Disaster Inventories Workshop - PowerPoint PPT Presentation

Loading...

PPT – Disaster Inventories Workshop PowerPoint presentation | free to download - id: 69b6cd-OWNmZ



Loading


The Adobe Flash plugin is needed to view this content

Get the plugin now

View by Category
About This Presentation
Title:

Disaster Inventories Workshop

Description:

Disaster Inventories Workshop EQUATION OF RISK Degree of population or infrastructure fragility Population living in the exposed area, infrastructure – PowerPoint PPT presentation

Number of Views:23
Avg rating:3.0/5.0
Slides: 55
Provided by: Julio77
Learn more at: http://www.desinventar.net
Category:

less

Write a Comment
User Comments (0)
Transcript and Presenter's Notes

Title: Disaster Inventories Workshop


1
Disaster Inventories Workshop
EQUATION OF RISK
Degree of population or infrastructure
fragility
Population living in the exposed area,
infrastructure
Frequency Magnitude (or intensity of hazard
Number of expected people killed, other losses
Risk Hazard x Element exposed x Vulnerability
Risk Physical Exposure x Vulnerability
UNDRO (1979), Natural Disasters and
Vulnerability Analysis in Report of Expert Group
Meeting
2
Disaster Inventories Workshop
The Risk Triangle
Risk is a combination of the interaction of
hazard, exposure, and vulnerability, which can be
represented by the three sides of a triangle.
Reliable Accurate Data
Reliable Accurate Data
If any one of these sides increases, the area of
the triangle increases, hence the amount of risk
also increases. If any one of the sides reduces,
the risk reduces. If we can eliminate one side
there is no risk.
Reliable Accurate Data
3
Disaster Inventories Workshop
  • Hazard a natural or social-technological
    phenomena that produces damages to human lives,
    economic/social infrastructure and environment
    (earthquakes, floods, droughts, etc.)
  • Vulnerability Degree of population or
    infrastructure fragility to hazards.
  • Risk the probability of a certain level of loss
    to occur.

4
Disaster Inventories Workshop
DISASTER RISK MANAGEMENT CYCLE
5
Disaster Inventories Workshop
  • Prevention, Preparedness, Mitigation, Risk
    Reduction.
  • Effective early warning and preparedness, land
    use planning and appropriate construction, risk
    assessment in projects and planning, community
    based risk management, insurance (financial and
    social) and asset protection through social
    safety nets among others dramatically reduce
    human exposure to hazard and susceptibility to
    harm. Action to reduce risks from natural
    disasters must be at the centre of development
    policy
  • DFID Policy Briefing, Disaster risk reduction a
    development concern, 2004.

6
Disaster Inventories Workshop
  • Emergency The phase immediately after impact is
    characterized by the intense and serious
    disturbance and the minimum conditions
    necessary for the survival and functioning of the
    affected social unit are not satisfied
  • Recovery Process of re-establishing acceptable
    and sustainable living conditions through the
    rehabilitation, repair and reconstruction of
    destroyed, interrupted or deteriorated
    infrastructure, goods and services and the
    reactivation or promotion of economic and social
    development in affected areas

7
Disaster Inventories Workshop
  • UNDAC mainly for response purposes(United
    Nations Disaster Assessment and Coordination).
    Being replaced by a series of more specialized
    assessments (UNOSAT, EC-IRA, WHO-RHA, etc.)
  • ECLAC adopted for measuring direct and indirect
    economic and social impacts, divided by
    economical sectors(Economic Commission for Latin
    America and the Caribbean)

8
Disaster Inventories Workshop
RISK ASSESSMENTS
Risk assessment is the determination of
quantitative or qualitative value of risk related
to a concrete situation, location and a specific
threat.
  • Are targeted to specific hazards
  • Require large amounts of information
  • Involve complex modeling
  • May change over time
  • Urban or regional

9
Disaster Inventories Workshop
Hazard probability (frequency)
Exposed population
Simple Risk Index
10
Disaster Inventories Workshop
Some Applications of Risk Assessments
  • Identification of Priority areas (Hotspots)
  • Evaluation of urgency of action
  • Support for Preparedness, Risk Mitigation, EWS
    plans
  • Support for Policies/Regulations and investments
  • Strategic advantage for negotiation
  • Other applications

11
Disaster Inventories Workshop
Mitigation actions Specifics
Engineering, constructing measures Map. Inventory of non-engineered buildings Design standards, building codes potential incentives (reduced insurance cost, land title, etc)
Physical planning measures Landuse and zoning regulations map/inventory of lifelines facilities location of population concentration design of supply and transport networks
Economic measures Unemployment, income distribution, poverty levels degree of diversification taxation and incentive policies access to insurance
Management and institutional measures Political will to implement mitigation measures Government structures established to plan prioritization of planning responsibility assignments
Social measures Commitment on public education Participation of communities in decisions
12
DesInventar The Project
  • Some of the Hypothesis that inspired the project
  • Disasters are a problem of Development
  • Natural disasters are not so natural
  • Impact of Disasters is growing
  • Small and medium disasters impact is extremely
    high
  • Small and medium disasters occurrence patterns
    can show vulnerability

13
What is DesInventar
  • A data collection methodology
  • A preliminary analysis methodology
  • A set of Software Tools

DesInventar Contexts
  • As a Historical Disaster database
  • As a Post-disaster damage loss data collection
    tool

14
DesInventar Methodology
  • essentially proposes the collection of
    homogeneous data about disasters of all scales.
    The information compiled and processed is entered
    in a scale of time and referenced to a relatively
    small geographic unit.

