Version 1
: Received: 16 November 2017 / Approved: 16 November 2017 / Online: 16 November 2017 (17:53:56 CET)
How to cite:
Moreira Rocha, A.; Leite de Moraes, J.F.; Clerici de Maria, I. Sediment Yield in a Watershed Characterized by Expansion of Sugarcane. Preprints2017, 2017110111. https://doi.org/10.20944/preprints201711.0111.v1
Moreira Rocha, A.; Leite de Moraes, J.F.; Clerici de Maria, I. Sediment Yield in a Watershed Characterized by Expansion of Sugarcane. Preprints 2017, 2017110111. https://doi.org/10.20944/preprints201711.0111.v1
Moreira Rocha, A.; Leite de Moraes, J.F.; Clerici de Maria, I. Sediment Yield in a Watershed Characterized by Expansion of Sugarcane. Preprints2017, 2017110111. https://doi.org/10.20944/preprints201711.0111.v1
APA Style
Moreira Rocha, A., Leite de Moraes, J.F., & Clerici de Maria, I. (2017). Sediment Yield in a Watershed Characterized by Expansion of Sugarcane. Preprints. https://doi.org/10.20944/preprints201711.0111.v1
Chicago/Turabian Style
Moreira Rocha, A., Jenner Fernando Leite de Moraes and Isabella Clerici de Maria. 2017 "Sediment Yield in a Watershed Characterized by Expansion of Sugarcane" Preprints. https://doi.org/10.20944/preprints201711.0111.v1
Abstract
This study presents results of the sediment yield Watershed of Ribeirão do Pinhal, in the city of Limeira, São Paulo, conducted under three different scenarios of the land use: 1 – land use in 2008, 2 – with reforested protection areas, 3 – the increase sugarcane's areas over grassland and citrus areas. The Soil and Water Assessment Tool (SWAT) was used as a hydro-sedimentological modeling tool to simulate these scenarios. This watershed was divided into five sub-watersheds according to the prevalent use, and adjustments were made in soils database parameters and cultures that are in SWAT, to adapt it to the Brazilian reality. Was used climatological data of eight years (2007-2014) for this modeling. Different sediment yield could be noted in the different types of land use, sub-watersheds and scenarios. The uses that presented higher sediment yield, in ascending order, were: natural vegetation, sugarcane, citrus, annual crop e grassland. Sub-watershed number 2 had the highest sediment yield (~10Mg.ha-1), while the sub-watershed 5, the lowest (5.51Mg.ha-1). This remained in the three scenarios. Overall, scenario 2 had the lowest sediment yield (7.74Mg.ha-1). Scenario 1 had 8.37 Mg.ha-1 and scenario 3, 8.58Mg.ha-1. SWAT was considered efficient to simulate the sediment yield by scenarios and by use, combining different thematic and tabular data when performing the necessary adjustments on their original database.
Environmental and Earth Sciences, Environmental Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
