Events1st International Electronic Conference on Remote Sensing
Published
This submission belongs to the session d. Applications of the event 1st International Electronic Conference on Remote Sensing
Published date
29 Jun, 2015
Citation
Sourav Das, Debasish Roy Raja, Susceptibility Analysis of Landslide in Chittagong City Corporation Area, in Proceedings of 1st International Electronic Conference on Remote Sensing, 22 June–5 July 2015, MDPI: Basel, Switzerland, doi: 10.3390/ecrs-1-d012
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Susceptibility Analysis of Landslide in Chittagong City Corporation Area

1. Bachelor of Urban and Regional Planning (B.URP) Chittagong University of Engineering and Technology (CUET) Chittagong-4349, Bangladesh
2. Assistant Professor, Department of Urban and Regional Planning, Chittagong University of Engineering and Technology, Chittagong-4349, Bangladesh
Abstract

In Chittagong city, landslide phenomena is the most burning issue which causes great problems to the life and properties and it is increasing day by day and becoming one of the main problems of city life. On 11 June 2007, a massive landslide happened in Chittagong City Corporation (CCC) area, a large number of foothill settlements and slums were demolished; more than 90 people died and huge resource destruction took place. It is therefore essential to analyze the landslide susceptibility for CCC area to prepare mitigation strategies as well as assessing the impacts of climate change. To assess community susceptibility of landslide hazard, a landslide susceptibility index map has been prepared using analytical hierarchy process (AHP) model based on geographic information system (GIS) and remote sensing (RS) and its susceptibility is analyzed through community vulnerability assessment tool (CVAT). The major findings of the research are 27% of total CCC area which is susceptible to landslide hazard and whereas 6.5 sq.km areas are found very highly susceptible. The landslide susceptible areas of CCC have also been analyzed in respect of physical, social, economic, environmental and critical facilities and it is found that the overall CCC area is highly susceptible to landslide hazard. So the findings of the research can be utilized to prioritize risk mitigation investments, measures to strengthen the emergency preparedness and response mechanisms for reducing the losses and damages due to future landslide events.

Keywords
Analytical Hierarchy Process (AHP)
CVAT tool
Geographic Information System (GIS)
Landslide
Remote Sensing (RS) and Susceptibility
Manuscript
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