Disaster Assessment

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    Disaster Assessment

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    Types of natural disasters

    Landslides Earthquakes

    Tsunami

    Cyclones Floods

    Snow avalanche

    Case studies for disaster

    assessment using Geospatial

    techniques

    Use of Remote Sensing & GIS

    software for disaster assessment.

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    The natural disasters have become fast recurring

    phenomena all over the world causing huge loss of

    human lives and crumbling impact on the economy of

    a country.

    Natural disasters are inevitable and Indian subcontinent

    is prone to all type of natural disaster, e.g., earthquake,

    flood, drought, cyclone, Tsunami, landslides,

    avalanche, forest fires, etc.

    The natural disasters can not be prevented fully but

    their impact can be minimized with sound disaster

    management strategy aided by the latest technologicaladvancements in the field of Geoinformatics.

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    The disaster management is a multi-

    disciplinary endeavour, requiring many typesof data with spatial and temporal attributes

    that should be available to district

    administrators in the right format for

    decision-making.

    Geographic Information System (GIS) is apowerful tool which can be used to create

    integrated geo-database, visualize scenarios,

    develop advanced spatial models and

    effective solutions, prepare disaster zonationmaps, and the management plans.

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    Landslides

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    Landslides occur when stability of slope changes from a stable to

    an unstable condition.A change in the stability of a slope can be due to :

    Natural causes :

    Ground water pressure

    Loss of vegetative structure and soil nutrients

    (after forest fire)

    Erosion of a slope by rivers or ocean waves

    Slope saturation by snowmelt or heavy rains Earthquakes

    Volcanic eruptions

    Human causes : Deforestation,

    Cultivation and construction,

    Vibrations from machinery or traffic

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    Global zones of landslide risk

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    Landslide classification

    1. Debris flow

    Slope material that becomes saturated with water

    develop into a slurry of rock and mud that pick uptrees, houses and cars, thus blocking bridges and

    tributaries causing flooding along its path.

    2. Earth flow

    Downslope, viscous flows of saturated, fine-

    grained materials, moving at speeds from 0.17 to

    20 km/h.

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    3. Debris avalancheChaotic movement of rocks soil and debris

    mixed with water or ice (or both). Here the

    movement is much more rapid.

    4. Movement

    Debris slides begin with large blocks that break

    apart as they move towards the toe. This

    process is much slower than that of a debris

    avalanche.

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    5. Sturzstrom

    Mobile, flowing very far over a low angle, flat, or even slightly uphillterrain.

    6. Causing tsunamis

    Landslides that occur undersea, or have impact into water, can generate

    tsunamis.

    7. Deep-seated landslide

    Landslides in which the sliding surface is

    mostly deeply located below the maximumrooting depth of trees (depth > 10 m)

    8. Shallow landslideLandslide in which the sliding surface is

    located within the soil mantle or weathered

    bedrock (depth < 1 m)

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    The analysis is mainly done for

    Identify factors related to landslides,

    Estimate relative contribution each factor,

    Establish a relation between factors and landslides,

    Predict the landslide hazard of future

    The factors used for landslide hazard analysis are

    Geomorphology

    Geology

    Land use/land cover

    Hydrogeology

    Landslide hazard analysis and mapping provides useful information for

    catastrophic loss reduction and for development of guidelines forsustainable land use planning.

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    Since many factors are considered for landslide

    hazard mapping, GIS is an appropriate toolbecause it has functions of collection, storage,

    manipulation, display, and analysis of large

    amounts of spatially referenced data which canbe handled fast and effectively.

    Remote sensing techniques are also highly

    useful, before and after satellite imagery are

    used to gather landslide characteristics,

    distribution and classification to reveal how thelandscape changed after an event, what may

    have triggered the landslide, and process of

    regeneration and recovery.

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    Using satellite imagery in combination with GIS and on-

    the-ground studies, it is possible to generate extremely

    detailed maps of past events and likely future landslides.

    Such maps have the potential to save lives, property, and

    money.

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    Landslides is one of the major natural catastrophes of the NilgirisDistrict, which account for a considerable loss of life and damage to

    communication routes, human settlements, agricultural and

    forestland.

    The problem of landslides becomes more aggravated, especially during

    the rainy season.

    CASE STUDY

    Data used :

    A watershed has been taken for landslide hazard

    zonation (LHZ)

    mapping is done using 10-meter contour intervalSurvey Of India toposheets

    6-meter spatial resolution IRS LISS-III + PAN

    is used to give broad and qualitative ideas for

    landslide risk Management.

