中国是少数几个能源结构以煤炭为主的发展中国家，空气污染属典型的煤烟型大气污染，合理利用煤炭资源，大力发展洁净煤技术是我国能源的时代要求。本申请项目以煤中灰分（矿物质）、硫分、有害微量元素等有害物质为研究对象，以煤炭燃前加工利用的重介、浮选、浮选柱等选煤工艺为载体，采用共聚焦显微镜、电子显微镜、各类微区探针技术、X光技术、等离子质谱等现代测试技术，系统探讨煤中有害物质的煤炭资源赋存分布以及在加工利用过程中的赋存迁移分布规律，深入探讨有害物质的埋葬煤层和加工利用中的富集、嵌布及迁移模式，构建综合洁净潜力指标，评价不同类型不同区域煤的洁净潜力，利用数理统计、数学地质及地理信息等方法与技术，以大数据云计算揭示洁净潜力时空分布。研究成果为洁净煤工艺及煤炭分质分级的合理利用提供科学依据。

China is one of seldom developing countries taken coal as main energy in energy structure, and its air pollution belongs to typical coal-burning air pollution. It is the times requirements of Chinese energy to rapid develop clean coal technology for making reasonable utilizaiton in coal resoures. In this project, some hazardous substances in coal, ash (mineral matter), sulfur, and trace elements, were selected, the distribution characteristics of these coals with hazardous substances and occurrence conversion, and distribution regularities of these hazardous substances during coal procession and utilization were systematically discussed during coal preparation process before combustion by using some modern analytical methods: confocal microscopy, electron microscopy, micro-probe techniques, X-light technique, and ICP-MS, etc. Various coal preparation technologies were used, such as heavy-medium, and flotation, etc. Meanwhile, the modes of enrichment, dissemination and migration of these hazardous subatances in burial coal bed and coal procession and utilization were studied and the cleaning potentials of different type coals and different regional coals were deeply evaluated by establing synthesized cleaning potential parameters. The spatial and temporal distributions characteristics of coal cleaning potential were investigated by using big data/cloud computing combined with some methods, mathematical statistics, mathematical geology, and geographic information technology. These work results can provide scientific foundation for choosing clean coal technology and making reasonable usage of different quality coals and different grade coals in Chinese coal resources.