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Christos Roumpos, PhD, is an MSc Mining Engineer with MSc diploma on Energy and Environmental Management and PhD on mine planning and mining economics. Since 1991 he has been working mainly in the fields of mining engineering and mineral and energy economics. For a period of about 20 years, he has taught surface mining, mine planning and design, project management, mineral economics, and mine investment analysis at National Technical University of Athens and Technical University of Crete. He is the author or co-author of more than 100 papers in scientific journals and international conferences.
Coal mines produce large amounts of excavated waste soils, known as spoils. These materials can cover vast areas, are typically dumped in heaps without any treatment, and are difficult to exploit for engineering purposes because of their significant variability. Efficient exploitation of spoil heaps poses engineering challenges, related mainly to the involved degree of uncertainty. A small number of studies have attempted to characterize the geotechnical properties of spoil material; however, there remains a considerable gap in understanding how to deal with spoil materials in the context of sustainable development and civil infrastructure design. In this work, a systematic effort is made to quantify the uncertainty of the geotechnical properties of a particular spoil heap. Laboratory test results based on an extended investigation of a spoil material originating from lignite coal mines are gathered in one database and thoroughly analyzed. The results reveal and quantify the significant spoil material variability, which is contrasted against data for common soils, while a systematic approach is proposed for spoil material characterization.
Ioannis E. Zevgolis; Alexandros I. Theocharis; Alexandros V. Deliveris; Nikolaos C. Koukouzas; Christos Roumpos; Alec M. Marshall. Geotechnical Characterization of Fine-Grained Spoil Material from Surface Coal Mines. Journal of Geotechnical and Geoenvironmental Engineering 2021, 147, 04021050 .
AMA StyleIoannis E. Zevgolis, Alexandros I. Theocharis, Alexandros V. Deliveris, Nikolaos C. Koukouzas, Christos Roumpos, Alec M. Marshall. Geotechnical Characterization of Fine-Grained Spoil Material from Surface Coal Mines. Journal of Geotechnical and Geoenvironmental Engineering. 2021; 147 (7):04021050.
Chicago/Turabian StyleIoannis E. Zevgolis; Alexandros I. Theocharis; Alexandros V. Deliveris; Nikolaos C. Koukouzas; Christos Roumpos; Alec M. Marshall. 2021. "Geotechnical Characterization of Fine-Grained Spoil Material from Surface Coal Mines." Journal of Geotechnical and Geoenvironmental Engineering 147, no. 7: 04021050.
Surface mining projects are vulnerable to natural hazards (earthquakes, floods, soil instabilities, and epidemic crises) which constitute the primary source of risks which affect the mining operations. In the framework of sustainable planning and development of such projects, the investigation of risk impacts is essential for taking the appropriate preventive measures before disastrous events appear in a mine. This paper proposes a methodology for the risk assessment of natural hazards in surface mining projects using the triangular Fuzzy Analytical Hierarchy Process (FAHP) for the determination of the probability of risk occurrence, combined with the Expected Value (EV) function, the Monte Carlo simulation, and the Program Evaluation Review Technique PERT method for making predictions of cost and time overruns. A case study of a hazardous event with impacts in the operations of a surface mine demonstrates the methodology as a flexible and low-cost tool for mining executives. This tool is useful in the planning stage of pre-disaster management projects in the mineral industry, considering mine sustainability views. The research work also investigates critical technical and economic aspects.
Philip-Mark Spanidis; Christos Roumpos; Francis Pavloudakis. A Fuzzy-AHP Methodology for Planning the Risk Management of Natural Hazards in Surface Mining Projects. Sustainability 2021, 13, 2369 .
AMA StylePhilip-Mark Spanidis, Christos Roumpos, Francis Pavloudakis. A Fuzzy-AHP Methodology for Planning the Risk Management of Natural Hazards in Surface Mining Projects. Sustainability. 2021; 13 (4):2369.
Chicago/Turabian StylePhilip-Mark Spanidis; Christos Roumpos; Francis Pavloudakis. 2021. "A Fuzzy-AHP Methodology for Planning the Risk Management of Natural Hazards in Surface Mining Projects." Sustainability 13, no. 4: 2369.
