Relevance of building site categories implementation into the land use plan in underground mining area in the region of Petrvald (Czech Republic)

Deep mining of mineral resources causes extensive changes in rock environment and ground morphology and must be considered in the land use planning. Subsidence as a result of underground mining activities in terrains is one of the serious geological hazards because they can effect slopes and damage engineering structures, settlement areas, natural lakes and allow infiltration of contaminant into the groundwater. The main aim of this article was implementation of the building site categories of underground mining regions into the land use plans. This case study area was selected from the region of Orlova town within the Ostrava-Karvina Coal district, and this region is one of the most affected areas by underground mining of black coal in the Czech Republic. Certain risk categories of land, where the individual categories express generalized influence of deep mining of coal in current and planned constructions were also represented in this article. Extensive variations caused by underground mining were identified within a wide variability of risk categories. An important finding was also the extensive variability over time, manifested by spatial variations in the stated categories in the studied time periods. Moreover, technical documentation of environmental impacts related to underground mining activities was provided; importance of existing and proposed underground mining projects that may significantly impact the land use was discussed and pointed out in this article, especially.     

Mapping and detection of land use change in a coal mining area using object-based image analysis

Object-based image analysis was used to map land use in the Panxie coal mining area, East China, where long-term underground coal mines have been exploited since the 1980s. A rule-based classification approach was developed for a Pleiades image to identify the desired land use classes, and the same rule-based classification strategies, after the threshold values had been modified slightly, were applied to the Landsat series images. Five land use classes were successfully captured with overall accuracies of between 80 and 94%. The classification approach was validated for its flexibility and robustness. Multitemporal classification results indicated that land use changed considerably in the Panxie coal mining area from 1989 to 2013. The urban, coal and coal gangue, and water areas increased rapidly in line with the growth in mine production. Urban areas increased from 9.38 to 20.92% and showed a tendency to increase around the coal mines. From 1989 to 2013 the coal and coal gangue area increased by 40-fold, from 0.02 to 0.58%. Similarly, the water area increased from 2.77 to 7.84% over this time period, mainly attributable to the spread of waterlogged areas. The waterlogged areas increased to about 2900 ha in 2013, which was about 80 times more than their area in 1989. In contrast, the area of cultivated land was negatively related to the increase in mine production and decreased from 73.11 to 57.25%. The results of this study provide a valuable basis for sustainable land management and environmental planning in the Panxie coal mining area.     

可拓理论在矿区土地破坏程度评价中的应用

将矿区破坏土地、评价指标、指标现状结合为一体,利用可拓集理论,通过关联函数,给出了各评价指标影响矿区土地破坏程度的量化描述,进而确定了所选矿区土地的破坏程度,并结合Arcmap软件精确确定了不同破坏程度土地的面积;采用了集值统计的方法确定了物元特征权重,从而提高了评价的精确性;科学地确定了评价单元划分要求,使得评价结果更能指导实际工作,评价结果能够为矿区破坏土地的合理利用提供有利的依据,同时也证明了可拓理论在矿区土地破坏程度评价中的应用是可行的。     

宜昌磷矿地下开采岩体移动分析

根据宜昌磷矿开采引起上部地表变形及岩体开裂的工程实际情况,在实测资料统计分析基础上,建立了高陡山区地下开采岩体移动变形预测分析模型,并给出了岩体变形破坏的极限值。利用该模型对宜昌磷矿区开采引起岩体变形及山体失稳现象进行了分析。通过工程实例分析表明,理论预计结果与现场实测结果吻合。     

The definition of potential infiltration areas in Guaratinguetá watershed, Paraíba do Sul Basin, Southeastern Brazil: an integrated approach using physical and land-use elements

