Premium
Prediction of Near‐Saturated Hydraulic Conductivity in Three Podzolic Boreal Forest Soils
Author(s) -
Mecke M.,
Westman C. J.,
Ilvesniemi H.
Publication year - 2000
Publication title -
soil science society of america journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.836
H-Index - 168
eISSN - 1435-0661
pISSN - 0361-5995
DOI - 10.2136/sssaj2000.642485x
Subject(s) - infiltrometer , soil water , hydraulic conductivity , soil science , macropore , water content , bulk density , infiltration (hvac) , soil horizon , mineralogy , horizon , environmental science , chemistry , hydrology (agriculture) , geology , mathematics , materials science , mesoporous material , geometry , biochemistry , geotechnical engineering , catalysis , composite material
Steady‐state infiltration fluxes into the soil were measured with a tension infiltrometer at supply potentials of −0.35, −0.70, and −1.10 kPa, and the near‐saturated hydraulic conductivities ( K ) were calculated using an exponential model. Measurements were conducted in four mineral soil horizons at three forest sites, representing contrasting textures. The analysis was concentrated on K at −0.35 kPa [ K (−0.35)] since this potential corresponds to the 1‐mm pore diam., which is often considered to be the limit between macropores and mesopores. The average K (−0.35) of the site varied in the parent soils of the three sites from 0.46 to 40.98 cm h −1 , while in the two uppermost horizons the variability was smaller: 0.30 to 0.69 cm h −1 Three multiple linear regression models of log[ K (−0.35)] were constructed by stepwise regression analysis. The retained water content at the seven potentials; textural fractions; dry bulk density; and Al, Fe, and C contents were suggested as predictor variables. In addition, simple functions of these variables were suggested. In Model 1, all horizons were included( n = 83 ); in Model 2, all horizons except the upper illuvial horizon were included( n = 61 ); and in Model 3, only the lowest horizon was included( n = 20 )Adding predictor variables increased r 2 in all models. The water content at −100 kPa, which depends on pore‐size distribution and C content (which produce a strong retarding effect on water flow), were the most important predictors for K (−0.35). Similarly, by gradually excluding horizons where pedological and biological processes had changed the structure and pore‐size distribution, r 2 increased from 0.86 (Model 1) to 0.99 (Model 3).
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom