Multi-Hazard Risk Zonation Based on Functions Responsible for Hazards Like Landslides, Floods, Forest Fires and Earthquakes in Mandakini Valley
Seema Joshi1, J. K. Garg2, Amarjeet Kaur3
1Seema Joshi*, University School of Environment Management, Guru Gobind Singh Indraprastha University, New Delhi, India. (Esri India Technologies Ltd).
2J.K. Garg, University School of Environment Management, Guru Gobind Singh Indraprastha University, New Delhi, India.
3Amarjeet Kaur, University School of Environment Management, Guru Gobind Singh Indraprastha University, New Delhi, India.
Manuscript received on January 05, 2020. | Revised Manuscript received on January 25, 2020. | Manuscript published on January 30, 2020. | PP: 3874-3885 | Volume-8 Issue-5, January 2020. | Retrieval Number: E5602018520/2020©BEIESP | DOI: 10.35940/ijrte.E5602.018520
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The Himalayas are considered youngest mountain on Earth. Region is highly vulnerable to hazards because of tectonic activity, steep slopes, highly variable altitudes and uncertain climatic conditions. As a result, key hazards experienced in the region are earthquakes, landslides, forest fires, snow/ice avalanches, flash floods and extreme rainfall events which lead to great losses to human lives and property every year. The aim of study is to find most vulnerable area in terms of multi-hazards as per UNISDR guidelines. Here, GIS based techniques were used for disaster risk assessment towards various hazards and then integrating vulnerable areas with demography to perform detailed multi-hazard zonation of the area. Various Geo-spatial and statistical techniques were used in analysis of different types of disaster risk, determining the factors affecting incidents and in preparation of multi-hazard risk maps. The work involved the qualitative study, through in depth scientific observations, study available models for early warnings, develop models using sample data and generate multi-hazard vulnerability of study area. Using advanced geo-spatial techniques, Hazard Zonation maps were generated for different hazards in the Study Area. These maps were overlaid with Socio-economic and Demographic Profile of the habitations in the study area and multi-hazard risk assessment maps were generated. On the basis of complete geo-spatial analytics and scientific models, it was derived that 74 + villages are highly prone to various disaster. Scripts were written to automate various processes. Results were verified and validated during field visits.
Keywords: GIS, Hazard Risk Zonation, Landslides, Floods, Fires, Earthquake.
Scope of the Article: Concrete Engineering.