The Results of Remote Monitoring of the Ecology of Mining Landscapes on the Territory of the Udachninsky and Mirny Mining and Processing Plants

2020 ◽  
Vol 24 (1) ◽  
pp. 40-45
Author(s):  
I.V. Zen’kov ◽  
A.S. Morin ◽  
V.N. Vokin ◽  
E.V. Kiryushina ◽  
Zh.V. Mironova ◽  
...  
Keyword(s):  
Remote Monitoring ◽  
Vegetation Cover ◽  
Mining Operations ◽  
Ecological Balance ◽  
Long Period ◽  
Processing Plants

The results of remote monitoring of the rates of restoration of vegetation cover are presented. It is concluded that for a full restoration of the ecological balance on the lands disturbed by mining operations, a long period of time will be required.

Investigation of Ecosystem Restoration at Sites of Spent Coal Deposits in the Regions of the Urals Using Remote Sensing Resources

2021 ◽  
Vol 25 (1) ◽  
pp. 32-37
Author(s):  
I.V. Zenkov ◽  
Yu.P. Yuronen ◽  
G.I. Yurkovskaya ◽  
M.V. Safronov ◽  
P.M. Kondrashov ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Remote Monitoring ◽  
Vegetation Cover ◽  
Ecosystem Restoration ◽  
Ecological State ◽  
The Urals ◽  
Natural Processes ◽  
Coal Deposits

The results of assessing the ecological state of lands disturbed during the open-cut mining of four coal deposits in the Sverdlovsk and Chelyabinsk regions are presented. In the course of the studies carried out using the results of remote monitoring, it was found that ecologically acceptable restoration of vegetation cover on the territory of disturbed lands occurs as a result of reclamation work and natural processes of its self-restoration.

scholarly journals Dust-related impacts of mining operations on rangeland vegetation and soil: a case study in Yazd province, Iran

2021 ◽  
Author(s):  
Shahab IbrahimPour ◽  
Alireza KhavaninZadeh ◽  
Ruhollah Taghizadeh mehrjardi ◽  
Hans De Boeck ◽  
Alvina Gul
Keyword(s):  
Seed Germination ◽  
Vegetation Cover ◽  
Microbial Respiration ◽  
Germination Rate ◽  
Windward Side ◽  
Leeward Side ◽  
Mining Operations ◽  
Soil Microbial ◽  
Soil Microbial Respiration ◽  
The Impact

Abstract Destructive mining operations are affecting large areas of natural ecosystems, especially in arid lands. The present study aims at investigating the impact of iron mine exploitation on vegetation and soil in Nodoushan (Yazd province, central Iran). Based on the dominant wind, topography, slope, vegetation and soil of the area, soil and vegetation parameters close to ​the mine were recorded and analyzed according to the distance from the mine. In order to obtain the vegetation cover, a transect and plot on the windward and leeward side of the mine, with 100 m intervals and three replicates at each sampling location was used, yielding 96 soil samples. The amount of dust on the vegetation, the seed weight and seed germination rate of Artemisia sp. as the dominant species within the area, and the soil microbial respiration were measured. The relationship between vegetation cover and distance from the mine was not linear, which was due to an interplay between pollution from the mine and local grazing, while other factors did increase or decrease linearly. The results showed that, as the distance from the mine increased, the weight of 1000 seeds of Artemisia sp. was significantly increased from 271 to 494 mg and seed germination rate and soil microbial respiration were significantly increased from 11.7 to 48.4 % and from 4.5 to 5.9 mg CO2 g− 1 soil day− 1 respectively, while the amount of dust significantly decreased from 43.5 to 6 mg (g plant)−1 between the distance of 100 to 600 m from the mine in the leeward direction. A similar trend was observed in the windward side, though negative effects were lower compared to the same distance along the leeward sample locations. The direct and indirect effects on plant growth and health from mining impacts generally decreased linearly with increasing distance from the mine, up to at least 600 m. Our study serves as a showcase for the potential of bio-indicators as a cost-effective method for assessing impacts of mining activities on the surrounding environment.

scholarly journals Towards an integrated soil moisture drought monitor for East Africa

2012 ◽  
Vol 9 (4) ◽  
pp. 4587-4631 ◽  
Author(s):  
W. B. Anderson ◽  
B. F. Zaitchik ◽  
C. R. Hain ◽  
M. C. Anderson ◽  
M. T. Yilmaz ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Soil Moisture ◽  
East Africa ◽  
Remote Monitoring ◽  
Vegetation Cover ◽  
Land Surface ◽  
Microwave Remote Sensing ◽  
Surface Model ◽  
Monitoring Methods ◽  
Data Scarcity

