Estimativa de perda de solo por erosão laminar em função de suas características e diferentes níveis de precipitação

Abstract

Due to the increasing loss of productive capacity of Brazilian soils over decades of inadequate use and management and the growing need to produce food and fuel, soil erosion poses a challenge to the sustainability of agricultural production. In order to find ways to predict erosion and mitigate its impacts, several methods have been developed, with modeling being an important tool used to obtain reliable estimates of soil loss predictions and also for the planning of measures to control this phenomenon. In spite of several studies, modeling of the erosive process is complex and most of the methods do not take into account the spatial variability of the factors that influence erosion. Thus, the present work aimed to develop a model that allows the identification of areas susceptible to laminar erosion in soil worked with precision agriculture (AP). For this, soil samples from three properties in the western region of Paraná will be used, one in the city of Céu Azul and two in Serranópolis do Iguaçu. The data were subjected to statistical and geostatistical analysis and data interpolation by kriging. After this stage, the factors for estimating soil loss were calculated and thematic maps were generated. Such maps were integrated through map algebra, resulting in the identification model of areas susceptible to erosion. Area A showed low and medium susceptibility, being more influenced by the topographic factor and erodibility factor, while areas B and C showed low susceptibility, being more influenced by the topographic factor.