The estimation of fuel characteristics and spatial variability in multi-seam coal deposits is of great significance for the optimal mine planning and exploitation, as well as for the optimization of the corresponding power plants operation. It is mainly based on the quality properties of the coal (i.e., Lower Calorific Value (LCV), ash content, CO2, and moisture). Even though critical, these properties are not always measured in practice for all available borehole samples, or, they are generally estimated by using non-parametric statistics. Therefore, spatial modeling of LCV can become problematic due to the limited number of data. Thus, the use of other available correlated attributes might be helpful. In this research, techniques of multivariate geostatistics were used to estimate and evaluate the spatial distribution of quality properties in a multi-seam coal deposit, with special reference to the LCV. More specifically, kriging, cokriging, and Principal Component Analysis (PCA) techniques were tested in a case study as estimators of the LCV, using an extensive set of borehole data from the South Field lignite mine in Ptolemais, Greece. The research outcomes show that the application of kriging with two PCA factors and the use of inverse transform result in the best LCV estimates. Moreover, cokriging with two auxiliary variables gives more accurate values for a LCV estimate, in relation to the kriging technique. The research outcomes could be considered significant for the coal mining industry, since the use of correlated quality attributes for the estimation of LCV may contribute to a reduction of the estimation uncertainty at no additional drilling cost.
Daphne Sideri; Christos Roumpos; Francis Pavloudakis; Nikolaos Paraskevis; Konstantinos Modis. Multivariate Geostatistical Modeling of Lower Calorific Value in Multi-Seam Coal Deposits. Applied Sciences 2020, 10, 6208 .
AMA StyleDaphne Sideri, Christos Roumpos, Francis Pavloudakis, Nikolaos Paraskevis, Konstantinos Modis. Multivariate Geostatistical Modeling of Lower Calorific Value in Multi-Seam Coal Deposits. Applied Sciences. 2020; 10 (18):6208.
Chicago/Turabian StyleDaphne Sideri; Christos Roumpos; Francis Pavloudakis; Nikolaos Paraskevis; Konstantinos Modis. 2020. "Multivariate Geostatistical Modeling of Lower Calorific Value in Multi-Seam Coal Deposits." Applied Sciences 10, no. 18: 6208.
Surface lignite mines of the Balkan Peninsula face growing pressure due to the CO2 emissions reduction initiatives, rapidly increasing renewable-power capacity, and cheap natural gas. In this frame, the development of a modern mine land rehabilitation strategy is considered as a prerequisite for mitigating the social and economic impacts for the local communities. In the case of western Macedonia lignite mines, these prospects are investigated based on a PEST (political, economic, social, technological) analysis of seven alternative land uses. Urban (industrial) development, green houses, and industrial heritage parks are considered as the most appropriate land uses for mitigating the socioeconomic impacts due to the loss of employments. For the land uses occupying large areas (i.e., agriculture, forestry, livestock farming, and photovoltaic parks), an optimisation algorithm is proposed for determining the mix of land uses that maximise revenue, equity, and natural conservation and minimise investment. The algorithm was applied using the opinions of 10 experts, who were involved in mine land reclamation projects carried out in the western Macedonia region in the recent past. According to the results obtained, photovoltaic parks are rated as a more attractive investment than extensive agriculture, as regards the anticipation of revenues, while livestock farming and forests are necessary to safeguard the ecosystem’s functions.
Francis Pavloudakis; Christos Roumpos; Evangelos Karlopoulos; Nikolaos Koukouzas. Sustainable Rehabilitation of Surface Coal Mining Areas: The Case of Greek Lignite Mines. Energies 2020, 13, 3995 .
AMA StyleFrancis Pavloudakis, Christos Roumpos, Evangelos Karlopoulos, Nikolaos Koukouzas. Sustainable Rehabilitation of Surface Coal Mining Areas: The Case of Greek Lignite Mines. Energies. 2020; 13 (15):3995.
Chicago/Turabian StyleFrancis Pavloudakis; Christos Roumpos; Evangelos Karlopoulos; Nikolaos Koukouzas. 2020. "Sustainable Rehabilitation of Surface Coal Mining Areas: The Case of Greek Lignite Mines." Energies 13, no. 15: 3995.
