Model:SPARROW: Difference between revisions

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{{Documentation model
{{Documentation model
|Provide key papers on model if any=Key Papers:
*'''Hoos , A.B. and G. McMahon, 2009, Spatial analysis of instream nitrogen loads and factors controlling nitrogen delivery to streams in the southeastern United States using Spatially Referenced Regression on Watershed Attributes (SPARROW) and regional classification frameworks, Hydrological Processes, Doi: ([http://dx.doi.org/10.1002/hyp.7323 10.1002/hyp.7323]).'''
*'''Robertson , D.M., Schwarz, G.E., Saad, D.A., and Alexander, R.B., 2009, Incorporating uncertainty into the ranking of SPARROW model nutrient yields from Mississippi/Atchafalaya River basin watersheds, Journal of the American Water Resources Association, 42, 534-549, Doi: ([http://dx.doi.org/10.1111/j.1752-1688.2009.00310.x 10.1111/j.1752-1688.2009.00310.x]).'''
*'''Schwarz, G. E., Hoos, A. B., Alexander, R. B., Smith, R. A., The SPARROW Surface Water-Quality Model: Theory, Application and User Documentation.'''
*'''Simth, R. A., Schwarz, G. E., Alexander, R. B., 1997. Regional interpretation of water-quality monitoring data. Water Resources Research, 33(12): 2781~2798, Doi:([http://dx.doi.org/10.1029/97WR02171 10.1029/97WR02171]).'''
*'''Schwarz, G.E., 2008, A Preliminary SPARROW model of suspended sediment for the conterminous United States, U.S. Geological Survey Open-File Report 2008–1205, 8 p.'''
Other Papers:
* Alexander, R.B., Böhlke, J.K., Boyer, E.W., David, M.B., Harvey, J.W., Mulholland, P.J., Seitzinger, S.P., Tobias, C.R., Tonitto, C., and Wollheim, W.M., 2009. Dynamic modeling of nitrogen losses in river networks unravels the coupled effects of hydrological and biogeochemical processes, Biogeochemistry, 93,1/2, 91-116. DOI: ([http://dx.doi.org/10.1007/s110533-008-9274-8 10.1007/s110533-008-9274-8]).
* Alexander, R.B., Smith, R.A., Schwarz, G.E., Boyer, E.W., Nolan, J.V., and Brakebill, J.W., 2008, Differences in phosphorus and nitrogen delivery to the Gulf of Mexico from the Mississippi River Basin, Environ. Sci. Technol., 42, 3, 822-830. DOI: ([http://dx.doi.org/10.1021/es0716103 10.1021/es0716103]).
* Böhlke, J.K., Antweiler, R.C., Harvey, J.W., Laursen, A.E., Smith, L.K., Smith, R.L., and Voytek, M.A., 2009, Multi-scale measurements and modeling of denitrification in streams with varying flow and nitrate concentration in the upper Mississippi River basin, USA, Biogeochemistry, 93,1/2, 117-141. DOI: ([http://dx.doi.org/10.1007/s10533-008-9282-8 10.1007/s10533-008-9282-8]).
* Harrison, J.A., Maranger, R.J., Alexander, R.B., Giblin, A.E., Jacinthe, P.A., Mayorga, E., Seitzinger, S.P., Sobata, D.J., and Wollheim, W.M., 2009, The regional and global significance of nitrogen removal in lakes and reservoirs, Biogeochemistry, 93, 1/2, 143-157. Doi: ([http://dx.doi.org/10.1007/s10533-008-9272-x 10.1007/s10533-008-9272-x]).
* Preston, S.D., Alexander, R.B., Woodside, M.D., and Hamilton, P.A., 2009. SPARROW MODELING--Enhancing Understanding of the Nation's Water Quality, U.S. Geological Survey Fact Sheet 2009-3019, 6 p.
|Manual model available=Yes
|Manual model available=Yes
|Model website if any=http://water.usgs.gov/nawqa/sparrow/
|Model website if any=http://water.usgs.gov/nawqa/sparrow/

Revision as of 15:54, 25 June 2013



SPARROW


Metadata

Also known as
Model type Single
Model part of larger framework
Note on status model
Date note status model
Spatial dimensions 2D
Spatial extent Continental, Regional-Scale, Landscape-Scale, Watershed-Scale
Model domain
One-line model description The SPARROW Surface Water-Quality Model
Extended model description SPARROW (SPAtially Referenced Regressions On Watershed attributes) is a watershed modeling technique for relating water-quality measurements made at a network of monitoring stations to attributes of the watersheds containing the stations. The core of the model consists of a nonlinear regression equation describing the non-conservative transport of contaminants from point and diffuse sources on land to rivers and through the stream and river network. The model predicts contaminant flux, concentration, and yield in streams and has been used to evaluate alternative hypotheses about the important contaminant sources and watershed properties that control transport over large spatial scales.
Keywords:

biogeochemistry, water quality,

Name Richard Alexander
Type of contact Model developer
Institute / Organization USGS, NAWQA Hydrologic Systems Team
Postal address 1 12201 Sunrise Valley Drive, MS 413
Postal address 2
Town / City Reston
Postal code 20192
State Virginia
Country USA"USA" is not in the list (Afghanistan, Albania, Algeria, Andorra, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, ...) of allowed values for the "Country" property.
Email address ralex@usgs.gov
Phone 703-648-6869
Fax


