John M. Bauer 2023 Hazus damage estimates for a 100-year flood event in King County, Washington vector digital data Portland, Oregon John M. Bauer, Bauer GIS Solutions, Portland, Oregon User-defined facilities (i.e., "buildings") in King County, Washington, together with a flood depth grid that represents a "100 year flood event", were used by a Hazus tool to estimate flood damages - specifically, building debris. Building data, once run in FEMA Hazus flood tool, provide emergency planners with building debris estimates from an major flood event that can be further summarized at jurisdictional or tribal levels. 2023 Complete None planned ISO 19115 Topic environment structure geoscientificinformation flood hazard Washington King County building flood zone Contact King County GIS Center, Department of Information Technology (KCIT) Credit King County GIS Center, Department of Information Technology (KCIT) Bauer GIS Solutions Portland Oregon jbauer.consult@gmail.com John M. Bauer jpeg image (.jpg) King County Solid Waste Division 2023 Debris Management Study Unclassified See KC_UDF_Flood_In for a discussion on the input attributes. The attribute accuracy of the output of the Hazus tool can be found in the User Guide found here: https://pubs.oregon.gov/dogami/ofr/p-O-18-04.htm All attributes conform to Hazus input specifications. All attributes fully populated. Buildings within the flood zone as defined by the accompanying FloodDepthGrid raster are included. This does not necessarily capture all structures in that flood zone, as the original UDF datasets have known omissions. It should, however, be a reasonable representation of the current building inventory within the flood zone. This dataset needs to be carefully examined for usage in other flooding scenarios, as it may not capture all the buildings in a more spatially extensive flooding scenario (e.g., a 500-year flood). Typically the point is at the building footprint centroid, but occasionally may be offset. Manual inspection and review removed erroneous buildings, and occasionally moved a building point to better represent its spatial relationship to the flood hazard. not applicable See accompanying report for how the UDF input data were processed. Also see https://pubs.oregon.gov/dogami/ofr/p-O-18-04.htm for a description of the tool that estimates debris on a per-building basis. Not all of the Hazus tool output fields were retained - only the ones that add value for purposes of this study. UserDefinedFltyId A unique identifier for the point. Can be any alphanumeric combination. UserDefinedFltyId String 8 0 0 OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. OccupancyClass One of 36 Hazus-defined occupancy classes OccupancyClass String 5 0 0 YearBuilt Year of building's construction. YearBuilt SmallInteger 2 0 0 Cost Building replacement cost. Note: NOT UPDATED to reflect 2023 construction costs. Cost Double 8 0 0 NumStories Number of stories the building has. NumStories SmallInteger 2 0 0 Area Building total square footage Area Single 4 0 0 FoundationType One of seven foundation types. See Hazus Flood manuals for further descriptions. FoundationType String 1 0 0 FirstFloorHt First floor height above surrounding grade. In feet. FirstFloorHt Double 8 0 0 Source UDF point came from either the FEMA 2017 study or the USACE National Structure Inventory 2022 Source String 10 0 0 JURIS King County GIS Dept-supplied jurisdiction abbreviation JURIS String 2 0 0 CITYNAME King County GIS Dept-supplied jurisdiction name CITYNAME String 75 0 0 AREANAME King County GIS Dept-supplied unincorporated county subdivision name AREANAME String 255 0 0 Tribe Name of federally recognized tribe Tribe String 50 0 0 Key Key String 100 0 0 Depth_Grid Depth in feet at the building point. Taken from the flood depth grid. Depth_Grid Single 4 0 0 Depth_in_Struc Depth in the building itself, adjusted by the First Floor Height. Depth_in_Struc Single 4 0 0 flExp Building is exposed or not exposed to flooding. flExp SmallInteger 2 0 0 SOID A lookup table key for use by the Hazus tool. SOID String 5 0 0 BldgDmgPct Loss ratio of the building (total repair cost divided by building total replacement cost BldgDmgPct Single 4 0 0 BDDF_ID BDDF_ID String 6 0 0 DebrisID A lookup table key for use by the Hazus tool. DebrisID String 12 0 0 Debris_Fin Finishing debris weight (in