This study aims to analyze, from social-economics and environmental perspectives, how illegal gold mining survives and grows with its illegal status. Generally, illegal mining has a positive impact on the socio-economy of all parties involved. However, mining activities cause environmental damage and pollution so that the local community is vulnerable to disaster and potential conflict. This research was conducted at an illegal mining site in Aceh, the western province of Indonesia. To describe the primary data, it employs a descriptive qualitative method. The purposive sampling method is used to select key informants. The results show an increasing income of all stakeholders involved. To minimize environmental damage and pollution, illegal mining uses a very simpledbut very environmentally friendlydtool, “Asbhuk”, which does not harm the sustainability of the natural environment, especially the use of wells and mountain springs. Nevertheless, natural disasters often occur in the mining area, such as overflowing rivers and landslides caused by heavy rainfall. It is a negative impact from changes in the structure of mining land, forest encroachment, and the expansion of the river. There is no significant conflict between direct and indirect parties engaged in illegal mining activities. The direct parties desire this mining activity to be conducted by artisanal and small groups.
{"title":"“Surviving and growing up with illegal status”: The Analysis of Socio–Economic Household, Potential Conflict, the Environmental Damage, and Vulnerability of Local Community to Disaster","authors":"S. Syahnur, Yossi Diantimala","doi":"10.46873/2300-3960.1061","DOIUrl":"https://doi.org/10.46873/2300-3960.1061","url":null,"abstract":"This study aims to analyze, from social-economics and environmental perspectives, how illegal gold mining survives and grows with its illegal status. Generally, illegal mining has a positive impact on the socio-economy of all parties involved. However, mining activities cause environmental damage and pollution so that the local community is vulnerable to disaster and potential conflict. This research was conducted at an illegal mining site in Aceh, the western province of Indonesia. To describe the primary data, it employs a descriptive qualitative method. The purposive sampling method is used to select key informants. The results show an increasing income of all stakeholders involved. To minimize environmental damage and pollution, illegal mining uses a very simpledbut very environmentally friendlydtool, “Asbhuk”, which does not harm the sustainability of the natural environment, especially the use of wells and mountain springs. Nevertheless, natural disasters often occur in the mining area, such as overflowing rivers and landslides caused by heavy rainfall. It is a negative impact from changes in the structure of mining land, forest encroachment, and the expansion of the river. There is no significant conflict between direct and indirect parties engaged in illegal mining activities. The direct parties desire this mining activity to be conducted by artisanal and small groups.","PeriodicalId":37284,"journal":{"name":"Journal of Sustainable Mining","volume":"3 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86878225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In axial ventilation fans, the generation of a uniform flow velocity is desirable for better efficiency. To that end, different fan blade types have been developed to achieve better flow uniformity. This article aimed to characterize the flow distribution and its uniformity in four blade designs, namely constant chord, tapered blade, skewed blade, and tapered skewed blade, using Computational Fluid Dynamics (CFD). The study employs an iterative study where key study decisions are made as the study progresses. The study began with the selection of a blade profile for the study. A comparative study between the NACA seven-digit and four-digit series was conducted and for its higher flow throughput, the four-digit airfoil profile was selected. Next, with 30 and 40 Angle of Attack (AoA), the constant chord blade flow pattern is characterized. At 40 AoA flow disturbance and high-velocity spots were observed establishing the problem statement. Following that, three optimization strategies (tapering, skewing, and taper skewing) were applied in the design, and the flow pattern of each design was studied. Using a dispersion study a flow uniformity comparison between the models conducted. The property trade-off between three key performance indicators: efficiency, flow rate, and flow uniformity studied. The result shows an axial fan having a higher efficiency doesn't necessarily mean it has higher throughput whereas lower flow dispersion relates to the system's higher efficiency. Therefore, it can be concluded that seeking higher efficiency and flow uniformity in the design and development of axial fans comes with system throughput trade-off.
