1. REPORT ON FIELD DATA COLLECTIONFOR TSUNAMI RISK ASSESSMENTHAMBANTOTA TOWNSRI LANKAAPRIL 2013Enhancing Coastal Hazard Early Warning and Response:Tools and Institutional Strengthening

2. CONTENTSCHAPTER PAGE1. INTRODUCTION 11.1 Pilot site: Hambantota town 41.2 Key activities 41.3 Standard accuracy and data requirements for tsunami risk assessment 52. BATHYMETRIC SURVEY 122.1 Methodology 122.1.1 Sonar Survey 122.1.2 Tidal Survey 182.2 Data and Equipment 192.2.1 Data 202.2.2 Equipment 212.3 Results and Discussion 232.3.1 Sonar Survey 232.3.2 Tidal Survey 242.4 Problems Encountered and Recommendations 272.4.1 Sonar Survey 273. TOPOGRAPHIC SURVEY 293.1 Methodology 293.1.1 Base Station Preparation 293.1.2 Calculation of Undulation Value (Geoid Height) 293.1.3 Ground Control Point using Static GPS Observation 303.1.4 Land Survey using Real-Time Kinematic Observation 333.1.5 Accuracy Assessment 353.2 Data and Equipment 353.3 Results and Discussion 363.3.1 Undulation value calculation (Geoid Height) 363.3.2 Ground Control Points using Static GPS Observation 373.3.3 Land Elevation using Real-Time Kinematic Observation 383.4 Problems Encountered and Recommendations 404. SHORELINE DELINEATION 434.1 Methodology 434.2 Data and Equipment 434.3 Results and Discussion 444.4 Problems Encountered and Recommendations 45

3. CONTENTSCHAPTER PAGE5. RIVER SURVEY 475.1 Methodology 475.1.1 Sonar Survey 475.1.2 Pole Survey 475.1.3 RTK GPS 485.2 Data and Equipment 485.3 Results and Discussion 495.4 Problems encountered and recommendations 496. EXPOSURE SURVEY 516.1 Tsunami vulnerability and loss estimation 516.1.1 Selection of tsunami fragility curves for Philippines 516.1.2 Methodology 556.1.3 Data and Equipment 566.1.4 Data gathering for support tsunami vulnerability and loss estimation 596.1.5 Problems encountered and recommendations 666.2 Assessment of peoples ability to evacuate 686.2.1 Methodology 696.2.2 Data and Equipment 716.2.3 Data gathering for support tsunami evacuation planning 716.2.4 Problems encountered and recommendations 78REFERENCES 80ANNEX1: Contact list 83ANNEX2: Information Collected from Hambantota Disaster Management Center 86

4. 1CHAPTER 1INTRODUCTIONFor countries with inadequate resources for disaster preparedness, as is the case for mostcountries in the Indian Ocean and Southeast Asian region, identification of high-risk areas iscrucial for prioritizing resource allocation. A tsunami risk assessment would revealcommunities that would be highly vulnerable to the hazard. This, however, entails detailedinundation modelling for a range of scenarios from most important source zones, and requirescomputational capability and good-quality near-shore bathymetric, topographic, and exposuredatasets, which most countries in the region lack. Investment of scarce resources also favoursventures that are effective, efficient, and have longer-lasting impact. In this regard,development of tsunami early warning systems have taken a multi-hazard approach, and earlywarning integration into broader disaster risk reduction and development, and regionalresource sharing are among the sustainability strategies.This project entitled Enhancing coastal hazard early warning and response: tools andinstitutional strengthening is proposed to build tsunami risk assessment capacities inMyanmar, Philippines, Sri Lanka, and Thailand, building on UNESCO/IOC efforts in theIndian Ocean region and taking advantage of low-cost methodologies developed at RIMES;and develop a regional data sharing policy for RIMES Member States and collaboratingcountries, for improving data availability for warning purposes. RIMES shall build tsunamirisk assessment capacity through training, demonstration of tool application, and transfer ofequipment, software, systems, and training manuals to the countries to facilitatereplication/upscaling. These tools are: a) low-cost near-shore bathymetric, topographic, andexposure survey methodologies, and data processing tool to generate high-resolution datarequired for tsunami risk assessment; and b) computer-based tsunami risk assessment andevacuation mapping.Target groups for this project are:a) Technical government agencies involved in the generation of near-shorebathymetric and topographic maps and exposure data: i) Myanmar MyanmarNational Hydrographic Center and Department of Land Survey; ii) Philippines National Mapping and Resource Information Authority (NAMRIA); and iii) SriLanka National Aquatic Resources Research and Development Agency (NARA)and the Survey Departmentb) Technical agencies involved in tsunami risk assessment: i) Myanmar Departmentof Meteorology and Hydrology (DMH), ii) Philippines Philippine Institute forVolcanology and Seismology (PHIVOLCS), iii) Sri Lanka Coast ConservationDepartment, and iv) Department of Disaster Prevention and Mitigation (DDPM) Thailandc) Research institutions/ universities involved in risk assessmentd) Users of risk assessment products: i) Myanmar DMH and GeneralAdministration Department/ Relief and Resettlement Department, ii) Philippines PHIVOLCS and National Disaster Risk Reduction and Management Council(NDRRMC), iii) Sri Lanka Department of Meteorology (DoM) and DisasterManagement Center (DMC), and iv) Department of Disaster Prevention andMitigation (DDPM) Thailand

5. 2e) Local authorities and other disaster management organizations at the pilot sites,such as the National Red Cross Society, NGOs, and CBOsf) Members of the RIMES Council, consisting of National Meteorological andHydrological Services (NMHSs) and/or technical agencies mandated to generateand provide early warningTable 1.1 Project activities, timeline and result indicators (Revised in May 2013)Project Schedule 2012 2013 2014J A S O N D J F M A M J J A S O N D J F M A M J1. Project initiation1.1 Project initiation meeting MM PH SL2. Capacity building in tsunami risk assessment2.1 Training on near-shorefield surveysPH SLMM2.2 Training on survey dataprocessing and DEMgenerationPH SL MM2.3 Training on tsunami riskassessment and evacuationmappingPH SL MM3. Improvement of response capabilities3.1 Evacuation map testingand exercise, manualadaptationPH SL MM4. Regional resource sharing policy and mechanism development4.1 Resource sharing policyand mechanism developmentPH: (Philippines), MM: (Myanmar) and SL: (Sri Lanka)

6. 3Table 1.2 Proposed involvements by project partnersTraining Location DaysLocalStaffsTargetAdditionalparticipants*Tool, equipment fortransfer to targetsNear-shorebathymetricsurveyOn-site 11 6 NARA/CCD/DoMSurvey methodologyEquipment: depthsonar, laptopcomputer, low-costtide gaugeNear-shoretopographicsurveyOn-site 10 5SurveyDepartment/CCD/DoMSurvey methodologyEquipment: handheldGPS, leveling scopeExposuresurvey On-site 10 4SurveyDepartment/CCD/Local government/DoMSurvey methodologySurvey dataprocessing andDEMgenerationRIMES 30 6 NARA/SurveyDepartment/CCDDEM generationmethodologyImagery processingsoftwareMapping softwareTsunami riskassessmentusing INSPIRENational capital 5 20 CCD/DoM/NARAResearchinstitutions/universitiesINSPIRE prototypeINSPIREproductinterpretationand applicationNational capital 2 20 CCD/DoM/DMCEvacuationmapping usingESCAPENational capital 5 20 DMC ESCAPE prototypeEvacuationmap testingand exerciseOn-site 1 30 DMC/DoMLocal authoritiesand other disastermanagementorganizations at thesitesTsunami exercisemanualRisk mapsEvacuation maps* May be adjusted as required by partner agenciesThis report, as part of the project, presents details of field data collection and demonstrationof a low-cost methodology to generate geographic information needed for tsunami inundationmodeling , tsunami risk assessment and evacuation planning for the pilot site in Sri Lanka.

