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Improvement of the sediment flux estimation in the Yangtze River Estuary with a GOCI data adjusted numerical model
Xie, Guohu1,2; Zhang, Yang2,3; Liu, Jia2,4,5; Xue, Huijie6; Ge, Jianzhong7; He, Xianqiang2; Ma, Wentao3; Chai, Fei1,6
作者部门光谱成像技术研究室
2023-12
发表期刊Ocean Modelling
ISSN14635003
卷号186
产权排序4
摘要

Sediment flux (SF) in the estuary is vital to the coastal and estuarine environment, especially the morphodynamical and ecological processes. However, its quantitative estimation with high accuracy is difficult because it is controlled by complex mechanisms and multiple processes. This study corrects the seasonal variations of the simulated suspended sediment concentration (SSC) by using GOCI-derived surface SSC and calculates the variations of SFs at the main cross-sections in and out of the Yangtze River Estuary (YRE). The results show that in 2013, 159 Mt and 143 Mt of sediments passed through Xuliujing hydrological station in YRE and estuarine mouth section, respectively. In the inner estuary, the significant seasonal variations of sediment transport are noted that the most seaward transport happens in summer (43.8%) and the least occurs in winter (7.3%). In the outer estuary, the southward transport towards Hangzhou Bay is the most critical pathway, accounting for 109.0% of total transport at mouth section, and is prevalent in autumn and winter. With considerations of sand mining and land reclamation, obviously erosions appear in the whole estuary during both 2013 and 2015. With stronger wind conditions in 2013, severer erosion (161 Mt) happens in outer estuary than that in 2015 (86 Mt). By combining the GOCI-derived surface SSC and the numerical model results, this study can better represent high-frequency hydro- and sediment-dynamical processes to calculate the annual, seasonal, and vertical SFs with improved accuracy. Hence this method may provide a viable way to infer locally averaged morphological changes. © 2023

关键词Sediment flux Yangtze River Estuary Geostationary Ocean Color Imager (GOCI) Numerical model Morphology
DOI10.1016/j.ocemod.2023.102284
收录类别SCI ; EI
语种英语
WOS记录号WOS:001108274500001
出版者Elsevier Ltd
EI入藏号20234515022076
引用统计
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/96883
专题光谱成像技术研究室
通讯作者Zhang, Yang
作者单位1.Ocean College, Zhejiang University, Zhoushan; 316021, China;
2.State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou; 310012, China;
3.Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai; 519080, China;
4.Key Laboratory of Spectral Imaging Technology, Xi'an Institute of Optics and Precision Mechanics of Chinese Academy of Sciences, Xi'an; 710119, China;
5.The University of Chinese Academy of Sciences, Beijing, 100049, China;
6.State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen; 361102, China;
7.State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, 200241, China
推荐引用方式
GB/T 7714
Xie, Guohu,Zhang, Yang,Liu, Jia,et al. Improvement of the sediment flux estimation in the Yangtze River Estuary with a GOCI data adjusted numerical model[J]. Ocean Modelling,2023,186.
APA Xie, Guohu.,Zhang, Yang.,Liu, Jia.,Xue, Huijie.,Ge, Jianzhong.,...&Chai, Fei.(2023).Improvement of the sediment flux estimation in the Yangtze River Estuary with a GOCI data adjusted numerical model.Ocean Modelling,186.
MLA Xie, Guohu,et al."Improvement of the sediment flux estimation in the Yangtze River Estuary with a GOCI data adjusted numerical model".Ocean Modelling 186(2023).
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