MODIS数据在某地区重度霾天气监测和预报中的应用研究

Application of MODIS Data in Severe Haze Weather Monitoring and Prediction

为了提高重度霾天气监测和预报工作的准确性,提高工作效率,本研究将MODIS数据应用在沈阳市重度霾天气监测和预报中。基于MODIS L1B 1 km遥感数据以及同期环境监测站点与气象观测站的资料,结合沈阳市2016年的重度霾天气,采用6 S辐射传播模型对沈阳市的气溶胶光学厚度(aerosol optical depth, AOD)进行了修正,并集合PM浓度数据建立了反演模型,最后应用此模型对2016年3月16日的一次重度霾过程计算PM的浓度分布并与实况对比,以期证实高分辨率遥感产品在研究与预报沈阳的大气污染方面,尤其是在重度霾的精细化监测预报方面具有潜在的应用价值。

In order to improve the accuracy and efficiency of heavy haze weather monitoring and forecasting, MODIS data is applied to heavy haze weather monitoring and forecasting in Shenyang. Based on the 1 km remote sensing data of MODIS L1 B and the data of environmental monitoring stations and meteorological observation stations in the same period, the aerosol optical depth(AOD) in Shenyang was corrected by using the 6 S radiation propagation model, and PMwas collected combined with the severe haze weather in Shenyang in 2016. The inversion model is established based on the concentration data. Finally, this model is used to calculate PMin a heavy haze process on March 16, 2016 and compared with the actual situation, in order to confirm that the high-resolution remote sensing products have potential application value in the research and prediction of air pollution in Shenyang, especially in the fine monitoring and prediction of severehaze.