Abstract:

A high-resolution, three-dimensional coastal ocean circulation model is used to estimate the bulk residence time distributions for the entirety of Tampa Bay and for five of its sub-regions using an Eulerian passive tracer technique.With a resolution as high as 20 m, the model domain includes all of the important mass conveyances by the channels and inlets, plus the impediments to flow by bridge causeways and natural constrictions.

Suggested Citation:

Weisberg, Robert. 2014. Three-dimensional coastal ocean circulation model on the flushing of Tampa Bay, August-December 2001. Distributed by: GRIIDC, Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/N7W37TBK

Publications:

Zhu, J., Weisberg, R. H., Zheng, L., & Han, S. (2014). On the Flushing of Tampa Bay. Estuaries and Coasts, 38(1), 118–131. doi:10.1007/s12237-014-9793-6

Purpose:

To develop a regional 3D Earth System Model that includes interfacial exchange processes between sediment, water, and atmosphere; biogeochemical processes, the transport of organisms, and the effects of petroleum hydrocarbons on all of these processes.

Data Parameters and Units:

Global: Global Variables all_channel: the longitude and latitude of the channel (km) channel_lonlat: the longitude and latitude of the deepening and widening channel (km) cstline: the longitude and latitude of coastline (km) lat_ele: the latitude of triangle elements lon_ele: the longitude of triangle elements lat_node: the latitude of nodes lon_node: the longitude of nodes num: the number of coastlines pos: [lon_node lat_node] tri: the nodes of each triangle elements Figure1: Geographic location of Tampa Bay best_fit_pos: model nodes chosen to examine the utility of double-exponential curvel method Figure2: Model Grid Figure3: The bathymetry before and after channel modifications h_node_before: The bathymetry before channel modifications h_node_after: The bathymetry after channel modifications Figure4: The distributions of residence times for two cases residence_time1: for tides alone residence_time7: for tides + rivers + winds Figure5: The distributions of depthaveraged concentration on the 91st day after the release of the passive tracers for two cases dye_node_filt1: for tides alone dye_node_filt7: for tides + rivers + winds Figure6: The distributions of residence times for the case driven by tides alone in five sub-regions residence_time234: for R1, R2, and R3 residence_time56: for R4 and R5 Figure7: The distributions of residence times for the case driven by tides plus rivers and winds in five sub-regions residence_time234: for R1, R2, and R3 residence_time56: for R4 and R5 Figure8: The distributions of depth-averaged concentration on the 10th day after the release of passive tracers for the case driven by tides alone in five subregions dye_node_filt234: for R1, R2, and R3 dye_node_filt56: for R4 and R5 Figure9: The distributions of depth-averaged concentration on the 10th day after the release of passive tracers for the case driven by tides plus rivers and winds in five subregions dye_node_filt234: for R1, R2, and R3 dye_node_filt56: for R4 and R5 Figure10: The distributions of residence times after channel deepening and widening for the case driven by tides plus rivers and winds residence_time: residence times Figure11: The distribution of depth-averaged concentration after channel deepening and widening on the 91th day after the release of passive tracers for the case driven by tides plus rivers and winds. dye_node_filt: depth-averaged concentration Figure12: Tracer concentration removal at six locations dye_node: hourly modeled concentration dye_node_filt: filtered concentration using a 36-h low pass filter Figure13: The distributions of residence times by using double-exponential curve method for the case driven by tides plus rivers and winds residence_time: residence time

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