Estimation of Tsunami Hazard Vulnerability Factors by Integrating Remote Sensing, GIS and AHP Based Assessment - Open Access Library Journal

OALibJ > Vol.3 No.4, April 2016

Open Access Library Journal

Volume 3, Issue 4 (April 2016)

ISSN Print: 2333-9705 ISSN Online: 2333-9721

Google-based Impact Factor: 0.73 Citations

Estimation of Tsunami Hazard Vulnerability Factors by Integrating Remote Sensing, GIS and AHP Based Assessment ()

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DOI: 10.4236/oalib.1102212 1,372 Downloads 2,975 Views Citations

Author(s)

Mohammad Reza Poursaber^1,2*, Yasuo Ariki¹

Affiliation(s)

¹Graduate School of System Informatics, Kobe University, Kobe, Japan.
²Faculty of Civil, Water and Environmental Engineering, Shahid Beheshti University, Tehran, Iran.

ABSTRACT

Geographic Information Systems (GIS), image processing in remote sensing and analytical hierarchy process (AHP) were used to estimate and classify vulnerability and inundation areas under the Tohoku tsunami event 2011 in the Ishinomaki, Miyagi prefecture, Japan. Acceptable data were obtained from Geoeye-1 satellite image, GSI DEM and field survey. Five factors of elevation, slope, shoreline distance, river distance and vegetation were used to classify the vulnerability and be weighted via AHP. By assessing the estimated and classified vulnerability map and comparing it with the inundation map of the study area, we found that a 13.44 km² area came under the tsunami vulnerability zone. Inundation areas were located in high and slightly high vulnerability classifications. Kitakami river and the Unga water canal played the role of flooding strips by transporting tsunami waves into the hinterland. This research is important to understand the roles of main topographical factors in a tsunami disaster.

KEYWORDS

GIS, Remote Sensing, AHP and Tsunami Vulnerability Map

Share and Cite:

Poursaber, M. and Ariki, Y. (2016) Estimation of Tsunami Hazard Vulnerability Factors by Integrating Remote Sensing, GIS and AHP Based Assessment. Open Access Library Journal, 3, 1-11. doi: 10.4236/oalib.1102212.

Cited by

[1]	Coastal vulnerability mapping due to tsunami using Geographic Information System in Buleleng Regency, Bali Province
	IOP Conference Series …, 2021

[2]	Tsunami assessment and evacuation analysis using remote sensing for Tianya District of Sanya City, China
	2019

[3]	Physical flood vulnerability mapping applying geospatial techniques in Okazaki City, Aichi Prefecture, Japan
	Urban Science, 2017

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