A model of solid‐solution interactions in acid organic soils, based on the complexation properties of humic substancesTIPPING, E.; HURLEY, M. A.
doi: 10.1111/j.1365-2389.1988.tb01235.xpmid: N/A
CHAOS (Complexation by Humic Acids in Organic Soils) is a quantitative chemical model of organic soils that incorporates complexation by the functional groups of humic substances and non‐specific ion‐exchange reactions. The two types of interaction are linked by the net humic charge, Z, which depends on the extents of proton and metal complexation, and which in turn determines ionic concentrations in the diffuse part of the electrical double layer, by a Donnan equilibrium. CHAOS was found to account satisfactorily for the results of acid‐base titration experiments (pH range 3–5) with soil samples, giving reasonable simultaneous predictions of solution pH and concentration of A13+. Predictive calculations with CHAOS suggest that organic soils acidified by acid rain would respond on a time‐scale of years‐to‐decades to reductions in rain acidity. An associated effect might be an increase in the concentration of dissolved organic matter in the soil solution.
Metal‐humus complexes in A horizons of Thai and Korean red and yellow soilsVIRAKORNPHANICH, P.; WADA, S.‐I.; WADA, K.
doi: 10.1111/j.1365-2389.1988.tb01237.xpmid: N/A
Carbon, Al and Fe (Cpyr, Alpyr and Fepyr) were extracted with 0.1 m Na4P2O7 from 26 A horizon samples of tropical Thai and temperate Korean soils (Ultisols, Alfisols, Oxisols and Inceptisols). The soils, except for one Thai Inceptisol, had similar total C (0.35–3.29%) and Cpyr/total C ratios (0.20–0.41). There were approximately linear relationships between total C or Cpyr and clay content; two groups of soils gave different linear relationships. A curvilinear relationship between Cpyr and (Al + Fe)pyr (milli‐atom kg−1) that can be approximated by an equation: Cpyr= 53 (Alpyr+ Fepyr)1/2– 24 was also found for most Thai and Korean soils. The above relationships indicated that total C and Cpyr would be close to zero at zero clay or zero (Al + Fe)pyr. It was inferred that clay‐humus interaction has a primary importance in the determination of humus content in red and yellow soils in tropical and temperate regions and that the main role of clay is to supply Al and Fe that complex and stabilize humus against microbial degradation.
Clay and iron minerals in soils of the clay plains of Central SudanYOUSIF, A. A.; MOHAMED, H. H. A.; ERICSSON, T.
doi: 10.1111/j.1365-2389.1988.tb01238.xpmid: N/A
Surface soil samples from seven profiles from the central plains of Sudan were investigated using XRD, chemical analysis and Mössbauer spectroscopy measured at 15K. Dioctahedral montmorillonite was the main constituent with different proportions of kaolinite and chlorite. Goethite was found as fine iron oxyhydroxide in all the samples, with haematite detected in two pedons. Crystallinity of the clays was observed to correlate negatively with the amount of free iron oxide in the soil. The influence of the climatic factors on the soil and its formation is discussed.
The formation and characteristics of splash following raindrop impact on soilGHADIR, H.; PAYNE, D.
doi: 10.1111/j.1365-2389.1988.tb01240.xpmid: N/A
Splash droplet characteristics were studied using cine‐photography and a simple droplet collection method. Two sizes of falling drop, two heights of fall and a number of target materials including soil, sand, water and rotating sandpaper were used. For a 6 mm drop falling at near terminal velocity about 5000 splash droplets were collected ranging in size from 10 um to more than 3 mm in diameter. The amount of soil material carried by splash droplets was much less in the presence of surface water and increased with the size of water stable aggregates. The energy and momentum balance showed a higher proportion of impact energy and momentum in the resulting splash droplets as the impact energy increased. This suggests that kinetic energy is not a reliable indicator of the erosivity of rain drops.
Analysis of cone resistance data with missing observations below stonesGLASBEY, C. A.; O'SULLIVAN, M. F.
doi: 10.1111/j.1365-2389.1988.tb01242.xpmid: N/A
When stones prevent the measurement of cone resistance, and missing values below the stones are ignored, then averages can be seriously underestimated. Methods are considered for correcting this bias and an algorithm is proposed in which missing observations are replaced by their expected values. A numerical example gives results in close agreement with those obtained using the optimal, but computationally expensive, method of maximum likelihood estimation. It is recommended that data from incomplete penetrations should not be discarded but should be used, preferably with the proposed algorithm, to reduce the bias in estimates of mean values.