Skopie, 10 to 12 October 2011

An integrated approach An integrated approach to the management to the management in prevention and in prevention and

fighting against forest firesfighting against forest fires

Camilo Vázquez BelloCamilo Vázquez BelloDirectorate-General on Civil Protection and EmergenciesDirectorate-General on Civil Protection and Emergencies

Ministry of Interior, SpainMinistry of Interior, Spain

A MAJOR RISK FOR SPAINA MAJOR RISK FOR SPAIN

• Forest area: 14,4 Millions Ha (30% of the territory of Spain).Forest area: 14,4 Millions Ha (30% of the territory of Spain).

• 66% private property.66% private property.• 30% Municipalities property.30% Municipalities property.

• 4% Regions property.4% Regions property.

FOREST FIRESFOREST FIRES

Forest fires by Municipality (2000-2010).

• 50% of Spanish forest 50% of Spanish forest territory has been declared territory has been declared area of high risk forest firesarea of high risk forest fires

o Each field or forest of high Each field or forest of high risk is covered by a Forest risk is covered by a Forest Management Plan Management Plan

o Central Administration and Central Administration and the regional governments the regional governments have a common Civil have a common Civil Protection Emergency Plan Protection Emergency Plan against Forest Firesagainst Forest Fires (from (from 1994)1994)

ÁREAS IDENTIFIED AS OF HIGH RISK OF FOREST FIRES ÁREAS IDENTIFIED AS OF HIGH RISK OF FOREST FIRES

FOREST FIRESFOREST FIRES

7.236

4.096

11.332

9.482

6.604

16.086

9.366

5.329

14.695

10.624

5.991

16.615

13.648

7.737

21.385

8.669

4.736

13.405

4.364

2.083

6.447

5.752

3.680

9.432

7.241

4.729

11.970

5.668

3.156

8.824

6.958

3.301

10.259

0

5.000

10.000

15.000

20.000

25.000

2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011

Total Siniestros

Nº INCENDIOS > 1 ha

Nº CONATOS

NUMBER OF FOREST FIRES.

STATISTIC EVOLUTION (2001-2011) STATISTIC EVOLUTION (2001-2011)

5.000

2002 2003 2004 2005 2006 2007 201020092008

20.000

15.000

10.000

25.000

2001 2011

103.264

121.936

46.928

115.399

42.96451.687

73.384

167.590

141.122

75.105

152.197

0

25.000

50.000

75.000

100.000

125.000

150.000

175.000

2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011

ha

BURN FOREST AREAS (HA)

STATISTIC EVOLUTION STATISTIC EVOLUTION (2001-2011)(2001-2011)

2002 2003 2004 2005 2006 2007 201020092008

25.000

50.000

75.000

100.000

125.000

150.000

175.000

2001 2011

Training, education, mediaTraining, education, mediaand prevention cultureand prevention culture

CAUSES AND MOTIVATIONSCAUSES AND MOTIVATIONS

X Increased use of forest areas Public awareness

Harvesting and Harvesting and use of Biomassuse of Biomass

X Fuel Fuel building building upup Preventive forestry

Sustainable forestry and Sustainable forestry and forest managementforest management

Remote sensingRemote sensing

X ClimateClimate Early Warning

Daily risk maps Daily risk maps

PREVENTIVE MEASURES

Lack of danger awareness Lack of danger awareness from urban populationfrom urban population

Rural area's depletionRural area's depletion

Low forest productivityLow forest productivity

Temperature, humidity, windTemperature, humidity, wind

PenaltiesPenalties

X Motivation Surveillance and prosecution

Risk MapsRisk Maps

X Uncontrolled burningUncontrolled burning Burning procedures regulation

Conciliation of interestConciliation of interest

Technical counselingTechnical counseling

Conflicts over protected areasConflicts over protected areas

Pasture regenerationPasture regeneration

Extensive agricultureExtensive agriculture

Labor Labor conflictsconflicts

RevengeRevenge

Decreased surveillance Decreased surveillance

PREVENTIVE MEASURES

CAUSES AND MOTIVATIONCAUSES AND MOTIVATION

Early satellite detectionEarly satellite detection

Confirmation of departure point Confirmation of departure point

and its developmentand its development

Scenario analysis through Scenario analysis through

cartographic data basescartographic data bases

1

2

3

EARLY WARNINGEARLY WARNING

INDEX

4Identification of the population Identification of the population

potentially affected and ofpotentially affected and of

the vulnerability of essential servicesthe vulnerability of essential services

Dissemination of reports, Dissemination of reports,

alerts and monitoringalerts and monitoring5

• Space detection based upon Space detection based upon Modis (UN/FAO) and Modis (UN/FAO) and Meteosat satellites.Meteosat satellites.

