geofabric Network streams v2) to the riverine landscape class blue line.

Dataset Citation

Bioregional Assessment Programme (XXXX) GLO Surface water model RiverStyle ghost nodes 20160829 v01. Bioregional Assessment Derived Dataset. Viewed 18 July 2018, http://data.bioregionalassessments.gov.au/dataset/685dd2e9-08aa-4ac3-9958-385e18ce37e4.

Dataset Ancestors

• Derived From Standard Instrument Local Environmental Plan (LEP) - Heritage (HER) (NSW)

• Derived From NSW Office of Water GW licence extract linked to spatial locations - GLO v5 UID elements 27032014

• Derived From GLO Assessment units 500m 20160705

• Derived From Gloucester digitised coal mine boundaries

• Derived From Groundwater Dependent Ecosystems supplied by the NSW Office of Water on 13/05/2014

• Derived From Geofabric Hydrology Reporting Catchments - V2.1

• Derived From Greater Hunter Native Vegetation Mapping with Classification for Mapping

• Derived From Australian Coal Basins

• Derived From Natural Resource Management (NRM) Regions 2010

• Derived From NSW Office of Water GW licence extract linked to spatial locations GLOv4 UID 14032014

• Derived From Communities of National Environmental Significance Database - RESTRICTED - Metadata only

• Derived From National Groundwater Dependent Ecosystems (GDE) Atlas

• Derived From Asset database for the Gloucester subregion on 12 September 2014

• Derived From GEODATA 9 second DEM and D8: Digital Elevation Model Version 3 and Flow Direction Grid 2008

• Derived From National Groundwater Information System (NGIS) v1.1

• Derived From GLO Receptors 20150518

• Derived From Groundwater Entitlement Data GLO NSW Office of Water 20150320 PersRemoved

• Derived From GLO Landscape Classification v01

• Derived From Asset database for the Gloucester subregion on 28 May 2015

• Derived From Geofabric Surface Cartography - V2.1

• Derived From Groundwater Entitlement Data Gloucester - NSW Office of Water 20150320

• Derived From Collaborative Australian Protected Areas Database (CAPAD) 2010 - External Restricted

• Derived From Mean Annual Climate Data of Australia 1981 to 2012

• Derived From National Groundwater Dependent Ecosystems (GDE) Atlas (including WA)

• Derived From EIS Gloucester Coal 2010

• Derived From Report for Director Generals Requirement Rocky Hill Project 2012

• Derived From Species Profile and Threats Database (SPRAT) - Australia - Species of National Environmental Significance Database (BA subset - RESTRICTED - Metadata only)

• Derived From GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb)

• Derived From Bioregional_Assessment_Programme_Catchment Scale Land Use of Australia - 2014

• Derived From GEODATA TOPO 250K Series 3

• Derived From Australian Geological Provinces, v02

• Derived From NSW Catchment Management Authority Boundaries 20130917

• Derived From Geological Provinces - Full Extent

• Derived From BILO Gridded Climate Data: Daily Climate Data for each year from 1900 to 2012

• Derived From NSW Office of Water GW licence extract linked to spatial locations GLOv3 12032014

• Derived From EIS for Rocky Hill Coal Project 2013

• Derived From Gloucester River Types v01

• Derived From GLO Preliminary Assessment Extent

• Derived From National Heritage List Spatial Database (NHL) (v2.1)

• Derived From Gloucester river types V02

• Derived From Asset database for the Gloucester subregion on 8 April 2015

• Derived From Gloucester - Additional assets from local councils

• Derived From NSW Office of Water combined geodatabase of regulated rivers and water sharing plan regions

• Derived From Asset database for the Gloucester subregion on 29 August 2014

• Derived From Gloucester Coal Basin

• Derived From GLO Landscape Classes split by 500m Assessment Units v01

• Derived From New South Wales NSW Regional CMA Water Asset Information WAIT tool databases, RESTRICTED Includes ALL Reports

*

Wetted channel networks expand and contract throughout the year. Direct observation of this process can be made by multiple intensive surveys of a catchment throughout the year. Godsey et al. (2014) suggest that the extent of the wetted channel network scales with discharge at the outlet by a power law (L = αQ^β). Using this relationship, we developed a framework to assess variability in the extent of wetted channels as a function of beta, β, and the variability in streamflow, Q (Lapides et al. 2021). This resource includes the empirical basis for the study and data compiled from the literature and maps.

