Stormwater Symposium

Oral

395307 - Application of RSM Model to Simulate Flow Through Wetlands and Support Wetland Management Decisions

Tuesday, June 5
10:30 AM - 12:00 PM
Location: Mirage Room
Co-Authors: Jason Godin, Lead Scientist – South Florida Water management District; Walter Wilcox, P.E. – South Florida Water management District

Stormwater treatment areas (STAs) perform an important function in restoring Florida's Everglades by removing the nutrients out of the agricultural runoff from upstream hydrologic systems. Understanding the flow dynamics within the STAs and developing computer models to simulate flow and the depth are important steps in developing tools for managing the STAs. Optimal treatment of nutrients depends on the conditions of hydraulics within the STA in addition to the condition of the vegetation cover.

Vegetation resistance properties obtained using in-situ testing is STAs are used to develop a computer model to simulate hydraulics within STAs. The resistance properties expressed using power-law equations are used to represent flow resistance during the simulation. Depth averaged flow equations are solved within the tool using a 1-D implicit numerical model based on the total variation diminishing Lax-Friedchson (TVDLF) method (Lal and Gabor, 2013 ASCE HY 139-9). Results of the model are used to plot water depth plots of the STA that are useful for managing the vegetation. These results show that the observed and simulated water levels within the STA compare well. Sample maps of forecasted STA water depths are also shown in the paper.

Wasantha A M Lal, PhD

Principal Engineer
South Florida Water Mgmt Dist

Wasantha Lal is a Principal Engineer at the South Florida Water Management District, West Palm Beach, Florida. He joined the district in 1994 and worked primarily on integrated hydrologic and hydraulic model development projects. He has published papers on computational methods, error analysis, uncertainty analysis, calibration methods, canal aquifer interaction, vegetation resistance, field testing methods for aquifer and vegetation parameters, and wave-based parameter estimation methods.

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