scholarly journals Feasibility Study on the Application of Microbial Agent Modified Water-Jet Loom Sludge for the Restoration of Degraded Soil in Mining Areas

2021 ◽  
Vol 18 (13) ◽  
pp. 6797
Author(s):  
Chuning Ji ◽  
Jiu Huang ◽  
Yu Tian ◽  
Ying Liu ◽  
Joshua Bosco Barvor ◽  
...  
Keyword(s):  
Plant Biomass ◽  
Microbial Biomass Carbon ◽  
Aggregate Stability ◽  
Nutrient Content ◽  
Water Jet ◽  
Open Pit ◽  
Open Pit Mining ◽  
Degraded Soil ◽  
Mining Areas ◽  
Microbial Agent

Open-pit mining causes soil damage and affects the health of the ecosystem. In the arid grassland mining areas, the soil is severely sanded, water-starved, and saline, thus making it difficult for plants and microorganisms to survive. Water-jet loom sludge can be used to improve the quality as it contains a lot of clay and is rich in organic matter, which provides a material basis for microorganism activity. To explore the effects of microbial agent-modified water-jet loom sludge on the restoration of degraded soil in grassland mining areas, four pot trials were set up, i.e., for untreated soil, the application of a microbial agent alone, the application of water-jet loom sludge alone, and the combined application of water-jet loom sludge and the microbial agent. The results show that (1) microbial agent-modified sludge can improve soil water-holding capacity and aggregate stability; (2) the nutrient content of the restored soil fraction increased significantly, and the pH of the original saline soil decreased from 9.06 to 7.84; (3) this method significantly increased plant biomass and microbial biomass carbon and enhanced the abundance and diversity of fungi and bacteria. The three treatments had different results in different soil properties, and the effect of the combined water-jet loom sludge and microbial agent treatment on soil remediation was significantly better than the individual application of either.

scholarly journals Dust Dispersion and Its Effect on Vegetation Spectra at Canopy and Pixel Scales in an Open-Pit Mining Area

2020 ◽  
Vol 12 (22) ◽  
pp. 3759
Author(s):  
Baodong Ma ◽  
Xuexin Li ◽  
Ziwei Jiang ◽  
Ruiliang Pu ◽  
Aiman Liang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Mining Area ◽  
Open Pit ◽  
Open Pit Mining ◽  
Vegetation Canopy ◽  
Dust Pollution ◽  
Mining Areas ◽  
Dust Effect ◽  
Dust Dispersion ◽  
Pixel Scale

Dust pollution is severe in some mining areas in China due to rapid industrial development. Dust deposited on the vegetation canopy may change its spectra. However, a relationship between canopy spectra and dust amount has not been quantitatively studied, and a pixel-scale condition for remote sensing application has not been considered yet. In this study, the dust dispersion characteristics in an iron mining area were investigated using the American Meteorological Society (AMS) and the U.S. Environmental Protection Agency (EPA) regulatory model (AERMOD). Further, based on the three-dimensional discrete anisotropic radiative transfer (DART) model, the spectral characteristics of vegetation canopy under the dusty condition were simulated, and the influence of dustfall on vegetation canopy spectra was studied. Finally, the dust effect on vegetation spectra at the canopy scale was extended to a pixel scale, and the response of dust effect on vegetation spectra at the pixel scale was determined under different fractional vegetation covers (FVCs). The experimental results show that the dust pollution along a haul road was more severe and extensive than that in a stope. Taking dust dispersion along the road as an example, the variation of vegetation canopy spectra increased with the height of dust deposited on the vegetation canopy. At the pixel scale, a lower vegetation FVC would weaken the influence of dust on the spectra. The results derived from simulation spectral data were tested using satellite remote sensing images. The tested result indicates that the influence of dust retention on the pixel spectra with different FVCs was consistent with that created with the simulated data. The finding could be beneficial for those making decisions on monitoring vegetation under dusty conditions and reducing dust pollution in mining areas using remote sensing technology.

