National Capitol Region HAZUS User Group Call

Transcription

1 Listen to the recording here to follow along with the presentation: AF3494_ _ &bridge=697620& =&account id= National Capitol Region HAZUS User Group Call May 30, :00 AM EST

2 NCR HUG Call Details Conference Call Details: 1. Dial-in: Conference code: Join the Meeting through Adobe Connect: (No Registration Required) The call will be recorded and the audio will be combined with the presentation and sent out at the end of the call. The audio and presentation will also be made available on the following websites: NCR HUG Use HAZUS page - NCR HUG LinkedIn page - Region-HAZUS-User ?trk=myg_ugrp_ovr 2

3 Agenda- Continued Welcome + Announcements Kimberly Pettit HAZUS Presentation Risk MAP in Idaho, Idaho Flood and Seismic Risk Portfolio, Alluvial Fan Hazard Jenna McGee HAZUS How to Presentation Import UDF Data Without CDMS (will be added to the NCR HUG Google Drive shared site soon) Reminder: HAZUS Data & Training Collaboration Request for Volunteers Next NCR HUG Call Adjourn 3

4 Announcements Upcoming HAZUS Courses at EMI The Emergency Management Institute (EMI) has two HAZUS training courses available in next month: E0317 Comprehensive Data Management Date: June 3-6, 2013 E Application of Hazus-MH for Risk Assessment Date: June 24-27, 2013 To apply for a Hazus training course, please visit: To enroll, download the Admission Application or contact Philip Moore at (301) For further information on registration, please visit training.fema.gov/emiweb 4

5 Announcements Continued 2013 HAZUS Conference: Indianapolis, IN FREE Registration is now open! Please visit to register and learn more about the Hazus Conference. Participants are encouraged to submit presentation abstracts between 75 and 150 words in length. Submissions should also include the presenters complete contact information and a brief biography. All submissions should be ed to Dave Coats at decoats@iupui.edu and must be received no later than June 25, Preliminary Agenda: Workshop - Introduction to HAZUS and its use : Kevin Mickey, Polis Institute Director of Geospatial Technologies Education Presentations: Eric Berman as well as multiple HAZUS experts who will showcase HAZUS best practices HAZUS Awards Ceremony HAZUS Success Stories Please contact hazus@arcaspicio.com if you would like to submit your own Success Story and discuss your use of HAZUS at the conference 5

6 Risk MAP in Idaho N A T I O N A L C A P I T O L R E G I O N H A Z U S U S E R G R O U P M A Y C A L L

7 Overview H A Z U S I N V E N T O R Y L I D A R L O W E R B O I S E R I V E R F L O O D R I S K D A T A B A S E I D A H O F L O O D R I S K P O R T F O L I O A L L U V I A L F A N P R O J E C T W H A T S N E X T

8 Hazus-MH I D E N T I F Y T H E H A Z A R D Q U A N T I F Y T H E R I S K

9 Hazus Inventory Estimated Legend - Updated - In Process - Unavailable General Building Stock Boundaries (Grid Cells) Demographic Square Footage OCC To MBT Schemes Replacement Values Building Characteristics Essential / High-Potential Loss Facilities Schools Hospitals Police Stations Fire Stations EOCs Dams Levees Nuclear Facilities Military Installations Transportation Highway Roads Bridges Tunnels Railway Tracks Bridges Tunnels Facilities Light Rail Tracks Bridges Tunnels Facilities Bus Facilities Ports & Harbors Ferry Facilities Airport Facilities and Runways Utility Waste Water Sewers Treatment Plants Lift Stations Potable Water Pipelines Treatment Plants Tanks Wells Pumping Stations Oil Pipelines Refineries Gas Pipelines Compressor Stations Electric Power Substations Generation Plants Communication Facilities

10 Level II Updates for Flood Level II analysis statewide updates: General building stock Essential/High-potential loss facilities Transportation systems Utility systems Local building inventory and valuation High resolution DEM derived from LiDAR FIT data HEC-RAS depth grids

