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

DOI: 10.4236/oalib.1102212, PP. 1-11

Subject Areas: Environmental Sciences

Keywords: GIS, Remote Sensing, AHP and Tsunami Vulnerability Map

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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.

Cite this paper

Poursaber, M. R. and Ariki, Y. (2016). Estimation of Tsunami Hazard Vulnerability Factors by Integrating Remote Sensing, GIS and AHP Based Assessment. Open Access Library Journal, 3, e2212. doi: http://dx.doi.org/10.4236/oalib.1102212.

References

[1]  Department of Regional Development and Environment Executive Secretariat for Economic and Social Affairs Organization of American States (1991) Primer on Natural Hazard Management in Integrated Regional Development Planning. Washington DC.
[2]  Roxana, L., Ciurean, D.S. and Glade, T. (2013) Conceptual Frameworks of Vulnerability Assessments for Natural Disasters Reduction. INTECH Published, 1-32.
[3]  FEMA (2015) Applications of GIS for Emergency Management, Lesson 1: Introduction and Course Overview, IS-922. Accessed on 16 August 2015.
https://emilms.fema.gov/is922/GISsummary.htm
[4]  Stephen, J.C. (2007) Integrating Multi-Criteria Evaluation with Geographical Information Systems. Geographical Information Systems, 5, 321-339.
[5]  Islam, T. and Saman, S. (2006) Spatial Information-Based Approach for Integrated Coastal Resource Management in Asian Tsunami-Affected Countries. FAO Regional Office Asia and Pacific, The Regional Workshop on Information Managementand Coordination Mechanisms of Tsunami Emergency and Rehabilitation Operations in Agriculture, Fisheries and Forestry, 287-311.
[6]  James, C.A., Harriet, D.R., Hoag, D.L., McMaster, G.S., Vandenberg, B.C., Shaffer, M.J., Weltz, M.A. and Ahjua, L.R. (2002) Multi-Criteria Spatial Decision Support Systems: Overview, Applications, and Future Research Directions. 175-180.
[7]  Deichmann, U., Ehrlich, D., Small, C. and Zeug, G. (2011) Using High Resolution Satellite Data for the Identification of Urban Natural Disaster Risk. European Union and World Bank.
[8]  Sambah, A.B. and Miura, F. (2013) Remote Sensing, GIS, and AHP for Assessing Physical Vulnerability to Tsunami Hazard. World Academy of Science, Engineering and Technology. International Journal of Environmental, Ecological, Geological and Mining Engineering, 7.
[9]  für Geowissenschaften, F. (2010) Assessing Building Vulnerability to Tsunami Hazard Using Integrative Remote Sensing and GIS Approaches. Dissertation Thesis.
[10]  Dall’Osso, F., Gonella, M., Gabbianelli, G., Withycombe, G. and Dominey-Howes, D. (2009) A Revised (PTVA) Model for Assessing the Vulnerability of Buildings to Tsunami Damage.
[11]  Dall’Osso, F., Bovio, L., Cavalletti, A., Immordino, F., Gonella, M. and Gabbianelli, G. (2010) A Novel Approach (the CRATER Method) for Assessing Tsunami Vulnerability at the Regional Scale Using ASTER Imagery. Italian Journal of Remote Sensing, 42, 55-74.
[12]  Sinaga, T.P.T., Nugroho, A., Lee, Y.-W. and Suh, Y. (2010) GIS Mapping of Tsunami Vulnerability: Case Study of the Jembrana Regency in Bali, Indonesia.
[13]  National Oceanic and Atmospheric Administration (2012) Ishinomaki Climate Normals 1961-1990.
[14]  Weih Jr., R.C. and Mattson, T.L. (2004) Modeling Slope in a Geographic Information System. Journal of the Arkansas Academy of Science, 58, 100-108.
[15]  Tanaka, H., Kayane, K., Adityawan, M.B. and Farid, M. (2013) The Effect of Bed Slope to the Tsunami Intrusion into Rivers. Coastal Dynamics, 1601-1610.
[16]  Adityawan, M.B., Roh, M., Tanaka, H. and Farid, M. (2012) The Effect of River Mouth Morphological Features on Tsunami Intrusion. 75-83.
[17]  Campbell, J.E. and Shin, M. (2012) Geographic Information System Basics. v. 1.0, Chap. 6, 133-163.
[18]  Podger, N.E., Colwell, W.B. and Taylor, M.H. (2011) GeoEye-1 Radiance at Aperture and Planetary Reflectance.
[19]  (2002) 3.3 Normalised Difference Vegetation Index (NDVI). NDVI: A Non-Technical Overview.
[20]  Singh, S.K., Chandel, V., Kumar, H. and Gupta, H. (2014) RS & GIS Based Urban Land Use Change and Site Suitability Analysis for Future Urban Expansion of Parwanoo Planning Area, Solan, Himachal Pradesh (India). International Journal of Development Research, 4, 1491-1503.
[21]  Saaty, T.L. (1977) A Scaling Method for Priorities in Hierarchical Structures. Journal of Mathematical Psychology, 15, 234-281.
http://dx.doi.org/10.1016/0022-2496(77)90033-5
[22]  Teknomo, K. (2006) Analytic Hierarchy Process (AHP).
[23]  Rao, R.V. (2013) Decision Making in the Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods, Chapter 2, Improved Multiple Attribute Decision Making Methods.
http://www.springer.com/978-1-4471-4374-1
[24]  Geospatial Authority of Japan (GSI) (2015) Map of Inundation Area Due to the 2011 Great East Japan Earthquake, Map Number 12. Accessed on 2 November 2015.
http://www.gsi.go.jp/common/000059847.pdf
[25]  Chandrasekar, N., Immanuel, J.L., Sahayam, J.D., Rajamanickam, M. and Saravanan, S. (2007) Appraisal of Tsunami Inundation and Run-Up along the Coast of Kanyakumari District, India—GIS Analysis. Oceanologia, 49, 397-412.
[26]  Gencer, E.A. (2013) Natural Disasters, Urban Vulnerability, and Risk Management: A Theoretical Overview. In: Gencer, E.A., Ed., The Interplay between Urban Development, Vulnerability, and Risk Management, Mediterranean Studies, Vol. 7, Chap. 2, Springer-Verlag, Berlin, 7-43.
[27]  Papathoma-Kohle, M., Ulbrich, T., Keiler, M., Pedoth, L., Totschnig, R., Glade, T., Schneiderbauer, S. and Eidswig, U. (2014) Vulnerability to Heat Waves, Floods, and Landslides in Mountainous Terrain: Test Cases in South Tyrol. In: Birkmann, J., Kienberger, S. and Alexander, D., Eds., Assessment of Vulnerability to Natural Hazards: A European Perspective, Elsevier Publications, Amsterdam, 179-201.
http://dx.doi.org/10.1016/b978-0-12-410528-7.00008-4

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