The restoration of continuous surface lignite mines entering the closure phase is a long-term, complex and multidisciplinary project. During the evaluation of alternative restoration technologies, various environmental, technical, economic and social parameters are investigated. In this framework, for the selection of the lower risk restoration alternative, the analysis of the associated risks should be incorporated into the decision-making process. This work provides an overview of practical risk management problems and solutions in mining restoration projects. Moreover, it introduces a multi-criteria methodology for the improvement of the decision-making process in the evaluation of restoration alternatives and the selection of the optimal one, considering a continuous surface mining project. The proposed method is a combination of the analytical hierarchy process (AHP) for the quantification of risk factors and the technique for order of preference by similarity to ideal solution (TOPSIS) for the ranking of restoration alternatives based on a low risk approach. The results of the case study indicate that the proposed approach can be utilized as a low cost and easy-to-apply tool, appropriate for coal mining operators, managers and stakeholders involved in the planning and implementation of post-mining land restoration activities. Furthermore, the suggested methodology could be adopted to support the risk management needs in the restoration stage of complex surface mining projects.
Philip-Mark Spanidis; Christos Roumpos; Francis Pavloudakis. A Multi-Criteria Approach for the Evaluation of Low Risk Restoration Projects in Continuous Surface Lignite Mines. Energies 2020, 13, 2179 .
AMA StylePhilip-Mark Spanidis, Christos Roumpos, Francis Pavloudakis. A Multi-Criteria Approach for the Evaluation of Low Risk Restoration Projects in Continuous Surface Lignite Mines. Energies. 2020; 13 (9):2179.
Chicago/Turabian StylePhilip-Mark Spanidis; Christos Roumpos; Francis Pavloudakis. 2020. "A Multi-Criteria Approach for the Evaluation of Low Risk Restoration Projects in Continuous Surface Lignite Mines." Energies 13, no. 9: 2179.
The paper investigates the stability of deep continuous surface lignite mining slopes. As excavation slopes are made relatively steep for exploitation purposes, the risk of slope instabilities is often appreciable, while the adverse consequences of a major failure are usually severe. Despite these, the design of lignite mining slopes against instability is often empirical, because the mechanisms causing such instabilities are poorly understood. Experience shows that slope instabilities are usually governed by sliding along a sub-horizontal, unfavourably sloping interface between a coal seam and an underlying stiff, high plasticity clay or marl layer, very close to the bottom of the slope. The typical mechanism of such instabilities is triggered by the sharp contrast in stiffness between adjacent lignite and clay/marl layers causing different elastic rebound upon removal of the horizontal confinement during excavation. The paper examines the effect of specific parameters on slope stability by a set of parametric analyses. It is shown that the most important parameter is the inclination of the sub-horizontal lignite–clay interface at the base of the slope. The paper also reviews several slopes in lignite mines which remained stable despite movements with relatively constant velocities reaching up to 100 mm/day, while others have failed when velocities accelerated abruptly although much smaller. These cases show that the absolute magnitude of slope velocity is not always relevant in predicting slope instability, while slope acceleration is a better indicator.
Michael Kavvadas; Christos Roumpos; Paul Schilizzi. Stability of Deep Excavation Slopes in Continuous Surface Lignite Mining Systems. Geotechnical and Geological Engineering 2019, 38, 791 -812.
AMA StyleMichael Kavvadas, Christos Roumpos, Paul Schilizzi. Stability of Deep Excavation Slopes in Continuous Surface Lignite Mining Systems. Geotechnical and Geological Engineering. 2019; 38 (1):791-812.
Chicago/Turabian StyleMichael Kavvadas; Christos Roumpos; Paul Schilizzi. 2019. "Stability of Deep Excavation Slopes in Continuous Surface Lignite Mining Systems." Geotechnical and Geological Engineering 38, no. 1: 791-812.
Spatial modeling and evaluation is a critical step for planning the exploitation of mineral deposits. In this work, a methodology for the investigation of a multi-seam coal deposit spatial variability is proposed. The study area includes the Klidi (Florina, Greece) multi-seam lignite deposit which is suitable for surface mining. The analysis is based on the original data of 76 exploratory drill-holes in an area of 10 km2, in conjunction with the geological and geomorphological data of the deposit. The analytical methods include drill-hole data analysis and evaluation based on an appropriate algorithm, principal component analysis and geographic information techniques. The results proved to be very satisfactory for the explanation of the maximum variance of the initial data values as well as the identification of the deposit structure and the optimum planning of mine development. The proposed analysis can be also helpful for minimizing cost and optimizing efficiency of surface mining operations. Furthermore, the provided methods could be applied in other areas of geosciences, indicating the theoretical value as well as the important practical implications of the analysis.
