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(DEQ, 2020)

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{AU_status}
Impaired Uses: {Impaired_Uses}
Impairment Cause: {Impairment_cause}
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(DEQ, 2020)

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Category 5 Parameters: {Category_5_parameters}
Category 4 Parameters: {Category_4_parameters}
Category 4A Parameters: {Category_4A_parameters}
Category 4B Parameters: {Category_4B_parameters}
Category 4C Parameters: {Category_4C_parameters}
Category 3B Parameters: {Category_3B_parameters}
Category 3C Parameters: {Category_3C_parameters}
Category 3D Parameters: {Category_3D_parameters}
Category 3 Parameters: {Category_3_parameters}
Category 2 Parameters: {Category_2_parameters}



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Sengupta, M., Y. Xie, A. Lopez, A. Habte, G. Maclaurin, and J. Shelby. 2018. \"The National Solar Radiation Data Base (NSRDB).\" Renewable and Sustainable Energy Reviews 89 (June): 51-60.

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Sengupta, M., Y. Xie, A. Lopez, A. Habte, G. Maclaurin, and J. Shelby. 2018. \"The National Solar Radiation Data Base (NSRDB).\" Renewable and Sustainable Energy Reviews 89 (June): 51-60.

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Values are reported in MWh. Learn More
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Distance to Substation (m): {d_sub}
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"https://oe.oregonexplorer.info/externalcontent/metadata/CandidateProjectArea_SOLAR_SL1_meta.pdf" }, { "encodeUriReplacementValues": "Automatic", "iconUri": null, "target": "_blank", "text": "Download", "toolTip": null, "uri": "https://oe.oregonexplorer.info/externalcontent/spatialdatafordownload/Candidate_Project_Area_Resource_Potential_OR_20210405.zip" } ], "arcadeExpressions": [], "isDynamic": false, "dynamicDefinition": null, "themeSettings": [], "tileLevelLimits": [] }, { "id": "6", "name": "Estimated Annual Solar Utility-Scale Capacity Factor", "nativeID": "6", "displayName": "Estimated Annual Solar Utility-Scale Capacity Factor", "description": "This dataset provides indication of utility scale solar resource potential, in terms of quality and quantity, for the State of Oregon.

Values are reported in terms of estimated annual capacity factor, a measure of solar resource quality. Capacity factor indicates the amount of energy produced in a typical year, as a fraction of maximum possible energy, if the facility were producing at full nameplate capacity, for 100% of the hours of the year. For example, a 100 MW solar power plant with 21% capacity factor would generate 100 MW x 8760 hrs/yr x 21% = 183,960 MWh/yr.Learn More
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Sengupta, M., Y. Xie, A. Lopez, A. Habte, G. Maclaurin, and J. Shelby. 2018. \"The National Solar Radiation Data Base (NSRDB).\" Renewable and Sustainable Energy Reviews 89 (June): 51-60.

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Values are reported in MWh. Learn More
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Annual Generation (MWh):
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Distance to Substation (m): {d_sub}
Distance to Nearest Road (m): {d_road}

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indication of wind resource potential, in terms of quality and quantity, for the State of Oregon.

