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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

机译:从加拿大土壤景观(SLC)数据库中获得农业相关土壤的数据集,以用于土壤和水评估工具(SWAT)模拟

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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).
机译:土壤和水评估工具(SWAT)模型已在加拿大普遍用于水文和水质模拟。然而,诸如土壤信息之类的关键数据的预处理可能是费力且费时的。这项工作的目的是对加拿大的土壤景观(SLC)数据库进行预处理,以提供可用于SWAT模拟的格式的国家级土壤数据集。使用两个级别的筛选过程来识别SWAT所需的关键信息,并删除包含无法计算或估计的信息的记录。在SLC中14?063个独特的土壤记录中,此处提供的数据集中包含11?838个具有完整信息的记录。 SLC数据库中未报告的SWAT模拟重要变量(例如,水土土壤组(HSG)和易蚀性因子(K))已计算出来。这些计算实际上代表了使用SWAT和其他可比较模型将本数据集用于加拿大水文模拟的重要贡献。对这些变量的分析表明,加拿大土壤记录中分别有21.3%,24.6%,39.0%和15.1%属于HSGs 1、2、3和4。这表明几乎三分之二的土壤记录具有较高的(即HSG 4)或相对较高的(即HSG 3)径流产生潜力。空间分析表明,土壤记录的20.0%,26.8%,36.7%和16.5%分别属于HSG 1,HSG 2,HSG 3和HSG 4。与侵蚀性因子(K)固有相关的侵蚀潜力与重要农业地区(如安大略省南部和新斯科舍省)的径流潜力有关。但是,与最初的预期相反,在具有高径流潜力的地区,例如曼尼托巴省南部(例如,红河谷)和不列颠哥伦比亚省(例如,和平河流域),发现了较低或中等的侵蚀潜力。

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