Spatial uncertainty analysis of the saturated soil hydraulic conductivity in a subtropical watershed

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作者
Rodrigo César Vasconcelos dos Santos
Mauricio Fornalski Soares
Luís Carlos Timm
Tirzah Moreira Siqueira
Carlos Rogério Mello
Samuel Beskow
Douglas Rodrigo Kaiser
机构
[1] Federal University of Pelotas,Water Resources Post
[2] Federal University of Pelotas,Graduate Program, Center of Technological Development
[3] Federal University of Pelotas,Department of Rural Engineering, Faculty of Agronomy
[4] Federal University of Lavras,Engineering Center
[5] Federal University of Pelotas,Water Resources Department
[6] Federal University of Fronteira Sul,Center of Technological Development
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关键词
Geostatistics; Uncertainty analysis; Soil hydrology attributes; Watershed scale;
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摘要
The high spatial variability of the saturated soil hydraulic conductivity (Ksat) and the effort required for its data sampling have been a challenge for soil scientists to obtain its representativeness at a scale resolution required by watershed management. The objective of this work was to simulate the spatial variability of Ksat and evaluate its uncertainties through sequential Gaussian simulation (SGS) in a subtropical watershed, Southern Brazil. Ksat data were obtained in an experimental grid of 179 points established in a watershed with shallow soils and relief varying from undulating to strong undulating. Experimental and theoretical semivariograms were calculated and the SGS was used to generate 100 equiprobable fields. Local and spatial uncertainties of Ksat were assessed. Lower Ksat uncertainty estimates were found in densely sampled areas. Higher Ksat uncertainty estimates were obtained in soils located at steeper areas of the watershed and on soils formed alongside the main watercourse. Spatial variability maps of Ksat are quite useful for supporting hydrological simulation of the floods in watersheds, identifying areas more prone to groundwater recharge and the effects of different tillage systems on soil water dynamics at watershed scale as well.
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