Georgios Louloudis; Christos Roumpos; Konstantinos Theofilogiannakos; Nikolaos Stathopoulos. Multi-Seam Coal Deposit Modeling via Principal Component Analysis & GIS. Minerals 2019, 9, 532 .
AMA StyleGeorgios Louloudis, Christos Roumpos, Konstantinos Theofilogiannakos, Nikolaos Stathopoulos. Multi-Seam Coal Deposit Modeling via Principal Component Analysis & GIS. Minerals. 2019; 9 (9):532.
Chicago/Turabian StyleGeorgios Louloudis; Christos Roumpos; Konstantinos Theofilogiannakos; Nikolaos Stathopoulos. 2019. "Multi-Seam Coal Deposit Modeling via Principal Component Analysis & GIS." Minerals 9, no. 9: 532.
Nowadays, the evaluation of coal deposits becomes crucial, due to many uncontrollable factors, which affect the energy sector. A comparative evaluation of coal deposits is essential for their hierarchical classification regarding their sustainable exploitation, when compared to other coal deposits or competitive fuels, which may be used as alternative solutions for electricity generation. In this paper, a method for spatial analysis and evaluation of a lignite deposit is proposed, by creating four spatial key indicators via GIS analysis, which are then aggregated by applying a weighted linear combination. The analytical hierarchy process is applied to estimate the relative weights of the indicators, in order to perform a weighted cartographic overlay. Through the synthesis of the indicators, an overall, total spatial quality indicator is calculated. The weighted analysis was shown to be more effective compared to the unweighted one, because it can provide more reliable results regarding the exploitation of the examined lignite deposit. The implementation of GIS-based analytical hierarchy process in spatial analysis and evaluation of lignite deposits, in terms of sustainable exploitation, demonstrates that this method can be extensively applied for evaluating the economic potential of mineral deposits.
Nikolaos Paraskevis; Christos Roumpos; Nikolaos Stathopoulos; Aikaterini Adam. Spatial analysis and evaluation of a coal deposit by coupling AHP & GIS techniques. International Journal of Mining Science and Technology 2019, 29, 943 -953.
AMA StyleNikolaos Paraskevis, Christos Roumpos, Nikolaos Stathopoulos, Aikaterini Adam. Spatial analysis and evaluation of a coal deposit by coupling AHP & GIS techniques. International Journal of Mining Science and Technology. 2019; 29 (6):943-953.
Chicago/Turabian StyleNikolaos Paraskevis; Christos Roumpos; Nikolaos Stathopoulos; Aikaterini Adam. 2019. "Spatial analysis and evaluation of a coal deposit by coupling AHP & GIS techniques." International Journal of Mining Science and Technology 29, no. 6: 943-953.
Several parameters, e.g., characteristics of the excavated material, number and thickness of lignite layers, bucket wheel capacity, experience of personnel, etc., affect the efficiency of bucket wheel excavators (BWEs). In this paper, the fuzzy cognitive map (FCM) approach is used to explore the factors affecting the efficiency of BWEs as well as their interlinkages and interdependencies, based on an extensive review of scientific literature and expert intervention. The main goal is to provide a transparent and flexible model and propose a different simulation approach for complex mining systems that can interconnect the factors influencing system's behaviour. The implementation of the proposed model revealed significant differences in BWEs' efficiency under favourable and hostile conditions. This is a first step towards simulations intended to help mining practitioners, bridging the gap between 'pure' qualitative and quantitative approaches.
Maria Menegaki; Theodoros Michalakopoulos; Christos Roumpos. Exploring the effect of physical, human and technical factors on bucket wheel excavators' efficiency: a fuzzy cognitive map approach. International Journal of Mining and Mineral Engineering 2019, 10, 189 .
AMA StyleMaria Menegaki, Theodoros Michalakopoulos, Christos Roumpos. Exploring the effect of physical, human and technical factors on bucket wheel excavators' efficiency: a fuzzy cognitive map approach. International Journal of Mining and Mineral Engineering. 2019; 10 (2/3/4):189.
Chicago/Turabian StyleMaria Menegaki; Theodoros Michalakopoulos; Christos Roumpos. 2019. "Exploring the effect of physical, human and technical factors on bucket wheel excavators' efficiency: a fuzzy cognitive map approach." International Journal of Mining and Mineral Engineering 10, no. 2/3/4: 189.
