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Landslide tsunami impact assessment toward human lives using numerical modelling: A case study from Banten, Indonesia
After the eruption of Mount Anak Krakatoa, December 22, 2018, which was accompanied by a large landslide into the waters of the Sunda Strait, resulting a tsunami that hit South Coast of Lampung and West of Banten. According [1], 437 peoples were death, 31,942 peoples were injured and 10 peoples were...
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Published in: | E3S web of conferences 2022, Vol.340, p.1015 |
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description | After the eruption of Mount Anak Krakatoa, December 22, 2018, which was accompanied by a large landslide into the waters of the Sunda Strait, resulting a tsunami that hit South Coast of Lampung and West of Banten. According [1], 437 peoples were death, 31,942 peoples were injured and 10 peoples were lost due to this disaster. The tsunami impact toward human lives was calculated by using the human instability equation [3] and TUNAMI Two Layer model was applied to simulate the landslide and propagation of tsunami [2]. The simulation results were validated with observations and field measurements data [1]. The result of simulation showed that flow depth of the tsunami reached 0.29-5.83 m with the tsunami velocity about 0.23-7.49 m/s along the shore of Pandeglang Regency. Using Aida Equation for validate simulation results, has K = 0.96733. The results of calculations using the human instability equation show that the value of hazard risk (HR) > 1 because all critical velocity values lower than velocity of simulation. So, it was mean that tsunami waves occurred in Banten especially Pandeglang Regency has high risk impact for the balance of the human body and this condition related with the observation condition that show many victims included people died and injured in this area. |
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According [1], 437 peoples were death, 31,942 peoples were injured and 10 peoples were lost due to this disaster. The tsunami impact toward human lives was calculated by using the human instability equation [3] and TUNAMI Two Layer model was applied to simulate the landslide and propagation of tsunami [2]. The simulation results were validated with observations and field measurements data [1]. The result of simulation showed that flow depth of the tsunami reached 0.29-5.83 m with the tsunami velocity about 0.23-7.49 m/s along the shore of Pandeglang Regency. Using Aida Equation for validate simulation results, has K = 0.96733. The results of calculations using the human instability equation show that the value of hazard risk (HR) > 1 because all critical velocity values lower than velocity of simulation. So, it was mean that tsunami waves occurred in Banten especially Pandeglang Regency has high risk impact for the balance of the human body and this condition related with the observation condition that show many victims included people died and injured in this area.</description><identifier>ISSN: 2267-1242</identifier><identifier>ISSN: 2555-0403</identifier><identifier>EISSN: 2267-1242</identifier><identifier>DOI: 10.1051/e3sconf/202234001015</identifier><language>eng</language><publisher>Les Ulis: EDP Sciences</publisher><subject>Critical velocity ; Landslides ; Numerical models ; Simulation ; Tsunamis ; Velocity</subject><ispartof>E3S web of conferences, 2022, Vol.340, p.1015</ispartof><rights>2022. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c1855-4b3b27461fcf3b1aecb2789fcb9054ff9e57dfee86d4383eaafa3ee6a6d511963</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2819350413?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>309,310,314,780,784,789,790,4024,23930,23931,25140,25753,27923,27924,27925,37012,44590</link.rule.ids></links><search><contributor>Mas, E.</contributor><contributor>Rusydy, I.</contributor><contributor>Idris, Y.</contributor><contributor>Meilianda, E.</contributor><contributor>Musa, T.</contributor><contributor>Rahman, A.</contributor><contributor>Opdyke, A.</contributor><contributor>Muksin</contributor><contributor>Suppasri, A.</contributor><contributor>Haridhi, H.A.</contributor><creatorcontrib>Ali, Muhammad</creatorcontrib><creatorcontrib>Rasyif, Teuku</creatorcontrib><creatorcontrib>Mahlil, Teuku</creatorcontrib><title>Landslide tsunami impact assessment toward human lives using numerical modelling: A case study from Banten, Indonesia</title><title>E3S web of conferences</title><description>After the eruption of Mount Anak Krakatoa, December 22, 2018, which was accompanied by a large landslide into the waters of the Sunda Strait, resulting a tsunami that hit South Coast of Lampung and West of Banten. According [1], 437 peoples were death, 31,942 peoples were injured and 10 peoples were lost due to this disaster. The tsunami impact toward human lives was calculated by using the human instability equation [3] and