Search

Ventilation air methane (VAM), which is the main source of greenhouse gas emissions from coal mines, has been a great challenge to deal with due to its huge flow rates and dilute methane levels (typically 0.3–1.0 vol%) with almost 100% humidity. As part of our continuous endeavor to further improve the methane adsorption capacity of carbon composites, this paper presents new carbon composites derived from macadamia nut shells (MNSs) and incorporated with carbon nanotubes (CNTs). These new carbon composites were fabricated in a honeycomb monolithic structure to tolerate dusty environment and to minimize pressure drop. This paper demonstrates the importance of biomass particle size distributions when formed in a composite and methane adsorption capacities at low pressures relevant to VAM levels. The selectivity of methane over nitrogen was about 10.4 at each relevant partial pressure, which was much greater than that (6.5) obtained conventionally (at very low pressures), suggesting that capturing methane in the presence of pre-adsorbed nitrogen would be a practical option. The equilibrium and dynamic performance of biomass-derived carbon composites were enhanced by 30 and 84%, respectively, compared to those of our previous carbon fiber composites. In addition, the presence of moisture in ventilation air resulted in a negligible effect on the dynamic VAM capture performance of the carbon composites, suggesting that our carbon composites have a great potential for site applications at coal mines because the cost and performance of solid adsorbents are critical factors to consider. [ABSTRACT FROM AUTHOR]

North China type coalfield are gradually mining deep, and the mixing of groundwater is intensified. Hydrogen and oxygen isotopes are important elements for tracing groundwater movement. The fractionation response mechanism under mining conditions is not clear. In this paper, combined with numerical simulation, MixSIAR isotope mixing model and other methods, according to the δD, δ18O and hydrochemical information of various water bodies, the impact of coal mining on hydrogen and oxygen isotope fractionation is analyzed from multiple perspectives. The results show that summer soil water is the main source of recharge for limestone water, accounting for 30.7%–41.5%, and the Zhan River is the main source of recharge for limestone water. Before groundwater recharge, evaporation leads to the increase of δ18O in surface water by 0.31‰–5.58‰, water loss by 1.81%–28.00%, the increase of δ18O in soil water by 0.47‰–6.33‰, and water loss by 2.74%–35.80%. Compared with the coal mining layer, the degree of hydrogen and oxygen isotope drift and water-rock interaction in the coal mine stopping layer are significantly improved. The results of numerical simulation show that the pumping activity reduces the 18O concentration in the mining layer. The ion ratio is used as a new variable to eliminate the influence of water-rock interaction when calculating the mixing ratio. The results show that the limestone water is in a state of receiving external recharge, and mixing effect increases the δ18O in limestone water by 0.86‰ on average, and the δD increases by 0.72‰ on average. The research results explain the controlled process of hydrogen and oxygen isotope fractionation under mining conditions, which is of great significance to coal mine safety production. • The contribution ratio of surface water and soil water to limestone water in different seasons was estimated. • Summer soil water is the main recharge source of limestone water. • The mixing effect increases δ18O and δD in limestone water. • The isotope exchange and water-rock interaction in coal mine stopping layer are stronger than coal mining layer. • High temperature does not promote the drift of 18O in limestone water. [ABSTRACT FROM AUTHOR]

• The geometric dimension of the package shell of the sensing unit are studied by theory and experiment, and improper design of the package housing may degrade the frequency response characteristics of the sensing unit. • The influence of prestress on the frequency response characteristic of sensor is studied. • The geometric dimension of the package shell and the prestress of the sensing unit are reasonably optimized to make the working frequency of the sensor avoid the resonant frequency of the shell. • The paper provides a theoretical basis for the design and manufacture of the sensors with wide frequency response and high sensitivity in different engineering applications, such as high frequency small amplitude and low frequency large amplitude. In coal mine, military, oil well monitoring and other fields, the traditional electrical accelerometers based on piezoelectric and capacitive can not meet the needs of high-performance applications. The optical fiber acceleration sensor with high precision, large dynamic, wide frequency response, anti-electromagnetic interference and other unique advantages, can meet a variety of applications. The complete optical fiber acceleration sensor consists of a package housing and an internal sensing unit. Some factors, including the vibration and deformation of the housing itself, and the prestress of the sensing unit will directly affect the frequency response characteristics of the sensor. The experimental results show that the resonant frequency of the package housing is outside the operating frequency band of the sensor through reasonable design of shell parameters; in a certain torque range (0.2 N . m ∼ 0.8 N . m), the resonant frequency increases with the increase of the torque. The research provides a theoretical basis for the design and manufacture of the sensors with wide frequency response and high sensitivity in different engineering applications, such as high frequency small amplitude and low frequency large amplitude. [ABSTRACT FROM AUTHOR]

