Tsunami vulnerability assessment in the Southern Boso Peninsula, Japan

2014 ◽  
Vol 10 ◽  
pp. 190-200 ◽  
Author(s):  
G. Voulgaris ◽  
Y. Murayama
2009 ◽  
Vol 9 (5) ◽  
pp. 1557-1565 ◽  
Author(s):  
F. Dall'Osso ◽  
M. Gonella ◽  
G. Gabbianelli ◽  
G. Withycombe ◽  
D. Dominey-Howes

Abstract. The Papathoma Tsunami Vulnerability Assessment (PTVA) Model (Papathoma, 2003) was developed in the absence of robust, well-constructed and validated building fragility models for assessing the vulnerability of buildings to tsunami. It has proven to be a useful tool for providing assessments of building vulnerability. We present an enhanced version (PTVA-3) of the model that takes account of new understanding of the factors that influence building vulnerability and significantly, introduce the use of the Analytic Hierarchy Process (AHP) for weighting the various attributes in order to limit concerns about subjective ranking of attributes in the original model. We successfully test PTVA-3 using building data from Maroubra, Sydney, Australia.


2012 ◽  
Vol 63 (2) ◽  
pp. 549-573 ◽  
Author(s):  
H. Ismail ◽  
A. K. Abd Wahab ◽  
M. F. Mohd Amin ◽  
M. Z. Mohd Yunus ◽  
F. Jaffar Sidek ◽  
...  

2003 ◽  
Vol 3 (6) ◽  
pp. 733-747 ◽  
Author(s):  
M. Papathoma ◽  
D. Dominey-Howes

Abstract. We apply a new tsunami vulnerability assessment method to two coastal villages in the Gulf of Corinth, Greece using the 7th February 1963 tsunami as a worse case scenario. In Akoli, 46.5% of all buildings are classified highly vulnerable (BV). Approximately, 26.3% of all households are located within buildings with a High BV classification whereas 85% of all businesses are located within buildings with a High BV classification and 13.7% of the population is located within buildings with a High BV classification. In Selianitika, 28.8% of all buildings are classified with a High BV and 11% of all households are located within buildings with a High BV classification. Also 29.3% of all businesses and 33.4% of all services are located within buildings with a High BV classification and 6.7% of the population is located within buildings with a High BV classification. We estimate the minimum costs of a hypothetical tsunami with a wave run-up (H(m)max) of + 5 m. The results are considered significant because they have important implications for coastal risk assessment, resource allocation and disaster management planning.


2011 ◽  
Vol 60 (1) ◽  
pp. 135-147 ◽  
Author(s):  
Tune Usha ◽  
M. V. Ramana Murthy ◽  
N. T. Reddy ◽  
Pravakar Mishra

2021 ◽  
Vol 884 (1) ◽  
pp. 012012
Author(s):  
Tanasiva ◽  
Chatarina Muryani ◽  
Pipit Wijiyanti

Abstract Tsunamis are disasters with unpredictable events, but the occurrence of tsunamis in Indonesia always has a significant impact on every sector of life, especially the economy and society. The position of the Indonesian State, which is located in the subduction zones as well as the increasing human activity in coastal areas, are the factors that trigger the tsunami, which is accompanied by losses and damages. One of them is Purworejo Regency, which is directly adjacent to the Indian Ocean. Vulnerability assessment is the focus of this paper. This study uses a quantitative analysis approach with analytical methods in the form of scoring analysis. Weighted cell-based data processing is the main cog in vulnerability assessment. The combination of economic and social parameters creates a vulnerability. Financial vulnerability is measured based on GRDP and productive land, while social vulnerability is estimated based on population density and vulnerable communities. The vulnerability analysis results are in the form of total vulnerability level in the medium class, the level of economic vulnerability in the low, quality, and social vulnerability in the medium class associated with the implication of disaster risk management.


2009 ◽  
Vol 54 (1) ◽  
pp. 75-95 ◽  
Author(s):  
R. Omira ◽  
M. A. Baptista ◽  
J. M. Miranda ◽  
E. Toto ◽  
C. Catita ◽  
...  

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