1 - Channel length survey data (csv files) 2 - Discharge time series data (csv files) 3 - Watershed metadata (csv file) 4 - Blueline network files (pdf, png, and shp files)

This collection includes all watersheds where at least three channel length surveys have been conducted and where a corresponding discharge time series dataset is available. The requirement of a minimum of three channel length surveys stems from the data requirements to find alpha, α, and β for the power law relationship between discharge and stream network length for headwater catchments (Godsey et al. 2014). Data for 14 watersheds worldwide are included, along with watershed metadata, reference maps, shapefiles and a composite of USGS blueline stream network imagery with terrain for watersheds of interest in the United States.

Methods used to process the datasets or create other assets in this collection are included in the abstracts or additional metadata for each of the four resources listed above. Python code used to process data, compute variables, and create graphics is available at: https://zenodo.org/record/4057320

These data were developed as a subset of the 24k NHD Blueline Streams. An additional field indicating whether the segment falls under the river miles included by USACE in public notice has been added.The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water bodies. Reaches are also defined on waterbodies and the approximate shorelines of the Great Lakes, the Atlantic and Pacific Oceans and the Gulf of Mexico. The NHD also incorporates the National Spatial Data Infrastructure framework criteria established by the Federal Geographic Data Committee.

The Action Plan establishes a 600-foot zone of influence for OWTS adjacent to perennial streams, which for the purposes of the Action Plan are blueline streams that are depicted on the USGS 1:100,00 scale topographic map, and a 200-foot zone of influence for lower class streams that are derived using a LIDAR dataset. The 600-foot distance is based on a microbial contamination zone that was recommended by the California Department of Public Heath (CDPH, 1999) to protect water supply from viral, microbial and direct chemical contamination.

This contains line features for "Blue Water" trails, canoe, kayak, and small boat trails in Kentucky. The data is based on a series of press releases/articles that highlight the floating, fishing and tourism opportunities on Kentucky’s streams and rivers. The individual river lines are merged, and this is what is given to the Division of Geographic Information (DGI) for the adventure tourism site. This just contains the line from usually 24K NHD of the extent on the trail. This does not include the points of interest associated with the trail. All blue water trail maps are online at https://fw.ky.gov/Education/Pages/Blue-Water-Trails.aspxDownload: https://app.fw.ky.gov/kfwis/kygeonet/Blue_Water_Trails.zip

Abstract

The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

HUN AWRA-R River Reaches Calibration v01 depicts the 'blue line' drainage network used in the river model AWRA-R. It includes information on stream length for each river reach defined in the river model node-link network. This dataset was derived by the Bioregional Assessment Programme from existing 'blue line data' obtained from DPI Water (Riverstyles Spatial Layer for New South Wales).

Purpose

AWRA-R requires stream length of each stream within a river reach in AWRA-R in order to estimate model parameters related to in-stream losses and routing.

Dataset History

HUN AWRA-R River Reaches Calibration v01 is created from a river map of NSW (described in the lineage) which is overlain and clipped by a river reach map from the Topo250k dataset, which in turn is defined by a subset of streamflow gauges. Only the river network between upstream and downstream gauges (may have multiple upstream gauges) are considered, the rest are manually selected and removed.

Dataset Citation

Bioregional Assessment Programme (2016) HUN AWRA-R River Reaches Simulation v01. Bioregional Assessment Derived Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/43f10e76-4541-433a-8b3c-deed9655ce05.

Dataset Ancestors

• Derived From HUN AWRA-R simulation nodes v01

• Derived From River Styles Spatial Layer for New South Wales

• Derived From National Surface Water sites Hydstra

• Derived From BA SYD selected GA TOPO 250K data plus added map features

• Derived From GEODATA TOPO 250K Series 3

An Advanced Protection Management Program (APMP) is a management program that establishes standards for Onsite Wastewater Treatment Systems (OWTS) near impaired waterbodies.

The Action Plan for the Russian River Pathogen TMDL establishes minimum requirements for all OWTS within the designated APMP area for the Russian River Watershed. Owners of existing, new and replacement OWTS whose OTWS are located entirely outside the boundaries of the APMP are not subject to the APMP requirements, but must still comply with relevant requirements of the OWTS Policy and any approved Local Agency Management Program (LAMP), and if applicable, individual/general waste discharge requirements or waiver of waste discharge requirements.

