1.0 DCPLUS 20230322 17425200 20230928 17425200 https://www.arcgis.com/sharing/rest/content/items/f857f594d3fb4e7cbba27e22d23cd849/info/thumbnail/ago_downloaded.png https://www.arcgis.com/home/item.html?id=f857f594d3fb4e7cbba27e22d23cd849 f857f594d3fb4e7cbba27e22d23cd849 Feature Service https://services.arcgis.com/cJ9YHowT8TU7DUyn/arcgis/rest/services/National_Pollutant_Stream_Network_Impervious/FeatureServer National Pollutant Stream Network Impervious 2023-03-22T17:42:52 2023-09-28T14:26:33 Stream StreamCat Network NHD Hydrography National Pollutant Roads River Impervious Salt Chemical USEPA PFAS PFOS Fish Tissue WQP NLCD TIGER National Pollutant Stream Network Impervious derived from NHD flowline dataset which has been associated with TIGER road data, US traffic monitoring point data, and various StreamCat variables to aid in determining flow connection patterns from vehicle driven pathways into streams. <div style='font-family: 'Avenir Next W01', 'Avenir Next W00', 'Avenir Next', Avenir, 'Helvetica Neue', sans-serif;'> <p style='font-size: 15px; font-family: 'Avenir Next', Avenir, 'Helvetica Neue', Helvetica, Arial, sans-serif;'><span style='font-size: 12pt;'>National Pollutant Stream Network Impervious  derived from NHD flowline dataset has been associated with TIGER road data, US traffic monitoring point data, and various StreamCat variables to aid in determining flow connection patterns with vehicle driven pathways into streams.</span></p> <p style='font-size: 15px; font-family: 'Avenir Next', Avenir, 'Helvetica Neue', Helvetica, Arial, sans-serif;'><span style='font-size: 16px;'><strong> </strong></span></p> <p style='font-family: 'Avenir Next', Avenir, 'Helvetica Neue', Helvetica, Arial, sans-serif;'><strong><span style='font-size: large;'>Layer Visualization</span></strong></p> <p style='font-family: 'Avenir Next', Avenir, 'Helvetica Neue', Helvetica, Arial, sans-serif;'><span style='font-size: 16px;'>Data visualized in this layer and any related geospatial products was categorized based on best professional judgment and is not depicting degradation. The multi-color scheme and binning used was chosen to optimize the visual representation of the difference a</span><span style='font-size: medium;'>mong stream locations based on the underlying datasets . End users do have the ability to alter category breaks based on user need.</span></p> <div style='font-family: 'Avenir Next', Avenir, 'Helvetica Neue', Helvetica, Arial, sans-serif;'> <table style='border-collapse: collapse; border: none;' border='1' cellspacing='0' cellpadding='0'> <tbody> <tr style='height: 41.35pt;'> <td style='width: 121.25pt; border: solid windowtext 1.0pt; padding: 0in 5.4pt 0in 5.4pt; height: 41.35pt;' valign='top' width='162'> <p style='margin-bottom: 0in;'><span style='font-family: 'Zapf Humanist 601';'><span style='font-size: medium;'><a href='https://arcg.is/0SaWvC' rel='nofollow ugc'>% Impervious Catchment/Watershed</a></span></span></p> </td> <td style='width: 346.25pt; border: solid windowtext 1.0pt; border-left: none; padding: 0in 5.4pt 0in 5.4pt; height: 41.35pt;' valign='top' width='462'> <p style='margin-bottom: 0in;'><span style='font-family: 'Zapf Humanist 601';'><span style='font-size: medium;'>Mean imperviousness of anthropogenic surfaces (NLCD) within catchment/watershed. Symbology is broken into 10% intervals from 0 – 100 with color gradation from light to dark with darker color depicting a greater percentage of impervious surfaces.</span></span></p> </td> </tr> </tbody> </table> </div> <div style='font-size: 15px; font-family: 'Avenir Next', Avenir, 'Helvetica Neue', Helvetica, Arial, sans-serif;'><span style='font-family: 'Avenir Next W01', 'Avenir Next W00', 'Avenir Next', Avenir, 'Helvetica Neue', sans-serif;'><strong><span style='font-size: large;'><u> </u></span></strong></span></div> <div style='font-size: 15px; font-family: 'Avenir Next', Avenir, 'Helvetica Neue', Helvetica, Arial, sans-serif;'> <div><strong><span style='font-family: inherit; font-size: large;'><u>NLCD Impervious Surface</u></span></strong></div> <div><span style='font-family: inherit; font-size: medium;'>The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, 2016, 2019, and 2021. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change.  (Wickham et. al, “Thematic Accuracy assessment of the NLCD 2016 land cover for the conterminous United States”, Remote Sensing of Environment, volume 257, May 2021, 112357 <a style='color: #00619b; text-decoration-line: none; font-family: inherit;' href='https://doi.org/10.1016/j.rse.2021.112357' target='_blank' rel='nofollow ugc noopener noreferrer'>https://doi.org/10.1016/j.rse.2021.112357</a> ). Data presented in the pop-up of the dataset uses the 2019 impervious information. Data from 2001 to 2019 are present in the underlying dataset and can be accessed via the underlying feature service.