Citas bibligráficas
Escobar, M., (2019). Mitigación de la erosión hídrica para la conservación del suelo en la subcuenca del río Ichu, Huancavelica [Tesis, Universidad Nacional Agraria La Molina]. https://hdl.handle.net/20.500.12996/4156
Escobar, M., Mitigación de la erosión hídrica para la conservación del suelo en la subcuenca del río Ichu, Huancavelica [Tesis]. : Universidad Nacional Agraria La Molina; 2019. https://hdl.handle.net/20.500.12996/4156
@mastersthesis{renati/1117123,
title = "Mitigación de la erosión hídrica para la conservación del suelo en la subcuenca del río Ichu, Huancavelica",
author = "Escobar Soldevilla, Mabel Yesica",
publisher = "Universidad Nacional Agraria La Molina",
year = "2019"
}
Soil is one of the most important and most threatened resources, soil erosion not only Soil is one of the most important and most threatened resources, soil erosion not only decreases agricultural productivity, but also reduces water availability, so assessing the risk of water erosion is paramount to promote strategies conservation facilities. The Revised Universal Soil Loss Equation (RUSLE), remote sensing, and GIS tools were used to estimate the annual soil loss in the Ichu River Subbasin. QGIS 3.2 and Python programs were used as a tool for analyzing and geoprocessing factors R, K, LS, C, and P. In addition, with Sentinel 2B satellite information the current land-use map was obtained, to determine the new factor C, as well as alternatives of conservation practices generating a new factor P, therefore four scenarios of Modeling. The maps resulting from the annual average soil erosion show a soil loss of 22.7 and 23.7 t ha-1 year-1, the first is modeled with the coverage factor based on the study of Ecological, Economic Mesozonification, of the Department of Huancavelica del 2013 and the second with the current coverage factor for 2018, quantified in Scenarios 1 and 2, respectively. Therefore, a proposal for alternatives to conservation practices were put forward to mitigate soil loss, quantified at 21.7 and 22.1 t ha-1 year-1 results for Scenarios 3 and 4, compared to scenario 1 and 2, respectively, showing a decrease in soil loss. Spatial erosion maps generated with the RUSLE method for the different scenarios will be effective inputs in the formulation of strategies for land planning and management in the study areas.
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