Land subsidence induced by coal mining (MLS) has posed a huge threat to the ecological environment, buildings, roads, and other infrastructure safety in mining areas. However, the prediction and evaluation of MLS is relatively complex, and the reliability of the prediction results is closely related to factors such as the professional knowledge and engineering experience of researchers. This paper aims to combine intelligent optimization algorithms: ant lion optimizer (ALO), bald eagle search (BES), bird swarm algorithm (BSA), harris hawks optimization (HHO), and sparrow search algorithm (SSA), with machine learning model of gradient boosting with categorical features support algorithm (CatBoost) to predict MLS. To achieve this goal, five hybrid models based CatBoost were developed and the prediction accuracy and reliability of the models were compared and analyzed. The prediction performance of the hybrid models has been significantly improved on the basis of a single model, of which the SSA-CatBoost model has the most obvious improvement (from R2 = 0.927 to 0.965, RMSE = 0.541 to 0.377, MAE = 0.386 to 0.297, VAF = 92.720 to 95.837). The importance and predictive contribution of all input features to predictive labels were studied with the Shapley method. The research results indicate that hybrid model technology is a reliable MLS prediction method. This study can help mining technicians use machine learning methods to study the degree of MLS damage to the surface environment and provide scientific advanced prediction and evaluation for the protection and management of the ecological environment in mining areas and the formulation of safety production measures. • High-precision prediction model of Mining Land Subsidence (MLS) was proposed. • The intelligence algorithms were used to Automatically optimize the hyperparameters of CatBoost. • The hybrid model can more reliably and intelligently evaluate the degree of MLS harm. • The hybrid model can scientifically guide mining environmental protection. [ABSTRACT FROM AUTHOR]

Many studies have been carried out on the water environment in coal-mining subsidence area, which have mainly focused on the two aspects of nitrogen and phosphorus as well as heavy metal pollution in water. However, little attention has been paid to the problem of sulfate pollution. The surrounding conditions of subsidence area in Linhuan are complex, and there are a large number of coal gangue accumulation and coal mining activities. The sulfate pollution in water body is serious, while the specific sulfate source remains unclear. In the present study, the mining subsidence area in Linhuan, Huaibei was selected as the main study area, and 21 water samples were systematically collected from river water, subsidence area water and mine drainage. The conventional hydrochemical indexes were analyzed, and sulfur and oxygen isotopes were used to trace sources of sulfate in river water and subsidence area water. Our results showed that the total dissolved solid content was high in surface water, the hydrochemical type of Huihe River water was mainly Na+-Ca2+-HCO 3 -, and the hydrochemical type of subsidence area water was mainly Na+-Cl--SO 4 2-. Before flowing through the mining area, sulfate in the main stream of Huihe River was mainly derived from two aspects: the dissolution of evaporative salt rocks in the upper reaches. The sulfate in the Baohe River tributaries was mainly derived from the combined effects of atmospheric precipitation. The two rivers converged and were discharged into the subsidence area, causing serious sulfate pollution and affecting the water quality in the subsidence area. The δ34S SO4 value and SO 4 2− content showed a good correlation in river water, subsidence area water and mine drainage, indicating that the SO 4 2− content in the subsidence area was mainly affected by double-ended sources. Besides the impact of the Huihe River, the discharge of local mining waste water was also an important sulfate source, reflecting the effect of coal-mining activities on the water environment. • The methods of sulfur and oxygen isotopes were used to trace the source of sulfate. • This paper mainly focused on the sulfate source in surface water of mining area. • The main distinction of sulfate sources was analyzed in different water samples. [ABSTRACT FROM AUTHOR]

