Spatial Change Assessment of the Observed and Projected Extreme Precipitation via Change Point Detection
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chen, Si | - |
dc.contributor.author | Kim, Seong Wook | - |
dc.contributor.author | Kim, Tae-Woong | - |
dc.date.accessioned | 2021-06-22T18:21:42Z | - |
dc.date.available | 2021-06-22T18:21:42Z | - |
dc.date.created | 2021-01-22 | - |
dc.date.issued | 2016-08 | - |
dc.identifier.issn | 1877-7058 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/15968 | - |
dc.description.abstract | This study investigated possible change points of extreme precipitation during the past 1973-2012 and the future 2020-2059 in South Korea. The Bayesian change point detection was performed based on a generalized Pareto distribution. Changes in the shape/tail index were detected to account for the changes in the extreme data. Results indicated 20 and 24 stations exhibited a change point for the observed and projected period, respectively. An abrupt increase in the 100-year design level appeared in the majority of northern part during the past period and the increase was likely to move to the southern area for the projected period. © 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Elsevier Ltd | - |
dc.title | Spatial Change Assessment of the Observed and Projected Extreme Precipitation via Change Point Detection | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Tae-Woong | - |
dc.identifier.doi | 10.1016/j.proeng.2016.07.496 | - |
dc.identifier.scopusid | 2-s2.0-84997719979 | - |
dc.identifier.wosid | 000385793200182 | - |
dc.identifier.bibliographicCitation | Procedia Engineering, v.154, pp.1359 - 1367 | - |
dc.relation.isPartOf | Procedia Engineering | - |
dc.citation.title | Procedia Engineering | - |
dc.citation.volume | 154 | - |
dc.citation.startPage | 1359 | - |
dc.citation.endPage | 1367 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 3 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | other | - |
dc.relation.journalResearchArea | Water Resources | - |
dc.relation.journalWebOfScienceCategory | Water Resources | - |
dc.subject.keywordPlus | Hybrid integrated circuits | - |
dc.subject.keywordPlus | Pareto principle | - |
dc.subject.keywordPlus | Precipitation (meteorology) | - |
dc.subject.keywordPlus | Bayesian Analysis | - |
dc.subject.keywordPlus | Change point detection | - |
dc.subject.keywordPlus | Change-points | - |
dc.subject.keywordPlus | Design levels | - |
dc.subject.keywordPlus | Extreme precipitation | - |
dc.subject.keywordPlus | Generalized Pareto Distributions | - |
dc.subject.keywordPlus | Spatial analysis | - |
dc.subject.keywordPlus | Spatial changes | - |
dc.subject.keywordPlus | Climate change | - |
dc.subject.keywordAuthor | Bayesian analysis | - |
dc.subject.keywordAuthor | change point detection | - |
dc.subject.keywordAuthor | climate change | - |
dc.subject.keywordAuthor | extreme precipitation | - |
dc.subject.keywordAuthor | spatial analysis | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S1877705816318859?via%3Dihub | - |
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