3.HAZUS Overview

8/9/2019 3.HAZUS Overview

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DHS.gov Federal Emergency Management Agency

An Overview of HAZUS – Multi-Ha ard!FEMA"# $%S-&a#ed' Multi-(a ard )i#* A##e##ment

+rogram for Analy ing +otential ,o##e#

Mid - Atlantic Regional Workshop for HistoricallyBlack Colleges and Universities (HBCUs) and

Local Co !nities" #artnering thro!gh$ ergency Manage ent and Mitigation

March %&' &&

Presenter: Kevin MickeyThe Polis Center at IndianaUniversity Purdue UniversityIndianapolis(317) 7!" #!k$ickey%iupui&edu

http://www.dhs.gov/


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1 - 2HBCU Conference 2004


(at i# HAZUS-MH

Mid - Atlantic Regional Workshop for HistoricallyBlack Colleges and Universities (HBCUs) and Local

Co !nities" #artnering thro!gh$ ergency Manage ent and Mitigation

March %&' &&

http://www.dhs.gov/


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(y HAZUS

Earthquakes, foods, and hurricanesgenerate billions o dollars in losses

Knowing potential losses:

• Enables better planning• Allows or improved in rastructure to

protect people and reduce economic losses

HA !" can estimate potential uturelosses

http://www.dhs.gov/


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(at i# HAZUS-MH

#$"%based so tware tool used on personalcomputer

&oss estimation so tware that estimatesph'sical damage rom earthquakes,hurricanes, and foods

Available rom (E)A ree o charge*www+ ema+gov ha-us.

Requires ArcGIS 8.3 (ArcViewlicense) and Spatial Analyst (Flood)

http://www.dhs.gov/


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(at doe# HAZUS-MH do

Estimates ph'sical damage to:• /uildings and their contents

• /ridges

•0ipelines

• 1ther t'pes o in rastructure

Assesses how populations might be a2ectedb' damage rom natural ha-ards• 3an be used to plan or shelters, casualties,

emergenc' power and water

http://www.dhs.gov/


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HAZUS Accom/li#(ment#

0rogram initiated in 4556Earthquake model versions developed in 4557, 4555,6888, 6884 and 6886

9evelopment o Hurricane and (lood models initiatedin 455)ulti%ha-ard HA !" *HA !"%)H. with models orhurricane, food and earthquake ha-ards nowavailable

Hurricane )odel development will continue throughat least 688;• 1ther wind ha-ard models % thunderstorm, hail, tornado < to

be developed or uture releases

http://www.dhs.gov/


7/601 - 7HBCU Conference 2004


0enefit#HA !"%)H allows user to:• $9E=>$(? vulnerable areas that ma' require

planning considerations

• A""E"" level o readiness and preparedness to

deal with a disaster be ore disaster occurs• E">$)A>E potential losses rom speci@c ha-ard

events *be ore or a ter a disaster hits.

• 9E3$9E on how to allocate resources or moste2ective and e cient response and recover'

• 0B$1B$>$ E mitigation measures that need to beimplemented to reduce uture losses *what i .

http://www.dhs.gov/




(o are HAZUS U#er#

>housands o copies distributed to ederalagencies, states, local emergenc' managers,@re departments, universities and others

3onsiderable international interest)aCor HA !" consortiums in "an (rancisco,&os Angeles, "an 9iego, the )idwest, and=ew ?ork *www+ha-us+org.

http://www.dhs.gov/




(o are HAZUS U#er#

(inancial institutions *banks and insurancecompanies. assess their eDposure todisasters *"chwab, ells (argo, /ank oAmerica, $nsurance "ervices 1rg+.

!niversities use it or applied research*)$>, #eorgia >ech, $llinois, 0rinceton,"tan ord, !3 /erkele', $ndiana!niversit'F+and man' others.

>ransportation and utilit' agencies assessreliabilit' o their s'stems *3al>rans, &A9ept+ o ater and 0ower, 0aci@c #as GElectric.

