School of Emergency Management and Safety Engineering, China University of Mining and Technology (Beijing), Beijing, 100083, China.
Security Department, University of International Business and Economics, Beijing, 100029, China.
Environ Sci Pollut Res Int. 2023 Jul;30(31):76702-76711. doi: 10.1007/s11356-023-27950-x. Epub 2023 May 29.
In order to study the impact of gas released from coal fire combustion on the spatial-temporal distribution of CO and CH and other greenhouse gas emissions, the impact of regional coal fire on CO and CH emission flux was comprehensively evaluated using Landsat 8 and GOSAT satellite data in Xinjiang. In addition, typical fire areas are selected, a single-channel algorithm is used to invert the surface temperature of the coal field, the spatial distribution of the coal fire area is extracted by setting the threshold, and the influence law of CO and CH emissions in the typical fire area is accurately analyzed. The results show that during 2017-2018, CO and CH emissions in Xinjiang were generally dispersed and locally concentrated, while CO-O and CH-O were at low levels in most regions, fluctuating in the ranges of 0.01 ~ 0.14 g·m·day and 0.001 ~ 0.003 g·m·day, respectively. However, the emission intensity of CO-O and CH-O in coal fire concentrated areas is higher, which are 1.6 ~ 3.8 g·m day and 0.013 ~ 0.026 g·m·day, respectively. CO-F and CH-ag have similar laws. The fire area of Daquan Lake is scattered, and there are four areas with the surface temperature over 35 °C: A, B, C, and D, respectively. The Sandaoba fire area is more concentrated, and only two areas are E and F when the surface temperature exceeds 35 °C. CO and CH released by burning in Daquan Lake and Sandaoba fire areas increased CO-F and CH-ag by 2.08 and 0.89 times, respectively. The results provide a reference for coal fire control and carbon emission reduction.
为研究煤火燃烧释放气体对 CO 和 CH 等温室气体排放的时空分布影响，利用 Landsat 8 和 GOSAT 卫星数据，综合评估了新疆区域煤火对 CO 和 CH 排放通量的影响。此外，选取典型火区，采用单通道算法反演煤田表面温度，设置阈值提取煤火区的空间分布，准确分析典型火区 CO 和 CH 排放的影响规律。结果表明，2017-2018 年新疆 CO 和 CH 排放整体呈分散局部集中的特征，而 CO-O 和 CH-O 大部分区域均处于低值，分别在 0.010.14 g·m·day 和 0.0010.003 g·m·day 范围内波动，而煤火集中区 CO-O 和 CH-O 的排放强度较高，分别为 1.63.8 g·m·day 和 0.0130.026 g·m·day。CO-F 和 CH-ag 具有相似的规律。大泉湖火区较为分散，存在 A、B、C、D 四个表面温度超过 35℃的区域；三道坝火区较为集中，表面温度超过 35℃时仅有 E、F 两个区域。大泉湖和三道坝燃烧释放的 CO 和 CH 分别使 CO-F 和 CH-ag 增加了 2.08 倍和 0.89 倍。研究结果为煤火治理和碳减排提供了参考。
