Effect of covering with natural topsoil as a reclamation measure on brown-coal mining dumpsites

Borůvka, Luboš; Kozák, Josef; Mühlhanselová, Marcela; Donátová, H.; Nikodem, Antonín; Němeček, Karel; Drábek, Ondřej

doi:10.1016/j.gexplo.2011.11.004

Cited by 50 publications

(25 citation statements)

References 15 publications

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“…On a part of each dumpsite, a cover with natural topsoil was spread in an amount of approximately 2500 to 3000 t per ha one year before sampling (Borůvka et al 2012). The topsoil material originated from humic horizons of natural soils of the region, particularly Vertisols, and partly also Chernozems (clayic and haplic).…”

Section: Methodsmentioning

confidence: 99%

Comparing different data preprocessing methods for monitoring soil heavy metals based on soil spectral features

Gholizadeh¹,

Borůvka²,

Saberioon³

et al. 2015

Soil Water Res.

149

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Gholizadeh A., Borůvka L., Saberioon M.M., Kozák J., Vašát R., Němeček K. (2015): Comparing different data preprocessing methods for monitoring soil heavy metals based on soil spectral features. Soil & Water Res., 10: 218-227.The lands near mining industries in the Czech Republic are subjected to soil pollution with heavy metals. Excessive heavy metal concentrations in soils not only dramatically impact the soil quality, but also due to their persistent nature and indefinite biological half-lives, potentially toxic metals can accumulate in the food chain and can eventually endanger human health. Monitoring and spatial information of these elements require a large number of samples and cumbersome and time-consuming laboratory measurements. A faster method has been developed based on a multivariate calibration procedure using support vector machine regression (SVMR) with cross-validation, to establish a relationship between reflectance spectra in the visible-near infrared (Vis-NIR) region and concentration of Mn, Cu, Cd, Zn, and Pb in soil. Spectral preprocessing methods, first and second derivatives (FD and SD), standard normal variate (SNV), multiplicative scatter correction (MSC), and continuum removal (CR) were employed after smoothing with Savitzky-Golay to improve the robustness and performance of the calibration models. According to the criteria of maximal coefficient of determination (R 2 cv ) and minimal root mean square error of prediction in cross-validation (RMSEP cv ), the SVMR algorithm with FD preprocessing was determined as the best method for predicting Cu, Mn, Pb, and Zn concentration, whereas the SVMR model with CR preprocessing was chosen as the final method for predicting Cd. Overall, this study indicated that the Vis-NIR reflectance spectroscopy technique combined with a continuously enriched soil spectral library as well as a suitable preprocessing method could be a nondestructive alternative for monitoring of the soil environment. The future possibilities of multivariate calibration and preprocessing with real-time remote sensing data have to be explored.

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Section: Methodsmentioning

confidence: 99%

Comparing different data preprocessing methods for monitoring soil heavy metals based on soil spectral features

Gholizadeh¹,

Borůvka²,

Saberioon³

et al. 2015

Soil Water Res.

149

View full text Add to dashboard Cite

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“…Many studies of heavy metal migration in reclaimed mine soil have been carried out (Kabas et al, 2012;Rodríguez-Jordá et al, 2012;Boruvka et al, 2012). A column experiment was conducted by D. Zhu et al (1999) to evaluate the heavy metal leaching from mine tailings and contaminated soil covered by soil and plants.…”

Section: Introductionmentioning

confidence: 99%

Geochemical evaluation of heavy metal migration in Pb–Zn tailings covered by different topsoils

Zhang

Alakangas

Zhong-yi

et al. 2016

Journal of Geochemical Exploration

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“…According to Maharana & Patel (2013) and Wick et al (2009), carbon losses occur during the removal, storage and re-location of soil in mining areas, caused by both soil erosion and disintegration of natural soil aggregates. Furthermore, inadequate soil handling and distribution during topographical recomposition may cause compaction, hindering the early development of vegetation cover (Borůvka et al, 2012;Stumpf et al, 2016b), which is the main starting point for the recovery of the physical, chemical and biological quality of mining soils (Zhao et al, 2013). In this sense, Onweremadu (2007) observed that even after 30 years of revegetation, mined soils in southeastern Nigeria still had no O horizon below their surface when compared to natural soil.…”

Section: /7mentioning

confidence: 99%

Biological and physical quality of a mined soil under revegetation with perennial grasses

Stumpf

Pauletto

Pinto

et al. 2018

Agraria

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ABSTRACT:The objective of this work was to evaluate a population of mites and springtails and a physical condition of a mined soil revegeted with different species of perennial grasses. The treatments evaluated were: Urochloa brizantha, Hemarthria altissima, Paspalum notatum, Cynodon dactylon and Spontaneous vegetation. For comparative effects a natural soil were used as reference. In 2014, 56 soil samples were collected in the 0.00-0.10 m layer for the determination of the population of mites and springtails, the physical attributes and the organic carbon content. The Hemarthria altissima was the most prominent plant species among perennial grasses, to date, providing an average density of mites and springtails very close to the natural soil. Among the physical attributes, bulk density showed the most sensitive variable the changes promoted by plant species, after 11 years of revegetation. Key words: edaphic mesofauna; organic carbon; physical attributesQualidade biológica e física de um solo minerado sob revegetação com gramíneas perenes RESUMO: O objetivo do trabalho foi avaliar a população de ácaros e de colêmbolos e a condição física de um solo minerado e revegetado com diferentes espécies de gramíneas perenes. Os tratamentos avaliados foram: a Urochloa brizantha, a Hemarthria altissima, o Paspalum notatum, o Cynodon dactylon e a vegetação espontânea. Para efeitos comparativos foi utilizado o solo natural como tratamento referência. Em 2014, oram coletadas 56 amostras de solo na camada de 0,00-0,10 m para a determinação da população de ácaros e colêmbolos, dos atributos físicos e do teor de carbono orgânico. A Hemarthria altíssima foi a espécie vegetal que mais se destacou entre as gramíneas perenes, até o presente momento, proporcionando uma densidade média de ácaros e colêmbolos muito próximos aos do solo natural. Entre os atributos físicos, a densidade do solo mostrou-se a variável mais sensível as alterações promovidas pelas espécies vegetais, decorridos 11 anos de revegetação. Palavras-chave: mesofauna edáfica; carbono orgânico; atributos físicosBiological and physical quality of a mined soil under revegetation with perennial grasses Rev. Bras.

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Effect of covering with natural topsoil as a reclamation measure on brown-coal mining dumpsites

Cited by 50 publications

References 15 publications

Comparing different data preprocessing methods for monitoring soil heavy metals based on soil spectral features

Comparing different data preprocessing methods for monitoring soil heavy metals based on soil spectral features

Geochemical evaluation of heavy metal migration in Pb–Zn tailings covered by different topsoils

Biological and physical quality of a mined soil under revegetation with perennial grasses

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