Values are reported in terms of estimated annual capacity factor, a measure of wind resource quality. Capacity factor indicates the amount of energy produced in a typical year, as a fraction of maximum possible energy, if the facility were producing at full nameplate capacity, for 100% of the hours of the year. For example, a 100 MW wind power plant with 28% capacity factor would generate 100 MW x 8760 hrs/yr x 28% = 245,280 MWh/yr.
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Values are reported in terms of estimated annual capacity factor, a measure of wind resource quality. Capacity factor indicates the amount of energy produced in a typical year, as a fraction of maximum possible energy, if the facility were producing at full nameplate capacity, for 100% of the hours of the year. For example, a 100 MW wind power plant with 28% capacity factor would generate 100 MW x 8760 hrs/yr x 28% = 245,280 MWh/yr. Learn More
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Values are reported in MWh. Learn More
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Distance to Substation (m): {d_sub}
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Speed at 100-Meter above Surface Level", "description": "This data provides modeled annual average wind speed for the contiguous United States both onshore and offshore for the period 2007–2013. This dataset was derived from the WIND Toolkit. Citations: Draxl, C., B.M. Hodge, A. Clifton, and J. McCaa. 2015. Overview and Meteorological Validation of the Wind Integration National Dataset Toolkit (Technical Report, NREL/TP-5000-61740). Golden, CO: National Renewable Energy Laboratory. Draxl, C., B.M. Hodge, A. Clifton, and J. McCaa. 2015. \"The Wind Integration National Dataset (WIND) Toolkit.\" Applied Energy 151: 355366. Lieberman-Cribbin, W., C. Draxl, and A. Clifton. 2014. Guide to Using the WIND Toolkit Validation Code (Technical Report, NREL/TP-5000-62595). Golden, CO: National Renewable Energy Laboratory. King, J., A. Clifton, and B.M. Hodge. 2014. Validation of Power Output for the WIND Toolkit (Technical Report, NREL/TP-5D00-61714). Golden, CO: National Renewable Energy Laboratory.Draxl, C., B.M. Hodge, A. Clifton, and J. McCaa. 2015. Overview and Meteorological Validation of the Wind Integration National Dataset Toolkit (Technical Report, NREL/TP-5000-61740). Golden, CO: National Renewable Energy Laboratory. Draxl, C., B.M. Hodge, A. Clifton, and J. McCaa. 2015. \"The Wind Integration National Dataset (WIND) Toolkit.\" Applied Energy 151: 355366. Lieberman-Cribbin, W., C. Draxl, and A. Clifton. 2014. Guide to Using the WIND Toolkit Validation Code (Technical Report, NREL/TP-5000-62595). Golden, CO: National Renewable Energy Laboratory. King, J., A. Clifton, and B.M. Hodge. 2014. Validation of Power Output for the WIND Toolkit (Technical Report, NREL/TP-5D00-61714). Golden, CO: National Renewable Energy Laboratory.

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This dataset contains information about the biomass resources generated by county in the United States. It includes the following feedstock categories: crop residues, forest residues, primary mill residues, secondary mill residues, and urban wood waste.
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The project estimated the naturally available and technically recoverable U.S. wave energy resources, using a 51-month Wavewatch III hindcast database developed especially for this study by National Oceanographic and Atmospheric Administration's (NOAA's) National Centers for Environmental Prediction. For total resource estimation, wave power density in terms of kilowatts per meter is aggregated across a unit diameter circle. This approach is fully consistent with accepted global practice and includes the resource made available by the lateral transfer of wave energy along wave crests, which enables densities within a few kilometers of a linear array, even for fixed terminator devices.
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Wave energy period is a sea state parameter, derived from the zeroth and first negative moments of the frequency spectrum. It is the period corresponding to the weighted average of the wave energy.

The project estimated the naturally available and technically recoverable U.S. wave energy resources, using a 51-month Wavewatch III hindcast database developed especially for this study by National Oceanographic and Atmospheric Administration's (NOAA's) National Centers for Environmental Prediction. For total resource estimation, wave power density in terms of kilowatts per meter is aggregated across a unit diameter circle. This approach is fully consistent with accepted global practice and includes the resource made available by the lateral transfer of wave energy along wave crests, which enables densities within a few kilometers of a linear array, even for fixed terminator devices.
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Significant wave height is a spectrally derived time-series, which is the average of the highest third of the waves in a random seaway and roughly corresponds to the mean wave height.

The project estimated the naturally available and technically recoverable U.S. wave energy resources, using a 51-month Wavewatch III hindcast database developed especially for this study by National Oceanographic and Atmospheric Administration's (NOAA's) National Centers for Environmental Prediction. For total resource estimation, wave power density in terms of kilowatts per meter is aggregated across a unit diameter circle. This approach is fully consistent with accepted global practice and includes the resource made available by the lateral transfer of wave energy along wave crests, which enables densities within a few kilometers of a linear array, even for fixed terminator devices.
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April: {apr_ssh}
October: {oct_ssh}
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The project estimated the naturally available and technically recoverable U.S. wave energy resources, using a 51-month Wavewatch III hindcast database developed especially for this study by National Oceanographic and Atmospheric Administration's (NOAA's) National Centers for Environmental Prediction. For total resource estimation, wave power density in terms of kilowatts per meter is aggregated across a unit diameter circle. This approach is fully consistent with accepted global practice and includes the resource made available by the lateral transfer of wave energy along wave crests, which enables densities within a few kilometers of a linear array, even for fixed terminator devices.
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The Geoform Component describes the major geomorphic and structural characteristics of the coast and seafloor. This component is divided into four subcomponents that describe tectonic and physiographic settings and two levels of geoform elements (based upon the scale of the features) that include geological, biogenic, and anthropogenic geoform features. Representative units include lagoon, ledge, tidal channel/creek, and moraine.
(OCMP, 2014)", "defaultVisibility": false, "featureType": "Polygon", "type": "FeatureLayer", "maxScale": 0, "minScale": 0, "visible": false, "initiallyVisible": false, "showMapTips": true, "identifiable": true, "queryable": true, "searchable": false, "supportsIdentify": true, "supportsQuery": true, "canCopyFeature": true, "snappable": true, "snappingEnabled": false, "hasAttachments": false, "featureZoomFactor": null, "featureZoomScale": null, "featureBorderColor": null, "featureBorderWidth": null, "featureFillColor": null, "showFeatureHyperlinks": "ShowAll", "iconUri": null, "includeInLayerList": true, "includeInLegend": true, "allowSymbolization": true, "legendUrl": null, "styleName": null, "drawIndex": null, "canToggleLabels": true, "showLabels": true, "dataProvider": null, "featureLabel": "{LayerDisplayName}", "featureDescription": "
CMECS Geoform Component code: {CARTOG}