7. 41.1 Pilot site: Hambantota townDuring the project inception meeting on 22 November 2012, Hambantota is selected as thepilot site due to the appropriated scale for survey. In addition, the bay condition of city area inHambantota is the suitable condition for enhancing tsunami early warning and responsecapability.Figure 1.1 Pilot site at Hambantota, Sri Lanka1.2 Key activitiesData collection and technology transfer on survey methodology involved key technical anddisaster management stakeholders who participated to near-shore bathymetric, topographic,and exposure surveys: National Aquatic Resources Research and Development Agency(NARA), Survey Department, Coast Conservation Department, Department of Meteorologyand Disaster Management Center in Hambantota.The activities during 1-11 April 2013 trip were included:1) Project launch meeting at the Government Office Complex in Hambantota for projectintroduction and project implementation arrangement with local authorities2) Bathymetric survey3) Topographic survey4) Exposure survey

8. 5Data sourceBathymetric data1. Hydrographic chart Approaches to Hambantota 1:30,000 with Hambantota Harbor 1:10,000 NARA2. Predicted tide table NARA3. Tidal benchmarks Kirinda tide gauge (location and elevation) NARATopographic data1. Aerial Photographs Hambantota Survey Dept.2. Benchmarks GPS benchmarks in Hambantota and vicinity Survey Dept.Level benchmarks in Hambantota and vicinity Survey Dept.3. Topographic map Hambantota Town scale 1:5,000 Survey Dept.Terrain map scale 1: 10,000 (8820,8825,8916, 8912) Survey Dept.Other data1. Land use map LU map scale 1:10,000 (8820,8825,8916, 8912) Survey Dept.2. Transportaton map Transportaton map scale 1:10,000 (8820,8825,8916, 8912) Survey Dept.Data Type DescriptionTable 1.3 List of data received from Survey Department and NARATable 1.4 Survey Schedule and ActivitiesThu Fri Sat Sun Mon Tue Wed Thu Fri Sat Sun Mon Tue Wed Thu Fri Sat Sun28 29 30 31 1 2 3 4 5 6 7 8 9 10 11 12 13 141 Comparison of portable tide gauge with NARA tide gauge at Kirinda2 Establish tidal benchmark and installation temporaly tide gauge3 Oreintation for bathymetric survey4 Depth sounding (Fishfinder)1 Oreintation for about GPS-PPK for land elevation survey2 Field survey3 Data processing and report preparation4 Additional survey and data correctionExposure Survey1 Collect available data at local government offices2 GPS camera shooting for building surveyWorking daySpare dayApril AprilBathymetric SurveyTopographic SurveyActivityProject launching meeting (Morning) in HambantotaMarchSurvey preparation meeting in ColomboTravel from Colombo to Hambantota1.3 Standard accuracy data requirements for tsunami risk assessmentStandard accuracy data are geographic data that are publicly available for free or for aminimum cost. Typically, higher accuracy data such as large scale topographic maps andnautical charts, if available, should be prioritized. Otherwise, lower accuracy data such asASTER GDEM for topographic DEM, GEBCO-08 for bathymetric DEM and Google Earthfor building properties estimation shall be used. These data sources were selected as thebaseline for standard accuracy data since they are available for all parts of the world and havethe highest spatial resolution among the freely available data in the internet. In addition,GEBCO-08, with a spatial resolution of 30 seconds, is recommended by the IOC which isconsidered as the authority for establishing standards for tsunami modeling. The followingtable shows the accuracy of each data source.

9. 6Table 1.5 Standard accuracy dataData Type Spatial resolution Accuracy Data sourceTopographic DEM 30 m x 30 m X,Y: 20m / Z: 30 m ASTER G DEMBathymetric DEM 30 sec x 30 sec(900 m x 900 m)N/S GEBCO-08Building location 1 m X,Y: 5 m Google EarthBuilding properties N/S N/S N/SN/S: Not Specified1.3.1 Bathymetric DEMBathymetry can be defined as the seafloor topography relative to a known vertical datum suchas the Mean Sea Level (MSL) for coastal area management or the Mean Lower Low Water(MLLW) for navigation. Bathymetric maps represent the seafloor depth as a function ofgeographic coordinates in the same way the topographic maps represent the elevation of theearths surface at different geographic points. Usually, seafloor terrain is shown as depthcontours (isobaths) and spot depths on bathymetric maps.A digital elevation model (DEM) is a digital representation of the surface of the earth.Although it can be represented as triangulated irregular networks (TIN), it is more oftenrepresented as a raster or grid of squares for ease in model calculations. Land DEMs aretypically acquired by remote sensing satellites but bathymetric DEMs are mostly generated byinterpolating ship-mounted depth soundings. Available data sources that can provide standardaccuracy bathymetric DEM without the need for field survey include interpolated soundingdata from bathymetric maps and DEMs that can be downloaded freely from the internet suchas ETOPO and GEBCO DEMs.Depending on the scale, accuracy of bathymetric maps or nautical charts varies from the highaccuracy large scale maps (1:50,000) to the low accuracy small scale maps (1:200,000).Compared to the ETOPO and GEBCO DEMs, most bathymetric maps can provide higheraccuracy. However, unlike the two DEMs which can cover almost all areas in the world,bathymetric maps may be not be available or may have limited extent for the areas of interest.Up until 2009, the ETOPO1 DEM or the Earth TOPOgraphy 1, developed by NOAA NGDCwith a 1 arcminute or approximately 2 km spatial resolution was the most common source ofbathymetric DEM. ETOPO1 is the latest version of the Global Relief Models developed byNOAA NGDC in August 2008. It was developed to upgrade the resolution and accuracy ofthe previous version ETOPO2v, a 2 arcminute global relief model and designed to aid intsunami forecasting, modeling and warning as well as ocean modeling and earth visualization.It is a one minute grid integrated from different topographic and bathymetric datasets such asshoreline, bathymetry, topography, integrated bathymetry-topography and bedrock all overthe world that are shifted to a common horizontal and vertical datum, the WGS84 and the sealevel respectively.Table 1.6 ETOPO1 DEM characteristicsVersions Ice Surface, BedrockCoverage Area Global: -180oto 180o; -90oto 90oPosting interval(spatial resolution)1 arcminuteGeographic coordinates Geographic latitude and longitude( WGS84)Vertical Datum Sea LevelVertical Units MetersData Format Multiple: netCDF, g98, binary float, tiff, xyzSource: Amante & Eakins (2009).

