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  • Chapter 1. An Assessment of Building Vulnerability to Tsunami Using the PTVA-4 Method: Case Study of the 2006 Cilacap Tsunami Tragedy

Chapter 1. An Assessment of Building Vulnerability to Tsunami Using the PTVA-4 Method: Case Study of the 2006 Cilacap Tsunami Tragedy

$55.27 $80.14
--><!-- FX Anjar Tri Laksono,Doctoral School of Earth Sciences, Department of Geology and Meteorology, Institute of Geography and Earth Sciences, Faculty of Sciences, University of Pecs, Pcs, Baranya, HungaryDepartment of Geological Engineering, Faculty of Engineering, Jenderal Soedirman University, Purbalingga, Central Java, Indonesia Part of the book: Tsunamis: Detection Technologies, Response Efforts and Harmful Effects Abstract The tsunami tragedy in southern Java, Indonesia, in 2006 induced casualties of almost 1000 people and an economic loss of approximately USD 1 billion. The recurrence period for the tsunami in southern Java is not yet known. The subduction zone between the Eurasia continental plate and the Indo-Australia oceanic plate throughout the southern region of Java Island is a vulnerable zone whose number of earthquake sources are unknown until nowadays. This zone is a densely populated area and the largest source of Indonesian economic income besides the north coast of Java. Therefore, a building vulnerability study is required to minimize casualties and financial losses. The Papathoma Tsunami Vulnerability Assessment (PTVA-4) modeling is a suitable method to be developed because it is reliable and does not need high costs. The discussion of this chapter presents an example of the PTVA-4 modeling application in Cilacap, Indonesia, the area that was hit by the 2006 tsunami. Keywords: Indonesia, PTVA-4, relative vulnerability index, surface roughness coefficient, tsunami hazard index References Abdurrachman M, Widiyantoro S, Priadi B, Alim MZA and Dewangga AH. (2015).Proposed new Wadati-Benioff Zone model in Java-Sumatra Subduction Zone and itstectonic implication. Joint Convention Balikpapan, 1-4.Aditama MR, Sunan HL, Tri Laksono FA, Ramadhan G, Iswahyudi S and Fadlin. (2021).Integrated Subsurface Analysis of Thickness and Density for Liquefaction Hazard:Case Study of South Cilacap Region, Indonesia. Journal of Geoscience, Engineering,Environment, and Technology, 58-66.Asri AK, Elya H, Duantari N, Suryaningsih E and Victoria LDDD. (2016). Dual MitigationSystem: Database System Combination of EWS and APRS for Disaster Management(Case Study: Malang Southern Coast). Procedia-Social and Behavioral Sciences, 227.Batzakis DV, Misthos LM, Voulgaris G, Tsanakas K, Andreou M, Tsodoulos I andKarymbalis E. (2020). Assessment of building vulnerability to tsunami hazard inkamari (Santorini island, greece). Journal of Marine Science and Engineering, 886.DallOsso F, Dominey-Howes D, Tarbotton C, Summerhayes S and Withycombe G.(2016). Revision and improvement of the PTVA-3 model for assessing tsunamibuilding vulnerability using international expert judgment: introducing the PTVA 4 model. Natural Hazards, 1229-1256.Dewi RS. (2012). A-Gis Based Approach of an Evacuation Model for Tsunami RiskReduction. Journal of Integrated Disaster Risk Management, 108-139.Fujii Y and Satake K. (2006). Source of the July 2006 West Java tsunami estimated fromtide gauge records. Geophysical Research Letters, L24317.Gunawan E, Meilano I, Abidin HZ, Hanifa NR and Susilo. (2016). Investigation of the bestcoseismic fault model of the 2006 Java tsunami earthquake based on mechanisms ofpostseismic deformation. Journal of Asian Earth Sciences, 64-72.Hall S, Pettersson J, Meservy W, Harris R, Agustinawati D, Olson J and McFarlane A.