Results from DRMKC Support System-Spain (Rosa Mata Francès, CP Catalunya and Scira Menoni, POLIMI)

1

Towards the implementation

of the Sendai Indicators

Catalonia’s Civil Protection Directorate

Rosa Mata Francès

Head of Operations and Logistics – Catalonia’s Civil Protection Directorate

Scira Menoni

Politecnico di Milano

2

The Catalonia Civil Protection Directorate is the regional civil protection

organism that performs the analysis and assessment of risks, prepares

emergency plans and manages emergencies in the Catalonia Region.

Catalonia has its own emergency services: police, fire service, medical

service, geological service, weather service, etc.

Damage data are collected mainly during the emergency management

and in a subsequent short period but data are not collected systematically.

Information about damages is scattered in various reports or databases.

Catalonia’s Civil Protection Directorate

Main objectives:

To analyze damage data according to a forensic perspective for knowing

how different components of risk (hazard, exposure, vulnerability)

contribute to the final damage.

Apply this analysis to support more effective mitigation measures

and the most effective recovery and reconstruction investments, in

order to reduce the risk for the future.

Case study in Catalonia: Vall d’Aran, June 2013, severe flood due to:

• Heavy rainfall over a short period of time (more that 100 litres/m2)

• High temperatures: snow melting.

3

The IDEA project- (European Comission- DG- ECHO)

We have a lot of data of emergency damage, but messy data

We can get much more data than we usually have (the second phase

recovery data, the rehabilitation data, the compensation data…).

We can ask for it as a Regional Authority

To have this data and to register and order it in a systematic way will allow us

to identify where and how to put our efforts in prevention:

– Priority risks

– Priority sectors

– Priority areas

– Which type of actions will be better

We need to

– Establish automatic procedures for

emergency data collection

– Introduce data collection in

the Regional Civil Protection Law

4

Working with data in the IDEA project

RMKC Suport System Collecting and recording disaster damages and loss data according to

European Directives and Guidance and for responding to the Sendai

Framework requests

Identification of critical data according

to standardized formats of the Sendai

Framework and also for the comparability

at the European level

Develop the architecture of a damage

and losses database at the Regional

level to collect, store and query the most

relevant data to be of use (starting with an

application on the Vall d’Aran case)

Detailed handbook for managing the

database and creating the queries

necessary to respond to the Sendai

Framework and European requirements 5

Objective of the service: enhance structured and

organised post-post disaster damage data to support

risk mitigation at different levels

1. Context: Adhering to the Sendai Framework for DRR implies the need to

measure achievements through indicators

2. Purpose and scope: this requires that damage data are better collected and

organised to permit multiple queries at different spatial and temporal scales

(ideally)

3. Once this effort has been done, data collection may become a more

systematic and systematized effort to feed though more in depth and spread

use of data for analyses supporting decision making

Building on previous work carried out within the ongoing

Idea project

Needs assessment(compensation)

Recovery

Local officials/insurers

Fair resources allocation

Regional/nationalofficers, insurancecompanies

EU Solidarity Fund in case of activation

Loss Accounting

Recording the impact

Local policy (city)

Measuring trends

International policy (UN, donors, EU Policy-DG ECHO)

Disaster forensic

Identify the cause

Local expert teams

Learning from the past

National expert teams

International experttemas (PDNA)

Risk modelling

Modelling future losses

Local research/policy

DRR and mitigation

National research/policy (Regional, GEM)

International initiatives(GEM, GAR), EU policy

National policy (National Adminsitrations)

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Adapted from De Groeve, T., Poljansek, K., Ehrlich, D., 2013. Recording Disasters Losses:

Recommendation for a European Approach, JRC Scientific and Policy Report.

However, those multiple purposes are connected to each

other….