10. 7In January 2009, the GEBCO-08 Grid or the General Bathymetric Chart of the Oceans DEMwith a 30 arcsecond spatial resolution was released by the British Oceanographic Data Center(BODC). This is generated by quality-controlled ship depth soundings with interpolationbetween sounding points guided by satellite-derived gravity data. Although it is currently adevelopment product, it undergoes periodic updates to reduce errors in the dataset. GEBCOsaim is to provide the most authoritative publicly-available bathymetry of the worlds oceans.It operates under the joint auspices of the Intergovernmental Oceanographic Commission(IOC) (of UNESCO) and the International Hydrographic Organization (IHO).The GEBCO-08 was developed to improve the resolution and accuracy of the GEBCO OneMinute Grid released in 2003. As with the ETOPO1 bathymetric DEM, the accuracy of theGEBCO-08 DEM is only as good as the quality of the sonar equipments and bathymetricsurveys conducted in the respective countries. The bathymetric data are generated from theintegration of sounding data, bathymetric contour maps, predicted depth data based onversion V16.1 of the Sandwell and Samith gravity anomaly from Geosat and ERS1 satellitealtimeter and the Smith and Sandwell global topographic grid, as well as SRTM, GTOPO30and the Geoscience Laser Altimeter System (GLAS) instrument on the Ice, Cloud and landElevation Satellite (ICESat) laser altimetry digital elevation model for topographic data. TheGEBCO-08 comes with a source identifier (SID) grid that identifies which grid cells in theGEBCO-08 Grid are based on bathymetric soundings or predicted depths. The values in theGEBCO-08 SID Grid are as follows:0 data is interpolated with the help of satellite-derived gravity data1 data has been constrained by bathymetric sounding data during the griddingprocess2 value is taken from version 2.23 of the International Bathymetric Chart of theArctic Ocean (IBCAO)3 value for land, in positive valueTable 1.7 GEBCO-08 DEM characteristicsCoverage GlobalPosting interval(spatial resolution)30 arcsecond (900 m x 900 m)Geographic coordinates Geographic latitude and longitude( WGS84)Data format netCDF (signed 16 bits), ASCIISpecial DN values Positive for land body, and negative for sea water bodyThe NOAA Center for Tsunami Research is an organization that provides integratedbathymetric and topographic DEMs for the United States coastal areas through the NOAANational Geophysical Data Center. For the Indian Ocean and South East Asia region, RIMESis currently initiating a move to generate updated and accurate local bathymetric andtopographic DEMs for the region. Since organizations operate differently, there is a need tofollow the same standards when generating the datasets. In order to settle issues involvingdifferences in standards, an international organization, the Intergovernmental OceanographicCommission (IOC), was given the authority to establish the standards for tsunami modeling.In accordance with Yeh (IOC, 2001), the Scientific Committee on Oceanic Research of theIOC (SCOR-IOC) has set some scientific requirements for spatial resolution for tsunamimodeling. In addition, it has emphasized the need to refer both the topographic andbathymetric DEMs to the same datum to ensure accurate elevation data along the coast. Table1.5 shows the tsunami requirements set by these three organizations for comparison.

11. 8Table 1.8 IOC Scientific requirements for tsunami modelsArea IOC NOAA RIMESHorizontal Resolution (m) 18Flow depth (m)Figure 6.5 Damage curve for solid building

58. 550 (No damage)1 (Rm)2 (Rh)3 (Rc)2.1 to 3.7> 3.7 mFlow depth (m) Mean damage level00.1 to 2.0Damage level curve - all buildings01230 1 2 3 4 5 6 7 8 9 10Flow depth (m)WeightmeandamagelevelFigure 6.6 Damage curve for all buildings6.1.2 MethodologyFor the vulnerability and loss estimation, building inventory is the main dataset whichprovides information about location and properties of each building e.g. building constructiontype, building usage and number of resident. Building footprint can be captures from highresolution satellite images or aerial photographs while the building properties are mainlycollected from field survey and combined with the existing data from national and localgovernment agencies.Under the current project, location and properties of critical facilities and public buildings arecollected one by one during site visit. For the ordinary buildings in the town, cameras withGPS receiver mounted on the survey vehicle is selected to record the building image along thesurvey route. While traveling through road network in the area, building images with itsgeographical coordinate are captured. Building construction type and building usage will bevisually post-processed from the VDO images in the office. Classification of building type inthe area is based on the selected fragility curves as presented in section 6.1.1.For the buildings located far from the road networks, they may not be captured by VDOcamera. However, building construction type can be estimated from the visual roof shapeinterpretation from satellite image while building usage can be estimated from theneighboring buildings and land use type where the analyzed building is located. Theestimation technique assists in completing the database gathered during field surveys, whichare hardly satisfactory because of limitations in times as well as in economic and humanresources.Population distribution data is collected from the local government office e.g. statistics andcensus data. Number of resort and hotel rooms are also collected for the tourist areas toestimate number of tourist especially during high season. Table 6.4 shows the list of the datacollected for the vulnerability and loss estimation for Hambantota.

59. 56Table 6.2 List of collected data for tsunami vulnerability and loss estimationData Type Data Source Analysis Details1. Building Footprint Building footprint layer fromSurvey Department Digitizing from Google earth Roof shape Building location2. BuildingConstruction Type Field visit Analyze from VDO and linked tobuilding footprint ) Roof shape interpretation Type A: Non-solidbuilding Type B: Solidbuilding3. Building Usage Field survey Analyze from VDO and linked tobuilding footprint Land use map interpretation Estimate from neighboringbuildings Residential Commercial Industrial Agriculture Religion Government Education Tourist Supply NGOs4.Populationdistribution Census data from Statisticdivision(to be linked to buildingfootprint) Resident interview at the criticalbuildings Estimated populationdistribution in eachhousehold/functionbuilding5. Touristdistribution Interview the hotel staffs Google earth and Google map forhotel location and number ofroom-assumed 2 pax/room (ifhotel website is available )(to be linked to building footprint) Estimated touristnumber distribution ineach resort/ hotelbuilding6.1.3 Data and Equipmenta) Survey of critical facilities and public buildingsGeographical location and building properties for critical facilities and public buildings werecollected during the site visit by handheld GPS and interviewing of the residents using thebuilding survey form as presented in the next page. Experiences of tsunami inundation depthand loss/damage from Indian Ocean tsunami in 2004 were also collected and recorded as theremarks.