The aim of this paper is to demonstrate the application of multicriteria analysis to the optimal choice of a lignite field for (i) mine development and (ii) the corresponding power plant construction. These two activities are considered within the same project and cannot be separated. The alternatives used are the following six sites of lignite deposits, with their possible maximum power plant capacity quoted in parenthesis, considered as projects: Elassona (1 × 500 MW or 2 × 250 MW), Komnina (1 × 300 MW), Ioannina (1 × 125MW), Filippi – Drama (4 × 300 MW), Karitena (1 × 125 MW), Servia (1 × 300 MW). The criteria used cover a variety of aspects concerning that kind of projects. Two of the PROMETHEE methods were adopted to satisfy the needs of this study. The application of PROMETHEE II gave the following absolute ordering, in terms of diminishing preference: Elassona, Drama, Komnina, Karitena, Servia, and Ioannina. This order is very near to another one, which was obtained by a simpler method. The application of an algorithmic procedure in accordance with the more refined techniques of PROMETHEE I revealed a more complicated partial order where incomparabilities between lignite fields also coexist. Nevertheless, all methods used confirm the order of the first two fields, which form a stable solution for the problem of choosing the most proper lignite fields for mine development. This chapter aims to demonstrate the application of multicriteria analysis to the optimal choice of a lignite field for mine development and the corresponding power plant construction. Multicriteria analysis of six Greek lignite fields, candidates for mine development and power plant construction, revealed the following order in terms of diminishing preference: Elassona, Drama, Komnina, Karitena, Servia, and Ioannina. The application of an algorithmic procedure in accordance with the more refined techniques of PROMETHEE 1 revealed a more complicated partial order where incomparabilities between lignite fields also coexist. Multicriteria choice has proved to be an important method for decision making both by considering the wide variety of aspects inherent in any decision problem and by offering an operational framework for an interdisciplinary approach to practical choice problems.
E.A. Batzias; Christos Roumpos. Multicriteria choice of a lignite field for mine development and power plant construction. Mine Planning and Equipment Selection 2000 2018, 783 -788.
AMA StyleE.A. Batzias, Christos Roumpos. Multicriteria choice of a lignite field for mine development and power plant construction. Mine Planning and Equipment Selection 2000. 2018; ():783-788.
Chicago/Turabian StyleE.A. Batzias; Christos Roumpos. 2018. "Multicriteria choice of a lignite field for mine development and power plant construction." Mine Planning and Equipment Selection 2000 , no. : 783-788.
Ioannis Palogos; Michael Galetakis; Christos Roumpos; Francis Pavloudakis. Selection of optimal land uses for the reclamation of surface mines by using evolutionary algorithms. International Journal of Mining Science and Technology 2017, 27, 491 -498.
AMA StyleIoannis Palogos, Michael Galetakis, Christos Roumpos, Francis Pavloudakis. Selection of optimal land uses for the reclamation of surface mines by using evolutionary algorithms. International Journal of Mining Science and Technology. 2017; 27 (3):491-498.
Chicago/Turabian StyleIoannis Palogos; Michael Galetakis; Christos Roumpos; Francis Pavloudakis. 2017. "Selection of optimal land uses for the reclamation of surface mines by using evolutionary algorithms." International Journal of Mining Science and Technology 27, no. 3: 491-498.
Energy resources are distributed in space. Models of spatial variability thus greatly contribute to the optimal exploitation of such resources. This paper concentrates on modeling the spatial distribution of energy content based on geostatistical interpolation and simulation methods. We focus on lignite, a fossil fuel which plays a key role in the energy budget in several parts of the world. Nonetheless, geostatistical tools are also relevant for the analysis of renewable and other fossil-based energy resources. Quantitative understanding of the spatial variability of lignite energy reserves helps to optimize mine exploitation and to reduce fluctuations in the quality of the fuel supplied to power plants. We also introduce the spatial profitability index as an analytical tool for the design and medium-term exploitation of multiseam mines. Based on this index we propose an empirical equation which allows fast and practical estimation of changes in energy reserves due to variations in expected costs or revenues. We illustrate the proposed modeling framework using lignite data from the Mavropigi mine in Northern Greece.
Andreas Pavlides; Dionissios T. Hristopulos; Christos Roumpos; Zach Agioutantis. Spatial modeling of lignite energy reserves for exploitation planning and quality control. Energy 2015, 93, 1906 -1917.
