Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 최민하 | - |
dc.date.accessioned | 2018-02-22T07:46:26Z | - |
dc.date.available | 2018-02-22T07:46:26Z | - |
dc.date.issued | 2012-09 | - |
dc.identifier.citation | Journal of Coastal Research., Sep 2012, 28(5), P.1020-1031 | en_US |
dc.identifier.issn | 0749-0208 | - |
dc.identifier.uri | http://www.bioone.org/doi/abs/10.2112/JCOASTRES-D-12-00065.1 | - |
dc.description.abstract | The recent occurrence of tsunamis that have caused a significant loss of human life and property has aroused considerable attentions to the natural disaster. Tsunami disaster prevention policy is generally focused on the creation of hazard maps based on virtual tsunamis. To increase the efficacy of such maps, the flooding hazard area at one location, Jumunjin Port, was predicted in this study. The flooding height expected to cause human losses was determined, and the probability of the simulated tsunami flooding exceeding this height was calculated at each point of the grid covering the flooding hazard area. To obtain the flooding data, a numerical simulation was conducted of the propagation and inundation of a virtual tsunami. To determine the probability distribution type of the flooding data, a goodness-of-fit test, namely, the probability plot correlation coefficient (PPCC) test, was used, and the normal, lognormal, exponential, and Gumbel distributions were assumed to be the probability distribution types of the flooding height data. The best-fit probability distribution type among the four probability distribution types was determined at each point. The probability of flooding exceeding the criterion height was calculated for each grid point using the cumulative distribution function (CDF) that corresponded to the best-fit probability distribution. The lognormal distribution was found to be the most appropriate distribution type for the tsunami flooding height. | en_US |
dc.description.sponsorship | This research was a part of the project titled "Counter-measure System against Typhoons and Tsunamis in Harbor Zones" funded by the Ministry of Land, Transport and Maritime Affairs, Korea. The second author was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2012-0002516). | en_US |
dc.language.iso | en | en_US |
dc.publisher | Coastal Education & Research | en_US |
dc.subject | Tsunamis | en_US |
dc.subject | flooding hazard area | en_US |
dc.subject | probability distribution type | en_US |
dc.subject | probability plot correlation coefficient test | en_US |
dc.title | Tsunami Hazard Area Predicted by Probability Distribution Tendency | en_US |
dc.type | Article | en_US |
dc.relation.no | 5 | - |
dc.relation.volume | 28 | - |
dc.identifier.doi | 10.2112/JCOASTRES-D-12-00065.1 | - |
dc.relation.page | 1020-1031 | - |
dc.relation.journal | JOURNAL OF COASTAL RESEARCH | - |
dc.contributor.googleauthor | Kim, Yong Cheol | - |
dc.contributor.googleauthor | Choi, Minha | - |
dc.contributor.googleauthor | Cho, Yong-Sik | - |
dc.contributor.googleauthor | 김영철 | - |
dc.contributor.googleauthor | 최민하 | - |
dc.contributor.googleauthor | 조영식 | - |
dc.relation.code | 2012204865 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING | - |
dc.identifier.pid | mchoi | - |
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