Estuary: {ESTUARY}

see metadata for code definitions: https://www.coastalatlas.net/metadata/CMECS_Geoform_Component_OCMP_2014.html
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CMECS Geoform Component code: {CARTOG}

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When a species is proposed for listing as endangered or threatened under the Endangered Species Act, the U.S. Fish and Wildlife Service must consider whether there are areas of habitat believed to be essential the species’ conservation. Those areas may be proposed for designation as “critical habitat.” Critical habitat is a term defined and used in the Act. It is a specific geographic area(s) that contains features essential for the conservation of a threatened or endangered species and that may require special management and protection. Critical habitat may include an area that is not currently occupied by the species but that will be needed for its recovery. An area is designated as “critical habitat” after the Service publishes a proposed Federal regulation in the Federal Register and receives and considers public comments on the proposal. The final boundaries of the critical habitat are also published in the Federal Register. Critical habitat are areas considered essential for the conservation of a listed species. Federal agencies are required to consult with the U.S. Fish and Wildlife Service on actions they carry out, fund, or authorize to ensure that their actions will not destroy or adversely modify critical habitat. These areas provide notice to the public and land managers of the importance of these areas to the conservation of a listed species. Special protections and/or restrictions are possible in areas where Federal funding, permits, licenses, authorizations, or actions occur or are required.

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Contact the Service's Regional Wetland Coordinator for additional information on what types of farmed wetlands are included on wetland maps. This dataset should be used in conjunction with the Wetlands_Project_Metadata layer, which contains project specific wetlands mapping procedures and information on dates, scales and emulsion of imagery used to map the wetlands within specific project boundaries.
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and state agencies, is used by the National Flood Insurance Program (NFIP) as the standard for floodplain management and to determine the need for flood insurance. A structure located within a special flood hazard area (SFHA) shown on an NFIP map has a 26 percent chance of suffering flood damage during the term of a 30-year mortgage.” (Federal Emergency Management Agency (FEMA), 2003). 

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Status 2: An area having permanent protection from conversion of natural land cover and a mandated management plan in operation to maintain a primarily natural state, but which may receive uses or management practices that degrade the quality of existing natural communities, including suppression of natural disturbance.