More latter…

http://www.dhs.gov/




HAZUS-MH Family of +roduct#HA !"%)H main so tware has models :• Earthquake• (lood• Hurricane

$nventor' 3ollection And "urve' >ool *$n3A">./uilding $mport >ool */$>.

(lood $n ormation >ool *($>.

&inkage to third%part' )odels• Areal &ocations o Ha-ardous Atmospheres *A&1HA.

• (lood aves *(&9 AI.

http://www.dhs.gov/




Overview of HAZUS Family of +roduct#

%12AS344

0%344 0%35

HAZUS44 S)-67A8 9 M%:

HAZUS5

+roduct# of t(e OldHAZUS 44 S)-6 +ac*age

)A DA3A

%12AS344 %12AS3- MH

0%3440%3- MH

HAZUS-MH

+roduct# of t(e 1ewHAZUS-MH +ac*age

F%3- MH

A,OHA F,D A8

http://www.dhs.gov/http://www.dhs.gov/




HAZUS-MH ,o## E#timation Met(odology

Eart(;ua*e Flood Hurricane



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,evel# of Analy#i#





HAZUS-MH %nventory Data$nventor' data is divided into two t'pes, oreDample:• 3ommon to all ha-ards

#eneral building t'pes and occupancies

&i elinesBeplacement costs

9emographics

• Ha-ard%speci@c

"peci@c building t'pes

Elevation

/uilding con@gurations Port

Airport Bridge

Highway

= >

Mile#

?=

San FranciscoSan FranciscoSan FranciscoSan FranciscoSan FranciscoSan FranciscoSan FranciscoSan FranciscoSan FranciscoBay Bay Bay Bay Bay Bay Bay Bay Bay

Alameda Alameda Alameda Alameda Alameda Alameda Alameda Alameda Alameda

Contra CostaContra CostaContra CostaContra CostaContra CostaContra CostaContra CostaContra CostaContra Costa

San MateoSan MateoSan MateoSan MateoSan MateoSan MateoSan MateoSan MateoSan Mateo

San JoaquinSan JoaquinSan JoaquinSan JoaquinSan JoaquinSan JoaquinSan JoaquinSan JoaquinSan Joaquin

sers cansupple!ent in"entory#or $etter results.





Ha ard Scenario#(lood• "peci@c Beturn $ntervals

• "peci@c 9ischarge (requenc'

• Annuali-ed &osses

• Juick &ook

Earthquake• "imulate user de@ned, historic, or probabilistic

events





Ha ard Scenario#Hurricane• 0robabilistic

< 488,888 'ear database o peak gust wind speeds in eachcensus tract

< ind speeds have been pre%generated

• "ingle !ser%9e@ned Event

"ingle storm scenario

0rogram generates wind @eld given storm characteristics

Allows user to speci ' track, speed, and intensit' o hurricane

9esigned to work with =ational Hurricane 3enter s (orecastAdvisories

• Historic Event

9atabase o 3ategor' %; storms that impact the !" since4588





Ha ard Scenario#"imulate L hat%$ M "cenarios• $ncorporate building code changes

• Add levees or dams

• Assess impact o erosion prevention practices

• ++and much more





Damage Function#

9epth o water

9 a m a g e a s

N o

f r e p

l a c e m e n

t c o s t

8 t ; t 48 t 4; t

8 N

; 8 N

4 8 8 N

9amage curves are assigned to eachbuilding speci@c occupanc' class and each

acilit'

%ur"es "ary $y&a'ard. &is

e a!ple representsa #lood &a'ard.

*"er 8++ cur"es , and you cancreate your own as well-





HAZUS Flood Model )e#ult#Ha-ard maps• (lood depth• Eroded terrain sur ace *coastal onl'.

/uilding losses

• /' occupanc' and b' building t'pe• /' ull replacement value and

depreciated replacement value• /uilding, content, and inventor'

losses• 3osts o relocation, wage and income

losses, rental income loss• 9irect emplo'ee output losses and

emplo'ment loss *da's.

epreciated losses are speci#ic to #lood.





