Estimation of the optimal wind factor of drifting objects from field experiments
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 최정운 | - |
dc.contributor.author | 최진용 | - |
dc.contributor.author | 권재일 | - |
dc.date.accessioned | 2020-07-15T15:52:36Z | - |
dc.date.available | 2020-07-15T15:52:36Z | - |
dc.date.created | 2020-02-11 | - |
dc.date.issued | 2017-04-26 | - |
dc.identifier.uri | https://sciwatch.kiost.ac.kr/handle/2020.kiost/24030 | - |
dc.description.abstract | Particle tracking models (PTM) are used to calculate the trajectory of drifting objects for search and rescue in case of marine accidents. During marine accidents, the rescue team needs to predict a possible path of the objects in the ocean to implement an effective plan of dealing with the rescue. In this study, we try to improve the accuracy of PTM throughout a series of field experiments. Field experiments were conducted using drift buoys and mannequin with/without life jacket. The drift buoys and mannequin were designed to be easily influenced by wind and currentin the sea. to implement an effective plan of dealing with the rescue. In this study, we try to improve the accuracy of PTM throughout a series of field experiments. Field experiments were conducted using drift buoys and mannequin with/without life jacket. The drift buoys and mannequin were designed to be easily influenced by wind and currentin the sea. | - |
dc.description.uri | 1 | - |
dc.language | English | - |
dc.publisher | European Geosciences Union | - |
dc.relation.isPartOf | EGU General Assembly 2017 | - |
dc.title | Estimation of the optimal wind factor of drifting objects from field experiments | - |
dc.type | Conference | - |
dc.citation.endPage | 1 | - |
dc.citation.startPage | 1 | - |
dc.citation.title | EGU General Assembly 2017 | - |
dc.contributor.alternativeName | 최정운 | - |
dc.contributor.alternativeName | 최진용 | - |
dc.contributor.alternativeName | 권재일 | - |
dc.identifier.bibliographicCitation | EGU General Assembly 2017, pp.1 | - |
dc.description.journalClass | 1 | - |