Quantitative Risk Analysis of Debris Flow Disasters in Urban Area Using Geographic Information System.
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| Title: | Quantitative Risk Analysis of Debris Flow Disasters in Urban Area Using Geographic Information System. |
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| Authors: | Mi-Ran Lee1, Jae-Myoung Cho2, jmcho@songwon.ac.kr, Hong-Sic Yoon3 |
| Source: | Sensors & Materials; 2020, Vol. 32 Issue 12, Part 4, p4573-4586, 14p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 148176363 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Quantitative Risk Analysis of Debris Flow Disasters in Urban Area Using Geographic Information System. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Mi-Ran+Lee%22">Mi-Ran Lee</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Jae-Myoung+Cho%22">Jae-Myoung Cho</searchLink><relatesTo>2</relatesTo>, <i>jmcho@songwon.ac.kr</i><br /><searchLink fieldCode="AU" term="%22Hong-Sic+Yoon%22">Hong-Sic Yoon</searchLink><relatesTo>3</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Sensors+%26+Materials%22">Sensors & Materials</searchLink>; 2020, Vol. 32 Issue 12, Part 4, p4573-4586, 14p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=148176363 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.18494/SAM.2020.3134 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 4573 Titles: – TitleFull: Quantitative Risk Analysis of Debris Flow Disasters in Urban Area Using Geographic Information System. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mi-Ran Lee – PersonEntity: Name: NameFull: Jae-Myoung Cho – PersonEntity: Name: NameFull: Hong-Sic Yoon IsPartOfRelationships: – BibEntity: Dates: – D: 29 M: 12 Text: 2020 Type: published Y: 2020 Identifiers: – Type: issn-print Value: 09144935 Numbering: – Type: volume Value: 32 – Type: issue Value: 12, Part 4 Titles: – TitleFull: Sensors & Materials Type: main |
| ResultId | 1 |