60. 57Building Usage (HAZUS Occupancy) :ResidentialRES 1: Single Family DwellingRES 2: Mobile HomeRES 3: Multi Family DwellingRES 4: Temporary LodgingRES 5: Institutional DormitoryRES:6 Nursing HomeCommercialCOM 1: Retail TradeCOM 2: Wholesale TradeCOM 3: Personal and Repair ServicesCOM 4: Professional/Technical/Business ServicesCOM 5: BanksCOM 6: HospitalCOM 7: Medical Office/ ClinicCOM 8: Entertainment and RecreationCOM 9: TheatersCOM 10: ParkingIndustrialIND 1: HeavyIND 2: LightIND 3: Food/Drugs/ChemicalsIND 4: Metals/Minerals ProcessingIND 5: High TechnologyIND 6: ConstructionAgricultureAGR 1: AgricultureReligionREL 1: Church/Membership OrganizationGovernmentGOV 1: General ServicesGOV 2: Emergency ResponseEducationEDU 1: Schools/LibrariesEDU 2: Colleges/UniversitiesBuilding survey form for tsunami risk assessment in Sri LankaDate:__________________ Time:______________ Name of surveyor:__________________________Building ID:________________________________ Village Name: _______________________________Building Name: GPS Coordinate:____________________ N____________________ ENo. of floor: No. of resident:Day time ___________Night time ___________Max. Capacity _________(in case of potential shelter)BuildingConstruction Type:Type A Non Solid building : brick/block-built or wooden, 1-2 floorsType B Solid Building: RC or steel, >=2 floorsBuilding Usage (Additional):TouristTOU 1: Hotel, Resort, BangalowSupplySUP 1: Public utiliitesNon-Government OrganizationNGO 1: Office of Non-Governmental Organization

61. 58Figure 6.7 Collection of critical facilities, public buildings using building survey formb) Building image capture by VDO cameraVDO camera with GPS receiverTwo VDO cameras with GPS receiver were mounted on the survey vehicle. One each canrecord the building image on right and left side of the road. Traveling speed through roadnetwork in the area is limited to about 30 km/h. Camera should be properly mounted with theappropriated angle at from horizontal line, therefore all building stories can be captured.Figure 6.8 VDO camera with GPS receiver mounted on the survey vehicleHandheld GPS and road network mapHandheld GPS is used to navigate and check location while road network map was used tonavigate the survey route and record the survey track in each survey day.

62. 59Figure 6.9 Handheld GPS for navigation and travel route record on road network mapTable 6.3 Summary of data and equipment used for exposure survey supported loss estimationActivity (Duration) Data Used Equipment Used Personnela) Survey of criticalfacilities and publicbuildingsb) Building imagecapture by VDO cameraSurvey formRoad network mapHandheld GPSDigital cameraSurvey VehicleVDO cameraHandheld GPSLocal guideRecorderDriverLocal guideRecorder6.1.4 Data gathering for support tsunami vulnerability and loss estimationAdministration boundaryGIS layer of Grama Niladari (GN) boundary of Hambantota district were collected fromSurvey Department office in Hambantota. Figure shows the GN boundary (blue line) andproject area in Hambantota town (red frame) located in Hambantota DS Division, covering byfour (4) GN Division namely, Siribopura, Samodagama, Hambantota East and HambantotaWest.Figure 6.10 GN boundary in Hambantota District and survey area (Area in shaded rectangle)in Hambantota townBuilding footprintBuilding footprint for Hambantota is collected and extracted from Hambantota Town mapscale 1:5,000 from Survey Department of Sri Lanka. This building footprint will be validated

63. 60and updated by comparing to high resolution satellite images from Google earth captured inJuly 2012.Figure 6.11 Building footprint (location and roof shape) used Google earth as the base mapCritical facilities and public buildingsData of sectional damage and possible tsunami affected schools, hotels and designatedshelters were collected from Hambantota Disaster Management Center to guide for field visit.Location of the critical facilities and public buildings are plotted in Fig.6.12. The properties ofbuildings are classified and presented by Fig. 6.13, 6.14 and 6.15 according to theconstruction type, building usage and tsunami inundation records respectively. The detailedbuilding information is described in Table 6.4.Figure 6.12 Location of surveyed critical facilities and public buildings(Point IDs are linked to building ID in Table)

64. 61ConstructionType!( A!( BUsage#* COMn EDU: GOV!. NGO^_ SUPG REL"J TOUFigure 6.13 Critical facilities and public buildings classified by building construction type(A: non-solid building and B: solid building)Figure 6.14 Critical facilities and public buildings classified by building usage

65. 62Table 6.4 Survey information for critical facilities and public buildingsPlace name Long LatNo. ofFloorsNo. ofBldg.ResidentDaytimeResidentNighttimeCapacityBldg.typeBldg.usageGN NameBld.IDRemarksAl Masjidun NoorJumma Mosque81.1234 6.1415 2 1 650 - B REL.1 Siribopura 1DMC Evacuation Centre, Under Construction, Already finished 1stFloor.Peacock BeachHotel81.1314 6.1338 4 1 248 248 298 B TOU.1HambantotaEast2Tsunami affected. Inundation depth was about 17 FeetJadewin Restaurant 81.1308 6.1356 1 1 36 36 150 A COM.8HambantotaEast3 Tsunami affected. Inundation depth was about 10 FeetSurvey Department District SurveyOffice 81.1278 6.13301 4 18 - 22 A GOV.1 HambantotaEast4 Tsunami affected. Inundation depth was about 6 FeetIqra Primary School 81.1250 6.12832 2574 - 574BEDU.1HambantotaWest5Completely Damaged. Inundation depth was about 10 feet.Capacity more than 1,000 peoples during emergency1 2 AZahira College 81.1247 6.12643 4626 - 626BEDU.1HambantotaWest6 Not Effected by tsunami1 1 ASt.Merys College 81.1233 6.12833 11172 - 1172BEDU.1HambantotaWest7 Tsunami affected. Inundation depth was about 10 Feet1 26 ADistrict HospitalHambantota81.1225 6.12694 12200 891 2200BGOV.1HambantotaWest8Not affected by tsunami. Last Tsunami in 2004, this hospital provided medicalservices to 10,000 peoples3 1 B2 1 B1 8 AWater Tank81.1232 6.1251 1 1 n/a n/a n/aB SUP.1HambantotaWest11 Water supply & Drainage Board. 650m3/per dayElectricity Board-Sub Station81.1231 6.1249 1 1 12 2 12 A SUP.1HambantotaWest12No Tsunami affected. There are 180 Transformers. One Transformer supplies 100houses. No Generators. In case of emergency they can be requested by Ambilipitiya.Provide service 24 hours.Hambantota ArabicCollege 81.1226 6.1249 2 1 100 n/a 1000 BREL.1HambantotaWest13Mosque. Not affected by tsunami. Potential Evacuation Shelter

