H105
Monitoring, Prediction and Mitigation of Harmful Algal Blooms (HABs)
Session ID#: 248724
Session Description:
Harmful Algal Blooms (HABs) are growing environmental concerns as they impact water quality, ecosystem health, and economy. There is a need to understand the underlying mechanisms, implment predictive models and develop effective mitigation strategies. This session aims to bring together research efforts that interpret the mechanisms driving HABs, innovative monitoring techniques, prediction models and effective mitigation strategies. Example foci are: (1) ecological mechanisms on the biogeochemical and physical drivers of HAB occurrence, development and decline in freshwaters and marine/coatstal waterbodies; (2) advances in monitoring HABs (e.g., remote sensing, in-situ and/or citizen science);(3) modeling the occurrence and intensity of HABs using statistical, process-based and machine learning models;(4) impacts of nonstaionary environment (e.g., climate and land cover change and ocean acidification) on HABs;(5) public health and economic impacts of HABs;(6) mitigation, decision-making and management approaches to prevent HABs, including nutrient load reduction and biological controls.
Index Terms:
1804 Catchment [HYDROLOGY]
1813 Eco-hydrology [HYDROLOGY]
1871 Surface water quality [HYDROLOGY]
1879 Watershed [HYDROLOGY]
Primary Convener: Ebrahim Ahmadisharaf, Florida State University, Tallahassee, FL, United States
Conveners: Sven Kranz, Rice University, Department of BioSciences, Houston, United States, Xiuming Sun, Florida State University, Tallahassee, FL, United States and Mark Cable Rains, University of South Florida, School of Geosciences, Tampa, United States
Understanding the links between climate, watershed biogeochemistry, and Cyanobacteria growth in Lake Springfield, IL (1857197)
Ava Mendoza, University of Illinois at Springfield, Environmental Sciences, Washington, United States and Kyle Blount, University of Illinois at Springfield, Environmental Studies, Springfield, United States
Morphometry of Reservoirs and Lakes Reveals Differences in Algae Blooms (1871389)
Tianying Shi1, Yongcan Chen1, Zhaowei Liu1, Hong Zhang1 and Haoran Wang2, (1)Tsinghua University, Beijing, China, (2)Sichuan Energy Internet Research Institute, Tsinghua University, Chengdu, China
Using Algal Pigment Field Data to Validate Remote Sensing and Initialize Numerical Modeling for Prediction of Future Harmful Algal Blooms (1874471)
Melissa Millman Baustian, U.S. Geological Survey, Baton Rouge, LA, UNITED STATES, Emily Lain, Cherokee Nation System Solutions, in support of U.S. Geological Survey, Wetland and Aquatic Research Center, Lafayette, United States, Bingqing Liu, University of Louisiana at Lafayette, School of Geosciences, Lafayette, United States, Sibel Bargu, Louisiana State University, Oceanography and Coastal Sciences, Baton Rouge, United States, Jacob Cheng, Louisiana State University, Baton Rouge, LA, United States, Scott Mize, US Geological Survey, Lower Mississippi-Gulf Water Science Center, Baton Rouge, United States, Francesca Messina, The Water Institute of the Gulf, Baton Rouge, United States, Ryder Myers, USGS Geological Survey, Baton Rouge, United States and Ioannis Y Georgiou, The Water Institute of the Gulf, New Orleans, United States
NUTRIENT-DEPENDENT ALGAL GROWTH AND ITS SUPPRESSION BY QACS-COATED BENTHIC MEDIA IN SIMULATED URBAN WATER CIRCULATION SYSTEMS (1887918)
Kyung In Chae, HANBAT NATIONAL UNIVERSITY, Civil & Environmental Enginnering, Daejeon Metropolitan City, South Korea, Dr. Jin Chul Joo, PhD, Hanbat National University, Department of Civil and Environmental Engineering, Daejeon, South Korea, In Hyuk Hwang, Hanbat National University, Civil & Environmental Engrg., Daejeon, South Korea, Seo Yi Park, Hanbat National University, Civil & Environmental Engrg, Daejeon Metropolitan City, South Korea, Soo-young Moon, Korea Institute of Civil Engineering and Building Technology, KICT, Goyang, South Korea and Jiwon Choi, Hanbat national university, Department of Environmental Engineering, Daejeon, South Korea
