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Journal Article
Published: 01 February 2020
Earthquake Spectra (2020) 36 (1): 164–182.
...) but general loss estimates of ranges of fatalities and economic impact for significant global earthquakes. FEMA’s Hazus software, in contrast, provides time-consuming (2–5 h) but more detailed loss information quantified in terms of structural, social, and economic consequences estimated at a much higher...
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Journal Article
Published: 01 August 2010
Earthquake Spectra (2010) 26 (3): 893–900.
...Keith Porter The “cracking an open safe” methodology has been used to tabulate HAZUS-based seismic vulnerability as functions of structure-independent intensity, while avoiding iteration in the structural analysis. The vulnerability functions give mean damage factor (MDF, defined here as mean...
FIGURES
Journal Article
Published: 01 August 2009
Earthquake Spectra (2009) 25 (3): 607–618.
...Keith Porter In another work, the “open safe” of the HAZUS-MH methodology was cracked to create seismic vulnerability functions that honor all HAZUS-MH methodologies and data, yet that appear in the form of tables of mean casualty rates (indoor deaths and injuries as four fractions of total...
Journal Article
Published: 01 May 2009
Earthquake Spectra (2009) 25 (2): 361–378.
...Keith Porter The HAZUS-MH Technical Manual provides a method and data for calculating earthquake loss to ordinary buildings using in part the capacity spectrum method (CSM) of structural analysis, but it does not provide tabular results relating loss to structure-independent intensity measures...
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Medians for the proposed fragility functions vs. <span class="search-highlight">HAZUS</span> (SA(1))             ...
Published: 01 February 2017
Table 4 Medians for the proposed fragility functions vs. HAZUS (SA(1)) Damage states HAZUS class NBI class Year built Source Moderate Extensive Complete HWB10 205 <1983 Proposed 0.18 g 0.27 g 0.36 g HAZUS 0.90 g 1.10 g 1.50 g HWB11 205
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M W  7.1 Wasatch SLC scenario loss estimates using Federal Emergency Manage...
Published: 01 August 2024
Figure 8. M W 7.1 Wasatch SLC scenario loss estimates using Federal Emergency Management Agency’s (FEMA’s) Hazus platform ( https://www.fema.gov/flood-maps/products-tools/hazus , Last accessed March 2024) showing the distribution of US$75 billion in economic losses throughout the affected area.
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Scenario events used for PAGER&#x2F;<span class="search-highlight">Hazus</span> comparisons                     <span class="search-highlight">Hazus</span> ...
Published: 01 February 2020
Table 2. Scenario events used for PAGER/Hazus comparisons Hazus estimates PAGER estimates ShakeMap event (ground motion type: GM = geomean, PK = peak) Total direct economic loss (US$M, year as noted) Average loss ratio (%) Fatalities (day/night) Non-fatal injuries (day
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(a) <span class="search-highlight">Hazus</span> total economic losses versus PAGER total economic losses (in US$ ...
Published: 01 November 2022
Figure 11. (a) Hazus total economic losses versus PAGER total economic losses (in US$ millions) for the five main scenarios, (b) Daytime (2 p.m.) and nighttime (2 a.m.) Hazus fatalities versus PAGER fatalities are shown for the five main scenarios. The dark black diagonal line on both plots
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Comparison of <span class="search-highlight">Hazus</span> and PAGER modeled fatality estimates. Shaded rectangles...
Published: 01 February 2020
Figure 4. Comparison of Hazus and PAGER modeled fatality estimates. Shaded rectangles correspond to PAGER green, yellow, orange, and red fatality alert ranges. Hazus daytime (red) and nighttime (purple) fatalities are shown as circles; Hazus results for the actual time-of-day occurrence are shown
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Left: capital reconstruction path for three models: <span class="search-highlight">HAZUS</span> repair time, ARIO...
Published: 01 May 2023
Figure 4. Left: capital reconstruction path for three models: HAZUS repair time, ARIO with assumed 0.5-year repair time for all sectors, and current ARIO model with HAZUS repair time for each sector. The shaded region represents 80% confidence interval. Right: distribution of time to full
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Examples of fragility curves for (a) building, from <span class="search-highlight">HAZUS</span> ( FEMA 2003 ), an...
