10.4122/1.1000000513
Cheng, Hwai-Ping
Hwai-Ping
Cheng
hwai-ping.cheng@erdc.usace.army.mil
Lin, Hsin-Chi
Hsin-Chi
Lin
hsin-chi.j.lin@erdc.usace.army.mil
Tate, Charles
Charles
Tate
charles.h.tate@erdc.usace.army.mil
Edris, Earl
Earl
Edris
earl.v.edris@erdc.usace.army.mil
Richards, David
David
Richards
david.r.richards@erdc.usace.army.mil
Granat, Mitch
Mitch
Granat
mitch.a.granat@erdc.usace.army.mil
Richards, David
David
Richards
david.r.richards@erdc.usace.army.mil
Model Calibration and Validation of South Florida Biscayne Bay Coastal Wetlands Watershed
XVI International Conference on Computational Methods in Water Resources
2006
2006
Among the 40 projects in the Florida Comprehensive Everglade Restoration Plan, the
Biscayne Bay Coastal Wetlands (BBCW) project has a purpose of re-hydrating wetlands
and reducing point source discharge to Biscayne Bay. Seven project alternatives
that include rule-controlled coastal canal structures, rule-controlled pump
stations, spreader swales, stormwater treatment areas, flowways, levees, culverts,
roads, and backfilling canals have been proposed to achieve the purpose. These
alternatives are evaluated with the WASH123D model-a first-principle, physics-based
numerical model that computes flow and transport in a watershed system that is
conceptualized as a combination of 1-D channel network, 2-D overland regimes, and 3-
D subsurface media. The WASH123D-BBCW model needs to be calibrated and validated
before being used to evaluate the alternatives. This paper presents the
calibration and validation of the model. A three-step approach that is used for
model calibration and validation is presented, discussed, and evaluated in this
paper. The three steps are: calibration of the overland Manning’s roughness
coefficients (n2) and subsurface hydraulic conductivities (K) with the coupled 2-
D/3-D WASH123D-BBCW model where the historical data of canal stage is used as the
boundary condition; calibration of the canal Manning’s roughness coefficients (n1)
where the calibrated n2 and K from the previous step are used; and validation of
the calibrated n1, n2, and K with a second set of historical data. The calibration-
validation results of the WASH123D-BBCW model are also presented in the paper.