Earthquake-Tsunami Risk Assessment and Critical Multi-hazard Loss Scenarios: A Case Study in Japan Under the Nankai-Tonankai Mega-Thrust

2016 ◽

Vol 16 (2) ◽

pp. 577-593 ◽

Cited By ~ 14

Author(s):

Katsuichiro Goda ◽

Kamilla Abilova

Keyword(s):

Risk Assessment ◽

Early Stage ◽

Source Parameters ◽

Earthquake Source ◽

Tsunami Early Warning ◽

Earthquake Source Parameters ◽

Tsunami Risk ◽

Tsunami Warnings ◽

Hazard Warning

Abstract. This study investigates the issues related to underestimation of the earthquake source parameters in the context of tsunami early warning and tsunami risk assessment. The magnitude of a very large event may be underestimated significantly during the early stage of the disaster, resulting in the issuance of incorrect tsunami warnings. Tsunamigenic events in the Tohoku region of Japan, where the 2011 tsunami occurred, are focused on as a case study to illustrate the significance of the problems. The effects of biases in the estimated earthquake magnitude on tsunami loss are investigated using a rigorous probabilistic tsunami loss calculation tool that can be applied to a range of earthquake magnitudes by accounting for uncertainties of earthquake source parameters (e.g., geometry, mean slip, and spatial slip distribution). The quantitative tsunami loss results provide valuable insights regarding the importance of deriving accurate seismic information as well as the potential biases of the anticipated tsunami consequences. Finally, the usefulness of rigorous tsunami risk assessment is discussed in defining critical hazard scenarios based on the potential consequences due to tsunami disasters.

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Tsunami hazard warning and risk prediction based on inaccurate earthquake source parameters

Natural Hazards and Earth System Sciences Discussions ◽

10.5194/nhessd-3-7487-2015 ◽

2015 ◽

Vol 3 (12) ◽

pp. 7487-7525

Author(s):

K. Goda ◽

K. Abilova

Keyword(s):

Risk Assessment ◽

Early Stage ◽

Source Parameters ◽

Earthquake Source ◽

Tsunami Early Warning ◽

Earthquake Source Parameters ◽

Tsunami Risk ◽

Tsunami Warnings ◽

Hazard Warning

Abstract. This study investigates the issues related to underestimation of the earthquake source parameters in the context of tsunami early warning and tsunami risk assessment. The magnitude of a very large event may be underestimated significantly during the early stage of the disaster, resulting in the issuance of incorrect tsunami warnings. Tsunamigenic events in the Tohoku region of Japan, where the 2011 tsunami occurred, are focused on as a case study to illustrate the significance of the problems. The effects of biases in the estimated earthquake magnitude on tsunami loss are investigated using a rigorous probabilistic tsunami loss calculation tool that can be applied to a range of earthquake magnitudes by accounting for uncertainties of earthquake source parameters (e.g. geometry, mean slip, and spatial slip distribution). The quantitative tsunami loss results provide with valuable insights regarding the importance of deriving accurate seismic information as well as the potential biases of the anticipated tsunami consequences. Finally, usefulness of rigorous tsunami risk assessment is discussed in defining critical hazard scenarios based on the potential consequences due to tsunami disasters.

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A method for tsunami risk assessment: a case study for Kamakura, Japan

Natural Hazards ◽

10.1007/s11069-017-2928-x ◽

2017 ◽

Vol 88 (3) ◽

pp. 1451-1472 ◽

Cited By ~ 10

Author(s):

Non Okumura ◽

Sebastiaan N. Jonkman ◽

Miguel Esteban ◽

Bas Hofland ◽

Tomoya Shibayama

Keyword(s):

Risk Assessment ◽

Tsunami Risk

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Lessons learned from the 2011 Great East Japan Earthquake: A case study of tsunami risk assessment in a Japanese chemical corporation

Process Safety Progress ◽

10.1002/prs.12315 ◽

2021 ◽

Author(s):

Nobukata Ochiai ◽

Jo Nakayama ◽

Yu‐ichiro Izato ◽

Atsumi Miyake

Keyword(s):

