Improvement of the sediment flux estimation in the Yangtze River Estuary with a GOCI data adjusted numerical model

  • Guohu Xie
  • , Yang Zhang*
  • , Jia Liu
  • , Huijie Xue
  • , Jianzhong Ge
  • , Xianqiang He
  • , Wentao Ma
  • , Fei Chai
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

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.

Original languageEnglish
Article number102284
JournalOcean Modelling
Volume186
DOIs
StatePublished - Dec 2023
Externally publishedYes

Keywords

  • Geostationary Ocean Color Imager (GOCI)
  • Morphology
  • Numerical model
  • Sediment flux
  • Yangtze River Estuary

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