Abstract. Drought in East Africa is a recurring phenomenon with significant humanitarian impacts. Given the steep climatic gradients, topographic contrasts, general data scarcity, and, in places, political instability that characterize the region, there is a need for spatially distributed, remotely derived monitoring systems to inform national and international drought response. At the same time, the very diversity and data scarcity that necessitate remote monitoring also make it difficult to evaluate the reliability of these systems. Here we apply a suite of remote monitoring techniques to characterize the temporal and spatial evolution of the 2010–2011 Horn of Africa drought. Diverse satellite observations allow for evaluation of meteorological, agricultural, and hydrological aspects of drought, each of which is of interest to different stakeholders. Focusing on soil moisture, we apply triple collocation analysis (TCA) to three independent methods for estimating soil moisture anomalies to characterize relative error between products and to provide a basis for objective data merging. The three soil moisture methods evaluated include microwave remote sensing using the Advanced Microwave Scanning Radiometer – Earth Observing System (AMSR-E) sensor, thermal remote sensing using the Atmosphere-Land Exchange Inverse (ALEXI) surface energy balance algorithm, and physically-based land surface modeling using the Noah land surface model. It was found that the three soil moisture monitoring methods yield similar drought anomaly estimates in areas characterized by extremely low or by moderate vegetation cover, particularly during the below-average 2011 long rainy season. Systematic discrepancies were found, however, in regions of moderately low vegetation cover and high vegetation cover, especially during the failed 2010 short rains. The merged, TCA-weighted soil moisture composite product takes advantage of the relative strengths of each method, as judged by the consistency of anomaly estimates across independent methods. This approach holds potential as a remote soil moisture-based drought monitoring system that is robust across the diverse climatic and ecological zones of East Africa.

Space Technology in Assessing the Ecology of Disturbed Lands at Diamond Deposits in Russia

2020 ◽  
Vol 24 (1) ◽  
pp. 34-39
Author(s):  
I.V. Zen’kov ◽  
P.M. Kondrashov ◽  
A.S. Morin ◽  
V.N. Vokin ◽  
E.V. Kiryushina ◽  
...  
Keyword(s):  
Vegetation Cover ◽  
Satellite Images ◽  
Space Technology ◽  
Open Method ◽  
Ecological Balance ◽  
Diamond Mining ◽  
Continental Climate

The results of processing satellite images of mining landscapes formed during the extraction and processing of diamond-containing ore are presented, the coefficients of self-restoration of vegetation cover are determined. It has been established that in the conditions of a sharply continental climate, transitioning to a subpolar one, at intensive rates of developing diamond deposits by an open method, all types of vegetation cover are slowly forming, which does not meet the requirements for restoring the ecological balance when conducting business with diamond mining enterprises.

scholarly journals Efficiency Analysis of Lignite Mining Operations Using Production Stochastic Frontier Modeling

Mining ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 100-111
Author(s):  
Ioannis E. Tsolas
Keyword(s):  
Environmental Performance ◽  
Stochastic Frontier ◽  
Data Envelopment ◽  
Significant Determinant ◽  
Mining Operations ◽  
Public Power ◽  
Lignite Mining ◽  
Long Period ◽  
Lignite Mine

This paper proposes a stochastic frontier model for measuring both technical and environmental performance at the mine level by using a translog production function. The Kardia Field opencast lignite mine of the Greek Public Power Corporation (PPC), S.A. is the topic of the case study. Efficiency ratings are derived over a long period of time using annual operating data, and in addition, the determinants of inefficiency are established by means of the technical inefficiency effects model. In the light of the results, there is a strong correlation between technical and environmental efficiency; the results are validated by those produced by data envelopment analysis (DEA). In addition, the stripping ratio is identified as the statistically significant determinant of performance. The proposed framework could be used as an instrument to measure the efficiency of lignite mining operations and to identify the drivers of performance.