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    Further needs :

    For effective zonation and management, Contourinterval of 2 meters is necessary and spatial

    resolution of 1 meter is needed.

    Though optical resolution data is increasing day-by-day (Quick bird, Cartosat, etc.), getting vertical

    resolution is still challenging in passive remote

    sensing.

    Interferometric techniques can be effectively

    employed to improve the existing Digital Elevation

    Model to monitor minor changes in terrain.

    The RISAT mission of government of India,

    RADARSAT of Canada, ENVISAT of ESA

    (European Space Agency) will provide necessaryspatial data for such analysis.

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    Methodology

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    The study has demonstrated the application of

    various remote sensing techniques in order to obtain

    the model for the effective mitigation.

    We can classify the hazard zones into very low, low,

    moderate, high and very high.

    This highly depends on the slope of the place. In this

    paper, we have analyzed the usage of the

    conventional methods such as photogrammetryalong with the modern techniques of remote sensing

    using satellite images.

    We also discussed the use of advanced technology,which has been planned to be used in the future such

    as space borne SAR and high-resolution optical data.

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    Earthquakes

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    There are around 500,000 earthquakes each year.

    About 100,000 of these can actually be felt as Minor earthquakesoccuring nearly all around the world in places like California, Alaska,

    Guatemala, Chile, Peru, Indonesia, Iran, Pakistan, Portugal, Turkey, New

    Zealand, Greece, Italy, and Japan.

    Larger earthquakes occur less frequently.

    e.g. In a particular time period roughly ten times as

    many earthquakes larger than magnitude 4 occur

    than earthquakes larger than magnitude 5.

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    An earthquake is the result of a sudden release of energy in the

    Earth's crust that creates seismic waves. by rupture of geologicalfaults, volcanic activity, landslides, mine blasts, and nuclear tests.

    The frequency, type and size of earthquakes experienced over a

    period of time is referred as seismicity or seismic activity of an

    area .

    When a large earthquake occurs at seabed it

    causes tsunami.

    The earthquakes can also trigger landslides and

    volcanic activity.

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    An earthquake's point of initial rupture is called its focus or hypocenter.

    The point at ground level directly above hypocenter is called epicenter.

    Earthquakes are measured with a seismometer

    Records of a seismometer are known as a seismograph.

    The magnitude of an earthquake is reported withmagnitude 3 : imperceptible lower earthquakes and

    magnitude 7 : causing serious damage over large areas.

    Intensity of shaking is measured on the modifiedMercalli scale.

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    Shaking and ground rupture

    Severe damage to buildings and other structures.

    Landslides and avalanches

    Slope instability leading to landslides.

    Fires

    Damaging electrical power or gas lines.

    Soil liquefaction

    Saturated granular material like sand temporarilyloses its strength and transforms from a solid toliquid because of shaking.

    Tsunami & Floods

    Long-wavelength, long-period sea waves produced

    by the sudden movement of sea water. Overflow oflarge amount of water reaches land causing flood.

    Human impacts

    Earthquakes may lead to disease, lack of basic

    necessities causing loss of life.

    Impacts ofearthquakes

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    Allahabad has now got the status of Metro-city

    with a population of over 10 lakhs.

    The volume of information needed for naturaldisasters far exceeds the capacity to deal with

    them manually and thus there is a need for a GIS

    based Decision Support System (DSS).

    A GIS based DSS for disaster management can be

    developed consisting of three modules

    1. integrated geo-database module;

    2. module consisting of disaster management

    models;

    3. user-interface module.

    CASE STUDY

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    The various stages involved in the preparation of GIS

    based DSS for disaster management for Allahabad

    include

    development of an integrated geo-database

    consisting of various thematic maps,

    demographic data, socio-economic data

    infrastructural facilities at village level under GIS

    environment.

    The information required for decision making during any disaster is

    diverse, spatial and temporal in nature.

    Remote sensing technology can be advantageously used for detailed near

    real-time monitoring, damage assessment and long-term relief

    management.

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    The various thematic maps include

    road network map,

    water supply network map,Fire control office map, urban sprawl map,

    drainage map and

    land use map

    The various utilities like

    education facilities,

    medical facilities, electricity, etc.

    and other information from Census 2001available for the district have been

    represented spatially using GIS.

    A menu driven Graphical User Interface (GUI) has

    also been developed so that the GIS based DSS for

    disaster management can be used by administrators

    who may not have in-depth knowledge of working inGIS.

