Pathogen Pollutant Loading Responses to Precipitation Dynamics and Land Cover
This masters project investigates pathogen pollutant loading by completing three primary objectives. Through visual analysis of sampled fecal coliform and flow data, the best available data are chosen for model fitting and creation. Geospatial analysis tools are then developed in Python and ArcGIS to accurately delineate coastal watersheds with Light Detection and Ranging (LIDAR) data. The data are then used to calibrate a model to predict fecal coliform loading responses to precipitation dynamics within the Newport River Estuary.
The results of the three primary objectives illustrate the complicated relationship between fecal coliform loading and precipitation events. The geospatial analysis tools allow for the accurate delineation of coastal watersheds at scales previously unavailable to managers. Additionally, the calibrated model highlights problem areas for future modelers to address when attempting to quantify fecal coliform loading and precipitation dynamics.
School Location:USA - North Carolina
Source Type:Master's Thesis
Keywords:fecal coliform watershed delineation tmdl pathogen pollutant lidar
Date of Publication:04/25/2008