Geoinformation technologies to support mining processes

I.V. Sokolov, S. Kornilkov, A. Panzhin
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Abstract

The paper presents the tasks, methods and results of comprehensive research in geoinformatics and in development of raw material base of the mining and metallurgical complex that are conducted at the Institute of Mining of the Ural Branch of the Russian Academy of Sciences. The main objectives of the research include evaluation of methods of information and analytical support for the use of subsurface resources, means and methods of multi-tier processing of geodata, digital modeling of geo-objects and complex geomonitoring; substantiation of methods of complex geomonitoring that ensure the integrated development of subsurface resources of the Earth with a safe level of anthropogenic impact on the geo-environment; development of methods of information and analytical support for subsurface resources to solve the challenges of integrated development of mineral raw materials. As the result, criteria for assessing the protection of mining territories are justified; the intensity of the self-restoration process of areas disturbed by mining operations is estimated; a methodical approach to the accumulation and processing of geodynamic and geoinformation monitoring data from mining territories in mutual geospatial correlation is proposed; a systematization of factors, objects and types of risks in subsoil use that generate negative effect. This approach helps to justify the range of geodata required to assess the probability of a specific type of risk.
支持采矿过程的地理信息技术
本文介绍了俄罗斯科学院乌拉尔分院采矿研究所在地理信息学和采矿冶金综合体原材料基地开发方面开展的综合研究的任务、方法和成果。研究的主要目标包括:评估地下资源利用的信息和分析支持方法、多层次处理地质数据的手段和方法、地质物体的数字建模和复杂地质监测;证实复杂地质监测的方法,确保地球地下资源的综合开发对地质环境的人为影响达到安全水平;开发地下资源的信息和分析支持方法,解决矿产原料综合开发的挑战。其结果是:证明了采矿区保护评估标准的合理性;估算了受采矿作业干扰地区自我恢复过程的强度;提出了在相互地理空间关联中积累和处理采矿区地球动力和地理信息监测数据的方法;对底土利用中产生负面影响的因素、对象和风险类型进行了系统化。这种方法有助于合理确定评估特定类型风险概率所需的地理数据范围。
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