高光谱气体背景场特征及震情跟踪应用前景

Backgroud Characteristics of Hyperspectral Gas and Its Application Prospects in Earthquake Tracjing

基于2004—2017年华北地区高光谱数据,计算CH4、CO、O3总量背景场,发现不同气体在时间尺度上受温度、湿度、高空辐射等影响有较明显的周期性特征,在空间尺度上CH4、CO总量平原高于山区,O3总体呈现随纬度升高而降低的特征;利用RST算法对华北地区5.0级以上地震进行震例总结发现,震前62.5%的地震震中附近出现气体高值异常,异常气体主要为CH4、CO,而O3异常不明显。研究结果表明,RST算法对高光谱气体CH4、CO进行异常提取可作为地震预报的辅助依据,服务于震情跟踪判定。

Based on hyperspectral data of North China in 2004-2017, we calculate the total background field of CH 4, CO, O 3.They have obvious periodic characteristics on the time scale, which are mainly affected by temperature, humidity, high-altitude radiation, etc.On the spatial scale, the total amount of CH 4 and CO of plain is higher than that of the mountainous area, and O 3 generally shows the characteristics of decreasing with increasing latitude.It was found that 62.5% earthquake had a high value anomaly near the epicenter, the abnormal gases are mainly CH 4 and CO, and the O 3 anomaly is not obvious by summarization of earthquake cases of M S5.0 earthquakes in North China on RST algorithm.It is considered that the abnormal extraction of hyperspectral gas CH 4 and CO by RST algorithm can be used as an auxiliary basis for earthquake prediction, and serve the earthquake tracking decision.