AMA StyleAndreas Pavlides, Dionissios T. Hristopulos, Christos Roumpos, Zach Agioutantis. Spatial modeling of lignite energy reserves for exploitation planning and quality control. Energy. 2015; 93 ():1906-1917.
Chicago/Turabian StyleAndreas Pavlides; Dionissios T. Hristopulos; Christos Roumpos; Zach Agioutantis. 2015. "Spatial modeling of lignite energy reserves for exploitation planning and quality control." Energy 93, no. : 1906-1917.
M. Galetakis; Christos Roumpos. A Multi-objective Response Surface Analysis for the Determination of the Optimal Cut-off Quality and Minimum Thickness for Selective Mining of Multiple-layered Lignite Deposits. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 2015, 37, 428 -439.
AMA StyleM. Galetakis, Christos Roumpos. A Multi-objective Response Surface Analysis for the Determination of the Optimal Cut-off Quality and Minimum Thickness for Selective Mining of Multiple-layered Lignite Deposits. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. 2015; 37 (4):428-439.
Chicago/Turabian StyleM. Galetakis; Christos Roumpos. 2015. "A Multi-objective Response Surface Analysis for the Determination of the Optimal Cut-off Quality and Minimum Thickness for Selective Mining of Multiple-layered Lignite Deposits." Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 37, no. 4: 428-439.
The deposit modelling and evaluation and the mineable reserves estimation of multi-seam lignite deposits is an essential process for mine planning activities. The first approach of the original drill holes data evaluation of the exploration programs refers to the analysis of the in-situ lignite seams characteristics. The algorithm of compositing of the drill holes assay intervals should take into account specific criteria of evaluation based on the corresponding power plant specifications as well as on the applied mining equipment. Especially in the case of continuous surface mining, the accuracy of the mineable reserves and the run-of-mine lignite quality estimation is a very important subject of mine planning and design procedure, provided that the applied equipment is less flexible to operation changes regarding the short-term scheduling.
Christos P. Roumpos; Nikolaos I. Paraskevis; Michael J. Galetakis; Theodore N. Michalakopoulos. Mineable Lignite Reserves Estimation in Continuous Surface Mining. Lecture Notes in Production Engineering 2015, 177 -194.
AMA StyleChristos P. Roumpos, Nikolaos I. Paraskevis, Michael J. Galetakis, Theodore N. Michalakopoulos. Mineable Lignite Reserves Estimation in Continuous Surface Mining. Lecture Notes in Production Engineering. 2015; ():177-194.
Chicago/Turabian StyleChristos P. Roumpos; Nikolaos I. Paraskevis; Michael J. Galetakis; Theodore N. Michalakopoulos. 2015. "Mineable Lignite Reserves Estimation in Continuous Surface Mining." Lecture Notes in Production Engineering , no. : 177-194.
The West Macedonia Lignite Centre (WMLC) is a complex of surface mines that produces annually 45 Mt of lignite and excavates more than 280 Mm3 of earthy materials. After 60 years of operation, WMLC occupies 16,000 ha. Up to now, 4,000 ha of mine spoils have been reclaimed; sloped surfaces have been reforested and horizontal surfaces are rented as farmland. Based on the environmental permits that are in force, WMLC conducts systematically soil sampling and lab analyses for determining quality characteristics of reclaimed soils that concern both soil fertility and contamination control.According to the results of lab analyses carried out so far, reclaimed soils are characterized by an alkaline pH and normal electrical conductivity values. Their particle size distribution classifies them from moderately coarse to fine soils. A large number of samples exhibit high CaCO3 content, while organic matter content is high in samples collected from reclaimed mine spoils where lignite seams of low calorific value have been dumped. Cation exchange capacity is high, mainly due to high concentrations of iron in assimilable form.Regarding the concentrations of nutrients, these exhibit a wide variation depending on the element and sampling depth. Sufficient concentrations of the exchangeable cations K+, Ca2+ and Mg2+ have been determined in the majority of the soil samples. Phosphorus concentrations are below the generally accepted availability level of 20 mg/kg.Heavy metals concentrations are below the screening values determined by the Dutch Soil Pollution Act with the exception of Nickel, which often exhibits concentrations higher than the intervention value of 210 mg/kg. Chromium concentrations are also high but do not exceed the intervention value of 380 mg/kg. Iron is the only metal that exhibits systematically higher concentrations in soil samples collected from the reclaimed mine spoils than in soil samples collected from areas of West Macedonia region that have not been disturbed by lignite mining operations.