(2017). Awareness of tsunami natural warning signs and intended evacuationbehaviors in Java, Indonesia. Natural Hazards, 473-496.Harisuthan S, Hasalanka H, Kularatne D and Siriwardana C. (2020). Applicability of thePTVA-4 model to evaluate the structural vulnerability of hospitals in Sri Lanka againsttsunami. International Journal of Disaster Resilience in the Built Environment, 581-596.Izquierdo T, Fritis E and Abad M. (2018). Analysis and validation of the PTVA tsunamibuilding vulnerability model using the 2015 Chile post-tsunami damage data inCoquimbo and la Serena cities. Natural Hazards and Earth System Sciences, 1703-1716.Kato T, Ito T, Abidin HZ and Agustan. (2007). Preliminary report on crustal deformationsurveys and tsunami measurements caused by the July 17, 2006 South off Java IslandEarthquake and Tsunami, Indonesia. Earth, Planets and Space, 1055-1059.Koulali A, McClusky S, Susilo S, Leonard Y, Cummins P, Tregoning P, Meilano I, EfendiJ and Wijanarto AB. (2017). The kinematics of crustal deformation in Java from GPSobservations: Implications for fault slip partitioning. Earth and Planetary Science Letters, 69-79.Laksono FA, Aditama MR, Setijadi R and Ramadhan G. (2020). Run-up Height and FlowDepth Simulation of the 2006 South Java Tsunami Using COMCOT on WidarapayungBeach. IOP Conference Series: Materials Science and Engineering, 012047.Laksono FAT, Tsai LLY and Pilarczyk J. (2021). The Sedimentological Record of UpperHolocene Tsunami Event in Fengbin, Taiwan. Geopersia, 169-203.Macas J, Castro MJ, Ortega S and Gonzlez-Vida JM. (2020). Performance assessment ofTsunami-HySEA model for NTHMP tsunami currents benchmarking. Field cases. Ocean Modelling, 101645.Madani S, Khaleghi S and Jannat MRA. (2017). Assessing building vulnerability totsunami using the PTVA-3 model: A case study of Chabahar Bay, Iran. Natural Hazards, 349-359.Mardiatno D, Malawani MN and Nisaa RM rifatun. (2020). The future tsunami riskpotential as a consequence of building development in Pangandaran Region, WestJava, Indonesia. International Journal of Disaster Risk Reduction, 101523.Papathoma-Khle M, Cristofari G, Wenk M and Fuchs S. (2019). The importance ofindicator weights for vulnerability indices and implications for decision making indisaster management. International Journal of Disaster Risk Reduction, 101103.Pilarczyk JE, Dura T, Horton BP, Engelhart SE, Kemp AC and Sawai Y. (2014).Microfossils from coastal environments as indicators of paleo-earthquakes, tsunamisand storms. Palaeogeography, Palaeoclimatology, Palaeoecology, 144-157.Rosalia S, Widiyantoro S, Nugraha AD and Supendi P. (2019). Double-differencetomography of p-and s-wave velocity structure beneath the western part of Java,Indonesia. Earthquake Science, 12-25.Salmanidou DM, Ehara A, Himaz R, Heidarzadeh M and Guillas S. (2021). Impact of futuretsunamis from the Java trench on household welfare: Merging geophysics andeconomics through catastrophe modelling. International Journal of Disaster Risk Reduction, 102291.Samaras AG, Karambas TV and Archetti R. (2015). Simulation of tsunami generation,propagation and coastal inundation in the Eastern Mediterranean. Ocean Science, 643-655.Sassa S and Takagawa T. (2019). Liquefied gravity flow-induced tsunami: First evidenceand comparison from the 2018 Indonesia Sulawesi earthquake and tsunami disasters.Landslides, 195-200.Shinozaki T, Sawai Y, Hara J, Ikehara M, Matsumoto D and Tanigawa K. (2016).Geochemical characteristics of deposits from the 2011 Tohoku-oki tsunami atHasunuma, Kujukuri coastal plain, Japan. Island Arc, 350-368.Strusiska-Correia A. (2017). Tsunami mitigation in Japan after the 2011 Thoku Tsunami.In International Journal of Disaster Risk Reduction, 397-411.Suppasri A, Muhari A, Syamsidik Yunus R, Pakoksung K, Imamura F, Koshimura S andPaulik R. (2018). Vulnerability characteristics of tsunamis in indonesia: Analysis ofthe global centre for disaster statistics database. Journal of Disaster Research, 1039-1048.Tappin DR. (2021). Submarine landslides and their tsunami hazard. In Annual Review ofEarth and Planetary Sciences, 551-578.Tarbotton C, Dominey-Howes D, Goff JR, Papathoma-Kohle M, Dallosso F and TurnerIL. (2012). GIS-based techniques for assessing the vulnerability of buildings totsunami: Current approaches and future steps. Geological Society Special Publication, 115.Widiyantoro S, Gunawan E, Muhari A, Rawlinson N, Mori J, Hanifa NR, Susilo S, SupendiP, Shiddiqi HA, Nugraha AD and Putra HE. (2020). Implications for megathrustearthquakes and tsunamis from seismic gaps south of Java Indonesia. Scientific Reports, 15274.
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  • Chapter 1. An Assessment of Building Vulnerability to Tsunami Using the PTVA-4 Method: Case Study of the 2006 Cilacap Tsunami Tragedy
    $55.27 $80.14

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