Abstract This article further develops the literature on the local consequences of natural resource extraction by using newly collected county data from 1964 to 1988 to capture both short- and long-term mortality effects. The article identifies the net impact on mortality and provides evidence that throughout the majority of its distribution, increases in extractive industry activity are associated with small decreases in total and cancer mortality on a year-to-year basis. However, increases in extractive activity are associated with net increases in county-level total, cancer, and infant mortality in the long run, and at very high levels of activity, and are strongly impacted by coal mining activity. Additional analysis is required regarding the short- and long-run mechanisms, but the paper provides preliminary evidence that extractive activity and local community pollution are positively related. Highlights • Newly collected data are used to identify time-varying effects at the county level. • Resource extraction is associated with small decreases in short-term mortality. • Resource extraction is associated with net increases in mortality over the long-run. • The effects of extraction on mortality vary depending on extraction amount. • The results are strongly impacted by the presence of coal mining activity. [ABSTRACT FROM AUTHOR]

Abstract Accurate estimation of particulate emissions is fundamental to assessing the air quality risks posed by existing and proposed open cut black coal mines. The currently available emission estimation techniques are based on a limited range of empirical studies, and the need for additional research and development of activity and region specific particulate emission estimation methods has been recognised. This paper presents the results of empirical testing of particulate emission rates for open area surfaces in open cut black coal mines in three Australian regions. The emission rates are provided for specific wind speeds, thus allowing adjustment of emission rates for prevailing meteorology in these regions. The influence of surface watering as a control technique is also considered. Particulate emission rates are presented for a range of coal mining sources, and for specific wind speeds. Comparison of the emission rates with the existing published research confirms the emission rates are consistent with current approaches. This research significantly expands our current understanding by presenting emission rates for a range of open area sources, for specific wind speeds and surface watering controls. This more detailed emission estimation dataset provides for adjustments to default particulate emission rates to allow site specific data to be integrated into emissions estimation. This will result in more accurate emissions estimates for existing and future projects and reduce the potential for significant over- or under-estimation of particulate emissions from surface sources in open cut coal mines. Graphical abstract Image Highlights • Particulate emission rates from open cut coal mines were experimentally challenged. • Results enable regional adjustments of emission rates for prevailing meteorology. • The influence of surface watering as emission control technique was also considered. • More accurate emission estimates for existing and future projects will be possible. [ABSTRACT FROM AUTHOR]

Coal mine methane (CMM) is not only a greenhouse gas but also a wasted energy resource if not utilised. Underground coal mining is by far the most important source of fugitive methane emissions, and ∼70% of all coal mining related methane is emitted to the atmosphere through mine ventilation air. Therefore, research and development on mine methane mitigation and utilisation now focuses on methane emitted from underground coal mines, in particular ventilation air methane (VAM) capture and utilisation. To date, most work has focused on the oxidation of very low concentration methane. These processes may be classified based on their combustion kinetic mechanisms into thermal oxidation and catalytic oxidation. VAM mitigation/utilisation technologies are generally divided into two basic categories: ancillary uses and principal uses. However, it is possible that the characteristics of ventilation air flows, for example the variations in methane concentration and the presence of certain compounds, which have not been reported so far, could make some potential VAM mitigation and utilisation technologies unfeasible if they cannot cope with the characteristics of mine site ventilation air flows. Therefore, it is important to understand the characteristics of mine ventilation air flows. Moreover, dust, hydrogen sulphide, sulphur dioxide, and other possible compounds emitted through mine ventilation air into the atmosphere are also pollutants. Therefore, this paper presents mine-site experimental results on the characteristics of mine ventilation air flows, including methane concentration and its variations, dust loadings, particle size, mineral matter of the dust, and other compounds in the ventilation air flows. The paper also discusses possible correlations between ventilation air characteristics and underground mining activities. [Copyright &y& Elsevier]

