Deriving a dataset for agriculturally relevant soils from the Soil Landscapes of Canada (SLC) database for use in Soil and Water Assessment Tool (SWAT) simulations
The Soil and Water Assessment Tool (SWAT) model has been commonly used in Canada for hydrological and water quality simulations. However, preprocessing of critical data such as soils information can be laborious and time-consuming. The objective of this work was to preprocess the Soil Landscapes of...
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Copernicus Publications
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Online Access: | https://doi.org/10.5194/essd-10-1673-2018 https://doaj.org/article/1c4d5cc402f0448db39982ae9a27bcd7 |
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ftdoajarticles:oai:doaj.org/article:1c4d5cc402f0448db39982ae9a27bcd7 2023-05-15T17:54:50+02:00 Deriving a dataset for agriculturally relevant soils from the Soil Landscapes of Canada (SLC) database for use in Soil and Water Assessment Tool (SWAT) simulations M. R. C. Cordeiro G. Lelyk R. Kröbel G. Legesse M. Faramarzi M. B. Masud T. McAllister 2018-09-01T00:00:00Z https://doi.org/10.5194/essd-10-1673-2018 https://doaj.org/article/1c4d5cc402f0448db39982ae9a27bcd7 EN eng Copernicus Publications https://www.earth-syst-sci-data.net/10/1673/2018/essd-10-1673-2018.pdf https://doaj.org/toc/1866-3508 https://doaj.org/toc/1866-3516 doi:10.5194/essd-10-1673-2018 1866-3508 1866-3516 https://doaj.org/article/1c4d5cc402f0448db39982ae9a27bcd7 Earth System Science Data, Vol 10, Pp 1673-1686 (2018) Environmental sciences GE1-350 Geology QE1-996.5 article 2018 ftdoajarticles https://doi.org/10.5194/essd-10-1673-2018 2022-12-31T01:33:10Z The Soil and Water Assessment Tool (SWAT) model has been commonly used in Canada for hydrological and water quality simulations. However, preprocessing of critical data such as soils information can be laborious and time-consuming. The objective of this work was to preprocess the Soil Landscapes of Canada (SLC) database to offer a country-level soils dataset in a format ready to be used in SWAT simulations. A two-level screening process was used to identify critical information required by SWAT and to remove records with information that could not be calculated or estimated. Out of the 14 063 unique soil records in the SLC, 11 838 records with complete information were included in the dataset presented here. Important variables for SWAT simulations that are not reported in the SLC database (e.g., hydrologic soils groups (HSGs) and erodibility factor ( K )) were calculated from information contained within the SLC database. These calculations, in fact, represent a major contribution to enabling the present dataset to be used for hydrological simulations in Canada using SWAT and other comparable models. Analysis of those variables indicated that 21.3 %, 24.6 %, 39.0 %, and 15.1 % of the soil records in Canada belong to HSGs 1, 2, 3, and 4, respectively. This suggests that almost two-thirds of the soil records have a high (i.e., HSG 4) or relatively high (i.e., HSG 3) runoff generation potential. A spatial analysis indicated that 20.0 %, 26.8 %, 36.7 %, and 16.5 % of soil records belonged to HSG 1, HSG 2, HSG 3, and HSG 4, respectively. Erosion potential, which is inherently linked to the erodibility factor ( K ), was associated with runoff potential in important agricultural areas such as southern Ontario and Nova Scotia. However, contrary to initial expectations, low or moderate erosion potential was found in areas with high runoff potential, such as regions in southern Manitoba (e.g., Red River Valley) and British Columbia (e.g., Peace River watershed). This dataset will be a unique resource to a variety of ... Article in Journal/Newspaper Peace River Directory of Open Access Journals: DOAJ Articles Canada British Columbia ENVELOPE(-125.003,-125.003,54.000,54.000) Earth System Science Data 10 3 1673 1686 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Environmental sciences GE1-350 Geology QE1-996.5 |
spellingShingle |
Environmental sciences GE1-350 Geology QE1-996.5 M. R. C. Cordeiro G. Lelyk R. Kröbel G. Legesse M. Faramarzi M. B. Masud T. McAllister Deriving a dataset for agriculturally relevant soils from the Soil Landscapes of Canada (SLC) database for use in Soil and Water Assessment Tool (SWAT) simulations |
topic_facet |
Environmental sciences GE1-350 Geology QE1-996.5 |