Recovery





Loss Accounting


Local policy (city)

Measuring trends


Disaster forensic

Identify the cause

Local expert teams




Risk modelling



DRR and mitigation




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Moti

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Means: being

able to keep a

systematic track

of damage data

Scale: makes

sense at

regional, national

and international

scales

Use: identify

trends; respond

to Sendai F DRR

and other policies

(Flood Directive)

Means: explore

causes and drivers

of damage; link

damage data to

causes

Scale: makes

sense at local

and regional

scales mainly

Use: courts;

lessons learnt;

trigger new policies

and mitigation

measures

Means: forecast

expected damages

(including

probability of);

depicting scenarios

Scale: makes sense

at local, regional,

and national scales

mainly

Use: support/

design risk

mitigation measures

and in a broad

sense existing

policies

Means: provide

resources (including

compensation) for

recovery and

reconstruction

Scale: makes

sense at local,

regional, scales

mainly

Use: carried out by

public agencies,

lifelines providers,

insurance to assess

the financial and

resources requests


other…. Loss accounting over time is important to forecast the average amount needed for recovery/year


Recovery





Loss Accounting


Local policy (city)

Measuring trends


Disaster forensic

Identify the cause

Local expert teams




Risk modelling



DRR and mitigation




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Moti

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Recovery





Loss Accounting


Local policy (city)

Measuring trends


Disaster forensic

Identify the cause

Local expert teams




Risk modelling



DRR and mitigation




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Recovery





Loss Accounting


Local policy (city)

Measuring trends


Disaster forensic

Identify the cause

Local expert teams




Risk modelling



DRR and mitigation




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Ob

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Moti

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Recovery





Loss Accounting


Local policy (city)

Measuring trends


Disaster forensic

Identify the cause

Local expert teams




Risk modelling



DRR and mitigation




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Moti

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Learning lessons can be important to tailor the resources needed and predicting what may be arising needs

Understanding causes is important to identify links between risk variables over space and time

In loss accounting comparability is clearly crucial. For needs assessment, forensic and modelling other quality criteria are more important: realiability, granularity, accuracy….


other….


Recovery





Loss Accounting


Local policy (city)

Measuring trends


Disaster forensic

Identify the cause

Local expert teams




Risk modelling



DRR and mitigation




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Moti

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Recovery





Loss Accounting


Local policy (city)

Measuring trends


Disaster forensic

Identify the cause

Local expert teams




Risk modelling



DRR and mitigation




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Recovery





Loss Accounting


Local policy (city)

Measuring trends


Disaster forensic

Identify the cause

Local expert teams




Risk modelling



DRR and mitigation




Glo

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Ob

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Moti

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Recovery





Loss Accounting


Local policy (city)

Measuring trends


Disaster forensic

Identify the cause

Local expert teams




Risk modelling



DRR and mitigation




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Ob

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Moti

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Certainly the way those activities are (or are not) conducted; if they are systematic or occasional determine the destiny of the data on the one hand but also the potential for improving the knowledge base on which risk assessment and management are grounded on the other

Being systematic is a crucial aspect of all those efforts, however the extent to which systematic efforts are pursued depends on the relative interest of stakeholders who carry out the different tasks

Starting to explore the situation in Catalunya


Recovery





Loss Accounting


Local policy (city)

Measuring trends


Disaster forensic

Identify the cause

Local expert teams




Risk modelling



DRR and mitigation




Glo

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Moti

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Recovery





Loss Accounting


Local policy (city)

Measuring trends


Disaster forensic

Identify the cause

Local expert teams




Risk modelling



DRR and mitigation




Glo

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Recovery





Loss Accounting


Local policy (city)

Measuring trends


Disaster forensic

Identify the cause

Local expert teams




Risk modelling



DRR and mitigation




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Moti

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Recovery





Loss Accounting


Local policy (city)

Measuring trends


Disaster forensic

Identify the cause

Local expert teams




Risk modelling



DRR and mitigation




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Moti

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As in most cases those activities are carried out independently by a number of different organisations resulting in fragmentation of efforts, results and in the difficulty to combine results and data in new ways…

Consorcio de Compensacion de Seguros

Civil Protection (National and Regional)

Private properties

Public assets

Consorcio de Compensacion de Seguros

National Civil Protection Catalogues

Universities and research centres

Universities and research centres

Organisations in charge of risk prevention (Confederacion Hidrografica de Ebro Agència Catalana del Aigua)

(Agència Catalana del Aigua

Starting to explore the situation in Catalunya

In the Idea project we have used the data collected and organised by the Catalunya Civil Protection in the form of compensation needs for private and public assets

Sector and sub-sector Total Application Total Amount (€) Average per application (€)