Standardized emissions inventory methodology for open-pit mining areas

2012 ◽  
Vol 19 (7) ◽  
pp. 2784-2794 ◽  
Author(s):  
Jose I. Huertas ◽  
Dumar A. Camacho ◽  
Maria E. Huertas
Keyword(s):  
Open Pit ◽  
Open Pit Mining ◽  
Emissions Inventory ◽  
Mining Areas

scholarly journals Progress in the Reconstruction of Terrain Relief Before Extraction of Rock Materials—The Case of Liban Quarry, Poland

2020 ◽  
Vol 12 (10) ◽  
pp. 1548 ◽  
Author(s):  
Roksana Zarychta ◽  
Adrian Zarychta ◽  
Katarzyna Bzdęga
Keyword(s):  
Open Pit ◽  
Open Pit Mining ◽  
Topographic Map ◽  
Estimation Errors ◽  
Mining Areas ◽  
Contour Lines ◽  
Digital Elevation ◽  
The Difference ◽  
Elevation Model ◽  
Topographical Relief

Open pit mining leads to irreversible changes in topographical relief, which makes a return to the original morphology virtually impossible. This is important for quarries that were part of former mining areas. This research presents an innovative approach to the reconstruction of the relief of anthropogenically transformed land on the example of Liban Quarry in Cracow, where operations began before 1873 to 1986. The basis for the reconstructed area was a Topographic Map of Poland with a scale 1:10,000 from 1997, from which a set of data was obtained to perform spatial analyses. The estimation was conducted using the ordinary kriging method, enabling a reconstruction of the morphology of the studied area and presenting it in the form of a hypsometric map and a digital elevation model. The correctness of the modelling was verified by cross-validation and a kriging standard deviation map (SDOK). These revealed low values of estimation errors in the places without contour lines on the base map. The comparison of the obtained maps and model with a Tactical Map of Poland with a scale 1:100,000 from 1934 indicated great similarities. The highest interpolation error value was recorded in the part of the pit where the difference between the actual and reconstructed elevation was about 30 m on average. In the exploited part, the SDOK did not exceed 0.52 m, and in the entire studied area, it reached a maximum of 0.56 m. The proposed approach fulfilled the assumptions of reconstruction, as the analysis revealed elements matching the historic relief in both forms of presentation of the topography of the quarry, on the obtained hypsometric map and on the tactical map. Our study is among the very few in the world concerning the application of geostatistics in the restoration of the relief of land transformed by open pit mining activities.

Mapping ground movements in open pit mining areas using differential SAR interferometry

2010 ◽  
Vol 47 (7) ◽  
pp. 1114-1125 ◽  
Author(s):  
G. Herrera ◽  
R. Tomás ◽  
F. Vicente ◽  
J.M. Lopez-Sanchez ◽  
J.J. Mallorquí ◽  
...  
Keyword(s):  
Sar Interferometry ◽  
Open Pit ◽  
Open Pit Mining ◽  
Ground Movements ◽  
Mining Areas ◽  
Differential Sar Interferometry

scholarly journals Features of new sites designing on quarry fields of the existing open pit mines of Kuzbass

2020 ◽  
Vol 174 ◽  
pp. 01003
Author(s):  
Eugene Plotnikov ◽  
Valery Kolesnikov ◽  
Zuzana Šimková ◽  
Nuray Demirel
Keyword(s):  
Mining Area ◽  
Production Costs ◽  
Underground Mines ◽  
Open Pit ◽  
Open Pit Mining ◽  
Residential Areas ◽  
Mining Operations ◽  
Surface Mine ◽  
Open Pit Mines ◽  
Mining Areas

At a number of large open pit mines in Kuzbass, coal production costs have increased due to the deepening of mining operations. In order to reduce them, separate sections of coal mining at the upper horizons are operating or are being designed for mining at low current stripping ratio. For the same purpose, open-pit mining areas at the fields of existing quarries are operated and designed. Examples of such existing and projected areas are: the “Complex Synclinal” area at the Krasnobrodsky surface mine; the “Prirezka” area at the Chernigovsky surface mine; a number open-pit areas at the underground mines; etc. The main factors complicating the involvement in the development of new sites are: the presence of residential areas, industrial buildings and structures near the boundaries of the mining area; power supply lines, transport communications, which limits or excludes the production of mass explosions in the preparation of overburden for excavation; limited size or lack of areas for external dumps at a short distance from the site (in some cases, it is possible to close the mined-out space of the worked-out quarry field). When designing the development of areas characterized by such conditions, it is necessary to consider the application of new technical and technological solutions.