• Integration of data on Integration of data on topography, meteorological topography, meteorological forecast, fuel models and forecast, fuel models and satellite observation on satellite observation on humidity though geographical humidity though geographical information systems.information systems.

• Estimation of the potential fire Estimation of the potential fire path and evaluation of path and evaluation of potential effects on population potential effects on population and properties. and properties.

EARLY WARNINGEARLY WARNING

SATELLITE DETECTION

METEOSAT

1

2

EARLY WARNINGEARLY WARNING

CONFIRMATION OF THE FIRE AND ITS DEVELOPMENT

Automatic e-mail reception of reports and modelling resultsAutomatic e-mail reception of reports and modelling results 2

EARLY WARNING EARLY WARNING

SCENARIO ANALYSIS

Automatic e-mail reception of reports and modeling resultsAutomatic e-mail reception of reports and modeling results3

&

4

MODELLING AND SIMULATION OF FIRES

EARLY WARNINGEARLY WARNING

3

&

4

Gobierno

13

EARLY WARNINGEARLY WARNING

ALERT DISSEMINATION (I)

Dissemination from the National Emergency CenterDissemination from the National Emergency Center

GovernmentGovernment

Members of the national coordination center

Organizations in charge at regional level.Representatives of Central Government, in regions and provinces

To the population through media and Web portals

5

Publication of daily forecasts on the Publication of daily forecasts on the meteorological and fire risks webs and mediameteorological and fire risks webs and media

EARLY WARNINGEARLY WARNING

www.proteccioncivil.eswww.proteccioncivil.es

www.inforiesgos.eswww.inforiesgos.es

mass mediamass media

5

ALERT DISSEMINATION (II)

Annual timetable from 15th June to 30th October Annual timetable from 15th June to 30th October

11 Ministries of State11 Ministries of State

RegionsRegions

UME (Military Emergency Unit)UME (Military Emergency Unit)

COORDINATIONCOORDINATION

NATIONAL COMMISSION: ANNUAL PLAN ON FIGHTING AGAINST FOREST FIRES

FIGHT AGAINST FOREST FIRES FIGHT AGAINST FOREST FIRES

ASSETS AND HUMAN RESOURCES

CENTRAL GOVERNMENT ASSETS

Amphibious planes(5 in reserve)

28

Land water resupply 9

Helicopters(3 from UME)

31

Communications and observation planes

2

Total 70

Aerial means: Total 62

Human resources: about 500 persons

Human Assets Aerial Assets

resources Fire vehicles

Meteo mobile

unit 4x4 Vehicles

Heavy duty public work equipment Others Helicopters Planes

TOTAL 20.416 931 10 1.536 48 3 170 46

REGIONAL ASSETS

TOTAL OF SPANISH ASSETS

Human resources: 20.916Aerial assets: 286

FIGHT AGAINST FOREST FIRESFIGHT AGAINST FOREST FIRES

MILITARY EMERGENCY UNIT

Islas Baleares

Girona

Lugo

Pontevedra

León

Ourense

Zamora

Valladolid

Salamanca

Ávila

Segovia

Burgos

Soria

Logroño

Álava

VizcayaGuipúzcoa

Huesca

Teruel

Badajoz

Toledo

Guadalajara

Cuenca

Ciudad Real

Murcia

Almería

Córdoba

Málaga

Cádiz

SevillaGranada

CoruñaAsturias

Santander

Navarra

LleidaBarcelona

Tarragona

Zaragoza

Madrid

Cáceres

Albacete

Castellón

Valencia

Alicante

Jaén

Huelva

Palencia

CeutaLos

Rodeos

Gran Canaria

Gando

Melilla

BIEM V

BIEM IV

BIEM III

BIEM I

UCG

COMMAND AND HQ

RAEM

AGRUMEDA

BIEM II

BIEM II“GANDO” & “LOS RODEOS”

DETACHMENT

Tenerife

Human resources: 30 sections: 1.500 personnel + 1.500 personnel support.

AssetsFire fighting vehicles: 170Feeders: 42Helicopters: 3Command, control and logistic support equipment

Skopie, 10 to 12 October 2011

www.proteccioncivil.es