false Simple FALSE 17 TRUE FALSE CIVAAirport Feature Class 17 ASSOCIATED This attribute is from the original WSDOT feature class. Associated Geographic Place. Nearest Geographic Entity to Airport. This is most often the nearest WA city or populated place. false ASSOCIATED String 15 0 0 CivaAirportID unique ID added for internal purposes false CivaAirportID SmallInteger 2 5 0 County The county in which the asset is located. false County String 255 0 0 CriticalCategory the criticality category of the asset, based on "Criticality" 1 - 3 Low 4 - 6 Moderate 7 - 10 High false CriticalCategory String 20 0 0 Criticality This number is a measure of the criticality of an asset, in the opinion of the workshop participants. "1" means least critical while "10" means very critical. false Criticality Double 8 38 8 Impact This number is a measure of the potential impact of climate change scenarios, in the opinion of workshop participants. The Copalis Beach airport has two values in this field; the first is for 2 feet sea level rise, and the second is for 4 feet sea level rise. 1 - 3 reduced capacity 4 - 6 temporary operational failure 7 - 10 complete failure false Impact String 255 0 0 ImpactCategory the impact category of the asset, based on "Impact" 1 - 3 Low 4 - 6 Moderate 7 - 10 High false ImpactCategory String 20 0 0 IssueNotes Notes about issues related to a particular airport. false IssueNotes String 250 0 0 LineID This attribute is from the original WSDOT feature class. Combination of the Airport ID and Runway Designation. false LineID String 15 0 0 MAINTAREA The WSDOT maintenance area in which the asset was located at the time of the workshops. false MAINTAREA String 255 0 0 NAME This attribute is from the original WSDOT feature class. Official Airport Name. false NAME String 50 0 0 OBJECTID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. false OBJECTID OID 4 10 0 RegionCode The WSDOT region in which the asset was located at the time of the workshops. false RegionCode String 255 0 0 Shape Feature geometry. ESRI Coordinates defining the features. false Shape Geometry 4 0 0 STATE This attribute is from the original WSDOT feature class. State Emergency Airports. This field indicates airports that WSDOT designates as State Owned Emergency Airports. false STATE String 11 0 0 WorkshopNotes notes about the airport from the workshop false WorkshopNotes String 255 0 0 WorkshopNotes2 continuation of WorkshopNotes false WorkshopNotes2 String 255 0 0 WorkshopNotes3 continuation of WorkshopNotes2 false WorkshopNotes3 String 255 0 0 WorkshopNotes4 continuation of WorkshopNotes3 false WorkshopNotes4 String 255 0 0 Kathy Prosser WSDOT Environmental Services Office, Environmental Information Program Environmental GIS/GPS Data Steward 360-705-7478 360-705-6833 P.O. Box 47331 Olympia WA 98504 US prossek@wsdot.wa.gov 20220124 ArcGIS Metadata 1.0 Jordyn Mitchell Washington State Department of Transportation, Office of Information Technology GIS Database Administrator 360-705-7645 PO Box 47430 Olympia WA 98504-7430 US mitchejo@wsdot.wa.gov none Download individual data sets from http://www.wsdot.wa.gov/mapsdata/geodatacatalog/default.htm Feature Class Climate Impacts - State Airport Vulnerability Assessment (WSDOT), Climate Impacts Vulnerability Assessment Team vector digital data The Washington State Department of Transportation (WSDOT) developed this data set in fulfillment of a grant from the Federal Highway Administration (FHWA) to test a conceptual climate risk assessment model developed for transportation infrastructure. WSDOT applied the model using scenario planning in a series of statewide workshops, using local experts, to create qualitative assessment of climate vulnerability on its assets in each region and mode across Washington. For the purposes of this statewide effort, managed assets were defined as sections of highway or railroad, and whole facilities (Ferry Terminal or Airport). Fourteen workshops engaged experts across all WSDOT regions, state ferries, rail, and aviation. The outcome of each workshop was a subjective evaluation of asset vulnerability agreed upon by participants. This feature class contains the results for airports. This study assumed 100% probability of climate change impacts previously identified in the University of Washington Climate Impacts Group's 2009 assessment. Types of impacts discussed in the workshops with local experts included: temperature changes, increase in extreme weather events, precipitation changes, sea level rise, fire risk, and high winds. The scientific community's understanding of climate impacts continues to evolve as the models and collective understanding of feedback systems improve. We do not have perfect information about exactly how, when, where, and to what magnitude climate changes will unfold in Washington State. After reviewing the extreme weather events and other impacts projected for their area, workshop participants defined sections of highway, rail, or specific facilities with consideration of the local geology, natural and constructed drainage and hydrology, elevation, slope, land use and operational maintenance issues. Once defined, each corridor or facility was then ranked for two variables: asset criticality and potential impact. Asset criticality (which was defined by the workshop participants) should not be confused with other measures such as highway functional class. 