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    By navigating through GUI, planners with basic

    knowledge of computers can work on this systemand this is expected to increase the acceptability

    of the present system among planners and

    decision-makers.

    The ArcGIS software and Erdas Imagine

    software have been used for carrying out the

    work in the present study.

    The GIS based DSS for disaster management

    proposed for Allahabad district may be adopted

    for further implementation by districtadministrators.

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    Tsunami

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    A tsunami is a series of water waves caused

    by the displacement of a large volume of abody of water, usually an ocean, but can occur

    in large lakes.

    Due to the immense volumes of water and

    energy involved, tsunamis can devastate

    coastal regions.

    Earthquakes, volcanic eruptions and other

    underwater explosions, landslides and other

    mass movements, meteorite ocean impacts and

    other disturbances above or below water can

    generate a tsunami.

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    Tsunami in the deep ocean has a wavelength ofabout 200 km traveling at about 800 km/h

    Due to long wavelength the wave oscillation at anygiven point takes 20 or 30 min to complete a cycleand has an amplitude of only about 1 m.

    This makes tsunamis difficult to detect over deepwater.

    Ships rarely notice the passage of tsunami wave.

    As the tsunami approaches the coast and the watersbecome shallow, wave shoaling compresses the

    wave and its velocity slows below 80 km/h.

    Its wavelength diminishes to less than 20 km and itsamplitude grows enormously, producing a distinctly

    visible wave.

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    Since the wave still has a long wavelength, thetsunami may take minutes to reach full height.

    When the tsunami's wave peak reaches the shore,the resulting temporary rise in sea level is termed'run up'.

    Run up is measured in metres above a reference sealevel.

    A large tsunami may feature multiple wavesarriving over a period of hours, with significanttime between the wave crests.

    About 80% of tsunamis occur in the Pacific Ocean,but are possible wherever there are large bodies ofwater, including lakes. They are caused byearthquakes, landslides, volcanic explosions, andbolides.

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    CASE STUDY

    The Nicobar Islands was one of the several islandswhich were severally damaged by the Great

    Tsunami on 26 December 2004.

    The origin of tsunami was series on underseaearthquakes, the largest being measured 9.3 M.

    The direct consequence of Great Earthquake, that

    ruptured the sea floor up to 100 km in places, was

    displacement of a huge volume of water that

    translated into tsunami of colossal proportion.

    The great tsunami event caused the devastation and

    a loss of life in south and south East Asia including

    the Andaman and Nicobar Islands.

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    Materials Used:

    Software :

    ArcView,

    ERDAS IMAGINE etc.

    Data :

    Survey of India (SOI) topographic Maps,

    Satellite imageries- IRS-IC LISS III (24 Feb. 1999),

    IRS-P6 (16 Feb. 2005 & 01 Feb. 2005),

    GPS-Garmin etrex & Garmin vista,

    High precision Oregon scientific Altimeter

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    Methodology:

    The digital analysis of the P6 digital satellite data wasdone by using the image processing software.

    Image enhancement techniques with brightness

    contrast and break points is used in delineatinginundation of tsunami water on islands by acquiring

    actual reflectance values from satellite data.

    The coastal mapping was made by on screendigitization

    The wave height, run up elevation, coastal erosion

    delineation and impact of damages was made by using

    the DEM/DTM.

    The field data of the various locations that were

    collected with the help of handheld GPS to verify the

    tsunami wave height as well as the distance from sea.

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    The tsunami wave height are measured based on

    the satellite imageries and the DEM generatedusing SOI contour and 1m SRTM data with a

    vertical resolution of +/-1m.

    Inundation distances in the island were so large thatthey were most easily measured from satellite

    images, where sediment deposited by the waves

    and vegetation killed by the saltwater are clearly

    visible

    The flow direction of the tsunami water was from

    all sides of the island

    The pre and post tsunami images have been studied

    for the observation of subsidence.

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    In order to assess the damages the pre and post

    tsunami satellite data are critically analysed in the

    GIS domain.

    For this a base map is generated from the SOI

    topographic map of the region.

    Based on this map the coastal area of the two

    scenes (pre and post) have been classified and

    vectorised using the ERDAS vector and ArcView

    software.Overlay analysis of these classified vector data is

    performed to find out the changes in the coastal

    corridor of the Island and ultimate the assessment

    of the damages is done form this analysis.

    The application of High resolution Remote Sensing

    data and GIS techniques are used to assess thetsunami hazards in the Car Nicobar Island.

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    THANK YOU

    sources : www.wikipedia.comcase studies from :www.gisdevelopment.com