TUNAMI Two Layer model was applied to simulate the landslide and propagation of tsunami [2]. The simulation results were validated with observations and field measurements data [1]. The result of simulation showed that flow depth of the tsunami reached 0.29-5.83 m with the tsunami velocity about 0.23-7.49 m/s along the shore of Pandeglang Regency. Using Aida Equation for validate simulation results, has K = 0.96733. The results of calculations using the human instability equation show that the value of hazard risk (HR) > 1 because all critical velocity values lower than velocity of simulation. So, it was mean that tsunami waves occurred in Banten especially Pandeglang Regency has high risk impact for the balance of the human body and this condition related with the observation condition that show many victims included people died and injured in this area.</description><subject>Critical velocity</subject><subject>Landslides</subject><subject>Numerical models</subject><subject>Simulation</subject><subject>Tsunamis</subject><subject>Velocity</subject><issn>2267-1242</issn><issn>2555-0403</issn><issn>2267-1242</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpNkc1rFEEQxQdRMMT8Bx4avLqmq792xlsMfiws5BLPTW13dexlpnvtmlHy3zu6QXKqqsfj1YNf170F-QGkhWvSHGpJ10oqpY2UIMG-6C6UctsNKKNePttfd1fMR7malO2NNBfdsscSecyRxMxLwSmLPJ0wzAKZiXmiMou5_sYWxY9lwiLG_ItYLJzLgyjLRC0HHMVUI43jqn0UNyIgk-B5iY8itTqJT1hmKu_FrsRaiDO-6V4lHJmunuZl9_3L5_vbb5v93dfd7c1-E6C3dmMO-qC2xkEKSR8AKaxnP6RwGKQ1KQ1ktzER9S4a3WtCTKiJHLpoAQanL7vdOTdWPPpTyxO2R18x-39CbQ8e25zDSB7QBRNAkqOtidL00jpwzqpBBoca16x356xTqz8X4tkf69LKWt-rHgZtpQG9uszZFVplbpT-fwXp__LyT7z8c176D2dWiwg</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Ali, Muhammad</creator><creator>Rasyif, Teuku</creator><creator>Mahlil, Teuku</creator><general>EDP Sciences</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>H8D</scope><scope>HCIFZ</scope><scope>KR7</scope><scope>L6V</scope><scope>L7M</scope><scope>M7S</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>SOI</scope><scope>DOA</scope></search><sort><creationdate>2022</creationdate><title>Landslide tsunami impact assessment toward human lives using numerical modelling: A case study from Banten, Indonesia</title><author>Ali, Muhammad ; Rasyif, Teuku ; Mahlil, Teuku</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1855-4b3b27461fcf3b1aecb2789fcb9054ff9e57dfee86d4383eaafa3ee6a6d511963</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Critical velocity</topic><topic>Landslides</topic><topic>Numerical models</topic><topic>Simulation</topic><topic>Tsunamis</topic><topic>Velocity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ali, Muhammad</creatorcontrib><creatorcontrib>Rasyif, Teuku</creatorcontrib><creatorcontrib>Mahlil, Teuku</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Aerospace Database</collection><collection>SciTech Premium Collection</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Environment Abstracts</collection><collection>DOAJ (Directory of Open Access Journals)</collection><jtitle>E3S web of conferences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ali, Muhammad</au><au>Rasyif, Teuku</au><au>Mahlil, Teuku</au><au>Mas, E.</au><au>Rusydy, I.</au><au>Idris, Y.</au><au>Meilianda, E.</au><au>Musa, T.</au><au>Rahman, A.</au><au>Opdyke, A.</au><au>Muksin</au><au>Suppasri, A.</au><au>Haridhi, H.A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Landslide tsunami impact assessment toward human lives using numerical modelling: A case study from Banten, Indonesia</atitle><jtitle>E3S web of conferences</jtitle><date>2022</date><risdate>2022</risdate><volume>340</volume><spage>1015</spage><pages>1015-</pages><issn>2267-1242</issn><issn>2555-0403</issn><eissn>2267-1242</eissn><abstract>After the eruption of Mount Anak Krakatoa, December 22, 2018, which was accompanied by a large landslide into the waters of the Sunda Strait, resulting a tsunami that hit South Coast of Lampung and West of Banten. According [1], 437 peoples were death, 31,942 peoples were injured and 10 peoples were lost due to this disaster. The tsunami impact toward human lives was calculated by using the human instability equation [3] and TUNAMI Two Layer model was applied to simulate the landslide and propagation of tsunami [2]. The simulation results were validated with observations and field measurements data [1]. The result of simulation showed that flow depth of the tsunami reached 0.29-5.83 m with the tsunami velocity about 0.23-7.49 m/s along the shore of Pandeglang Regency. Using Aida Equation for validate simulation results, has K = 0.96733. The results of calculations using the human instability equation show that the value of hazard risk (HR) > 1 because all critical velocity values lower than velocity of simulation. 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title | Landslide tsunami impact assessment toward human lives using numerical modelling: A case study from Banten, Indonesia |
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