HAZUS Flood Model )e#ult#Essential acilities• /uilding and content losses• (unctionalit' assessment *'es no.• Bestoration time to 488N unctionalit'

&i eline losses * or selectedcomponents.• &osses to structures and equipment• (unctionalit' assessment *'es no.

Iehicles and agriculture losses"helter requirements



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HAZUS Flood Model )e#ult#3asualties• =o casualties calculated

• Beport on !" annual food%relatedcasualties included

$ndirect economic losses• $ncome and emplo'ment impact

with and without aid b' marketsector

Agriculture, )ining, 3onstruction,)anu acturing, >ransportation,

>rade, "ervices, #overnment, )isc+



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Functionality Estimates forLifelines & Essential Facilities[ hospitals & Schools ]System PerformanceEvaluation for Potable Water& Electric Power

HAZUS Eart(;ua*e Model )e#ult#+(y#ical Damage0h'sical 9escription o

9amage"tructural and =onstructural9amage or /uildings&eaks and /reaks or0ipelines

0%

0%

!0%

"0%

#0%

$0%

0%

&0%

'0%

(0%

00%

0)00 0) 0 0)!0 0)"0 0)#0 0)$0 0) 0 0)&0 0)'0 0)(0 )00

+ea* $round Acceleration @g #B

E C / e c

t e d F u n c

t i o n a

l i t y

*ay 0*ay *ay "*ay &

*ay "0*ay (0

L+,E-+L ./ L* 12 * SPL+3E4E1,

S,-512E- 351S,-/3, 51

WE+6E- 351S,-/3, 51

4+75-S8+6 12

45*E-+,ES8+6 12

4 15-S8+6 12

L + , E - + L . / 0 L * 0 1 2 F 5 - 3 E

. / 0 L * 0 1 2 W E 0 2 8 ,

151E SL 28, 45*E-+,E E9,E1S :E 354PLE,E

/onstructureal %o!ponents 0 (e.1.2electrical and !ec&anical syste!s2ceilin1s2 etc.)



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HAZUS Eart(;ua*e Model )e#ult#%nduced +(y#ical Damage

(ire (ollowing• =umber o $gnitions• EDtent o /urned

Areas

9ebris #eneration• ood and )asonr'• "teel and 3oncrete

$nundation

• 9ollar EDposure atBisk• 0opulation at Bisk

Ha-ardous )aterialsDe&ri# $enerated from a HAZUS

Simulated E Scenario



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#eneral /uilding "tock&oss• /uilding:

"tructural =on%structural

3ontent /usiness $nventor'• /usiness $nterruption:

age $ncome

Bental G Belocation 0roprietor

&i elines• 9irect 3ost o Bepair

Economic ,o##e# from a HAZUSSimulated E Scenario

HAZUS Eart(;ua*e Model )e#ult# Direct Economic ,o##e#



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3asualties• =o Hospitali-ations• Hospitali-ation

=on%&i e >hreatening

&i e >hreatening0arameters• 9amage to various

/uilding >'pes

• /ridge 9amage3ontribution• >ime 9ependent

EC/ected 2a#ualtie# from a HAZUSSimulated E Scenario

HAZUS Eart(;ua*e Model )e#ult#Direct Social ,o##e#



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"helter• =umber o 9isplacedHouseholds

• >emporar' HousingBequirements

0arameters• /ased on

9emographic3onsiderations

OEthnicit', $ncome,Age, 1wnershipP

• Accounts or &oss o!tilit' "ervices

S(elter 2am/ during t(e ?4= San Franci#coEart(;ua*e

ri!arily2 et&nicity and inco!e #actors playa 4ey role wit& respect to s&elter de!ands.

