Abstract

Coal fires are a common and serious problem in most coal-bearing countries. Thus, it is very important to monitor changes in coal fires. Remote sensing provides a useful technique for investigating coal fields at a large scale and for detecting coal fires. In this study, the spreading direction of a coal fire in the Wuda Coal Field (WCF), northwest China, was analyzed using multi-temporal Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper (ETM+) thermal infrared (TIR) data. Using an automated method and based on the land surface temperatures (LST) that were retrieved from these thermal data, coal fires related to thermal anomalies were identified; the locations of these fires were validated using a coal fire map (CFM) that was developed via field surveys; and the cross-validation of the results was also carried out using the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) thermal infrared images. Based on the results from longtime series of satellite TIR data set, the spreading directions of the coal fires were determined and the coal fire development on the scale of the entire coal field was predicted. The study delineated the spreading direction using the results of the coal fire dynamics analysis, and a coal fire spreading direction map was generated. The results showed that the coal fires primarily spread north or northeast in the central part of the WCF and south or southwest in the southern part of the WCF. In the northern part of the WCF, some coal fires were spreading north, perhaps coinciding with the orientation of the coal belt. Certain coal fires scattered in the northern and southern parts of the WCF were extending in bilateral directions. A quantitative analysis of the coal fires was also performed; the results indicate that the area of the coal fires increased an average of approximately 0.101 km2 per year.

Highlights

  • Coal fires are defined as the spontaneous combustion of coal due to coal oxidation

  • Based on the multi-temporal satellite data, we identified the coal fire spreading direction by stacking the coal fires that were identified in the satellite data from every two successive years using the stacking analysis technique, which analyzes the images in sequence with the help of the Geographic Information System (GIS) software (ArcGIS, ESRI Inc., Redlands, CA, USA)

  • The coal fire map was obtained from the long time series Landsat band 6 data and Terra ASTER data using the threshold setting technique, and this map was validated using the CFM that was produced by the field survey

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Summary

Introduction

Coal fires are defined as the spontaneous combustion of coal due to coal oxidation. Many researchers have noted that the ability to react with oxygen at ambient temperatures may be enhanced by the potential for coal spontaneous combustion [1,2]. Surface and underground coal fires have received great attention from researchers due to the threats they pose to non-renewable resources, local environment and regional climate. These uncontrolled fires are a common problem and are widely reported from most coal-bearing countries of the world, such as the USA, China, India, Australia, Russia, South Africa and Indonesia, among others

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