15
DesInventar Data CollectionMethodology
  • Concepts
  • Definitions
  • Glossary of Events and Effects
  • Recommendations How tos

16
DesInventar Methodology
  • Concepts
  • Hazard
  • Vulnerability
  • Risk
  • Geography

17
DesInventar Methodology
  • Definition
  • Event is defined as any social-natural
    phenomena that can be considered as a threat to
    life, properties, infrastructure and environment.

18
DesInventar Methodology
  • Definition
  • Disaster is defined as the set of adverse
    effects caused by social-natural and natural
    phenomena on human life, properties,
    infrastructure and environment (an Event)
    within a specific geographic unit during a given
    period of time.

19
DesInventar Methodology
  • Geography
  • multi-layered area units
  • Hierarchical structure (currently limited to
    three levels)
  • Usually Administrative boundaries
  • Challenge Selecting the maximum resolution

20
DesInventar Methodology
GLOSARY OF TERMS EVENTS
ACCIDENT HAILSTORM
FLASH FLOOD (ALLUVION) HEAT WAVE
AVALANCHE LANDSLIDE
BIOLOGICAL DISASTER LEAK
COASTLINE EROSION LIQUEFACTION
DROUGHT TSUNAMI
EARTHQUAKE PLAGUE
ELECTRIC STORM POLLUTION
EPIDEMIC RAINS
VOLCANIC ERUPTION SEDIMENTATION
EXPLOSION SNOWSTORM
FAILURE SPATE
FIRE STORM
FLOOD WINDSTORM
FOREST FIRE STRUCTURE
FROST SURGE
21
DesInventar Methodology
DEFINITIONS OF EFFECTS
22
DesInventar Methodology
  • Recommendations How tos
  • Selection of Boundaries
  • Choosing the maximum resolution
  • Selecting Codes (and names)
  • The Period of the research
  • Selection of sources

23
DesInventar Methodology
  • Recommendations How tos
  • When disaggregated data is unavailable
  • Discrepancies among sources
  • Chained events
  • When geographical units are split
  • Long duration events

24
Preliminary Analysis Methodology
Preliminary analysis is a set of SIMPLE
operations that can be routinely applied to a
DesInventar database that can provide very
quickly with proxy indicators of Risk and help
identifying patterns and trends. Is called
Preliminary because it doesnt correlate the
data with other possible sources of data such as
demography, topography, land use, etc. It is a
self-contained analysis. Deeper analysis
should be done after to further prove conclusions
and establish causes.
25
Preliminary Analysis Methodology
  • Composition of disasters (type and effects)
  • Temporal analysis (trends and patterns)
  • Spatial distribution analysis (spatial patterns)
  • Cause-effect analysis
  • Statistical Analysis (mean, max, deviation,
    variance)

26
Preliminary Analysis Methodology
  • Composition Analysis
  • Shows what types of disasters are affecting a
    region
  • Compares the effect of different types of events
  • Analysis is done on specific types of effects
    (human life, housing, agriculture, etc.)
  • Can be done for the entire area or specific
    sub-regions

27
Preliminary Analysis Methodology
  • Use of Composition Analysis
  • Provides initial figures aggregated in time and
    space showing the total impact of disasters.
  • Helps focusing the rest of the analysis by
    identifying critical types of events

28
Examples of Preliminary Analysis With Tamil Nadu
Disaster Data
  • Kanyakumari District

Composition of Disasters Number of Reports
29
Examples of Preliminary Analysis With Tamil Nadu
Disaster Data
  • Kanyakumari District

Composition of Disasters Number of Deaths
30
Examples of Preliminary Analysis With Tamil Nadu
Disaster Data
  • Kanyakumari District

Composition of Disasters Number of houses
damaged or destroyed
31
Examples of Preliminary Analysis With Tamil Nadu
Disaster Data
  • State level figures (incomplete)

Composition of Disasters Number of Reports
32
Examples of Preliminary Analysis With Tamil Nadu
Disaster Data
  • State level figures (incomplete)

Composition of Disasters Number of Deaths
33
Examples of Preliminary Analysis With Tamil Nadu
Disaster Data
  • State level figures (incomplete)

Composition of Disasters Number of Houses
Damaged or Destroyed
34
Examples of Preliminary Analysis With Tamil Nadu
Disaster Data
  • Temporal Analysis
  • This type of analysis shows patterns of
    occurrence of disasters along time (for example
    the seasonality of atmospheric events) and trends
    of the occurrence and impact of disasters,
    calculated in terms of different effect
    variables, such as Number of deaths, Number of
    destroyed houses, number of reports etc.