• This paper explores the construction technology, monitoring effect and applicability of distributed optical fiber sensing technology in the ground surface monitoring of model test. • The comparative analysis of the model test results and the numerical simulation results reveals some basic laws of the relationship between the ground surface and the ultra-thick conglomerate movement and deformation. • The main technical problems of distributed optical fiber in the test process are analyzed in detail, such as space location, temperature compensation, layout mode, etc. The purpose of this paper is to study the law of ground surface movement and deformation in deep and extra-thick coal seam mining under ultra-thick conglomerate. With the engineering geological conditions of Qianqiu Coal Mine as the background, the three-dimensional model with the size of 3600 mm × 2000 mm × 2000 mm (length × width × height) was constructed. The distributed optical fiber sensing monitoring network is set up in the model. The optical fiber sensing signal is collected in real time by NBX-6055 demodulator to characterize the surface movement and deformation. Then based on the Mohr-Coulomb criterion, the numerical calculation model is established by using UDEC 6.0 software to explore the internal relationship between overburden and surface movement and deformation in the process of coal mining. The test results show that the distributed optical fiber monitoring technology can effectively capture the movement and deformation of ground surface. The optical fiber strain distribution curve can accurately locate the formation area and stress state of surface subsidence basin. The surface is controlled by the key strata of ultra-thick conglomerate, and in the whole process of mining, the surface movement and deformation can be roughly divided into three stages: deformation initiation, slow deformation and sudden deformation. The conclusions indicate that the distributed optical fiber sensing monitoring technology has good applicability in the surface monitoring of model test. It provides a method for the monitoring information research of mining surface movement and deformation. [ABSTRACT FROM AUTHOR]

The development of coal resources is necessary, but it has a huge negative impact on land, ecology, and the environment. With the increasing awareness of environmental protection and the requirements of related regulations, the design and practice of reclamation projects run through the mining life cycle and continue for a long time after the coal production. High-precision monitoring of mining disturbance and reclamation, quantifying the degree and time of vegetation disturbance and restoration, is of great significance to minimize the environmental effect of mining. Remote sensing, widely used as efficient monitoring tool, but there is not enough research on disturbance and reclamation monitoring taking into account large-scale areas and high temporal and spatial accuracy. Especially when mining sites remain unknown, how to distinguish the disturbance of coal mining and other human activities affecting the surface land cover has become a challenge. Therefore, this paper proposed a method to reconstruct the time series of mining disturbance and reclamation in a large area by using the POI (point of interest) and Landsat time series images using multiple buffer analysis methods. The process includes: (1) Retrieval of POI in the study area based on the public mining list using Python crawler, and buffering 100 km for preliminary extraction of potential mining areas; (2) Using spectral index mask and random forest algorithm to accurately extract the exposed coal on the Google Earth Engine (GEE) platform; (3) Buffering 10 km to identify the occurrence of disturbance and reclamation, using pixel-based temporal trajectory identification of LandTrendr algorithm under GEE. The method successful detect the change points of surface coal mining disturbance and reclamation in eastern Inner Mongolia of China. The results show that: (1) The method can effectively identify the extent of surface coal mining disturbance and reclamation, and the overall extraction accuracy is 81%. (2) Surface coal mining disturbance in eastern Inner Mongolia was concentrated in 2006–2011. By 2020, the total disturbed area is 627.8 km2, with an average annual disturbance of 18.5 km2, and the annual maximum disturbance to the ground reached 64.6 km2 in 2008. With the total reclaimed area being 236.3 km2, the reclamation rate is about 37.6%. This study provides a systematic solution and process for monitoring the disturbance and reclamation of surface coal mining in a large range with little known about the mines' location. It can effectively identify the mining disturbance and reclamation process which can also be extended to other areas, providing a quantitative assessment of mining disturbance and reclamation, which can support further ecological restoration decision-making. [Display omitted] • A remote sensing procedure of surface coal mine classification, disturbance and reclamation monitoring is developed. • Landsat, random forest, web scraping, and Google Earth Engine has been used to detect 73 surface coal mining sites. • 0.94% of the total study area has been disturbed by surface mining. • The developed procedure is able to reveal the surface coal mine reclamation pattern. [ABSTRACT FROM AUTHOR]

