Quantifying the Infiltration Capacity of High-Turbidity Rivers Under the Conditions of Fine Particle Clogging and Resuspension-Reference-Cited by-同舟云学术

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Quantifying the Infiltration Capacity of High-Turbidity Rivers Under the Conditions of Fine Particle Clogging and Resuspension

Published:2024-01-18 Issue:4 Volume:38 Page:1437-1451
ISSN:0920-4741
Container-title:Water Resources Management
language:en
Short-container-title:Water Resour Manage

Author:

Liu Congmin^ORCID,Pan Chengzhong

Funder

Innovation Fund Project of the Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology

China National Science and Technology Major Project of Water Pollution Control and Treatment

the National Natural Science Foundation of China Project

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11269-023-03729-0.pdf

Reference30 articles.

1. Anh DT, Tanim AH, Kushwaha DP, Pham QB, Bui V (2023) Deep learning long short-term memory combined with discrete element method for porosity prediction in gravel-bed rivers. Int J Sedim Res 38(1):128–140. https://doi.org/10.1016/j.ijsrc.2022.08.001

2. Bendaoud AM, Haddou KA, Taleb AM, Belaidi NO (2021) Assessment of subsurface riverbed clogging by fine sediments in a semi-arid catchment of north-western Algeria. Afr J Aquat Sci 46(1):54–66. https://doi.org/10.2989/16085914.2020.1719814

3. Coulon A, Cannavo P, Charpentier S, Vidal-Beaudet L (2015) Clogging-up of a stormwater infiltration basin: a laboratory approach using image analysis. J Soils Sediments 15(8):1738–1752. https://doi.org/10.1007/s11368-014-0951-z

4. D’Aniello A, Cimorelli L, Cozzolino L (2019) The influence of soil stochastic heterogeneity and facility dimensions on stormwater infiltration facilities performance (vol 231, pg 559, 2019). Water Resour Manag 33(13):4667–4668. https://doi.org/10.1007/s11269-019-02394-6

5. Du X, Fang Y, Wang Z, Hou J, Ye X (2014) The Prediction Methods for Potential Suspended Solids Clogging Types during Managed Aquifer Recharge. Water 6(4):961–975. https://doi.org/10.3390/w6040961

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