11 LiDAR Data Repository 2. 4 T B O F L I D A R A V A I L A B L E A T I D W R. H E N R Y S F O R K T O I D A H O F A L L S, C O E U R D A L E N E W A T E R S H E D, T E T O N C O U N T Y, W O O D R I V E R V A L L E Y, T R E A S U R E V A L L E Y S T R E A M S

12 Importance of Improved Terrain Data Best Quality Data Before (pink) and After (blue) FIT Tool LiDAR Cost Sharing Cooperation

13 Importance of Improved Inventory Level 1 Analysis Level 2 Analysis Building Exposure by Occupancy Type for the Scenario Occupancy Exposure ($1000) Percent of Total Residential 870, % Commercial 136, % Industrial 31, % Agricultural 8, % Religion 13, % Government 2, % Education 6, % Total 1,070, % Building Exposure by Occupancy Type for the Scenario Occupancy Exposure ($1000) Percent of Total Residential 1,651, % Commercial 228, % Industrial 31, % Agricultural 8, % Religion 12, % Government 2, % Education 6, % Total 1,941, %

14 Discovery Reports Watersheds: Big Wood Lower Boise Lower Henrys Payette Teton Upper Henrys

15 Lower Boise River Flood Risk Database

16 Flood Risk Database Components Changes Since Last FIRM Flood Risk Assessment Dataset Flood Depth and Analysis Grids Areas of Mitigation Interest

17 Idaho Flood and Seismic Risk Portfolio

18 Purpose of Alluvial Fan Project I D E N T I F Y A R E A S O F G R E A T E S T R I S K D E T E R M I N E P R E S E N C E O F A L L U V I A L F A N S F A N M A N A G E M E N T P L A N P R O C E S S ( F E M A F E B ) *Identify the hazard* Plan future development Choose flood mitigation tools Enforce regulations Educate citizens

19 What is an alluvial fan? Fan-shaped alluvium deposit Alluvium: loose, unconsolidated sediment Area of decreased flow velocity Typically formed as a stream flattens onto a flatter plain Big Lost River Alluvial Fan and Floodplain, Butte and Custer Counties, Idaho Source: University of Georgia (

20 Alluvial Fan Hazard S E D I M E N T S D E P O S I T E D I N B R O A D F L O O D P L A I N U N P R E D I C T A B L E L A T E R A L C H A N N E L M I G R A T I O N R E D U C E D C O N V E Y A N C E A C T I V E E R O S I O N, S E D I M E N T A T I O N A N D D E P O S I T I O N H I G H - V E L O C I T Y F L O W S

21 Alluvial Fan Example Narrow Gorge Fan Apex Alluvial Fan Death Valley Alluvial Fan Diagram Source: California Institute of Technology (

22 Project Procedures Funded Watersheds Payette Lower Boise Big Wood Teton Upper Spokane Use Existing Data Surficial Geologic Maps AO Zones from FIRMs and DFIRMs

23 Mapped Fans from Flood Maps FIRM DFIRM Alluvial fans on FIRMs are depicted as AO zones and include depth and velocity estimates printed below the label. Alluvial fans on DFIRMs are depicted as AO zones and include depth and velocity estimates in attribute fields. Data from Ada County DFIRM and NAIP Imagery Image from FEMA publication 165.

24 Mapped Fans from Geologic Data Scanned Geologic Map Digital Geologic Data Paper geologic maps can designate alluvial soils or alluvial fans. Most geologic maps in Idaho did not examine geology for the presence of alluvial fans. Digital geologic maps usually designate alluvial fans specifically. Few of these maps exist in our study area. Image from Idaho Geological Survey DWM-54. Image from Idaho Geological Survey SGM-5.

