Nonstationary analysis of water and sediment in the Jinsha River Basin based on GAMLSS model-Reference-Cited by-同舟云学术

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Nonstationary analysis of water and sediment in the Jinsha River Basin based on GAMLSS model

Published:2023-08-18 Issue:12 Volume:37 Page:4765-4781
ISSN:1436-3240
Container-title:Stochastic Environmental Research and Risk Assessment
language:en
Short-container-title:Stoch Environ Res Risk Assess

Author:

Jin Haoyu,Zhong Ruida,Liu Moyang,Ye Changxin,Chen Xiaohong

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Environmental Chemistry,Environmental Engineering

Link

https://link.springer.com/content/pdf/10.1007/s00477-023-02540-y.pdf

Reference53 articles.

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2. Bertoni D, Sarti G, Benelli G, Pozzebon A, Raguseo G (2010) Radio Frequency Identification (RFID) technology applied to the definition of underwater and subaerial coarse sediment movement. Sediment Geol 228:140–150. https://doi.org/10.1016/j.sedgeo.2010.04.007

3. Biondo M, Bartholomä A (2017) A multivariate analytical method to characterize sediment attributes from high-frequency acoustic backscatter and ground-truthing data (Jade Bay, German North Sea coast). Cont Shelf Res 138:65–80. https://doi.org/10.1016/j.csr.2016.12.011

4. Brandt O, Langley K, Kohler J, Hamran S-E (2007) Detection of buried ice and sediment layers in permafrost using multi-frequency Ground Penetrating Radar: a case examination on Svalbard. Remote Sens Environ 111:212–227. https://doi.org/10.1016/j.rse.2007.03.025

5. Chang J, Li Y, Wei J, Wang Y, Guo A (2016) Dynamic changes of sediment load and water discharge in the Weihe River, China. Environ Earth Sci 75:1042. https://doi.org/10.1007/s12665-016-5841-9

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