{"title":"Flow Characterization In Mine Ventilation Fan Blade Design Using CFD","authors":"Anwar Endris Hassen","doi":"10.46873/2300-3960.1063","DOIUrl":"https://doi.org/10.46873/2300-3960.1063","url":null,"abstract":"In axial ventilation fans, the generation of a uniform flow velocity is desirable for better efficiency. To that end, different fan blade types have been developed to achieve better flow uniformity. This article aimed to characterize the flow distribution and its uniformity in four blade designs, namely constant chord, tapered blade, skewed blade, and tapered skewed blade, using Computational Fluid Dynamics (CFD). The study employs an iterative study where key study decisions are made as the study progresses. The study began with the selection of a blade profile for the study. A comparative study between the NACA seven-digit and four-digit series was conducted and for its higher flow throughput, the four-digit airfoil profile was selected. Next, with 30 and 40 Angle of Attack (AoA), the constant chord blade flow pattern is characterized. At 40 AoA flow disturbance and high-velocity spots were observed establishing the problem statement. Following that, three optimization strategies (tapering, skewing, and taper skewing) were applied in the design, and the flow pattern of each design was studied. Using a dispersion study a flow uniformity comparison between the models conducted. The property trade-off between three key performance indicators: efficiency, flow rate, and flow uniformity studied. The result shows an axial fan having a higher efficiency doesn't necessarily mean it has higher throughput whereas lower flow dispersion relates to the system's higher efficiency. Therefore, it can be concluded that seeking higher efficiency and flow uniformity in the design and development of axial fans comes with system throughput trade-off.","PeriodicalId":37284,"journal":{"name":"Journal of Sustainable Mining","volume":"10 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2021-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87200785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Underground hard coal mining causes surface deformations. When the mining operations are conducted beneath linear objects, such as motorways, there is a risk of deformations of the axis of the road and its horizontal and vertical alignment (additional bends and vertical curvatures, longitudinal inclinations, deformations of cross-sections). In the areas subjected to mining operations, mining plants conduct geodetic monitoring. Due to their labour intensity and costs, geodetic measurements are usually made only a few times a year. The article discusses the possibility of applying Interferometric Synthetic Aperture Radar (InSAR) to monitor the subsidence of the vertical alignment of motorways caused by mining operations and its advantages and disadvantages compared to the currently used methods of geodetic measurements. The tests were conducted in two sections of motorways within the Upper Silesian Coal Basin (Poland) in the areas of intensive hard coal mining operations. Radar imaging of the surface made by the European Space Agency's (ESA) satellite Sentinel-1 equipped with the Synthetic Aperture Radar (SAR) was used.
{"title":"Application of Synthetic Aperture Radar Interferometry to monitor surface deformations of the Trans-European Transport Network (TEN-T) – A case study of the motorways crossing areas of mining operations in the Upper Silesian Coal Basin, Poland","authors":"A. Smoliński, Mariusz Stawinoga, T. Pindel","doi":"10.46873/2300-3960.1319","DOIUrl":"https://doi.org/10.46873/2300-3960.1319","url":null,"abstract":"Underground hard coal mining causes surface deformations. When the mining operations are conducted beneath linear objects, such as motorways, there is a risk of deformations of the axis of the road and its horizontal and vertical alignment (additional bends and vertical curvatures, longitudinal inclinations, deformations of cross-sections). In the areas subjected to mining operations, mining plants conduct geodetic monitoring. Due to their labour intensity and costs, geodetic measurements are usually made only a few times a year. The article discusses the possibility of applying Interferometric Synthetic Aperture Radar (InSAR) to monitor the subsidence of the vertical alignment of motorways caused by mining operations and its advantages and disadvantages compared to the currently used methods of geodetic measurements. The tests were conducted in two sections of motorways within the Upper Silesian Coal Basin (Poland) in the areas of intensive hard coal mining operations. Radar imaging of the surface made by the European Space Agency's (ESA) satellite Sentinel-1 equipped with the Synthetic Aperture Radar (SAR) was used.","PeriodicalId":37284,"journal":{"name":"Journal of Sustainable Mining","volume":"13 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91391292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Zmami, O. Ben-Salha, Sultan O. Almarshad, Houyem Chekki