HAZUS Eart(;ua*e Model )e#ult#Direct Social ,o##e#



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)odeling o48 Economic"ectors

$)0&A= 9ata

$ncome3hanges vs+

>ime

Emplo'ment3hanges vs+ >ime Economic Sector# Modeled in HAZUS

;"0riculture 3onstructionF -E 2overnment4anufactin> 4inin>

4iscellaneous Service,ra?e ,ransportation

;"0riculture 3onstructionF -E 2overnment4anufacturin> 4inin>

4iscellaneous Service

,ra?e ,ransportation

IM 5A/ is an econo!ic i!pact assess!ent!odelin1 syste!. IM 5A/ allows t&e user toeasily $uild econo!ic !odels to esti!ate t&ei!pacts o# econo!ic c&an1es in t&eir states2counties2 or co!!unities.&ttp677econo!ici!pact.i#as.u#l.edu7w&at is i!plan.&t!

9A: S users can supply IM 5A/ i# desired.

HAZUS Eart(;ua*e Model )e#ult#Economic ,o##e#



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Inventory

Terrain

Databases

Physical Damage

Buildings/Facilities• Industrial• Commercial• Residential• Essential Facilities

BuildingDebris

Direct Economic Losses• Structure• Contents• Loss o !se

Losses

"a#ard

• "urricane $odes o %nalysis

• Probabilistic• Scenario• Historical StormsE ects

...

TreeBlo&do&n Utilities

rans!ortation "#ric$lt$re

o!o#ra!%&

Bat%&metr&

'n(irect)conomic *osses Cas$altiesShelter

Ha+ar(o$s,aterials

• %$n(erstorm• orna(o

• Hail

• Storm S$r#e• a es• "tmos!%ere /ress$re C%an#e

• ) tra tro!ical Storm

Inventory

Terrain

Databases

Physical Damage

Buildings/Facilities• Industrial• Commercial• Residential• Essential Facilities

BuildingDebris

Direct Economic Losses• Structure• Contents• Loss o !se

Losses

"a#ard

• "urricane $odes o %nalysis

• Probabilistic• Scenario• "istorical StormsE ects

...

TreeBlo&do&n Utilities

rans!ortation "#ric$lt$re

To'ogra'hy

Bat%&metr&

'n(irect)conomic *osses Cas$altiesShelter

Ha+ar(o$s,aterials

• %$n(erstorm• orna(o

• Hail

• Storm S$r#e• a es• "tmos!%ere /ress$re C%an#e

• ) tra tro!ical Storm

HAZUS ind Model )e#ult#$tems in /lue are

included in currentversion o HA !"%)H

• (ind Pressure• $issiles• (ind Pressure• $issiles

• Rain• Rain• Duration• Duration

DHS



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)e#ult# – Ma/# and 3a&le#Almost all table data

can be plotted in a mapla'er• Iiew an' results table

• "elect column header

• 3lick on )ap button

http://www.dhs.gov/


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DHS

http://www.dhs.gov/


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ECam/le of HAZUS Economic ,o##

DHS g



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Demon#tration – Somer#et 2ounty' MD

3ategor' ;Hurricane

;88 ?ear 3oastal(lood

;&at i#…..

DHS gov d l



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2ategory > Hurricane

4 8 )0H maDimum winds

588 mb minimum pressure

DHS gov F d l E M A



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DHS gov F d l E M t A



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DHS.gov Federal Emergency Management Agency,a im$m S$staine( in(s ,/H

DHS gov Federal Emergenc Management Agenc i ti



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DHS.gov Federal Emergency Management Agency e ris eneration

DHS gov Federal Emergency Management Agency/ ilit& f C !l t i( ti l St $ t$ t $ ti



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DHS.gov Federal Emergency Management Agency/ro a ilit& of Com!lete esi(ential Str$ct$re estr$ction

DHS gov Federal Emergency Management Agency



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DHS.gov Federal Emergency Management Agency otal )conomic *oss

DHS gov Federal Emergency Management Agency



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DHS.gov Federal Emergency Management Agency)conomic *oss & eneral cc$!anc&

