Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/rs16050780 |
A New Evapotranspiration-Based Drought Index for Flash Drought Identification and Monitoring | |
Li, Peng; Jia, Li; Lu, Jing; Jiang, Min; Zheng, Chaolei | |
通讯作者 | Jia, L |
来源期刊 | REMOTE SENSING
![]() |
EISSN | 2072-4292 |
出版年 | 2024 |
卷号 | 16期号:5 |
英文摘要 | Flash droughts, a type of extreme event characterized by the sudden onset and rapid intensification of drought conditions with severe impacts on ecosystems, have become more frequent in recent years due to global warming. The drought index is an effective way to monitor drought and mitigate its negative impact on human production and life. This study presents a new flash drought identification and monitoring method based on the evapotranspiration-based drought index, i.e., the evaporative stress percentile (ESP). This ESP-based method considers both the rate of the rapid intensification and each phase of flash drought development, which allows it to be used quantitative assessment of flash drought characteristics including detailed information on the onset, development, termination, and intensity. The ESP is evaluated using the soil moisture percentile (SMP) derived from the GLDAS-Noah soil moisture data. The results show that there was good agreement between the ESP and SMP across most of China, with correlation coefficient values above 0.8 and MAE values below 10 percentile/week. The ESP was then used to identify flash droughts in China and compared with the Precipitation Anomaly Percentage (PAP) and the SMP for three cases of typical flash drought events in three different regions and years with different land covers. It demonstrates the robustness of the ESP for detecting flash droughts in different geographical regions, for different land cover types, and for different climatic characteristics. This method is applied to characterize historical flash droughts in 1979-2018 in China, and the results show that flash droughts in China occur most frequently in the transitional climate zone between humid and arid regions in Northern China. This study contributes to a better understanding of flash drought development and supports to decision-makers in providing early warnings for flash droughts. |
英文关键词 | flash drought evapotranspiration-based drought index evaporative stress percentile drought monitoring |
类型 | Article |
语种 | 英语 |
开放获取类型 | gold |
收录类别 | SCI-E |
WOS记录号 | WOS:001182951100001 |
WOS关键词 | SHORT-TERM DROUGHTS ; PRECIPITATION DEFICIT ; EVAPORATIVE DEMAND ; RIVER-BASIN ; ONSET ; RECONSTRUCTION ; METHODOLOGY ; SENSITIVITY ; MICROWAVE |
WOS类目 | Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/405283 |
推荐引用方式 GB/T 7714 | Li, Peng,Jia, Li,Lu, Jing,et al. A New Evapotranspiration-Based Drought Index for Flash Drought Identification and Monitoring[J],2024,16(5). |
APA | Li, Peng,Jia, Li,Lu, Jing,Jiang, Min,&Zheng, Chaolei.(2024).A New Evapotranspiration-Based Drought Index for Flash Drought Identification and Monitoring.REMOTE SENSING,16(5). |
MLA | Li, Peng,et al."A New Evapotranspiration-Based Drought Index for Flash Drought Identification and Monitoring".REMOTE SENSING 16.5(2024). |
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 |
[Li, Peng]的文章 |
[Jia, Li]的文章 |
[Lu, Jing]的文章 |
百度学术 |
百度学术中相似的文章 |
[Li, Peng]的文章 |
[Jia, Li]的文章 |
[Lu, Jing]的文章 |
必应学术 |
必应学术中相似的文章 |
[Li, Peng]的文章 |
[Jia, Li]的文章 |
[Lu, Jing]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。