Page 82 - AJWEP-v22i2
P. 82

Ghosh and Prakasam

                                                                    of  river  floodplains.  Flood vulnerability of certain
                                                                                       39
                                                                    regions is a function of exposure to flood susceptibility,
                                                                    adaptive capacity, and elements at risk. 40,41  In the
                                                                    present  context,  six  variables  –  population  density,
                                                                    household  density,  child  population,  illiteracy  rate,
                                                                    marginal  worker,  and  agricultural  worker  –  were
                                                                    considered at the village level based on the 2011
                                                                    Census of India.  Weights were assigned depending
                                                                    on  the  level  of  significance  (Table  4). The  spatial
                                                                    distribution of vulnerability indicators is represented
                                                                    in Figure 9. The highest weights were assigned to the
                                                                    villages with high household density, high population
                                                                    density, high illiteracy rate, and a high number of
                Figure  8.  The  area  under  the  curve  of  generated   marginal and agricultural workers who are directly
                flood hazard maps                                   affected by flooding events. The derived vulnerability
                                                                    map (Figure  10) inferred that 461  villages were
                different  flood  events.  Of  these,  80  points  served  as   highly vulnerable, whereas 485 villages were very
                training  points to correlate  with conditioning  factors,   highly vulnerable.  These villages represent a socio-
                and 120 points were utilized for validation. As shown   economically disadvantaged status with a high
                in Figure 8, the AUC values for the FR and Shannon’s   population, household density, high child population,
                entropy  models  were  calculated  as  0.957  and  0.99,   high number of marginal workers, and illiteracy rate. In
                respectively, indicating  acceptable performance  for   contrast, 330 villages were moderately vulnerable, and
                both in predicting flood hazard susceptibility. However,   310 villages had very low vulnerability, whereas 308
                the entropy model demonstrated superior accuracy to   villages had low vulnerability, which depicts improved
                the FR model, as evidenced by its higher AUC value.  prevailing socio-economic status compared to previous
                                                                    villages.
                4.3. Flood vulnerability assessment
                Vulnerability  refers  to  how  likely  people  are  to  be   4.4. Flood exposure assessment
                harmed by natural disasters, accidents, or economic   Exposure is the potentiality of loss of life, resources, and
                downturns.  This harm can be physical, social, or   commodities  due  to  external  hazardous  or  disastrous
                economic.  It encompasses the potential for loss of life,   events.  The exposure index reflects the places that may
                                                                          37
                         37
                property damage, and disruption of livelihoods.  The   be adversely affected and the factors in the environment
                flood vulnerability index provides a simplified measure   that  will  affect  floods.  In the present study, four
                                                                                          42
                of harm susceptibility through physical, social, and   variables (Figure 11) – village-river length, village-level
                economic factors. It helps to identify the potential flood-  elevation,  NDVI,  and  NDWI  –  were  considered  for
                vulnerable areas and can direct future mitigation and   exposure assessment at the village level and assigned
                adaptation strategies.  Vulnerability can be classified   appropriate weights. The highest weightages (Table 5)
                                   38
                as social vulnerability, economic vulnerability, physical   were assigned to the villages  with low elevation  and
                vulnerability, and environmental vulnerability. Physical   villages with high drainage length, high NDWI, and low
                vulnerability includes infrastructure and agricultural   NDVI, as they are highly exposed to flooding. Flood
                activity; social vulnerability includes children, women,   exposure (Figure 12) in the study area has been scaled
                old, disabled people, refugees, and livestock; and   into five classes (very high, high, moderate, low, and
                economic vulnerability is related to economic losses   very low). It is inferred from the exposure map that 530
                related  to  hazards  and  disasters.  The  scale  of  flood   and 283 villages of the study area have very low and
                vulnerability and its potential to turn into a disaster is   low exposure, respectively; 179 villages are moderately
                determined by the value of the receptors or the exposed   exposed, while 561 and 340 villages are highly and very
                materials that may be affected by flooding events. This   highly  exposed  to  floods,  respectively.  These  highly
                possibility of greater flood damage and losses is often   exposed villages are situated in the lowest elevated river
                exacerbated by illegal encroachment or occupation   valleys within the study area.




                Volume 22 Issue 2 (2025)                        76                           doi: 10.36922/AJWEP025040019
   77   78   79   80   81   82   83   84   85   86   87