High-Frequency Satellite-Driven Early Warning System for Harmful Algal Blooms in Freshwater Lakes (1903643)
Neda Nazemi1, Mohammad Qasim Bhatti2, Faraz Dadgostari3 and Kiarash Geraili3, (1)Montana State University, Bozeman, MT, United States, (2)Montana State University, Gianforte School of Computing, Bozeman, United States, (3)Montana State University, Bozeman, United States
Have Florida’s red tides increased over the past 40 years? Bridging CZCS to MODIS observations (1928714)
Yao Yao1, Chuanmin Hu1, Brian B Barnes1, Katherine Hubbard2, Cheng Xue1 and Jennifer P Cannizzaro1, (1)University of South Florida, College of Marine Science, St. Petersburg, United States, (2)Fish and Wildlife Research Institute, Florida Fish and Wildlife Conservation Commission, Saint Petersburg, United States
Machine learning framework for red tide monitoring in Charlotte Harbor, West Florida Shelf (1931731)
Wei Mao1, Elshall Ahmed S. Sr2, Ming Ye3, Mewcha A. Bremedhinb2, Michael Parsons4 and Charles Fleischer5, (1)Florida State University, Tallahassee, FL, United States, (2)Florida Gulf Coast University, Department of Bioengineering, Civil Engineering, and Environmental Engineering, Fort Myers, United States, (3)Florida State University, Earth, Ocean, and Atmospheric Science, Tallahassee, United States, (4)Florida Gulf Coast University, Fort Myers, United States, (5)Florida State University, Tallahassee, United States
Sediment archives link salinity shifts to cyanobacterial and toxin surges (1947912)
Kevin Erratt1, Irena F Creed2, David McMullin3, Lauren Rego4 and Jeffery Feng3, (1)University of Toronto, Toronto, ON, Canada, (2)University of Saskatchewan, Saskatoon, SK, Canada, (3)University of Ottawa, Chemistry, Ottawa, ON, Canada, (4)University of Toronto, Physical & Environmental Sciences, Toronto, ON, Canada
Salinity thresholds drive nonlinear cyanobacterial toxin responses (1948722)
Kevin Erratt1, Irena F Creed1, Kelechi Nwokeocha1, Charles Trick1, Daniel Beach2 and Lydia Zamlynny3, (1)University of Toronto, Toronto, ON, Canada, (2)National Research Council Canada, Halifax, NS, Canada, (3)Dalhousie University, Halifax, NS, Canada
Hyperspectral remote sensing of biogeochemical parameters and inherent optical properties in inland and coastal waters from PACE/OCI (1952144)
Ryan O'Shea1, Akash Ashapure2, Arun Saranathan1,3, Nima Pahlevan4, Chintan Maniyar5 and Abhishek Kumar5, (1)Science Systems and Applications, Inc., Lanham, MD, United States, (2)Science Systems and Applications Inc., Lanham, United States, (3)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (4)NASA Headquarters, Earth Science Division, Washington, United States, (5)University of Georgia, Center for Geospatial Research, Department of Geography, Athens, United States
Decision Trees for Monthly Harmful Algal Bloom Prediction (1959901)
Ungtae Kim1, Si Jung Choi2, Seongkyu Kang2 and Jaejin Lee3, (1)Cleveland State University, Civil and Environmental Engineering, Solon, OH, United States, (2)Korea Institute of Civil Engineering and Building Technology, Department of Hydro Science and Engineering Research, Goyang, South Korea, (3)Iowa State University, Department of Agricultural and Biosystems Engineering, Ames, United States
Lake and Catchment Characteristics Alter Toxic Algal Bloom Risk from Anthropogenic Nutrient Inputs across the Conterminous United States (1960005)
Melanie Reynolds1, Amalia Handler2, Michael Dumelle3, Jana Compton4, Marc Weber5, Lara Jansen6, Meredith Brehob7, Robert Daniel Sabo8, Michael J Pennino9 and Ryan A Hill4, (1)ORISE/USEPA, Severna Park, MD, UNITED STATES, (2)Oregon State University, Corvallis, United States, (3)US Environmental Protection Agency, Office of Research and Development, Corvallis, United States, (4)U.S. Environmental Protection Agency, Office of Research and Development, Corvallis, United States, (5)U.S. Environmental Protection Agency, Office of Water, Corvallis, United States, (6)Southern California Coastal Water Research Project, Costa Mesa, United States, (7)Oak Ridge Institute for Science and Education, Based at US EPA, Washington DC, United States, (8)U.S. Environmental Protection Agency, Office of Water, Washington, United States, (9)US Environmental Protection Agency, Office of Research and Development, Washington, DC, United States
