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(1)

GIS

 

TOOL

 

FOR

 

CALCULATING

 

REPAIR

 

COST

 

OF

 

BUILDINGS

 

DUE

 

TO

EARTHQUAKE

 

EFFECTS

 

(CCRE

CISMID)

Miguel

 

Estrada

Carlos

 

Zavala

Fernando

 

Lazares

Jorge

 

Morales

Japan – Peru Center for Earthquake Engineering Research and Disaster Mitigation

Faculty of Civil Engineering – National University of Engineering – Lima – Peru

Disaster

 

Management

 

Cycle

Disaster

 

Cycle

Pre

event

Event

Post

Event

Hardware

Software

(2)

Risk

 

Components

Risk

= Function (Hazard

,

Exposition,

Vulnerability

)

Hazard

Exposition

Vulnerability

Disaster

Risk

Earthquakes,

Landslides,

Tsunamis

People, Properties

Susceptibility to natural hazards

Risk

 

Components

       

Reduction

Risk

disaster

reduction

Resettlement of people

and properties

Basically without

changes but there is

“Climate Change”

Increment of the

building resistance

Hazard

Exposition

Vulnerability

(3)

Seismic

 

Hazard

 

– Peruvian

 

Seismicity

Seismic

 

Hazard

Peruvian

 

Coast

Earthquakes with

 

Magnitude

 

>

 

5

1973

2010

! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! !!! ! ! !! ! ! ! ! !! ! ! !!! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! Brazil Ecuador Colombia Bolivia Chile 70° 70° 72° 72° 74° 74° 76° 76° 78° 78° 80° 80° 82° 82° 0° 0° 2° 2° 4° 4° 6° 6° 8° 8° 10° 10° 12° 12° 14° 14° 16° 16° 18° 18° 20° 20° 050100 200 300 400 Kilómetros PERÚ OCÉANO PACÍFICO Profundida Focal Lagos ! < 50 km ! 50km - 100 km ! > 100 km

(4)

Recent

 

earthquake

 

with

 

magnitude

 

greater

 

than

 

7

 

and

 

that

 

produced

 

tsunami

Seismic

 

Hazard

Focusing

 

in

 

Assess

 

the

 

Vulnerability

All

 

these

 

reasons

 

make

 

the

 

necessity

 

to

 

develop

 

a

 

practical

 

tool

 

to

 

identify

 

the

 

vulnerable

 

urban

 

areas

 

due

 

to

 

effects

 

of

 

a

 

big

 

earthquake.

 

This

 

tool

 

is

 

based

 

in

 

three

 

aspects:

Seismicity

 

of

 

the

 

area

Soil

 

conditions

(5)

Soil

 

Conditions

To

 

determine

 

the

 

type

 

of

 

soil

 

and

 

its

 

response

 

in

 

case

 

of

 

an

 

earthquake

 

some

 

field

 

survey

 

are

 

conducted:

Borehole

 

exploration,

Shear

 

wave

 

measurements,

Microtremor

 

measurements,

A

 

geotechnical

 

map

 

is

 

developed,

 

and

Acceleration

 

map

 

for

 

an

 

earthquake

 

scenario

 

is

 

developed.

Soil

 

Conditions

 

– Acceleration

 

Map

Acceleration

 

Map

for

 

and

 

Earthquake

 

Scenario

Soil Type Description Amp. Factor S1 Rocks 1.0 S2 Intermediate 1.2 S3 Soft soil 1.4 S4 Special case To be determined

(6)

Structural

 

Characteristics

 

of

 

Buildings

High

 

social

 

class

Structural

 

Characteristics

 

of

 

Buildings

(7)

Structural

 

Characteristics

 

of

 

Buildings

Low

 

social

 

class

Structural

 

Characteristics

 

of

 

Buildings

Cadastral

 

information

Field Value Description

Use 0 1 2 3 4 Empty Individual House Multifamily House Commerce

Public buildings (School, Hospital, Police)

Material 0 1 2 3 4 Empty Adobe or quincha Masonry Reinforced concrete Others Conservation 0 1 2 3 4 Empty Good Regular Bad Very bad

(8)

Thematic

 

