From a Hurricane Evacuation Map Series to a 3D Analytical Approach to Emergency Response by SHA Road Maintenance Crews

Transcription

1 From a Hurricane Evacuation Map Series to a 3D Analytical Approach to Emergency Response by SHA Road Maintenance Crews Mike Sheffer Highway Information Services Division GIS Program Coordinator GIS-T T 2009 Oklahoma City, OK April 5-85

2 Introduction In Late 2006 the Highway Information Services Division s s (HISD) GIS Team attended an SHA District 1 Team Leaders meeting in Princess Anne, MD Part of the agenda was to solicit ideas regarding Hurricane Evacuation Mapping standards, and what the SHA Office of Maintenance (OOM) road crews would need to perform their role in closing and maintaining critical intersections identified in the evacuation plan

3 Introduction From this meeting, subsequent meetings and several design iterations, a prototype paper map format was created. The ultimate plan was to possibly provide laminated copies to all crews deployed during emergencies This solved an operational problem How do road crews from other SHA Districts know were they are supposed to report during and event It was not a 3D GIS Analytical solution, however

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5 3D Spatial Data Research How How can SHA incorporate LiDAR and other 3D spatial data, the street centerline file, and other GIS data layers into a Decision Support System for Hurricane Evacuation Planning? Could Could this approach help to bridge the gap between planning and operational teams? Is the data complete and available to facilitate such an endeavor?

6 3D Data Availability in MD The The SHA GIS Team has 3D LiDAR datasets for the following Maryland Counties: More counties are becoming available. Anne Arundel County Baltimore County Charles County Dorchester County Howard County Saint Mary s s County Somerset County Talbot County Wicomico County Worcester County

7 3D Toolsets Utilized ArcGIS ArcGIS 3D and Spatial Analyst GRIDSPOT VB Tool, a free download from ESRI at arcscripts.esri.com/ ET GeoWizards,, a free trial from Ianko Tchoukanski of ET Spatial Techniques at ko.com/

8 3D Centerline Processing Steps Create Create a PolylineZ shapefile using 3D Analyst > Convert > Features to 3D Use Use ET GeoWizard to add PolylineZ as attributes to the shapefile

9 ET GeoWizard Adds the hidden PolylineZ Attributes

10 ET GeoWizard Display of Z Values 3D_Length] - the true 3D length of the polyline [2D_Length] - the 2D length of the polyline [Max_Z] - Maximum Z value [Min_Z] - Minimum Z value [Len_Up] - distance uphill [Len_Down] - distance downhill [H_Up] - total increase in height [H_Down] - total decrease in height [Av_S_Up] - average slope uphill [Max_S_Up] - maximum slope uphill [Av_S_Down] - average slope downhill [Max_S_Down] -maximum slope downhill

11 3D Centerline Processing Steps SHA SHA GIS Team has generated both 1/10 th, 1/100 th and 1/1,000 th mile points for all routes in MD The The GIS point data representing the 1/10 th and 1/100 th mile points are assigned an elevation using the GRIDSPOT tool and LiDAR DEM surface. Similarly, Similarly, other point feature class data, such as Points of Interest (POI), are also assigned an elevation

12 1/10th Mile Points

13 1/100th Mile Points

14 SLOSH Models Sea, Sea, Lake, and Overland Surge from Hurricanes (SLOSH) model is a computerized model developed by the Federal Emergency Management Agency (FEMA), United States Corps of Engineers (USACE), and the National Weather Service (NWS) to estimate storm surge depths resulting from historical, hypothetical, or predicted hurricanes by taking into account a storm's pressure, size, forward speed, forecast track, wind speeds, and topographical data

15 3D Centerline Processing Steps All GIS point layers are processed with GRIDSPOT and the SLOSH GRIDS, providing a depth of surge for Category 1 4 Hurricanes. Category Category 5 storm surges are usually not processed in the Mid Atlantic, since this size storm historically has not threatened us

16 1/100 th Mile Point Attributes Base elevations, with surge depths and map display attribute

17 LiDAR DEM is more accurate than the SLOSH storm surge polygons Elevation Attributes

18 Mile Points Compared to Inundation Zones

19 Facility/Infrastructure Vulnerability St. Michaels Elementary and Middle Schools 6 OrthoPhoto of Sample Site

20 Facility/Infrastructure Vulnerability St. Michaels Elementary and Middle Schools LiDAR DEM and Hillshade of Sample Site

21 Facility/Infrastructure Vulnerability St. Michaels Elementary and Middle Schools Inundation Zones with DEM/Hillshade

22 Facility/Infrastructure Vulnerability St. Michaels Elementary and Middle Schools Inundation Zones with DEM/Hillshade and Points of Interest (POI) and geodetic control point

23 Facility/Infrastructure Vulnerability St. Michaels Elementary and Middle Schools Inundation Zones with OrthoPhoto

24 Facility/Infrastructure Vulnerability St. Michaels Elementary and Middle Schools OrthoPhoto with DEM/Hillshade

25 Critical Intersection Evaluation

26 West of Critical Intersection

27 East Of Critical Intersection

28 Monument Evaluation

29 Monument Attributes

30 What s s Next? More More data validation. Are our assumptions right? Process Process additional counties as LiDAR becomes available (Both for Coastal and Riverine studies) Education Education and outreach to Emergency Managers and SHA District Team Leaders Collaborative Cross Jurisdictional research/data sharing Finalize Finalize data inputs toward a true GIS Decision Support System for Evacuation Planning

31 Contact Information Mike Sheffer,, GISP, CFM GIS Program Coordinator Maryland State Highway Administration Highway Information Services Division 707 N. Calvert Street, Mail-Stop C-607C Baltimore, MD (410)