66. 63Police Station 81.1255 6.125721 100 60 100 B GOV.1HambantotaEast14 DMC Evacuation Centre with Early Warning Tower1 3Main Bus stand81.1258 6.125721 800 200 1000B GOV.1HambantotaEast15Completely Damaged. Inundation depth was about 12 feetTelecom Office-Hambantota 81.1267 6.123731 55 49 67B COM.4HambantotaEast 16 Tsunami affected .Inundation depth was about 10 feetMaha NagaMandiraya 81.1277 6.122811 n/a n/a 1500AGOV.2HambantotaEast 17 Not affected by tsunami. DMC Evacuation Centre.Ceylon FisheryHarbour 81.1287 6.123521 32 2 32B GOV1HambantotaEast18 Tsunami affected. This building is re-constructed.Fishery CommunityCenter 81.1287 6.123512 100 n/a 100Chamee GuestHouse81.1214 6.12422 16 6 6BTOU.1HambantotaWest19 Not affected by tsunami1 2 ANimbaAramaya(temple)81.1208 6.12562 215 15 15BREL.1HambantotaWest201-2stories (under construction), Evacuation center, no tsunami affected1500 peoples can accommodate with camping facilities16ARecreation Ground 81.1200 6.1263n/a n/a n/a n/a 3000 n/a GOV.1HambantotaWest21 Safety location. Only for camp managementSeetharama Vihara(temple)81.0712 6.11672 17 7 500BREL.1 Sisilasagama 22Evacuation Centre with Tsunami Tower. 1,000 peoples capacity with campmanagement1 3 AOasis Beach Resort 81.0708 6.11192 1 5555 138BTOU.1 Sisilasagama 23 Tsunami affected1 10 20 APallemalala PrimarySchool81.1846 6.26862 1258 - 258BEDU.1 Pallemalala 24 Tsunami affected.1 4 ADevi Rest 81.0806 6.12392 1114 100 114 B NGO.1 Mirijjawila 2530 Rooms. Not affected by tsunami1 3Udamalla MahaVidyalaya 81.1665 6.1685 1 6335 - 335 AEDU.1 Udamalla26Tsunami affectedSamodagamaPrimary School81.1215 6.14051 5298 - 298 A EDU.1 Siribopura 27Not affected by tsunami. There are Water Board Water TankSamren Restaurant 81.1271 6.14813 130 27 30BCOM.8 Siribopura 28 Not affected by tsunami1 2 A

67. 64School of Nursing 81.1109 6.1232 1 1792 86 92 B EDU.2HambantotaWest29 Not Effected by tsunamiGotapabbatha RajaMaha Vihara81.5190 6.11012 12 2 130BREL.1 Ambantota 30 Not Affected. By tsunami. Evacuation Centre with Warning Tower1 3 AP.WeerasingheCeypetro 81.1262 6.1247 1 1 -- - ASUP.1HambantotaEast31 Consumption of fuel per day:(Gov. gas station) Petrol: 2000 L, Diesel:2000 L, Kerosen: 3000LStock of fuel per day:Petrol: 9000 L, Diesel:21000 L, Kerosene: 9000 LVending machinePetrol: 1, Diesel: 2, Kerosene: 1IOC Weldisi Pvt.Ltd 81.1212 6.1246 1 1 -- - ASUP.1HambantotaWest32 Consumption of fuel per day:(Private gas station) Petrol: 1500 L, Diesel:3500 LStock of fuel per day:Petrol: 9000 L, Diesel:21000 LVending machinePetrol: 2, Diesel: 2Ceypetro Sri LankaRed-Cress FillingStation 81.1433 6.1534 1 1 -- - ASUP.1HambantotaEast33 Consumption of fuel per day:(Private gas station) -Stock of fuel per day:Petrol: 1400 L, Diesel:4500 LVending machinePetrol: 3, Diesel: 3

68. 65Figure 6.15 Inundation record status due to Indian Ocean Tsunami event in 2004at critical facilities and public buildingsBuilding images captured by VDO camera with GPS receiverDuring 3-5 April 2013, survey team conducted the survey trip to capture building images inHambantota town. Figure 6.16 presents the survey route in the area of interest. Example ofbuilding image captured by VDO camera is illustrated in Fig.6.17.Figure 6.16 Survey route for building image captureOrange line: trip on 3 Apr 2013, Green line: trip on 4 Apr 2013, andYellow line: trip on 5 Apr 2013Inun_sta!( 0!( 1!( 2No tsunami impactRecorded tsunami impactUnknown

69. 66Figure 6.17 Example of building image and location capturealong the survey route on 5 Apr 2013Population distributionHousehold location with number of resident is not available in Hambantota. Population perGN Division provision in 2012 by Department of Census and Statistics of Sri Lanka wascollected for further analysis and estimating household size. The information was extractedonly for the area covering by pilot site.Table 6.5 Household and census data for Pilot area for each GN DivisionHambantota DS DivisionGN Division HouseholdNo.TotalPopulationGender Age rangeMale Female < 15year15-59year> 59yearHambantota East 221 978 572 451 272 624 82Hambantota West 1757 7280 3548 3732 2016 4504 760Sirobopura 1675 6487 3188 3299 2146 3877 464Samodagama 432 1756 901 855 643 1006 107Source: Department of Census and Statistic of Sri Lanka6.1.5 Problems encounter and recommendationsDevelopment of building inventory Building footprintAfter validating building footprint map 1:5000 scale collected from Survey Department toGoogle earth which is presenting the most updated and freely available satellite image inJuly 2012, there is mismatches of the building location and deviation of building shape insome area. Most probable reason is the temporal difference and rectification method ofbased image used for footprint map generation as illustrated in Fig.6.18. To update thefootprint map and filling the missing buildings, Google earth will be used as the baseimage to adjust and add the missing building in 1:5000 scale footprint map. Adjustmentand digitization can be operated on Google earth for consistency of image rectification.

70. 67Figure 6.18 Mismatch of building location and Google earth Linking number of resident to building footprintSince household location with number of resident is not available for Hambantota town,average household size for each GN division is computed from total population dividingby household number. This average household size is equivalently distributed to allbuildings in this area, except the critical facilities and public buildings where the residentnumber is available from interview during field visit. By this method, the estimatedhousehold size is calculated and presented in Table 6.6. It is observed that the averagehousehold size for all GN division is comparable at approximately 4 person/household.Table 6.6 Average household size for each GN DivisionHambantota DS Division Land use map assisting the identification of building construction type and usageFrom the VDO image, it was observed that in some area, the buildings are covered by thetrees and it is difficult to interpret building construction type and usage as illustrated inFig.6.19. Land use map can be jointly used to identify building type and usage for thebuildings that cannot be capture clearly by VDO camera. Details and large scale land usemap was collected from Survey Department for facilitating the building usage estimation.GN Division HouseholdNo.TotalPopulationAverage household size(person/household)Hambantota East 221 978 4.4Hambantota West 1757 7280 4.1Sirobopura 1675 6487 3.9Samodagama 432 1756 4.1

71. 68Figure 6.19 Image showing buildings covered by trees6.2 Assessment of peoples ability to evacuateAssessment of evacuation ability is the important information for evacuation planning.Evacuation plan should be based on a hazard assessment by analyzing possible hazardscenarios affecting the target area and should develop procedures for safe transfer from theaffected area into safe places. The hazard assessment requires knowledge of probable tsunamisource, probability of occurrence and tsunami characteristics at different places along thecoast. For the case of limited past data exists, numerical model of tsunami inundation canprovide estimates of tsunami inundation profile and minimum time of tsunami arrival.INSPIRE-Tsunami hazard assessment module will be applied to assess the tsunami hazard forthis project.To assess peoples ability to evacuate, the following questions have to be answered forsupport evacuation decision in case of tsunami event:a) Where are the safe places for evacuation?In general, temporary gathering areas or shelters should be located outside tsunami affectedareas at ground elevation higher than 15 m from the mean sea level. Public locations withadequate capacity can be selected as the gathering/assembly points. This evacuation process iscalled horizontal evacuation (horizontally evacuate away from inundated area). However, inthe area that is too far from the horizontal evacuation places, people may not have enoughtime to reach the safe places before tsunami strikes. Vertical evacuation which is the processto move people to higher floor in the buildings may be considered instead. Public facilities,multi-storey buildings, available reserve space for temporary evacuation and goodconstruction quality buildings can be identified as the vertical evacuation buildings. The areaidentified as shelters must be manageable in terms of health and sanitation and necessaryfacilities and infrastructure at adequate number should be in placed (DDPM, 2005).