The mining sector development is among the priorities of the Saudi Vision 2030. There is currently a lot of interest in the role of the mining sector in Saudi Arabia. This research contributes to this debate by empirically assessing the effects of mining on sustainable development in Saudi Arabia during the period 1980e2018. Unlike many previous studies, the three sustainable development dimensions, namely economic, social, and environmental, are jointly considered. The cointegration analysis, based on the ARDL, GregoryeHansen, and combined cointegration tests, confirms the existence of long-run relationships between mining and all sustainable development dimensions. Furthermore, the findings lend substantial evidence on the importance of the mining sector in enhancing economic and social sustainability in the shortand long-run. There is, however, no evidence of the existence of adverse environmental effects of mining. The long-run effects of mining are robust to a battery of robustness and stability tests. Suitable policy recommendations are subse-
{"title":"The contribution of mining sector to sustainable development in Saudi Arabia","authors":"M. Zmami, O. Ben-Salha, Sultan O. Almarshad, Houyem Chekki","doi":"10.46873/2300-3960.1056","DOIUrl":"https://doi.org/10.46873/2300-3960.1056","url":null,"abstract":"The mining sector development is among the priorities of the Saudi Vision 2030. There is currently a lot of interest in the role of the mining sector in Saudi Arabia. This research contributes to this debate by empirically assessing the effects of mining on sustainable development in Saudi Arabia during the period 1980e2018. Unlike many previous studies, the three sustainable development dimensions, namely economic, social, and environmental, are jointly considered. The cointegration analysis, based on the ARDL, GregoryeHansen, and combined cointegration tests, confirms the existence of long-run relationships between mining and all sustainable development dimensions. Furthermore, the findings lend substantial evidence on the importance of the mining sector in enhancing economic and social sustainability in the shortand long-run. There is, however, no evidence of the existence of adverse environmental effects of mining. The long-run effects of mining are robust to a battery of robustness and stability tests. Suitable policy recommendations are subse-","PeriodicalId":37284,"journal":{"name":"Journal of Sustainable Mining","volume":"68 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2021-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74891721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nikolaos Paraskevis, Aikaterini Servou, C. Roumpos, F. Pavloudakis
Long-term surface mining and land cover/use changes have been evidenced to have a critical relationship. This study investigates the evolution of this relationship for Ptolemais (Northern Greece) coal mining area during the period 1990e2018. In this context, satellite images, Corine data, and mining maps were used. A relative spatial indicator (RSI) was adopted to describe the mineral land areas and ArcGIS tools to define the land cover and use changes. Furthermore, mine operation parameters were statistically analyzed concerning land cover/use areas. The study revealed that areas described as “mineral extraction sites” present a strong correlation with “non-irrigated arable land” and “transitional woodland”. From 1990 to 2018, the total forest area was increased by three times, mainly as a result of the dumping sites’ geometry. Additionally, the mine operation parameters are well correlated with the active mining area, and more specifically, there is a linear relationship between the stripping ratio and the ratio of lignite production to active mining area. In the general case, the calculated annual changing rate of land use types may contribute to the prediction of future land reclamation uses and, consequently, to land reclamation planning in due time.
{"title":"Spatiotemporal Interactions between Surface Coal Mining and Land Cover and Use Changes","authors":"Nikolaos Paraskevis, Aikaterini Servou, C. Roumpos, F. Pavloudakis","doi":"10.46873/2300-3960.1053","DOIUrl":"https://doi.org/10.46873/2300-3960.1053","url":null,"abstract":"Long-term surface mining and land cover/use changes have been evidenced to have a critical relationship. This study investigates the evolution of this relationship for Ptolemais (Northern Greece) coal mining area during the period 1990e2018. In this context, satellite images, Corine data, and mining maps were used. A relative spatial indicator (RSI) was adopted to describe the mineral land areas and ArcGIS tools to define the land cover and use changes. Furthermore, mine operation parameters were statistically analyzed concerning land cover/use areas. The study revealed that areas described as “mineral extraction sites” present a strong correlation with “non-irrigated arable land” and “transitional woodland”. From 1990 to 2018, the total forest area was increased by three times, mainly as a result of the dumping sites’ geometry. Additionally, the mine operation parameters are well correlated with the active mining area, and more specifically, there is a linear relationship between the stripping ratio and the ratio of lignite production to active mining area. In the general case, the calculated annual changing rate of land use types may contribute to the prediction of future land reclamation uses and, consequently, to land reclamation planning in due time.","PeriodicalId":37284,"journal":{"name":"Journal of Sustainable Mining","volume":"1 1","pages":"72-89"},"PeriodicalIF":1.0,"publicationDate":"2021-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83134598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. A. Abuntori, S. Al-Hassan, D. Mireku-Gyimah, Y. Ziggah
