Geospatial Approach for Assessment of Vulnerability to Flood in Local Self Governments
Recent years have shown a significant increase in the occurrence of floods globally, with an impact on habitation and different sectors of the economy. This, in turn, necessitates the use of different flood mitigation strategies, wherein flood vulnerability assessment plays a significant role. The proposed work presents a methodology that combines vulnerability under physical-environmental and socio-economic domains to assess the overall flood vulnerability at the local self-government level. The methodology was illustrated to the case of Aluva municipality, located on the banks of River Periyar, in Kerala state, India. The spatial variation of hazard inducing factors and population statistics were analysed using Geographic Information System (GIS) tools. The machine learning algorithm, Random Forest, which uses hazard inducing factors as input was implemented for the evaluation of physical-environmental vulnerability. The social vulnerability of the region was analysed using the GIS Multi-criteria decision analysis approach (MCDA), with criteria weights to incorporate the interests of different stakeholders. The critical combinations of the two domains of vulnerability in the assessment of the vulnerability to flood, to have efficient flood management in local self-government was demonstrated in this study and can be made use of for any flood event.
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Geospatial Approach for Assessment of Vulnerability to Flood in Local Self Governments
Posted 02 Dec, 2020
On 14 Dec, 2020
On 29 Nov, 2020
On 19 Nov, 2020
On 19 Nov, 2020
On 19 Nov, 2020
On 21 Oct, 2020
On 14 Oct, 2020
Received 14 Oct, 2020
On 08 Oct, 2020
Received 08 Oct, 2020
Invitations sent on 07 Oct, 2020
On 05 Aug, 2020
On 04 Aug, 2020
On 04 Aug, 2020
On 16 Jul, 2020
Received 17 Jun, 2020
On 09 Jun, 2020
Invitations sent on 09 Jun, 2020
On 09 Jun, 2020
On 08 Jun, 2020
On 08 Jun, 2020
On 20 May, 2020
Received 10 May, 2020
Received 26 Apr, 2020
On 20 Apr, 2020
Invitations sent on 19 Apr, 2020
On 19 Apr, 2020
On 14 Apr, 2020
On 13 Apr, 2020
On 13 Apr, 2020
On 12 Apr, 2020
Recent years have shown a significant increase in the occurrence of floods globally, with an impact on habitation and different sectors of the economy. This, in turn, necessitates the use of different flood mitigation strategies, wherein flood vulnerability assessment plays a significant role. The proposed work presents a methodology that combines vulnerability under physical-environmental and socio-economic domains to assess the overall flood vulnerability at the local self-government level. The methodology was illustrated to the case of Aluva municipality, located on the banks of River Periyar, in Kerala state, India. The spatial variation of hazard inducing factors and population statistics were analysed using Geographic Information System (GIS) tools. The machine learning algorithm, Random Forest, which uses hazard inducing factors as input was implemented for the evaluation of physical-environmental vulnerability. The social vulnerability of the region was analysed using the GIS Multi-criteria decision analysis approach (MCDA), with criteria weights to incorporate the interests of different stakeholders. The critical combinations of the two domains of vulnerability in the assessment of the vulnerability to flood, to have efficient flood management in local self-government was demonstrated in this study and can be made use of for any flood event.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10
Figure 11
Figure 12
Figure 13