Residences

Residences 357 4.237.376,89 11.237,40

Residences in Vall d’Aran

332 4.196.035,62 12.638,66

Cars and automobiles

Cars and automobiles 432 4.520.726,76 10.464,65

Cars and automobiles in Vall d’Aran

75 283.349,87 3.778,00

Tertiary sector

Businesses 154 5.721.037,38 37.149,59

Businesses in Vall d’Aran

130 5.267.526,33 40.519,43

Offices 157 5.766.881,60 36.713,73

Offices in Vall d’Aran 133 5.313.370,55 39.950,15

Secondary sector

Power companies and electronics

22 4.873.078,92 221.503,59

Power companies and electronics in Vall d’Aran

19 4.837.641,65 254.612,72

Infrastructures

Piping 13 5.583.612,30 39.950,15

Piping in Vall d’Aran 12 5.576.325,42 464.693,79


Recovery





Loss Accounting


Local policy (city)

Measuring trends


Disaster forensic

Identify the cause

Local expert teams




Risk modelling



DRR and mitigation




Glo

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Starting to

explore the

situation in

Catalunya


Recovery





Loss Accounting


Local policy (city)

Measuring trends


Disaster forensic

Identify the cause

Local expert teams




Risk modelling



DRR and mitigation




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In the Idea project we have used the data collected and organised by the Catalunya Civil Protection to carry out a «forensic investigation» of the case

factor

hazard

physical

vulnerabi

lity

social

vulnerabi

lity

organisational

vulnerability

systemic

vulnerability

reduction of

damage

increasing of

damage

description

rainfall x x xquantity and intensity of rainfall have direct effect on the water canalisation

capacity of riverbed

water depth x x x x water depth determines level of damage

water velocity x x x xwater velocity determines level of damage. Velocity decreases the concentration

time, increases the sediment transport and increases damage

water duration x x x x water duration determines level of damage

presence of sediments/mud x x x mud increased the damage/costs of recovery of affected items

presence of contaminants x xContaminants may increase the expenses and times of cleaning up. Polluted

sediments should be properly decontaminated. Land uses may be compromised

high temperatures x x xrising of temperatures accelerate snow melting, contributing to the rising of

water level

snow cover x x x Accumulation of snow in the top of the mountains is a key factor in water flow

slope x x x x

Slope contribute directly to the speed of the water. The valley is so narrow that

most of the

buildings and other manmade constructions are in these areas

trees/wood X X trees/wood sediments obstrucuted the river bed

landslides x x x xLandslides provoked destruction of paved and unpaved roads and bridges,

collapsed powerlines towers, diverted the river bed flooding areas

time of the event X Xthe flood occured during the night, so some mitigation actions could no be

taken

building elevation X X X higher buldings experienced leass damage

building location and exposure X X X the location of a building defines its exposure

wrong/lack of land use planning X X the hazard zone was urbanised becuase of lack of/wrong land use planning

building use X X some uses are more vulnerable than otherslack of building code X X X lack of building code increased the physical vulnerability of buildings

secondary residential property x x x

Secondary residential properties reduce the presence of people, decreasing the

eventuality of injuries. On the other hand, this typology of residences usually are

less well maintained, and thier owners less aware of its intrinsic risk

use of temporary barriers X Xthe barriers reduced the damage in some areas, divert water to other areas

flooding thempersonal decisions X X X moving car reduced the damage

existence of protective measures X Xthe presence of barriers decreased water depth. Besides, it provoked a diversion

of water flow, flooding areas unexpectedly

maintainance or river beds X X lack of maintainnace implied a more severe flood.

mitigation actionsPresence of debris blocked dams. Stream management thus was not possible,

increasing the system of warning X x early warning permit to take mitigation actions before the event

emergency management X XEmergency management according to plans (INUNCAT) helped coordination

actions, focusing

roads and lifelines disruption x x

Disruption of main roads have direct effects on the promptness response of

emergency teams. Besides, it has other effects , like indirect economic damages

related to delays on delivering goods, suspension of school bus transportation,

etc

sheltering x x x

Evacuation of campsites, houses next to the river bed and other dangerous

locations. Near 250

peolple were sheltered in hotels, next of kin's houses, old's peolple residences. A

sheltering center was build up by Red Cross.

