The core equations of the SPARROW model (Schwarz and others, 2006) were implemented in differential form using the R programming language (R Core Team, 2017), as the basis of a tool for empirically relating a regional pattern of changes in constituent flux, over a multi-year period, to spatially referenced changes in explanatory variables over the same period. A pilot implementation was developed to explore factors influencing changes in flow-normalized flux of total nitrogen over the period 1990-2010 at 43 sites in the non-tidal Chesapeake Bay watershed. Model inputs, outputs, and code are included in this data release, and are described below.
Citation Information
Publication Year | 2021 |
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Title | Inputs and Selected Predictions of a Differential Spatially Referenced Regression Model for 20-year Changes in Total Nitrogen in the Chesapeake Bay Watershed |
DOI | 10.5066/P9VLUW2Y |
Authors | Jeffrey G. Chanat, Guoxiang Yang |
Product Type | Data Release |
Record Source | USGS Digital Object Identifier Catalog |
USGS Organization | Virginia and West Virginia Water Science Center |