Knowledge Resource Center for Ecological Environment in Arid Area
| DOI | 10.1016/j.jhydrol.2021.126174 |
| Discrepancy precipitation index for monitoring meteorological drought | |
| Tayfur, Gokmen | |
| 通讯作者 | Tayfur, G (corresponding author), Izmir Inst Technol, Dept Civil Engn, TR-35430 Izmir, Turkey. |
| 来源期刊 | JOURNAL OF HYDROLOGY
 |
| ISSN | 0022-1694 |
| EISSN | 1879-2707 |
| 出版年 | 2021 |
| 卷号 | 597 |
| 英文摘要 | Widely employed precipitation drought indices, one way or another, impose probability distribution functions to the data when performing the drought analysis. This may be a plausible approach when the data do not have strong discrepancy which can impede the distribution. The precipitation data in semi-arid and especially in arid regions do have a strong discrepancy due to the sporadic rainfall occurring in such regions. Therefore, in the analysis of the drought for such regions, imposing any probability distribution function to the data could be futile. This study hence developed a new drought index called the Discrepancy Precipitation Index (DPI) for assessing and monitoring the meteorological drought. The method does not impose any probability distribution on the precipitation data. The method is based on the discrepancy of the data with respect to the mean value. The drought classifications are proposed based on the D-score values. Its drought classification ranges are straightforward as those of the Standard Precipitation Index (SPI). The method is applied to assess the meteorological drought at several stations located at different climatic regions such as the arid climate (Mauritania), semi-arid climate (Afghanistan) and the Mediterranean climate (Turkey). The results reveal that the DPI is more representative drought assessment tool for the arid climate regions. At semi-arid climate regions, the DPI can be an alternative drought index to the widely employed (the log-SPI and/or the gamma-SPI) indices. For the Mediterranean climate regions, the DPI can be used together with the other indices. The Discrepancy Measure (DM) is introduced to assess the strength of the discrepancy of the precipitation data series. As the DM of a precipitation series increases, the DPI captures more historical droughts. |
| 英文关键词 | Drought Discrepancy precipitation index D-score Discrepancy measure Arid climate Semi-arid region Mediterranean climate Log-SPI Gamma-SPI |
| 类型 | Article |
| 语种 | 英语 |
| 收录类别 | SCI-E |
| WOS记录号 | WOS:000652835600056 |
| WOS关键词 | SEVERITY ; BASIN |
| WOS类目 | Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources |
| WOS研究方向 | Engineering ; Geology ; Water Resources |
| 资源类型 | 期刊论文 |
| 条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/350894 |
| 作者单位 | [Tayfur, Gokmen] Izmir Inst Technol, Dept Civil Engn, TR-35430 Izmir, Turkey |
| 推荐引用方式 GB/T 7714 | Tayfur, Gokmen. Discrepancy precipitation index for monitoring meteorological drought[J],2021,597. |
| APA | Tayfur, Gokmen.(2021).Discrepancy precipitation index for monitoring meteorological drought.JOURNAL OF HYDROLOGY,597. |
| MLA | Tayfur, Gokmen."Discrepancy precipitation index for monitoring meteorological drought".JOURNAL OF HYDROLOGY 597(2021). |
| 条目包含的文件 | 条目无相关文件。 | |||||
| 个性服务 |
| 推荐该条目 |
| 保存到收藏夹 |
| 导出为Endnote文件 |
| 谷歌学术 |
| 谷歌学术中相似的文章 |
| [Tayfur, Gokmen]的文章 |
| 百度学术 |
| 百度学术中相似的文章 |
| [Tayfur, Gokmen]的文章 |
| 必应学术 |
| 必应学术中相似的文章 |
| [Tayfur, Gokmen]的文章 |
| 相关权益政策 |
| 暂无数据 |
| 收藏/分享 |
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