Published: 01 November 2019
Figure 10. Examples of fragility curves for (a) building, from HAZUS ( FEMA 2003 ), and (b) machinery, based on HAZUS and adjusted to include probability of damage caused by building collapse.
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Assumed ATC-13 and <span class="search-highlight">HAZUS</span> damage state equivalencies               ATC-13   ...
Published: 01 August 2017
Table 1 Assumed ATC-13 and HAZUS damage state equivalencies ATC-13 HAZUS Damage state CDF * Damage state Loss value None 0% None 0% Slight 0.5% Slight 2% Light 5.5% Moderate 10% Moderate 20% Heavy 45% Extensive 50% Major 80% Complete
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Repair cost ratios for each typology or occupancy class                 Ref...
Published: 01 February 2021
Table 5. Repair cost ratios for each typology or occupancy class Reference Damage state Slight Moderate Extensive Complete RES3: structural damage HAZUS ( FEMA, 2003 ) 0.3 1.4 6.9 13.8 RES3: non-structural AS HAZUS ( FEMA, 2003 ) 0.8 4.3 13.1 43.7
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Comparison of seismic hazard and building inventory parameters             ...
Published: 01 November 2013
Table 1 Comparison of seismic hazard and building inventory parameters Study Loss type Hazard parameter 1 Site condition 2 Inventory 3 This study Annualized PSHA Site-specific V S 30 HAZUS-MH MR4, Patch 2 This study Scenario Deterministic Site
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Translation between Canadian wood buildings and <span class="search-highlight">Hazus</span> taxonomies           ...
Published: 01 August 2023
Table 1. Translation between Canadian wood buildings and Hazus taxonomies Canadian taxonomy Description Occupancy Hazus taxonomy W1 Light wood-frame, 1–2 stories Residential W1 W2 Light wood-frame, 3–6 stories Residential W2 W3 Heavy wood-frame Commercial
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Figure 3. <span class="search-highlight">HAZUS</span> multipliers as a function of magnitude for Elko, Las Vegas,...
Published: 01 November 2010
Figure 3. HAZUS multipliers as a function of magnitude for Elko, Las Vegas, and Reno. The multipliers are derived by normalizing the HAZUS outputs in Tables 3 , 4 , and 5 to values for magnitude 6.4 earthquakes at 10-km depth in the center of each city.
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(a) Capacity curves of some building types in Hazards U.S. Multi‐Hazard (HA...
Published: 26 September 2017
Figure 12. (a) Capacity curves of some building types in Hazards U.S. Multi‐Hazard (HAZUS‐MH), as well as the calculated demand curve at one location of Singapore for the M w  7.7 event and (b) fragility curves for the C1L building type provided in HAZUS‐MH.
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Figure 2. <span class="search-highlight">HAZUS</span> multipliers as a function of hypocenter depth for Elko, Las...
Published: 01 November 2010
Figure 2. HAZUS multipliers as a function of hypocenter depth for Elko, Las Vegas, and Reno. The multipliers are derived by normalizing the HAZUS outputs in Tables 3 , 4 , and 5 to values for magnitude 6.4 earthquakes at 10-km depth in the center of each city.
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Ratio of estimated economic losses for actual events. <span class="search-highlight">Hazus</span> peak and geomea...
Published: 01 February 2020
Figure 1. Ratio of estimated economic losses for actual events. Hazus peak and geomean results are shown in orange and blue symbols, respectively—the differences between the ratio of Hazus loss to documented loss for peak and geomean ground motions are visible, but modest. Values were escalated
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The sample (from data)     λ     values for the permit, repair, and recover...
Published: 01 August 2022
Table 5. The sample (from data) λ values for the permit, repair, and recovery times Temporal parameter Damage class Sample λ value Permit time (REDi) Green 0.0091 Yellow 0.0109 Red 0.0089 Repair time (HAZUS) Slight 0.0113 Moderate 0.0079