C. Papadopoulos; C. Gekaa; F. Pavloudakis; C. Roumpos; S. Andreadou. Evaluation of the Soil Quality on the Reclaimed Lignite Mine Land in West Macedonia, Greece. Procedia Earth and Planetary Science 2015, 15, 928 -932.
AMA StyleC. Papadopoulos, C. Gekaa, F. Pavloudakis, C. Roumpos, S. Andreadou. Evaluation of the Soil Quality on the Reclaimed Lignite Mine Land in West Macedonia, Greece. Procedia Earth and Planetary Science. 2015; 15 ():928-932.
Chicago/Turabian StyleC. Papadopoulos; C. Gekaa; F. Pavloudakis; C. Roumpos; S. Andreadou. 2015. "Evaluation of the Soil Quality on the Reclaimed Lignite Mine Land in West Macedonia, Greece." Procedia Earth and Planetary Science 15, no. : 928-932.
The performance of bucket-wheel excavators used for the selective mining of multiple-layered lignite deposits is mainly determined by the physical and mechanical properties of the excavated material (digability parameters), as well as by the thickness and the inclination of the excavated layer. The lack of sufficient information regarding the diggability of the excavated layers during mine design stage results in a poor estimation of the bucket-wheel excavator’s performance. Such inaccurate estimation could lead to inappropriate equipment selection. The possibility of prediction of the bucket-wheel excavator performance by using an expert system was investigated in the present study. The development of the expert system was based on the existing boreholes’ data related to physical and mechanical properties of waste and lignite layers, on their geological descriptions and on the existing experiential knowledge about selective mining by bucket-wheel excavators.
Michael Galetakis; Stylianos Papadopoulos; Anthoula Vasiliou; Christos Roumpos; Theodoros Michalakopoulos. Development of an Expert System for the Prediction of the Performance of Bucket-Wheel Excavators Used for the Selective Mining of Multiple-layered Lignite Deposits. Lecture Notes in Production Engineering 2015, 47 -58.
AMA StyleMichael Galetakis, Stylianos Papadopoulos, Anthoula Vasiliou, Christos Roumpos, Theodoros Michalakopoulos. Development of an Expert System for the Prediction of the Performance of Bucket-Wheel Excavators Used for the Selective Mining of Multiple-layered Lignite Deposits. Lecture Notes in Production Engineering. 2015; ():47-58.
Chicago/Turabian StyleMichael Galetakis; Stylianos Papadopoulos; Anthoula Vasiliou; Christos Roumpos; Theodoros Michalakopoulos. 2015. "Development of an Expert System for the Prediction of the Performance of Bucket-Wheel Excavators Used for the Selective Mining of Multiple-layered Lignite Deposits." Lecture Notes in Production Engineering , no. : 47-58.
Continuous surface mining systems, employing bucket wheel excavators, belt conveyors, and stackers, are used in the exploitation of most of the large lignite mines in northern Greece. One particular characteristic of these mines is that the deposits consist of a series of lignite layers of thickness varying from just a few centimeters up to several meters, with interbedded layers of sandy and clayey waste material. This multi-layer geology dictates frequent changes of the material excavated on each bench, which adds to the complexity of the inherently stochastic mining system and makes material flow a critical performance parameter. In this paper an animated discrete-event simulation of such an operating continuous mining system is presented. An extensive statistical analysis of recorded operational data for a period spanning a full calendar year, as well as of the deposit’s spatial variability, provides the empirical distributions used to model input variables. The distribution of material flow at the belt conveyor hub, production estimates, equipment availability and utilization are model outputs. The simulation model is evaluated in terms of its suitability for decision making under risk during mine planning and design.
Theodoros Michalakopoulos; Christos Roumpos; Michael J. Galetakis; George N. Panagiotou. Discrete-Event Simulation of Continuous Mining Systems in Multi-layer Lignite Deposits. Lecture Notes in Production Engineering 2015, 225 -239.
AMA StyleTheodoros Michalakopoulos, Christos Roumpos, Michael J. Galetakis, George N. Panagiotou. Discrete-Event Simulation of Continuous Mining Systems in Multi-layer Lignite Deposits. Lecture Notes in Production Engineering. 2015; ():225-239.
