Determining the Soil Erodibility for an Experimental Basin in the Semi-Arid Region Using Geoprocessing

• 作者: Aldênia Mendes Masceno de Almeida Ana Caroline Messias de Magalh?es Erich Celestino Braga Pereira Eunice Maia de Andrade Fernando Bezerra Lopes Francisco Emanoel Firmino Gomes
• 来源期刊: 美国植物学期刊(英文)
• 学科: 医学
• 关键词: EROSION UNIVERSAL Soil LOSS Equation GEOSTATISTICS
• 年，卷（期）: mgzwxqkyw_2017,（12）
• 页码范围: 3174-3188
• 页数: 15页
• 分类号: R73

摘要

Erosion is the natural process which has the greatest environmental impact, and is the principal trigger for desertification around the globe. The main model used to estimate soil loss by erosion is the Universal Soil Loss Equation (USLE), which unites the major factors that influence erosion into one equation. The soil erodibility factor (K) is the component of this equation that represents soil physics, and is defined as the inherent capacity of the soil to withstand disintegration of its particles and their subsequent transport. The use of geostatistics is seen as an alternative in spatializing this variable from sampled to non-sampled points. The aim of this study therefore, was to determine the soil erodibility factor for an experimental basin in the semi-arid region of Brazil, in addition to generating the soil erodibility map using geostatistics. Disturbed and undisturbed soil samples were collected from 35 points, and laboratory samples were processed to determine the granulometry, permeability and organic matter of the soil, data which are used to determine the K-factor. Kriging was performed to spatialize the study variable, when spherical, exponential and Gaussian semivariograms were tested for generation of the soil erodibility map, these being evaluated by their respective deviations resulting from cross-validation. The mean value of K for the Haplic Luvisol was 0.0328 ton·ha·h/ha·MJ·mm;for the eutrophic Red-Yellow Argisol it was 0.0258 ton·ha·h/ha·MJ·mm;and for the Fluvic Neosol, it was 0.0424 ton·ha·h/ha·MJ·mm. The experimental basin is classified as highly erodible. The semivariogram that presented the best fit for generating the soil erodibility map of the study area was Gaussian.