Multivariate Drought Assessment Considering the Antecedent Drought Conditions
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Waseem, Muhammad | - |
dc.contributor.author | Ajmal, Muhammad | - |
dc.contributor.author | Lee, Joo Heon | - |
dc.contributor.author | Kim, Tae-Woong | - |
dc.date.accessioned | 2021-06-22T16:22:16Z | - |
dc.date.available | 2021-06-22T16:22:16Z | - |
dc.date.created | 2021-01-21 | - |
dc.date.issued | 2016-09 | - |
dc.identifier.issn | 0920-4741 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/13070 | - |
dc.description.abstract | Several drought indices have been developed based on a single variable or multiple variables using very complex calculations. Antecedent conditions are quite significant for analyzing physical processes involved in the conceptual rainfall-runoff modeling and for proper assessment of drought. However, not much attention has been paid to these conditions in the development of drought indices. Hence, we developed an alternative index for drought assessment, i.e., the antecedent condition-based multivariate drought index (AMDI), by taking into consideration all of the forms of drought, including meteorological, agricultural, and hydrological drought, in combination with the antecedent drought conditions. By comparing the AMDI with the standardized precipitation index (SPI) and reconnaissance drought index (RDI), it was revealed that in most cases, the drought trend was more or less the same. However, some discrepancies were also observed. Moreover, by considering additional factors, i.e., the antecedent soil moisture conditions and balance, an approximately 6 % difference in the drought frequency was observed compared to that of the SPI and RDI results, leading to a significant and proper drought assessment. The AMDI was also identified as a multi-scalar, multivariate index, which aggregates the effects of multiple drought forms by maintaining the continuity during month-to-month transitions. Hence, we concluded that the AMDI could be considered as an alternative tool for significant drought assessment. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Kluwer Academic Publishers | - |
dc.title | Multivariate Drought Assessment Considering the Antecedent Drought Conditions | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Tae-Woong | - |
dc.identifier.doi | 10.1007/s11269-016-1416-5 | - |
dc.identifier.scopusid | 2-s2.0-84976485012 | - |
dc.identifier.wosid | 000381377700011 | - |
dc.identifier.bibliographicCitation | Water Resources Management, v.30, no.12, pp.4221 - 4231 | - |
dc.relation.isPartOf | Water Resources Management | - |
dc.citation.title | Water Resources Management | - |
dc.citation.volume | 30 | - |
dc.citation.number | 12 | - |
dc.citation.startPage | 4221 | - |
dc.citation.endPage | 4231 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Water Resources | - |
dc.relation.journalWebOfScienceCategory | Engineering, Civil | - |
dc.relation.journalWebOfScienceCategory | Water Resources | - |
dc.subject.keywordPlus | INDEX RDI | - |
dc.subject.keywordPlus | EVAPOTRANSPIRATION | - |
dc.subject.keywordPlus | PRECIPITATION | - |
dc.subject.keywordPlus | MOISTURE | - |
dc.subject.keywordPlus | MODELS | - |
dc.subject.keywordAuthor | Antecedent condition | - |
dc.subject.keywordAuthor | Drought | - |
dc.subject.keywordAuthor | Multivariate index | - |
dc.subject.keywordAuthor | Soil-water balance | - |
dc.identifier.url | https://link.springer.com/article/10.1007/s11269-016-1416-5 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
55 Hanyangdeahak-ro, Sangnok-gu, Ansan, Gyeonggi-do, 15588, Korea+82-31-400-4269 sweetbrain@hanyang.ac.kr
COPYRIGHT © 2021 HANYANG UNIVERSITY. ALL RIGHTS RESERVED.
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.