1) How critical is that site or corridor to overall transportation operations and public safety? The following scale guided the qualitative assessment of criticality: a. 1-3 = Low - facility/corridor with low daily traffic, available alternate routes, not part of the National Highway System b. 4-6 = Medium - facility/corridor has low to medium daily traffic, serves as an alternate route of other state corridors or facilities c. 7-10 = High - facility/corridor is an Interstate or other major highway, is considered a lifeline route or is the sole access to a population center or critical facility. 2) How might potential climate changes impact site or corridor operations? The following scale guided the assessment of climate impacts: a. 1-3 = Low - Reduced Capacity: facility/corridor partially open to use and full operations can be restored within 10 days b. 4-6 = Medium - Temporary Operational Failure: Facility/corridor closed for hours or days. Reopening or repair could be completed within 60 days. c. 7-10 = High - Complete Failure: facility/corridor likely to require major repair or rebuild with closures lasting more than 60 days These qualitative rankings for impacts and asset criticality and some general descriptions were captured in spreadsheets that were later used to create GIS layers. This data is intended for use in statewide or regional planning and to assist in adapting maintenance and engineering policies and practices to protect our transportation infrastructure over the coming decades. The rankings here were based on our knowledge and understanding at the time of the study, and should only be taken as a best professional estimate for considering potential conditions that might put people or infrastructure at risk. Current information about projected climate changes and asset use and condition should always be taken into account, especially as time progresses. This data provides local experts evaluation of an airport's vulnerability to extreme weather events and other potential climate change impacts. It is primarily intended for use in transportation planning to ensure that consideration is given for protecting and minimizing damage from such events or conditions. These evaluations were developed in local workshops around the state and they assumed the best available climate change impact information in 2011. Ground conditions and climate change scenarios will change over time, thus users should validate the implications of this data against the current best available information. WSDOT Climate Impacts Vulnerability Assessment Team: Mark Maurer, Carol Lee Roalkvam, Sandra L. Salisbury, Elizabeth Goss, Mark Gabel, Elizabeth Lanzer, Tanya Johnson, Casey Kramer, Jim Park, Rebecca Nichols. Sandy Salisbury WSDOT Project Development Division, Design Office Roadside and Site Development Manager 360-705-7245 360-705-6815 salisbs@wsdot.wa.gov Washington State WA climate change criticality vulnerability aviation sea level rise (SLR) airport impact climate change Washington State criticality WA vulnerability aviation sea level rise (SLR) airport impact The Washington State Department of Transportation shall not be liable for any activity involving this data with regard to lost profits or savings or any other consequential damages; or the fitness for use of the data for a particular purpose; or the installation of the data, its use, or the results obtained. For Planning Only. Not suitable for site specific use. This data is for planning purposes. It is not suitable for site specific use. WSDOT views this as a vulnerability assessment rather than a traditional risk assessment. Ground conditions and climate change scenarios will change over time, thus users should validate the implications of this data against the current best available information. Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1.11595 -124.320458 -116.770831 45.865885 49.022714 ground condition 2011-03-01 2011-10-31 Climate Impacts Vulnerability Assessment Report: http://www.wsdot.wa.gov/NR/rdonlyres/B290651B-24FD-40EC-BEC3-EE5097ED0618/0/WSDOTClimateImpactsVulnerabilityAssessmentforFHWA_120711.pdf Lidar data obtained from the Puget Sound Region Council LiDAR Consortium. 1 -124.320458 -116.770831 49.022714 45.865885 Attributes were updated for the Bandera Airport. Kathy Prosser WSDOT ESO Environmental Information Program Environmental GIS/GPS Data Steward 360-705-7478 360-705-6833 P.O. Box 47331 Olympia WA 98504-7331 US ProsseK@wsdot.wa.gov The airport points are from the WSDOT airports feature class, TransFeatures.BASE.AirportsWSDOT. WSDOT vulnerability assessment workshop data was compiled in an Excel spreadsheet. The first step in the conversion of the workshop data into GIS data was to format the spreadsheet so it could be used in ArcGIS 10. The spreadsheet was then joined to selected airports from TransFeatures.BASE.AirportsWSDOT based on the airport name, and exported to a new feature class. The data fields are limited to those climate impacts that were discussed in the airport workshop. Tanya Johnson WSDOT Environmental Services Office, Environmental Information Program GIS/Web Specialist 360-705-7497 360-705-6833 P.O. Box 47331 Olympia WA 98504 US johnsta@wsdot.wa.gov 17 20220124 08575800 1.0 CIVAAirport 722197.154358 2536662.370016 215194.159271 1345872.301370 1 Projected GCS_North_American_1983_HARN Linear Unit: Foot_US (0.304801) NAD_1983_HARN_StatePlane_Washington_South_FIPS_4602_Feet <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' 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