• Suneet Naithani
• Sushma Singh

The natural hazards make the Himalayan region and its communities vulnerable with an impact on ecological, social, behavioral and economic structure. The Hazard Vulnerability Analysis (HVA) is one of the tools to address and to minimize vulnerabilities and hazards risk. For the last 3 decades advancements in the fields of Geographic Information System (GIS) and Remote Sensing (RS) have greatly facilitated the operation of risk assessment. The objectives were to assess the vulnerability and maps to understand the coping mechanism of Lah-Jhekla, Chachna and Dapha villages of district Pithoragarh, Uttarakhand. The primary and secondary data was collected by using structured/ semi-structured questionnaire, Participatory Rural Appraisal (PRA) and from district line departments and NGOs respectively. The agriculture (approximately 90%) in the villages is mostly rain fed. The area is being experienced by climate induced hazards. The HVA revealed the very high vulnerability of villages. On the basis of relative threat percentage of particular hazard the vulnerability to landslide was assessed about 66%, earthquake 65%, cloud bursts 43% and heavy rainfall 21% having a direct impact on livelihood options with a limited support from various agencies. To cope up with the various risks there is a need of habitat selection for emergency operation sites, livelihood options, relief and rescue training along with micro level disaster mitigation and management plan for sustaining the life in the region.

Index Terms - Hazard Vulnerability Analysis, Natural hazards, Risk, Vulnerability, RS and GIS

"Hazard Vulnerability Analysis of Himalayan Village Cluster", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.74-80, July-2018, Available :http://www.jetir.org/papers/JETIR1807360.pdf

"Hazard Vulnerability Analysis of Himalayan Village Cluster", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp74-80, July-2018, Available at : http://www.jetir.org/papers/JETIR1807360.pdf