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'W),...

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Autores principales:	Gaspari,Fernanda J, Rodríguez Vagaría,Alfonso M, Senisterra,Gabriela E
Lenguaje:	English
Publicado:	Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal 2009
Materias:	GIS soil soil erosion USLE watershed
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202009000100003
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spelling	oai:scielo:S0718-162020090001000032009-04-29Estimation of soil erosionability in the stream basin of Pillahuinco Grande, Province of Buenos Aires, ArgentinaGaspari,Fernanda JRodríguez Vagaría,Alfonso MSenisterra,Gabriela E GIS soil soil erosion USLE watershed 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 (R N²) were established, which indicated the adjustment of the K factor for each developed pattern. The R N² 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.info:eu-repo/semantics/openAccessPontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería ForestalCiencia e investigación agraria v.36 n.1 20092009-04-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202009000100003en10.4067/S0718-16202009000100003
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	GIS soil soil erosion USLE watershed
spellingShingle	GIS soil soil erosion USLE watershed Gaspari,Fernanda J Rodríguez Vagaría,Alfonso M Senisterra,Gabriela E Estimation of soil erosionability in the stream basin of Pillahuinco Grande, Province of Buenos Aires, Argentina
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 (R N²) were established, which indicated the adjustment of the K factor for each developed pattern. The R N² 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.
author	Gaspari,Fernanda J Rodríguez Vagaría,Alfonso M Senisterra,Gabriela E
author_facet	Gaspari,Fernanda J Rodríguez Vagaría,Alfonso M Senisterra,Gabriela E
author_sort	Gaspari,Fernanda J
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
publisher	Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal
publishDate	2009
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202009000100003
work_keys_str_mv	AT gasparifernandaj estimationofsoilerosionabilityinthestreambasinofpillahuincograndeprovinceofbuenosairesargentina AT rodriguezvagariaalfonsom estimationofsoilerosionabilityinthestreambasinofpillahuincograndeprovinceofbuenosairesargentina AT senisterragabrielae estimationofsoilerosionabilityinthestreambasinofpillahuincograndeprovinceofbuenosairesargentina
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Estimation of soil erosionability in the stream basin of Pillahuinco Grande, Province of Buenos Aires, Argentina

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