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EMCODE.ORG

Parcel-level earanalysis in Salt

stuart.moffatt emcode.or

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hquakeLake County

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BACKGROUND

University of Utah

sas er es s an

Pre-disaster mitigat

InCAST Web Editio

-

Open-source, Web

HAZUS USERS CONFERENCE 2009

n vers y

ion grant

2.0

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DRU SPIN-OFF PROJ

Sugar House Mitiga

s ng e am y r

URMs, liquefaction

Homeowner mitigat

- -

(year,materials,ext

HAZUS USERS CONFERENCE 2009

ECTS

ion ROI Map (#22!)

s ences n a a e y

, ground-motion

ion outreach Version 1

rior wall,occupancy) =>

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DRU SPIN-OFF PROJ

Salt Lake County St

ore vance n

240K single family

New methodology fmaps at building (n

Google Cloud GIS

HAZUS USERS CONFERENCE 2009

ECTS

dy

neer ng u ng o u e

arcels as building proxies

or high-resolution hazardt tract) centroid

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AEBM PRIMER

Building-specific an

o aggrega e as

Capacity spectrum

Building fragility cudemand curve

Damage states drivstructural, contents

HAZUS USERS CONFERENCE 2009

alysis

n enera u ng oc

ethod

ve intersects with hazard

e loss for structural, non-and casualties

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RESEARCH QUESTI

Geographic scale: t

ow muc oes gestructural loss caus

Parameters

Inventory location

Sim lification of ha

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N

act vs. parcel

ograp c sca e a eced by spectral

ard data

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METHODOLOGY (A)

Tract-based (HAZU

: scre e, ve

Generalization: cen

GBS distribution fowithout using accur

Building values are

HAZUS USERS CONFERENCE 2009

today)

or va ues

troid of tract

ce accurate counts in tractate position

normalized in GBS

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METHODOLOGY (B)

Parcel-based (New

: con nuous,

Precision: centroid

Use building-specifi Per-buildin values

instead of normaliz

HAZUS USERS CONFERENCE 2009

ethod)

ras er va ues

f parcel

c data at building resolutionfrom CAMA databased values from GBS

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TRACT-BASED PES

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: COARSE

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PARCEL-BASED PE

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H: FINE

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PARCEL-BASED PE

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H (DETAIL)

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ISSUES

HAZUS Earthquake

ses vec or, no ra

Solution: extract po

u er aroun po ntmatch parcel centr

HAZUS / AEBM scal

Not ractical for 5-1

HAZUS USERS CONFERENCE 2009

Model data format

er or

ints-by-value from raster,

creates vector ayer toids

bility

0K+ data sets

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ALTERNATIVE METH

URS EqBCAR Tool

Fixes defect in cap

Upside: automated,

Downside: no other

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OD

city spectrum method

using 3rd party tools to runu

losses are calculated

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AGGREGATE FINDIN

Tract + Coarse

um: , , ,

Mean: $10,105

Parcel + Fine , , ,

Mean: $8,594

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GS

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SPATIAL CLUSTERI

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G ERROR MAP

UnderestimateOverestimate

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MAPPING IN THE CL

Visualizing 240,000

'

Need web-based,

: oog e Google's free cloud

Java Topology Suit

.

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UD

arcels is not easy

IS-backed spatial queries

pp ng ne +computing service

(open source vector GIS)

.

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TODO

Mapping

n egra e par

Future

AEBM / EqBCAR fincludin li uefacti

HAZUS Earthquak

En ine

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e resu s n o we app

r 240K parcel studyn, casualties

Model on Google App