Abstract
In this study, the goal is to estimate the sedimentation on the bottom bed of Lake Taihu using numerical simulation combined with geostationary satellite ocean color data. A two-dimensional (2D) model that couples the dynamics of shallow water and sediment transport is presented. The shallow water equations are solved using a semi-implicit finite difference method with an Alternating Direction Implicit (ADI) method. Suspended sediment transport is simulated by solving the general convection-diffusion equation with resuspension and deposition terms using a second-order explicit central difference method in space and two-step Adams–Bashforth method in time. Moreover, the total suspended particulate matter (TSM) is retrieved by the world’s first geostationary satellite ocean color sensor Geostationary Ocean Color Imager (GOCI) using atmospheric correction algorithm for turbid waters using ultraviolet wavelengths (UV-AC) and regional empirical TSM algorithm. The 2D model and GOCI-retrieved TSM are applied to study the sediment transport and sedimentation in Lake Taihu. Validation results show rationale TSM concentration retrieved by GOCI, and the simulated TSM concentrations are consistent with GOCI observations. In addition, simulated sedimentation results reveal the dangerous locations that must be observed and desilted.
Highlights
Land surface water systems such as lakes and reservoirs are valuable resources because they provide water supply to our daily life, and because they are used for flood control, recreation and wildlife management
To overcome the difficulty of the atmospheric correction in turbid waters in Lake Taihu, the ultraviolet band (UV)-AC algorithm was adopted to retrieve the remote sensing reflectance from the Geostationary Ocean Color Imager (GOCI) Level-1B data provided by Korean Ocean Research and Development Institute (KORDI)
Remote sensing data from GOCI has been processed using the UV-AC atmospheric correction algorithm and the empirical total suspended particulate matter (TSM) model to obtain the monthly averaged TSM distribution in Lake Taihu. It indicates that the TSM concentration in Lake Taihu ranges from 0 to 400 mg/l
Summary
Land surface water systems such as lakes and reservoirs are valuable resources because they provide water supply to our daily life, and because they are used for flood control, recreation and wildlife management. Both natural and human activities such as sedimentation, algal blooms, flooding events, dredging channels, discharging municipal and industrial wastes can affect the ecosystems in land surface water bodies. Blue-green algae pose severe environmental and ecological threats to surface water systems. The population of blue-green algae can rapidly increase or accumulate in surface water systems, and the process is called an algal bloom.
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