Consistência hidrológica de modelos digitais de elevação (MDE) para definição da rede de drenagem na sub-bacia do horto florestal Terra Dura, Eldorado do Sul, RS

Oliveira, Aldo Sena de; Silva, Marx Leandro Naves; Curi, Nilton; Neto, Gustavo Klinke; Silva, Mayesse Aparecida da; Araújo, Elias Frank de

doi:10.1590/s0100-06832012000400020

Cited by 10 publications

(12 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Next, the direction flow was obtained by D (deterministic infinity) method (Tarboton, 1997) which, automatically, gave the slope degree (Figure 2A) and the contribution area ( Figure 2B). Oliveira et al (2012) pointed out that the D method is the most efficient in simulating surface runoff.…”

Section: Revised Universal Soil Loss Equation (Rusle)mentioning

confidence: 99%

Spatial and Temporal Modeling of Water Erosion in Dystrophic Red Latosol (Oxisol) Used for Farming and Cattle Raising Activities in a Sub-Basin in the South of Minas Gerais

et al. 2015

Self Cite

View full text Add to dashboard Cite

Water erosion is one of the most important soil degradation processes and it can be intensified by land use and vegetal covering changes. Thus, water erosion modeling studies associated to multi temporal analyses of land use are effective in assessing how changes in land cover affects sediment yield. Therefore, considering the modifications in the land use from 1986 to 2011, the aim of this study ranged to estimate water erosion rates and compare them to the soil loss tolerance (SLT) limit in the Latosols (Oxisols) at Ribeirão Caçús sub-basin, in the South of Minas Gerais State, Southeast Brazil, by means of the Revised Universal Soil Loss Equation (RUSLE) in association with the geographic information system (GIS), and geostatistical techniques. So, for each year mapped, soil loss averages were compared by t test at 5% significance to assess the soil degradation stage. The results indicated that, in the period, the soil loss average rate was from 2.4 to 2.6 Mg ha -1 year -1 and the areas with soil loss above the limit of SLT were around 8.0%. The t test demonstrated there was no considerable difference among the soil loss averages (p = 0.18). In consequence, the area of degraded soils did not increase. Thus, the RUSLE model in GIS is a simple and useful tool to estimate the soil loss and help define soil conservation and recovery measures.

show abstract

Section: Revised Universal Soil Loss Equation (Rusle)mentioning

confidence: 99%

Spatial and Temporal Modeling of Water Erosion in Dystrophic Red Latosol (Oxisol) Used for Farming and Cattle Raising Activities in a Sub-Basin in the South of Minas Gerais

et al. 2015

Self Cite

View full text Add to dashboard Cite

show abstract

“…O MDE pode ser construído a partir de grades regulares retangulares como, por exemplo, o inverso do quadrado da distância (IDW) (Redivo et al, 2002;Medeiros et al, 2009), topogrid (Hutchinson, 1989;Hutchinson & Gallant, 2000;Zeilhofer, 2001;Redivo et al, 2002;Baena et al, 2004;Medeiros et al, 2009;Chagas et al, 2010;Oliveira et al, 2012a;Oliveira et al, 2012b), krigagem (Redivo et al, 2002) ou a partir de redes irregulares triangulares(TIN) (Redivo et al, 2002;Sousa Junior & Demattê, 2008;Medeiros et al, 2009) como os métodos TIN linear e TIN natural neighbors (Oliveira et al, 2012b).…”

Section: Introductionunclassified

Sistema de informações geográficas no planejamento de uso do solo

Silva

Freitas

Silva

et al. 2013

Agraria

View full text Add to dashboard Cite

RESUMOO uso dos sistemas de informações geográficas (SIG) possibilita extrapolar informações pontuais permitindo maior rapidez, menor custo e elevada acurácia no planejamento de uso do solo em bacias hidrográficas. O objetivo deste trabalho foi utilizar o SIG como apoio ao planejamento de uso do solo na sub-bacia das Posses (Extrema, MG); para isto, o modelo digital de elevação (MDE) foi determinado pelo método topogrid e a qualidade da interpolação avaliada de duas formas: por meio da comparação das curvas de nível geradas pelo MDE e das curvas originais da sub-bacia (escala 1:10.000) e identificação do erro do modelo através da raiz quadrada do erro médio (RSME); a partir do MDE as classes de planejamento de uso do solo foram expandidas e interpretadas para toda a sub-bacia conforme o Sistema de Classificação da Capacidade de Uso do Solo utilizado para o Brasil. Os usos dos solos mais recomendados para a sub-bacia das Posses são as pastagens nativas, reflorestamentos e conservação ambiental; a Sub-bacia das Posses possui 11% de suas terras subutilizadas, 12% acima da capacidade de uso, 58% dentro do uso adequado, 18% de áreas de preservação permanente e um 1% de estradas.Palavras-chave: adequação do uso do solo, capacidade de uso das terras, modelo digital de elevação hidrologicamente consistente Geographic information system on the land use planning ABSTRACTGeographic information system (GIS) can be used on the extrapolation of the specific information, allowing more rapid, lower cost and high accuracy in the land use planning at catchments. The goal of this study was to use GIS as support in the land use planning at Posses catchment (Extrema, MG, Brazil). For this, the digital elevation model (DEM) was determined using the method topogrid and the interpolation quality was evaluated of two ways: comparing contour lines from survey of the catchment (scale 1:10,000) and contour lines derived from DEM and identification of model error by root mean square error (RMSE). From the DEM class of land use planning were expanded and interpreted for the catchment according the Land Use Capability Classification System used for the Brazil. Land uses recommended for the Posses catchment were native grasslands, reforestation and environmental conservancy. Posses catchment has 11% of its lands underutilized, 12% with use above the land use capability, 58% in the appropriate use, 18% of the permanent preservation areas and 1% of the roads.

show abstract

“…The contribution area of each cell (pixel) of the DEM was obtained by multiplying the accumulated flow defined by the D∞ method (Tarboton, 1997;Oliveira et al, 2012) by the area of each cell (100 m 2 ), according to Moore et al (1993):…”

Section: Methodsmentioning

confidence: 99%

Predicting Runoff Risks by Digital Soil Mapping

Silva

Owens

et al. 2016

Rev. Bras. Ciênc. Solo

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Consistência hidrológica de modelos digitais de elevação (MDE) para definição da rede de drenagem na sub-bacia do horto florestal Terra Dura, Eldorado do Sul, RS

Cited by 10 publications

References 16 publications

Spatial and Temporal Modeling of Water Erosion in Dystrophic Red Latosol (Oxisol) Used for Farming and Cattle Raising Activities in a Sub-Basin in the South of Minas Gerais

Spatial and Temporal Modeling of Water Erosion in Dystrophic Red Latosol (Oxisol) Used for Farming and Cattle Raising Activities in a Sub-Basin in the South of Minas Gerais

Sistema de informações geográficas no planejamento de uso do solo

Predicting Runoff Risks by Digital Soil Mapping

Contact Info

Product

Resources

About