scholarly journals A Multi-Level Output-Based DBN Model for Fine Classification of Complex Geo-Environments Area Using Ziyuan-3 TMS Imagery

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2089
Author(s):  
Meng Li ◽  
Zhuang Tang ◽  
Wei Tong ◽  
Xianju Li ◽  
Weitao Chen ◽  
...  
Keyword(s):  
Land Cover ◽  
Mining Area ◽  
Open Pit ◽  
Open Pit Mining ◽  
Fine Scale ◽  
Land Cover Types ◽  
Mining Areas ◽  
Sample Data ◽  
Multi Level ◽  
Fine Classification

Fine-scale land use and land cover (LULC) data in a mining area are helpful for the smart supervision of mining activities. However, the complex landscape of open-pit mining areas severely restricts the classification accuracy. Although deep learning (DL) algorithms have the ability to extract informative features, they require large amounts of sample data. As a result, the design of more interpretable DL models with lower sample demand is highly important. In this study, a novel multi-level output-based deep belief network (DBN-ML) model was developed based on Ziyuan-3 imagery, which was applied for fine classification in an open-pit mine area of Wuhan City. First, the last DBN layer was used to output fine-scale land cover types. Then, one of the front DBN layers outputted the first-level land cover types. The coarse classification was easier and fewer DBN layers were sufficient. Finally, these two losses were weighted to optimize the DBN-ML model. As the first-level class provided a larger amount of additional sample data with no extra cost, the multi-level output strategy enhanced the robustness of the DBN-ML model. The proposed model produces an overall accuracy of 95.10% and an F1-score of 95.07%, outperforming some other models.

scholarly journals INSAR COLLABORATIVE MONITORING MODE AND MULTI-MODE COMPUTING SERVICES FOR GEOHAZARDS IDENTIFICATION IN OPEN-PIT MINING AREA

2021 ◽  
Vol XLIII-B1-2021 ◽  
pp. 241-247
Author(s):  
J. Zhang
Keyword(s):  
Time Series ◽  
Surface Deformation ◽  
Underground Mining ◽  
Mining Area ◽  
Deformation Monitoring ◽  
High Density ◽  
Open Pit ◽  
Open Pit Mining ◽  
Mining Areas ◽  
Wide Range

Abstract. InSAR has developed a variety of methods, such as D-InSAR, PS-InSAR, MBAS, CT, SqueeSAR, POT, etc., which have been widely used in land subsidence monitoring. For open pit mining areas, there are usually mining activity, complex terrain features, low coherence, and local large deformation gradients, which makes it difficult for time series InSAR technology to obtain high-density surface deformation information in open pit mining areas. Traditional methods usually only monitor the linear deformation of the surface caused by the mining of a few working zone above the underground mining area, and the temporal and spatial resolution is lower. How to obtain high-precision, high-density, and time-sensitive deformation information is the main difficulty of InSAR monitoring in open pit mining areas. Make full use of the geosensor network monitoring system, optimize monitoring mode of collaborated satellite-to-ground based InSAR, further realize whole calculation and geographic information services, to achieve early identification and discovery of abnormal in large-area macro-monitoring, and accurate monitoring of local areas in real-time early warning, which is the development direction of ground deformation monitoring of mining areas. The study area is Pingshuo open pit mining area. we fully study the application mode and services of InSAR monitoring for geohazards in open-pit mining area, through the establishment of satellite InSAR technology system for large-scale macro-monitoring and forecasting, and GBSAR and GSN for local precision monitoring. The effective mode of InSAR monitoring of geohazard in open-pit mines is summarized. A combination of D-InSAR, POT (Pixel offset tracking), Time Series-InSAR and GB-SAR is used in a wide range, and high-resolution optical images are used to identify localized changes in subsidence areas and open-pit mining areas.

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