TY  - SER
AU  - Niroshinie,Malawara Arachchige Chamila
AU  - Babel,Mukand Singh
AU  - Sutat Weesakul,
AU  - Perret,Sylvain Roger
AU  - Herath,Srikantha
ED  - Ministry of Foreign Affairs,Norway, 
TI  - Analysis of extreme rainfall and floods in Colombo under climate change scenarios
T2  - Thesis
PY  - 2010///
CY  - Pathum Thani, Thailand
PB  - Asian Institute of Technology
KW  - Rain and rainfall
KW  - Environmental aspects
KW  - Sri Lanka
KW  - Colombo
KW  - Floods
KW  - Climatic changes
N1  - A thesissubmitted in partial fulfillment of the requirementsfor thedegree of Master of Engineeringin Water Engineering and Management; Thesis (M.Eng.) - Asian Institute of Technology, 2009
N2  - Colombo,  the  commercial  capital  of  Sri  Lanka  is  located  in  the  flood  plains  of  Kelani River,which  makes  Colombo  area  more  vulnerabledue  to  flooding  duringthe  monsoon seasons.Furthermore, it has  beenidentified that Colombo has undergone climate changes over  the  past  years  and  very  random  change  of  rainfall  anomalies  had  been  observed. However,  no  research  had  beencarried  out  on  analyzing  extreme  flood  scenarios  which can happen due to climate change conditionsin future. This study focused on analyzing the extreme  flooding  scenarios  due  to  climate  change  in  Colombo  area.  Specific  objectives were,  to  analyze  future  climate  conditions  in  Kelani  basin  with  different  GCM  data,  to define  extreme  rainfall  scenarios  for  Kelani  basin  taking  climate  change  into  account,  to model and simulate food inundations in Colombo area under extreme rainfall scenarios and to propose adaptation measures to reduce the impacts in Colombo area.Selection of the best GCM, which can represent the trend of rainfall in Colombo area, was done  prior  to  analyzing  climate  change  impacts  to  the  study  area.  With  compared  to  the observed data  for the baseline and  GCM data for the base  line, CSIRO-Mk2 was the  best among  considered  GCMs. Delta  change  method  and  Statistical  DownscalingModel  were used to downscale the GCM data. Aseasonal variation of future rainfall was observed with downscaled rainfall data.Frequency   analysis   was   done   for   annual   maximums   of downscaled daily rainfall data to obtain the extreme events.Flood   ModelingSystem   (FMS)   developed   by   UN University,   JapanwithTokyo University, JapanandNippon Koei Geographic Analysis System (NKGIAS) was used for flood  inundation  modeling in  Colombo  area  (lowerreach  of  Kelani  River).  According  to the  flood  inundation  modeling  results,  future  flood  events  will createmore  inundations than  the  past  events.  Therefore,  possible  adaptation  measures  especially  non  structural measures were suggested accordingly
UR  - http://203.159.5.9/ait-thesis/detail.php?q=B04323 
ER  -