Land use effects on the composition of organic matter in soil particle size separates. III. Analytical pyrolysis

1996 ◽  
Vol 47 (1) ◽  
pp. 61-69 ◽  
Author(s):  
C. SAIZ-JIMENEZ ◽  
B. HERMOSIN ◽  
G. GUGGENBERGER ◽  
W. ZECH
Keyword(s):  
Land Use ◽  
Particle Size ◽  
Organic Matter ◽  
Soil Particle ◽  
Analytical Pyrolysis ◽  
Soil Particle Size ◽  
Land Use Effects

Contamination of a calcareous soil by battery industry wastes. I. Characterization

2001 ◽  
Vol 28 (3) ◽  
pp. 341-348 ◽  
Author(s):  
S A Wasay ◽  
W J Parker ◽  
P J Van Geel
Keyword(s):  
Heavy Metals ◽  
Particle Size ◽  
Organic Matter ◽  
Contaminated Soil ◽  
Buffering Capacity ◽  
Water Soluble ◽  
Soil Particle ◽  
Soil Particle Size ◽  
Native Soil ◽  
Battery Industry

A study of soil contamination due to the disposal of waste from a battery industry was conducted. The soil particle size, organic matter content, and buffering capacity were characterized. The heavy metal content of the soil was characterized with soil depth, soil particle size, and with respect to the fraction of the soil by which it was retained. Lead was found to be the dominant contaminant with all other metals present at considerably lower concentrations. Most of the lead was retained in the fraction of the soil that had a particle size less than 2 mm. This fraction represented 40.8% of the soil and contained 24 600 mg Pb/kg of soil. A particle size analysis indicated that 45.3% of soil particles were found to be greater than 4.75 mm. The pH of the contaminated soil in water was found to be 7.6 and was similar to the background soil. The similarity in pH was attributed to the high calcium content of the native soil. The lead content in the native soil that was collected 100 m away from the contaminated site was found to be 1967 mg/kg in the soil with particle sizes less than 2 mm (contaminated soil). The difference in pH between KCl solution (pH 7.0) and in water was found to be –0.6 indicating that the pH value was above the point of zero salt effect. An evaluation of the buffering capacity revealed that 297 mL of 0.5 M HNO3 per kg of soil was required to substantially modify the soil pH. The heavy metals in the soil were sequentially extracted to quantify the water soluble, exchangeable, carbonate, oxides, organic matter, and residual fractions. The Pb concentrations were mainly found in the carbonate and oxide fractions of the soil.Key words: heavy metals, soil pollution, characterization, retention form.

scholarly journals Hyperspectral Estimation Model of Forest Soil Organic Matter in Northwest Yunnan Province, China

Forests ◽  
2019 ◽  
Vol 10 (3) ◽  
pp. 217 ◽  
Author(s):  
Yun Chen ◽  
Jinliang Wang ◽  
Guangjie Liu ◽  
Yanlin Yang ◽  
Zhiyuan Liu ◽  
...  
Keyword(s):  
Particle Size ◽  
Organic Matter ◽  
Soil Organic Matter ◽  
Linear Regression ◽  
Forest Soil ◽  
Spectral Reflectance ◽  
Soil Particle ◽  
Estimation Model ◽  
Soil Particle Size ◽  
First Derivative

Soil organic matter (SOM) is an important index to evaluate soil fertility and soil quality, while playing an important role in the terrestrial carbon cycle. The technology of hyperspectral remote sensing is an important method to estimate SOM content efficiently and accurately. This study researched the best hyperspectral estimation model for SOM content in Shangri-La forest soil. The spectral reflectance of soils with sizes of 2 mm, 1 mm, 0.50 mm, and 0.25 mm were measured indoors. After smoothing and de-noising, the reciprocal reflectance (RR), logarithmic reflectance (LR), first-derivative reflectance (FR), reciprocal first-derivative reflectance (RFR), logarithmic first-derivative reflectance (LFR), and mathematical transformations of the original spectral reflectance (REF) were carried out to analyze the relevance of spectral reflectance and SOM content and extract the characteristic bands. Finally the simple linear regression (SLR), multiple stepwise linear regression (SMLR), and partial least squares regression (PLSR) models for SOM content estimation were established. The results showed that: (1) With the decrease of soil particle size, the spectral reflectance increased. The smaller the soil particle sizes, the more obvious was the increase in spectral reflectance. (2) The sensitive bands of SOM were mainly in the 580–690 nm range (correlation coefficient (R) > 0.6, p-value (p) < 0.01), and the spectral information of SOM could be significantly enhanced by first-order differential transformation. (3) Comparing the three models, PLSR had better estimation ability than SMLR and SLR. The precision of the 0.25 mm soil particle size and the LFR index in the PLSR estimation model of SOM content was the best (coefficient of determination of validation (Rv2) = 0.91, root mean square error of validation (RMSEv) = 13.41, the ratio of percent deviation (RPD) = 3.33). The results provide a basis for monitoring SOM content rapidly in the forests of Northwest Yunnan, and provide a reference for forest SOM estimation in other areas.