DHS gov Federal Emergency Management AgencySc%ools /ro a ilit& of estr$ction



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DHS.gov Federal Emergency Management AgencySc%ools /ro a ilit& of estr$ction




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>== Gear 2oa#tal Flood

"omerset 3ount', )9

DHS.gov Federal Emergency Management Agency500 C l l (



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DHS.gov Federal Emergency Management Agency500 ear Coastal :loo(

DHS.gov Federal Emergency Management Agencyt l i( ti l St $ t$ *



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DHS.gov g y g g yotal esi(ential Str$ct$re *oss

DHS.gov Federal Emergency Management Agency i !l ( /



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g g y g g y is!lace( /ersons

DHS.gov Federal Emergency Management Agency%i l * & (


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g g y g g y;e%icle *oss a& an(


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g

O//ortunitie# for Hig(er Education%n#titution#! 3(e %ndiana Model






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g

3(e %ndiana ModelApproDimatel' 66N

o cities have areaswhich are locatedin a foodplain+

1ther cities are inearthquake proneareas+

)an' o these

cities havesubstantialpopulations+




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%ndiana and Emergency Management"tate has a multitude o cities, towns, andlocal planning agencies that manage theactivities o various combinations o theseentities+

#oal is develop a cadre o pro essionalEmergenc' )anagers+• >echnologicall' literate

• Access to all tools *such as HA !"%)H. to maDimi-e

their limited resources and time+• /uild awareness in the need to incorporate #$" in

planning, response and preparedness+

http://www.dhs.gov/


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http://www.dhs.gov/


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%ndiana HAZUS Su//ort Strategy3reation o network o eDperts

in higher education institutionsas well as private sectororgani-ations to supportHA !" &evel $$ $$$ users+

HA !"%)H !sers #roup+Encourage higher educationstudents to per orm internshipswith local agencies to assist

with collection and possibl'anal'sis o HA !" related data+

$denti ' data resources




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0enefit# of Academic %n#titution andState ,ocal Agency 2olla&oration



http://www.dhs.gov/


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http://www.dhs.gov/


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0enefit# to FEMA0rovides a means b' which to support theanticipated demand or HA !"%)H trainingand support+

Bepresents an e2ective collaborationbetween ederal, state, and local agencies

that supports the needs o an importantederal program+

So!e studies su11est as !any as


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0enefit# for State Emergency Management Agencie#

Higher education institutions have a longstanding commitment to serving theeducational needs o communities and thuso2er a logical resource or educationalsupport+

)an' higher education institutions haveeDisting acilities or educational programs+

&ocal eDpertise ma' enhance e2ectivenesso classroom instruction+




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0enefit# for State Emergency Management Agency

&ocal resource leads to reduced cost tostate local agenc' as a result o limitedtravel eDpense+

/etter trained local and state sta2 to deal

with changing demands o their Cobs+




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0enefit# for ,ocal Emergency +lanning Agencie#

&ocal training resource• EDpense limited to time < no travel cost

&ocal eDpertise• Access to eDperts with knowledge o local

landscape and amiliarit' with local issues9evelop appreciation o #$" as an e2ectivein ormation management technolog'• Emergenc' management• (acilit' in rastructure management• Fand man' other purposes




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0enefit# for Hig(er Education %n#titution#0rovides a tool or assessing risk to highereducation institution acilities+(ul@lls the mission o higher education tosupport the needs o communities+

Besearch opportunities or acult'+1pportunities or student internships+




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0enefit# to +rivate %ndu#try9eveloping an awareness o #$" technolog'in communities ma' lead to opportunities ordata development+

)an' counties are anticipated to pursue the

development o #$" be'ond the immediateapplications associated with HA !"%)H+

#$" service providers are a valuable resourcethat stands read' to address this need+




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2ould t(i# #trategy wor* in your #tate
http://www.dhs.gov/

Documents

3.HAZUS Overview