An improved machine learning-based model to predict estuarine water levels

Autor: Gan, Min, Chen, Yongping, Pan, Shunqi, Lai, Xijun, Pan, Haidong, Wen, Yuncheng, Xia, Mingyan

Publikováno v: In Ocean Modelling August 2024 190

Study on the spatiotemporal variation of the Yangtze estuarine tidal species

Autor: Gan, Min, Chen, Yongping, Pan, Haidong, Pan, Shunqi, Lai, Xijun, Wen, Yuncheng, Xia, Mingyan, Zhang, Yinghao

Publikováno v: In Estuarine, Coastal and Shelf Science March 2024 298

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Quantitative relationship between channels and bars in a tidal reach of the lower Yangtze River

Autor: Yang, Yunping, Zheng, Jinhai, Zhang, Wei, Zhu, Yude, Chai, Yuanfang, Wang, Jianjun, Wen, Yuncheng

Publikováno v: Journal of Geographical Sciences, 31(12), 1837-1851. Science in China Press
Yang, Y, Zheng, J, Zhang, W, Zhu, Y, Chai, Y, Wang, J & Wen, Y 2021, ' Quantitative relationship between channels and bars in a tidal reach of the lower Yangtze River : Implications for river management ', Journal of Geographical Sciences, vol. 31, no. 12, pp. 1837-1851 . https://doi.org/10.1007/s11442-021-1925-x

Deep-water navigation channels in the tidal reaches of the lower Yangtze River are affected by water and sediment fluxes that produce complex shoals and unstable channel conditions. The Fujiangsha reach is particularly difficult to manage, as it has

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55a8d7df0077e3ebae85c7da70277df4
https://research.vu.nl/en/publications/ad288573-5c13-476b-8c9a-63f765847c77

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