| R/S Analysis and its Application in the Forecast of Mine Inflows |
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| 引用本文： | YANG Yong-guo YUAN Jian-fei CHEN Suo-zhong. R/S Analysis and its Application in the Forecast of Mine Inflows[J]. 中国矿业大学学报(英文版), 2006, 16(4): 425-428. DOI: 10.1016/S1006-1266(07)60040-6 |
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| 作者姓名： | YANG Yong-guo YUAN Jian-fei CHEN Suo-zhong |
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| 作者单位： | School of Resources and Earth Sciences, China University of Mining ＆ Technology, Xuzhou, Jiangsu 221008, China |
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| 摘 要： | 1 Introduction As the first and foremost energy source of China, the irreplaceable role of coal will be played in the national economy for quite a long time. The hydro- geological conditions of coal mines in China are complicated: Karst water is dominant in coal mines of the Carboniferous and Permian periods in North China and of late the Permian period in South China, while alluvial water dominates the mines of the Qua- ternary period in the Huanghuai Plain. Many mining areas in China, …
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| 关 键 词： | 煤矿 矿业资源 矿业经济 R/S分析 通风 |
| 收稿时间： | 2006-05-25 |
| 修稿时间： | 2006-07-30 |
R/S Analysis and its Application in the Forecast of Mine Inflows |
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| YANG Yong-guo,YUAN Jian-fei,CHEN Suo-zhong. R/S Analysis and its Application in the Forecast of Mine Inflows[J]. Journal of China University of Mining and Technology, 2006, 16(4): 425-428. DOI: 10.1016/S1006-1266(07)60040-6 |
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| Authors: | YANG Yong-guo YUAN Jian-fei CHEN Suo-zhong |
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| Affiliation: | 1. School of Energy Science and Engineering, School of Civil Engineering, Henan Polytechnic University, Jiaozuo 454000, China;2. Collaborative Innovation Center of Coalbed Methane and Shale Gas for Central Plains Economic Region, Jiaozuo 454000, China;3. Opening Project of Key Laboratory of Deep Mine Construction, Henan Polytechnic University, Jiaozuo 454000, China;4. Department of Building, Civil & Environmental Engineering, Concordia University, Montreal H3G 1M8, Canada;5. China Coal Tunnel Engineering Go., LTD, Xuzhou 221000, China;1. Civil Enginnering Technology Divison, Shimizu Corporation, No. 16-1, Kyobashi 2-chome, Chuo-ku, Tokyo 104-8370, Japan;2. Mizunami Underground Research Laboratory, JAEA, 1-64, Yamanouchi, Akiyo-cho, Mizunami-shi, Gifu 509-6132, Japan;3. Horonobe Underground Research Center, JAEA, 432-2, Hokushin, Horonobe-cho, Teshio-gun, Hokkaido 098-3224, Japan;1. Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, China;2. Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China;3. Academy of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing 100875, China;4. School of Environmental Studies, China University of Geosciences, Wuhan 430074, China;5. Department of Biological and Agricultural Engineering and Zachry Department of Civil Engineering, Texas A&M University, College Station, TX, USA;6. Department of Water Resources and Environment, Sun Yat-sen University, Guangzhou 510275, China;1. State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, Beijing, 100083, China;2. Shandong Provincial Key Laboratory of Depositional Mineralization & Sedimentary Minerals, Shandong University of Science and Technology, Qingdao, Shandong, 266590, China;3. Fundamental Science on Radioactive Geology and Exploration Technology Laboratory, East China Institute of Technology, Nanchang, Jiangxi, 330013, China;4. College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing, 100083, China;5. China United Coalbed Methane Corp. Ltd., Beijing, 100011, China;1. State Key Laboratory of Mining Disaster Prevention and Control, Shandong University of Science and Technology, Qingdao 266590, China;2. Shandong Energy Group Co. Ltd., Jinan 250100, China;3. Zhaizhen Coal Mine, Shandong Energy Group Co. Ltd., Tai’an, 271204, China;4. College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266590, China;1. State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400044, China;2. China University of Mining and Technology, Beijing, China;3. Department of Energy and Mineral Engineering, G3 Center and EMS Energy Institute, The Pennsylvania State University, University Park, PA, USA;4. Collaborative Innovation Center of Coalbed Methane and Shale Gas for Central Plains Economic Region, Henan Province, Henan Polytechnic University, Jiaozuo, Henan, China |
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| Abstract: | In this paper, the status quo and modeling principles of R/S analysis of non-linear theory are introduced and reviewed. Given the hydro-geological conditions of the Wutongzhuang coal mine, Hurst exponents of mine inflow for the main shaft, ventilating shaft and auxiliary shaft were obtained using R/S analysis, which are 0.772 0, 0.824 7 and 0.905 1 respectively. Since all of the three Hurst exponents are larger than 0.5, it can be concluded that the trend of mine inflow are a long-term as well as persistent problem. Based on the level of duration, the shafts can be listed in decreasing order as the auxiliary shaft, the ventilation shaft and the main shaft, which appears identical with the actual situation of the mine inflow. With R/S analysis, a new method for long-term forecasting of mine inflows is provided. |
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| Keywords: | R/S analysis Wutongzhuang coal mine mine inflow forecasting Hurst exponents |
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