Meteorological drought migration characteristics based on an improved spatiotemporal structure approach in the Loess Plateau of China
文献类型：期刊论文
| 作者 | Nie, Mingqiu5; Huang, Shengzhi5; Duan, Weili1,6; Leng, Guoyong2; Bai, Ganggang4; Wang, Zhixia5; Huang, Qiang5; Fang, Wei5; Peng, Jian3 |
| 刊名 | SCIENCE OF THE TOTAL ENVIRONMENT
 |
| 出版日期 | 2024-02-20 |
| 卷号 | 912页码:13 |
| 关键词 | Spatiotemporal synchronism Meteorological drought Migration characteristics Dynamics |
| ISSN号 | 0048-9697 |
| DOI | 10.1016/j.scitotenv.2023.168813 |
| 通讯作者 | Huang, Shengzhi(huangshengzhi7788@126.com) |
| 英文摘要 | The development of drought has spatial and temporal synchronization. Previous studies usually explore the spatial and temporal evolution of drought separately. Moreover, existing approaches are based on a fixed overlapping area and do not consider the variable drought cluster area during development. This study proposes an improved and simple approach to derive dynamic overlapping area threshold for 3-dimensional droughts extraction. Based on the one monthly Nonparametric Standardized Precipitation Index (NSPI), this improved approach was applied for investigating the migration characteristics of meteorological drought events in the Loess Plateau of China. Then, Random Forest and Extreme Gradient Boosting model with Shapley additive explanation values were used to quantify the importance of driving factors on the dynamics of drought characteristics. The results showed that: (1) the improved approach has a better performance on identifying prolonged droughts than the method using a fixed overlap area threshold; (2) spatially, meteorological drought events with high severity (DS), long duration (DD), large effected area (DA) and fast migration velocity (DV) mainly occur in the central region; (3) temporally, droughts are expected to aggravate with significantly increased DS and DA which are mainly caused by increased temperature and vegetation; and (4) meteorological droughts have a preferred westward migration direction and three dominant migration paths, which are crucial for local drought prevention and control. The findings of this study provide new perspectives on drought migration characteristics, which are important for the exploration of drought-driven mechanisms, risk assessment and future prediction. |
| WOS关键词 | AREA-DURATION ANALYSIS ; HYDROLOGICAL DROUGHTS ; WATER CONSERVATION ; RISK-ASSESSMENT ; CLIMATE-CHANGE ; SOIL-MOISTURE ; PRECIPITATION ; IMPACT ; INDEX ; VARIABILITY |
| 资助项目 | National Key Research and Development Program of China[2022YFC3202303] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA28060100] ; National Natural Science Foundation of China[52279026] ; National Natural Science Foundation of China[52009100] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001133346900001 |
| 出版者 | ELSEVIER |
| 资助机构 | National Key Research and Development Program of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/201257]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Huang, Shengzhi |
| 作者单位 | 1.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 3.UFZ Helmholtz Ctr Environm Res, Dept Remote Sensing, Permoser str 15, Leipzig, Germany 4.Sichuang Univ, State Key Lab Hydraul & Mt River Engn, Chengdu 610065, Peoples R China 5.Xian Univ Technol, State Key Lab Ecohydraul Northwest Arid Reg China, Xian 710048, Peoples R China 6.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Nie, Mingqiu,Huang, Shengzhi,Duan, Weili,et al. Meteorological drought migration characteristics based on an improved spatiotemporal structure approach in the Loess Plateau of China[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2024,912:13. |
| APA | Nie, Mingqiu.,Huang, Shengzhi.,Duan, Weili.,Leng, Guoyong.,Bai, Ganggang.,...&Peng, Jian.(2024).Meteorological drought migration characteristics based on an improved spatiotemporal structure approach in the Loess Plateau of China.SCIENCE OF THE TOTAL ENVIRONMENT,912,13. |
| MLA | Nie, Mingqiu,et al."Meteorological drought migration characteristics based on an improved spatiotemporal structure approach in the Loess Plateau of China".SCIENCE OF THE TOTAL ENVIRONMENT 912(2024):13. |
入库方式： OAI收割
来源：地理科学与资源研究所
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