20260407 11011100 1.0 FALSE USFS_R6_QWRA_eNVC_DW_30m -13942942.726300 -12939412.726300 5144960.155000 6282920.155000 1 Projected GCS_WGS_1984 Linear Unit: Meter (1.000000) WGS_1984_Web_Mercator_Auxiliary_Sphere <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.6.0'><WKT>PROJCS[&quot;WGS_1984_Web_Mercator_Auxiliary_Sphere&quot;,GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_WGS_1984&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Mercator_Auxiliary_Sphere&quot;],PARAMETER[&quot;False_Easting&quot;,0.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,0.0],PARAMETER[&quot;Standard_Parallel_1&quot;,0.0],PARAMETER[&quot;Auxiliary_Sphere_Type&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>148923141.92838538</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem> 8 FALSE None 1 AMD TRUE continuous unsigned integer 100000 100000 1000 20 2048 20 75 0.01 10 600 300 Basic 0 NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None None,JPEG,LZ77,LERC Basic None,Basic,Base-Top Height,Top-Top Shadow Height,Base-Top Shadow Height,3D -1 -1 0.8 1 NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None None,JPEG,LZ77,LERC None,Basic,Full NONE <_docversion_ Sync="TRUE">10 name,minps,maxps,lowps,highps,productname,metadata 307200 30 30720 0 0 -1 1 0 Generic name,minps,maxps,lowps,highps,tag,groupname,productname,centerx,centery,zorder,metadata,st_area(shape),st_perimeter(shape) minps,maxps,lowps,highps,centerx,centery,zorder,st_area(shape),st_perimeter(shape) 1 0 0 0 20260408 10172000 20260408 10192100 150000000 5000 FGDC USFS_R6_QWRA_eNVC_DW_30m Image Service Region 6 R6 United States Wildland Fire Service USWFS U.S. Forest Service USFS Bureau of Land Management BLM US Fish and Wildlife Service USFWS Washington Department of Natural Resources WADNR Oregon Department of Forestry ODF Oregon State Fire Marshall OSFM Tribal Tribes private Oregon OR Washington WA wildfire risk quantitative wildfire risk assessment QWRA highly valued resources and assets HVRA Pacific Northwest PNW expected net value change eNVC drinking water Corporate data contained within this raster is intended for spatial display and analysis purposes. This layer depicts the expected net value change (eNVC) for the drinking water highly valued resource and asset (HVRA) in the Pacific Northwest's (PNW) quantitative wildfire risk assessment (QWRA) 2025. The eNVC represents the expected fire impacts at any location based on which HVRAs are present, the expected fire behavior, and considers the annual likelihood of wildfire occurring. The fire hazard data used captures disturbance, fuel treatments, and fire history through calendar year 2024. HVRAs, relative importance, and response function are unchanged from the 2023 QWRA. Data finalized and released 10/31/2025. <div style='text-align:Left;'><div><div><div style='font-size:12pt'><p style='margin:0 0 0 0;'><span><span>This dataset is a product of the PNW QWRA 2025. The purpose of the PNW QWRA 2025 is to provide foundational information about wildfire risk across the Pacific Northwest Region (which encompasses the states of Oregon and Washington). Analytics from the QWRA are used to guide vegetation management, fire response, and community planning at multiple scales.</span></span></p><p><p style='margin:0 0 0 0;'><span><span>A QWRA considers several different components, each resolved spatially across the region, including:</span></span></p><ul><li><p style='margin:0 0 0 0;'><span><span> - likelihood of a fire burning, </span></span></p></li><li><p style='margin:0 0 0 0;'><span><span> - the intensity of a fire if one should occur,</span></span></p></li><li><p style='margin:0 0 0 0;'><span><span> - the exposure of assets and resources based on their locations, and </span></span></p></li><li><p style='margin:0 0 0 0;'><span><span> - the susceptibility of those assets and resources</span></span></p></li></ul><p><p style='margin:0 0 0 0;'><span>Data users are encouraged to refer to the PNW QWRA 2023 Methods Report for full details: </span><a