</span></div> </div> <div style='font-size: 15px; font-family: 'Avenir Next', Avenir, 'Helvetica Neue', Helvetica, Arial, sans-serif;'><span style='font-family: 'Avenir Next W01', 'Avenir Next W00', 'Avenir Next', Avenir, 'Helvetica Neue', sans-serif;'><strong><span style='font-size: large;'><u> </u></span></strong></span></div> <div style='font-size: 15px; font-family: 'Avenir Next', Avenir, 'Helvetica Neue', Helvetica, Arial, sans-serif;'><span style='font-family: 'Avenir Next W01', 'Avenir Next W00', 'Avenir Next', Avenir, 'Helvetica Neue', sans-serif;'><strong><span style='font-size: large;'><u>National Hydrography Dataset (NHD)</u></span></strong></span><span style='font-family: 'Avenir Next W01', 'Avenir Next W00', 'Avenir Next', Avenir, 'Helvetica Neue', sans-serif;'><span style='font-size: 16px;'><br /></span></span></div> <div style='font-size: 15px; font-family: 'Avenir Next', Avenir, 'Helvetica Neue', Helvetica, Arial, sans-serif;'><span style='font-family: 'Avenir Next W01', 'Avenir Next W00', 'Avenir Next', Avenir, 'Helvetica Neue', sans-serif;'><span style='font-size: 16px;'>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. Once linked to the NHD by their reach addresses, the upstream/downstream relationships of these water-related entities--and any associated information about them--can be analyzed using software tools ranging from spreadsheets to geographic information systems (GIS). GIS can also be used to combine NHD-based network analysis with other data layers, such as soils, land use and population, to help understand and display their respective effects upon one another.</span></span></div> <div style='font-size: 12pt;'>For complete metadata, please use refer to the full NHDPlus documentation at: </div> <div style='font-size: 12pt;'><a style='color: #0079c1; text-decoration-line: none; font-family: inherit;' href='https://epa.maps.arcgis.com/home/item.html?id=8baf3618b189446680c865ff2bdb781e#www.horizon-systems.com/nhdplus/NHDPlusV2_home.php' target='_blank' rel='nofollow ugc noopener noreferrer'>https://www.horizon-systems.com/nhdplus/NHDPlusV2_home.php</a>.</div> <div style='font-size: 12pt;'> </div> <div style='font-size: 15px; font-family: 'Avenir Next', Avenir, 'Helvetica Neue', Helvetica, Arial, sans-serif;'><span style='font-family: 'Avenir Next W01', 'Avenir Next W00', 'Avenir Next', Avenir, 'Helvetica Neue', sans-serif; font-size: large;'><strong><u>StreamCat</u></strong></span></div> <div style='font-size: 15px; font-family: 'Avenir Next', Avenir, 'Helvetica Neue', Helvetica, Arial, sans-serif;'><span style='font-family: 'Avenir Next W01', 'Avenir Next W00', 'Avenir Next', Avenir, 'Helvetica Neue', sans-serif;'><span style='font-size: 16px;'>The StreamCat Dataset provides summaries of natural and anthropogenic landscape features for ~2.65 million streams, and their associated catchments, within the conterminous USA. This dataset is associated with the following publication: </span></span></div> <div style='font-size: 15px; font-family: 'Avenir Next', Avenir, 'Helvetica Neue', Helvetica, Arial, sans-serif;'> <ul> <li><span style='font-family: 'Avenir Next W01', 'Avenir Next W00', 'Avenir Next', Avenir, 'Helvetica Neue', sans-serif; font-size: medium;'><em>Hill, R.A., M. Weber , S. Leibowitz , T. Olsen , and D.J. Thornbrugh. The Stream-Catchment (StreamCat) Dataset: A database of watershed metrics for the conterminous USA. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 9, (2015).</em></span></li> </ul> <span style='font-family: 'Avenir Next W01', 'Avenir Next W00', 'Avenir Next', Avenir, 'Helvetica Neue', sans-serif;'><span style='font-size: 16px;'><em><br /></em></span></span></div> <div style='font-size: 15px; font-family: 'Avenir Next', Avenir, 'Helvetica Neue', Helvetica, Arial, sans-serif;'> <div><span style='font-size: large;'><strong><u>TIGER/Line</u></strong></span></div> <div style='font-size: 16px;'>The TIGER/Line Shapefiles are an extract of selected geographic and cartographic information from the Census MAF/TIGER database. The Census MAF/TIGER database represents a seamless national file with no overlaps or gaps between parts. However, each TIGER/Line Shapefile is designed to stand alone as an independent data set or the shapefiles can be combined to cover the whole nation. In order for others to use the information in the Census MAF/TIGER database in a geographic information system (GIS) or for other geographic applications, the Census Bureau releases to the public extracts of the database in the form of TIGER/Line Shapefiles.