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Fig. 5: Flow chart for static inundtion analysis.
km² and 320.673 km² shall become submerged, respectively. To validate this
model, the results obtained from inundation analysis are compared with 2004
tsunami run up data, and found to be comparable. This underlines the validity
of the model developed in this study (Fig. 3).
Though inundation model utilizing DEM helps in the identification and
quantification of areas of submergence, an idea of the land uses that are affected
is also needed. Thus, spatial distribution of the coastal inundation of
Nagapatinam region was determined using landuse and landcover map (LULC)
derived from supervised classification of IRS P6 LISS 3 multispectral image
sets, as well as from the classification of digital elevation model (DEM) of
ASTER Global DEM. In addition, tourism and historically important places
were separately mapped. By integrating all these data sets, an assessment of
different land use classes (including tourism and historical places) that may
get affected under different scenarios of inundation are identified (Fig. 4, Table 1).
Assuming a run up height of one metre, mud flat, sandy area, creeks and
river mouth are most affected. In addition, the areal extension of submergence
under the land use categories settlement, agricultural and mangrove lands are
respectively 1.4, 1.5 and 3.2 km 2 , respectively. For two-metre run up height,
mud flat, sandy area, land with scrub creeks and river mouth are most affected.
The area under submergence for settlement, agricultural, plantation and
mangrove land categegories are 2.4, 7.4, 4.8 and 4.3 km 2 , respectively.
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