Mapping soil organic matter using the topographic wetness index: A comparative study based on different flow-direction algorithms and kriging methods

Pei, Tao; Qin, Cheng‐Zhi; Zhu, A‐Xing; Yang, Lin; Luo, Ming; Li, Baolin; Zhou, Chenghu

doi:10.1016/j.ecolind.2009.10.005

Cited by 148 publications

(74 citation statements)

References 24 publications

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“…This topographic index, combines local upslope contributing area and slope and seems to be a key to understand much of the hydrological processes and soil properties (Sørensen et al, 2006;Yimer et al, 2006). It is reported that TWI was positively correlated with soil organic matter (Pei et al, 2010), which indirectly supports the central role of organic matter in the mobilization of As in groundwater Fendorf et al, 2010;Rowland et al, 2007). As expected from Fig.…”

Section: Logistic Regression Modelsupporting

confidence: 52%

Predicting the risk of arsenic contaminated groundwater in Shanxi Province, Northern China

Zhang

Rodríguez‐Lado

Johnson

et al. 2012

Environmental Pollution

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a b s t r a c tShanxi Province is one of the regions in northern China where endemic arsenicosis occurs. In this study, stepwise logistic regression was applied to analyze the statistical relationships of a dataset of arsenic (As) concentrations in groundwaters with some environmental explanatory parameters. Finally, a 2D spatial model showing the potential As-affected areas in this province was created. We identified topography, gravity, hydrologic parameters and remote sensing information as explanatory variables with high potential to predict high As risk areas. The model identifies correctly the already known endemic areas of arsenism. We estimate that the area at risk exceeding 10 mg L À1 As occupies approximately 8100 km 2 in 30 counties in the province.

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Section: Logistic Regression Modelsupporting

confidence: 52%

Predicting the risk of arsenic contaminated groundwater in Shanxi Province, Northern China

Zhang

Rodríguez‐Lado

Johnson

et al. 2012

Environmental Pollution

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“…Apesar de apresentarem baixos valores de R 2 , a combinação entre os atributos topográficos e o teor de MOS permite o mapeamento da variável para regiões pouco amostradas e com baixo custo. Para a Província de Heilongjiang na China, Pei et al (2010), identificaram o TWI (R 2 = 0,23) como o índice com correlação mais forte entre os atributos topográficos e a MOS sendo utilizado no mapeamento da MOS para a província. Conforme se observa na Tabela 2, os valores de EM e RSEM foram menores para a combinação 4, que considera a influência da declividade, perfil de curvatura, NDVI e TWI na obtenção do teor de MOS.…”

Section: Distribuição Espacial Dos Teores De Matéria Orgânica Do Solounclassified

“…A pedoforma côncava favorece a convergência das águas levando a uma erosão mais localizada com tendência a formação de voçorocas e sulcos e deposição de material nas partes mais baixas, enquanto a pedoforma convexa favorece a divergência de águas com erosão mais uniforme e laminar, sendo que nesta última temse somente erosão com a retirada de material do sistema (RESENDE, 1985). De acordo com Pei et al (2010), esses atributos apresentam boa correlação com o teor de matéria orgânica do solo (MOS) sendo utilizados para melhorar a qualidade e reduzir os custos de amostragem.…”

Section: Introductionunclassified

Caracterização ambiental e predição dos teores de matéria orgânica do solo na Sub-Bacia do Salto, Extrema, MG

Oliveira

Silva

et al. 2012

Sem. Ci. Agr.

