Assessing coastal vulnerability at the village level using a robust framework, the example of Canacona in South Goa, India

Climate change poses a significant threat to coastal regions worldwide. This study presents and applies a modified CVI to assess coastal vulnerability at the village level, focusing on Canacona, a taluka in South Goa, India. It adapts the existing CVI methodology by incorporating additional variables to represent the various dimensions of vulnerability better, resulting in 21 variables split into a Physical Vulnerability Index (PVI) and a Social Vulnerability Index (SoVI). The results show spatial variability in coastal vulnerability across the studied villages, with Agonda and Nagercem-Chaudi found to be highly vulnerable and Loliem to be the least vulnerable. A hydrological modeling approach is also used to compare the CVI of every village with their susceptibility to inundation due to rising sea levels. The result demonstrates the influence of local factors on vulnerability, challenging previous taluka-level assessments given the typical scale upon which adaptation typically takes place.