MODELING OF WATER EROSION IN A SUB-BASIN IN RIO GRANDE DO SUL USING THE RUSLE MODEL

Thais Palumbo Silva, S. Nachtigall, M. C. Nunes, Cláudia Liane Rodrigues Lima, Ana Paula Knapp
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Abstract

The intense use of farming land has caused many consequences to the environment, among them, water erosion. The scale study of river basins through modeling allows the identification and estimation of soil losses, aiming at the conservationist planning of the site. The objective of this work was to predict soil loss in the Micaela sub-basin, with an area of ??37 km2 located in the municipality of Pelotas, Rio Grande do Sul. For the prediction of soil loss, the Revised Universal Soil Loss Equation (RUSLE) was used. Erosivity was obtained from data from the literature and erodibility was estimated by means of the inherent soil attributes and the topographic factor calculated according to the accumulated flow and declivity in each pixel. For the cover factor, data from the literature were used, according to use recommendation and existing soil cover. The study area shows a strong erosivity, which ranged from 8,045 to 8,833 MJ mm ha-1 h-1 year-1. The Argissolos occupy 81.31% of the sub-basin and present high erodibility, varying from 0.0369 to 0.0422 Mg ha h ha-1 MJ-1 mm -1. The sites with the largest vegetation cover were those with the lowest soil losses. However, in more than 36% of the area, the soil losses are above the tolerable therehsold, indicating that they are more prone to degradation and, therefore, the systems of land use and adopted management should be reviewed.
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用rusle模型模拟大南里约热内卢盆地的水侵蚀
耕地的大量使用对环境造成了许多后果,其中包括水土流失。通过建模对河流流域进行规模研究,可以识别和估计土壤损失,旨在进行场地的自然保护主义规划。这项工作的目的是预测米凯拉次盆地的土壤损失,面积为??37平方公里,位于南里奥格兰德州佩洛塔斯市。对于土壤损失的预测,使用了修正的通用土壤损失方程(RUSLE)。侵蚀性是从文献数据中获得的,侵蚀性是通过固有的土壤属性和根据每个像素的累积流量和坡度计算的地形因子来估计的。对于覆盖系数,根据使用建议和现有土壤覆盖,使用了文献中的数据。研究区域显示出强烈的侵蚀性,其范围为8045至8833 MJ mm ha-1 h-1年-1。Argissolos占子盆地的81.31%,具有较高的可蚀性,变化范围为0.0369至0.0422 Mg ha h ha-1 MJ-1 mm-1。植被覆盖率最高的地区是土壤损失最低的地区。然而,在超过36%的地区,土壤损失超过了可容忍的水平,这表明它们更容易退化,因此,应该审查土地利用和采用的管理制度。
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24 weeks
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