This work describes the methodological approach used for mapping the potential infiltration areas of the Guaratinguetá watershed (160?km²), situated in Southeastern Brazil. The method is considered a qualitative approach, which takes into account thematic maps (geology, pedology, geomorphology, and land use/land cover) and the precipitation spatial distribution. A group of experts in Earth Sciences and Geotechnical Engineering has applied an infiltration potential scale factor that ranges from 5 (highest influence) to 1 (lowest influence). The final infiltration map was produced using several ArcGIS^? tools. The results showed that the most suitable (very high) infiltration areas represent only around 7% of the watershed area, which are associated with smooth and gentle hills, fluvial Tertiary sediments and yellow oxisols. However, growing impacts caused by land farming and urban developments require urgent planning for this region. Areas with high to moderate capacity of infiltration represent around 56% of the watershed and are found in the domain of igneous-metamorphic rocks associated with steep hill-slopes and relatively well-preserved forest fragments. This region requires a land-use strategy, such as reforestation programs, in order to increase the infiltration capacity of the watershed.     

Assessment of ground subsidence hazard near an abandoned underground coal mine using GIS

This study constructs a hazard map for ground subsidence around abandoned underground coal mines (AUCMs) at Samcheok City in Korea using a probability (frequency ratio) model, a statistical (logistic regression) model, and a Geographic Information System (GIS). To evaluate the factors related to ground subsidence, an image database was constructed from a topographical map, geological map, mining tunnel map, Global Positioning System (GPS) data, land use map, lineaments, digital elevation model (DEM) data, and borehole data. An attribute database was also constructed from field investigations and reports on the existing ground subsidence areas at the study site. Nine major factors causing ground subsidence were extracted from the probability analysis of the existing ground subsidence area: (1) depth of drift; (2) DEM and slope gradient; (3) groundwater level, permeability, and rock mass rating (RMR); (4) lineaments and geology; and (5) land use. The frequency ratio and logistic regression models were applied to determine each factor’s rating, and the ratings were overlain for ground subsidence hazard mapping. The ground subsidence hazard map was then verified and compared with existing subsidence areas. The verification results showed that the logistic regression model (accuracy of 95.01%) is better in prediction than the frequency ratio model (accuracy of 93.29%). The verification results showed sufficient agreement between the hazard map and the existing data on ground subsidence area. Analysis of ground subsidence with the frequency ratio and logistic regression models suggests that quantitative analysis of ground subsidence near AUCMs is possible.     

综合电参数在采煤地区拟建城市区地质结构识别及其评价研究

贵州黔西北地区煤矿资源丰富,因由于煤矿开采导致城市地下地质结构变化而引发安全问题。城市地下空间是城市未来发展的重要增长极,拟建城市规划区地下空间地质结构的识别及评价工作极为重要。文中提出基于电场理论、采空区氧化还原环境及煤区地质规律,综合电阻率、电流、自然电位等多个电参数对采煤区拟建城市区地质结构快速识别的方法,并对强风化层、老窑采空区、煤矿采空区等地质结构特征进行评价,取得成果与实地踏勘、已有工程一致,可为城区建设场地地质灾害危险性评价和地下空间开发利用提供重要依据。该方法具有无损、高效、绿色、低成本等优势,值得进一步研究推广。     

Prediction of ground subsidence in Samcheok City,Korea using artificial neural networks and GIS

This study shows the construction of a hazard map for presumptive ground subsidence around abandoned underground coal mines (AUCMs) at Samcheok City in Korea using an artificial neural network, with a geographic information system (GIS). To evaluate the factors governing ground subsidence, an image database was constructed from a topographical map, geological map, mining tunnel map, global positioning system (GPS) data, land use map, digital elevation model (DEM) data, and borehole data. An attribute database was also constructed by employing field investigations and reinforcement working reports for the existing ground subsidence areas at the study site. Seven major factors controlling ground subsidence were determined from the probability analysis of the existing ground subsidence area. Depth of drift from the mining tunnel map, DEM and slope gradient obtained from the topographical map, groundwater level and permeability from borehole data, geology and land use. These factors were employed by with artificial neural networks to analyze ground subsidence hazard. Each factor’s weight was determined by the back-propagation training method. Then the ground subsidence hazard indices were calculated using the trained back-propagation weights, and the ground subsidence hazard map was created by GIS. Ground subsidence locations were used to verify results of the ground subsidence hazard map and the verification results showed 96.06% accuracy. The verification results exhibited sufficient agreement between the presumptive hazard map and the existing data on ground subsidence area. An erratum to this article can be found at     

