Page 48 - 2022 Abstract Book RUICHSS_2022_11_17 after conference
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University of Ruhuna                                                               ISSN: 2706-0063
               Matara, Sri Lanka

               Geospatial Analysis of Flood Vulnerability Assessment and
               Mapping in the Bulathsinhala DS Division

               P.W.S. Fernando
               Department of Geography, University of Ruhuna.
               wasanasurandi@gmail.com




               Floods  are  considered  the  most  devastating  hydro-meteorological  disaster  in  the
               world, which causes the destruction of human lives and properties. Human-induced
               land  use  changes,  climate  change  and  morphological  changes  in  rivers  cause  to
               accelerate  the  severity  and  intensity  of  floods.  The  Bulathsinhala  DS  division  is
               highly vulnerable to flood hazards every year due to the overflowing of Kuda Ganga
               from a tributary of Kalu Ganga. The main objective of this study is to demarcate
               flood-prone areas using Geographical Information systems. Geospatial analyses are
               an appropriate technique for making wise decisions to mitigate the adverse impact of
               natural disasters. The secondary objective is to assess the vulnerable areas of the
               Bulathsinhala  DSD.  Multi-Criteria  Decision  Analysis  (MCDA)  was  adopted  as  a
               methodological  process.  Rainfall,  elevation,  slope,  Digital  Elevation  Model
               (DEM)land  use  pattern,  population  density,  drainage  distance,  distance  of  road
               network, and building distribution have been selected to assign the weightage under
               the weighted overlay method. In addition to previous flood records data have been
               used as secondary data. Each of the flood indicators was reclassified as very high risk,
               moderate risk, less risk and risk free. The flood risk map revealed that very high risk
               area  covered  24.7  (12.53%)  square  kilometres,  moderate  risk  areas  covered  106
               (53.80%) sq km Low risk areas covered 63.4(32.18%) sq. km and areas free from risk
               areas  covered  2.8  (1.42%)  sq  km.  In  order  to  improve  the  effectiveness  of  the
               emergency response support and aid to victims for greater preparedness potential, it
               is  projected  that  this  susceptible  flood  map  would  be  able  to  help  responsible
               government bodies.

               Keywords: Assessment, Flood, Hazard, Multicriteria Decision Making, Vulnerability










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