Abstract:
his study exemplifies the regionalization of Sri Lanka into meteorologi-
cally homogeneous regions. The rain gauge stations established in Sri Lanka have not
been continuously established across the country and are very limited. Rain gauges
are high in wet zone areas and low in other areas. Very few rain gauges were estab-
lished in the northern part of the country. Therefore, meteorologically homogeneous
regions are important for flood frequency analysis, and regional intensity duration
frequency curves. Regional analysis provides important precision rather than single
or geographically close locations. Sri Lanka has been classified into meteorologically
homogeneous regions using the Words cluster analysis, discordancy measure and het-
erogeneity measure. In the context of this study, total precipitation data of 352 stations
operated by the meteorological and irrigation departments have been used for cluster
analysis. Initially, Sri Lanka was classified into six regions using rainfall indices of
mean annual rainfall, annual maximum mean rainfall, southwest monsoon mean rain-
fall, northeast monsoon mean rainfall of the daily recorded 352 stations and 3-hour
and 6-hour intensity for the 5-year return period of 50 number of hourly recorded rain
gauge stations along with the latitude, longitude and altitude. The discordancy of the
clustered six regions was analysed by discordancy measure. Subsequently, the heter-
ogeneity of the non-discordant regions was examined by the heterogeneity measure.
Initially developed six regions were regrouped to form meteorologically homogene-
ous 11 regions which satisfied the non-discordant and heterogeneity criterion. Finally,
Sri Lanka has been classified into 11 meteorologically homogeneous regions. The
homogeneous regions can be used to conduct frequency analysis and regional studies
related to the tank cascade systems