软岩矿区地面下沉及其对工业建筑物影响分析

根据鲁中软岩矿区开采引起地面下沉及地面井塔楼等建筑物倾斜变形的工程实际,采用非确定性研究方法,将深埋破碎金属矿体开采引起地面沉陷或岩体移动变形这一客观现象视为一随机事件,建立了开采引起地面沉陷或岩体移动变形分析的数学模型。利用该模型可对开采引起地面沉陷及其对地表工业建筑物影响进行具体分析评价。通过具体计算分析结果表明,在软岩地层条件下矿体开采地表移动变形的影响范围有随着采深的增加而逐渐增大的趋势。     

Mapping landslide susceptibility in Travis County, Texas, USA

A geographic information system (GIS) was used to construct a landslide hazard map for Travis County, Texas. The County is experiencing rapid growth, and development has encroached into unstable terrain that is vulnerable to landslides. Four layers of data were superimposed to create the landslide hazard map. Slope was given the most emphasis, followed by geology, vegetation, and proximity to faults. The final map shows areas of low, medium, and high landslide susceptibility. Areas of high susceptibility occupy stream and reservoir banks, rock escarpments, and agricultural land. The landslide hazard map can be a useful geologic criterion for land use planning. Planners can use the map to allocate appropriate land uses to unstable terrain, and to identify existing structures at risk from landslide activity. The methods presented in this paper can be adapted to other counties in the U.S. and elsewhere. Results of this study suggest that geographic information systems can effectively compile and overlay several data layers relevant to landslide hazards.     

Evaluation of engineering-geological conditions for conurbation of Ostrava (Czech Republic) within GIS environment

The main aim of the presented study was to create a new type of engineering-geological maps for relative costs for foundation engineering. The newly proposed map in this paper can replace the formerly used maps of the suitability for foundation engineering which shows only the suitable and/or unsuitable sites and suggests the use of suitable areas for construction only. However, there are developed technologies that they can overcome the potential problems in unsuitable areas by relatively high costs. It means that unsuitable areas can also be used as construction areas. Therefore, the use of the newly proposed map of relative costs, which reflects the complexity of geo-factors by proportional category of larger, or smaller relative costs is satisfactory. Another part of this research was to assess various geo-factors (engineering-geological zones, workability of rocks, pre-Quaternary bedrock, flood land, radon hazard, mining subsidence and slope movements), which affect the foundation of future buildings. This study was carried out in the large industrial city of Ostrava in the Czech Republic with complicated engineering geological conditions and high anthropogenic influence factors including undermining. The use of complicated relationships is also generally difficult to be taken into account by the planners. Therefore, the use of the newly created synthetic map by planners is simple; even planners who are not geologists will be able to apply it easily.     

山东省日照市蓝色经济区工程建设适宜性评价

本文以山东省日照市蓝色经济区为研究区, 通过野外地质调查和室内综合分析, 选取场地稳定性、工程地质条件、地下水条件, 地形排水条件、地质灾害及其他因素6个一级评价因子, 构造活动、场地土类型、建筑场地类别等13个二级评价因子, 利用专家-层次分析定权法进行区内工程建设适宜性评价, 得到了相应工程建设评价分区图。评价结果表明, 日照市场地工程建设适宜性总体较好, 大部分地区适宜进行高层建筑工程建设, 占84.50%; 地下空间开发利用条件优越, 全区多数地区属于城市地下空间建设适宜区, 适宜性差及不适宜区主要分布在付疃河两岸附近和海岸附近、大型高速公路和铁路沿线一带区域及城区; 轨道交通建设适宜性良好, 小部分不适宜区主要集中在付疃河下游夹仓和小古镇一带及其沿海地区。评价结果可有效地服务于该地区规划布局、建设发展和工程选址, 具有重要的理论和实践指导意义。     

