Preprint Article Version 1 This version is not peer-reviewed

Sediment Yield in a Watershed Characterized by Expansion of Sugarcane

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. Preprints 2017, 2017110111 (doi: 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 (doi: 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.

Subject Areas

SWAT; ArcGIS; simulations scenarios; sediment yield

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