Due to the complex geology of vein deposits and their erratic grade distributions, there is the tendency of over-estimating or underestimating the ore grade. These estimated grade results determine the pro fi tability of mining the ore deposit or otherwise. In this study, fi ve Extreme Learning Machine (ELM) variants based on hard limit, sigmoid, triangular basis, sine and radial basis activation functions were applied to predict ore grade. The motive is that the activation function has been identi fi ed to play a key role in achieving optimum ELM performance. Therefore, assessing the extent of in fl uence the activation functions will have on the fi nal outputs from the ELM has some scienti fi c value worth investigating. This study therefore applied ELM as ore grade estimator which is yet to be explored in the literature. The obtained results from the fi ve ELM variants were analysed and compared with the state-of-the-art benchmark methods of Back-propagation Neural Network (BPNN) and Ordinary Kriging (OK). The statistical test results revealed that the ELM with sigmoid activation function (ELM-Sigmoid) was the best among all the other investigated methods (ELM-Hard limit, ELM-Triangular basis, ELM-Sine, ELM-Radial Basis, BPNN and OK). This is because the ELM-sigmoid produced the lowest MAE (0.0175), MSE (0.0005) and RMSE (0.0229) with highest R 2 (91.93%) and R (95.88%) respectively. It was concluded that ELM-Sigmoid can be used by fi eld practitioners as a reliable alternative ore grade estimation technique.
{"title":"Evaluating the Performance of Extreme Learning Machine Technique for Ore Grade Estimation","authors":"C. A. Abuntori, S. Al-Hassan, D. Mireku-Gyimah, Y. Ziggah","doi":"10.46873/2300-3960.1062","DOIUrl":"https://doi.org/10.46873/2300-3960.1062","url":null,"abstract":"Due to the complex geology of vein deposits and their erratic grade distributions, there is the tendency of over-estimating or underestimating the ore grade. These estimated grade results determine the pro fi tability of mining the ore deposit or otherwise. In this study, fi ve Extreme Learning Machine (ELM) variants based on hard limit, sigmoid, triangular basis, sine and radial basis activation functions were applied to predict ore grade. The motive is that the activation function has been identi fi ed to play a key role in achieving optimum ELM performance. Therefore, assessing the extent of in fl uence the activation functions will have on the fi nal outputs from the ELM has some scienti fi c value worth investigating. This study therefore applied ELM as ore grade estimator which is yet to be explored in the literature. The obtained results from the fi ve ELM variants were analysed and compared with the state-of-the-art benchmark methods of Back-propagation Neural Network (BPNN) and Ordinary Kriging (OK). The statistical test results revealed that the ELM with sigmoid activation function (ELM-Sigmoid) was the best among all the other investigated methods (ELM-Hard limit, ELM-Triangular basis, ELM-Sine, ELM-Radial Basis, BPNN and OK). This is because the ELM-sigmoid produced the lowest MAE (0.0175), MSE (0.0005) and RMSE (0.0229) with highest R 2 (91.93%) and R (95.88%) respectively. It was concluded that ELM-Sigmoid can be used by fi eld practitioners as a reliable alternative ore grade estimation technique.","PeriodicalId":37284,"journal":{"name":"Journal of Sustainable Mining","volume":"22 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2021-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81722547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mine designers often face difficulties in selecting an appropriate mining method; however, such a method should be selected based on ore and rock characteristics. The selection of mining methods can be considered a type of multi-criteria decision making, and this depends on many factors used in the selection process. The general method used in this field is the University of British Columbia (UBC) method, which determines the criteria of the properties that are compared to determine the best and worst of several mining methods. In this paper we used as new technique which define as Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The criteria considered in the UBC method include general shape, ore thickness, ore plunge, and grade distribution, beside the rock quality designation (RQD), and the rock substance strength (RSS). This paper presents an improved TOPSIS method based on experimental design. Additionally, this paper will introduce a modified version of the UBC method that can be employed based on Excel sheet. The best mining methods is cut and fill Stoping and Top slicing with the same rank equal 0.72, and the second-best mining method is Square set Stoping with rank equal 0.65.