Modeling Karenia brevis Bloom Occurrence in the US Gulf Using Historical Observations and Machine Learning Approaches (1961283)
Xiuming Sun, Florida State University, Tallahassee, FL, United States, Ebrahim Ahmadisharaf, Florida A&M University-Florida State University College of Engineering, Tallahassee, United States and Vicky Gao, Belmont University, Nashville, United States
Simulating Harmful Algal Blooms in Lake Erie with an Advanced Physical-Biogeochemical Numerical Model (1963425)
Mark Rowe1, Kevin J. Flynn2, Helen Powley2, Ricardo Torres2, Casey M. Godwin3, Pengfei Xue4, Spender Gardner3 and Chuyan Zhao5, (1)National Oceanic and Atmospheric Administration, Great Lakes Environmental Research Laboratory, Ann Arbor, MI, United States, (2)Plymouth Marine Laboratory, Plymouth, United Kingdom, (3)University of Michigan, Cooperative Institute for Great Lakes Research, Ann Arbor, United States, (4)Michigan Technological University, Department of Civil, Environmental and Geospatial Engineering, Houghton, MI, United States, (5)Michigan Technological University, Houghton, United States
Forecasting Harmful Algal Bloom (HAB) Presence in Florida Bay using Statistical Models and Remote Sensing Analysis to Inform Conservation and Management (1964689)
Anna Valcarcel1, Grace Markell2, Lemon Doroshow3, Julia Cheesman2 and Kathleen Miller2, (1)University of California Berkeley, Civil and Environmental Engineering, Berkeley, CA, United States, (2)Analytical Mechanics Associates (AMA), Hampton, United States, (3)Johns Hopkins University, Department of Applied Mathematics and Statistics, Balitmore, United States
Deep Causal Inference for Predicting Cyanobacterial Blooms in CONUS Inland Waters (1967465)
Syed Usama Imtiaz1, Mitra Nasr Azadani1 and Nasrin Alamdari2, (1)Florida State University, Tallahassee, FL, United States, (2)Florida A&M University-Florida State University College of Engineering, Department of Civil and Environmental Engineering, Resilient Infrastructure and Disaster Response Center, 2525 Pottsdamer St., Tallahassee, United States
Adapting CyAN Framework to Hyperspectral Data: Enhanced CyanoHAB Detection and Monitoring Using NASA’s PACE Satellite (1976151)
Abhishek Kumar1, Chintan Maniyar1, Brice Grunert2, Nathan Tesfayi1, Isabella Fiorentino1, Kendra Herweck2, Emily Hyland2, Bingqing Liu3, Bradley Bartelme4 and Deepak R Mishra1, (1)University of Georgia, Center for Geospatial Research, Department of Geography, Athens, United States, (2)Cleveland State University, Cleveland, United States, (3)University of Louisiana at Lafayette, School of Geosciences, Lafayette, United States, (4)EnviroScience Inc., Stow, United States
Integrating a Hydrodynamic and Lagrangian Particle Tracking Framework for HAB Dynamics in Western Lake Erie (1976789)
Belinda Saint Louis, University of Michigan Ann Arbor, SEAS, Ann Arbor, MI, United States, Saeed Memari, Colorado School of Mines, Civil & Environmental Engineering, Golden, United States, Eric J Anderson, Colorado School of Mines, Civil & Environmental Engineering, Golden, CO, United States, Andrew Gronewold, University of Michigan, School for Environment and Sustainability, Ann Arbor, United States and Saeed Memary: Colorado School of Mines,Civil and Environmental Engineering
The HABscopeTM 2.0 project: Continuing to Improve Community Science Tools and Image analysis software (Invited) (1994016)
Barbara A Kirkpatrick1, Robert Currier2, Grant Craig2, Katherine Hubbard3 and Alicia Hoeglund4, (1)Gulf of America Coastal Ocean Observing System, Sarasota, United States, (2)Gulf of America Coastal Ocean Observing System, College Station, United States, (3)Fish and Wildlife Research Institute, Florida Fish and Wildlife Conservation Commission, Saint Petersburg, United States, (4)Florida Fish and Wildlife Research Institute, St. Petersburg, United States
