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  3. Inputs and Selected Predictions of a Differential Spatially Referenced Regression Model for 20-year Changes in Total Nitrogen in the Chesapeake Bay Watershed

Inputs and Selected Predictions of a Differential Spatially Referenced Regression Model for 20-year Changes in Total Nitrogen in the Chesapeake Bay Watershed

Dates

Publication Date
Time Period
1990
Time Period
2010

Citation

Chanat, J.G. and Yang, G., 2018, Inputs and Selected Predictions of a Differential Spatially Referenced Regression Model for 20-year Changes in Total Nitrogen in the Chesapeake Bay Watershed: U.S. Geological Survey data release, https://doi.org/10.5066/P9VLUW2Y.

Summary

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.

Contacts

Point of Contact :
Jeffrey G Chanat
Originator :
Jeffrey G Chanat, Guoxiang Yang
Metadata Contact :
Jeffrey G Chanat
Data Owner :
Virginia-West Virginia Water Science Center
Distributor :
U.S. Geological Survey - ScienceBase
USGS Mission Area :
Ecosystems
SDC Data Owner :
Virginia and West Virginia Water Science Center

Attached Files

Click on title to download individual files attached to this item.

SWAN_Landing.xml
Original FGDC Metadata
View 		74.44 KB application/fgdc+xml
SWAN_Readme.txt
“Readme file to run the SWAN model” 		4.29 KB text/plain
SWAN_Calib.R
“Script used to run the SWAN model.” 		2.77 KB text/x-rsrc
SWAN_cntrl.R
“Sub-script file that specifies sources, land-to-water, and network variables” 		3.62 KB text/x-rsrc
SWAN_fn.R
“Sub-script file that provides functions required to run the model.” 		8.22 KB text/x-rsrc
SWAN_data.RData
“RData file that contains 5 auxiliary input datasets required to run the model.” 		12.2 MB application/x-gzip
table1vars.csv
“Land-to-water delivery variables considered in the SWAN model.” 		42.26 MB text/csv
NTNDataLT.csv
“Site information for the 43 Nontidal Network (NTN) stations.” 		19.5 KB text/csv
ConowRatio.csv
“Annual total N delivery ratio estimated for the Conowingo Reservoir” 		959 Bytes text/csv
table1_1990.RData
“Model inputs for trend end-point year 1990. (R format)” 		3.71 MB application/x-gzip
table1_1990.csv
“Model inputs for trend end-point year 1990. (csv format)” 		11.6 MB text/csv
table1_2010.RData
“Model inputs for trend end-point year 2010. (R format)” 		4.5 MB application/x-gzip
table1_2010.csv
“Model inputs for trend end-point year 2010. (csv format)” 		13.79 MB text/csv
SWAN_Calib.RData
“Model output file that contains the calibrated model coefficients” 		1.26 KB application/x-gzip
makeSummaryTables.R
“Script used to generate model predictions using estimated model coefficients.” 		5.07 KB text/x-rsrc
diffTab.RData
“Model output showing model predictions for each COMID. (R format)” 		17.82 MB application/x-gzip
diffTab.csv
“Model output showing model predictions for each COMID. (csv format)” 		45.35 MB text/csv

Purpose

The data were generated to support inferences about causes of observed changes in nitrogen flux in Chesapeake Bay tributaries between 1990 and 2010, using a differential implementation of the core SPARROW model (Schwarz and others, 2006).

Rights

This software has been approved for release by the U.S. Geological Survey (USGS). Although the software has been subjected to rigorous review, the USGS reserves the right to update the software as needed pursuant to further analysis and review. No warranty, expressed or implied, is made by the USGS or the U.S. Government as to the functionality of the software and related material nor shall the fact of release constitute any such warranty. Furthermore, the software is released on condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from its authorized or unauthorized use.

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Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9VLUW2Y

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