72. 69b) Where are the potential evacuation routes?To define the best evacuation route from a given point, the safe and fastest path from thatpoint to the safe places has to be searched. The fastest path is not always the shortest path butthe concept of accessibility is calculated on a cost surface of the area. The cost surfaceconsists of a regular two-dimension grid where each cell represents the time required to acrossthe cell. Physical condition of the area influents to the traveling cost e.g. a flat road allowsfaster travel speed (lower cost) than dense vegetation. For this reason, when we compute adistance between two points we consider not only geometric distance but also the cost tomove along a particular path. Therefore, Cost Weight Distance (CWD) is replaced to thegeometric distance. Once the cost of all cells is defined, CWD between two given points canbe calculated for the best or fastest path which could be guided for the potential evacuationroutes. Instead of defining the CWD surface as the distance between starting point and eachcell in the cost surface domain, it is possible to define it as the distance between each cell andthe safe areas which can be more than one. The path with lowest accumulated cost from eachcell to safe place gives the fastest route to the closet evacuation point. Therefore, the escaperoute from every point within the domain can be computed (ADPC, 2007).c) Are the shelter capacities enough to accommodate evacuees?By CWD method, it is possible to define the area influenced by each safe place (subdivisiontaken care by each safe place). Disaster managers can understand if the safe place is bigenough to accommodate the evacuees in subdivision and estimate the necessary supplies forevacuees during the event.d) Are people in the risk area able to reach the safe place within the given of time?Since the safe place can be designated to each subdivision and cost grid is known for theentire area, required evacuation time from any point in the area can be calculated. Disastermanagers can assess whether people have enough time to reach the safe place before tsunamistrikes.6.2.1 MethodologyIn this project, ESCAPE (http://escape.rimes.int), a tool developed at RIMES, is used tosupport evacuation planning. The system provides information on the fastest path and theevacuation direction toward the shelters. Evacuation basins can be determined to partition thearea to several zones which can be accommodated by the designated safe places/shelters. Thecapacity of shelters can be evaluated if the number of people in the risk areas is identified.Evacuation speed and capability considers several factors including topographic condition,land cover, location of critical facilities, and population density, age and gender.A spatial information system is developed for Hambantota town from the dataset collectedfrom the local government agencies and field survey to provide data as listed in Table 6.4 tosupport planning and counter-measure development to ensure effective and safe evacuation ofpeople from threatened location before the tsunami strikes.

73. 70Table 6.7 List of collected data collected for supporting tsunami evacuation planningData Type Data Source Analysis Details1.Land use/Land cover Land use map from Survey Departmentscale 1:10,000 BLTPA: Built up area BRRNA: Barren land CHENA: Chena HOMSA:Homesteads/Garden HYDRA: Waterbody MRSHA: Marsh OTHRA: Other Cultivation PDDYA: Paddy QRRYA: Quarry SCRBA: Scrub land SPRSA: Sparsely used cropland SWMPA: Swamp UNCLA: Unclassified2.Topographic slope To be derived from field survey databy topographic survey team 0% 0-5% 5-15% 15-30% 30-45% >45%3.Road network Transportation network map fromSurvey department scale 1:10,000 Field survey Highway Local road Walk way to safe areas4.Potential safe areas forhorizontal evacuation Field survey by exposure surveyteam Coordinate Occupancy/Capacity5.Potential safe areas forvertical evacuation Field survey by exposure surveyteam Coordinate Capacity6.Critical facilities and suppliesduring emergency Field survey by exposure surveyteam Coordinate Capacity Operation plan7.Population density, age andgender Interview GN division head Census data from Department ofCensus and Statistic of Sri Lanka Total population Age/gender ratio8. Administration boundary forplanning and disastermanagement Hambantota city boundary map fromSurvey department scale 1:10,000 GN division map from SurveyDepartment district survey office GN division boundary Land parcels

74. 716.2.2 Data and EquipmentHandheld GPS and digital cameraHandheld GPS and digital camera are used to record geographical location and photos of thepotential safe places and critical facilities.Figure 6.20 Handheld GPS for recording location and photosof potential safe places and critical facilitiesTable 6.8 Summary of data and equipment used for exposure surveysupported evacuation planningActivity (Duration) Data Used Equipment Used PersonnelSite visit to evacuationshelter, critical facilitiesand supplies duringemergencyLocal map(capture from Googleearth)Building survey formSurvey VehicleDigital cameraHandheld GPSDriverLocal guideRecorder6.2.3 Data gathering for support tsunami evacuation planningLand use map and transportation networkLand use map and transportation network layer (scale 1:10,000) were collected from SurveyDepartment for Hambantota town as shown in Fig.6.21.

75. 72Figure 6.21 Land use map and transportation networkEvacuation shelters, critical facilities and supplies during emergencyEvacuation shelters, critical facilities and supplies during emergency were collected duringfield visit as shown in Table 6.9 and Fig. 6.24. The designated evacuation shelters are theplaces that are already officially identified as the evacuation shelters. The potential evacuationshelters are identified under this project for the places that did not affect from the IndianOcean tsunami in 2004, can be easily accessed by public with available evacuation facilities.

76. 73Table 6.9 Inventory of evacuation shelters, critical facilities and supplies during emergencyLong LatBld.IDCode Place_name PhotoDesignated Evacuation Shelters by DMC81.12339 6.141491 SHLT_1Al Masjidun NoorJumma Mosque81.12545 6.12572 14 SHLT_2 Police Station81.12767 6.12279 17 SHLT_3 Maha NagaMandiraya81.12076 6.12565 20 SHLT_4 NimbaAramaya(temple)

77. 7481.11996 6.12629 21 SHLT_5 Recreation GroundPotential Evacuation Shelters81.12472 6.12639 6 PT_SHLT_01 Zahira College81.12261 6.12490 13 PT_SHLT_02 Hambantota ArabicCollege81.12147 6.14048 27 PT_SHLT_03 SamodagamaPrimary School

78. 75Critical Facilities and Supplies during emergency81.12250 6.12694 8 HOSPITALDistrict Hospital -Hambantota81.12322 6.12508 11 WATER_01Water Tank-Hambantota-West81.12768 6.12210- WATER_02Water Tank-Hambantota-East81.12313 6.12491 12 POWER Electricity Board-Sub Station

79. 7681.12581 6.12569 15 BUS_ST Main Bus stand81.12667 6.12370 16 TELECOM Telecom Office-Hambantota81.12620 6.12469 31 PETRO_1 P.WeerasingheCeypetro(Gov. gas station)81.12117 6.12464 32 PETRO_2IOC WeldisiPvt.Ltd(Private gas station)

