Hazardous elements in soil and coal from the Oltu coal mine district, Turkey

Tozsin, Gulsen

doi:10.1016/j.coal.2014.05.011

Cited by 32 publications

(7 citation statements)

References 37 publications

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“…It was found that As concentration was higher than the finding in coal mine-affected agricultural soils in the northern part of Bangladesh (Bhuiyan et al, 2010), with the range of 5.66-8.25 mg/kg. Pb and Hg concentrations were much lower than those in soils from the Oltu coal mine district in Turkey (Tozsin, 2014).…”

Section: Heavy Metal Pollution Of Cultivated Landmentioning

confidence: 70%

Changes in soil properties in the soil profile after mining and reclamation in an opencast coal mine on the Loess Plateau, China

Liu

Bai

Zhou

et al. 2017

Ecological Engineering

118

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Surface mining involves drastic disturbances to regional ecosystem and soil properties. Recovery of soil physicochemical characteristics is essential for successful restoration of the landscape and the soil itself after mining. To identify the changes in the soil profile after mining and reclamation, we studied the soils of the largest opencast coal mine in China, Pingshuo, located in the Loess Plateau. Soil samples representing three different land use types and six different reclamation times were collected in the soil profiles (0-100 cm) in 2012 and were analyzed for field capacity, bulk density, pH, soil organic matter (SOM), N, P, K, available P, and available K. Results showed that most reclaimed mine soil properties (including bulk density, pH, P, K, available P and available K) increased in comparison with those of the natural soils, whereas SOM and N decreased after mining and reclamation, especially in the topsoil (0-40 cm). Trend lines of P and available K in the reclaimed mine soils and natural soils were similar tested by Anova. Trend lines of P in the natural soils, and pH, P and K in the reclaimed mine soils were relatively stable and showed no difference in the soil profile (P<0.05). Soil properties and their trend lines in forest land were more similar to natural soils than were cultivated land and grass land in deeper (60-100 cm) soil layers. Reclamation time (time that has passed after reclamation was finished) was positively associated with SOM, N, P, and available P in cultivated land; pH decreased with the increase of reclamation time in forest land but N showed the opposite trend; pH and P were positively correlated with reclamation time but K and available K showed negative relationships with reclamation time in grassland. Bulk density vs. field capacity and available K vs. pH showed significant correlations in the soil profile (0-100 cm) (P<0.05). Significant correlations were also observed for available K vs. bulk density in the topsoil layer (0-30 cm) and bottom layer (below 60 cm) (P<0.05). P and pH showed positively significant correlation in the subsoil layer (30-60 cm) and bottom layer (below 60 cm) (P<0.05). Most of heavy metals (As, Cd, Cr, Cu, Pb and Hg) of cultivated land exceeded their corresponding background values in Shanxi province, where our sites were located. However, compared with Chinese soil guidelines (Grade II values) (GB15618-1995), heavy metals were all below the threshold values.

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Section: Heavy Metal Pollution Of Cultivated Landmentioning

confidence: 70%

Changes in soil properties in the soil profile after mining and reclamation in an opencast coal mine on the Loess Plateau, China

Liu

Bai

Zhou

et al. 2017

Ecological Engineering

118

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“…In an acid environment, metal element, Pb, Cd, Cu, Ni, have high mobility, while some metalloid element, As, Se, tend to migrate in an alkaline environment. Damaging effects of AMD are reported in Asia [34,[90][91][92][93], North America [72,[94][95][96], Europe [83,97], South America [47,98,99]. When AMD enters surface water bodies, the effects include biotic impacts on stream and lake organisms through direct toxicity, habitat alteration by metal precipitates, visual changes from orange or yellow staining of stream sediments, nutrient cycle disruptions, or other mechanisms, and the water often becomes unsuitable for domestic, agricultural, and industrial uses.…”

Section: Contamination By Coal Mine Watermentioning

confidence: 99%

Data Mining for Source Apportionment of Trace Elements in Water and Solid Matrix

Shan¹,

Shi²

2021

Trace Metals in the Environment - New Approaches and Recent Advances

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Trace elements migrate among different environment bodies with the natural geochemical reactions, and impacted by human industrial, agricultural, and civil activities. High load of trace elements in water, river and lake sediment, soil and air particle lead to potential to health of human being and ecological system. To control the impact on environment, source apportionment is a meaningful, and also a challenging task. Traditional methods to make source apportionment are usually based on geochemical techniques, or univariate analysis techniques. In recently years, the methods of multivariate analysis, and the related concepts data mining, machine learning, big data, are developing fast, which provide a novel route that combing the geochemical and data mining techniques together. These methods have been proved successful to deal with the source apportionment issue. In this chapter, the data mining methods used on this topic and implementations in recent years are reviewed. The basic method includes principal component analysis, factor analysis, clustering analysis, positive matrix fractionation, decision tree, Bayesian network, artificial neural network, etc. Source apportionment of trace elements in surface water, ground water, river and lake sediment, soil, air particles, dust are discussed.

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“…Main minerals in coal include quartz, clay, sulfur-contained minerals, and a lesser number of feldspars and carbonates [20,21]. As, Cr, Pb, Hg, Mo, Zn, and Sb were found to be enriched in coal compared with continent crust [22][23][24][25], while compared to coal, host rock and gangue rejected on the land of coal can release up to 10 times toxic elements into water [2,[26][27][28].…”

Section: Introductionmentioning

confidence: 99%

Leaching Mechanisms of Trace Elements from Coal and Host Rock Using Method of Data Mining

Shan¹

2022

Artificial Intelligence

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Coal and host rock, including the gangue dump, are important sources of toxic elements, which have high-contaminating potential to surface and groundwater. Surface water in the coal mine area and groundwater in the active or abandoned coal mines have been observed to be polluted by trace elements, such as arsenic, mercury, lead, selenium, cadmium. It is helpful to control pollution caused by the trace elements by understanding the leaching behavior and mechanism. The leaching and migration of the trace elements are controlled mainly by two factors, trace elements’ occurrence and the surrounding environment. The traditional method to investigate elements’ occurrence and leaching mechanism is based on the geochemical method. In this research, the data mining method was applied to find the relationship and patterns, which is concealed in the data matrix. From the geochemical point of view, the patterns mean the occurrence and leaching mechanism of trace elements from coal and host rock. An unsupervised machine learning method, principal component analysis was applied to reduce dimensions of data matrix of solid and liquid samples, and then, the re-calculated data were clustered to find its co-existing pattern using the method of Gaussian mixture model.

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Hazardous elements in soil and coal from the Oltu coal mine district, Turkey

Cited by 32 publications

References 37 publications

Changes in soil properties in the soil profile after mining and reclamation in an opencast coal mine on the Loess Plateau, China

Changes in soil properties in the soil profile after mining and reclamation in an opencast coal mine on the Loess Plateau, China

Data Mining for Source Apportionment of Trace Elements in Water and Solid Matrix

Leaching Mechanisms of Trace Elements from Coal and Host Rock Using Method of Data Mining

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