GH013
Monitoring, Modeling and Mapping of GeoHealth Indicators for Harmful Algal Blooms and Environmental Pathogens

Session ID#: 159082

Session Description:
Climatic and environmental changes often confer selective advantages on environmental pathogens increasing their virulence and infectivity and threatening human health. Hurricanes and heavy rains have spawned harmful algal blooms of cyanobacteria and dinoflagellates. Prolonged cold spells have precipitated norovirus outbreaks. Low tides, heat waves, and high sea surface temperatures have resulted in increased reports of human vibrio and mycobacterial infections. This session is intended to improve our understanding of the prevalence, onset, and persistence of toxic and infectious organisms in the environment and particularly marine ecosystems by identifying GeoHealth indicators and predictive relationships for the pathogens and their environmental drivers. To that end, this session solicits contributions that would improve our understanding of the seasonal occurrence, temporal variations and spatial distributions of these environmental pathogens by presenting GeoHealth indicators, advanced monitoring and testing technologies (e.g., bio-sensing, drone and satellite remote sensing), effective nowcasting and forecasting tools, and geospatial mapping methods.
Index Terms:

0230 Impacts of climate change: human health [GEOHEALTH]
0240 Public health [GEOHEALTH]
0245 Vector-borne diseases [GEOHEALTH]
1922 Forecasting [INFORMATICS]

Primary Convener:  Zhiqiang Deng, Louisiana State University, Department of Civil and Environmental Engineering, Baton Rouge, LA, United States and James H. Diaz
Conveners:  James H. Diaz, LSU Health Sciences Center New Orleans, School of Public Health, New Orleans, LA, United States, Lloyd A. Treinish, IBM Research USA, Yorktown Heights, NY, United States and James H. Diaz
Student/Early Career Convener:  Saber Aradpour, Louisiana State University, Department of Civil and Environmental Engineering, Baton Rouge, United States and James H. Diaz
 
Modeling and Forecasting Harmful Algal Blooms in Lake Pontchartrain with Lagged GeoHealth Indicators (1078826)
Zhiqiang Deng, Louisiana State University, Department of Civil and Environmental Engineering, Baton Rouge, LA, United States and Shekhar Mahat, Louisiana State University, Department of Civil and Environmental Engineering, Baton Rouge, United States
 
Margalefidinium polykrikoides Blooms in the Lower Chesapeake Bay: Tradeoffs Between Physical Forcing and Biological Potential (1087648)
Eileen E Hofmann1, Margaret R Mulholland2, John Michael Klinck II3, Michael Anthony Echevarria2, Eduardo Perez Vega2 and Jacqueline B. Chrabot2, (1)Old Dominion University, Center for Coastal Physical Oceanography, Norfolk, VA, United States, (2)Old Dominion University, Ocean and Earth Sciences, Norfolk, United States, (3)Old Dominion University, Center for Coastal Physical Oceanography, Norfolk, United States
 
Monitoring Harmful Algal Blooms over Lakes using Remote sensing and Google Earth Engine Cloud-Based Platform (1111581)
Marzi Azarderakhsh1, Sulayman Konateh2, Reginald Blake3 and Hamid Norouzi1, (1)CUNY New York City College of Technology, Brooklyn, NY, United States, (2)CUNY Bronx Community College, Engineering and Science, Bronx, United States, (3)CUNY New York City College of Technology, Civil Engineering Department, Brooklyn, NY, United States
 
Observation of Algal Blooms on the Gulf of Mexico at the Mississippi River Delta with Bistatic Radar (1117147)
Nereida Rodriguez-Alvarez, Kamal Oudrhiri and Joan Francesc Munoz Martin, NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
 
Improved Seasonal Prediction of Harmful Algal Blooms using Large-scale Climate Indices (1173096)
Mukul Tewari, IBM Research USA, Yorktown Heights, NY, United States
 
How does anthropogenic and ecological factors influence the Counts of Fecal Indicator Bacteria at the Meadow Lake and Baisley Pond in Queens, NY? (1175646)
Jamelia Jordan1, Toodashwarie Singh1, Amin Ullah1, Turjoy Dhar2 and Ratan Kumar Dhar1, (1)York College of CUNY, Earth and Physical Sciences, Jamaica, United States, (2)Forest Hills High School, Forest Hills, United States
 
Modeling and Predicting Vibrio Vulnificus Concentration in U.S. Gulf Coast Oysters with GeoHealth Indicators (1189024)
Zhiqiang Deng, Louisiana State University, Department of Civil and Environmental Engineering, Baton Rouge, LA, United States and Saber Aradpour, Louisiana State University, Department of Civil and Environmental Engineering, Baton Rouge, United States
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