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Previous studies (Potter et al. 2001; Reeder et al. 2004) have reported the positive correlation between bulk density and SOCS.

The present study investigates the relationship between bulk density and hygrothermal behaviour of compressed earthen bricks.

Inverse relationships between bulk density, and concentration and uptake of NPK, dry matter accumulation and grain yield were recorded.

We analyse the relation between bulk density and depth location for the C-horizon in Luvisol and Regosol soils of various stages of profile reduction by erosion.

Coarse fibres of high linear density result in fabrics of higher thickness and in turn lower bulk density (Table 4) due to inverse relationship between bulk density and fabric thickness (Eq. 1).

E.g. we found a negative correlation between bulk density (∼1.35 ∼1.90 g/cm3) and precompression stress (∼30 70 kPa) and no decisive interrelation between bulk density and air permeability or saturated hydraulic conductivity.

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In this study systematic relationships between bulk density, water content and sediment composition are presented for a variety of geographic environments.

Soil strength appeared to be a more sensitive measure of compaction, although a very weak relationship was observed between soil bulk density and soil strength.

The results demonstrated that organic matter, water content, total N content and earthworm density from topsoil were significantly and positively (P ≤ 0.01) related to CMC input, with significantly negative correlation being observed between soil bulk density and CMC input.

Results indicated that there were significant differences between soil bulk density and cone index of ZT method and those of RT, MT, and CT, during the growing season; although, this difference was not significant at the time of harvesting in some soil layers.

X-ray CT analysis was also used for the determination of physical properties; a comparison between bulk density by the mass-volume method and estimated density based on linear attenuation coefficients of X-ray CT images provides insight into a spatially detailed and precise map of density variation in samples through the distribution of CT numbers.

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