Problems with lowering of water table are common all over the world. Intensive pumping of water from aquifers for consumption, irrigation, industrial or mining purposes often causes groundwater depletion and results in the formation of cone of depression. This can severely decrease water pressure, even over vast areas, and can create severe problems such as degradation of agriculture or natural environment sometimes depriving people and animals of water supply. In this paper, the authors present a method for determining the area of influence of a groundwater depression cone resulting from prolonged drainage, by means of satellite images in optical, near infrared and thermal infrared bands from TM sensor (Thematic Mapper) and ETM+ sensor (Enhanced Thematic Mapper +) placed on Landsat 5 and Landsat 7 satellites. The research area was Szczercowska Valley (Pol. Kotlina Szczercowska), Central Poland, located within a range of influence of a groundwater drainage system of the lignite coal mine in Belchatow. It is the biggest lignite coal mine in Poland and one of the largest in Europe exerting an enormous impact on the environment. The main method of satellite data analysis for determining soil moisture, was the so-called triangle method. This method, based on TVDI (Temperature Vegetation Dryness Index) was supported by additional spatial analysis including ordinary kriging used in order to combine fragmentary information obtained from areas covered by meadows. The results obtained are encouraging and confirm the usefulness of the triangle method not only for soil moisture determination but also for assessment of the temporal and spatial changes in the area influenced by the groundwater depression cone. The range of impact of the groundwater depression cone determined by means of above-described remote sensing analysis shows good agreement with that determined by ground measurements. The developed satellite method is much faster and cheaper than in-situ measurements, and allows for systematic monitoring of the vast area in the vicinity of Belchatow lignite mine. Besides, this method could be useful as a helper in in-situ measurement allowing a significant reduction of the number of in-situ measurements by performing them only within problematic areas. Hence, the triangle method can be used as an effective supplement to field measurements. Although the research area is located in Poland, in the vicinity of lignite mine, the method of observation of depression cones provided in this study is universal and effective, and therefore could also be useful to an international audience. [ABSTRACT FROM AUTHOR]

Environmental water problems have become increasingly severe, with the coal-water conflict becoming one of the most difficult issues in large scale coal mining regions. In this paper, a bi-level optimization model based on the Stackelberg–Nash equilibrium strategy with fuzzy coefficients is developed to deal with environmental water problems in large scale coal fields, in which both the groundwater quality and quantity are considered. Using the proposed model, and fully considering the relationship between the authority and the collieries and also the equilibrium between economic development and environmental protection, an environmental protection based mining quotas competition mechanism is established. To deal with the inherent uncertainties, the model is defuzzified using a possibility measure, and a solution approach based on the Karush-Kuhn-Tucker condition is designed to search for the solutions. A case study is presented to demonstrate the practicality and efficiency of the model, and different constraint violation risk levels and related results are also obtained. The results showed that under the environmental protection based mining quotas competition mechanism, collieries attempt to conduct environmentally friendly exploitation to seek greater mining quotas. This demonstrates the practicality and efficiency in the proposed model of reducing the coal-water conflict. Finally, a comprehensive discussion is provided and some propositions is given as a foundation for the proposed management recommendations. [ABSTRACT FROM AUTHOR]

Coal mine drainage ochre is a ferruginous precipitate that forms from mine water in impacted watercourses and during treatment. With thousands of tonnes per annum of such ochre arising from mine water treatment in the UK alone, management of these wastes is a substantive issue. This paper demonstrates that the ochre from both active and passive treatment of coal mine drainage can be transformed into an effective water treatment reagent by simple acid dissolution and that the reagent can be used for the removal of dissolved phosphorous from municipal wastewater and zinc from non-coal mine waters. Ochre is readily soluble in H 2 SO 4 and HCl. Ochre is more soluble in HCl with solubilities of up to 100 g/L in 20% (w/w) HCl and 68 g/L in 10% (w/w) H 2 SO 4 . For four of the eight tested ochres solubility decreased in higher concentrations of H 2 SO 4 . Ochre compositional data demonstrate that the coal mine ochres tested are relatively free from problematic levels of elements seen by other authors from acid mine drainage-derived ochre. Comparison to British Standards for use of iron-based coagulants in drinking water treatment was used as an indicator of the acceptability of use of the ochre-derived reagents in terms of potentially problematic elements. The ochre-derived reagents were found to meet the ‘Grade 3’ specification, except for arsenic. Thus, for application in municipal wastewater and mine water treatment additional processing may not be required. There was little observed compositional difference between solutions prepared using H 2 SO 4 or HCl. Ochre-derived reagents showed applicability for the removal of P and Zn with removals of up to 99% and 97% respectively measured for final pH 7–8, likely due to sorption/coprecipitation. Furthermore, the results demonstrate that applying a Fe dose in the form of liquid reagent leads to a better Fe:P and Fe:Zn removal ratio compared to ochre-based sorption media tested in the literature. [ABSTRACT FROM AUTHOR]

