Analysis of Downstream Sediment Transport Trends Based on In Situ Data and Numerical Simulation

This study conducted an in-depth analysis of the sediment dynamics in the lower reaches of the Changhua River and its estuary on Hainan Island. Through field collection of topographic data and sediment sampling, combined with advanced computational techniques, the study explored the transport pathways and depositional patterns of sediments. The grain size trend analysis (GSTA) method was utilized, in conjunction with the Flemming triangle diagram method, to classify the dynamic environment of the sediments. Furthermore, hydrodynamic modeling results were integrated to further analyze the transport trends of the sediments. The study revealed that the sediment types in the research area are complex, primarily consisting of gravelly sand and sandy gravel, indicating a generally coarse sedimentary environment in the region. The sediments in the lower reaches of the Changhua River generally transport towards the south and southwest (in the direction of Beili Bay). The net sediment transport directions inferred from the GSTA model are largely consistent with the Eulerian residual flow patterns, especially in the offshore area, where discrepancies are observed in the nearshore zone. The nearshore transport is influenced by the combined effects of alongshore currents, residual flows, and river inputs, while the offshore transport exhibits a shift from the northwest to southwest directions, reflecting the regional circulation patterns.

Authors

Institutions

Publication Details

Journal
Journal of Marine Science and Engineering
Published
2024-11-02
DOI
https://doi.org/10.3390/jmse12111982
Citations
3
Primary Topic
Geological formations and processes
Type
article
Field-Weighted Citation Impact
1.55

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Downstream Sediment Transport Trends Based on In Situ Data and Numerical Simulation

Dongxu Jiang, Qinjun Wang, Zhiqun Xing, Shiyou Zhang et al.
3 citations
Journal of Marine Science and Engineering
Geological formations and processes
1.55
article

Analysis of Downstream Sediment Transport Trends Based on In Situ Data and Numerical Simulation

Dongxu Jiang, Qinjun Wang, Zhiqun Xing, Shiyou Zhang, Enjin Zhao, Yang Wang, Yuxi Wu, Zhiming Xu, Xiwen Li
article en
3 citations

Abstract

This study conducted an in-depth analysis of the sediment dynamics in the lower reaches of the Changhua River and its estuary on Hainan Island. Through field collection of topographic data and sediment sampling, combined with advanced computational techniques, the study explored the transport pathways and depositional patterns of sediments. The grain size trend analysis (GSTA) method was utilized, in conjunction with the Flemming triangle diagram method, to classify the dynamic environment of the sediments. Furthermore, hydrodynamic modeling results were integrated to further analyze the transport trends of the sediments. The study revealed that the sediment types in the research area are complex, primarily consisting of gravelly sand and sandy gravel, indicating a generally coarse sedimentary environment in the region. The sediments in the lower reaches of the Changhua River generally transport towards the south and southwest (in the direction of Beili Bay). The net sediment transport directions inferred from the GSTA model are largely consistent with the Eulerian residual flow patterns, especially in the offshore area, where discrepancies are observed in the nearshore zone. The nearshore transport is influenced by the combined effects of alongshore currents, residual flows, and river inputs, while the offshore transport exhibits a shift from the northwest to southwest directions, reflecting the regional circulation patterns.

Journal of Marine Science and EngineeringVol. 12(11)
China Geological Survey (CN), China University of Geosciences (CN), Shenzhen Research Institute of China University of Geosciences (CN), Chinese People's Liberation Army (CN), Ocean University of China (CN)
National Natural Science Foundation of China, Basic and Applied Basic Research Foundation of Guangdong Province
Life below water
Openalex Percentile: Top 19%
Geological formations and processes
1.55
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.