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
<p>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 L...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2018-09-01
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Series: | Earth System Science Data |
Online Access: | https://www.earth-syst-sci-data.net/10/1673/2018/essd-10-1673-2018.pdf |
Summary: | <p>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 (<i>K</i>)) 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 (<i>K</i>), 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 research communities
including hydrological, agricultural, and water quality modelers and is
publicly available at <a href="https://doi.org/10.1594/PANGAEA.877298" target="_blank">https://doi.org/10.1594/PANGAEA.877298</a>.</p> |
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ISSN: | 1866-3508 1866-3516 |