tons) Debris_Fin Single 4 0 0 Debris_Struc Structural debris weight (in tons) Debris_Struc Single 4 0 0 Debris_Found Foundation debris weight (in tons) Debris_Found Single 4 0 0 Debris_Tot Total debris weight (in tons). Combines Finishing, structural, and foundational debris. Debris_Tot Single 4 0 0 GridName Name of flood depth grid used in the analysis. GridName String 70 0 0 KC_UDF_Flood_Out Feature Class 8509 Prepared for King County, Washington Solid Waste Division Seattle Washington "GDB" Esri File Geodatabase 2023 2023 20231020 ArcGIS Metadata 1.0 Prepared for King County, Washington Solid Waste Division Seattle Washington 2023-01-01 "GDB" Esri File Geodatabase File Geodatabase Feature Class Hazus damage estimates for a 100-year flood event in King County, Washington 2023-01-01 John M. Bauer John M. Bauer, Bauer GIS Solutions, Portland, Oregon Portland, Oregon vector digital data Building data, once run in FEMA Hazus flood tool, provide emergency planners with building debris estimates from an major flood event that can be further summarized at jurisdictional or tribal levels. User-defined facilities (i.e., &quot;buildings&quot;) in King County, Washington, together with a flood depth grid that represents a &quot;100 year flood event&quot;, were used by a Hazus tool to estimate flood damages - specifically, building debris. Buildings in King County within the forecasted extent of a "100 year flood event". Used by a Hazus tool to estimate flood damages - specifically, building debris amounts. FEMA, Bauer GIS Solutions Bauer GIS Solutions Portland Oregon jbauer.consult@gmail.com John M. Bauer Washington King County flood zone building geoscientificinformation structure environment ISO 19115 Topic flood hazard flood zone Washington geoscientificinformation flood hazard building structure environment King County Contact King County GIS Center, Department of Information Technology (KCIT) King County data are made available with the understanding that they shall be used exclusively by the obtainer or his/her authorized agents. Digital products may not be reproduced or redistributed in any form or by any means without the express written authorization of King County.<div><br /></div><div><span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>Additional credits: John Bauer, Bauer GIS Solutions (jbauer.consult@gmail.com)</span></div> 2023-01-01 Version 6.2 (Build 9200) ; Esri ArcGIS 10.9.1.28388 1 -122.527603 -121.316342 47.776043 47.155233 All attributes fully populated. Buildings within the flood zone as defined by the accompanying FloodDepthGrid raster are included. This does not necessarily capture all structures in that flood zone, as the original UDF datasets have known omissions. It should, however, be a reasonable representation of the current building inventory within the flood zone. This dataset needs to be carefully examined for usage in other flooding scenarios, as it may not capture all the buildings in a more spatially extensive flooding scenario (e.g., a 500-year flood). All attributes conform to Hazus input specifications. All attributes fully populated. Buildings within the flood zone as defined by the accompanying FloodDepthGrid raster are included. This does not necessarily capture all structures in that flood zone, as the original UDF datasets have known omissions. It should, however, be a reasonable representation of the current building inventory within the flood zone. This dataset needs to be carefully examined for usage in other flooding scenarios, as it may not capture all the buildings in a more spatially extensive flooding scenario (e.g., a 500-year flood). See KC_UDF_Flood_In for a discussion on the input attributes. The attribute accuracy of the output of the Hazus tool can be found in the User Guide found here: https://pubs.oregon.gov/dogami/ofr/p-O-18-04.htm Typically the point is at the building footprint centroid, but occasionally may be offset. Manual inspection and review removed erroneous buildings, and occasionally moved a building point to better represent its spatial relationship to the flood hazard. not applicable See accompanying report for how the UDF input data were processed. Also see https://pubs.oregon.gov/dogami/ofr/p-O-18-04.htm for a description of the tool that estimates debris on a per-building basis. 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