Agro-Hydrology Research Studies in the C-111 Basin

USDA-ARS Cooperative Agreement

Project Investigators

R. Savabi, Everglades Agro-Hydrology Research Management Unit, USDA-ARS-SHRS
B. A. Schaffer, Tropical Research and Education Center, University of Florida
K. L. Campbell, Agricultural and Biological Engineering Department, University of Florida

Project Summary

The South Florida Ecosystem Restoration Initiative seeks to restore the ecosystems of Everglades National Park (ENP) and Florida Bay (FB) by elevating the water table, increasing the flows of water to these areas and restoring the historic hydroperiods.  Historical data show that groundwater levels in Miami-Dade County are inextricably linked to water levels maintained in adjacent or surrounding canals.  There is an urgent need to study the linkage between the surface and subsurface hydrology through scientific research on the hydrology of the region and through the application of a hydrologic model that works on a farm scale.  New interpretive analytical techniques are needed to enhance and refine the data base for assessing flooding risks and uncertainties, water table depths and water quality, and these factors need to be considered in evaluating potential problems within agricultural areas as well as with respect to the waters entering ENP and FB.

The purpose of this cooperative agreement is to facilitate development of information and technology that enable water to be managed in south Florida in a manner that assures the sustainability of agriculture, the restoration of fragile natural terrestrial and marine ecosystems and that provides flood protection and adequate potable water to communities.  Additional data will be collected to formulate, develop, and calibrate a model that simulates the possible impact of the ENP restoration plan on the water balance, crop yield, and movement of agricultural chemicals.  This model can be used to determine the effects of land management practices on the water resources of Miami-Dade County and guide responsible management decisions.