摘要
利用MODIS气溶胶光学厚度产品AOD,结合地面台站气象观测数据和WRF模式气象模拟数据,对徐州环境监测国控级别站点的近地面PM_(2.5)质量浓度进行反演。根据不同气象要素在反演过程中的相关程度,对气象观测数据和WRF模拟数据在遥感反演中的效果进行分析评估。结果表明,气象观测值和WRF模拟气象数据均能有效应用于PM_(2.5)的遥感反演,在气象观测数据时空覆盖度较低的情况下,能够使用WRF模拟数据进行有效替代,为不同来源的气象数据对PM_(2.5)反演应用研究提供依据和参考。
Based on MODIS aerosol optical depth product, combined with meteorological observation data of ground stations and WRF model meteorological data, the PM_(2.5) mass concentration of Xuzhou environmental monitoring station was reconstructed in this paper. And according to the correlation degree of different meteorological elements in the inversion process, the effects of meteorological observation data and WRF simulation data in remote sensing inversion were analyzed and evaluated. The results show that the meteorological observation and WRF simulation data can be effectively applied to the remote sensing inversion of PM_(2.5), and under the objective condition of low coverage of meteorological observation data, it can be replaced by WRF simulation data. This study provides the basis and reference for the application of PM_(2.5) inversion from different sources of meteorological data.
出处
《地理空间信息》
2018年第2期45-47,共3页
Geospatial Information
基金
国家自然科学基金资助项目(41271116)
国家高新技术研究与发展计划资助项目(2013AA122002)