基于AHP-熵权法的采动区煤层气开发潜力评价

采动区煤层气抽采利于高效开发采煤工作面卸压煤层气,降低井下瓦斯安全风险,但地质条件、煤炭采掘条件的差异使得地面井开发效果差异较大,因此,对预备采区进行选区评价具有指导意义。为了探索煤矿采动区煤层气高效开发的选区方式,通过建立一票否决制度及评价指标体系、结合层次分析法及熵权法确定指标权重、最后量化计算综合得分的方法,建立一套完整的采动区煤层气开发潜力评价体系,并应用于铁法矿区晓南矿。结果显示,研究区16个规划采区中有4个得分大于0.6,建议进行采动区煤层气开发;同时,评价结果排序靠前的单元净收益也较高,且处于矿区内煤层气赋存有利构造区域,与评价结果相吻合,验证了评价结果的合理性。综合认为,采用层次分析–熵权法组合权重的评价结果更为合理,有效避免了采动区煤层气选区开发的盲目性,评价结果具备一定实际工程开发部署及经济效益参考价值。      

构造环境对煤矿区地表环境灾害的控制作用

在不同构造环境下,同样强度的地下采矿活动在地表所造成的环境灾害现象是有明显差异的。在不同构造条件的煤矿区,地质环境的抗扰动能力不同,因而对地下开采的承载能力也就不同。抗扰动能力强的煤矿区可以承受较大的开采强度,而抗扰动能力差的煤矿区,同样强度的地下开采,就会导致严重的地表损害甚至环境灾害。从这个意义上说,与地下采矿有关的煤矿区地表环境灾害,源于采动,但其形式与发展受控于构造环境。      

Achieving to some outranking relationships between post mining land uses through mined land suitability analysis

Adoption of most suitable post mining land use is a problem with multi-dimensional nature. There are so many factors in this problem which seriously influence on the decision judgments. Therefore, in this study a fifty-attribute framework for mined land suitability analysis including fifty numbers of economical, social, technical and mine site factors developed to be a foundation for this decision making problem. Analysis by an outranking multi-attribute decision-making technique, called elimination et choix traduisant la realite method, was taken into consideration because of its clear advantages on the field of mined land suitability analysis as compared with multi-attribute decision-making ranking techniques. Analytical hierarchy process method applied to calculate global weights of the attributes through pair wise comparison matrixes. The weights then passed to the elimination et choix traduisant la realit method so that the most efficient post mining land uses could be appointed through comparisons of pair-wise dominance relationships between alternatives. This approach applied to an illustrative example where, final results showed that, there were two non-dominated land-uses for the considered example; industrial and pasture. However by increasing indifference threshold limit, the non-dominated set reduced to a single alternative that was pasture land-use.     

利用煤炭开发地下空间储能的技术路径与地质保障

煤炭资源在我国能源结构中仍处于主体地位,但煤炭工业发展面临着“碳达峰碳中和”的新挑战。积极发展煤炭开发地下空间储能技术,是推动能源利用低碳化和清洁化的有效手段,也是保证我国能源战略安全的关键措施。结合当前储能技术,探讨了煤炭开发地下空间的利用现状,围绕利用煤炭开发地下空间抽水蓄能、热储能、压缩空气储能、电化学储能、生物质储能等储能新技术,重点阐述废弃矿井不同能源类型的储能理念及方式,系统分析储能过程中面临的地质保障关键技术难题。煤炭开发地下空间储能新技术总体思路为：利用煤炭开发地下空间所具有的低位势能差,将其用作梯级储水库(抽水蓄能);或直接将其用作储质、储能空间(热储能、压缩空气储能、电化学储能、生物质储能),既可提升煤炭开发地下空间资源的开发利用率,又可避免土地资源浪费,尽量降低对生态环境的扰动。虽然煤炭开发地下空间可作为大规模储能库,但其开发利用过程仍存在一些亟待解决的地质问题以及地质保障技术。主要包括：(1)地质条件与选址适宜性分析和安全性评价,即对储能空间的地质因素进行岩土工程性质和环境地质条件的系统研究,查明储能空间稳定性主控因素及其权重,构建选址指标体系与评价方法,重点查...     