Economic surround (lack of economic

diversification)x x

The main economic activity in the valley is tourism; other primary sectors (

forest products, cattle ranching and agriculture), have become progressively

less important since the opening of ski resorts.

tools, procedures and elaboration of data

collectionx x x

An accurated methodology of data collection enhance a better knowlegde of the

phenomenon, permits better and more efficient response, reduce time and

effors to recover and relieve compensation procedures

right and laws X 3 levels of administration, 3 different status of laws contribute to mess up

3 administrative levels x x x

Having different levels of administrations can complicate the necessary

exchange of information. Besides, river beds are competency of CHE, and

autonomous entity depending of environement Ministry of Spain. On the other

hand, citizens can adress their applications for grants to 3 different

administrations, obtaining at least some kind of answer

Lifelines companies x x

Being a private company managing lifelines (electricity) allow Endesa to ask for

the army (UME) collaboration (helicopters from Spanish air force). This could

speed up the reaction lapse, but also contribute to lessen the information

available and the coordination of actions needed.

lack of insurance X Xthe lack of insurance may increase the time required for recovery (economic

vulnerability?)

effecttype of factor

Starting to explore the situation in Catalunya Needs assessment

(compensation)

Recovery





Loss Accounting


Local policy (city)

Measuring trends


Disaster forensic

Identify the cause

Local expert teams




Risk modelling



DRR and mitigation




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PeopleEmergency

costsResidences Business Infrastructure Public areas/buildings Cultural heritage

3 3 3 3 3 3 3

1 1 1 1 1 1 1

2 2 2 2 2 2 2

1 1 1 1 1 1 1

Degree of damage causality per sector

factor

hazard

physical

vulnerabi

lity

social

vulnerabi

lity

organisational

vulnerability

systemic

vulnerability

reduction of

damage

increasing of

damage

description

rainfall x x xquantity and intensity of rainfall have direct effect on the water canalisation

capacity of riverbed

water depth x x x x water depth determines level of damage

water velocity x x x xwater velocity determines level of damage. Velocity decreases the concentration

time, increases the sediment transport and increases damage

water duration x x x x water duration determines level of damage

presence of sediments/mud x x x mud increased the damage/costs of recovery of affected items

presence of contaminants x xContaminants may increase the expenses and times of cleaning up. Polluted

sediments should be properly decontaminated. Land uses may be compromised

high temperatures x x xrising of temperatures accelerate snow melting, contributing to the rising of

water level

snow cover x x x Accumulation of snow in the top of the mountains is a key factor in water flow

slope x x x x

Slope contribute directly to the speed of the water. The valley is so narrow that

most of the

buildings and other manmade constructions are in these areas

trees/wood X X trees/wood sediments obstrucuted the river bed

landslides x x x xLandslides provoked destruction of paved and unpaved roads and bridges,

collapsed powerlines towers, diverted the river bed flooding areas

time of the event X Xthe flood occured during the night, so some mitigation actions could no be

taken

building elevation X X X higher buldings experienced leass damage

building location and exposure X X X the location of a building defines its exposure

wrong/lack of land use planning X X the hazard zone was urbanised becuase of lack of/wrong land use planning

building use X X some uses are more vulnerable than otherslack of building code X X X lack of building code increased the physical vulnerability of buildings

secondary residential property x x x

Secondary residential properties reduce the presence of people, decreasing the

eventuality of injuries. On the other hand, this typology of residences usually are

less well maintained, and thier owners less aware of its intrinsic risk









actions, focusing





etc

sheltering x x x


locations. Near 250




diversification)x x





collectionx x x

















vulnerability?)



(compensation)

Recovery





Loss Accounting


Local policy (city)

Measuring trends


Disaster forensic

Identify the cause

Local expert teams




Risk modelling



DRR and mitigation




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Moti

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factor

hazard

physical

vulnerabi

lity

social

vulnerabi

lity

organisational

vulnerability

systemic

vulnerability

reduction of

damage

increasing of

damage

description









actions, focusing





etc

sheltering x x x


locations. Near 250




diversification)x x





collectionx x x

















vulnerability?)



(compensation)

Recovery





Loss Accounting


Local policy (city)

Measuring trends


Disaster forensic

Identify the cause

Local expert teams




Risk modelling



DRR and mitigation




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Moti

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The different «levels» of a forensic investigation also considering the agency that carries it out and also the objective that it is serving


(compensation)

Recovery





Loss Accounting


Local policy (city)

Measuring trends


Disaster forensic

Identify the cause

Local expert teams




Risk modelling



DRR and mitigation




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Hazard

R. physical

R. organizatio

nal

R. social

R. economic

DEGREE OF DAMAGE REDUCTION

0,0

0,1

0,2

0,3

0,4

0,5

0,6

0,7

0,8

0,9

1,0

Degree of damage causality per sectorHazard Exposure V. physical V. systemic V. organizational V. social V. economics

