Association and driving factors of meteorological drought and agricultural drought in Ningxia, Northwest China
文献类型：期刊论文
| 作者 | Yang, Peng2,5; Zhai, Xiaoyan1; Huang, Heqing2; Zhang, Yongyong3; Zhu, Yanchao2; Shi, Xiaorui2; Zhou, Libo4; Fu, Cai4 |
| 刊名 | ATMOSPHERIC RESEARCH
 |
| 出版日期 | 2023-07-01 |
| 卷号 | 289页码:10 |
| ISSN号 | 0169-8095 |
| 关键词 | Climate Change Droughts ASWI Northwest China |
| DOI | 10.1016/j.atmosres.2023.106753 |
| 通讯作者 | Zhai, Xiaoyan(zhaixy@iwhr.com) |
| 英文摘要 | Under global warming, drought problems have become increasingly prominent, which has seriously affected the ecological environment's protection and social and economic development at global and regional scales. Ningxia is an arid region in northwest China with serious water problems, and droughts further exacerbate its water security and hinder ecological and socio-economic development. Therefore, this study explored the temporal and spatial distribution characteristics of meteorological and agricultural droughts and their driving factors in Ningxia during 2002-2021 by combining wavelet analysis and grey relational analysis. The main conclusions are as follows: (1) precipitation, soil moisture (SM), and evapotranspiration (ET) in Ningxia increased significantly, while the main meteorological drought events in Ningxia appeared around 2006, 2011, and 2015, and the agricultural drought first became stronger and then weaker; (2) precipitation and ET were correlated with meteorological drought in Ningxia, with a coefficient above 0.8, while the correlation between agricultural drought and precipitation, ET, and gross primary production (GPP) were very significant; and (3) precipitation, ET, and GPP were not all included in the drivers of meteorological drought in Ningxia, whereas agricultural drought had a grey correlation with precipitation, ET, and GPP according to the grey relational analysis. This study is of great significance for revealing the spatiotemporal characteristics and driving factors of drought in Ningxia as well as the early warning and risk management. |
| WOS关键词 | GROSS PRIMARY PRODUCTION ; INDEX ; VEGETATION ; CLIMATE |
| 资助项目 | National Natural Science Foundation of China[42171047] ; National Natural Science Foundation of China[42207078] ; Joint Open Research Fund Program of State key Laboratory of Hydro-science and Engineering and Tsinghua - Ningxia Yinchuan Joint Insti-tute of Internet of Waters on Digital Water Governance[sklhse-2022-low04] |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| 出版者 | ELSEVIER SCIENCE INC |
| WOS记录号 | WOS:000984815400001 |
| 资助机构 | National Natural Science Foundation of China ; Joint Open Research Fund Program of State key Laboratory of Hydro-science and Engineering and Tsinghua - Ningxia Yinchuan Joint Insti-tute of Internet of Waters on Digital Water Governance |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/197206]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhai, Xiaoyan |
| 作者单位 | 1.China Inst Water Resources & Hydropower Res, Res Ctr Flood & Drought Disaster Reduct, Beijing 100038, Peoples R China 2.China Univ Geosci, Sch Geog & Informat Engn, Hubei Key Lab Reg Ecol & Environm Change, Wuhan 430074, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 4.Wuhan C Geo Clouds Sci & Tech Co Ltd, Wuhan 430073, Peoples R China 5.China Univ Geosci, Natl Engn Res Ctr Geog Informat Syst, Wuhan 430074, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yang, Peng,Zhai, Xiaoyan,Huang, Heqing,et al. Association and driving factors of meteorological drought and agricultural drought in Ningxia, Northwest China[J]. ATMOSPHERIC RESEARCH,2023,289:10. |
| APA | Yang, Peng.,Zhai, Xiaoyan.,Huang, Heqing.,Zhang, Yongyong.,Zhu, Yanchao.,...&Fu, Cai.(2023).Association and driving factors of meteorological drought and agricultural drought in Ningxia, Northwest China.ATMOSPHERIC RESEARCH,289,10. |
| MLA | Yang, Peng,et al."Association and driving factors of meteorological drought and agricultural drought in Ningxia, Northwest China".ATMOSPHERIC RESEARCH 289(2023):10. |
入库方式： OAI收割
来源：地理科学与资源研究所
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