href='https://oe.oregonexplorer.info/externalcontent/wildfire/PNW_QWRA_2023Methods.pdf' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>https://oe.oregonexplorer.info/externalcontent/wildfire/PNW_QWRA_2023Methods.pdf</span></span></a></p><p style='margin:0 0 0 0;'><span /></p><p style='margin:0 0 0 0;'><span>The PNW QWRA 2025 evaluated risk to eight highly-valued resources and assets (HVRAs): People and Property, Infrastructure, Drinking Water, Timber, Ecological Integrity, Wildlife Habitat, Agriculture, and Recreation. This data layer, Drinking Water eNVC, represents risk integrated across all Drinking Water sub-HVRAs. The Drinking Water HVRA is intended to evaluate the risk of post-wildfire sediment delivery to drinking water sources. We mapped and characterized Drinking Water sub-HVRAs using surface drinking water intake locations and source water areas provided by the Oregon Health Authority and the Washington Department of Health. Sub-HVRAs included:</span></p><p style='margin:0 0 0 24;'><span><span>1. Lowest population served</span></span></p><p style='margin:0 0 0 24;'><span><span>2. Low population served</span></span></p><p style='margin:0 0 0 24;'><span><span>3. Moderate population served</span></span></p><p style='margin:0 0 0 24;'><span><span>4. High population served</span></span></p><p style='margin:0 0 0 24;'><span><span>5. Highest population served</span></span></p><p><p style='margin:0 0 0 0;'><span><span>The susceptibility of Drinking Water sub-HVRAs was a function of the distance to the nearest drinking water source and erosion potential based on soil characteristics. </span></span></p><p><p style='margin:0 0 0 0;'><span><span>Risk is estimated within the QWRA framework by integrating wildfire hazard with HVRA susceptibility (Scott et al., 2013). Risk is calculated for each pixel separately based on the fire hazard data for that pixel and based on which HVRAs are present. Fire impacts to each HVRA are characterized by the estimated change in value, a unitless approximation of whether the HVRA is beneficially or adversely affected by fire and to what magnitude. Accordingly, risk is expressed as net value change (NVC). Net value change is first calculated for all pixels across a sub-HVRA. The NVC for each HVRA is then calculated by summing the NVC of all its constituent sub-HVRAs. Positive values indicate that wildfire is likely to have beneficial impacts on the HVRA while negative values indicate that the net outcomes are likely to be adverse. Risk is calculated based on a very wide range of plausible weather conditions, much wider than the range under which we have typically experienced large fires in the past. The specific conditions under which a wildfire occurs will determine the outcomes. When interpreting QWRA risk results bear in mind that fire will not always be beneficial in areas with positive NVC values and likewise it may be possible to experience beneficial fire in areas with negative NVC values. </span></span></p><p style='margin:0 0 0 0;'><span /></p><p style='margin:0 0 0 0;'><span style='font-weight:bold;'><span>Primary Data Contact:</span></span><span><span> Ian Rickert, Regional Fire Planner, Forest Service R6/R10, </span><a href='mailto:ian.rickert@usda.gov' style='text-decoration:underline;'><span>ian.rickert@usda.gov</span></a></span></p><p><p style='margin:0 0 0 0;'><span>Citations:</span></p><p><p style='margin:0 0 0 0;'><span>Scott, J.H., Thompson, M.P., Calkin, D.E., 2013. A wildfire risk assessment framework for land and resource management (No. RMRS-GTR-315). U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, Ft. Collins, CO. </span><a href='https://doi.org/10.2737/RMRS-GTR-315' style='text-decoration:underline;'><span>https://doi.org/10.2737/RMRS-GTR-315</span></a></p><p style='margin:0 0 0 0;'><span /></p><p style='margin:0 0 0 0;'><span>Finney, M.A., McHugh, C.W., Grenfell, I.C., Riley, K.L., Short, K.C., 2011. A simulation of probabilistic wildfire risk components for the continental United States. Stoch Environ Res Risk Assess 25, 973–1000. </span><a href='https://doi.org/10.1007/s00477-011-0462-z' style='text-decoration:underline;'><span>https://doi.org/10.1007/s00477-011-0462-z</span></a></p></div></div></div></div></p></p></p></p></p></p> This assessment was completed by Oregon State University in collaboration with the Oregon Department of Forestry, Washington State Department of Natural Resources, the U.S. Bureau of Land Management and the U.S. Forest Service. <div style='text-align:Left;'><div><div><p style='margin:0 0 14 0;'><span><span>The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly. As a work of the United States Government, these data are within the public domain of the United States.