Numerical simulation investigation for the pollution characteristics of dust particles in the fully mechanized mining face under different air humidity conditions

Zhou, Gang; Zhang, Lichao; Liu, Rulin; Sun, Biao; Kong, Yang; Huang, Zhian

doi:10.1016/j.jece.2021.106861

Cited by 24 publications

(3 citation statements)

References 50 publications

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“…At the stand level, coniferous forests and open-canopy peatlands generally exhibit higher air humidity compared to deciduous and mixed forests ( Augusto et al, 2002 ; Welp et al, 2017 ; Łuców, 2020 ). This difference in humidity levels could impact the migration and diffusion of dust, as higher relative humidity can lead to a shorter distance of dust diffusion ( Zhou et al, 2021 ). Deciduous, mixed, coniferous forests and open canopy peatlands are four dominant ecosystem types in boreal regions which are anticipated to exhibit varying responses to the offsite effects of mines on the phyllosphere microbiota due to their distinct stand structures and physicochemical characteristics.…”

Section: Introductionmentioning

confidence: 99%

Out of site, out of mind: Changes in feather moss phyllosphere microbiota in mine offsite boreal landscapes

et al. 2023

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Plant-microbe interactions play a crucial role in maintaining biodiversity and ecological services in boreal forest biomes. Mining for minerals, and especially the emission of heavy metal-enriched dust from mine sites, is a potential threat to biodiversity in offsite landscapes. Understanding the impacts of mining on surrounding phyllosphere microbiota is especially lacking. To investigate this, we characterized bacterial and fungal communities in the phyllosphere of feather moss Pleurozium schreberi (Brid). Mitt in boreal landscapes near six gold mine sites at different stages of the mine lifecycle. We found that (1) both mining stage and ecosystem type are drivers of the phyllosphere microbial community structure in mine offsite landscapes; (2) Bacterial alpha diversity is more sensitive than fungal alpha diversity to mining stage, while beta diversity of both groups is impacted; (3) mixed and deciduous forests have a higher alpha diversity and a distinct microbial community structure when compared to coniferous and open canopy ecosystems; (4) the strongest effects are detectable within 0.2 km from operating mines. These results confirmed the presence of offsite effects of mine sites on the phyllosphere microbiota in boreal forests, as well as identified mining stage and ecosystem type as drivers of these effects. Furthermore, the footprint was quantified at 0.2 km, providing a reference distance within which mining companies and policy makers should pay more attention during ecological assessment and for the development of mitigation strategies. Further studies are needed to assess how these offsite effects of mines affect the functioning of boreal ecosystems.

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Section: Introductionmentioning

confidence: 99%

Out of site, out of mind: Changes in feather moss phyllosphere microbiota in mine offsite boreal landscapes

et al. 2023

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“…Underground coal mines usually have a harsh environment, , and the humidity of some areas may exceed 95%. − Currently, Cu–Mn is the most widely used catalyst to remove CO from environments with a humidity of higher than 45%. , In order to improve the CO removal efficiency of the catalyst in the underground coal mine and reduce the adverse impact of water vapor on the removal performance of the catalyst, it is necessary to improve the water resistance of the eliminator.…”

Section: Introductionmentioning

confidence: 99%

Effect of Sn on the CO Catalytic Activity and Water Resistance of Cu–Mn Catalyst

et al. 2022

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In view of the problem that excessive CO in underground coal mine space can easily lead to a large number of casualties, Cu–Mn–Sn water-resistant eliminators with different Sn contents were prepared by a co-precipitation method. The activity of the eliminators was analyzed by using an independently developed activity testing platform, N 2 adsorption and desorption, XRD, SEM, XPS, and FTIR to characterize the activity factors and water resistance. The results showed that Cu–Mn–Sn-20 with 20% Sn content had the highest activity, which was 3.23 times that of Cu–Mn. The main reason for the increased activity is that Cu–Mn–Sn-20 doped with 20% Sn provides a larger specific surface area and more active sites and reduces the pore size, so that the crystallization degree of Cu 1.4 Mn 1.5 O 4 is lower. The doping of 20% Sn reduces the absorption of lattice water and coordination water and improves the water resistance of Cu–Mn–Sn-type eliminators. The Cu–Mn–Sn-20 water-resistant eliminator is used to quickly eliminate CO in underground coal mines, which is of great significance for the rescue workers in underground coal mines after disasters.

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“…Numerous studies have been carried out on the pollution status and diffusion law of coal dust all over the world. Currently, field measurements [12], numerical simulations [13], and hyperspectral remote sensing [14] are the main research methods used to do this.…”

Section: Introductionmentioning

confidence: 99%

Identification and monitoring of coal dust pollution in Wucaiwan mining area, Xinjiang (China) using Landsat derived enhanced coal dust index

et al. 2022

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Coal dust is the main pollutant in coal mining areas. Such pollutants easily diffuse and are difficult to monitor, which increases the cost of environmental pollution control. Remote sensing technology can be used to dynamically monitor mining areas at a low cost, and thus, this is a common means of mining area management. According to the spectral characteristics of various ground objects in remote sensing images, a variety of remote sensing indexes can be constructed to extract the required information. In this study, the Wucaiwan open-pit coal mine was selected as the study area, and the Enhanced Coal Dust Index (ECDI) was established to extract the coal dust pollution information for the mining area. A new mining area pollution monitoring method was developed, which can provide technical support for environmental treatment and mining planning in Zhundong. The results of this study revealed the following: (1) Compared with the normalized difference coal index, the ECDI can expand the difference between the spectral information about the coal dust and the surrounding features, so it has a significant recognition ability for coal dust information. (2) From 2010 to 2021, the coal dust pollution in the study area initially increased and then decreased. With the continued exploitation of the coal mines in the study area, the coal dust pollution area increased from 14.77 km2 in 2010 to 69.49 km2 in 2014. After 2014, the local government issued various environmental pollution control policies, which had remarkable results. The coal dust pollution area decreased to 36.85 km2 and 17.85 km2 in 2018 and 2021, respectively. (3) There was a great deal of pollution around mines and roads, around which the pollution was more serious. Various factors, such as wind, coal type, and the mining, processing, and transportation modes, affect the distribution of the coal dust pollution.

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Numerical simulation investigation for the pollution characteristics of dust particles in the fully mechanized mining face under different air humidity conditions

Cited by 24 publications

References 50 publications

Out of site, out of mind: Changes in feather moss phyllosphere microbiota in mine offsite boreal landscapes

Out of site, out of mind: Changes in feather moss phyllosphere microbiota in mine offsite boreal landscapes

Effect of Sn on the CO Catalytic Activity and Water Resistance of Cu–Mn Catalyst

Identification and monitoring of coal dust pollution in Wucaiwan mining area, Xinjiang (China) using Landsat derived enhanced coal dust index

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