Presentation Title

Modeling Persistent Organic Pollutants in Glacial Resevoirs

Presenter Information

Jack IveyFollow

Faculty Mentor

Dr. Rebecca Lyons

Start Date

17-11-2018 9:30 AM

End Date

17-11-2018 9:45 AM

Location

C323

Session

Oral 2

Type of Presentation

Oral Talk

Subject Area

physical_mathematical_sciences

Abstract

4-Nonylphenol (4-NP) is a persistent organic pollutant (POP) and as such displays typical characteristics. It accumulates easily in biota, snow and sediment leading to acute and chronic toxicity in living systems. Glacial reservoirs provide optimal locations for such accumulation to occur. We are creating a predictive model to correlate spatial variability in concentrations of 4-NP in glacial snowpack. Using the predictive model we can accurately estimate the total mass of 4-NP in each glacial reservoir studied. Once the total mass of 4-NP within the glacier is calculated using ArcGIS then we can predict how much will be released into the surrounding environment when the glacier melts due to climate change. We are field sampling the Palisades, Middle Palisades, and Dinwoody glaciers using snow pit and core methods. All collected samples will be extracted with hexane, filtered if necessary and run on the Varian 342-220 GC-MS. Concentrations of 4-NP within glacial snow melt range from non-detect to approximately .8ppm within glacial fed lake sediment.

Summary of research results to be presented

Our results strongly suggest that there is a high concentration of 4-Nonylphenol held in glacial snow pack within the Palisades and Middle Palisades glaciers. This organic pollutant presents many potential issues for the surrounding environment and the cities which depend on these glaciers as sources of clean drinking water.

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Nov 17th, 9:30 AM Nov 17th, 9:45 AM

Modeling Persistent Organic Pollutants in Glacial Resevoirs

C323

4-Nonylphenol (4-NP) is a persistent organic pollutant (POP) and as such displays typical characteristics. It accumulates easily in biota, snow and sediment leading to acute and chronic toxicity in living systems. Glacial reservoirs provide optimal locations for such accumulation to occur. We are creating a predictive model to correlate spatial variability in concentrations of 4-NP in glacial snowpack. Using the predictive model we can accurately estimate the total mass of 4-NP in each glacial reservoir studied. Once the total mass of 4-NP within the glacier is calculated using ArcGIS then we can predict how much will be released into the surrounding environment when the glacier melts due to climate change. We are field sampling the Palisades, Middle Palisades, and Dinwoody glaciers using snow pit and core methods. All collected samples will be extracted with hexane, filtered if necessary and run on the Varian 342-220 GC-MS. Concentrations of 4-NP within glacial snow melt range from non-detect to approximately .8ppm within glacial fed lake sediment.