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Spatio-temporal variation and propagation direction of coal fire in Jharia coalfield,India by satellite-based multi-temporal night-time land surface temperature imaging

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International Journal of Mining Science and Technology 2021年第5期31卷 765-778页

作者： Narendra Singh R.S.Chatterjee Dheeraj Kumar D.C.Panigrahi Department of Mining Engineering Indian Institute of Technology(Indian School of Mines)Dhanbad 826004India Geosciences Department Indian Institute of Remote SensingDehradun 248001India

In this paper,the spatio-temporal variation and propagation direction of coal fire were studied in the Jharia coalfield(JCF),India during 2006–2015 through satellite-based night-time land surface temperature(LST)*** LST was retrieved from Advanced Spaceborne Thermal Emission and Reflection Radiometer(ASTER)night-time thermal-infrared data by a robust split-window algorithm based on scene-specific regression coefficients,band-specific hybrid emissivity,and night-time atmospheric *** LST-profile-based coal fire detection algorithm was formulated through statistical analysis of the LST values along multiple transects across diverse coal fire locations in the JCF in order to compute date-specific threshold temperatures for separating thermally-anomalous and background *** algorithm efficiently separates surface fire,subsurface fire,and thermally-anomalous transitional *** the observation period,it was noticed that the coal fire area increased significantly,which resulted from new coal fire at many places owing to extensive opencast-mining *** was observed that the fire propagation occurred primarily along the dip direction of the coal *** places,lateral-propagation of limited spatial extent was also observed along the strike direction possibly due to spatial continuity of the coal seams along ***,the opencast-mining activities carried out during 2009–2015 and the structurally weak planes facilitated the fire propagation.

关键词： Satellite-based night-time imaging Land surface temperature coal fire Spatio-temporal variation Propagation direction Jharia coalfield

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Retrieval and Analysis of coal fire Temperature in Wuda coalfield, Inner Mongolia, China

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Chinese Geographical Science 2011年第2期21卷 159-166页

作者： JIANG Weiguo ZHU Xiaohua WU Jianjun GU Lei MA Guobin LIU Xiaochen State Key Laboratory of Earth Surface Processes and Resource Ecology Beijing Normal University Beijing 100875 China Key Laboratory of Environmental Change and Natural Disaster Beijing Normal University Beijing 100875 China Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China College of Resources Environment & Tourism Capital Normal University Beijing 100048 China

coal fire burning around the world is an environmental catastrophe characterized by the emission of noxious gases, particulate matter, and condensation by-products. In this study, coal fire temperature is retrieved based on Landsat 5 TM images and Generalized Single-Channel Algorithm (GSCA), in Wuda coalfield, Inner Mongolia, China. Then coal fire zones are extracted by Jenks′ natural breaks and threshold methods based on temperature images. Changes of coal fire zones are analyzed from 1989 to 2008. The results are summarized as follows: 1) The coal fire temperature retrieval method based on Landsat 5 TM and the GSCA model is effective and feasible, because the temperature error is relatively small (from –2.9℃ to +2.6℃) between the measured temperature and the retrieved temperature. 2) The accuracy is relatively high to extract coal fire zones through the Jenks′ natural breaks and threshold methods, because 83.56% of surveyed area is located in the coal fire zones extracted in 2005. 3) The coal fire area increased 9.81 × 10 5 m 2 from 1989 to 2005, and the annual growth is about 6.1 × 10 4 m 2 , with an annual increasing rate of 2.48%. The area of coal fire decreased by 8.1 × 10 5 m 2 from 2005 to 2008.

关键词： coal fire temperature retrieving Generalized Single-Channel Algorithm Landsat 5 TM Wuda coalfield Inner Mongolia

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Monitoring coal fires in Datong coalfield using multi-source remote sensing data

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Transactions of Nonferrous Metals Society of China 2015年第10期25卷 3421-3428页

作者：汪云甲田丰黄翌王坚魏长婧中国矿业大学环境与测绘学院徐州221116 中国矿业大学江苏省资源环境信息工程重点实验室徐州221116

Numerous coal fires burn underneath the Datong coalfield because of indiscriminate *** TM/ETM,unmanned aerial vehicle（UAV）,and infrared thermal imager were employed to monitor underground coal fires in the Majiliang mining *** thermal field distributions of this area in 2000,2002,2006,2007,and 2009 were obtained using Landsat TM/*** changes in the distribution were then analyzed to approximate the locations of the coal *** UAV imagery employed at a very high resolution（0.2 m）,the texture information,linear features,and brightness of the ground fissures in the coal fire area were *** these data were combined to build a knowledge model of determining fissures and were used to support underground coal fire *** infrared thermal imager was used to map the thermal field distribution of areas where coal fire is *** were analyzed to identify the hot spot trend and the depth of the burning point.

关键词： Landsat unmanned aerial vehicle infrared thermal imager coal fire Datong coalfield remote sensing

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Environmental problems in a coal mining area affected by coal fires——A case study in Ruqigou coalfield,Ningxia,China

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Journal of Environmental Sciences 1999年第1期11卷 27-36页

作者： Chen Li ding Research Center for Eco Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China

１ＩｎｔｒｏｄｕｃｔｉｏｎＡｓｏｎｅｏｆｔｈｅｍｏｓｔｉｍｐｏｒｔａｎｔｓｏｕｒｃｅｓｆｏｒｐｏｗｅｒｇｅｎｅｒａｔｉｏｎ，ｃｏａｌｍｉｎｉｎｇｉｎｄｕｓｔｒｙｉｓｓｔｉｌｉｎｃｒｅａｓｉｎｇｗｉｔｈｐｏｐｕｌａｔｉ... 详细信息

１ＩｎｔｒｏｄｕｃｔｉｏｎＡｓｏｎｅｏｆｔｈｅｍｏｓｔｉｍｐｏｒｔａｎｔｓｏｕｒｃｅｓｆｏｒｐｏｗｅｒｇｅｎｅｒａｔｉｏｎ，ｃｏａｌｍｉｎｉｎｇｉｎｄｕｓｔｒｙｉｓｓｔｉｌｉｎｃｒｅａｓｉｎｇｗｉｔｈｐｏｐｕｌａｔｉｏｎｇｒｏｗｔｈａｎｄｅｃｏｎｏｍ...

关键词： Ruqigou coalfield coal mining coal fire environmental problems land degradation.

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