In situ characterization of the saturated hydraulic conductivity (K-s) requires a large number of experiments, sampling, and laboratory measurements that are time-consuming and expensive. Simplified Beerkan Infiltration (SBI) method was developed to estimate an approximate K-s based on the infiltration curve without any sampling procedures. For that purpose, alpha* parameter, which is used in the calculation of K-s, was commonly set to a fixed value based on soil texture. This approach was not sufficient for an accurate K-s estimation. For a relatively dry soil, a new approach involving an empirical structural parameter was proposed to calculate an approximation of the alpha* parameter based on the shape of the steady state asymptote of the Beerkan cumulative infiltration. The new alpha* parameter was tested on simplified Beerkan infiltration (SBI) method in over 32 Beerkan experiments selected from the Soil World Infiltration Global (SWIG) database. The steady state SBI (SSBI) method estimated K-s with an accuracy close to those estimated with the BEST (Beerkan Estimation Soil Transfer) method. The R-2 correlation factor for the SSBI method in K-s estimation with BEST intercept and steady methods were 0.982 and 0.994, respectively. For the transient SBI method, the R-2 correlation factors calculated with BEST methods were lower; 0.858 and 0.827, respectively. Therefore, the application of the new alpha* parameter to the steady state simplified Beerkan approach allows an easy, inexpensive way to estimate accurately K-s.
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Univ Sao Paulo, Ctr Nucl Energy Agr CENA USP, Piracicaba, Brazil
Tech Univ Carolo Wilhelmina Braunschweig, Div Soil Sci & Soil Phys, Langer Kamp 19c, D-38106 Braunschweig, Germany
Leibniz Ctr Agr Landscape Res ZALF, Muncheberg, GermanyUniv Sao Paulo, Ctr Nucl Energy Agr CENA USP, Piracicaba, Brazil
Inforsato, Leonardo
Iden, Sascha
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Tech Univ Carolo Wilhelmina Braunschweig, Div Soil Sci & Soil Phys, Langer Kamp 19c, D-38106 Braunschweig, GermanyUniv Sao Paulo, Ctr Nucl Energy Agr CENA USP, Piracicaba, Brazil
Iden, Sascha
Durner, Wolfgang
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Tech Univ Carolo Wilhelmina Braunschweig, Div Soil Sci & Soil Phys, Langer Kamp 19c, D-38106 Braunschweig, GermanyUniv Sao Paulo, Ctr Nucl Energy Agr CENA USP, Piracicaba, Brazil
Durner, Wolfgang
Peters, Andre
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Tech Univ Carolo Wilhelmina Braunschweig, Div Soil Sci & Soil Phys, Langer Kamp 19c, D-38106 Braunschweig, GermanyUniv Sao Paulo, Ctr Nucl Energy Agr CENA USP, Piracicaba, Brazil
Peters, Andre
van Lier, Quirijn De Jong
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Univ Sao Paulo, Ctr Nucl Energy Agr CENA USP, Piracicaba, BrazilUniv Sao Paulo, Ctr Nucl Energy Agr CENA USP, Piracicaba, Brazil
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Univ Nacl La Plata, Fac Ciencias Astron & Geofis, Consejo Nacl Invest Cient & Tecn, La Plata, Buenos Aires, ArgentinaUniv Nacl La Plata, Fac Ciencias Astron & Geofis, Consejo Nacl Invest Cient & Tecn, La Plata, Buenos Aires, Argentina
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Univ Palermo, Fac Agr, Dipartimento Sistemi Agroambientali, Palermo, ItalyUniv Palermo, Fac Agr, Dipartimento Sistemi Agroambientali, Palermo, Italy
Bagarello, V.
D'Asaro, F.
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Univ Palermo, Fac Agr, Dipartimento Sistemi Agroambientali, Palermo, ItalyUniv Palermo, Fac Agr, Dipartimento Sistemi Agroambientali, Palermo, Italy
D'Asaro, F.
Iovino, M.
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Univ Palermo, Fac Agr, Dipartimento Sistemi Agroambientali, Palermo, ItalyUniv Palermo, Fac Agr, Dipartimento Sistemi Agroambientali, Palermo, Italy
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Univ Buenos Aires, Fac Agron, Catedra Fis, RA-C1417DSE Buenos Aires, DF, ArgentinaUniv Buenos Aires, Fac Agron, Catedra Fis, RA-C1417DSE Buenos Aires, DF, Argentina
Martinez, Daniel
Landini, Ana
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Univ Buenos Aires, Fac Agron, Catedra Fis, RA-C1417DSE Buenos Aires, DF, ArgentinaUniv Buenos Aires, Fac Agron, Catedra Fis, RA-C1417DSE Buenos Aires, DF, Argentina
Landini, Ana
Soza, Eduardo
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Univ Buenos Aires, Fac Agron, Catedra Maquinaria Agricola, RA-C1417DSE Buenos Aires, DF, ArgentinaUniv Buenos Aires, Fac Agron, Catedra Fis, RA-C1417DSE Buenos Aires, DF, Argentina
Soza, Eduardo
Sainato, Claudia
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Univ Buenos Aires, Fac Agron, Catedra Fis, RA-C1417DSE Buenos Aires, DF, ArgentinaUniv Buenos Aires, Fac Agron, Catedra Fis, RA-C1417DSE Buenos Aires, DF, Argentina
Sainato, Claudia
Heredia, Olga S.
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Univ Buenos Aires, Fac Agron, Catedra Edafo, RA-C1417DSE Buenos Aires, DF, ArgentinaUniv Buenos Aires, Fac Agron, Catedra Fis, RA-C1417DSE Buenos Aires, DF, Argentina
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Univ Catania, Dipartimento Gest Sistemi Agroalimentari & Ambien, I-95123 Catania, ItalyUniv Catania, Dipartimento Gest Sistemi Agroalimentari & Ambien, I-95123 Catania, Italy
Aiello, R.
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Bagarello, V.
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Barbagallo, S.
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Consoli, S.
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Di Prima, S.
Giordano, G.
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Univ Palermo, Dipartimento Sci Agr & Forestall SAF, I-90128 Palermo, ItalyUniv Catania, Dipartimento Gest Sistemi Agroalimentari & Ambien, I-95123 Catania, Italy
Giordano, G.
Iovino, M.
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Univ Palermo, Dipartimento Sci Agr & Forestall SAF, I-90128 Palermo, ItalyUniv Catania, Dipartimento Gest Sistemi Agroalimentari & Ambien, I-95123 Catania, Italy