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Influence of Organic Matter on the Estimation of Saturated Hydraulic Conductivity

^a USDA-ARS, Hydrology and Remote Sensing Lab., 10300 Baltimore Ave., Bldg. 007, BARC-West, Beltsville, MD 20705
^b USDA-ARS, Environmental Microbial Safety Lab., Powder Mill Road, Bldg. 173, BARC-East, Beltsville, MD 20705

View larger version (40K): [in a new window]   Fig. 1. Summary of physical properties of the three data sets. (OM–the organic matter content; Db–the bulk density; EUR–the European data set; HUN–the Hungarian data set; USA–the U.S. data set).

View larger version (91K): [in a new window]   Fig. 2. Relationship between organic matter (OM) and saturated hydraulic conductivity (Ks) from the pedotransfer function of Wösten et al. (1999); relationship is inverse in the gray area and positive in the blank area.

View larger version (64K): [in a new window]   Fig. 3. Relationship between organic matter (OM) and saturated hydraulic conductivity (Ks) from the pedotransfer function (PTF) of Wösten et al. (2001), for loam and clay soils. Relationship is inverse if the soil is represented by a point above gray surface and positive if it is below the gray surface. This PTF is not applicable for soils with clay content below 8%.

View larger version (95K): [in a new window]   Fig. 4. Sensitivity of Ks to changes in organic matter (OM) content, at three levels of sand content (20, 50, 80%) and five levels of bulk density (Db) (1.0, 1.2, 1.4, 1.6, 1.8 g cm–3), estimated from three different data sets, using sand and clay content (%), Db (g cm–3), and OM content (%) as input. The range of soils is shown, for which the estimated Ks decreases when OM content is increased. Different colors designate soils with different levels of Db. (EUR–the European data set; HUN–the Hungarian data set; USA–the U.S. data set).

View larger version (40K): [in a new window]   Fig. 5. Sensitivity of the effective porosity (e) to changes in organic matter (OM) contents, at selected sand contents (5–95% by 10% increments), as estimated from three different data sets, using sand and clay content (%) and OM content (%) as input. The range of soils is shown for which the estimated e decreases when the OM content is increased. Different colors designate soils with different levels of sand content. (EUR–the European data set; HUN–the Hungarian data set; USA–the U.S. data set).