Rukia hadi maudhuiScholarGate
MaktabaMaktaba yanguDawatiReview StudioMsaidizi
Ingia
HAZUS Loss Estimation/Ushahidi
Rekodi ya ushahidi wa mbinu

HAZUS Loss Estimation

HAZUS loss estimation is FEMA's standardized, GIS-based methodology for estimating the physical, social, and economic consequences of earthquakes, floods, hurricanes, and tsunamis across a region. It chains together four conceptual modules, potential hazard, inventory of the built environment, direct physical damage, and induced and economic losses, so that a consistent national framework can produce comparable loss estimates anywhere in the United States. Charles Kircher, Robert Whitman, and William Holmes's 2006 paper documents the earthquake methodology, including its use of capacity-spectrum demand estimation and lognormal fragility curves, and FEMA's technical manuals specify every default inventory, fragility, and loss parameter. The system is distinguished less by methodological novelty than by standardization: it packages decades of earthquake and flood loss science into reproducible software with vetted defaults. Planners, emergency managers, and policymakers use it for scenario planning, mitigation prioritization, and disaster response. Because its defaults are transparent and documented, HAZUS is both a working tool and a reference implementation of regional loss estimation.

Sources recorded, not reviewed

Rekodi ya chanzo

Nukuu zimehamishwa kwa uhalisi kutoka kwa rekodi ya chanzo cha mbinu. Hakuna uthibitisho wa kiwango cha dai unaodokezwa kutoka kwao.

HAZUS Loss Estimation (FEMA Standardized Multi-Hazard Loss Methodology)
Rekodi ya mbinu ya kiajenda · process-pipeline / disaster-studies
  • Kircher, C. A., Whitman, R. V., & Holmes, W. T. (2006). HAZUS Earthquake Loss Estimation Methods. Natural Hazards Review, 7(2), 45-59. · DOI 10.1061/(ASCE)1527-6988(2006)7:2(45)
  • Federal Emergency Management Agency (2024). Hazus Earthquake Model Technical Manual, Hazus 6.1. FEMA, Washington, DC. · URL
Fungua mbinu kamili

Madai yaliyotunzwa

Madai yamehifadhiwa katika daftari la ushahidi, kila moja ikiwa na tathmini yake.

Hakuna madai yaliyotunzwa bado

Mwonekano huu haubuni tathmini ya dai wakati daftari haina yoyote.

Mbinu zinazohusiana

Zilizotengenezwa kutoka kwa grafu ya mbinu na kuonyeshwa kama uhusiano uliopendekezwa na mashine — hakuna dai la ushahidi linalodokezwa.

Same method familyCatastrophe Risk Modelingmachine-suggested · Relational suggestion, not evidence.Same method familyExposure Modeling (Disaster Risk)machine-suggested · Relational suggestion, not evidence.Same method familyFragility Curve Estimationmachine-suggested · Relational suggestion, not evidence.Same method familyVulnerability and Damage Function Analysismachine-suggested · Relational suggestion, not evidence.

Hali ya ushahidi

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Vyanzo

2 nukuu zilizorekodiwa, ziliyonakiliwa kutoka kwa rekodi ya chanzo cha mbinu.

Vitendo

Fungua ukurasa wa mbinu
ScholarGate

Maktaba ya marejeleo inayotanguliza maudhui kwa mbinu za utafiti — kila moja ni nini, inavyofanya kazi, na inakotoka.

Data huria (CC-BY)

Gundua

  • Maktaba
  • Tafuta mbinu…
  • Vinjari kwa nyanja
  • Nyanja
  • Safari
  • Linganisha
  • Mbinu ipi?

Marejeo

  • Taaluma
  • Atlas
  • Kamusi ya istilahi
  • Mbinu
  • Falsafa

Eneo la kazi

  • Maktaba yangu
  • Dawati
  • Gumzo

Kampuni

  • Kuhusu
  • Bei
  • Wasiliana nasi
  • Pendekeza mbinu

Maingizo yamekusanywa kutoka vyanzo vilivyochapishwa kwa madhumuni ya marejeo. Kuthibitisha usahihi na ufaafu wa taarifa yoyote kwa matumizi yako mwenyewe kunabaki kuwa jukumu lako.

© 2026 ScholarGate · Maktaba ya marejeleo ya mbinu za utafiti
  • Faragha
  • Vidakuzi
  • Masharti
  • Futa akaunti