Toward a Robust Flood Emergency Evacuation Integration of 2-D Hydraulic Modeling and Dynamic Evacuation Routing
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1 Toward a Robust Flood Emergency Evacuation Integration of 2-D Hydraulic Modeling and Dynamic Evacuation Routing Esri User Conference 2016 Sheng Tan, GISP June 29, 2016
2 Presentation Overview Study purpose Case study location Methodology Evacuation modeling elements Assessment results Future applications
3 Study Purpose / Background Undertake a pilot flood evacuation study The goal of the study is to develop a decision support tool for emergency managers The tool considers the time-varying hazard resulting from the propagation of a flood during an evacuation This dynamic consideration of the hazard definition is a new addition to the science of Emergency Management planning for flooding
4 Pilot Study Location Natomas Basin Development in deep floodplain Well-defined physical boundaries 100,000 residents Critical infrastructure Increased risk from future development
5 Methodology High-resolution 2D hydraulic flood modeling Vehicular evacuation modeling Both models currently exist independent of one another Wood Rodgers has developed a methodology to link both types of models Linked modeling enables the dynamic assessment of an evacuating population, accounting for the progression of a flood hazard during an event
6 Evacuation Input Data Requirements Evacuation Hazards H&H Model Output Evacuation Network Street Dataset Evacuation Candidates Endangered Population Evacuation Destinations Safety Zones
7 Evacuation Process During Flood Propagation
8 Evacuation Model Design
9 Hydraulic Model Requirements for Emergency Response High resolution is necessary to adequately characterize flood propagation in the floodplain Temporal variations in inundation extent, depth and velocity
10 Evacuation Network City of Sacramento Data Does not have all attributes Free Data TIGER Open StreetMap Connectivity Issues Incomplete Attributes
11 Evacuation Network Esri Streetmap Premium Read Only Third Party Vendors NAVTEQ HERE TomTom MultiNET Good connectivity Good attributes
12 Evacuation Candidates Based on Census Block Data Distribute by Parcel and Land Use Determine Population and its Location
13 Evacuation Destination Safe Zones based on City of Sacramento Emergency Action Plan
14 Definition of Terms Traffic Modeling Measures the Rate and Capacity of Traffic Flow Closest Facility Solution Measures the Cost of Traveling Between Incidents (People) and Facilities (Safe Zones) and Determines which are Nearest to One Another
15 Assess Evacuation Planning Systems Transportation Modeling with SACOG Model Using Cube Voyager Forecasting Model Based on Travel Demand of Population Includes Traffic Model No Closets Facility Solution GIS Based Network Model Using ArcGIS Feasible Based on Review of Existing Literature No Traffic Model Includes Closest Facility Solution ArcCASPER Capacity Aware Shortest Path Evacuation Routing Includes Traffic Model Includes Closest Facility Solution
16 ArcCASPER Developed by Kaveh Shahabi, University of Southern California Purpose: Minimize Evacuation Time GIS Based Requires ArcGIS Network Analyst Extension Free Proprietary Software Available for Commercial and Non-commercial Use Tested in Urban-Scale Evacuation (Southern California)
17 ArcCASPER
18 Evacuation Modeling An effective evacuation model will need the following criteria: The capacity of the road network is considered The traffic model is integrated to simulate traffic congestion ArcCASPER (Capacity-Aware Shortest Path Evacuation Route) meets both criteria ArcCASPER solves for routes with the shortest evacuation time
19 ArcCASPER Verification 1. The Network Analyst Closest Facility Solution No allowance for congestion 10min evacuation of Natomas Flow rate > 19,000 (v/l/h) 2. Arc CASPER Closest Facility Solution Allowance for congestion 54 min evacuation of Natomas Flow rate 1,600 (v/l/h)
20 Pilot Study Assessment Results Pilot study population = 22,612 vehicles (portion of Natomas) Time required to evacuate population = 54 minutes 1,216 vehicles flooded (before and during evacuation) 8 vehicles stranded (though not flooded) 21,388 vehicles safely evacuate
21 Pilot Study Assessment Results
22 Pilot Study Assessment Results Evacuation center (safe zone) results
23 Future Applications (General) Useful tool for planning studies Assessment significantly increases certainty in evacuation time predictions This information be used to improve planning associated with all elements of the evacuation planning process to achieve a successful evacuation Hazard prediction time (P) Resource mobilization time (M) Evacuation warning time (W) Community acceptance / risk education (Wf) Vehicle movement during an event (Vt)
24 Timeline Failed Evacuation Time = 0 t0 First sign of flood Prediction Calculation P Start response tr tp Estimate of flood severity Decide Strategy & Mobilize Resources M tw Start warning Community Acceptance Response Factor Wf Actual Available Time Ea Total Time Needed for Evacuation Time Needed to Warn All Dwellings W te Start evacuation traffic/ movement Low point in route cut by floodwater En Time Time Needed for Vehicle Movement Vt ti Evacuation interrupted before completion Time Lost L Rescue Phase R
25 Timeline Successful Evacuation Start response tr Raised route cut by floodwater Time = 0 Prediction Calculation P Decide Strategy & Mobilize Resources M Total Time Needed for Evacuation En Time Time Needed for Vehicle Movement Vt Community Acceptance Response Factor Wf Safety Factor if Available S Time Needed to Warn All Dwellings W t0 First sign of flood tp Estimate of flood severity tw Start warning te Start evacuation traffic/ movement ts Target safety time for design of improved system
26 Future Application (Jurisdiction Examples) Useful for emergency response personnel to plan and guide large-scale evacuations Helpful for local authorities to decide when to call for a mandatory evacuation to save life and property Can be used by DWR Flood Operations Center staff to advise local authorities of probable risks Evacuation results can be used as a community education tool, enhancing the DWR Flood Risk Notification Program
27 Questions? Sheng Tan, GISP
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