The Action Plan establishes a 600-foot zone of influence for OWTS adjacent to perennial streams, which for the purposes of the Action Plan are blueline streams that are depicted on the USGS 1:100,00 scale topographic map, and a 200-foot zone of influence for lower class streams that are derived using a LIDAR dataset. The 600-foot distance is based on a microbial contamination zone that was recommended by the California Department of Public Heath (CDPH, 1999) to protect water supply from viral, microbial and direct chemical contamination.

Analysis of the USGS’s blue line network from 7.5’ topographic maps and how these persistent and intermittent stream network length extents compared to the length-duration curves that appear in Lapides et al. (Figure 2). Resources associated with blue line analysis include calculated values for average channel length, shapefiles derived from USGS TopoView maps, a composite image of all watersheds where blue line analysis has been applied, as well as network validation images. Only watersheds located in the U.S. are included in this analysis.

Blueline networks were extracted from the TopoView maps with Safe Software's FME program.

The DLG quadrangles were converted into Arc/INFO coverages and projected into the Massachusetts State Plane Coordinate System. The long list of items (MAJOR1, MINOR1, MAJOR2, MINOR2...) was then concatenated to a more simplified coding system. For each feature MINORn was truncated to three characters and linked to the other minor codes to create MINOR_TOT. For example, a submerged (612) wetland (111) is now coded MINOR_TOT = 612111. The original MAJORn, MINORn pairs are no longer part of the attribute tables.Quadrangles covering Nantucket and Martha's Vineyard were completely digitized from the 1:25,000 USGS quadrangles. Though not as thoroughly coded as the 1:25,000 DLGs, the linework is all at 1:25,000.The scanned quadrangles were automated in-house by scanning USGS mylar separates at 500 dots per inch. The resulting images were vectorized in GRID and then edited in ARCEDIT. Features missing from the blue line separate (i.e. dams or man-made shore) were digitized from the paper quadrangles. Four quads along the Massachusetts-Connecticut border were obtained from the Connecticut DEP and projected to the Massachusetts State Plane Coordinate System. An ongoing project by the MassDEP GIS Program to redelineate surface water supply watersheds using digital terrain models is adding additional streams within the newly delineated watersheds. These streams are from the MassDEP Wetlands datalayer with some additional on screen digitizing from the 2005 Color OrthoPhotos. Streams added from this process are generally coded as intermittent unless field verification proves otherwise. In 2007 the outlines of all reservoirs were replaced with those from the MassDEP Wetlands datalayer so either dataset can be used with the SWP Zones datalayer. In 2008 field verified streams for the Wachusett Reservoir watershed were provided by DCR West Boylston GIS staff and added.All of the digitized quadrangles were checkplotted at 1:25,000. The 1:25,000 DLG quadrangles were randomly checkplotted. Each of the quadrangles was edgematched to its neighboring quads. The scanned hydrography was compared both to the source mylar and to the paper quadrangles to ensure completeness.

NHDPoint contains points representing NHD hydrographic landmark features. Some points may have reach codes. Some of these are: Rapids, Waterfall, SpringSeep, Rock. Gate, Well. NHDPoint should not be confused with NHDPointEventFC which contains points that are tied to a specific location on a stream network by a reachcode and measure and include Stream Gages, Dams, and NWIS Water Quality monitoring locations. The WA State National Hydrography Dataset (NHD) is the standard hydrography for Washington. NHD Lines represent linear NHD hydrographic landmark features used for cartographic representation. Some of these are: Bridge, Dam, Flume, Gate, Levee, Sounding Datum Line. NHD Lines should not be confused with NHD Flowlines which are the major blue line data. NHD Line data for Washington are developed at a resolution of 1:4,800 to 1:24,000. This dataset was extracted from and projected into WA State Plane Coordinates South. The National Hydrography Dataset (NHD) is a feature-based database that as a whole interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. This high-resolution NHD, generally is developed at 1:24,000/1:12,000 scale, but many areas of Washington State have been improved to 1:4800 scale. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water bodies. Reaches are also defined on waterbodies and the approximate shorelines of the Great Lakes, the Atlantic and Pacific Oceans and the Gulf of Mexico. The NHD also incorporates the National Spatial Data Infrastructure framework criteria established by the Federal Geographic Data Committee. A detailed data dictionary is available at https://nhd.usgs.gov/userguide.html?url=NHD_User_Guide/Feature_Catalog/NHD_Feature_Catalog.htm

This layer is a component of This services contains Streams, Rivers, Lake, Ponds, Levees and Dams in Davidson County..

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