Ambient PM2.5 and Related Health Impacts of Spontaneous Combustion of Coal and Coal Gangue

2021 ◽  
Author(s):  
Wenkai Guo ◽  
Bing Chen ◽  
Guangyao Li ◽  
Mingyue Liu ◽  
Xiao Liu ◽  
...  
Keyword(s):  
Spontaneous Combustion ◽  
Coal Gangue ◽  
Health Impacts ◽  
Spontaneous Combustion Of Coal

Experimental study of the effects of stacking modes on the spontaneous combustion of coal gangue

2019 ◽  
Vol 123 ◽  
pp. 39-47 ◽  
Author(s):  
Yuguo Wu ◽  
Xiaoyang Yu ◽  
Shengyong Hu ◽  
He Shao ◽  
Qi Liao ◽  
...  
Keyword(s):  
Experimental Study ◽  
Spontaneous Combustion ◽  
Coal Gangue ◽  
Spontaneous Combustion Of Coal

scholarly journals Preparation, Properties and Application of Gel Materials for Coal Gangue Control

Energies ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 557
Author(s):  
Xiaoqiang Zhang ◽  
Yuanyuan Pan
Keyword(s):  
Spontaneous Combustion ◽  
Sodium Dodecyl ◽  
Coconut Oil ◽  
Coal Gangue ◽  
Mass Ratio ◽  
Foaming Agent ◽  
Foam Stabilizer ◽  
Fire Extinguishing ◽  
Field Practice ◽  
Spontaneous Combustion Of Coal

In order to solve the problem of the spontaneous combustion of coal gangue, a coal gangue fire-extinguishing material of gel–foam was developed. The foaming agent was screened by the Waring blender method with varying foam amounts, and the superabsorbent foam stabilizer was synthesized by free radical polymerization. Moreover, the gel–foam was used in a spontaneous combustion of coal gangue mountain field practice. The results showed that when the mass fraction of sodium dodecyl sulfonate and coconut oil amide propyl betaine was 0.6% and 4:6, the foaming amount was as high as 1500 mL. When the mass ratio of chitosan to acrylic acid was 1:6, the neutralization degree was 80%, the cross-linking agent was 0.8%, and the initiator was 0.01%, the water absorption of the synthesized superabsorbent foam stabilizer reached 476 mL/g. The synthesized gel–foam was tested in a spontaneous combustion coal gangue hill in a certain area, and no reburning sign was found within one month.

scholarly journals A Simplified Model for SO2 Generation during Spontaneous Combustion of Coal Gangue

2021 ◽  
Vol 118 (5) ◽  
pp. 1469-1482
Author(s):  
Ang Li ◽  
Peng Lei ◽  
Changkun Chen ◽  
Tong Xu
Keyword(s):  
Spontaneous Combustion ◽  
Coal Gangue ◽  
Simplified Model ◽  
Spontaneous Combustion Of Coal

scholarly journals Environment influences and extinguish technology of spontaneous combustion of coal gangue heap of Baijigou coal mine in China

2017 ◽  
Vol 136 ◽  
pp. 66-72 ◽  
Author(s):  
Xiaowei Zhai ◽  
Shibo Wu ◽  
Kai Wang ◽  
Carsten Drebenstedt ◽  
Jingyu Zhao
Keyword(s):  
Coal Mine ◽  
Spontaneous Combustion ◽  
Coal Gangue ◽  
Spontaneous Combustion Of Coal

scholarly journals Effect of Bactericides on Control of Acidification Pollution and Spontaneous Combustion of Coal Gangue Dumps in China and Its Mechanism

2020 ◽  
Vol 12 (17) ◽  
pp. 6697
Author(s):  
Zhenqi Hu ◽  
Qi Zhu ◽  
Jingjing Xu ◽  
Xue Zhang
Keyword(s):  
Reduction Potential ◽  
Spontaneous Combustion ◽  
Sodium Dodecyl ◽  
Coal Gangue ◽  
Flight Mass Spectrometry ◽  
Oxidation Reduction ◽  
Oxidation Reduction Potential ◽  
Flocculation Test ◽  
Spontaneous Combustion Of Coal ◽  
Altered Cell