Fractal Characteristics of Soil Particle-Size Distributions under Different Landform and Land-Use Types

2011 ◽  
Vol 201-203 ◽  
pp. 2679-2684 ◽  
Author(s):  
Xiao Yu Song ◽  
Huai You Li
Keyword(s):  
Land Use ◽  
Particle Size ◽  
Fractal Dimension ◽  
Soil Particle ◽  
Size Distributions ◽  
Particle Size Distributions ◽  
Soil Particle Size ◽  
Mass Fractal ◽  
Land Use Types ◽  
Mass Fractal Dimension

It can provide theoretical guidance for the prevention of soil erosion and planting structure adjustment to study on fractal characteristics of soil particle-size distributions under different landform and land-use types. Soil particle-size distribution (PSD) is one of the most important physical attributes due to its strong influence on soil properties related to water movement, productivity and soil erosion. The fractal and multifractal measures were useful tools in identifying soil PSD with different taxonomy. Land-use type, as one of important factors to affect soil PSD was paid little attention in the previous research. In this paper, the theory of soil particle-size fractal was applied to characterize PSD in soils with the same taxonomy and different land-use types. Then the effects of land use on the fractal and multifractal parameters were analyzed. The study was conducted on the loess hilly areas of the Loess Plateau in Nanxiaohegou basin of Gansu. Soil was sampled from 18 land use types. The soil PSDs were obtained by sieving and pipette methods. The result showed that: (1) the mass fractal dimension of soil particles was significant correlated with the soil mass clay content; （2）both the soil mass clay content and the mass fractal dimension of soil particles showed the same tendency of increasing with the soil layer， and the mass fractal dimension relates to the land uses and topographic feature. Thus they could be potential parameters to reflect soil physical properties influenced by land use. More significant result is required in the future study to test the applicability of fractal parameters in characterizing land use effect on soil particle-size distributions.

scholarly journals Effects of Agricultural Reclamation on Soil Physicochemical Properties in the Mid-Eastern Coastal Area of China

Land ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 142 ◽  
Author(s):  
Yan Xu ◽  
Lijie Pu ◽  
Runsen Zhang ◽  
Ming Zhu ◽  
Meng Zhang ◽  
...  
Keyword(s):  
Land Use ◽  
Particle Size ◽  
Physicochemical Properties ◽  
Size Ratio ◽  
Soil Particle ◽  
Population Pressure ◽  
Available Phosphorus ◽  
Soil Physicochemical Properties ◽  
Soil Particle Size ◽  
Particle Size Ratio

Agricultural reclamation in coastal zones is effective for mitigating population pressure on the food supply. Soil properties are important factors influencing crop production in reclaimed coastal lands. This study aims to investigate the impacts of time and land use trajectories on soil physicochemical properties after reclamation. We sampled soils in areas that were reclaimed in 1999, 1998, 1991, 1989, 1986, 1981, and 1979 and determined some soil physicochemical properties such as electrical conductivity with a 1:5 soil:water ratio (EC1:5), exchange sodium percentage (ESP), sodium adsorption ratio (SAR), pH, organic matter (OM), total nitrogen (TN), alkaline hydrolyzable nitrogen (AN), cation exchange capacity (CEC), total phosphorus (TP), available phosphorus (TP) and soil particle size ratio. We analyzed their correlation with land use and the time since reclamation using one-way analysis of variance (ANOVA) and principal component analysis (PCA). The results showed that soil physicochemical properties changed significantly after agricultural reclamation. Soil EC1:5, ESP, and SAR declined rapidly, and OM, TN, and AN increased rapidly during the 29 years after reclamation. The soil particle size ratio was not significantly correlated with reclamation time. The land-use trajectories identified after reclamation had obvious effects on soil physicochemical properties. Aquaculture ponds were superior to cultivated land in terms of decreasing soil salinity but were inferior in terms of soil nutrient accumulation. In the future, more attention should be given to the environmental effects of agricultural reclaimed soils.

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