Slide 1: GIS and HAZUS-MH HAZUS Applications for Catastrophic Planning New Madrid Ð Wasatch Slide 2: HAZUS Applications Slide 3: UofU Suite of ShakeMap Scenarios Slide 4: Estimated Building Inspection Needs Ð Earthquake Scenario: Wasatch Front Slide 5: Estimated Displaced ouseholds & Short-Term Public Shelter Needs Ð Earthquake Scenario: Wasatch Front Slide 6: Estimated Casualties (Severity 3) & Hospital Functionality Ð Earthquake Scenario: Wasatch Front Slide 7: Estimated Highway Infrastructure Damage & Hospitals Ð Earthquake Scenario: Wasatch Front Slide 8: Estimated Concrete and Steel Debris Ð Earthquake Scenario: Wasatch Front Slide 9: Wasatch Front-SLC Segment Building Damage Counts Major Inspection Needs: Salt Lake Davis Utah and Weber counties (2,000 inspectors, 30 days) Slide 10: Tabular Results_Can be by Building Type_URM Related Casualties_- Salt Lake Scenario (~185K URMs) Slide 11: NMSZ Baseline Scenarios 3 1811-12 Characteristic Scenarios supplied by USGS Memphis Ground motion product analogous to USGS ShakeMap Liquefaction susceptibility based on CUSEC State GeologistsÕ soils mapping Slide 12: Peak Ground Acceleration & Source Ð Earthquake Scenario: New Madrid Region Northeast Scenario Magnitude 7.7 Slide 13: Peak Ground AccelerationÐ Earthquake Scenario: New Madrid Region Central Thrust Scenario Magnitude 7.7 Slide 14: Peak Ground Acceleration & Source Ð Earthquake Scenario: New Madrid Region Southwest Scenario Magnitude 7.7 Slide 15: Liquefaction Susceptibility Ð Earthquake Scenario: New Madrid Region Slide 16: Estimated Total County Building Loss Ð Earthquake Scenario: New Madrid Region Northeast Scenario Magnitude 7.7 Slide 17: Estimated Total County Building Loss Ð Earthquake Scenario: New Madrid Region Central Thrust Scenario Magnitude 7.7 Slide 18: Estimated Total County Building Loss Ð Earthquake Scenario: New Madrid Region Southwest Scenario Magnitude 7.7 Slide 19: Estimated Highway Segment Damage Ð Earthquake Scenario: New Madrid Region Southwest Scenario Magnitude 7.7 Slide 20: Estimated County Building Loss Ratios Ð Earthquake Scenario: New Madrid Region Southwest Scenario Magnitude 7.7 Slide 21: New Madrid Baseline Scenario Losses ($B)_ Slide 22: Liquefaction Induced Losses Northeast Scenario ($B) Slide 23: Mitigation Priorities_Unreinforced Masonry Related Casualties_- NE Scenario (~450K URMs) Slide 24: CUSEC Area Suite of Scenarios These 1811-12 Characteristic Earthquakes provide worst-case scenarios for TN, AR, KY, SE MO Wabash Area Scenario needed for IL, IN, and Southern Illinois SZ for St. Louis, MO Moderate southern source zone scenario needed for AL, MS Other New Madrid Estimates Lloyds of London ($74B) MAE Center Website ($200B) MAE Center Research Publication ($50B) Slide 25: Baseline Scenarios Ð Observations URMs cause most the serious casualties Ground failure plays a significant role More than 400K households without potable water for 90-days or more (1M/4.2M on day one) Major transportation issues over a large geographic area 250K displaced households 32M tons of debris Slide 26: Not Assessed/Included in Baseline Scenarios 2005 Building Valuations (available in MR-2) St. Louis and Memphis detailed liquefaction susceptibility Landslide susceptibility Refined building occupancy mapping schemes Review of low and moderate seismic design assignments (will impact economic losses and could significantly increase casualties) Mississippi River Bridges- large multi $B system Pipeline/infrastructure direct and indirect losses Transportation network analysis -- NBI, highway geospatial accuracy limitations Ð requires State DOT data Unused inventory attributes - replacement costs Ð can be refined with other attributes (runway length, number of students, HSIP attributes), total regional annual income, demographics (age, ethnicity, income, homeownership) No assessor dataÑ(occupancy mapping by decade) No cascading impactsÑlevee failures, hazmat releases, dams Slide 27: Improve Occupancy Mapping New Madrid- Does not consider median year built, adoption and enforcement Wasatch-Based on Salt Lake County assessor data, assigned to surrounding region based on median year built Slide 28: Improve Occupancy Mapping New Madrid- Default distribution scheme Wasatch-Revised distribution based on Salt Lake County assessor data. Slide 29: Inventory Attributes Slide 30: Why Use HAZUS for NMSZ Catastrophic Planning Identify Vulnerabilities and Develop Mitigation Priorities Avoid Duplication of Efforts Use Resources for Inventory (GIS) and Hazard Information Produce Updateable Scenario-Journey not a destination Nationally Consistent Methodology Slide 31: http://www.fema.gov/plan/prevent/hazus