基于MODIS数据的地面颗粒物浓度估算方法

Estimation Method for Ground Particulate Matter(PM)Concentrations Based on MODIS Data

提出了一种基于卫星遥感数据的近地面颗粒物质量浓度(PM值)估计方法 .采用Terra/MODIS卫星数据和基于连续两天MODIS数据的气溶胶光学厚度反演算法,反演出无锡地区的气溶胶光学厚度;再利用所反演的气溶胶光学厚度与地面实测颗粒物质量浓度数据进行分析,得出颗粒物质量浓度的大小分布范围与气溶胶光学厚度的关系模型;进一步利用研究区域中地面站点监测到的颗粒质量浓度数据对估算结果进行评估.结果表明该方法所估算的PM值与地面实测数据具有较好的相关性,且地面监测的颗粒物质量浓度均分布在卫星遥感数据所估算的范围之内.本研究证明了MODIS卫星数据监测地面颗粒物质量浓度的可行性,为近地面PM值的估算提供了有效手段.

A method is proposed to estimate the surface-level particulate matter（PM）concentrations by using satellite re- mote sensing data in this paper. With the Terra/MODIS satellite-based data and the aerosol retrieval algorithm of two- day MODIS data, the aerosol optical depth over Wuxi city was calculated firstly. Then the relationship between the size distribution range of particle matter concentration and aerosol optical thickness was achieved using the aerosol optical depth and the measured particle matter concentration data. Lastly, the estimated results were evaluated by comparing with the PM values obtained by the ground-based observations deployed in the research region. The estimated PM values and observation results show good correlations and the entire ground monitoring particle mass concentrations are distributed within the range estimated by the satellite remote sensing data. This study confirms the feasibility of PM concen-tration monitoring with the MODIS data and provides an effective method of PM estimation for surface-level particulate.