Chicago/Turabian StyleTheodoros Michalakopoulos; Christos Roumpos; Michael J. Galetakis; George N. Panagiotou. 2015. "Discrete-Event Simulation of Continuous Mining Systems in Multi-layer Lignite Deposits." Lecture Notes in Production Engineering , no. : 225-239.
Christos Roumpos; Panagiotis Partsinevelos; Zacharias Agioutantis; Kostas Makantasis; Antigoni Vlachou. The optimal location of the distribution point of the belt conveyor system in continuous surface mining operations. Simulation Modelling Practice and Theory 2014, 47, 19 -27.
AMA StyleChristos Roumpos, Panagiotis Partsinevelos, Zacharias Agioutantis, Kostas Makantasis, Antigoni Vlachou. The optimal location of the distribution point of the belt conveyor system in continuous surface mining operations. Simulation Modelling Practice and Theory. 2014; 47 ():19-27.
Chicago/Turabian StyleChristos Roumpos; Panagiotis Partsinevelos; Zacharias Agioutantis; Kostas Makantasis; Antigoni Vlachou. 2014. "The optimal location of the distribution point of the belt conveyor system in continuous surface mining operations." Simulation Modelling Practice and Theory 47, no. : 19-27.
Surface mining operations can adversely impact the environment. The size and nature of earth-moving works carried out for the exploitation of mineral deposits can cause severe environmental problems unless the mining company plans and implements an effective environmental protection and land reclamation programme. Such a programme starts from the early stages of deposit exploration and continues for many years after the closure of the mine. The type and magnitude of environmental damage associated with surface mining projects are closely related to various site-specific, physical, chemical, ecological, socioeconomic and cultural characteristics, which must be thoroughly identified, analysed and modelled. The goal of this study is to provide decision-makers with information that is necessary for assessing the contribution of a proposed project to national, regional and local development and welfare. Using this approach, project proponents and supervising authorities are able to communicate effectively with public interest groups. Speedy and effective communication between all stakeholders engenders mutual cooperation and collaboration while minimising political damage, all of which will minimise risks that may lead to financial losses or cancellation of the project in its entirely. This article is a review of the main regulatory aspects of public involvement in decision-making involving environmental management of surface mining projects with special emphasis on the Aarhus Convention, an initiative of UN Economic Commission for Europe. The study cites several cases of ‘contract-based’ agreements between mining companies, supervising authorities and the public that have successfully addressed various environmental and socioeconomic issues. Furthermore, this article proposes a methodology for predicting the budget that is required for financing environmental protection and land reclamation works throughout the entire life of the mine, taking into account numerous technical and economic parameters as well as the associated uncertainty. The methodology proposed in this study may be useful during negotiations of environmental management plans for new or for existing mining activities.
F. Pavloudakis; Ch. Roumpos; M. Galetakis; Christos Roumpos. Public acceptance of surface mining projects and the determination of the marginal environmental cost. International Journal of Mining, Reclamation and Environment 2012, 26, 292 -308.
AMA StyleF. Pavloudakis, Ch. Roumpos, M. Galetakis, Christos Roumpos. Public acceptance of surface mining projects and the determination of the marginal environmental cost. International Journal of Mining, Reclamation and Environment. 2012; 26 (4):292-308.
Chicago/Turabian StyleF. Pavloudakis; Ch. Roumpos; M. Galetakis; Christos Roumpos. 2012. "Public acceptance of surface mining projects and the determination of the marginal environmental cost." International Journal of Mining, Reclamation and Environment 26, no. 4: 292-308.
Michael Galetakis; Christos Roumpos; George Alevizos; Despina Vamvuka. Reprint of: Production scheduling of a lignite mine under quality and reserves uncertainty. Reliability Engineering & System Safety 2012, 107, 224 -230.
AMA StyleMichael Galetakis, Christos Roumpos, George Alevizos, Despina Vamvuka. Reprint of: Production scheduling of a lignite mine under quality and reserves uncertainty. Reliability Engineering & System Safety. 2012; 107 ():224-230.
Chicago/Turabian StyleMichael Galetakis; Christos Roumpos; George Alevizos; Despina Vamvuka. 2012. "Reprint of: Production scheduling of a lignite mine under quality and reserves uncertainty." Reliability Engineering & System Safety 107, no. : 224-230.