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Multiscale relationships between monthly sediment load and pertinent factors in a typical karst mountainous watershed

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成果类型:
期刊论文
作者:
Zhu, Kunheng;Li, Zhenwei;Duan, Liangxia;Li, Yuanchen;Xu, Xianli
通讯作者:
Li, ZW
作者机构:
[Zhu, Kunheng; Li, Yuanchen; Duan, Liangxia] Hunan Agr Univ, Coll Resources & Environm, Changsha 410128, Peoples R China.
[Li, Zhenwei; Xu, Xianli] Chinese Acad Sci, Inst Subtrop Agr, Key Lab Agroecol Proc Subtrop Reg, Huanjiang Observat & Res Stn Karst Ecosyst, Changsha 410125, Peoples R China.
[Li, Zhenwei; Xu, Xianli] Guangxi Ind Technol Res Inst Karst Rocky Desertif, Nanning 530201, Peoples R China.
[Li, Zhenwei; Xu, Xianli] Guangxi Key Lab Karst Ecol Proc & Serv, Huanjiang 547100, Peoples R China.
通讯机构:
[Li, ZW ] C
Chinese Acad Sci, Inst Subtrop Agr, Key Lab Agroecol Proc Subtrop Reg, Huanjiang Observat & Res Stn Karst Ecosyst, Changsha 410125, Peoples R China.
语种:
英文
关键词:
Evapotranspiration;Forecasting;Multivariant analysis;Runoff;Sediment transport;Signal processing;Watersheds;Different time scale;Eco-hydrology;Empirical Mode Decomposition;Empirical mode decomposition method;Karst landform;Multi scale analysis;Multivariate empirical mode decomposition;Prediction modelling;Sediment loads;Soil erosion;Landforms;evapotranspiration;karst hydrology;mountain stream;potential evapotranspiration;sediment analysis;watershed;China;Wujiang Basin
期刊:
Journal of Hydrology
ISSN:
0022-1694
年:
2022
卷:
607
页码:
127474
基金类别:
This study was supported by the State Key Program of National Natural Science Foundation of China ( 41730748 ), National Natural Science Foundation of China ( 41977073 ), National Key Research and Development Program of China ( 2019YFE0116900 ), Guangxi Key Research and Development Program (AB20297004), Youth Innovation Promotion Association of CAS (2020359) and the Science and Technology Innovation Program of Hunan Province (2021RC3115).
机构署名:
本校为第一机构
院系归属:
资源环境学院
摘要:
At different time scales, the potential factors influencing changes in sediment transport vary. Because the processes of each impact factor overlaps on different time scales, it is challenging to evaluate the complex multi-scale relationships between monthly sediment load and its potential impact factors. The objective of this study was to investigate the scale-specific main factors influencing monthly sediment loads using the multivariate empirical mode decomposition (MEMD) method. Monthly sediment loads and five potential influencing factors ...

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