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| Cassol,Elemar Antonino; Silva,Tiago Stumpf da; Eltz,Flávio Luiz Foletto; Levien,Renato. |
| ABSTRACT: Erodibility represents the intrinsic susceptibility of the soil to the erosion process, represented by the K factor in the Universal Soil Loss Equation (USLE). In Brazil, there are few field experiments determined with a series larger than ten years of data, which are the most reliable for quantifying the K factor. The aim of this study was to determine the K factor of the USLE by the direct method, relating soil losses determined in the field under standard conditions to erosivity of rains, and by the analytic method, applying the Wischmeier nomograph. The data on soil loss by water erosion were obtained in a field experiment under natural rainfall conditions from 1976 to 1989 in an Ultisol at the Agronomic Experimental Station in Eldorado do... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Water erosion; Soil loss; Soil properties; Erosion modeling; Surface runoff. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832018000100518 |
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| Silva,Alexandre Marco da; Casatti,Lilian; Alvares,Clayton Alcarde; Leite,Aline Maria; Martinelli,Luiz Antonio; Durrant,Steven F.. |
| Soil loss expectation and possible relationships among soil erosion, riparian vegetation and water quality were studied in the São José dos Dourados River basin, State of São Paulo, Brazil. Through Geographic Information System (GIS) resources and technology, Soil Loss Expectation (SLE) data obtained using the Universal Soil Loss Equation (USLE) model were analyzed. For the whole catchment area and for the 30 m buffer strips of the streams of 22 randomly selected catchments, the predominant land use and habitat quality were studied. Owing mainly to the high soil erodibility, the river basin is highly susceptible to erosive processes. Habitat quality analyses revealed that the superficial water from the catchments is not chemically impacted but suffers... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Erosion modeling; Expectation of soil loss map; Riparian vegetation; Water quality. |
| Ano: 2007 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162007000400004 |
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