Bibliographic citations
Caycho, L., (2020). Modelación geoespacial con SIG en la identificación de las zonas vulnerables y cuantificación de la erosión hídrica, Cuenca del Río Huarmey [Universidad Nacional Agraria La Molina]. https://hdl.handle.net/20.500.12996/4669
Caycho, L., Modelación geoespacial con SIG en la identificación de las zonas vulnerables y cuantificación de la erosión hídrica, Cuenca del Río Huarmey []. PE: Universidad Nacional Agraria La Molina; 2020. https://hdl.handle.net/20.500.12996/4669
@misc{renati/1115844,
title = "Modelación geoespacial con SIG en la identificación de las zonas vulnerables y cuantificación de la erosión hídrica, Cuenca del Río Huarmey",
author = "Caycho Torres, Lizbeth Rocío",
publisher = "Universidad Nacional Agraria La Molina",
year = "2020"
}
The present research work was developed in the Huarmey river basin, which covers part of the Huarmey, Aija and Recuay provinces from the Ancash region. This basin has a coastal region with low rainfall, and a mountain region where heavy annual rainfall occurs, making this zone the most vulnerable to water erosion. However, in March 2017, the phenomenon known as Niño Costero occurred, which caused flash floods in the coastal region. These environmental situations revealed which areas were sensitive to flooding and water erosion, and were identified through geospatial modeling. First, the flash flood map was developed based on the study carried out by Wahid et al. in 2016, using the layers of slope, infiltration capacity, shape factor and land use/land cover to identify the areas that were most likely to be flooded as a result of unusually heavy rains. The result of the weighted overlay of these four layers established that the urban areas, the valley and the alluvial deposits presented a high vulnerability to these floods. A second flood model was carried out using the same procedure, but this time the rainfall factor was considered, allowing a better identification of the flood prone areas. The third model was of physical vulnerability, which showed that the areas with High vulnerability were located in the highlands of the basin, because of the steep slopes and heavy rainfall of that region. Finally, the soil loss due to erosion was quantified thanks to the Universal Soil Loss Equation (USLE), which required the variables of rainfall, soils, slopes and coverage. This model showed that the zones with the highest amounts of soil loss were the ones with high vulnerability, between 50 and 200 t/ha.year; and with very high vulnerability, greater than 200 t/ha.year.
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