Data/hora: 10/06/2024 04:45:28

Provedor de dados: 	90	
País: 	Brazil	
Título: 	Predicting Runoff Risks by Digital Soil Mapping	
Autores: 	Silva,Mayesse Aparecida da; Silva,Marx Leandro Naves; Owens,Phillip Ray; Curi,Nilton; Oliveira,Anna Hoffmann; Candido,Bernardo Moreira.	
Data: 	2016-01-01	
Ano: 	2016	
Palavras-chave: 	Geomorphons; Terrain attributes; Saturated hydraulic conductivity; Solum depth.	
Resumo: 	ABSTRACT Digital soil mapping (DSM) permits continuous mapping soil types and properties through raster formats considering variation within soil class, in contrast to the traditional mapping that only considers spatial variation of soils at the boundaries of delineated polygons. The objective of this study was to compare the performance of SoLIM (Soil Land Inference Model) for two sets of environmental variables on digital mapping of saturated hydraulic conductivity and solum depth (A + B horizons) and to apply the best model on runoff risk evaluation. The study was done in the Posses watershed, MG, Brazil, and SoLIM was applied for the following sets of co-variables: 1) terrain attributes (AT): slope, plan curvature, elevation and topographic wetness index. 2) Geomorphons and terrain attributes (GEOM): slope, plan curvature, elevation and topographic wetness index combined with geomorphons. The most precise methodology was applied to predict runoff areas risk through the Wetness Index based on contribution area, solum depth, and saturated hydraulic conductivity. GEOM was the best set of co-variables for both properties, so this was the DSM model used to predict the runoff risk. The runoff risk showed that the critical months are from November to March. The new way to classify the landscape to use on DSM was demonstrated to be an efficient tool with which to model process that occurs on watersheds and can be used to forecast the runoff risk.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832016000100310	
Editor: 	Sociedade Brasileira de Ciência do Solo	
Relação: 	10.1590/18069657rbcs20150353	
Formato: 	text/html	
Fonte: 	Revista Brasileira de Ciência do Solo  v.40 2016	
Fonte: 	info:eu-repo/semantics/openAccess