Deriving a country-wide soils dataset from the Soil Landscapes of Canada (SLC) database for use in Soil and Water Assessment Tool (SWAT) Simulations
[2023-12-26 02:35:38]
The soil and water assessment tool (SWAT) model is commonly used in Canadian hydrology and water quality simulation. However, preprocessing of important data such as soil information can be troublesome and time-consuming. The purpose of this study was to pre-process the Canadian Soil Landscape (SLC) database to provide a national soil dataset in a format for use in SWAT simulation. Use a two-level filter to identify important information needed for SWAT and to delete records of information that can not be calculated or estimated. Among the 14,063 unique soils of SLC, 11,838 soils with complete information are included in the data set provided here. Important variables of the SWAT simulation are not reported in the SLC database (eg, hydrological soil group (HSG) and erosion coefficient (K) based on information contained in the SLC database). In fact, these calculations have made a major contribution to using SWAT and other similar models to make this data set available for Canadian hydrologic modeling. Analysis of these variables indicated that 21.3%, 24.6%, 39.0%, and 15.1% of the Canadian soils belong to HSG 1, 2, 3, and 4, respectively. This suggests that nearly two-thirds of the soil is likely to have high spillability (ie HSG 4) or relatively high (ie HSG 3). Spatial analysis showed that 20.0, 26.8, 36.7, and 16.5% of the soil belong to HSG 1, HSG 2, HSG 3, and HSG 4, respectively. The possibility of erosion is essentially related to the erosion coefficient (K) and is related to the outflow possibilities of important agricultural areas such as South Ontario and Nova Scotia. However, contrary to the initial expectations, low to moderate erosion potential was seen in high-probability areas such as South Manitoba (Red River Valley, etc.) and British Columbia (Peace River Basin) etc. The data set will be a unique resource for various research groups including hydrology, agriculture, water quality model, and it is publicly available at https://doi.org/10.1594/PANGAEA.877298a.
Based on the existing soil survey map, SLC was recompiled with a scale of 1: 100. Each area (or polygon) on the map is described by a set of standard attributes. Describe all the characteristics of various types of soils and related landscapes such as surface morphology, slope, underground water depth, permafrost, lakes and so on, which are known as soil landscapes. An SLC polygon may contain one or more different soil landscape components or it may contain a small but highly contrasting inclusive component.
The soil and water assessment tool (SWAT) model is commonly used in Canadian hydrology and water quality simulation. However, preprocessing of important data such as soil information can be troublesome and time-consuming. The purpose of this study was to pre-process the Canadian Soil Landscape (SLC) database to provide a national soil dataset in a format for use in SWAT simulation. Use a two-level filter to identify important information needed for SWAT and to delete records of information that can not be calculated or estimated. Among the 14,063 unique soils of SLC, 11,838 soils with complete information are included in the data set provided here. Key SWAT simulation variables not reported in the SLC database are calculated from the information contained in the SLC database. Spatial analysis showed that 20.0, 26.8, 36.7, and 16.5% of the soil belong to HSG 1, HSG 2, HSG 3, and HSG 4, respectively.
National soil data set from the Canadian Soil Landscape (SLC) database for Soil and Water Assessment Tool (SWAT) simulation
SLC was originally thought to be a standardized database of key attributes important for plant growth, land management and soil degradation. These data later became a useful framework to support other databases including the ecological land classification system of the Canadian Ministry of Environment.
Soil is not just a medium for plant growth. Earth is a complex interconnected system that is the basis of your favorite l