description |
The Soil and Water Assessment Tool (SWAT) model has been commonly used in Canada for hydrological and water quality simulations. However, preprocessing of critical data such as soils information can be laborious and time-consuming. The objective of this work was to preprocess the Soil Landscapes of Canada (SLC) database to offer a country-level soils dataset in a format ready to be used in SWAT simulations. A two-level screening process was used to identify critical information required by SWAT and to remove records with information that could not be calculated or estimated. Out of the 14 063 unique soil records in the SLC, 11 838 records with complete information were included in the dataset presented here. Important variables for SWAT simulations that are not reported in the SLC database (e.g., hydrologic soils groups (HSGs) and erodibility factor ( K )) were calculated from information contained within the SLC database. These calculations, in fact, represent a major contribution to enabling the present dataset to be used for hydrological simulations in Canada using SWAT and other comparable models. Analysis of those variables indicated that 21.3 %, 24.6 %, 39.0 %, and 15.1 % of the soil records in Canada belong to HSGs 1, 2, 3, and 4, respectively. This suggests that almost two-thirds of the soil records have a high (i.e., HSG 4) or relatively high (i.e., HSG 3) runoff generation potential. A spatial analysis indicated that 20.0 %, 26.8 %, 36.7 %, and 16.5 % of soil records belonged to HSG 1, HSG 2, HSG 3, and HSG 4, respectively. Erosion potential, which is inherently linked to the erodibility factor ( K ), was associated with runoff potential in important agricultural areas such as southern Ontario and Nova Scotia. However, contrary to initial expectations, low or moderate erosion potential was found in areas with high runoff potential, such as regions in southern Manitoba (e.g., Red River Valley) and British Columbia (e.g., Peace River watershed). This dataset will be a unique resource to a variety of ... |
format |
Article in Journal/Newspaper |
author |
M. R. C. Cordeiro G. Lelyk R. Kröbel G. Legesse M. Faramarzi M. B. Masud T. McAllister |
author_facet |
M. R. C. Cordeiro G. Lelyk R. Kröbel G. Legesse M. Faramarzi M. B. Masud T. McAllister |
author_sort |
M. R. C. Cordeiro |
title |
Deriving a dataset for agriculturally relevant soils from the Soil Landscapes of Canada (SLC) database for use in Soil and Water Assessment Tool (SWAT) simulations |
title_short |
Deriving a dataset for agriculturally relevant soils from the Soil Landscapes of Canada (SLC) database for use in Soil and Water Assessment Tool (SWAT) simulations |
title_full |
Deriving a dataset for agriculturally relevant soils from the Soil Landscapes of Canada (SLC) database for use in Soil and Water Assessment Tool (SWAT) simulations |
title_fullStr |
Deriving a dataset for agriculturally relevant soils from the Soil Landscapes of Canada (SLC) database for use in Soil and Water Assessment Tool (SWAT) simulations |
title_full_unstemmed |
Deriving a dataset for agriculturally relevant soils from the Soil Landscapes of Canada (SLC) database for use in Soil and Water Assessment Tool (SWAT) simulations |
title_sort |
deriving a dataset for agriculturally relevant soils from the soil landscapes of canada (slc) database for use in soil and water assessment tool (swat) simulations |
publisher |
Copernicus Publications |
publishDate |
2018 |
url |
https://doi.org/10.5194/essd-10-1673-2018 https://doaj.org/article/1c4d5cc402f0448db39982ae9a27bcd7 |
long_lat |
ENVELOPE(-125.003,-125.003,54.000,54.000) |
geographic |
Canada British Columbia |
geographic_facet |
Canada British Columbia |
genre |
Peace River |
genre_facet |
Peace River |
op_source |
Earth System Science Data, Vol 10, Pp 1673-1686 (2018) |
op_relation |
https://www.earth-syst-sci-data.net/10/1673/2018/essd-10-1673-2018.pdf https://doaj.org/toc/1866-3508 https://doaj.org/toc/1866-3516 doi:10.5194/essd-10-1673-2018 1866-3508 1866-3516 https://doaj.org/article/1c4d5cc402f0448db39982ae9a27bcd7 |
op_doi |
https://doi.org/10.5194/essd-10-1673-2018 |
container_title |
Earth System Science Data |
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10 |
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1673 |
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1686 |
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