A possibility of using clay waste rocks (shales) from coal mines in the removal of heavy metals from industrial wastewaters is considered in this paper. Raw and calcined (600 °C) shales accompanying the coal beds in two Polish coal mines were examined with respect to their adsorptive capabilities for Pb, Ni and Cu ions. The mineralogical composition of the shales was determined and the TG/DTG analysis was carried out. The granulometric compositions of raw and calcined shales were compared. Tests of adsorption for various Pb(II), Ni(II) and Cu(II) concentrations were conducted and the pH before and after adsorption was analyzed. The results indicate that the shales from both coal mines differ in adsorptive capabilities for particular metal ions. The calcination improved the adsorptive capabilities for lead, but worsened them for nickel. The examined shales have good adsorptive capabilities, and could be used as inexpensive adsorbents of heavy metal ions, especially in the regions where resources of shale are easy accessible in the form of spoil tips. [ABSTRACT FROM AUTHOR]

Studying the change laws of reconstructed soil quality and constructing succession models are the main components and tools of reconstructed soil quality evaluation for the supervision and management of reconstructed soil. However, the evaluation and management system of reconstructed soil quality suitable for the loess area needs to be improved. This paper aimed to clarify the succession law of reconstructed soil in an open-pit coal dump in the loess area on the temporal scale and to construct a succession model of reconstructed soil quality to evaluate and manage reconstructed soil. The Pingshuo coal mine, a representative open-pit coal mine in the loess area, is the study area. Field investigation and sampling, time-space substitution, and the combination of qualitative and quantitative research methods were used. The reconstructed soil quality succession model was constructed based on the soil quality index method. Results: (1) As the reclamation period increased, the physical and chemical properties of reconstructed soil significantly improved, and reconstructed soil quality generally reached the quality of the original landform after approximately 15 years of reclamation. However, after long-term reclamation, soil physical properties still limited the improvement of reconstructed soil quality to a certain extent. (2) After long-term reclamation, the difference in reconstructed soil quality between layers gradually decreased, and the reconstructed soil condition of the 0–10 cm soil layer was obviously better than that of the other layers. (3) We quantitatively constructed and verified the reconstructed soil quality succession model that is suitable for the loess area, which can be used in conjunction with adaptive management for the evaluation and management of reconstructed soil in the loess area. In conclusion, this study is of great significance to meet the real needs of dynamic evaluation and management of reconstructed soil quality in the loess area and to enrich the soil evaluation and management system at home and abroad. • Reconstructed soil can be restored to a better condition than original landform. • The soil physical structure and properties limit the reconstructed soil quality. • Reconstructed soil quality differs significantly among soil layers. • A soil quality model is built with reclamation period as independent variable. [ABSTRACT FROM AUTHOR]

[Display omitted] • We demonstrate accurate quantification of frothers using benchtop NMR. • Concentrations as low as 1 mg/L are quantified. • Quantification uses benchtop NMR in conjunction with solid phase extraction. • Model-based fitting enhances the accuracy of quantification. • The method is insensitive to interference from diesel and inorganic salts. This paper investigates the use of a benchtop NMR for quantification of a commonly used frothing agent, methyl isobutyl carbinol (MIBC) in the process water of a coal preparation facility. Solid phase extraction is used to increase the concentration of MIBC in the sample so that it is quantifiable by a benchtop NMR. A polymeric, reversed phase column with methanol as solvent gives a MIBC recovery rate of 67 ± 4 % as determined using 400 MHz high-field NMR. The recovery rate consistently falls in the above narrow range even in the presence of diesel and inorganic electrolytes which are likely present as background chemicals in the process water. Using the average MIBC recovery rate, we use a quantum mechanical model to analyse the intensity of MIBC in the benchtop spectra. The quantum mechanical modelling algorithm effectively excludes the effect of the diesel on the measured NMR signal. The quantification error when the inlet concentration of MIBC is between 1 and 12 mg/L (1.2–15 ppm v/v), is within 0.5 mg/L (0.6 ppm v/v). [ABSTRACT FROM AUTHOR]

