TY - JOUR
T1 - Modeling the temporal evolution of dredging-induced turbidity in the far field
AU - Shao, Dongdong
AU - Purnama, Anton
AU - Sun, Tao
N1 - Publisher Copyright:
© 2015 American Society of Civil Engineers.
PY - 2015/9/1
Y1 - 2015/9/1
N2 - A mathematical model of the transport of dredging-induced turbidity in the far field was developed in this study. Unlike the majority of the existing models, which assume a steady state, the present model retains the transient term, ∂c/∂t, to predict the temporal evolution of the spatial extent and concentration of the sediment plume. The unknown source strength is calibrated using field data. The appropriate turbulent diffusion coefficient in the longitudinal direction, Dx, is set to comply with the real situation with negligible longitudinal diffusion. The complete transient model formulation was then used to analyze the effects of key modeling parameters, such as the water depth, h, mean tidal current velocity, u, turbulent diffusion coefficients in the longitudinal and transverse directions, Dx and Dy, as well as the sediment-settling velocity, ws, on the model prediction, in particular the approach to the steady state and the ultimate suspended sediment concentration level at the steady state. The semianalytical model thus developed with improved functionality can be used for worst-case assessments of the steady-state flow conditions in the far-field transport of the sediment plume generated by dredging operations.
AB - A mathematical model of the transport of dredging-induced turbidity in the far field was developed in this study. Unlike the majority of the existing models, which assume a steady state, the present model retains the transient term, ∂c/∂t, to predict the temporal evolution of the spatial extent and concentration of the sediment plume. The unknown source strength is calibrated using field data. The appropriate turbulent diffusion coefficient in the longitudinal direction, Dx, is set to comply with the real situation with negligible longitudinal diffusion. The complete transient model formulation was then used to analyze the effects of key modeling parameters, such as the water depth, h, mean tidal current velocity, u, turbulent diffusion coefficients in the longitudinal and transverse directions, Dx and Dy, as well as the sediment-settling velocity, ws, on the model prediction, in particular the approach to the steady state and the ultimate suspended sediment concentration level at the steady state. The semianalytical model thus developed with improved functionality can be used for worst-case assessments of the steady-state flow conditions in the far-field transport of the sediment plume generated by dredging operations.
KW - Dredging
KW - Environmental impact assessment
KW - Far-field transport
KW - Turbidity plume
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U2 - 10.1061/(ASCE)WW.1943-5460.0000295
DO - 10.1061/(ASCE)WW.1943-5460.0000295
M3 - Article
AN - SCOPUS:84939177297
SN - 0733-950X
VL - 141
JO - Journal of Waterway, Port, Coastal and Ocean Engineering
JF - Journal of Waterway, Port, Coastal and Ocean Engineering
IS - 5
M1 - 04015001
ER -