Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김태웅 | - |
dc.date.accessioned | 2021-08-10T06:00:45Z | - |
dc.date.available | 2021-08-10T06:00:45Z | - |
dc.date.issued | 2020-05 | - |
dc.identifier.citation | HYDROLOGY RESEARCH, v. 51, no. 4, page. 699-719 | en_US |
dc.identifier.issn | 1998-9563 | - |
dc.identifier.issn | 1998-9563 2224-7955 | - |
dc.identifier.uri | https://iwaponline.com/hr/article/51/4/699/74424/Changes-in-extreme-rainfall-and-its-implications | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/163461 | - |
dc.description.abstract | This study aims to explore possible distributional changes in annual daily maximum rainfalls (ADMRs) over South Korea using a Bayesian multiple non-crossing quantile regression model. The distributional changes in the ADMRs are grouped into nine categories, focusing on changes in the location and scale parameters of the probability distribution. We identified seven categories for a distributional change in the selected stations. Most of the stations (28 of 50) are classified as Category III, which is characterized by an upward trend with an increase in variance in the distribution. Moreover, stations with a downward trend with a decrease in the variance pattern (Category VII) are mainly distributed on the southern Korean coast. On the other hand, Category I stations are mostly located in eastern Korea and primarily show a statistically significant upward trend with a decrease in variance. Moreover, this study explored changes in design rainfall estimates for different categories in terms of distributional changes. For Categories I, II, III, and VI, a noticeable increase in design rainfall was observed, while Categories IV, V, and VII showed no evidence of association with risk of increased extreme rainfall. | en_US |
dc.description.sponsorship | This work was supported by a Grant (127568) from the Water Management Research Program funded by the Ministry of the Environment of the Korean Government. Climate data are freely available from https://data.kma.go.kr. The data used in this study are also available upon request from the corresponding author via email (hkwon@sejong.ac.kr). | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | IWA PUBLISHING | en_US |
dc.subject | Bayesian quantile regression | en_US |
dc.subject | design rainfall | en_US |
dc.subject | distribution | en_US |
dc.subject | extreme rainfall | en_US |
dc.subject | nonstationarity | en_US |
dc.subject | uncertainty | en_US |
dc.title | Changes in extreme rainfall and its implications for design rainfall using a Bayesian quantile regression approach | en_US |
dc.type | Article | en_US |
dc.relation.no | 4 | - |
dc.relation.volume | 51 | - |
dc.identifier.doi | 10.2166/nh.2020.003 | - |
dc.relation.page | 699-719 | - |
dc.relation.journal | HYDROLOGY RESEARCH | - |
dc.contributor.googleauthor | Uranchimeg, Sumiya | - |
dc.contributor.googleauthor | Kwon, Hyun-Han | - |
dc.contributor.googleauthor | Kim, Byungsik | - |
dc.contributor.googleauthor | Kim, Tae-Woong | - |
dc.relation.code | 2020049022 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF ENGINEERING SCIENCES[E] | - |
dc.sector.department | DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING | - |
dc.identifier.pid | twkim72 | - |
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