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Soil water infiltration evaluation from punctual to hillslope scales.
Koppe, Ezequiel; Schneider, Fabio José Andres; Londero, Ana Lúcia; de Queiroz, Rosemar; Buligon, Lidiane; Minella, Jean Paolo Gomes.
Afiliación
  • Koppe E; Department of Soils, Federal University of Santa Maria, Roraima Av., n.1000, Santa Maria, RS Postal Code 97105-900, Brazil.
  • Schneider FJA; Department of Soils, Federal University of Santa Maria, Roraima Av., n.1000, Santa Maria, RS Postal Code 97105-900, Brazil.
  • Londero AL; Department of Soils, Federal University of Santa Maria, Roraima Av., n.1000, Santa Maria, RS Postal Code 97105-900, Brazil.
  • de Queiroz R; Department of Soils, Federal University of Santa Maria, Roraima Av., n.1000, Santa Maria, RS Postal Code 97105-900, Brazil.
  • Buligon L; Department of Mathematics, Federal University of Santa Maria, Roraima Av., n.1000, Santa Maria, RS Postal Code 97105-900, Brazil.
  • Minella JPG; Department of Soils, Federal University of Santa Maria, Roraima Av., n.1000, Santa Maria, RS Postal Code 97105-900, Brazil. jean.minella@ufsm.br.
Environ Monit Assess ; 194(4): 300, 2022 Mar 26.
Article en En | MEDLINE | ID: mdl-35347464
ABSTRACT
Quantifying infiltration and surface runoff at the hillslope scale is indispensable for soil conservation studies. However, the spatial and temporal variability of infiltration imposes a major constraint on surface runoff estimation. Point infiltration values do not fully express the complexity of the surface runoff in the landscape. Considering the need to improve the estimation of runoff volume from infiltration data, this study aimed to measure the apparent infiltration at hillslope-scale and compare it with two methods of infiltration estimative derived from point information. The study was carried out in six hydrological monitoring units paired. A set of hyetographs and hydrographs allowed the determination of apparent infiltration [Formula see text] to each monitoring unit as a function of precipitation rate P. The measured [Formula see text] values were used (1) to evaluate the efficiency of the different land management in increasing infiltration; and (2) to evaluate the efficiency of two methods of hillslope-scale infiltration estimation based on point data (a) derived from concentric rings method ([Formula see text]), and (b) derived from a physically-based modeling ([Formula see text]). Regarding the differences in land managements, terraces proved to be the most efficient land management practice, followed by phytomass addition. Regarding the methods, for precipitation rates greater than 40 [Formula see text] the point infiltration-based [Formula see text] underestimates apparent infiltration [Formula see text] with PBIAS ranging from [Formula see text] to [Formula see text]. Even so, [Formula see text] proved efficient in representing [Formula see text] at less intense rainfall events. Nonetheless, the point infiltration-based method [Formula see text] properly represented [Formula see text] to all rainfall intensities (Nash-Sutcliffe coefficient [Formula see text]).
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Suelo / Agua Idioma: En Revista: Environ Monit Assess Asunto de la revista: SAUDE AMBIENTAL Año: 2022 Tipo del documento: Article País de afiliación: Brasil

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Suelo / Agua Idioma: En Revista: Environ Monit Assess Asunto de la revista: SAUDE AMBIENTAL Año: 2022 Tipo del documento: Article País de afiliación: Brasil