Watershed runoff modeling through a multi-time scale approach by multivariate empirical mode decomposition (MEMD)-Reference-Cited by-同舟云学术

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Watershed runoff modeling through a multi-time scale approach by multivariate empirical mode decomposition (MEMD)

Published:2021-08-10 Issue:2 Volume:29 Page:2819-2829
ISSN:0944-1344
Container-title:Environmental Science and Pollution Research
language:en
Short-container-title:Environ Sci Pollut Res

Author:

Zhang Hanyu,Liu Lin,Jiao Wei,Li Kai,Wang Lizhi,Liu Qianjin

Funder

National Natural Science Foundation of China

the Project of Introducing and Cultivating Young Talent in the Universities of Shandong Province

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s11356-021-13676-1.pdf

Reference67 articles.

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2. Bai L, Chen Z, Xu J, Li W (2016) Multi-scale response of runoff to climate fluctuation in the headwater region of Kaidu River in Xinjiang of China. Theor Appl Climatol 125:703–712

3. Chen X, Huang J, Han Z, Gao H, Liu M, Li Z, Liu X, Li Q, Qi H, Huang Y (2020) The importance of short lag-time in the runoff forecasting model based on long short-term memory. J Hydrol 589:125359

4. Chou CM, Wang RY (2004) Application of wavelet-based multi-model Kalman filters to real-time flood forecasting. Hydrol Process 18:987–1008

5. Cohen S, Kettner AJ, Syvitski JPM (2014) Global suspended sediment and water discharge dynamics between 1960 and 2010: continental trends and intra-basin sensitivity. Glob Planet Chang 115:44–58

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