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Applications of Hazus Hazus-MH MH for Emergency Management December 16, 2010 What is Hazus-MH? Free ArcGIS extension Facilitates a risk-based approach to mitigation Identifies and visually displays hazards and vulnerabilities Calculates scientifically-defensible damages, economic losses, g benefits and mitigation How does Hazus-MH Support Emergency Management? IDENTIFY vulnerable areas ASSESS level of readiness and preparedness to deal with a disaster before disaster occurs ESTIMATE potential losses from specific hazard events DECIDE on how to allocate resources for most effective and efficient response and recovery PRIORITIZE mitigation measures that need to be implemented to reduce future losses (what if) How Hazus-MH Estimates Losses Produces maps, tables, and d reports Analyzes social and economic impacts Considers what is at risk Identifies hazard Analyzes physical landscape Damage/Loss g Functions Assess damage g and losses based on hazard conditions Example – Hurricane model has 4,818 unique building categories 45 damage/Loss functions for each building model Total of 216,810 216 810 unique damage/loss curves Hazus-MH Output p Physical y Impacts p Physical Impacts Social Impacts Economic impacts Social Impacts Economic Impacts Hazus-MH Output p Earthquake Flood Ground Shaking Ground Failure Frequency Depth Discharge Velocity Hurricane Wind Pressure | Missile | Rain Direct ect Damage a age General Building Stock Essential Facilities High Potential Loss Facilities Transportation Systems Utility Systems Induced Damage Fire Following Hazardous Materials Release Debris Generation Direct Losses Cost of Repair Income Loss Crop Damage Casualties Shelter Needs Generic Output Indirect Losses Supply Supp y Shortages S o tages Sales Decline Opportunity Costs Economic Loss Results Formats Tables Maps Reports Supported pp Hazards Hurricanes Riverine and Coastal Floods Earthquakes User Levels Level 3 Level 2 Level 1 Input h hazard d specific data Combinations of local and default hazard, building, and d damage d data d t Default D f lt hazard, h d inventory, and damage information Required User Effort and Sophistication Inventoryy Components p Aggregate Inventory Demographics General Building Stock broken down by type (how constructed) and occupancy (how used) p Inventory y Site-Specific Aggregate gg g Hazard Specific Inventory (both aggregate and site specific) Site Specific Integrating g g Local Data Comprehensive p Data Management System y Hurricane Model Overview Supported pp States Model includes 22 g gulf and east coast states as well as Hawaii Scenario Options p Individual storms User-defined Historical Probabilistic Direct Physical y Damage g Essential Facilities Loss of Use (Days) Damage State P b bilit Probability Debris Building Debris Wood and Masonry Steel and Concrete Tree Blowdown Tree Debris Eligible Tree Debris Building density, length of roads, roads and census block shapes Trees downed in close proximity to streets, hi h highways, or b buildings ildi make up the great majority of trees brought to the curb for collection and d di disposall Direct Economic Losses General Building Stock Loss Building Losses Structural Non-structural Content Business Inventory Business Interruption Losses Wage Income Rental & Relocation Proprietor Economic Losses from a Hazus-MH Simulated Hurricane Scenario Direct Social Losses Shelter Number of Displaced Households T Temporary Housing H i Requirements g p Based on Demographic Considerations [Ethnicity, Income, Age, Ownership] Shelter Camp during the 1906 San Francisco Earthquake Flood Model Overview Scenario Options p Return Period Discharge Value Flood Information Tool Input Quick Look Enhanced Quick Look User Provided Depth Grid HEC-RAS Depth-Damage p g Curves 10 00% 50% % 0% Damag ge as %o of replace ement cost Damage to buildings and infrastructure is estimated using depthdamage curves 0 ft 5 ft 10 ft Depth of water 15 ft Results General Building Stock Results By Amount of Damage occupancy, building type (sq. ft.) by count By Dollar Losses full and depreciated replacement value building, b ildi content, t t and d iinventory t llosses costs of relocation, wage, income, and rental losses direct employee output losses and employment loss (days) R esu l ts Essential facilities Building and content losses Functionality assessment (yes/no) Restoration time to 100% functionality Lifeline losses (for selected components) Losses to structures and equipment Functionality assessment (yes/no) Results Vehicle Losses Agriculture Losses Shelter Requirements Indirect Economic Losses Income and employment impact with and without aid by market sector Earthquake q Model Overview Scenario Options p User defined events Historic events Probabilistic events Direct Physical y Damage g Structural and nonstructural damage g estimates for buildings Damage state probability counts and losses Technical Manual chapter 5 describes the conditions that exist i t att each hd damage state by building type Direct Physical y Damage g Essential Facilities Restoration Time to 100% Functionality Damage D St State t Probability P b bilit Damage states are described in chapters 5 and 6 of Technical Manual y g U tility D am ag e Pipeline and Facility D Damages, L Losses, and Functionality for Potable Water, Waste Water Oil Systems Water, and Natural Gas. Functionality at 1, 3, 7, 14, 30 and 90 days Number of households without Potable Water and Electricity Transportation p Damage g Highway, Railway, Light Rail Bridge, Segment and Tunnel Losses, Damages g and Functionality Bus, Port, and Ferry Facility F ilit D Damage, L Loss, and Functionality Airport Runway and Facility Damage, Loss and Functionality Induced Physical y Damage g Fire Following g Number of Ignitions E Extent t t off Burned B d Areas Debris Generation Wood and Masonry Steel and Concrete Direct Economic Losses Building Losses (GBS) Structural Non-structural Content Business Inventory Business Interruption Wage Income Rental & Relocation Proprietor Lifelines Direct Cost of Repair Social Losses - Casualties By y severity y level By time of day (2 am, 2 pm, 5 pm) Severity 1 - No Hospitalizations Severity 2 – Hospitalization Severity 3 – Life Threatening Severity 4 - Fatality Social Losses - Shelter Number of Displaced p Households Temporary Housing R Requirements i t Indirect Economic Losses Modeling g of 10 Economic Sectors -30,000 -20,000 IMPLAN Data Inco ome Change [$ eMillion] Income Chang [$ Million] -10,000 0 10,000 Income Changes vs. Time Employment Changes g vs. Time 20,000 30,000 Agriculture Agriculture FIRE FIRE Manufacturing Manufacturing Miscellaneous Miscellaneous Trade Trade 40 000 40,000 50,000 60,000 Construction Construction Government Government Mining Mining Service Service Transportation Transportation 70,000 70 000 Year 1 Year 2 Year 3 Year 4 Elapsed Time after Earthquake Economic Sectors Modeled in Hazus Year 5 What is CDMS? CDMS is a tool developed p by y FEMA to support pp integration g of locally developed inventory data into the Hazus-MH loss estimation process. Pi Primary ffunctions ti Support transfer of data into and out of the master state databases Provide validation of user supplied data Allow users to query and export inventory information User Groups p Latest news User feedback User group contacts http://www.hazus.org and http://www.usehazus.com Trainingg Classroom Courses ArcGIS for Emergency Managers Basic Hazus-MH Hazus-MH for Floods Hazus-MH for Earthquakes Hazus Hazus-MH MH for Hurricanes Using Hazus for Risk Assessment Comprehensive Data Management for Hazus-MH Hazus for Floodplain Managers Using Hazus for Disaster Operations http://www.fema.gov/plan/prevent/hazus/hz_trngconf.shtm Virtual Courses Seven courses now available on the ESRI Virtual Campus http://www.fema.gov/plan/prevent/hazus/hz_virtualtraining.shtm Thanks for your attention! http://www.fema.gov/plan http://www fema gov/plan /prevent/hazus/