</div> <div><span style='font-size: 16px;'>For complete metadata, please refer to the full TIGER/Line documentation </span><span style='font-size: medium;'>at: <a target='_blank' rel='noopener noreferrer'>TIGER/Line Metadata Link</a></span></div> <div> </div> <div> <div><strong><u><span style='font-size: large;'>USA Traffic Counts</span></u></strong></div> <div><span style='font-size: medium;'>USA_Traffic_Counts provides point level dataset that can be viewed at all map scales. Attributes include street names, one or more traffic counts and when they were taken, and direction to cross streets. Different types of traffic counts, such as average annual daily traffic, intersection counts, seasonal counts, and one-way counts, are available depending on the collection point. In this analysis annual average daily traffic counts were summarized within the catchment for streams which had roads crossing them. Not all roads contain traffic volume information and data was not extrapolated to produce values for those locations. <em>ESRI/</em></span></div> <div><span style='font-size: medium;'><em>Kalibrate TrafficMetrix</em>. </span><span style='font-size: medium;'> </span><a style='font-family: 'Avenir Next', Avenir, 'Helvetica Neue', Helvetica, Arial, sans-serif;' href='https://goto.arcgisonline.com/demographics5/USA_Traffic_Counts' target='_blank' rel='nofollow ugc noopener noreferrer'>https://goto.arcgisonline.com/demographics5/USA_Traffic_Counts</a></div> </div> </div> </div> <div><span style='font-family: inherit; font-size: medium;'> </span></div> <p style='margin-top: 0px; margin-bottom: 1.5rem; font-family: 'Avenir Next W01', 'Avenir Next W00', 'Avenir Next', Avenir, 'Helvetica Neue', sans-serif; font-size: 16px;'>The U.S. EPA Freshwater Explorer and related products are intended for exploratory and discussion purposes. Although statutory provisions and U.S. Environmental Protection Agency (EPA) regulations contain legally binding requirements, this document is not a regulation nor does it change or substitute those provisions or regulations. The document does not substitute for the Clean Water Act, a National Pollutant Discharge Elimination System permit, or EPA or state regulations applicable to permits; nor is this document a permit or regulation itself. Thus, it does not impose legally binding requirements on EPA, states, tribes, or the regulatory community. This document does not confer legal rights or impose legal obligations on any member of the public. Mention of any trade names, products, or services is not and should not be interpreted as conveying official EPA approval, endorsement, or recommendation.</p> <p style='margin-top: 0px; margin-bottom: 0px; font-family: 'Avenir Next W01', 'Avenir Next W00', 'Avenir Next', Avenir, 'Helvetica Neue', sans-serif; font-size: 16px;'> </p> <p style='margin-top: 0px; margin-bottom: 1.5rem; font-family: 'Avenir Next W01', 'Avenir Next W00', 'Avenir Next', Avenir, 'Helvetica Neue', sans-serif; font-size: 16px;'>While EPA has used its best efforts to include complete and accurate information in this system, EPA cannot be held responsible for errors or omissions and is not liable for any direct, indirect, or consequential damages resulting from using this secondary information. Some potential sources of error have been assessed by the U.S. EPA resulting in the removal of some samples from the original data sets. However, all sources of potential error cannot be eliminated from the measured data reported in the Freshwater Explorer or the data used to develop predictive models. Therefore, the U.S. EPA cannot fully ensure either the original data or the values calculated from them. Conclusions and assessments drawn from the use of the Freshwater Explorer are the responsibility of the user.</p> <p style='margin-top: 0px; margin-bottom: 0px; font-family: 'Avenir Next W01', 'Avenir Next W00', 'Avenir Next', Avenir, 'Helvetica Neue', sans-serif; font-size: 16px;'> </p> <p style='margin-top: 0px; margin-bottom: 1.5rem; font-family: 'Avenir Next W01', 'Avenir Next W00', 'Avenir Next', Avenir, 'Helvetica Neue', sans-serif; font-size: 16px;'>Please check sources, scale, accuracy, dates, and other available information. Please confirm that you are using the most recent copy of both data and metadata. Reliance on the information contained in this system by any party cannot be used as a defense in any administrative or judicial proceeding.</p> <p style='margin-top: 0px; margin-bottom: 0px; font-family: 'Avenir Next W01', 'Avenir Next W00', 'Avenir Next', Avenir, 'Helvetica Neue', sans-serif; font-size: 16px;'> </p> <p style='margin-top: 0px; margin-bottom: 1.5rem; font-family: 'Avenir Next W01', 'Avenir Next W00', 'Avenir Next', Avenir, 'Helvetica Neue', sans-serif; font-size: 16px;'>This mapping tool might be revised periodically. EPA can revise this story map without public notice to reflect changes in EPA policy, guidance, and advancements in the field of biological assessments. EPA welcomes public input on this document at any time. Send comments to FreshwaterExplorer@epa.gov, Center for Environmental Methods and Modeling, Office of Research and Development, U.S. Environmental Protection Agency, 26 W. Martin Luther King Dr, Cincinnati, OH 45268.</p> -134.9928153040816 -56.63627876442952 52.35784757719143 20.6493187501448 1 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 f857f594d3fb4e7cbba27e22d23cd849 https://services.arcgis.com/cJ9YHowT8TU7DUyn/arcgis/rest/services/National_Pollutant_Stream_Network_Impervious/FeatureServer Feature Service EPSG