Evaluating the effect of coal mining subsidence on the agricultural soil quality using principal component analysis

Gao, Xiaoming; Zhao, Tianjie; Chang, Wen-ke; Xiao, Chunqiao; He, Yongtao

doi:10.4067/s0718-58392018000200173

Cited by 29 publications

(14 citation statements)

References 27 publications

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“…Soil physical and chemical properties play a central role in soil quality and are extensively used as soil quality indicators in the assessment and monitoring of degraded ecosystems [14]. Organic matter, nitrogen, and potassium contents are lower in mining subsided soils than in unmined soils, but the bulk density in mining subsided soils is higher than that in unmined areas [15]. The soil organic matter and available nutrients increase and the soil quality improves after the reclamation of a mining subsidence area [16].…”

Section: Introductionmentioning

confidence: 99%

Land Subsidence in a Coal Mining Area Reduced Soil Fertility and Led to Soil Degradation in Arid and Semi-Arid Regions

Zhang

Ruan

et al. 2019

IJERPH

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Underground coal mining in western China causes heavy land subsidence and alters the soil ecology. However, the effects of land subsidence on soil fertility are not currently known, and the key factors governing its impact remain unclear in sandy land. We investigated the effects of land subsidence induced by underground mining on the soil quality in western China. Soil samples were collected at 0–15 cm and 15–30 cm from control and subsidence areas in three coal mines. The results showed that the soil water content (SWC), clay and silt percentage, total nitrogen (TN), dissolved organic carbon (DOC), ammonia nitrogen (NH4+-N), nitrate nitrogen (NO3--N), available phosphorus (AP), and available potassium (AK) of the subsidence areas were significantly lower than those of the control areas. The saccharase, urease, and alkaline phosphatase activities in the subsidence areas decreased compared to those in the control areas, while the sand percentage of soil tended to increase. Soil nutrient contents, bacterial quantities, and activities of soil enzymes were positively correlated with SWC. Redundancy analysis (RDA) showed that the soil particle size distribution, SWC, and electrical conductivity (EC) were the major environmental factors driving changes in soil properties. These results indicated that land subsidence induced by coal mining caused losses in surface soil water and nutrients, and ultimately led to soil quality degradation. Therefore, the reclamation of mining subsidence land might be necessary, especially in arid and semi-arid areas.

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Section: Introductionmentioning

confidence: 99%

Land Subsidence in a Coal Mining Area Reduced Soil Fertility and Led to Soil Degradation in Arid and Semi-Arid Regions

Zhang

Ruan

et al. 2019

IJERPH

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“…The igraph and vegan in R (4.1.0) were used for statistical analysis The factor analysis was used to calculate the soil fertility index (SFI) (Supplementary Text S4) (Li et al, 2014;Guo et al, 2018). The relationships between soil physicochemical properties and microbial alpha diversity indexes were detected by Pearson correlation analysis.…”

Section: Discussionmentioning

confidence: 99%

Response of Soil Fertility and Bacterial Community Composition to Vegetation Species in a Coal Mining Subsidence Area: A Survey After 20-Year Reclamation

Wang

Yang

Wang

et al. 2022

Front. Environ. Sci.

