Using data-driven modeling to predict estuarine water quality response to changes in upstream land use, management, and climate
Using data-driven modeling to predict estuarine water quality response to changes in upstream land use, management, and climate
Nathan George Frederick Reaver1, Micheal S Allen2, Farah A Aryan3, David Chagaris2, Thomas Frazer4, Wendy D Graham5, Holden Earl Harris2, David A Kaplan6, Sharmin Siddiqui6, Elliott White Jr7 and Simeon Yurek8, (1)University of Florida, Water Institute, Gainesville, United States, (2)University of Florida, UF/IFAS Nature Coast Biological Station, Cedar Key, United States, (3)University of Florida, Department of Agricultural and Biological Engineering, Gainesville, United States, (4)University of South Florida, College of Marine Science, St Petersburg, United States, (5)University of Florida, Water Institute and Department of Agricultural and Biological Engineering, Gainesville, United States, (6)University of Florida, Environmental Engineering Sciences, Gainesville, United States, (7)Stanford University, Earth System Science and Stanford Doerr School of Sustainability, Stanford, United States, (8)USGS Wetland and Aquatic Research Center, Gainesville, United States