{"title":"Selection mining methods via multiple criteria decision analysis using TOPSIS and modification of the UBC method","authors":"Mahrous A. M. Ali, Jong-Gwan Kim","doi":"10.46873/2300-3960.1054","DOIUrl":"https://doi.org/10.46873/2300-3960.1054","url":null,"abstract":"Mine designers often face difficulties in selecting an appropriate mining method; however, such a method should be selected based on ore and rock characteristics. The selection of mining methods can be considered a type of multi-criteria decision making, and this depends on many factors used in the selection process. The general method used in this field is the University of British Columbia (UBC) method, which determines the criteria of the properties that are compared to determine the best and worst of several mining methods. In this paper we used as new technique which define as Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The criteria considered in the UBC method include general shape, ore thickness, ore plunge, and grade distribution, beside the rock quality designation (RQD), and the rock substance strength (RSS). This paper presents an improved TOPSIS method based on experimental design. Additionally, this paper will introduce a modified version of the UBC method that can be employed based on Excel sheet. The best mining methods is cut and fill Stoping and Top slicing with the same rank equal 0.72, and the second-best mining method is Square set Stoping with rank equal 0.65.","PeriodicalId":37284,"journal":{"name":"Journal of Sustainable Mining","volume":"36 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2021-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86764352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ABSTRACT Purpose This article presents an algorithm for the current assessment of methane hazards during the exploitation of longwalls in conditions where there are methane hazards. The algorithm has been developed within the framework of the international AVENTO project (Advanced Tools For Ventilation and Methane Emissions Control), carried out in Poland, inter alia, by the Central Mining Institute in cooperation with Kompania Weglowa SA (KW SA).The algorithm was developed based on the analysis of the ventilation-methane balances for longwall areas, based on the data registered by automatic methane sensors and the velocity of ventilating air. Methods Multiple research methods were used, such as: observation, a questionnaire and statistical methods.The questionnaire was used for the preliminary determination of methane hazards in the longwalls belonging to the industrial partner (KW SA). The polls were used to obtain relevant information about the hazards and means of prevention taken, such as: the methane content in the seam, the emissions of methane into the exploitation workings, the volume of methane drainage, the ventilation system used, and the amount of ventilation air used to combat the methane hazard. Based on the poll's data, the longwalls with methane emissions in their environment were selected for testing, based on long-term observations of changes in the concentrations of methane in the ventilation air and in the methane drainage net. Methane concentration measurements were based on the values recorded by the methane sensors located in the workings which were considered to be most dangerous. For data processing a statistical method was used. In the research, the average results of the indicated concentrations of methane from the methane sensors were used for the correlation between the average values of methane emission in the region of the longwall or methane drainage, with other parameters, such as absolute pressure changes on the surface, technological processes or cycles in the longwall. For the evaluation of the methane hazard, an indicator was proposed, these being the ratio of the ventilation methane bearing capacity to the criterial methane bearing capacity. An increase of this indicator indicates an increase in the level of methane hazard. Results On the basis of the average daily value of the methane hazard status indicator, an algorithm for the assessment and visualization of methane hazard in the areas of the active longwalls was developed. The algorithm contains a list of technical and organizational actions which should be taken in the event of unfavourable risk assessment of methane hazard, reflecting very high risk or unsafe conditions for conducting further work. Practical implications The proposed algorithm can be used for the ongoing assessment of methane hazard in areas of exploited longwalls in order to support staff in surface control rooms and in ventilation departments. Originality/value The current assessmen
