dc.description.abstract | Vulnerabilities and capacities for natural
coastal hazards (Tsunami, Cyclone, Flooding, Sea level
rise and Salt water intrusion) of selected GN divisions of
Negombo, Sri Lanka were studied, estimated and gradient
maps were prepared using the software Arch GIS.
Descriptive qualitative research methods were mainly
used to develop a data base under three categories:
personal profile, capacity and vulnerability which was
quantified to produce five personal profile indicators,
PPI) , nine capacity indicators (Nano Capacity Indicators
(NCI) and ten vulnerability indicators (Deca Vulnerability
Indicators (DVI) respectively.
Capacity and vulnerability ranking of selected GNs was
carried out. Accordingly, Thalahena has the highest
capacity strength and the second lowest vulnerability
strength. Also, Kapungoda has the highest vulnerability
strength with the lowest capacity strength.
Unemployment rate of 18% and education level below
ordinary level of 14%, were the two key factors to be
addressed seriously in terms of enhancing capacities and
decreasing vulnerabilities of Negombo DS. Providing
information for policy developers is also important
as lack of proper drainage system in Negombo DS
was 96%, especially in proper land use planning and
development. Statistical analysis revealed a moderate
positive relationship between Infrastructure and
Educational level, Technology vs Age Range,Cope up
vs Age Range and Cope up vs Educational Level. A
positive weak relationship between wealth vs Educational
Level, Technology vs Educational Level and Information
vs Status. And also a very weak negative relationship
between Awareness vs Gender and a very weak positive
relationship between Information vs Educational level
and Institutional vs Educational level were identified. | en_US |