高陡山区房柱法开采岩体移动预测及山体失稳判据

在实测资料统计分析基础上,以概率理论为基础,建立了高陡山区房柱法地下开采岩体移动变形预测分析模型,并给出了岩体变形破坏的极限值。利用本模型对山区地下开采工程实例进行了具体的计算分析,通过工程实例分析说明,理论预测结果与现场实测结果吻合。     

资源型城市矿业废弃地分类与再利用模式

资源型城市的粗放发展模式已不能适应当前城市绿色发展的要求,矿业废弃地严重阻碍了资源型城市的转型发展进程,如何对矿业废弃地进行合理再利用成为资源型城市转型亟待解决的问题。以我国262个资源型城市为案例地,筛选出117个矿业废弃地改造项目。根据矿区的内源性因素,划分出地表形态、分布区位、矿产类型3大类别,并剖析各个类别的特点;基于生态-经济-社会效益视角,归纳出7类再利用模式和10种改造方向;综合考虑战略任务、发展需求及再利用目标3方面的因素,提出矿业废弃地综合再利用思路。     

Advanced techniques in site characterization and mining hazard detection for the underground coal industry

Today's highly productive coal mining systems represent large capital investments. Careful geotechnical planning and design are essential to protect these systems and to help ensure their overall success. Too often, however, the ability of the mine operator to adequately characterize the geotechnical environment and keep up with changing geologic conditions lags the advance rate of the mining equipment. Seismic tomographic imaging, based on the same principles as medical Computer-Aided-Tomography (CAT) Scans, offers the ability to identify changing geologic conditions, loading patterns, and the location of nearby abandoned mine workings. Although seismic tomography has been used for many years in the oil industry, until recently its practicality in the mining industry has been limited because the processes involved interfered with mining productivity and were labor-intensive in terms of data collection and interpretation. New advancements in signal processing have greatly enhanced the speed, resolution, and range of applications of tomographic imaging in underground coal mine settings.Many tomography applications in the mining industry use seismic velocity and/or attenuation tomography within a volume enclosed by the seismic source and receiver array. Although results obtained using this geometry work well in many situations, recent developments in reflection tomography show promise in eliminating the requirement that the target volume be surrounded by sources/receivers. For example, in-seam seismic reflection tomography may now be used to image structures and/or old workings from one general location in the mine (e.g., face areas of mains and panel developments) well ahead of planned developments—largely eliminating the need to probe-hole drill on regular intervals. These new developments have greatly expanded the ability of the mine operator to cost-effectively characterize previously inaccessible areas of the property.This paper gives an overview of the theories and processes involved in seismic tomography applicable to coal mine settings. Recent examples are presented of tomographic imaging applied to a variety of coal mine ground control problems and old works detection in the United States and Europe. The applicability of both seismic refraction and seismic reflection tomography is discussed.     

我国矿区棕地综合治理及再利用

矿区土地治理与再利用是一项紧迫的任务,由于多年的矿产开采,导致矿区的大面积土地破坏和废弃,土壤及地下水污染,从而形成了矿区棕地并造成大量的土地价值损失,加剧了矿区的人地矛盾。因此,研究棕地这一类特殊土地的再利用对于矿区的可持续发展具有重要的现实意义。通过分析国内外矿区棕地研究相关理论与方法,结合我国矿区棕地的现状,探讨了矿区棕地综合治理的方案和措施。建议我国矿区棕地治理和再利用方案框架可划分为调查评价、生态修复和土地复垦与景观再造3个阶段:调查评价阶段主要包括棕地土壤环境质量评价与可持续利用评价;生态修复阶段可选择适宜的技术方法进行污染土壤和地下水修复;土地复垦与景观再造阶段是根据矿区棕地类型及分布特点,因地制宜,进行棕地复垦和综合治理利用。同时讨论了每个阶段的主要工作内容和措施,比较了不同修复技术方法的优劣,给出了我国矿区棕地复垦和综合利用的模式建议。