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(compensation)

Recovery





Loss Accounting


Local policy (city)

Measuring trends


Disaster forensic

Identify the cause

Local expert teams




Risk modelling



DRR and mitigation




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Base maps Base maps Base maps Base mapsPhysical

event

Physical

eventPhysical event Physical event Physical event Physical event Physical event

DTM (modelo

digital del

terreno)

administrative

boundaries

(divisiones

administrativa

s)

land use (uso

del terreno)

census zones

(if relevant)

(zonas de

censo)

hazard zones

(from ex-

ante hazard

assessment)

river track-

for floods

monitoring

data

(precipitation/

water level,

etc.) - for

floods

forecasting

data (water

level) - for

floods

affected areas

hazard intensity

(water depth,

velocity,

duration,

sediments,

contaminants,

peak ground

acceleration,

etc.)

induced

landslides

susceptibility

(susceptibilida

d)

acquired x x x x x x x x x x x

In acquisition

not available

N/A

Base maps Physical event

Sector (13 sectors)

Data (72)

STATUS

Sendai Indicator

protective

measures (e.g.

dikes, walls,

weir) - for

floods

protective

measures (e.g.

dikes, walls,

weir) - for

floods

protective

measures (e.g.

dikes, walls,

weir) - for

floods

protective

measures (e.g.

dikes, walls,

weir) - for

floods

protective

measures (e.g.

dikes, walls,

weir) - for

floods

protective

measures (e.g.

dikes, walls,

weir) - for

floods

location/vulner

ability

(physical,

functional and

systemic

vulnerability)

direct damage

direct damage-

economic

value

indirect

damage (e.g.

disruption,

systemic)

indirect

damage (e.g.

disruption,

systemic) -

economic

value

mitigation

actions (before

and during the

event) ??????

acquired x x x x

In acquisition x x

not available

protective measures (e.g. dikes, walls, weir) - for floods

Sector (13 sectors)

Data (72)

STATUS

Sendai Indicator

Matching the data collected for the Val D’Aran case and the Sendai indicators. Clearly it is not just a matter of availability but also of how to aggregate at higher scales (national)

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(compensation)

Recovery





Loss Accounting


Local policy (city)

Measuring trends


Disaster forensic

Identify the cause

Local expert teams




Risk modelling



DRR and mitigation




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People People People People People People People

Lifelines

(roads,

railways,

electric lines,

water supply,

sewage,

telecom)

Lifelines

(roads,

railways,

electric lines,

water supply,

sewage,

telecom)

Lifelines

(roads,

railways,

electric lines,

water supply,

sewage,

telecom)

Lifelines

(roads,

railways,

electric lines,

water supply,

sewage,

telecom)

Lifelines

(roads,

railways,

electric lines,

water supply,

sewage,

telecom)

Lifelines (roads,

railways,

electric lines,

water supply,

sewage,

telecom)

exposed

people (e.g.

census data)

number of

death

number of

injured

number of

affected

people

number of

evacuee

intangible

damage

mitigation

actions (before

and during the

event)

(respuesta

inmediata

emergencia)

lifelines

location/vulner

ability (e.g.

length,

classification,

functional and

systemic

vulnerability)

direct damage

(lines and

installation)

direct damage

(lines and

installation) -

economic

value

indirect

damage (e.g.

disruption,

systemic)

indirect

damage (e.g.

disruption,

systemic) -

economic

value

mitigation

actions (before

and during the

event)

acquired x x x x x x x x x

In acquisition x

not available x x x

A2 B2 B1 B3 D5 D5

Sector (13 sectors)

Data (72)

STATUS

Sendai Indicator

People Lifelines (roads, railways, electric lines, water supply, sewage, telecom)

public items

(public

buildings/publi

c spaces)

public items

(public

buildings/pub

lic spaces)

public items

(public

buildings/publ

ic spaces)

public items

(public

buildings/publi

c spaces)

public items

(public

buildings/publi

c spaces)

public items

(public

buildings/publi

c spaces)

strategic

buildings

(hospital,

schools, head

quarters, etc.)

strategic

buildings

(hospital,

schools, head

quarters, etc.)

strategic

buildings

(hospital,

schools, head

quarters, etc.)

strategic

buildings

(hospital,

schools, head

quarters, etc.)

strategic

buildings

(hospital,

schools, head

quarters, etc.)

