Changwei Bian

Dr. Changwei Bian

orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 October 2013 in Journal of Geophysical Research: Oceans
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Journal Article
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CBChangwei Bian
Changwei Bian
WJWensheng Jiang
Wensheng Jiang
RGRichard J. Greatbatch
Richard J. Greatbatch
[1] A regional ocean circulation model (ROMS) is used to simulate the Chinese land-derived sediment transport in the Bohai Sea, Yellow Sea, and East China Sea (BYECS). The model includes the effect of currents, tides, and waves on the sediment transport and is used to study the pathway and dynamic mechanisms of the fine-grain sediment transport from the Huanghe River (Yellow River), the Old Huanghe Delta, and the Changjiang River (Yangtze River) in the BYECS. The seasonal variability of the sediment transport in the BYECS and the sources of the Yellow Sea Trough mud patch, the mud patch southwest of Cheju Island, the mud patch offshore from the Zhejiang and Fujian provinces and the Okinawa Trough mud patch are discussed. The results show that the Huanghe River sediment can be transported to the Yellow Sea Trough, but little makes it to the outer shelf while the Old Huanghe Delta sediment is mainly transported to the Yellow Sea Trough. Most of the sediment from the Changjiang River mouth is carried to the mud patch off the coast of the Zhejiang and Fujian provinces but with part of this sediment also transported to the Yellow Sea Trough. The model shows that it is difficult to transport land-derived sediment to the Okinawa Trough mud patch under normal conditions. The model also has difficulty accounting for the deposition of sediment in the region to the southwest of Cheju Island and offshore from the Zhejiang and Fujian provinces, an issue requiring further study.

6 July 2022 in Journal of Geophysical Research: Oceans
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Closed access
Xiaolei LiuXiaolei Liu
Xiaolei Liu
YLYang Lu
Yang Lu
HYHeyu Yu
Heyu Yu
LMLukuan Ma
Lukuan Ma
XLXingyu Li
Xingyu Li
CBChangwei Bian
Changwei Bian

15 November 2017 in Journal of Geophysical Research: Oceans
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ZZZhou Zhou
Zhou Zhou
CBChangwei Bian
Changwei Bian
CWChenghao Wang
Chenghao Wang
WJWensheng Jiang
Wensheng Jiang
RBRong Bi
Rong Bi

30 April 2018 in Journal of Geophysical Research: Oceans
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CBChangwei Bian
Changwei Bian
ZLZhiyu Liu
Zhiyu Liu
YHYongxiang Huang
Yongxiang Huang
LZLiang Zhao
Liang Zhao
WJWensheng Jiang
Wensheng Jiang
Several methods have been developed for the estimation of the turbulent Reynolds stress in wavy aquatic environment. They are based on different physical assumptions and often give discrepant results. It is practically difficult to quantify the uncertainties in these estimations. Using high‐resolution velocity measurements of acoustic Doppler velocimeter (ADV) from a coastal benthic layer subject to moderate wave influence (the ratio of rms wave orbital velocity to current magnitude was 0.23–0.92), this study tests a Synchrosqueezed Wavelet Transform (SWT)‐based method and three existing methods (i.e., the Coherence, Cospectra, and Ensemble Empirical Mode Decomposition [EEMD] methods) for wave‐turbulence decomposition. In particular, we evaluate the performance of different methods for objective estimation of the turbulent Reynolds stress. Power spectra and cospectra analysis is conducted to quantify the uncertainties in the estimations. The results suggest that the Coherence method tends to overestimate the Reynolds stress due to incomplete removal of wave motions from the observed velocity records; the Cospectra method performs poorly because the empirical model does not fit the observed cospectra well; both the EEMD and SWT methods underestimate the Reynolds stress, as they tend to attribute turbulent fluctuations at frequencies in the vicinity of the wave frequencies to wave motions. In general, the SWT method performs best inducing lowest uncertainty in the Reynolds stress estimation. For the data set analyzed in this study, the estimations with the Coherence, Cospectra, EEMD, and SWT methods account for 70%, 50%, 51%, and 60% of the total covariance of horizontal and vertical velocities, respectively.

15 March 2022 in Journal of Geophysical Research: Oceans
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GZGaibo Zhao
Gaibo Zhao
WJWensheng Jiang
Wensheng Jiang
TWTao Wang
Tao Wang
SCShuguo Chen
Shuguo Chen
CBChangwei Bian
Changwei Bian

20 June 2020 in Journal of Geophysical Research: Oceans
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CWChenghao Wang
Chenghao Wang
ZLZhiqiang Liu
Zhiqiang Liu
CHCourtney Harris
Courtney Harris
XWXiao Wu
Xiao Wu
HWHoujie Wang
Houjie Wang
JXJingping Xu
Jingping Xu
The Yellow River is one of the most significant sources of terrestrial sediment to the global seas, and the Bohai Strait is the only pathway that delivers Yellow River‐derived sediments from the shallow Bohai Sea to the Yellow Sea. To investigate sediment transport processes through the strait under the influence of storms (strong northerly winds) that frequently occur in winter, we deployed two sets of observing platforms equipped with Acoustic Doppler Current Profilers (ADCP) and a suite of other sensors in the strait in January 2018. Aided by a system of high‐resolution models, we reconstructed sediment dynamics in response to the strong northerly wind of a winter storm. Model results show that the instantaneous suspended sediment flux (SSF) is highly aligned with tidal currents, while the net sediment flux has a clear dependence on variations in exchange flow and sediment resuspension. Enhanced coastal currents, intensified wave motions, and higher suspended sediment concentrations indicate that the through‐strait sediment flux during outflows is greater than during inflow conditions. Such SSF asymmetries are believed responsible for the net sediment export through the Bohai Strait in wintertime. Diagnostic analyses provided insights into the dynamic mechanisms of exchange flow variations influenced by both the strong northerly winds and the wind‐triggered coastal trapped waves in the shallow, narrow strait via geostrophic effects. This study highlights the importance of storm‐induced horizontal exchange processes in a coupled bay‐shelf system.