25 Slope Model Example

26 Risk Potential Based on Geology Example

27 Potential Alluvial Fan Example #1 Extent in Watershed High Risk Potential (Red)

28 Potential Alluvial Fan Example #1 Slope Model Imagery: At-risk Property

29 Alluvial Fan Risk to Life and Property Caraballeda Fan, Venezuela December 1999 Tens of Thousands of Deaths Thousands of Homes Destroyed Aerial view of debris-flow deposition resulting in widespread destruction on the Caraballeda fan of the Quebrada San Julián. Avulsion of the main channel (left side of photo) resulted in deposits up to 6-m in thickness and totaling about 1.8 million cubic meters of bouldery debris. Secondary new flood channels are visible through center of fan to the lower right of photo. Photo by Lawson Smith, USACE (USGS 2001)

30 Alluvial Fan Risk to Property Example Values from 2010 Assessors Data 1 Alluvial Fan 18 Properties including 5 Properties with Lot Values Only Residential Use $16,591,112 Market Value $9,074,528 Residential Value Not a Mapped AO Zone

31 Upcoming? FINAL ALLUVIAL FAN PROJECT RESULTS ATLAS PROPOSAL CDMS PORTAL PROPOSAL EXPANDED ALLUVIAL FAN PROPOSAL

32 Questions? Ryan McDaniel, CFM PMP Risk MAP Cooperating Technical Partners Coordinator Thank you!

33 Import UDF Data Without CDMS For any Hazus study it is possible to import User Defined Facility (UDF) data directly into a study region without CDMS. These are not the same as critical facilities or essential facilities. Useful for countywide residential, commercial and industrial studies. Does not change your default state datasets. Has limited analysis and results options. Can preprocess all building attributes in GIS and assign values to a single point for each structure. Location, Specific Occupancy, Structure Values, # of Stories & Basements are the critical attributes for Hazus to use the correct Depth-Damage Curve. Export spatial data to a table in a Personal Geodatabase. Need to include fields with lat/long values. Some non-critical fields work better when the data types are revised in MS Access prior to importing. The necessary data schema can be obtained from within Hazus. JR McGee jenna.mcgee@amec.com

34 Importing the Data & Running Analysis Once your data is complete, move the.mdb with the data table to your local drive. Open your study Region and open the User Defined Facilities table. Right click and choose import. Select your data table and use the field mapping to align each attributes appropriately. Click okay and then wait a bit. Depending on the # of structures this can take a few minutes at least to import. A warning will be given if any points are located outside of the study region and they will not be imported. Run the UDF Analysis option. This needs to be completed after your depth grids have either been generated by Hazus or imported separately. On the results menu, choose the return period and then open the UDF results table. Results can be viewed by type Losses provided are limited compared to a GBS study. Just Building, Content & Inventory Losses with % damage. Right now Hazus does not allow you to run Average Annualized Loss (AAL) calculations for UDF studies. Equations are available in the Technical Manual to allow external calculations. For different profile combinations the loss coefficients can be rederived based on the method provided (also in the Technical Manual). JR McGee jenna.mcgee@amec.com

35 Reminder: HAZUS Data & Training Collaboration NCR HUG Google Drive shared site has been set up to facilitate HAZUS data and training collaboration. This site will allow any registered user to (1) post a description of data/results they have to share with others, (2) post a request of enhanced datasets or results that other s might have already done, (3) post information about an upcoming training, and (4) post a request for training on a specific or general topic. To register, your Gmail ID to Jenna (jenna.mcgee@amec.com) and the files will be shared with you. If you do not already have a Gmail ID, it is free to sign up for one. 35

36 Next Call Thursday June 20, Typically, our calls are the last Thursday of each month, but due to a HAZUS course at EMI taking place during 06/27/13, the call is scheduled a week earlier. Use the same number and conference code: Call and enter this conference code # **Request volunteer for next month s presentation Recent HAZUS project HAZUS How to presentation Meeting notes and an updated presentation with audio will be sent out after the call Adjourn 36