PAD-US is America’s official national inventory of U.S. terrestrial and marine protected areas (List of National Geospatial Data Assets) that are dedicated to the preservation of biological diversity and to other natural, recreation and cultural uses, managed for these purposes through legal or other effective means.
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The Easements feature class contains data provided directly from the National Conservation Easement Database (NCED, http://conservationeasement.us ) The MPA and Easement feature classes contain some attributes unique to the sole source databases tracking them (e.g. Easement Holder Name from NCED, Protection Level from NOAA MPA Inventory). The \"Combined\" feature class integrates all fee, easement and MPA features as the best available national inventory of protected areas in the standard PAD-US framework. In addition to geographic boundaries, PAD-US describes the protection mechanism category (e.g. fee, easement, designation, other), owner and managing agency, designation type, unit name, area, public access and state name in a suite of standardized fields. An informative set of references (i.e. Aggregator Source, GIS Source, GIS Source Date) and \"local\" or source data fields provide a transparent link between standardized PAD-US fields and information from authoritative data sources. The areas in PAD-US are also assigned conservation measures that assess management intent to permanently protect biological diversity: the nationally relevant \"GAP Status Code\" and global \"IUCN Category\" standard. A wealth of attributes facilitates a wide variety of data analyses and creates a context for data to be used at local, regional, state, national and international scales. More information about specific updates and changes to this PAD-US version can be found in the Data Quality Information section of this metadata record as well as on the PAD-US website, http://gapanalysis.usgs.gov/padus/data/history/.) 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Acre Feet: {acre_feet}
Source: {source}
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Use: {use_code_description}
Max Rate (CFS): {max_rate_cfs}
Source: {source}
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Water bodies in this feature are represented as points at the centroid of a polygon and the attribute table contains the assessment data associated with that water body. Spatial information for the water bodies as polygons is provided in the feature ORLakesAssessed_2010. These features should be used in conjunction with the feature ORStreamsWaterQuality_2010. A water body may have assessment information for multiple pollutants or conditions, and may have multiple data records associated with the spatial representation of the water body or segment of the water body. Oregon’s 2010 Integrated Report Assessment Database and 303(d) List are available on-line at www.deq.state.or.us/wq/assessment/rpt2010/search.asp. The on-line searchable database should be used in conjunction with this geodatabase, and is the reference source to verify all attribute information about water quality and to obtain assessment information about water bodies that do not have georeferenced locations. 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This feature does not include additions to the 303(d) list that were proposed by EPA in March 2012.A ReadMe file accompanies the geodatabase and users are encouraged to see the document for additional details.\n\nMetadata:\nhttp://oe.oregonexplorer.info/ExternalContent/metadata/waterqualitystreams.xml\n\nDownload:\nhttp://navigator.state.or.us/sdl/data/mdb/k100/WQ_2010_Report.zip", "defaultVisibility": false, "featureType": "Line", "type": "FeatureLayer", "maxScale": 0, "minScale": 0, "visible": false, "initiallyVisible": false, "showMapTips": false, "identifiable": true, "queryable": true, "searchable": false, "supportsIdentify": true, "supportsQuery": true, "canCopyFeature": true, "snappable": true, "snappingEnabled": false, "hasAttachments": false, "featureZoomFactor": null, "featureZoomScale": null, "featureBorderColor": null, "featureBorderWidth": null, "featureFillColor": null, "showFeatureHyperlinks": "ShowAll", "iconUri": null, "includeInLayerList": false, "includeInLegend": 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regulatory effort by department staff. 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Water availability is the amount of water that can be appropriated from a given point on a given stream for new out-of-stream consumptive uses. It is obtained from the natural stream flow by subtracting existing in-stream flow requirements and out-of-stream consumptive uses. For a detailed description of the Water Availability Report program and the methodology used to develop it, you may review the report titled Determining Water Availability in Oregon.Ideally a water availability calculation would be done for every watershed associated with a point of diversion or an in-stream water right. A watershed, in this case, includes all lands draining to the stream upstream of the point of diversion or the downstream end of an in-stream water right reach. Because there are so many water rights, the ideal approach is impractical.The practical alternative is to limit the number of watersheds for which water availability is calculated. The delineation of these watersheds depends on the location of in-stream demands and on the physiography of affected streams. Generally watersheds are defined above the mouths of significant tributaries, on main channels above significant tributaries and for all in-stream demands.These delineated watersheds are referred to as Water Availability Basins (WABs). Water availability is estimated at the downstream end, or pour point, of each WAB. Large drainage areas( e.g. the Rogue and Umpqua basins) are broken into a number of WABs. The WABs are nested, each upstream WAB being included in a WAB downstream. For water to be available in a given WAB, it must be available in all the other watersheds in which it is nested

Water Availability Reporting System (OWRD)

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Water Availability Reporting System (OWRD)

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Within the statement for each aquifer system, the comment lists all the concerning data points in that township and aquifer system.

See report text for detail:
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Comment: {comment_1}

The concerns map and concern ratings treat aquifer systems as connected. However, the narrative description of individual sources of concern indicates which aquifer system is associated with each concern. Therefore, the comment for each township comprises a set of statements grouped by aquifer system. The aquifer system is indicated by a  4-letter code:

UNKN    Unknown, or no aquifer system specified for the data source
QLTS    Quaternary-Late Tertiary Sediment Aquifers
QLTV    Quaternary-Late Tertiary Volcanic and Volcaniclastic Rock Aquifers
LTBA    Late Tertiary Basalt Aquifers
METV    Middle-Early Tertiary Volcanic and Volcaniclastic Rock Aquifers
TMVS    Tertiary Marine Volcanic and Sedimentary Rock Aquifers
MZGR    Mesozoic Granitic Rock Aquifers
MPRK    Mesozoic-Paleozoic Rock Aquifers

Within the statement for each aquifer system, the comment lists all the concerning data points in that township and aquifer system.

See report text for detail

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