Nutrient-reduction efforts have been undertaken in recent decades to mitigate the impacts of eutrophication in coastal and estuarine systems worldwide. To track progress in response to one of these efforts we use Generalized Additive Models (GAMs) to evaluate a diverse suite of water quality constituents over a 32-year period in the Chesapeake Bay, an estuary on the east coast of the United States. Model development included selecting a GAM structure to describe nonlinear seasonally-varying changes over time, incorporating hydrologic variability via either river flow or salinity, and using interventions to model method or laboratory changes suspected to impact data. This approach, transferable to other systems, allows for evaluation of water quality data in a statistically rigorous way, while being suitable for application to many sites and variables. This enables consistent generation of annual updates, while providing a tool for developing insights to a range of management- and research-focused questions.
|Title||A Generalized Additive Model approach to evaluating water quality: Chesapeake Bay Case Study|
|Authors||Rebecca Murphy, Elgin Perry, Jon Harcum, Jennifer L. Keisman|
|Publication Subtype||Journal Article|
|Series Title||Environmental Modelling & Software|
|Record Source||USGS Publications Warehouse|
|USGS Organization||Maryland-Delaware-District of Columbia Water Science Center|