A Study of the Formation of a Plant Ecosystem in Areas of Disturbed Lands by the Aikhal Mining and Processing Plant

2020 ◽  
Vol 24 (1) ◽  
pp. 46-50
Author(s):  
I.V. Zen’kov ◽  
V.N. Vokin ◽  
E.V. Kiryushina ◽  
A.S. Morin ◽  
Zh.V. Mironova ◽  
...  
Keyword(s):  
Vegetation Cover ◽  
Satellite Images ◽  
Open Pit ◽  
Processing Plant ◽  
Ecological Balance ◽  
Business Operations ◽  
Diamond Mining

According to the results of processing satellite images of mining landscapes formed during the extraction and processing of diamond-containing ore, the coefficients of self-restoration of vegetation cover are determined. It has been established that in the mid-mountain and subpolar climate, at intensive rates of open-pit diamond mining, a very slow formation of all types of vegetation cover occurs, which does not meet the requirements of restoring the ecological balance when conducting business operations by diamond mining enterprises.

scholarly journals Study on the Removal of Thiosulfate from Wastewater by Catalytic Oxidation

2019 ◽  
Vol 9 (2) ◽  
pp. 4053-4056
Author(s):  
A. Z. Al-Khazaal ◽  
F. Ahmad ◽  
N. Ahmad
Keyword(s):  
Catalytic Oxidation ◽  
Food Processing ◽  
Oxygen Demand ◽  
Chemical Plants ◽  
Mining Operations ◽  
Industrial Plants ◽  
Processing Plants ◽  
Uv Visible ◽  
Petroleum Refineries ◽  
Thiosulfate Concentration

Wastewater streaming from industrial plants, including petroleum refineries, chemical plants, pulp and paper plants, mining operations, electroplating operations, and food processing plants, can contain offensive substances such as cyanide, sulfides, sulfites, thiosulfates, mercaptans and disulfides that tend to increase the chemical oxygen demand (COD) of the streams. In the present work, removal of thiosulfate from wastewater by catalytic oxidation using aluminum oxide as a catalyst was studied. Four main factors were considered, namely the initial thiosulfate concentration, the hydrogen peroxide concentrations, the amount of the catalyst and the operating temperatures. The analysis of thiosulfate and sulfate was carried out by using UV Visible Spectrophotometer. An empirical rate equation was developed.

scholarly journals Online ore monitoring using EDXRF method on process conveyor belts at Kazakhmys Corporation LLC operations

2020 ◽  
Vol 166 ◽  
pp. 02010
Author(s):  
Tetiana Oliinyk ◽  
Sergey Yefimenko ◽  
Zaure Abdrakhmanova ◽  
Andrey Kan ◽  
Farida Issatayeva
Keyword(s):  
Industrial Application ◽  
Online Monitoring ◽  
Mining Operations ◽  
Treatment Target ◽  
Bench Scale ◽  
Online Mode ◽  
Processing Plants ◽  
Conveyor Belts ◽  
Copper Zinc ◽  
Key Features

The paper discusses organizing online ore monitoring on process conveyor belts at the operations of Kazakhmys Corporation LLC using EDXRF method implemented as an ore-controlling station (OCS) targeting ore size of -300 mm. OCS is supposed to achieve the objective of providing reliable silver detection measurements in the range of 1+ ppm. Objects of monitoring: copper-containing polymetallic ores delivered to Zhezkazgan, Balkhash and Karagaily processing plants for treatment (target elements include copper, zinc, lead, silver, cadmium, and iron) as well as ores transported by the main underground feeder belt at Nurkazgan Mine (copper, zinc, lead, silver, molybdenum, and iron). The ultimate of the studies was to produce an online report on quality and quantities of ore and metals delivered from each of ore suppliers; to adjust the tonnages dispatched by the various shafts and open pits in the online mode; obtain reliable proof for unbiased redistribution of metals back to the mining operations. Equipment used during the studies: EDXRF OCS RLP21T. Key features of the unit are also discussed. The results of bench-scale testing as well as industrial application of OCS RLP-21T are discussed leading to the conclusion of successful online monitoring of silver in ores sized from +1 ppm to -300 mm. The photographs were provided by S. A. Yefimenko.

Results of Remote Monitoring of Ecology of Disturbed Lands by Iron Ore Quarries of Irkutsk Oblast

2018 ◽  
Vol 22 (9) ◽  
pp. 46-51
Author(s):  
I.V. Zen’kov ◽  
E.A. Izhmulkina ◽  
V.A. Androkhanov ◽  
V.N. Vokin ◽  
Yu.A. Anischenko ◽  
...  
Keyword(s):  
Remote Monitoring ◽  
Vegetation Cover ◽  
Iron Ore ◽  
Satellite Images ◽  
Irkutsk Oblast ◽  
Self Healing ◽  
Industrial Landscapes

Based on the results of processing satellite images with the delineation of boundaries and grades of mining industrial landscapes, environmentally acceptable selfhealing factors for vegetation cover at the level of 0.791 are established in the territory of railway dumps. The lower values of such coefficients in the range 0.049–0.48 are characterized by self-healing of the vegetation cover on the surface of automobile dumps.

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