Estimation of soil erosionability in the stream basin of Pillahuinco Grande, Province of Buenos Aires, Argentina

In a hydrographic watershed, the erosionability (K factor) of the soil evaluation depends on the technical resources, developed applied sciences, and spatial technology available. For the determination of erosionability in the watershed of Pillahuinco Grande's Creek (Argentina) (38°S, 61°15...

Descripción completa

Detalles Bibliográficos
Autores principales: Gaspari, Fernanda Julia, Rodríguez Vagaría, Alfonso Martín, Senisterra, Gabriela Elba
Formato: Articulo
Lenguaje:Inglés
Publicado: 2009
Materias:
Ciencias Agrarias
GIS
Soil
Soil erosion
USLE
Watershed
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/82750
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-82750
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Agrarias
GIS
Soil
Soil erosion
USLE
Watershed
spellingShingle Ciencias Agrarias
GIS
Soil
Soil erosion
USLE
Watershed
Gaspari, Fernanda Julia
Rodríguez Vagaría, Alfonso Martín
Senisterra, Gabriela Elba
Estimation of soil erosionability in the stream basin of Pillahuinco Grande, Province of Buenos Aires, Argentina
topic_facet Ciencias Agrarias
GIS
Soil
Soil erosion
USLE
Watershed
description In a hydrographic watershed, the erosionability (K factor) of the soil evaluation depends on the technical resources, developed applied sciences, and spatial technology available. For the determination of erosionability in the watershed of Pillahuinco Grande's Creek (Argentina) (38°S, 61°15'W), the Universal Soil Loss Equation (USLE) was used by applying a geographic information system (GIS) for the cartographic evaluation. A database of geological, environmental, and soil associations was developed, which indicated that geomorphologic variability, caused by geology and soil, significantly determines the spatial variation of the K factor values, in a range from 0.02 to 0.69 ((t·m2·h)·(ha·J·cm)-1). A new quantification was determined with the simplified K factor from the USLE model and with the two generated equations, K1, starting from sand, silt and organic matter, and K2, beginning from sand and organic matter. A linear regression and the coefficient of efficiency (RN2) were established, which indicated the adjustment of the K factor for each developed pattern. The RN2 correlation value was 0.76 in relation to the simplified K factor, 0.87 to K1, and 0.86 to K2 (very similar due to the small significance of silt in the equation). This relationship demonstrates that the application of K1 and K2, according to the readiness of the data, is more specific and exact than the results obtained by applying the simplified K factor.
format Articulo
Articulo
author Gaspari, Fernanda Julia
Rodríguez Vagaría, Alfonso Martín
Senisterra, Gabriela Elba
author_facet Gaspari, Fernanda Julia
Rodríguez Vagaría, Alfonso Martín
Senisterra, Gabriela Elba
author_sort Gaspari, Fernanda Julia
title Estimation of soil erosionability in the stream basin of Pillahuinco Grande, Province of Buenos Aires, Argentina
title_short Estimation of soil erosionability in the stream basin of Pillahuinco Grande, Province of Buenos Aires, Argentina
title_full Estimation of soil erosionability in the stream basin of Pillahuinco Grande, Province of Buenos Aires, Argentina
title_fullStr Estimation of soil erosionability in the stream basin of Pillahuinco Grande, Province of Buenos Aires, Argentina
title_full_unstemmed Estimation of soil erosionability in the stream basin of Pillahuinco Grande, Province of Buenos Aires, Argentina
title_sort estimation of soil erosionability in the stream basin of pillahuinco grande, province of buenos aires, argentina
publishDate 2009
url http://sedici.unlp.edu.ar/handle/10915/82750
work_keys_str_mv AT gasparifernandajulia estimationofsoilerosionabilityinthestreambasinofpillahuincograndeprovinceofbuenosairesargentina
AT rodriguezvagariaalfonsomartin estimationofsoilerosionabilityinthestreambasinofpillahuincograndeprovinceofbuenosairesargentina
AT senisterragabrielaelba estimationofsoilerosionabilityinthestreambasinofpillahuincograndeprovinceofbuenosairesargentina
bdutipo_str Repositorios
_version_ 1764820488591245314

Ejemplares similares