Maps

LA MOLINA PACHACAMAC ATE VITARTE SANTIAGO DE SURCO CIENEGUILLA

VILLA MARIA DEL TRIUNFO EL AGUSTINO

SANTA ANITA

SAN BORJA

SAN JUAN DE MIRAFLORES SANTA ANITA 285000 285000 286000 286000 287000 287000 288000 288000 289000 289000 290000 290000 291000 291000 292000 292000 293000 293000 294000 294000 295000 295000 296000 296000 8 659 00 0 8 659 00 0 86 60 00 0 86 60 00 0 8661 00 0 8661 00 0 866 20 00 866 20 00 866 30 00 866 30 00 866 40 00 866 40 00 8 665 00 0 8 665 00 0 86 6600 0 86 6600 0 Material Mampostería Concreto Acero No Evaluado

®

Number of Stories Material

Land Use Structural System

6

 

Districts in

 

Lima

 

Under Detailed Study

La

 

Molina

Chorrillos

Villa

 

el

 

Salvador

San

 

Juan

 

de

 

Lurigancho

Comas

Puente

 

Piedra

Distrito Área(km2) Población aproximada en miles

Chorrillos 38.9 262.6

Villa el Salvador 35.5 381.8

San Juan de Lurigancho 131.3 898.4

La Molina 65.8 132.5

Puente Piedra 71.2 233.6

Comas 48.8 487

Aproximatelly: 2.4 millon peoples

Carabayllo Ate Lurin Lurigancho Ancón Pachacamac Cieneguilla Ventanilla Callao Comas

San Juan de Lurigancho

La Molina Lima

Chorrillos Puente Piedra

Villa MarÍa del Triunfo Villa el Salvador Rimac

Santa Rosa

San Martín de Porres El Agustino Independencia San Borja Miraflores Santa Anita San Miguel La Victoria San Isidro Chaclacayo Breña Lince Santiago de Surco Los Olivos

San Juan de Miraflores Surquillo Bellavista

San Luis Pueblo LibreJesús María La Perla

Barranco Magdalena del Mar

Punta Hermosa La Punta

Carmen de la Legua Reynoso

76°50'0"W 76°50'0"W 76°55'0"W 76°55'0"W 77°0'0"W 77°0'0"W 77°5'0"W 77°5'0"W 77°10'0"W 77°10'0"W 11°50'0"S 11°50'0" 11°55'0"S 11°55'0" 12°0'0"S 12°0'0"S 12°5'0"S 12°5'0"S 12°10'0"S 12°10'0" 12°15'0"S 12°15'0" Distritos ProyectoMV MVCyS-BID

Ü

0 2.5 5 10 15 20 Kilómetros

(9)

Adopted

 

seismic Risk

 

Evaluation

Take

 

plaster

 

of

 

walls

 

S/.

Put

 

wire

 

mesh

 

S/.

 

Put

 

new

 

plasterS/.

Paint

 

S/.

__________________

Retrofitting

 

Cost

Retroffiting

 

Cost

 

=

 

Function

 

(Structure

 

Type,

 

PGA,

 

Damage

 

level)

 

Urban

Inventory

Seismic

Microzoning

Vulnerability

Laboratoty

 

Test

Building

Earthquake damage

Building

Damage Level

Fundamental Period T= 0.07 Np (1+ 0.75. Z. g/981) Sa = Aceleración on Microzone w= 2/T Sd= Sa /w2e= Sd H =drifti=e x (0.75 R) = FR*i

Adopted

 

seismic Risk

 

Evaluation

    0.75 2 2 1                             T R ZUSC h X Xi i

(10)

Proyecto CISMID-PGT-BID

Di strito Lo te s/ Mz a Area Lo te Prom(m2) Re po sició n (US$/ m2) SAN JU AN DE LURI GANCHO 20 130 275

COMAS 18 160 300

P UENTE P IEDRA 18 160 235

VI LLA EL SALVADOR 20 130 400

CHORRILLOS 18 160 950

LA MOLIN A 18 250 1300

USING

 

DAMAGE

 

MATRIX

 

AND

 

PARAMETERS

 

FROM

 

6

 

DISTRICT

 

STUDY

A

 

RATIO

 

DAMAGE

 

LEVEL

 

AND

 

RETRIFFTING

 

COST

 

WAS

 

DEVELOPED

RATIO

 

DAMAGE

 

AND

 

RETROFIT

 

COST

 

BASE

 

ON

 

SOCIOECONOMICAL

 

LEVEL

(11)

Structural

 

Characteristics

 

of

 

Buildings

Development

 

of

 

Building

 

Damage

 

Curve

Damage

 

curve

 

based

 

on

 

the

 

drift

 

of

 

the

 

building

The

 

damage

 

curve

 

will

 

depend

 

on

 

the

 

parameters

 

mentioned

 

in

 

the

 

table

 

showed

 

before.

