Lifting scheme for streamflow data in river networks
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, Seoncheol | - |
dc.contributor.author | Oh, Hee-Seok | - |
dc.date.accessioned | 2023-08-16T07:48:59Z | - |
dc.date.available | 2023-08-16T07:48:59Z | - |
dc.date.created | 2023-07-21 | - |
dc.date.issued | 2022-03 | - |
dc.identifier.issn | 0035-9254 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/189140 | - |
dc.description.abstract | This paper presents a new multiscale method for analysing water pollutant data located in river networks. The main idea of the proposed method is to adapt the conventional lifting scheme, reflecting the characteristics of streamflow data in the river network domain. Due to the complexity of the data domain structure, it is difficult to apply the lifting scheme to the streamflow data directly. To solve this problem, we propose a new lifting scheme algorithm for streamflow data that incorporates flow-adaptive neighbourhood selection, flow proportional weight generation and flow-length adaptive removal point selection. A nondecimated version of the proposed lifting scheme is also provided. The simulation study demonstrates that the proposed method successfully performs a multiscale analysis of streamflow data. Furthermore, we provide a real data analysis of water pollutant data observed on the Geum-River basin compared to the existing smoothing method. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | WILEY | - |
dc.title | Lifting scheme for streamflow data in river networks | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Park, Seoncheol | - |
dc.identifier.doi | 10.1111/rssc.12542 | - |
dc.identifier.wosid | 000756790100001 | - |
dc.identifier.bibliographicCitation | JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, v.71, no.2, pp.467 - 490 | - |
dc.relation.isPartOf | JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS | - |
dc.citation.title | JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS | - |
dc.citation.volume | 71 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 467 | - |
dc.citation.endPage | 490 | - |
dc.type.rims | ART | - |
dc.type.docType | 정기학술지(Article(Perspective Article포함)) | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Mathematics | - |
dc.relation.journalWebOfScienceCategory | Statistics & Probability | - |
dc.subject.keywordPlus | SPATIAL STATISTICAL-MODELS | - |
dc.subject.keywordPlus | CONSTRUCTION | - |
dc.subject.keywordAuthor | lifting scheme | - |
dc.subject.keywordAuthor | river network | - |
dc.subject.keywordAuthor | smoothing | - |
dc.subject.keywordAuthor | spatial adaptation | - |
dc.subject.keywordAuthor | spatial modelling | - |
dc.subject.keywordAuthor | streamflow data | - |
dc.identifier.url | https://academic.oup.com/jrsssc/article/71/2/467/7033928 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.