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Binational dataset used to develop nutrient SPARROW models for the Midcontinental region of Canada and the United States

Par Conseil national de recherches du Canada

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  1. (NUTRIENTSPARROWMODELS_BINATIONALDATASET.ZIP, 811.4 Mio)
DOITrouver le DOI : https://doi.org/10.4224/300.0001
AuteurRechercher : 1Identifiant ORCID : https://orcid.org/0000-0002-9134-6933; Rechercher : 1Identifiant ORCID : https://orcid.org/0000-0002-4822-3962; Rechercher : 2Identifiant ORCID : https://orcid.org/0000-0002-5697-1346; Rechercher : 3; Rechercher : 2Identifiant ORCID : https://orcid.org/0000-0001-6559-6181; Rechercher : 4; Rechercher : 3Identifiant ORCID : https://orcid.org/0000-0001-6530-7220; Rechercher : 2Identifiant ORCID : https://orcid.org/0000-0001-6799-0596; Rechercher : 3
Affiliation
  1. Conseil national de recherches du Canada. Génie océanique, côtier et fluvial
  2. United States Geological Survey
  3. International Joint Commission
  4. Ontario Ministry of Natural Resources and Forestry
FormatTexte, Ensemble de données
Description physique1 fichier zip contenant readme.txt, data1_midcont.txt, et fichiers de données géospatiales vectorielles midcont_reaches.zip et midcont_catchments.zip
SujetSPARROW; modélisation de la qualité de l'eau; modélisation de grands bassins hydrographiques; données à référence spatiale; chargement de nutriments; azote; phosphore; CMI; réseau de ruisseaux; sources de nutriments; SIG; livraison d'éléments nutritifs; pollution de sources diffuses; pollution de sources ponctuelles; Grands lacs; Rainy River; Lake of the Woods; Rouge-Assiniboine; Upper Mississippi River; Ohio River
Résumé
The SPAtially Referenced Regressions On Watershed attributes (SPARROW) model was developed by the United States Geological Survey’s (USGS) to aid in the interpretation of monitoring data and simulate water-quality conditions in streams across large spatial scales. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in streams. The spatially explicit model structure is defined by a river reach network coupled with contributing catchments. The SPARROW model utilizes catchment-scale stream reach, constituent source and watershed characteristics to simulate monitoring-based water-quality load estimates. The binational Midcontinent SPARROW model applications examining nutrients (i.e. phosphorus and nitrogen) for the 2002 base year are described in Robertson et al. (2018, in review). The origin and development of data used to build the Midcontinent SPARROW models are described in Vouk et al. (2018) (https://doi.org/10.4224/23004810). Load estimates used in these models are described in Saad et al. (2018) (https://doi.org/10.3133/sir20185051). This dataset, prepared in cooperation with the International Joint Commission, the National Research Council of Canada and the USGS, contains all of the attributes necessary to create the inputs needed for the Midcontinent SPARROW models. The period of record covers 1970-2012. • Network and catchments are relevant for 2002 and 2012 base year models. • Input data (source & delivery data) are relevant to 2002 base year model. Both midcont_reaches and midcont_catchment Shapefiles contain ISO 19115 NAP geospatial metadata. The data extent covers the Midcontinental region of North America. This large area covers approximately 1,850,000 sq km and spans portions of Saskatchewan, Manitoba, and Ontario in Canada, and portions of 19 states in the upper Midwest and Great Lakes area of the US. The following projection was used: • Projected Coordinate System: NAD_1983_Albers • Projection: Albers • False_Easting: 0.00000000 • False_Northing: 0.00000000 • Central_Meridian: -96.00000000 • Standard_Parallel_1: 29.50000000 • Standard_Parallel_2: 45.50000000 • Latitude_Of_Origin: 23.00000000 • Linear Unit: Meter • Geographic Coordinate System: GCS_North_American_1983 • Datum: D_North_American_1983 • Prime Meridian: Greenwich • Angular Unit: Degree
Date de publication
Maison d’éditionConseil national de recherches du Canada
Déclaration de droit d’auteur
  • © 2018 Conseil national de recherches du Canada
Publication connexe
  • Vouk, Ivana, Richard S. Burcher, Craig M. Johnston, R. Wayne Jenkinson, David A. Saad, John S. Gaiot, Glenn A. Benoy, Dale M. Robertson, et Michael Laitta. « Geospatial data for developing nutrient SPARROW models for the Midcontinental region of Canada and the United States ». National Research Council of Canada, 21 décembre 2018. https://doi.org/10.4224/23004810.
Supplément au titre
  • Robertson, Dale M., David A. Saad, Glenn A. Benoy, Ivana Vouk, Gregory E. Schwarz, et Michael T. Laitta. « Phosphorus and Nitrogen Transport in the Binational Great Lakes Basin Estimated Using SPARROW Watershed Models ». JAWRA Journal of the American Water Resources Association 55, nᵒ 6 (3 septembre 2019): 1401‑24. .
  • Saad, David A., Glenn A. Benoy, et Dale M. Robertson. « Estimates of long-term mean-annual nutrient loads considered for use in SPARROW models of the Midcontinental region of Canada and the United States, 2002 base year ». Scientific Investigations Report, 2018. .
Note*******************************************************************
Contribution future inclura le modèle de l'année de base 2012
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Fréquence de mise à jour : aucune
Langueanglais
Exporter la noticeExporter en format RIS
CollectionDonnées de recherche du CNRC
Identificateur de l’enregistrement5d38a14e-16cb-4441-bcff-05efad6f4f0c
Enregistrement créé2018-11-05
Enregistrement modifié2022-05-09
Date de modification :