Using GOCI Retrieval Data to Initialize and Validate a Sediment Transport Model for Monitoring Diurnal Variation of SSC in Hangzhou Bay, China

Abstract

Abstract:The diurnal variation of the suspended sediment concentration (SSC) in Hangzhou Bay, China has been investigated using remotely-sensed SSC derived from the Geostationary Ocean Color Imager (GOCI) in combination with a coupled hydrodynamic-ecological model for regional and shelf seas (COHERENS). The SSC maps were inferred through a UV-AC atmospheric correction algorithm and an empirical inversion algorithm from the GOCI Level-1B data. The sediment transport model was initialized from maps of the GOCI-derived SSC and the model results were validated through a comparison with remotely-sensed data. The comparison demonstrated that the model results agreed well with the observations. The relationship between SSC distribution and hydrodynamic conditions was analyzed to investigate the sediment transport dynamics. The model's results indicate that the action of tidal currents dominate the sediment deposition and re-suspension in the coastal waters of the East China Sea. This is especially the case in Hangzhou Bay where the tidal currents are strongest. The satellite-derived sediment data product can not only dramatically improve the specification of the initial conditions for the sediment model, but can also provide valuable information for the model validation, thereby improving the model's overall performance.

Numerical Simulations of Suspended Sediment Dynamics Due to Seasonal Forcing in the Mekong Coastal Area

“…Remote sensing data can be used in complement to numerical simulations to study the river plume dynamics and sediment transport [82][83][84][85][86]. Satellite data are available under clear sky conditions only; such data are numerous during the dry season but less abundant during the wet and mostly cloudy season, which makes it difficult to estimate sediment budgets from remote sensing alone.…”

High-Frequency Monitoring of Suspended Sediment Variations for Water Quality Evaluation at Deep Bay, Pearl River Estuary, China: Influence Factors and Implications for Sampling Strategy

“…Moreover, the SS is so dynamic that it shows a notable decrease over time at low tide and increases again 2-3 h after low tide for the transition of flood tide to ebb tide [27]. Furthermore, in the study of Yang et al [28], the SS increased from hundreds to thousands of mg/L in Hangzhou Bay over only 24 h under the influence of tidal currents, and similar impacts of tide on the SS variations were also observed in Deep bay using time series remote sensing data [29]. In general, the main factor controlling the SS varies between environments and the SS varies considerably over a short time, which makes it difficult to monitor the SS.…”

“…Significant progress has been made in studying coastal and inland waters using remote sensing [1,35,36]. The application of remote sensing provides an effective solution for monitoring of the spatial distribution of SS and dynamic changes in SS over time, for example, MODIS and GOCI data are used to estimate total suspended matter concentration in coastal zones [28,37]. However, the sampling strategy (time and interval) is one of the major factors that influence the efficiency and precision of both in situ and remote sensing methods because, in most cases, only limited measurements (i.e., once a day for in situ or twice a day for remote sensing such as Terra/Aqua MODIS) are available to analyze the variations or the long-term trend of SS.…”

Multi-temporal dynamics of suspended particulate matter in a macro-tidal river Plume (the Gironde) as observed by satellite data

“…El Serafy et al, 2011;Sottolichio et al, 2014;Gangloff et al, 2017;Yang et al, 2016). This will certainly help improving the realism of models, better understand the physical and chemical processes involved in SPM transport and estimate the SPM discharge rates at the land-ocean interfaces.…”