Integration of mining brownfields into green infrastructure(GI) planning has been widely recognized as a sustainable developmentstrategy. The key is to locate the spatial priority areas for brownfieldrestoration that would provide the greatest enhancement of themultifunctionality of the GI network. At the regional scale, a wellconnectedGI network can help maximize the benefits that it generates andachieve greater multifunctionality. In this paper, an approach forassessing the restoration priority of brownfields is proposed from the perspective of enhancing the structural connectivity of GI network. Itcan also be used as an assistance tool for planning GI networks at theregional level. The Least Cost Path (LCP) model is adopted for mapping corridors among GI patches on the basis of a resistance map composed by considering the naturalness of land covers, the riparian corridor, and disturbance of roads. Taking Fenhe River Basin (in China) as an example, three factors are jointly considered in the priority assessment of brownfields restoration: their potential contribution as corridors, their importance as stepping stones, and their resistance values. Then, we divided the brownfields into groups indicating the level of priority for restoration. The results show that 67% of the brownfields are of high or very high priority for restoration (mainly located in the north), and less than 10% area is recognized as very low or low priority. Our proposed approach could be a valuable tool for providing a macro-scale assessment of restoration priorities of brownfields for enhancing the GI network connectivity, and giving instructions for on-site redevelopment. Image 1 • Brownfields can be restored as potential elements of Green Infrastructure (GI). • The lease cost path model is adopted for simulating the corridors of GI networks. • The restoration priority of brownfields is related to their contribution to GI connectivity. • Post-mining brownfields are evaluated acting as potential stepping stones and corridors. • The proposed method can help planners to develop GI networks at a regional level. [ABSTRACT FROM AUTHOR]

As one of the most important energy resources in the world, coal contributes a great deal to the world economy. Coal mining and processing involve multiple dust generation processes including coal cutting, transport, crushing and milling etc. Coal dust is one of the main sources of health hazard for the coal workers. Exposure of coal dusts can be prevented through administrative controls and engineering controls. Ineffective control of coal dust exposure can harm coal workers' health. Although many efforts have been made to eliminate these threats, recent years have seen an unexpected increase in coal workers' pneumoconiosis (CWP) in Appalachian basin in US. To explore the reasons for this phenomenon, in this review, we first reviewed the historical studies on coal mine dust including the regulation and engineering controls. Then, the effects of coal dust on human health was comprehensively reviewed. Next, the effects of nanoparticles on human health were reviewed, with an emphasis on toxicity of nanoparticles such as carbon nanotubes in other industries. From all this information, we hypothesize that nano-sized coal dust has contributed to the increase of CWP prevalence in recent years. As no research has been reported in this area, four directions which may need further investigation and future studies are recommended in this review. They include: 1) Systematic characterization of physicochemical properties of nano-size coal dust; 2) Toxicity and pathogenesis of nano-sized coal dust; 3) Development of real-time monitoring technology and equipment for nano-sized coal dust; 4) Development of exposure control technology and equipment. The intent of this review paper is to demonstrate the variation of coal dust properties and their impact on the mine worker's health. We suggest that the impact of nano-sized coal mine dust on miner's health has not yet been understood well and further improvements are necessary. [ABSTRACT FROM AUTHOR]

Based on a unique micro-level dataset of 30,689 mining enterprises from 2008 to 2011, this paper uses the non-radial directional distance function (NDDF) to calculate the unified efficiency index (UEI) and energy-environmental performance index (EEI) for China's mining enterprises. The double bootstrap method is then used to test how tax incentive policies affect the UEI and EEI of China's mining enterprises. The results show that: (1) the UEI and EEI of Chinese mining enterprises first decreased and then increased over the sample period; overall, Chinese mining enterprises had low energy and environmental efficiency, especially the coal mining enterprises, private mining enterprises and mining enterprises in the central and western regions. (2) Tax incentives positively affect the energy and environmental efficiency of mining enterprises, especially the efficiency of coal mining enterprises, non-state-owned mining enterprises and mining enterprises in the central and western regions. Our results remain robust after using the propensity score matching estimator (PSM). (3) There is a positive feedback between tax incentives and energy and environmental efficiency, more efficient mining enterprises receive more government incentives. Further analysis shows that although tax incentives do not reduce the total energy consumption of enterprises, reducing the energy consumption of enterprises can improve their UEI and EEI. In addition, R&D investment, profitability and resource taxes all contribute to improving the UEI and EEI of mining enterprises. • The NDDF is used to calculate the UEI and EEI of mining enterprises in China. • How tax incentive policies affect the energy and environmental efficiency is tested. • Chinese mining enterprises had low energy and environmental efficiency. • There is a positive feedback between tax incentives and enterprises' efficiency. [ABSTRACT FROM AUTHOR]