Using multi-fractal and joint multi-fractal methods to characterize spatial variability of reconstructed soil properties in an opencast coal-mine dump in the Loess area of China

Wang, Fengjiao; Wang, Jinman; Wang, Yu

doi:10.1016/j.catena.2019.104111

Cited by 26 publications

(25 citation statements)

References 44 publications

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“…However, under these conditions, a large-scale settlement has been formed, and a large number of settlement pits and ground fissures are generated, which in turn led to soil quality degradation (Hu et al 2014a, b), which has caused great damage to the ecological environment of the mining area. Meanwhile, the soil erosion is intensified due to the uneven surface, cracks, and fissures in the subsidence area (Hu et al 2013;Zhang et al 2015), the physicochemical properties of soil and microbial properties gradually deteriorated (Feng et al 2019;Meng et al 2018;Wang et al 2013;Yang et al 2016), cultivated land loses irrigation capacity, and drought resistance capacity is greatly weakened, which seriously affects its productivity (Wang et al 2018(Wang et al , 2019a. The soil deformation caused by mining subsidence will cause damage to the plant root system, and then affect plant growth, and even cause the death of the plant body in serious cases (Hou et al 2005).…”

Section: Introductionmentioning

confidence: 99%

Examining the relationship between coal mining subsidence and crop failure in plains with a high underground water table

et al. 2021

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Purpose The underground mining of coal leads to land subsidence and changes agricultural land into a water-logged area. This study aims to examine the relationship between coal mining subsidence and crop failure in plains with a high underground water table. Methods The Dongtan Coal Mine in Jining City of Shandong Province in China was selected as an example. Samples were gathered at gradient intervals based on the strike, dip, and angular bisector directions. The spatial variability and spatial correlation were analyzed by combining classical statistics and geostatistics. Results The order of the coefficient of variation in each parameter was as follows: the available phosphorus > available potassium > leaf area index (LAI) > biomass > soil moisture content > chlorophyll content (SPAD) > soil organic matter (SOM) > alkaline nitrogen (AN) > bulk density > elevation. Except the biomass had moderately spatially dependent, the other parameters all exhibited a strongly spatially dependent. At the level of 0.01, the correlation coefficient between SOM and AN was 0.67. The correlation coefficients relating biomass with SPAD and LAI were 0.70 and 0.69, respectively, and between SPAD and LAI was 0.68. The correlation coefficients between distance and altitude, distance and biomass, and altitude and biomass are 0.95, 0.67, and 0.65, respectively. Conclusion Coal mining leads to stretching and deformation of the ground, land subsidence, and changes in the physicochemical properties of the soil. In this case, the yield of aboveground crops is poor, but under the influence of external factors such as irrigation and breeding, the threat of coal mining to crop growth has been reduced.

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Section: Introductionmentioning

confidence: 99%

Examining the relationship between coal mining subsidence and crop failure in plains with a high underground water table

et al. 2021

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“…External anthropogenic interference, such as the application of straw mulch or forage, affects the topsoil more directly than the subsoil because of the closer contact and nutrient addition, resulting in comparatively higher contents of TN and available N in the topsoil (Fu et al 2019). Subsoil organic matter is derived from the retention of organic matter that is transported with percolating water (Mikutta et al 2019), and the changes in subsoil properties (e.g., mineral N content) are similar to or greater than those in the topsoil (Wang et al 2019). Accordingly, with respect to the stable N pool, there may be equivalent or greater changes in the subsoil compared with those in the topsoil.…”

Section: Introductionmentioning

confidence: 99%

Response of nitrogen fractions in the rhizosphere and bulk soil to organic mulching in an urban forest plantation