35
Examples of Preliminary Analysis With Tamil Nadu
Disaster Data
  • Use of Temporal Analysis
  • Provides input for time aspects of contingency
    plans, DRM, etc.
  • Follow up of effectiveness of Risk Mitigation
    Plans

36
Examples of Preliminary Analysis With Tamil Nadu
Disaster Data
  • Kanyakumari District

Occurrence of Disasters Number of Reports
37
Examples of Preliminary Analysis With Tamil Nadu
Disaster Data
  • Kanyakumari District

Seasonality of Disasters Number of Deaths
38
Examples of Preliminary Analysis With Tamil Nadu
Disaster Data
  • State level figures (incomplete)

Occurrence of Disasters Number of Reports
39
Examples of Preliminary Analysis With Tamil Nadu
Disaster Data
  • State level figures (incomplete)

Trends in Disasters Number of Deaths EXCLUDING
TSUNAMI
40
Examples of Preliminary Analysis With Tamil Nadu
Disaster Data
  • Spatial Analysis
  • This type of analysis shows patterns of
    occurrence of disasters over space, displayed as
    colored areas in terms of the number of reports
    and different effect variables, such as Number of
    deaths, Number of destroyed houses, etc.

41
Examples of Preliminary Analysis With Tamil Nadu
Disaster Data
  • Spatial Analysis
  • Riskier and/or Vulnerable areas may be identified
    by isolated areas or clusters of areas with
    higher than average level of impact
  • It usually shows patterns of higher than average
    impact associated to geography elements (rivers,
    hill areas, etc)
  • Can be combined with temporary analysis to
    provide seasonal occurrence maps

42
Examples of Preliminary Analysis With Tamil Nadu
Disaster Data
  • Use of Spatial Analysis
  • Provides Maps of proxy indicators of Risk
    (proxy risk maps) in absence of much higher
    cost, long term risk maps
  • Should be used as input layer to modelled risk
    maps
  • Can be used to validate and complement risk maps
  • DOES NOT REPLACE OTHER MODELLING-BASED RISK
    ASSESMENT MAPS or GIS SYSTEMS

43
Examples of Preliminary Analysis With Tamil Nadu
Disaster Data
  • Kanyakumari District

44
Examples of Preliminary Analysis With Tamil Nadu
Disaster Data
  • State level figures (Incomplete)

Patterns in Disasters Multi- Hazard Map of
Number of Deaths EXCLUDING TSUNAMI
45
Examples of Preliminary Analysis With Tamil Nadu
Disaster Data
  • State level figures (Incomplete)

Patterns in Disasters Multi-hazard Map of Number
of Reports EXCLUDING TSUNAMI
46
Examples of Preliminary Analysis With Tamil Nadu
Disaster Data
  • State level figures (Incomplete)

Patterns in Disasters Multi-Hazard Map of
Number of Houses affected EXCLUDING TSUNAMI
47
Examples of Preliminary Analysis With Tamil Nadu
Disaster Data
  • State level figures (Incomplete)

Patterns in Disasters FLOODS Number of Reports
48
Examples of Preliminary Analysis With Tamil Nadu
Disaster Data
  • State level figures (Incomplete)

Patterns in Disasters FLOODS Number of Houses
affected
49
Examples of Preliminary Analysis With Tamil Nadu
Disaster Data
  • State level figures (Incomplete)

Patterns in Disasters FLOODS Number of deaths
50
Examples of Preliminary Analysis With Tamil Nadu
Disaster Data
  • Statistical Analysis
  • Provides Tabular form of data to support other
    types of analysis
  • Provides aggregates of data by multiple criteria
    with simple pivoting operations
  • Provides basic statistical measures (mean,
    variance, std. deviation, maximums, etc)
  • Provides information to be further processed by
    other systems (export of aggregated data)

51
Examples of Preliminary Analysis With Tamil Nadu
Disaster Data
52
Potential Use of DesInventar
  • Discutir como sera implementado o Observatorio de
    Desastres em Mocambique. Como e quem o vai
    operar?
  • Quem serao os usuarios dos produtos do
    Observatorio. Como esses produtos serao acessados
    e disseminados?
  • Como sera realizado o processo de analise e sua
    relacao com a avaliacao do risco?
  • Discutir como sera implementado o processo de
    investigacao historica?
  • Outros pontos adicionais/sugestoes

53
Potential Use of DesInventar
  • Input as vulnerability layer for Risk assessment
    models (proxy indicators)
  • Support for plans (Preparedness, Risk Mitigation,
    etc)
  • Follow-up of efficiency of these plans
  • Validation of Risk Hazard Maps
  • Support for Policies/Regulations and investments
  • Strategic advantage for negotiation
  • Damage Assessment System in major disasters
  • Other applications

54
DesInventar
THANK YOU
About PowerShow.com