80. 77Early Warning Siren81.12545 6.12572 14 SIREN_1 Police Station(1.5 km effectiveradius)Telecom Tower81.11372 6.12530 TT_1 TelecomTower81.12754 6.13328 TT_2 TelecomTower81.12523 6.12990 TT_3 TelecomTower81.13889 6.12527 TT_4 TelecomTowerBuilding and site condition imagesBuilding and site condition images taken during the Tsunami Damage Assessment projectusing very high resolution images in October 2010 by Survey Department and the JointResearch Center (JRC), European Commission were collected to corporately use under thecurrent project. Fig.6.22 presents the location of images of building and site condition.Figure 6.22 Location and example of image taken duringThe Tsunami Damage Assessment project (Source: Survey Department)

81. 786.2.4 Problems encounter and recommendationsPotential evacuation route and safe place near south eastern areaDuring field visit, it has been observed that the south east coast of Hamabantota town are thearea where a number of commercial and business sectors, city bus stand and fish harbor arelocated. Two designate shelters including police station (SHLT_2) and Maha Naga Mandiraya(SHLT_3) are the closet shelters. At police station (SHLT_2), from the interview, there wasno record of tsunami impact during the Indian Ocean tsunami in 2004. However, its locationis just behind bus stand which was recorded tsunami height of 12 feet and severely damage.This shelter should be carefully examined with the detailed land elevation whether it is reallyappropriated and safe for the assembly point and shelter. In addition, the early warning sirenis also located there. Vertical evacuation is not recommended to Hambantota town since thelead time before tsunami arrival is long enough for horizontal evacuation.For the high ground area where Maha Naga Mandiraya (SHLT_3) is located (shading area inFig.6.30), it is the suitable natural high land which is suitable to identify as the assembly pointduring the event sine the overall area can accommodate a number of people . The access roadsare also available to reach this high elevation area since it is the previous DS office complex.During field visit, the survey team found the small walking path which can be used as theshortcut for evacuation to the high ground as shown in the Fig.6.22 and 6.23. However, if thisroute will be used, stair way should be expanded and maintained.Figure 6.22 Stair way connected seaside area to the high ground near fishing harbor

82. 79Figure 6.23 Red line shown the location of stair way which is the shortcut to the high groundFigure 6.24 Map of Evacuation shelters, critical facilities and supplies during emergency

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86. 83ANNEX 1Contact listOffice Contact Details Participant Name , Designation, EmailMinistry of DisasterManagementVidya Mawatha, Colombo-7,Colombo, Sri LankaTel: +94-112-136136Hon.Mahinda AmaraweeraMinisterMrs. S.M. MohamadSecretaryDisaster ManagementCenter(DMC)Vidya Mawatha, Colombo-7,Colombo, Sri LankaTel: +94-112-136136DMC HambantotaNew Building Complex,HambantotaMr. Sugath DisanayakeDirectorTraining and Awareness DivisionMr.S.RanasingheDirectorPreparedness and Planning DivisionMobile: +94-718-314-377Mr.Pradeep KodippiliAssistant directorNational Emergency Operation CentreTel:+94-11-213-6242Mobile:+94-7723-20530Email:pradeepkodippili@gmail.comMr. M.D.N. CoorayAssistant directorPreparedness and Planning DivisionMr.D.NwarathneAssistant directorMr.Thusitha WaidyarathnaAssistant directorEmail:thusitha@dmc.gov.lkMr.Nuwan MadawanarachchiAssistant directorMobile:+94-7739-57906Email:nuwan@dma.gov.lkMr.I.W.R.Indika PushpakumaraAssistant directorNational Emergency Operation CentreEmail:iwrindika@yahoo.comMr.Rohan CooraADPC Project CoordinatorEmail:rohancooray@gmail.com

87. 84Mr.W.A. DharmasiriAdditional District SecretaryTel:+94-47-2220232Email: wadshb@yahoo.comMr. K.K.H RavindraSqcuadron LeaderAssistant Director DMC HambantotaTel:+94-7739-57875Email: harsharavindra39@yahoo.comharsharavindra39@gmail.comMr.D.M.W. DissanayakeEmail: shamikasudese@gmail.comDepartment of Meteorology(DoM)383, Bauddhaloka Mawatha,Colombo -7, Sri LankaTel: +94-112-694846Local Meteorological officeMattala International AirportMr.S.H.KariyawasamDirector GeneralTel:+94-269-4104Email: khsunila@gmail.comMr.S.R.JayasekeraTel:+94-269-1443Email:siriranjith1957@gmail.comMr.D.A. JayasinghearachchiDeputy DirectorTel:+94-268-4746Mobile: +94-773-772780Mr.W.W.DayanandaOfficer in charge, Meteorological officeMattala Internation AirportTel: +94-7736-21976Survey Department No. 150, Kirula Road, Narahenpita,Colombo 05Tel : +94 112369011 to 14Mrs. Shyamalie PereraDeputy Surveyor GeneralTel:+94-11-236-9865Mobile:+94-772-642362Email: shayamali16@gmail.comMr.S.D. Kelum PriyanthaEmail: sdkelum@hotmail.com,sdkelum@gmail.comMr.W.J.K.A.N. PrahathEmail: npjasinghe@yahoo.comNational Aquatic ResourcesResearch and DevelopmentAgency (NARA)Crow Island, Mattakkuliya,ColomboDr. ArulananthanHead, National Institute of Oceanography andMarine SciencesTel: +94-11-252-1932,

88. 85Mobile: +94-7736-85319Email: k.arulan@gmail.comMr.R.M. JayathilakaScientistMobile:+94-11-716-405118Email: ruchira.jayathilaka@gmail.comCoast ConservationDepartment (CCD)4 th Floor, New SecretariatBuilding, Maligawatta,Colombo10Tel:+94 11 244 9754Mr. Anil PremarathneDirector GeneralTel:+94-11-244-9197Mobile:+94-7184-07395Email:premaratnaanil@yahoo.comMr.R.A.S. RanawakaSenior EngineerTel: +94-1124-49754Email: sujeewa7@hotmail.comMs. Rajitha M. LakminiEmail:ccd_rajitha@yahoo.comMr. Mahesha Samera PereraEmail: maheshasameera@yahoo.comGeological Survey and MinesBureau (GSMB)569, Epitamulla Road, PitakotteTel:+94-11-2886289 / 2886290Ms.S.N.B.ThaldenaGeophysicistTel:+94-11-288-7680Email: nilminith@yahoo.comUniversity of Moratuwa Campus Road, MoratuwaTel:+94-11-2650441Prof.S. HettiarachchiProfessorMr.Shayani WeerasingheResearch assistantEmail: shayani_w@hotmail.comRIMES Outreach Bldg., AIT campus58 Moo 9 Paholyothin RdKlong Nueng, Klong LuangPathumthani 12120 ThailandTel: +662-516-5900 to 01Fax: +662-516-5902Dr. Patchanok SrivihokCoastal Hydrodynamics Scientistpatchanok@rimes.intMs. Ruby Rose PolicarpioInstitutional Development Specialistruby@rimes.intMs.J Elaine J LayugSurvey and GIS Specialistj.elaine@rimes.intMr.Payuha Naparat (Yam)Topographic survey and GIS specialist(Consultant)Fox_oneone@hotmail.com