Risk Assessment ◽

Lessons Learned ◽

Great East Japan Earthquake ◽

Tsunami Risk ◽

Chemical Corporation

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Do Disaster Literacy and Mitigation Policy Affect Residents Resettling in Tsunami Prone Areas? Study from the City of Banda Aceh, Indonesia

Forum Geografi ◽

10.23917/forgeo.v35i1.11510 ◽

2021 ◽

Vol 35 (1) ◽

Author(s):

Khairunnisa Khairunnisa ◽

Yusya Abubakar ◽

Didik Sugianto

Keyword(s):

Remote Sensing ◽

Risk Assessment ◽

Risk Reduction ◽

Natural Hazards ◽

Natural Hazard ◽

Hazard Mitigation ◽

Disaster Risk ◽

Tsunami Risk ◽

Banda Aceh

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Issues in Legal Scholarship, 11(1), 29-44.Jain, Garima., Singh, Chandni and Malani, T. (2017). Rethinking Post-disaster Relocation in Urban India. International Institute for Environment and Development.Kafle, S. K. (2006). Rapid Disaster Risk Assessment of Coastal Communities: A Case Study of Mutiara Village, Banda Aceh, Indonesia. In Proceedings of the International Conference on Environment and Disaster Management Held in Jakarta, Indonesia on December (pp. 5-8).Mardiatno, D., Malawani, M. N., Annisa, D. N., Wacano, D. (2017). Review on Tsunami Risk Reduction in Indonesia Based on Coastal and Settlement Typology. The Indonesian Journal of Geography, 49(2), 186-197.Marlyono, S. G. (2017). Peranan Literasi Informasi Bencana terhadap Kesiapsiagaan Bencana Masyarakat Jawa Barat. Jurnal Geografi Gea, 16(2), 116-123.Oktari, R. S., Nugroho, A., Fahmi, M., Suppasri, A., Munadi, K., Amra, R. (2021). Fifteen years of the 2004 Indian Ocean Tsunami in Aceh-Indonesia: Mitigation, preparedness and challenges for a long-term disaster recovery process. International Journal of Disaster Risk Reduction, 54, 102052.Peacock, W. G. and H. R. (2011). The Adoption and Implementation of Hazard Mitigation Policies and Strategies by Coastal Jurisdictions in Texas: The Planning Survey Results. Retrieved from http/TheAdoptionandImplementationofHazardMitigationPoliciesandStrategiesbyCoastalJurisdictionsinTexasDec2011.pdfPemerintah Kota Banda Aceh. (2009).Rencana Tata Ruang dan Wilayah (RTRW) Kota Banda Aceh 2009-2029.Priyowidodo, G., Luik, J. E. (2013). Literasi mitigasi bencana tsunami untuk masyarakat pesisir di Kabupaten Pacitan Jawa Timur. Ekotrans, 13(1), 47-61.PU, K. (2015). Rancangan Pembangunan Infrastruktur dan Inventaris Jangka Menengah (RPI-2JM) Bidang Cipta Karya 2015-2019.Sambah, A. B., Miura, F. (2019). Geo Spatial Analysis for Tsunami Risk Mapping. 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An Overview of Risk-Based EEE Counterfeit Part Detection Based on SAE AS6171

10.31399/asm.cp.istfa2018p0051 ◽

2018 ◽

Author(s):

Michael H. Azarian

Keyword(s):

Risk Assessment ◽

Multiple Solutions ◽

Test Equipment ◽

Assessment Methodology ◽

Test Plan ◽

Specific Test ◽

Risk Assessment Methodology

Abstract As counterfeiting techniques and processes grow in sophistication, the methods needed to detect these parts must keep pace. This has the unfortunate effect of raising the costs associated with managing this risk. In order to ensure that the resources devoted to counterfeit detection are commensurate with the potential effects and likelihood of counterfeit part usage in a particular application, a risk based methodology has been adopted for testing of electrical, electronic, and electromechanical (EEE) parts by the SAE AS6171 set of standards. This paper provides an overview of the risk assessment methodology employed within AS6171 to determine the testing that should be utilized to manage the risk associated with the use of a part. A scenario is constructed as a case study to illustrate how multiple solutions exist to address the risk for a particular situation, and the choice of any specific test plan can be made on the basis of practical considerations, such as cost, time, or the availability of particular test equipment.

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