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PM10质量浓度是表征城市空气质量最为重要的污染指标之一.快速了解其浓度和大范围的分布状况,有利于控制PM10质量浓度,并最终提高空气质量.卫星遥感可在瞬间获取大区域的地表和大气信息,在污染监测上具有广泛的应用前景.本文在对覆盖杭州市2004年至2007年的MODIS数据进行了小波分析的基础上,建立了小波系数与同期PM10质量浓度实测数据的回归模型,并进一步比较了不同空气质量条件下的相应图像特征.初步实验表明,MODIS遥感影像特征与PM10浓度存在相关关系.
PM10 mass concentration is one of the most important pollution indicators to characterize the urban air quality.Fast understanding of its concentration and wide range of distribution is conducive to the control of PM10 concentration and ultimately improve the air quality.Satellite remote sensing can obtain the surface of a large area in an instant And atmospheric information, it has a wide range of application prospects in pollution monitoring.Based on the wavelet analysis of MODIS data covering Hangzhou from 2004 to 2007, the regression model of wavelet coefficients and measured data of PM10 mass concentration in the same period , And further compared the corresponding image features under different air quality conditions.Preliminary experiments show that there is a correlation between the characteristics of MODIS remote sensing image and PM10 concentration.