Name Steve Preston
Type of contact Model developer
Institute / Organization
Postal address 1
Postal address 2
Town / City
Postal code
State
Country USA"USA" is not in the list (Afghanistan, Albania, Algeria, Andorra, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, ...) of allowed values for the "Additional country" property.
Email address spreston@usgs.gov
Phone
Fax


Name Gregory Schwarz
Type of contact
Institute / Organization
Postal address 1
Postal address 2
Town / City
Postal code
State
Country USA"USA" is not in the list (Afghanistan, Albania, Algeria, Andorra, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, ...) of allowed values for the "Additional country" property.
Email address gschwarz@usgs.gov
Phone
Fax


Name Richard Smith
Type of contact
Institute / Organization
Postal address 1
Postal address 2
Town / City
Postal code
State
Country USA"USA" is not in the list (Afghanistan, Albania, Algeria, Andorra, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, ...) of allowed values for the "Additional country" property.
Email address rsmith1@usgs.gov
Phone
Fax


Supported platforms
Windows
Other platform
Programming language

Other program language SAS Macro Language, SAS IML
Code optimized Single Processor
Multiple processors implemented
Nr of distributed processors
Nr of shared processors
Start year development 1992
Does model development still take place? Yes
If above answer is no, provide end year model development
Code development status
When did you indicate the 'code development status'?
Model availability As code
Source code availability
(Or provide future intension)
Through web repository
Source web address http://water.usgs.gov/nawqa/sparrow/
Source csdms web address
Program license type Other
Program license type other NOT SURE
Memory requirements --
Typical run time --


Describe input parameters SPARROW modeling requires the integration of many types of geospatial data for use as explanatory variables which are considered as either constituent sources or delivery factors. Sources might include certain land types such as urban area, or known contaminant sources such as sewage treatment plants. Delivery terms can include any basin characteristic that may be associated with natural attenuation. For example, denitrification is often associated with certain soil characteristics and the spatial pattern of those soil characteristics is often related to that of constituent loads. In some cases delivery terms might also be associated with enhanced delivery. For example, high basin slope might cause more rapid flows which could increase the delivery of constituents. Delivery is also influenced by the water time of travel in streams, which can be estimated from published USGS time-of-travel studies (e.g., Reed and Stuckey, 2001).
Input format ASCII, Binary
Other input format
Describe output parameters SPARROW is designed to describe the spatial patterns in water quality and the factors that affect it. SPARROW models are developed using mass balance constraints to quantify the relation between stream constituent load (the mass of the constituent being transported by the stream) and the sources and losses of mass in watersheds. Thus the models are inherently designed to predict load (mass per time) for all stream reaches in the modeling region. However, the predictions of stream load can be modified to provide a variety of water-quality metrics that can support various types of assessments.

The SPARROW prediction metrics include constituent yields, concentrations, and source contributions to stream loads:

  • Constituent yields
  • Constituent concentrations
  • Source contributions to stream loads
Output format Binary
Other output format
Pre-processing software needed? No
Describe pre-processing software
Post-processing software needed? No
Describe post-processing software
Visualization software needed? No
If above answer is yes
Other visualization software


Describe processes represented by the model --
Describe key physical parameters and equations --
Describe length scale and resolution constraints --
Describe time scale and resolution constraints --
Describe any numerical limitations and issues --


Describe available calibration data sets
Upload calibration data sets if available:
Describe available test data sets
Upload test data sets if available:
Describe ideal data for testing


Do you have current or future plans for collaborating with other researchers? --
Is there a manual available? Yes
Upload manual if available:
Model website if any http://water.usgs.gov/nawqa/sparrow/
Model forum / discussion board --
Comments This form is filled out by Albert Kettner, based on the SPARROW website


This part will be filled out by CSDMS staff

OpenMI compliant No not possible
BMI compliant No not possible
WMT component Not yet"Not yet" is not in the list (Yes, In progress, No but possible, No not possible) of allowed values for the "Code CMT compliant or not" property.
PyMT component
Is this a data component
Can be coupled with:
Model info
Richard Alexander
Preston, Schwarz, Smith
Nr. of publications: 35
Total citations: 3508
h-index: 21
m-quotient: 0.78
Qrcode SPARROW.png
Link to this page



Introduction

History

References


Source code

Suggested way to reference a version of the model source code following data reference guidelines:


The part "]]" of the query was not understood.</br>Results might not be as expected.
Publication(s)Model describedCitations


Overview and general


The part "]]" of the query was not understood.</br>Results might not be as expected.
Publication(s)Model describedCitations


Applications


The part "]]" of the query was not understood.</br>Results might not be as expected.
Publication(s)Model describedCitations


Related theory and data


The part "]]" of the query was not understood.</br>Results might not be as expected.
Publication(s)Model describedCitations

Issues

Help

Input Files

Output Files