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ResumoO manejo racional em uma bacia hidrográfica requer o conhecimento de diversos parâmetros, entre eles a morfometria, a cobertura vegetal e o teor de matéria orgânica do solo (MOS). Os objetivos do trabalho foram avaliar as características morfométricas, a presença de vegetação utilizando o índice de vegetação por diferença normalizada (NDVI), e a distribuição espacial dos teores de matéria orgânica do solo (MOS) obtida a partir da combinação dos atributos da paisagem na Sub-bacia Hidrográfica do Salto, no município de Extrema, MG. Foram utilizados mapas topográficos digitalizados, imagens de satélite e o modelo de regressão linear múltipla relacionando os atributos da paisagem com o teor de MOS para obter a distribuição espacial da MOS. A Sub-bacia do Salto possui tendência mediana a enchentes, a drenagem é eficiente e bastante ramificada. Grande parte da sub-bacia encontra-se ocupada por pastagens degradadas e a vegetação com grande quantidade de biomassa ocorre principalmente nas áreas de cabeceira. O conjunto de atributos que melhor estimou o teor de MOS foi declividade, perfil de curvatura, NDVI e índice topográfico de umidade (TWI). A MOS apresentou teor médio (2,01 a 4,00 dag kg -1 ) na maior parte da área estudada, situados principalmente em áreas de maior altitude (cerca de 1.600 m) nas cabeceiras da Sub-bacia. Palavras-chave: Morfometria, índice de vegetação por diferença normalizada (NDVI), matéria orgânica AbstractRational management in a watershed requires knowledge of several important parameters regarding the hydrology, including morphometric, vegetation cover and soil organic matter (MOS) amounts. The objectives of this study were to evaluate the morphometric characteristics, identify the existence of vegetation using the normalized difference vegetation index (NDVI) and analyze the spatial variability of the organic matter amount, obtained through combination of landscape properties of the Salto Subbasin, Extrema, MG, Brazil. Digitalized topographic maps, satellites images and the Inverse Distance Weighted interpolation methods were used to acquire the MOS spatial variability. The Salto Sub-basin has a median tendency for flooding; drainage is efficient and highly branched. Most part of the Sub-basin is occupied by degraded pastures with vegetation with high biomass occurs mainly in headwater areas.

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“…Pei et al (2010) and Hancock et al (2010) found higher organic matter accumulation in areas with a higher wetness index, a factor that delays the decomposition process. Furthermore, Moore et al (1993), using the wetness index and slope gradient, found high correlations between these topographic indices and organic matter content, sand content, and A horizon depth.…”

Section: Soil Texturementioning

confidence: 99%

Three-dimensional interpolation of soil data: fertility and pedomorphological features in southern Brazil

Piedade

Melo²,

Souza³

et al. 2014

Rev. Bras. Ciênc. Solo

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The graphical representation of spatial soil properties in a digital environment is complex because it requires a conversion of data collected in a discrete form onto a continuous surface. The objective of this study was to apply three-dimension techniques of interpolation and visualization on soil texture and fertility properties and establish relationships with pedogenetic factors and processes in a slope area. The GRASS Geographic Information System was used to generate three-dimensional models and ParaView software to visualize soil volumes. Samples of the A, AB, BA, and B horizons were collected in a regular 122-point grid in an area of 13 ha, in Pinhais, PR, in southern Brazil. Geoprocessing and graphic computing techniques were effective in identifying and delimiting soil volumes of distinct ranges of fertility properties confined within the soil matrix. Both three-dimensional interpolation and the visualization tool facilitated interpretation in a continuous space (volumes) of the cause-effect relationships between soil texture and fertility properties and pedological factors and processes, such as higher clay contents following the drainage lines of the area. The flattest part with more weathered soils (Oxisols) had the highest pH values and lower Al3+ concentrations. These techniques of data interpolation and visualization have great potential for use in diverse areas of soil science, such as identification of soil volumes occurring side-by-side but that exhibit different physical, chemical, and mineralogical conditions for plant root growth, and monitoring of plumes of organic and inorganic pollutants in soils and sediments, among other applications. The methodological details for interpolation and a three-dimensional view of soil data are presented here.

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Mapping soil organic matter using the topographic wetness index: A comparative study based on different flow-direction algorithms and kriging methods

Cited by 148 publications

References 24 publications

Predicting the risk of arsenic contaminated groundwater in Shanxi Province, Northern China

Predicting the risk of arsenic contaminated groundwater in Shanxi Province, Northern China

Caracterização ambiental e predição dos teores de matéria orgânica do solo na Sub-Bacia do Salto, Extrema, MG

Three-dimensional interpolation of soil data: fertility and pedomorphological features in southern Brazil

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