Abstract. Excessive nutrient loading is a major cause of water quality problems worldwide, often leading to harmful algal blooms and hypoxia in lakes and coastal systems. Efficient nutrient management requires that loading sources are accurately quantified. However, loading rates from various urban and rural non-point sources remain highly uncertain especially with respect to climatological variation. Furthermore, loading models calibrated using statistical techniques (i.e., hybrid models) often have limited capacity to differentiate export rates among various source types, given the noisiness and paucity of observational data common to many locations. To address these issues, we leverage data for two North Carolina Piedmont river basins collected over three decades (1982–2017) using a mechanistically parsimonious watershed loading and transport model
calibrated within a Bayesian hierarchical framework. We explore temporal
drivers of loading by incorporating annual changes in precipitation, land
use, livestock, and point sources within the model formulation. Also,
different representations of urban development are compared based on how
they constrain model uncertainties. Results show that urban lands built
before 1980 are the largest source of nutrients, exporting over twice as
much nitrogen per hectare than agricultural and post-1980 urban lands. In
addition, pre-1980 urban lands are the most hydrologically constant source
of nutrients, while agricultural lands show the most variation among high-
and low-flow years. Finally, undeveloped lands export an order of magnitude
(∼7–13×) less nitrogen than built environments.
Nutrient pollution is a major threat to water quality in the United States (Whitall et al., 2007) and worldwide (Woodward et al., 2012). It can result in algal blooms, hypoxia, and undesirable ecosystem shifts, jeopardizing economies dependent on affected natural resources (Brooks et al., 2016;Conley et al., 2009). Phosphorus is recognized to be the primary limiting nutrient of eutrophication for many lakes and reservoirs (Carpenter, 2008;Schindler et al., 2016), though nitrogen may also be important in some freshwater systems (Paerl et al., 2016). Nutrient sources typically include wastewater effluent from point sources, plus urban and agricultural nonpoint sources (Davidson et al., 2014;Howarth et al., 2002). While there has been considerable success in regulating point sources, less progress has been made toward reducing diffuse nonpoint fluxes (
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