strategic

buildings

(hospital,

schools, head

quarters, etc.)

location/vulner

ability (e.g.

physical,

functional,

systemic)

direct damage

direct damage -

economic

value

indirect

damage (e.g.

service

disruption)

indirect

damage (e.g.

disruption,

systemic) -

economic

value

mitigation

actions (before

and during the

event)

location/vulner

ability (e.g.

physical,

functional,

systemic)

direct damagedirect damage -

economic value

indirect

damage (e.g.

service

disruption)

indirect

damage (e.g.

disruption,

systemic) -

economic value

mitigation

actions (before

and during the

event)

acquired x x x x x x

In acquisition x x

not available x x x x

D1 C7 D1 C7 D1, D2, D3 C7 D5 C7

Sector (13 sectors)

Data (72)

STATUS

Sendai Indicator

public items (public buildings/public spaces) strategic buildings (hospital, schools, head quarters, etc.)

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(compensation)

Recovery





Loss Accounting


Local policy (city)

Measuring trends


Disaster forensic

Identify the cause

Local expert teams




Risk modelling



DRR and mitigation




Glo

bal

use

rsN

ati

on

al

use

rsL

oca

l u

sers

Ob

je-

ctiv

es

Moti

-vati

on

economic

activities

(commercial,

industrial,

agricultural)

economic

activities

(commercial,

industrial,

agricultural)

economic

activities

(commercial,

industrial,

agricultural)

economic

activities

(commercial,

industrial,

agricultural)

economic

activities

(commercial,

industrial,

agricultural)

economic

activities

(commercial,

industrial,

agricultural)

economic

activities

(commercial,

industrial,

agricultural)

Residential

buildings

Residential

buildings

Residential

buildings

Residential

buildings

Residential

buildings

Residential

buildings

Residential

buildings

location/vulner

ability (e.g.

physical

vulnerability,

economic

sector,

personnel)

economic

value (e.g. net

capital value)

direct damage

direct damage -

economic

value

indirect

damage (e.g.

loss of

income, clean-

up) -

economic

value

indirect

damage -

economic

value

mitigation

actions (before

and during the

event)

market value

location/vulner

ability (e.g.

maintenance,

typology)

direct damage

direct damage

- economic

value

indirect

damage (e.g.

evacuation,

clean-up, etc.)

indirect

damage (e.g.

evacuation,

clean-up, etc.)

- economic

value

mitigation

actions (before

and during the

event)

acquired x x x x x x x x

In acquisition x x

not available x x x x

C2, C3, C4 C2, C3, C4 C5, C6 C5, C6

Sector (13 sectors)

Data (72)

STATUS

Sendai Indicator

economic activities (commercial, industrial, agricultural) Residential buildings

Environment Environment Environment EnvironmentCultural

Heritage

Cultural

Heritage

Cultural

Heritage

Cultural

Heritage

Emergency

management

Emergency

management

Emergency

management

location/vulner

abilitydirect damage

indirect

damage

mitigation

actions (before

and during the

event)

location/vulner

abilitydirect damage

indirect

damage

mitigation

actions (before

and during the

event)

employed

resources

(sand bags,

tends, vehicles,

etc.)

emergency

costspersonnel

acquired x x x x x x x x x

In acquisition

not available x x

Sector (13 sectors)

Data (72)

STATUS

Sendai Indicator

Environment Cultural Heritage Emergency management

We think collecting and organising the data by sector is an added value, so that aggregation across sectors can be carried out at a later stage, for example for the Sendai indicators purpose.

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protective

measures (e.g.

dikes, walls,

weir) - for

floods

protective

measures (e.g.

dikes, walls,

weir) - for

floods

protective

measures (e.g.

dikes, walls,

weir) - for

floods

protective

measures (e.g.

dikes, walls,

weir) - for

floods

protective

measures (e.g.

dikes, walls,

weir) - for

floods

protective

measures (e.g.

dikes, walls,

weir) - for

floods

People People People People People People People

location/vulner

ability

(physical,

functional and

systemic

vulnerability)

direct damage

direct damage-

economic

value

indirect

damage (e.g.

disruption,

systemic)

indirect

damage (e.g.

disruption,

systemic) -

economic

value

mitigation

actions (before

and during the

event) ??????

exposed

people (e.g.

census data)

number of

death

number of

injured

number of

affected

people

number of

evacuee

intangible

damage

mitigation

actions (before

and during the

event)

