Underground Coal Fires Identification and Monitoring Using Time-Series InSAR With Persistent and Distributed Scatterers: A Case Study of Miquan Coal Fire Zone in Xinjiang, China

jinglong Liu; Yunjia Wang; Yi Li; Libo Dang; Xixi Liu; Hongfeng Zhao; Shiyong Yan

doi:10.1109/ACCESS.2019.2952363

IEEE Access (Jan 2019)

Underground Coal Fires Identification and Monitoring Using Time-Series InSAR With Persistent and Distributed Scatterers: A Case Study of Miquan Coal Fire Zone in Xinjiang, China

jinglong Liu,
Yunjia Wang,
Yi Li,
Libo Dang,
Xixi Liu,
Hongfeng Zhao,
Shiyong Yan

Affiliations

jinglong Liu: ORCiD; Key Laboratory of Land Environment and Disaster Monitoring, MNR, China University of Mining and Technology (CUMT), Xuzhou, China
Yunjia Wang: Key Laboratory of Land Environment and Disaster Monitoring, MNR, China University of Mining and Technology (CUMT), Xuzhou, China
Yi Li: Key Laboratory of Land Environment and Disaster Monitoring, MNR, China University of Mining and Technology (CUMT), Xuzhou, China
Libo Dang: Key Laboratory of Land Environment and Disaster Monitoring, MNR, China University of Mining and Technology (CUMT), Xuzhou, China
Xixi Liu: College of Information Science and Engineering, Henan University of Technology (HAUT), Zhengzhou, China
Hongfeng Zhao: Comprehensive Geological Exploration Team, Coal Geology Bureau of Xinjiang Uygur Autonomous Region, Urumqi, China
Shiyong Yan: Key Laboratory of Land Environment and Disaster Monitoring, MNR, China University of Mining and Technology (CUMT), Xuzhou, China

DOI: https://doi.org/10.1109/ACCESS.2019.2952363
Journal volume & issue: Vol. 7
pp. 164492 – 164506

Abstract

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The Xinjiang is an important coal production base in China and also a serious coal fire disaster area. Coal fires not only waste resources, but also cause air pollution and damage to the ecological environment. Hence, it is very important to identify and monitor the underground coal fire areas accurately and efficiently for the control of coal fires. Interferometric synthetic aperture radar (InSAR) technology identifies and monitors coal fire areas by monitoring surface subsidence caused by burned out area. Compared with traditional coal fire monitoring technology, InSAR technology has the advantages of all-weather and high efficiency. But the fire areas are often distributed in wild areas, this factor significantly limits the application of the traditional Persistent Scatterer interferometry (PSI) technology. In addition, Xinjiang coal fires are mostly located in historical goafs, so it is necessary to distinguish the subsidence caused by mining and coal fires. Therefore, distributed scatterer interferometry (DSI) technology is used to monitor the Miquan fire area in Xinjiang in this paper. The results show that compared with PSI technology, DSI technology can expand the number of effective monitoring points 124 times. On this basis, spatio-temporal analysis of surface subsidence in the study area suggests that the subsidence caused by mining and coal fires exhibits significantly different space-time evolution rules. Therefore, in the future, the coal fire area and mining area can be separated and identified according to these rules. The final identified coal fire area contains all measured coal fire points, and accurately monitors the fire extinguishing area.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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