scholarly journals Insight into the Adaptability of Dominant Plant Indigofera amblyantha Craib for Ecological Restoration of Rock Slopes in Stone Coal Mine

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Lu Peng ◽  
Qiming Mao ◽  
Lin-Ying Cao ◽  
Hailong Sun ◽  
Xiande Xie ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Coal Mine ◽  
Diversity Index ◽  
Mining Area ◽  
Substrate Material ◽  
Nutrient Elements ◽  
Effective Measure ◽  
Stone Coal ◽  
Coal Mining Area ◽  
Insight Into

The eco-restoration was a very effective measure to solve the problem of environmental pollution caused by the exposed mine surface in the stone coal mine site. In this study, the dominant plant, Indigofera amblyantha Craib, was well adapted to the eco-restoration in stone coal mining area. The changes of nutrient elements, pH, heavy metals in substrate material, the biological concentration/transfer factor, and the distribution and diversity of bacteria and fungi in rhizosphere soil were investigated. The results show that the plant communities help slow down the loss of nutrient elements and the increase of the concentrations of heavy metals in the eco-restoration process. The Indigofera amblyantha Craib had the advantaged ability to enrich and transfer Cd, Cu, Mn, and its diversity index of microbial communities in rhizosphere soils was higher than that of other quadrats. These excellent properties found in this work help reveal the insight into the adaptability of Indigofera amblyantha Craib in the eco-restoration of stone coal mines. It is valuable to evaluate Indigofera amblyantha Craib for eco-restoration engineering of stone coal mine and extend the application in heavy metal contaminated sites.

ANALISIS KONDISI SATWA LIAR DI AREAL PERTAMBANGAN BATUBARA (PT. JORONG BARUTAMA GRESTON)

2021 ◽  
Vol 4 (2) ◽  
pp. 242
Author(s):  
Edy Kurniawan ◽  
Abdi Fithria ◽  
Badaruddin
Keyword(s):  
Land Cover ◽  
Relative Frequency ◽  
Diversity Index ◽  
Mining Area ◽  
Riparian Forests ◽  
Coal Mining Area ◽  
A Value ◽  
Land Covers ◽  
Number Of Individuals ◽  
Observation Results

This study aims to inventory the types of wildlife in various land covers in the coal mining area of PT. Jorong Barutama Greston and analyzed the diversity, evenness and relative frequency of wildlife in various land covers in the mining area of PT. Jorong Barutama Greston. Animals are observed by a combination of circle and exploration methods. The observation results of wildlife found in 7 locations are 1217 individuals with 90 species from 45 families in PT. JBG. The highest diversity index values are found in riparian forests and the lowest diversity values are found in reclamation sites in 2016 from all observations of species of aves and mammals, for the highest diversity reptile category found in riparian forests and the lowest in Reclamation 2005. Evenness values are inversely proportional to diversity values, the higher the value of diversity the lower the value of evenness and vice versa the lower the value of diversity the higher the value of evenness. This is because the number of species found differs greatly from the number of individuals that are spread unevenly at each observation location. Wildlife that has the highest relative frequency value with a value of 100% is found in the type of aves, striped bird (Rhipidura javanica), sriganti honey bird (Nectarinia jugularis), coconut honey bird (Anthreptes malacensis), king sepah honey bird (Aethopyga siparaja) and for sriganti honey birds (Nectarinia jugularis), coconut honey birds (Anthreptes malacensis), king sepah honey birds (Aethopyga siparaja) and for sriganti honey birds (Nectarinia jugularis), coconut honey birds (Anthreptes malacensis) mammals are coconut squirrels (Callosciurus notatus).Keywords: Analysis; Land cover; Diversity; Relative frequency

Assessment of human health risks from heavy metals in outdoor dust samples in a coal mining area

2012 ◽  
Vol 35 (3) ◽  
pp. 347-356 ◽  
Author(s):  
Tofan Kumar Rout ◽  
R. E. Masto ◽  
L. C. Ram ◽  
Joshy George ◽  
Pratap Kumar Padhy
Keyword(s):  
Heavy Metals ◽  
Human Health ◽  
Coal Mining ◽  
Health Risks ◽  
Mining Area ◽  
Coal Mining Area ◽  
Human Health Risks ◽  
Outdoor Dust

scholarly journals Dynamic Evaluation of Water Utilization Efficiency in Large Coal Mining Area Based on Life Cycle Sustainability Assessment Theory

Geofluids ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-20
Author(s):  
Junyao Yang ◽  
Liangliang Guo
Keyword(s):  
Coal Mining ◽  
Coal Mine ◽  
Sustainability Assessment ◽  
Electricity Consumption ◽  
Mining Area ◽  
Utilization Efficiency ◽  
Life Cycle Sustainability Assessment ◽  
Water Efficiency ◽  
Water Utilization ◽  
Coal Mining Area

