Artigo

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

Carregando...
Imagem de Miniatura

Notas

Orientadores

Editores

Coorientadores

Membros de banca

Título da Revista

ISSN da Revista

Título de Volume

Editor

Springer Nature

Faculdade, Instituto ou Escola

Departamento

Programa de Pós-Graduação

Agência de fomento

Tipo de impacto

Áreas Temáticas da Extenção

Objetivos de Desenvolvimento Sustentável

Dados abertos

Resumo

Abstract

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.

Descrição

Área de concentração

Agência de desenvolvimento

Palavra chave

Marca

Objetivo

Procedência

Impacto da pesquisa

Resumen

ISBN

DOI

Citação

SANTOS, R. C. V. dos et al. Spatial uncertainty analysis of the saturated soil hydraulic conductivity in a subtropical watershed. Environmental Earth Sciences, [S.I.], v. 80, n. 707, 2021. DOI: https://doi.org/10.1007/s12665-021-10017-w.

Link externo

Avaliação

Revisão

Suplementado Por

Referenciado Por