Vulnerability assessment and resilience plan against climate variability for coastal villages of Kutch district (Also available on CD)
Material type: TextPublication details: 2012Description: xi,49,xviiip.,CD-ROMDDC classification:- FSECC TH-0011 GIN
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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Thesis | CEPT Library | Faculty of Planning | FSECC TH-0011 GIN | Not for loan | 009885 |
ABSTRACT Climate variability and its impacts will render huge populations vulnerable. The populations will have to adapt to these impacts. Every region will have differential exposure and thus, different kinds.of vulnerabilities and coping strategies. To cope with the impacts, the scale, intensity and type of impacts are to be known. Coastal areas are at an increasing risk due to climate variability, urbanisation and industrialization. Huge populations live in coastal regions of India and Gujarat. The study looks a vulnerabilities arising due to climate variability in the eoastal villages of Kutch district of Gujarat. The vulnerability is measured using Livelihood vulnerability index (LVT) and LVI-IPCC index. The major components that are assessed are Socio-demographics, livelihood, social networks, food, water, health and Natural disasters and climate variability. For LVI-IPCC index these components form three contributing factors called adaptive capacity, sensitivity and exposure. The data collection was done by a means of household survey. 110 households were surveyed in 6 villages of Anjar taluka. The six villages selected were Tuna, Vandi, Rampar. Sanghad, Chandrapur and Vira. Out of these Vandi is most vulnerable by both indices. Vira and Rampar are most vulnerable by livelihood sector, Sanghad and Chandrapur by social networks, and Tuna by food. The study then proposes a resilience plan for the 6 villages. This plan has been prepared by using the index results and the issues raised by the villagers. This kind of a study can be used by authorities to measure vulnerability for villages and districts. This can also help built adaptation and resilience plans. It helps devise an effective plan as the data is mainly primary.
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