Coal mining enterprises have a variety of water sources, complex drainage structures, long production chain, and many links, which lead to uncoordinated water utilization and low water efficiency. Taking a large coal mining area of China as an example, a dynamic model was established to evaluate the water utilization efficiency based on the Life Cycle Sustainability Assessment (LCSA) theory. In the model, the influence of five aspects (including resources, economy, technology, society, and environment) and 19 factors was considered. The game theory method was adopted to calculate the fusion weights of the 19 factors according to the analytic hierarchy process and CRITIC method. The CW-VIKOR method was used to explain the dynamic evaluation results of water efficiency in the coal mining area. The results show that the environmental impacts of the mining system mainly come from three aspects: regional drainage, domestic sludge landfill and disposal, and water system electricity consumption. Electricity consumption in water systems has the greatest environmental impact, accounting for about 73%, regional drainage for about 26%, and domestic sludge landfill and disposal for about 1%.The CW-VIKOR approach can harmonize the interrelationships among resources, economy, technology, society, and environment. It is an effective method for LCSA of water resource in the coal mining area. The reliability of the evaluation results is high and close to the actual situation. The dynamic model established in this paper is also applicable to other coal mine areas, and only the factor weights need to be modified according to the specific characteristics of each coal mine. The model can provide guidance for optimal exploitation and allocation of coal mine water resources.

scholarly journals Effects of Heavy Metals from Soil and Dust Source on DNA Damage of the Leymus chinensis Leaves in Coal-Mining Area in Northwest China

PLoS ONE ◽  
2016 ◽  
Vol 11 (12) ◽  
pp. e0166522 ◽  
Author(s):  
Tianxin Li ◽  
Minjie Zhang ◽  
Zhongming Lu ◽  
Uwizeyimana Herman ◽  
Dzivaidzo Mumbengegwi ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Dna Damage ◽  
Coal Mining ◽  
Northwest China ◽  
Mining Area ◽  
Leymus Chinensis ◽  
Dust Source ◽  
Coal Mining Area

scholarly journals Spatial Distribution Characteristics of Heavy Metals in Surface Soil of Xilinguole Coal Mining Area Based on Semivariogram

2021 ◽  
Vol 10 (5) ◽  
pp. 290
Author(s):  
Guoqing Chen ◽  
Yong Yang ◽  
Xinyao Liu ◽  
Mingjiu Wang
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Surface Soil ◽  
Environmental Control ◽  
Random Effect ◽  
Mining Area ◽  
Scientific Basis ◽  
Coal Mining Area ◽  
Spatial Differences ◽  
Heavy Metal Pollutants

Heavy metal pollution is a major environmental problem facing humankind. Locating the source and distribution of heavy metal pollutants around mines can provide a scientific basis for environmental control. The structure effect and random effect of a semivariogram can be used to determine the reason for spatial differences in the heavy metal content in surface soil, and the coefficient of variation and regression analysis can be used to confirm that the verification accuracy meets the geostatistical requirements. According to the maximum difference method, the content of heavy metals in the surface soil of the mining area is higher than that of the surroundings, and Cu and Zn levels are higher than the background values for Inner Mongolia. In the present case, Zn,

scholarly journals Evaluation of Eco-environmental Quality of Coal Mining Area Using Multi-source Data – A Case Regarding Ibei Coalfield, Northwestern China

2021 ◽  
Author(s):  
Huan Jiang ◽  
Gangwei Fan ◽  
Dongsheng Zhang ◽  
Yibo Fan
Keyword(s):  
Spatial Autocorrelation ◽  
Environmental Protection ◽  
Coal Mining ◽  
Environmental Quality ◽  
Coal Mine ◽  
Evaluation System ◽  
Projection Pursuit ◽  
Mining Area ◽  
Coal Mining Area ◽  
The Impact

Abstract Eco-environmental evaluation is a prerequisite for balancing the relationship between coal resource recovery and eco-environmental protection. This paper divides the eco-environment system in coal mining area into 5 subsystems regarding geomorphology, climate, hydrology, land and vegetation, and human activity. Within the 5 subsystems, 13 indicators capable of reflecting eco-environment levels of coal mine fields are selected, weighed using genetic projection pursuit model, and applied to eco-environmental quality evaluation. Based on this, the spatial feature of the quality is analysed using spatial autocorrelation method, recognising the areas that need managements. Factors driving the eco-environment characteristics of coal mines are identified using geographic detector. The feasibility of the developed evaluation system is verified with Ibei Coalfield as a case. The results show that Ibei Coalfield sees a spatially heterogeneous eco-environment pattern. Geographic detector can quantify the impact of various indicators on ecological environment, and the indicator is of stronger interpretation ability as interacting with others. It is also indicated that mining area eco-environment is nonlinearly correlated to impact indicators. The spatial autocorrelation analysis suggests three areas that should be treated strategically, that are the management area, close attention area and protective area. This paper can provide scientific references for mining area eco-environmental protection, which is significant for the sustainability of coal mine projects.

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