Name
Title | ||
|---|---|---|
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 |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ACCESS.2019.2952363 | IEEE ACCESS |
Keywords | DocType | Volume |
Coal fire monitoring, subsidence information, InSAR, spatio-temporal analysis | Journal | 7 |
ISSN | Citations | PageRank |
2169-3536 | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| jinglong Liu | 1 | 0 | 0.34 |
| Yunjia Wang | 2 | 71 | 15.63 |
| Yi Li | 3 | 0 | 0.34 |
| Libo Dang | 4 | 0 | 0.34 |
| Xixi Liu | 5 | 0 | 0.34 |
| Hongfeng Zhao | 6 | 0 | 0.34 |
| Shiyong Yan | 7 | 5 | 2.92 |