89. 86ANNEX 2Information Collected fromHambantota Disaster Management CenterName of province/district/sub-district/village Hambantota DS DivisionContact person: KKH RavindraContact detail: Tel: 0773957875Email: harsharavindra39@yahoo.comI. Disaster Management Policy and InitiativeRefereeing to the current guidelines for disaster management provided by the governmentlevel, the process information flow during disaster includes:1. Informed to The Government Agent2. Informed to DG-DMC3. Informed to Divisional Secretary4. Informed to Grama Niladari5. Informed to Police Station6. Taking action according to the early instruction given by AssistantDirector(District) DMC to Grama Niladari. Working groups are:a) Early warning and Distribution team.b) Search and recue team,c) Camp management & Coordinating team.d) Health &Welfare teame) Patrol & security team.II. Major hazards in the areaElephant attack, flood, drought, strong windIII. Specific fund for Disaster ManagementOn requestIV. Human resource and equipments for rescue How many staffs are involved in the Unit? (Please specify if these staffs are technicalor non technical)20 staffs What are the equipments the municipality currently has for rescue operation afterany disaster?On request by various pvt/Gov Are these equipments are sufficient for such rescue operation?Not sufficient

90. 87Sectional Damage Report - Hambantota Ds DivisionSector Relavant Institute Damage BuildingsEstimated Damages(Rs. Million)Outside Plant 80Buildings 15Transmission Plant 20Power Plant 10Switching Plant 120Tower 15Vehicles 5TOTAL 265Peakok Beach Hotel 250Seaspray HotelJade Grenn RestaurantTOTAL 250Hambantota Kachcheriya Road 2.5Hambantota Hospital Road 0.8Mahalewaya Hambantota Road 230TOTAL 233.3Curcuit Bunglow 2.5Vehicles 1.5TOTAL 4Houses 562Commercial Buildings 163Lands 53Hotels 3Private Office 2Government Office 17TOTAL 800Buidings 0.075School Theator 0.675Toilets 0.145Wall 0.75TOTAL 1.645Main Hall 1.6Thee Stories Building 8.5Single Floor Building 1.8TOTAL 15.19House Connection 3.6Distribution & Pumping 0.42Bridge Crossing 0.02Vehicles 0.03TOTAL 4.07Paddy Land - Bandagiriya 3.5Other Crops 0.83TOTAL 4.33Main Office of Society 8.2Paddy Miller & the Store 4.8Seminar Room with Equipment 6.5Vehicles 1.1Rural Devisional Bank Office 0.799Medical Centre 0.764Stors 1.03Filling Centre 1.14Rented Building Complex 1.5Unrecovered Payment 15.8TOTAL 41.633Whole Sale 46.7Construction 12.1Services 75Irrigation Board Irigation DepartmentCommercial (AccordingTo UDA)RoadsTelecomunication Sri Lanka TelecomTourism Hotels & ResturentRoads & BridgesCo-operativeCommercial Private PremisesEducationSt.Meris CollegeSazira CollegeWater Board Water Board - HambantotaAgriculture Agrarian Service

91. 88Population - 2010 (Nationality)Sinhala Srilankan Tamil Burger Malle Sri Lankan Yonaka Total45,786 746 112 6,923 3,816 57,383Population - 2012 (Gender & Age)Male Female Below 15 Between 15-59 60 & Above 60 Total Population28,668 28,385 16,061 35,528 5,464 57,053GenderTsunami Damage Houses 2004 event - DS HambantotaFully Partially Fully Partially Fully Partially232 77 278 130 510 207In Side Out Side TotalTsunami Effected PersonalsNo. of effected Families No. of effected Personals3,500 13,208Death and missing list from tsunami diaster in Hambantota districtType of Death Bodies Number of death bodiesMale 847Female 1215Children 350Foregone 42Total 2454Number of missing personnel 616Total affected 3070Tsunami Affected Personnels in DS divisionDS Division Number of affect families Number of affected personelTangalle 5591 21348Ambalantota 2452 10036Hambantota 3500 13208Tissamanharamaya 1873 7236Beliatta 266 1028Weeraketiya 87 348Walasmulla 25 89Katuwana 62 224Okewela 24 83Augunakolapelessa 82 315Sooriyawewa 112 457Lunugamwehera 158 683Total 14232 55055

92. 89Damaged Houses (Inside/Outside -Buffer zone)DS DivisionFully Partially Fully Partially Fully PartiallyTangalle 419 277 202 653 621 930Ambalantota 58 7 78 223 136 230Hambantota 232 77 278 130 510 207Tissamaharamaya 43 12 94 20 137 32752 373 652 1026 1404 13992803Inside Outside TotalTsunami AffectedHotel - Hambantota DistrictSER No. Hotel name and address GS Division Contact No.50 Oenser beech hotel sisilasagame hambantota Hambantota 47220650751 Fun bech restturant layan rathnawera Hambantota 77710716852 Chamila gest vhouse rathna kumara Hambantota 47348933853 Pecok bech hotel hambantota Hambantota 47567100054 Jed greenrest hambantota Hambantota 47222069255 Kalana restaurant hambantota Hambantota 71268992456 Chamee rest hambantota Hambantota 713647857Tsunami AffectedSchool - Hambantota DistrictSER No. Name of school GS Division Contact No.01 H/Bondala K.V. Hambantota 77606650002 H/Shantha Mery National School Hambantota 0713120100/047222088003 H/Samodagama K.V. Hambantota 71807994604 H/Udamala K.V. Hambantota 71802043805 H/Pollemalala K.V. Hambantota 71830707806 H/Hungama Vijayaba N.V. Hambantota 71449639107 H/Theraputta Primary School Hambantota 0772029019/047222603608 H/Magama M.V. Hambantota 0718276535/047222546009 H/Andaragasyaya Primary School Hambantota 0718096282/047720331010 H/Kirindagama MuslimM.V. Hambantota 714477025611 H/Kirindagama Hambantota 71857751512 Primary School Hambantota 485717494

93. 95Number of damaged housing and non housing building units due to tsunami 2004 - Hambantota DistrictAffected DS Division Housing Units Non Housing Units Total Building UnitsCompletely Damage Partially Damage Partially DamagedTotal Completely Damage Partially Damage Partially DamagedTotal Completely Damage Partially Damage Partially Damaged Total(Unusable) (Usable) (Unusable) (Usable) (Unusable) (Usable)Tissamaharamaya 132 26 52 210 105 4 9 118 237 30 61 328Hambantota 549 55 178 782 225 23 92 340 774 78 270 1122Ambalantota 104 21 65 190 12 0 2 14 116 21 67 204Tangalle 433 202 724 1359 96 31 191 318 529 233 915 1677Total 1218 304 1019 2541 438 58 294 790 1656 362 1313 3331

94. 95