Structural

 

Damage

 

of

 

Water

 

Pipes

(12)

Data

 

Integration

 

in

 

a

 

GIS

 

Platform

Soil

 

Conditions

Building

 

Information

Water

 

pipe

 

information

(13)

Analysis

 

Tool

 

Development

Development

 

within

 

the

 

commercial

 

software

 

ArcGIS

 

v10.0

By

 

programming

 

in

 

Python

 

language

Using

 

Arcpy and

 

Math

 

modules

The

 

program

 

offers

 

flexibility

 

to

 

change

 

building

 

and

 

soil

 

parameters

Analysis

 

Tool

 

Application

Tacna

 

City

 

– Southern

 

Peru

Soils

Buildings

(14)

Analysis

 

Tool

 

Application

Tacna

 

City

 

Southern

 

Peru

Conclusions

An

 

automatic

 

tool

 

to

 

evaluate

 

the

 

building

 

and

 

water

 

pipe

 

damage

 

has

 

been

 

developed.

To

 

carry

 

out

 

the

 

damage

 

assessment

 

procedure

 

geotechnical,

 

cadastral

 

and

 

pipe

 

information

 

is

 

necessary.

  

However,

 

the

 

building

 

information

 

could

 

be

 

in

 

different

 

area

 

sizes:

 

Lot,

 

Block

 

or

 

Zone,

 

depending

 

the

 

quantity

 

or

 

quality

 

of

 

the

 

data.

The

 

tools

 

can

 

be

 

applied

 

to

 

cities

 

with

 

similar

 

building,

 

pipe

 

and

 

soil

 

conditions

 

similar

 

to

 

Lima

 

city.

To

 

obtain

 

empirical

 

relationships

 

between

 

acceleration

 

and

 

level

 

of

 

damage,

 

it

 

has

 

processed

 

a

 

wide

 

variety

 

of

 

cases,

 

so

 

the

 

application

 

is

 

well

 

calibrated

 

for

 

this

 

type

 

of

 

buildings

 

and

 

soils.

Regarding

 

the

 

analysis

 

for

 

water

 

pipe

 

some

 

additional

 

curves

 

may

 

be

 

develop,

 

to

 

cover

 

the

 

variety

 

of

 

pipe

 

materials

 

and

 

diameters,

 

but

 

this

 

tools

 

can

 

give

 

a

 

good

 

figure

 

about

 

the

 

possible

 

damage

 

in

 

case

 

an

 

severe

 

earthquake.

Statistical

 

information

 

can

 

be

 

obtained

 

from

 

the

 

final

 

thematic

 

maps

 

and

 

(15)

Group

 

4

 

and

 

5

 

Conclusions

Group

 

4

– Inventory map for Lima City and Tacna City based on Satellite Imagery and Census Data will 

continue to developing

– To improve the inventory data Peruvian Counterpart will contact to Municipalities to get 

cadastral data.

– For building high LIDAR may be used, for this purpose Peruvian counterpart will request the 

quotation to a private company.

– Sharing PRISM satellite data with INDECI and CONIDA will be carried out to analyse DSM.

– Future activities:

• Complete the building inventory for Lima and Tacna

• Join effort with Group 1 and 3 to develop damage assessment maps

• Developing damage detection techniques

• Installation of permanent GPS monitoring system at CISMID

• Setup of several GPS monitoring point and conduct the correspond measurement

Group

 

5

– New Peruvian Government planning issues for Pisco Recovery was discussed.

– Japanese Urban Planners will study the future land use of Pisco and will provide some 

recommendations

– Master plan map of Pisco will be share and feedback will discussed by Peruvian and 

Japanese specialists.

– Propose a way to increase the peoples sensitivity related to Disaster Management Issues.

Group

 

4

 

and

 

5

 

Conclusions

References

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