| dc.description.abstract | Floods are among the most destructive climate change disasters in Uganda. They cause
physical damage to property and loss of lives. Despite these, little had been documented to
ascertain the extent of flood impacts in Karusandara sub-county in Kasese district. This study
aimed to address this knowledge gap through assessing the implications of floods on
communities in Karusandara sub-county, Kasese district. The study also identified flood
adaptation strategies used by the people and assessed the challenges encountered in adapting
to floods. Karusandara sub-county was purposively selected and households were used as
sampling framework. This study was based on a cross sectional research design where
qualitative and quantitative methods were used to collect data. In addition, this study was also
based on primary and secondary data. The study used various tools of data collection for
example questionnaires, direct observation, key informant interviews and photography to
collect data. The collected data was coded, processed and later entered into SPSS. This data
was analysed using descriptive statistics, factor and content analysis. Results were displayed
in bar graphs and tables. For the general objective of assessing the implications of floods on
communities in Karusandara sub-county, this study found out floods to cause destruction of
crop gardens (22%), death of people and livestock (22%), destruction of transport and
telecommunication infrastructures (14%), reduction in water quality (8%), cause water borne
diseases (6%), displacement of people (6%), delay of road rehabilitation (2%), destruction of
health facilities and schools (4%), reduction of agricultural output (2%), increase under
development and poverty (8%) and cause continuous diversion of government funds (6%).
The study further identified the various flood adaptation strategies these included;
construction of canals and sand banks (6%), protection of water sources (24%), raising the
house floor (18%), building resilient infrastructures (16%), cultivation on higher grounds
(10%), putting early warning systems (16%) and migration to safe areas (10%). | en_US |
