• 关键词：遥感  PM₁₀  小波分析  城市大气污染

• 基金项目：浙江省科技厅平台项目(No10127003)

• 薛岩松
• 浙江大学 空间信息技术研究所, 杭州 310027

• 俞乐
• 浙江大学 空间信息技术研究所, 杭州 310027

• 徐鹏玮
• 浙江省环保护科学设计研究院, 杭州 310007

• 黄昭权
• 浙江大学 空间信息技术研究所, 杭州 310027

• 摘要：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.

• Abstract：PM₁₀ concentration is one of the most important quantitative indicators to indicate air quality in urban areas.Efficient collection of concentration and distribution information of PM₁₀ at a large scale benefits control of PM₁₀ and ultimately will help improve air quality.Satellite remote sensing,which provides a means to obtain atmosphere and surface conditions in a large scale,is a good prospect for pollution monitoring.In this paper,a satellite remote sensing product,namely MODISimages captured from 2004 to 2007 over Hangzhou,were decomposed by wavelet transformation.The resultant wavelet coefficients were analyzed with the in situ PM₁₀ concentration to establish a regression model.Further comparisons of image features in different air quality conditions were conducted.The initial experimental result shows that image features of MODISare correlated with PM₁₀ concentration.

• Key words：remote sensing  PM₁₀ concentration  wavelet analyze  urban air pollution

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