Oxidation of pyrite in the coal gangue dumps usually results in acidification and spontaneous combustion, causing many environmental problems such as air, soil, and water pollution. The oxidizing bacteria exacerbate problems such as acidification, spontaneous combustion, and explosions. The bacterium Acidithiobacillus ferrooxidans was first separated and isolated from coal gangue samples. Bactericides such as Triclosan, Kathon (isothiazolinones), and sodium dodecyl sulfate (SDS) were selected for our study. Our findings indicated that the addition of bactericide effectively inhibited the oxidation of Fe2+, preventing pH decreases and oxidation-reduction potential increases. We also investigated the bactericidal mechanisms employed by the three bactericides against A. ferrooxidans by conducting a protein flocculation test, scanning electron microscopy, and time-of-flight mass spectrometry. We found that the specific inhibitory activities of the three bactericides differed. Kathon treatment caused A. ferrooxidans to release small amounts of proteins and lipids. A. ferrooxidans treated with Triclosan released small amounts of lipids and large amounts of plasmas. SDS caused the bacteria to release a large amount of proteins and lipids and degraded the surface structure of the cells, resulting in altered cell morphology.

The variations of free radical and index gas CO in spontaneous combustion of coal gangue under different oxygen concentrations

2021 ◽  
Author(s):  
Xiaoyuan Jiang ◽  
Shengqiang Yang ◽  
Buzhuang Zhou ◽  
Wanxin Song ◽  
Jiawen Cai ◽  
...  
Keyword(s):  
Free Radical ◽  
Spontaneous Combustion ◽  
Coal Gangue ◽  
Spontaneous Combustion Of Coal ◽  
Oxygen Concentrations

scholarly journals Simulating Heat Stress of Coal Gangue Spontaneous Combustion on Vegetation Using Alfalfa Leaf Water Content Spectral Features as Indicators

2021 ◽  
Vol 13 (13) ◽  
pp. 2634
Author(s):  
Qiyuan Wang ◽  
Yanling Zhao ◽  
Feifei Yang ◽  
Tao Liu ◽  
Wu Xiao ◽  
...  
Keyword(s):  
Heat Stress ◽  
Water Content ◽  
Spontaneous Combustion ◽  
Leaf Water ◽  
Coal Gangue ◽  
Leaf Water Content ◽  
Spectral Features ◽  
Lasso Regression ◽  
Stress Assessment ◽  
First Derivative

Vegetation heat-stress assessment in the reclamation areas of coal gangue dumps is of great significance in controlling spontaneous combustion; through a temperature gradient experiment, we collected leaf spectra and water content data on alfalfa. We then obtained the optimal spectral features of appropriate leaf water content indicators through time series analysis, correlation analysis, and Lasso regression analysis. A spectral feature-based long short-term memory (SF-LSTM) model is proposed to estimate alfalfa’s heat stress level; the live fuel moisture content (LFMC) varies significantly with time and has high regularity. Correlation analysis of the raw spectrum, first-derivative spectrum, spectral reflectance indices, and leaf water content data shows that LFMC and spectral data were the most strongly correlated. Combined with Lasso regression analysis, the optimal spectral features were the first-derivative spectral value at 1661 nm (abbreviated as FDS (1661)), RVI (1525,1771), DVI (1412,740), and NDVI (1447,1803). When the classification strategies were divided into three categories and the time sequence length of the spectral features was set to five consecutive monitoring dates, the SF-LSTM model had the highest accuracy in estimating the heat stress level in alfalfa; the results provide an important theoretical basis and technical support for vegetation heat-stress assessment in coal gangue dump reclamation areas.

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