Sun

Wang

et al. 2021

J. For. Res.

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Nitrogen is an essential component in forest ecosystem nutrient cycling. Nitrogen fractions, such as dissolved nitrogen, ammonium, nitrate, and microbial biomass nitrogen, are sensitive indicators of soil nitrogen pools which affect soil fertility and nutrient cycling. However, the responses of nitrogen fractions in forest soils to organic mulching are less well understood. The rhizosphere is an important micro-region that must be considered to better understand element cycling between plants and the soil. A field investigation was carried out on the effect of mulching soil in a 15-year-old Ligustrum lucidum urban plantation. Changes in total nitrogen and nitrogen fractions in rhizosphere and bulk soil in the topsoil (upper 20 cm) and in the subsoil (20–40 cm) were evaluated following different levels of mulching, in addition to nitrogen contents in fine roots, leaves, and organic mulch. The relationships between nitrogen fractions and other measured variables were analysed. Organic mulching had no significant effect on most nitrogen fractions except for the rhizosphere microbial biomass nitrogen (MBN), and the thinnest (5 cm) mulching layer showed greater effects than other treatments. Rhizosphere MBN was more sensitive to mulching compared to bulk soil, and was more affected by soil environmental changes. Season and soil depth had more pronounced effects on nitrogen fractions than mulching. Total nitrogen and dissolved nitrogen were correlated to soil phosphorus, whereas other nitrogen fractions were strongly affected by soil physical properties (temperature, water content, bulk density). Mulching also decreased leaf nitrogen content, which was more related to soil nitrogen fractions (except for MBN) than nitrogen contents in either fine roots or organic mulch. Frequent applications of small quantities of organic mulch contribute to nitrogen transformation and utilization in urban forests.

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“…K E Y W O R D S erodibility, fractal dimension, infiltration, land-use effects, particle size distribution, Soorak watershed 1 | INTRODUCTION Distribution of soil particles is a fundamental physical characteristic that is related to most physicochemical properties of soil (Mohammadi, Shabanpour, Mohammadi, & Davatgar, 2019;Wang, Wang, & Wang, 2019). The connectivity of soil particles has a great effect on the water and its movement properties in solid particles (Wang & Wang, 2007).…”

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Fractal analysis of the infiltration curve and soil particle size in a semi‐humid watershed

Omidvar

2020

European J Soil Science

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Although fractal mathematics has been commonly used to quantify particle size distribution (PSD), limited attention has been paid to the fractal dimension of the infiltration curve (D I ). Therefore, it is necessary to determine whether the D I and fractal dimensions of PSD (D m , D clay , D silt and D sand ) can reflect the infiltration process, and soil erodibility and degradation. Accordingly, this study aimed to provide new information on the quantification of infiltration processes, and soil erodibility and degradation, using D I and D m in the Soorak basin in the northern part of Iran. The soil and infiltration properties were calculated by field and laboratory practices on 46 topsoil samples and 34 infiltrometer double-ring tests. Correlation, regression and redundancy analysis (RDA) were used to identify relationships between the infiltration curve and PSD coordinates with soil and infiltration properties. Results indicated that the D I was significantly linearly correlated with other infiltration curve characteristics, with the correlation coefficient ranging from −0.737 to −0.403 (sig. = 0.000-0.037). However, there was no significant correlation between D I and D m , D clay , D silt and D sand . Different erodibility factors, especially K USLE , had significant relations with D m , D clay , D silt , D sand and D I (p < .01), suggesting that these fractal dimensions are indicators of soil degradation. Other findings indicated that the land use had no significant effect on D I and infiltration properties, whereas K USLE , D m , D clay , D Silt and D Sand were significantly affected by land-use patterns (p < .01). These findings demonstrate that fractal dimensions of PSD and infiltration can be practicable indices to analyse soil degradation under different land-use types. Highlights • How fractal geometry adds to understanding of the infiltration process and soil degradation. • Fractal dimensions of infiltration (D I ) can describe the infiltration process. • Fractal dimensions of soil (D m ) and D I can be used as indicators of the soil erodibility. • Erodibility and fractal properties of soil were significantly affected by land use.

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Using multi-fractal and joint multi-fractal methods to characterize spatial variability of reconstructed soil properties in an opencast coal-mine dump in the Loess area of China

Cited by 26 publications

References 44 publications

Examining the relationship between coal mining subsidence and crop failure in plains with a high underground water table

Examining the relationship between coal mining subsidence and crop failure in plains with a high underground water table

Response of nitrogen fractions in the rhizosphere and bulk soil to organic mulching in an urban forest plantation

Fractal analysis of the infiltration curve and soil particle size in a semi‐humid watershed

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