石河子市PM_(2.5)浓度的遥感反演研究

Remote Sensing Estimation Model of PM_(2.5) Mass Concentration in Shihezi City

大气悬浮细颗粒物PM_(2.5)已成为中国各大城市的首要空气污染问题,快速了解其浓度及空间分布状况,对于控制PM_(2.5)质量浓度、提高空气质量具有重要意义。以石河子市为研究区,利用HJ-1 CCD影像,通过暗像元法、6S模型反演气溶胶光学厚度,结合DTF-6太阳光度计数据进行验证,然后根据AOD与PM_(2.5)之间的统计关系建立符合研究区实际特点的PM_(2.5)反演参数和算法,建立遥感反演模型获取PM_(2.5)的空间分布。结果表明:PM_(2.5)浓度反演结果的平均绝对误差为0.93 ug/m3,反演精度较高,石河子市PM_(2.5)的空间分布呈现北低南高,西低东高的特点。

PM2.5 has become the main air pollution problem in China＇s major cities. It is very important for the air quality to know the concentration and spatial distribution of PM2.5. Taking Shihezi City as the study area, using the image of HJ- 1 CCD, the aerosol optical depth in the study area was retrieved by the dark pixels method and 6S model. It was verified with DTF - 6 au- tomatic solar photometer data. Then according to the statistic relationship between AOD and PM2.5 , the PM2.5 retrieval parameters and algorithms were established to obtain the spatial distribution of PM2.5 by using the remote sensing inversion model. The results show that the average absolute error of PM2.5 retrieval is 0. 93 ug/m3 and the retrieval precision is accurate. The spatial distribu- tion characteristics of PM2.5 in Shihezi City show that the northern part is much lower than the southern part and the eastern part is higher than the western part.