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Revegetation is an important restoration approach after reclamation in coal mining subsidence area. However, few studies have paid attention to the impacts of different vegetation species on soil fertility and bacterial community composition in the reclamation area filled with fly ash for a long time. In this study, soil fertility and bacterial community composition were investigated in a non-subsidence area (FCK) and a coal mining subsidence reclamation area restored vegetation with woody plants (pagoda trees, FS; peach trees, FP) and herbaceous plants (wheat-maize rotation, FW) for 20 years. Results showed that topsoil and subsoil nutrients including available K and alkali-hydrolyzable N, soil organic matter, and total carbon in the non-subsidence site were significantly higher than those in reclamation sites. Topsoil fertility indices (SFI) in reclamation sites were lower than that in non-subsidence site, and soil fertility index in FW was higher than that in FS and FP. Moreover, the SFI in topsoil (from −0.24 to 2.08) was significantly higher than that in subsoil (from −1.12 to −0.39). 16S rRNA gene sequencing analysis showed Proteobacteria, Acidobacteria and Actinobacteria were the dominant bacterial phyla in all sites, but the subsoil bacterial alpha indices (Shannon and Simpson) in the non-subsidence site were higher than those in reclamation sites. Principal coordinates analysis and non-metric multidimensional scaling analysis showed that the bacterial community composition in reclamation sites was significantly different from that in the non-subsidence site, and they were similar in the soil with wheat-maize rotation model between non-subsidence and reclamation sites. Co-occurrence network analysis noted that the network of dominant bacterial operational taxonomic units in the subsoil was more complex than that in the topsoil. Redundancy analysis suggested soil pH in topsoil and subsoil was an important driving factor for soil bacteria community composition. Overall, the reclamation site with the wheat-maize rotation model had higher soil fertility and bacterial community composition was similar to that of the non-subsidence site, indicating revegetation with the wheat-maize rotation model is a good reclamation approach to improve soil fertility in coal mining subsidence area.

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“…*BD -bulk density, OC -soil organic carbon, CEC -cation exchange capacity, POT -exchangeable potassium, N2 -available nitrogen, PHOS -available phosphorus, MOIS -moisture, COND -electrical conductivity high factor loading with absolute values within 10% of the highest factor loading are regarded as highly weighted factors and thus were retained for MDS. To reduce the redundancy among the highly weighted variables, given that more than one factor are present for a single principal component, Pearson's correlation coefficients among the highly weighted variables are required to determine those redundant variables and to be eliminated from the MDS (Andrews et al, 2002;Guo et al, 2018;Yu et al, 2018).…”

Section: Soil Quality Index (Sqi) Evaluationmentioning

confidence: 99%

“…For all the corresponding observations, the S values are calculated as the ratio of the observed value over the highest observation value. Similarly, parameters identified as bad for the soil are tagged as "less is better"; the lowest loaded value was assigned a score of 1, and the S values for all the corresponding observations were calculated as the ratio of the lowest value over the observed value of samples for each variable (Guo et al, 2018). The methods discussed in Sharma et al (2005) were used to calculate the values of W using the PCA results.…”

Section: Soil Quality Index (Sqi) Evaluationmentioning

confidence: 99%

Evaluation of Soil Quality of a Coal Mine Affected Forest at Changki, Nagaland, India

Semy

Singh

Vats

2021

Journal of Environmental Engineering and Landscape Management

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The present study was conducted at a coal mining affected forest and a non-affected forest to analyze the seasonal changes in soil physico-chemical properties, incorporate additive and weighted soil quality index (SQI) to determine the soil quality and check the affected forest soil pollution status. Comparative SQI shows that the non-affected forest presented higher SQI in all the seasons (winter, spring, summer and autumn). However, in both the forest the seasonal additive and weighted SQI was categorised as autumn > summer > spring > winter and the overall SQI of the soil depth was ranked as 0–10 > 10–20 > 20–30 cm. The Single pollution index (PI) points out that cadmium (Cd) was the main potential contributor to soil pollution while the Pollution load index (PLI) and Nemerow integrated pollution index (NIPI) revealed moderate soil pollution status. The result summarized that coal mining activities can elevate soil deterioration rate, such as loss in soil organic carbon, reduction in nutrient availability, and slowing down the rejuvenating process of forest soil.

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Evaluating the effect of coal mining subsidence on the agricultural soil quality using principal component analysis

Cited by 29 publications

References 27 publications

Land Subsidence in a Coal Mining Area Reduced Soil Fertility and Led to Soil Degradation in Arid and Semi-Arid Regions

Land Subsidence in a Coal Mining Area Reduced Soil Fertility and Led to Soil Degradation in Arid and Semi-Arid Regions

Response of Soil Fertility and Bacterial Community Composition to Vegetation Species in a Coal Mining Subsidence Area: A Survey After 20-Year Reclamation

Evaluation of Soil Quality of a Coal Mine Affected Forest at Changki, Nagaland, India

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