(respuesta

inmediata

emergencia)

acquired x x x x x x x x x x

In acquisition x x

not available x

A2 B2 B1 B3

DGPC DGPC

CCS (Consorcio

de

Compensación

de Seguros)

DGPC CCS DGPC IDESCAT SEM SEM DGPC DGPC CCS SEM

ACA ACA

MUNICIPALITIE

S

MUNICIPALITIE

S

PC ACA

CONSELH

GENERAU

D'ARAN

IMLC

(FORENSICS)

MUNICIPALITI

ES

MUNICIPALITI

ES

DGPC CME

CHE CHE

CONSELH

GENERAU

D'ARAN

CONSELH

GENERAU

D'ARAN

CHE

CONSELH

GENERAU

D'ARAN

CONSELH

GENERAU

D'ARAN

MUNICIPALITI

ES

BG

MUNICIPALITIE

S

MUNICIPALITIE

S

LIFELINES

COMPANIES

MUNICIPALITIE

S

RED CROSS RED CROSS

CONSELH

GENERAU

D'ARAN

DGPC

CONSELH

GENERAU

D'ARAN

CONSELH

GENERAU

D'ARAN

SCT

CONSELH

GENERAU

D'ARAN

DEPARTAMEN

T DE JUSTÍCIA

(OFICINA

D'ATENCIÓ A

VÍCTIMES -del

delicte-)

RED CROSS

MUNICIPALITIE

S

ENDESA

GENERACIÓN

(DAM

MANAGER)

ENDESA

GENERACIÓN

(DAM

MANAGER)

DEPARTAMENT

D'EMPRESA I

OCUPACIÓ

ENDESA

GENERACIÓN

(DAM

MANAGER)

DEPARTAMEN

T DE JUSTÍCIA

(OFICINA

D'ATENCIÓ A

VÍCTIMES -del

delicte-)

CONSELH

GENERAU

D'ARAN

MINISTERIO DE

FOMENTO

MINISTERIO DE

FOMENTO

DEPARTAMENT

D'ENSENYAME

NT

MINISTERIO DE

FOMENTO RED CROSS

DEPARTAMENT

DE TERRITORI I

SOSTENIBILITAT

DEPARTAMENT

DE TERRITORI I

SOSTENIBILITAT

DEPARTAMENT

DE TERRITORI I

SOSTENIBILITAT

Sector (13 sectors)

Data (72)

STATUS

Sendai Indicator

S

o

u

r

c

e

protective measures (e.g. dikes, walls, weir) - for floods People

We see that for each indicator data derive from a variety of services and agencies, we would need a pre-processing of the data and the definition of what data to use or how to combine data from different sources to come up with the «results» for the indicators. Clearly this is very context dependant (the agencies, the services)

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The regional level is intermediate between local (municipality) and national; at this level meaningful aggregations can be made to feed databases at the higher scale but also to organise data for other purposes;

The assessment by sectors is really important to get a comprehensive reliable picture that can be of use for multiple purposes

Identifying and mapping the agencies and organisations that collect data is crucial in order to feed a database that will allow comparable results of queries for a variety of purposes (especially accounting, Sendai);

Developing systems for pre-processing data, organizing them so as to be queried for a variety of pursposes (functions) is crucial to ease the process, avoid duplication, mistakes, errors, and save time

A check on the unit of measure of some indicators for Sendai would be necessary to compare what is collected and how data can be used as values or proxies in a reasonable way.

How we see this exercise useful for the Catalunya Civil Protection

Authority but also for other regional levels governments and in

perspective nationally

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Carrying out the exercise for different purposes at the same time permits to assess the overall effort (requested time and extent of data collection) but also provide a larger opportunity for implementation (people are happier to see they do an effort that is meaningful to them and operationally open to a verity of end uses)

The development of a system open to a variety of uses requires a very strong capacity (and time) for the architecture design (and also initial implementation of the functions and applications) however, then all stakeholders would work on the same set of data, avoiding mistakes and lack of congruence even by order of magnitude.

How we see this exercise useful for the Catalunya Civil

Protection Authority but also for other regional level

governments and in perspective nationally

Results from DRMKC Support System-Spain (Rosa Mata Francès, CP Catalunya and Scira Menoni, POLIMI)

Government & Nonprofit

Transcript of Results from DRMKC Support System-Spain (Rosa Mata Francès, CP Catalunya and Scira Menoni, POLIMI)