scholarly journals Organic matter in constructed soils from a coal mining area in southern Brazil

2006 ◽  
Vol 37 (11) ◽  
pp. 1537-1545 ◽  
Author(s):  
Deborah P. Dick ◽  
Heike Knicker ◽  
Leticia G. Ávila ◽  
Alberto V. Inda ◽  
Elvio Giasson ◽  
...  
Keyword(s):  
Organic Matter ◽  
Coal Mining ◽  
Mining Area ◽  
Southern Brazil ◽  
Coal Mining Area

Leachability of major and minor elements from soils and sediments of an abandoned coal mining area in Southern Brazil

2015 ◽  
Vol 187 (3) ◽  
Author(s):  
Maria Josefa Santos ◽  
César Ricardo Teixeira Tarley ◽  
Isabella Cunha ◽  
Iago Zapelini ◽  
Evgeny Galunin ◽  
...  
Keyword(s):  
Coal Mining ◽  
Mining Area ◽  
Southern Brazil ◽  
Coal Mining Area ◽  
Minor Elements ◽  
Soils And Sediments

scholarly journals Assessing Soil Organic Matter Content in a Coal Mining Area through Spectral Variables of Different Numbers of Dimensions

Sensors ◽  
2020 ◽  
Vol 20 (6) ◽  
pp. 1795 ◽  
Author(s):  
Chuanmei Zhu ◽  
Zipeng Zhang ◽  
Hongwei Wang ◽  
Jingzhe Wang ◽  
Shengtian Yang
Keyword(s):  
Organic Matter ◽  
Soil Organic Matter ◽  
Coal Mining ◽  
Spectral Response ◽  
Spectral Feature ◽  
Organic Matter Content ◽  
Mining Area ◽  
Coal Mining Area ◽  
Band Combination ◽  
First Choice

Soil organic matter (SOM) is a crucial indicator for evaluating soil quality and an important component of soil carbon pools, which play a vital role in terrestrial ecosystems. Rapid, non-destructive and accurate monitoring of SOM content is of great significance for the environmental management and ecological restoration of mining areas. Visible-near-infrared (Vis-NIR) spectroscopy has proven its applicability in estimating SOM over the years. In this study, 168 soil samples were collected from the Zhundong coal field of Xinjiang Province, Northwest China. The SOM content (g kg−1) was determined by the potassium dichromate external heating method and the soil reflectance spectra were measured by the spectrometer. Two spectral feature extraction strategies, namely, principal component analysis (PCA) and the optimal band combination algorithm, were introduced to choose spectral variables. Linear models and random forests (RF) were used for predictive models. The coefficient of determination (R2), root mean square error (RMSE), and the ratio of the performance to the interquartile distance (RPIQ) were used to evaluate the predictive performance of the model. The results indicated that the variables (2DI and 3DI) derived from the optimal band combination algorithm outperformed the PCA variables (1DV) regardless of whether linear or RF models were used. An inherent gap exists between 2DI and 3DI, and the performance of 2DI is significantly poorer than that of 3DI. The accuracy of the prediction model increases with the increasing number of spectral variable dimensions (in the following order: 1DV < 2DI < 3DI). This study proves that the 3DI is the first choice for the optimal band combination algorithm to derive sensitive parameters related to SOM in the coal mining area. Furthermore, the optimal band combination algorithm can be applied to hyperspectral or multispectral images and to convert the spectral response into image pixels, which may be helpful for a soil property spatial distribution map.

scholarly journals Geochemistry of acid mine drainage from a coal mining area and processes controlling metal attenuation in stream waters, southern Brazil

2014 ◽  
Vol 86 (2) ◽  
pp. 539-554 ◽  
Author(s):  
VERIDIANA P. CAMPANER ◽  
WANILSON LUIZ-SILVA ◽  
WILSON MACHADO
Keyword(s):  
Chemical Composition ◽  
Coal Mining ◽  
Surface Waters ◽  
Mine Drainage ◽  
Mining Area ◽  
Southern Brazil ◽  
Acid Drainage ◽  
Coal Mining Area ◽  
Brazilian Legislation ◽  
Ph Range

Acid drainage influence on the water and sediment quality was investigated in a coal mining area (southern Brazil). Mine drainage showed pH between 3.2 and 4.6 and elevated concentrations of sulfate, As and metals, of which, Fe, Mn and Zn exceeded the limits for the emission of effluents stated in the Brazilian legislation. Arsenic also exceeded the limit, but only slightly. Groundwater monitoring wells from active mines and tailings piles showed pH interval and chemical concentrations similar to those of mine drainage. However, the river and ground water samples of municipal public water supplies revealed a pH range from 7.2 to 7.5 and low chemical concentrations, although Cd concentration slightly exceeded the limit adopted by Brazilian legislation for groundwater. In general, surface waters showed large pH range (6 to 10.8), and changes caused by acid drainage in the chemical composition of these waters were not very significant. Locally, acid drainage seemed to have dissolved carbonate rocks present in the local stratigraphic sequence, attenuating the dispersion of metals and As. Stream sediments presented anomalies of these elements, which were strongly dependent on the proximity of tailings piles and abandoned mines. We found that precipitation processes in sediments and the dilution of dissolved phases were responsible for the attenuation of the concentrations of the metals and As in the acid drainage and river water mixing zone. In general, a larger influence of mining activities on the chemical composition of the surface waters and sediments was observed when enrichment factors in relation to regional background levels were used.

Blood markers among residents from a coal mining area

2020 ◽  
Vol 28 (2) ◽  
pp. 1409-1416
Author(s):  
Ana Paula Bigliardi ◽  
Caroline Lopes Feijo Fernandes ◽  
Edlaine Acosta Pinto ◽  
Marina dos Santos ◽  
Edariane Menestrino Garcia ◽  
...  
Keyword(s):  
Coal Mining ◽  
Mining Area ◽  
Coal Mining Area
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