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Contrasting characteristics and drivers of dry and warm snow droughts in China 's largest inland river basin

文献类型：期刊论文

作者Wang, Zhixia15; Huang, Shengzhi1,15; Singh, Vijay P.12,13,14; Mu, Zhenxia10,11; Leng, Guoyong9; Li, Ji9; Duan, Weili7,8; Ling, Hongbo8; Xu, Jia6; Nie, Mingqiu5
刊名JOURNAL OF HYDROLOGY-REGIONAL STUDIES
出版日期2024-06-01
卷号53页码:25
关键词Dry-type and warm-type snow droughts Snow drought characteristics and dynamics Optimal parameters-based geographical detec-tor model Random forest Ocean-atmosphere couplings strength
DOI10.1016/j.ejrh.2024.101751
英文摘要Study region: The largest inland river basin in China (the Tarim River Basin) Study focus: This study introduces a novel classification scheme for dry and warm snow droughts with focus on their duration, severity, and intensity. The Nonparametric Standardized SWE Index (NSWEI) and the Standardized Precipitation Index (SPI) were employed to assess these drought types. The optimal parameters-based geographical detector (OPGD) model and machine learning (including random forest model and Shapley-XGBoost algorithm) were applied to reveal the spatial and time dynamic driving forces of droughts. New hydrological insights for the regions: Results indicated that warm-type droughts occurred more frequently and with greater intensity, exhibiting a larger spatial coverage compared to dry -type droughts, which can be attributed to warm-type droughts dominated by temperature and vapor pressure deficit, whereas dry -type are predominantly influenced by relative humidity and solar radiation. Moreover, the dynamics of snow droughts exhibited a contrasting pattern between the south (experiencing an upward trend) and the north (experiencing a descending trend). In the south, dry -type droughts were exacerbated by the strength of North Pacific Oscillation (PDO)precipitation coupling, while warm -type droughts are influenced by the strength of North Atlantic Oscillation (NAO)-precipitation coupling and El Nin o Southern Oscillation (ENSO)-precipitation.
WOS关键词CLIMATE-CHANGE ; FLOWS
资助项目Key Research and Development Program of Xinjiang Uygur Autonomous Region[2022B03024-4] ; National Natural Science Foundation of China[52279026] ; National Natural Science Foundation of China[51969029] ; National Natural Science Foundation of China[52269007] ; Natural Science Basic Research Program of Shaanxi Province[2022JC-LHJJ-05] ; Natural Science Basic Research Program of Shaanxi Province[2023JC-XJ-19] ; National Key Research and Development Program of China[2021YFC3000203] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA28060100] ; Doctoral Dissertation Innovation Funding of Xi'an University of Technology[310-252072212]
WOS研究方向Water Resources
语种英语
WOS记录号WOS:001221773600001
出版者ELSEVIER
资助机构Key Research and Development Program of Xinjiang Uygur Autonomous Region ; National Natural Science Foundation of China ; Natural Science Basic Research Program of Shaanxi Province ; National Key Research and Development Program of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Doctoral Dissertation Innovation Funding of Xi'an University of Technology
源URL[http://ir.igsnrr.ac.cn/handle/311030/205783]  
专题陆地水循环及地表过程院重点实验室_外文论文
通讯作者Huang, Shengzhi
作者单位1.Xian Univ Technol, State Key Lab Eco Hydraul Northwest Arid Reg China, Xian 710048, Peoples R China
2.Univ Leipzig, Remote Sensing Ctr Earth Syst Res, Leipzig, Germany
3.UFZ Helmholtz Ctr Environm Res, Dept Remote Sensing, Leipzig, Germany
4.Engn Res Ctr Water Resources & Ecol Water Conserva, Urumqi 830011, Peoples R China
5.Hohai Univ, CMA HHU Joint Lab Hydrometeorol Studies, Nanjing 210098, Peoples R China
6.Yellow River Survey Planning Design & Res Inst Co, Zhengzhou 450003, Henan, Peoples R China
7.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
8.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China
9.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
10.Xinjiang Key Lab Hydraul Engn Secur & Water Disast, Urumqi 830052, Xinjiang, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Zhixia,Huang, Shengzhi,Singh, Vijay P.,et al. Contrasting characteristics and drivers of dry and warm snow droughts in China 's largest inland river basin[J]. JOURNAL OF HYDROLOGY-REGIONAL STUDIES,2024,53:25.
APA Wang, Zhixia.,Huang, Shengzhi.,Singh, Vijay P..,Mu, Zhenxia.,Leng, Guoyong.,...&Peng, Jian.(2024).Contrasting characteristics and drivers of dry and warm snow droughts in China 's largest inland river basin.JOURNAL OF HYDROLOGY-REGIONAL STUDIES,53,25.
MLA Wang, Zhixia,et al."Contrasting characteristics and drivers of dry and warm snow droughts in China 's largest inland river basin".JOURNAL OF HYDROLOGY-REGIONAL STUDIES 53(2024):25.

入库方式： OAI收割

来源：地理科学与资源研究所

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