</span></span></p><p style='margin:0 0 14 0;'><span><span>Additionally, the U.S. Forest Service waives copyright and related rights in the work worldwide through the CC0 (which can be found at </span></span><a href='https://creativecommons.org/public-domain/cc0/' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>https://creativecommons.org/public-domain/cc0/</span></span></a><span><span>).</span></span></p><p style='font-weight:bold;margin:0 0 14 0;'><span><span>Non-Discrimination Statement</span></span></p><p style='margin:0 0 14 0;'><span><span>In accordance with Federal civil rights law and U.S. Department of Agriculture (USDA) civil rights regulations and policies, the USDA, its Agencies, offices, and employees, and institutions participating in or administering USDA programs are prohibited from discriminating based on race, color, national origin, religion, sex, disability, age, marital status, family/parental status, income derived from a public assistance program, political beliefs, or reprisal or retaliation for prior civil rights activity, in any program or activity conducted or funded by USDA (not all bases apply to all programs). Remedies and complaint filing deadlines vary by program or incident.</span></span></p><p style='margin:0 0 14 0;'><span><span>Persons with disabilities who require alternative means of communication for program information (e.g., Braille, large print, audiotape, American Sign Language, etc.) should contact the State or local Agency that administers the program or contact USDA through the Telecommunications Relay Service at 711 (voice and TTY). Additionally, program information may be made available in languages other than English.</span></span></p><p style='margin:0 0 14 0;'><span><span>To file a program discrimination complaint, complete the USDA Program Discrimination Complaint Form, AD-3027, found online at </span></span><a href='https://www.usda.gov/oascr/how-to-file-a-program-discrimination-complaint' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>How to File a Program Discrimination Complaint</span></span></a><span><span> and at any USDA office or write a letter addressed to USDA and provide in the letter all of the information requested in the form. To request a copy of the complaint form, call (866) 632-9992. Submit your completed form or letter to USDA by: (1) mail: U.S. Department of Agriculture, Office of the Assistant Secretary for Civil Rights, 1400 Independence Avenue, SW, Mail Stop 9410, Washington, D.C. 20250-9410; (2) fax: (202) 690-7442; or (3) email: </span></span><a href='mailto:program.intake@usda.gov' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>program.intake@usda.gov</span></span></a><span><span>.</span></span></p><p style='margin:0 0 14 0;'><span><span>USDA is an equal opportunity provider, employer, and lender.</span></span></p><div style='font-size:12pt'><p style='margin:0 0 0 0;'><span /></p><p style='margin:0 0 0 0;'><span><span>Oregon State University makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible for verifying the limitations of the geospatial data and using the data accordingly.</span></span></p></div></div></div></div> Esri ArcGIS 13.6.0.59527 1 -125.251586 -116.236722 49.047471 41.892969 EPSG 6.18.3(9.3.1.2) 2 1 0 -13942942.726300 5144960.155000 -13942942.726300 6282920.155000 -12939412.726300 6282920.155000 -12939412.726300 5144960.155000 -13441177.726300 5713940.155000 33451 30.000000 37932 30.000000 Band_1 5.000000 1.000000 8 20260408 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