摘要目的提出了一种长壁开采存在甲烷危害条件下的甲烷危害评估算法。该算法是在国际AVENTO项目(通风和甲烷排放控制先进工具)框架内开发的，该项目除其他外由中央采矿研究所与Kompania Weglowa SA (KW SA)合作在波兰执行。该算法是在分析长壁地区通风-甲烷平衡的基础上，根据自动甲烷传感器记录的数据和通风速度开发的。方法采用观察法、问卷调查法、统计法等多种研究方法。利用问卷调查初步确定了工业合作伙伴(KW SA)长壁井的甲烷危害。问卷调查的目的是了解煤层的甲烷含量、向开采工作面排放的甲烷量、甲烷排气量、使用的通风系统以及用于对抗甲烷危害的通风风量等相关信息和采取的预防措施。根据民意调查的数据，根据对通风空气和甲烷排放网中甲烷浓度变化的长期观察，选择了环境中有甲烷排放的长壁进行测试。甲烷浓度测量是根据位于被认为是最危险的工作场所的甲烷传感器记录的值进行的。数据处理采用统计学方法。在研究中，利用甲烷传感器指示的甲烷浓度的平均值，将长壁区域甲烷排放或甲烷排放的平均值与地表绝对压力变化、长壁工艺流程或循环等其他参数进行相关性分析。针对甲烷危害的评价，提出了通风甲烷承载力与标准甲烷承载力的比值。该指标的增加表明甲烷危害程度的增加。结果基于甲烷危害状态指标的日均值，建立了长壁活跃区甲烷危害评价与可视化算法。该算法载有一份技术和组织行动清单，如果对甲烷危害进行不利的风险评估，反映出进行进一步工作的风险非常高或条件不安全，应采取这些行动。该算法可用于长壁开采区域甲烷危害的持续评估，为地面控制室和通风部门的工作人员提供支持。利用所开发的算法对长壁瓦斯条件下的瓦斯危害进行评估，将提高开采的安全性。
{"title":"The Balance of Methane and Ventilation as a Tool for Methane Hazard Assessment in the Areas of Longwalls Exploited in Hard Coal Mines","authors":"Henryk Koptoń, Krystian Wierzbiński","doi":"10.46873/2300-3960.1249","DOIUrl":"https://doi.org/10.46873/2300-3960.1249","url":null,"abstract":"ABSTRACT Purpose This article presents an algorithm for the current assessment of methane hazards during the exploitation of longwalls in conditions where there are methane hazards. The algorithm has been developed within the framework of the international AVENTO project (Advanced Tools For Ventilation and Methane Emissions Control), carried out in Poland, inter alia, by the Central Mining Institute in cooperation with Kompania Weglowa SA (KW SA).The algorithm was developed based on the analysis of the ventilation-methane balances for longwall areas, based on the data registered by automatic methane sensors and the velocity of ventilating air. Methods Multiple research methods were used, such as: observation, a questionnaire and statistical methods.The questionnaire was used for the preliminary determination of methane hazards in the longwalls belonging to the industrial partner (KW SA). The polls were used to obtain relevant information about the hazards and means of prevention taken, such as: the methane content in the seam, the emissions of methane into the exploitation workings, the volume of methane drainage, the ventilation system used, and the amount of ventilation air used to combat the methane hazard. Based on the poll's data, the longwalls with methane emissions in their environment were selected for testing, based on long-term observations of changes in the concentrations of methane in the ventilation air and in the methane drainage net. Methane concentration measurements were based on the values recorded by the methane sensors located in the workings which were considered to be most dangerous. For data processing a statistical method was used. In the research, the average results of the indicated concentrations of methane from the methane sensors were used for the correlation between the average values of methane emission in the region of the longwall or methane drainage, with other parameters, such as absolute pressure changes on the surface, technological processes or cycles in the longwall. For the evaluation of the methane hazard, an indicator was proposed, these being the ratio of the ventilation methane bearing capacity to the criterial methane bearing capacity. An increase of this indicator indicates an increase in the level of methane hazard. Results On the basis of the average daily value of the methane hazard status indicator, an algorithm for the assessment and visualization of methane hazard in the areas of the active longwalls was developed. The algorithm contains a list of technical and organizational actions which should be taken in the event of unfavourable risk assessment of methane hazard, reflecting very high risk or unsafe conditions for conducting further work. Practical implications The proposed algorithm can be used for the ongoing assessment of methane hazard in areas of exploited longwalls in order to support staff in surface control rooms and in ventilation departments. Originality/value The current assessmen","PeriodicalId":37284,"journal":{"name":"Journal of Sustainable Mining","volume":"47 1","pages":"40-46"},"PeriodicalIF":1.0,"publicationDate":"2021-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82246280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Is the relationship between mining and climate change only one-way? Climate change potential impacts on mining activity – hazards, risks and adaptation measures","authors":"M. Markowska","doi":"10.46873/2300-3960.1051","DOIUrl":"https://doi.org/10.46873/2300-3960.1051","url":null,"abstract":"","PeriodicalId":37284,"journal":{"name":"Journal of Sustainable Mining","volume":"248 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2021-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91320319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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