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Estimating ground-level PM10 using satellite remote sensing and ground-based meteorological measurements over Tehran

机译:使用卫星遥感和德黑兰的地面气象测量来估算地面PM10

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摘要

Background and methodologyMeasurements by satellite remote sensing were combined with ground-based meteorological measurements to estimate ground-level PM10. Aerosol optical depth (AOD) by both MODIS and MISR were utilized to develop several statistical models including linear and non-linear multi-regression models. These models were examined for estimating PM10 measured at the air quality stations in Tehran, Iran, during 2009–2010. Significant issues are associated with airborne particulate matter in this city. Moreover, the performances of the constructed models during the Middle Eastern dust intrusions were examined.
机译:背景和方法将卫星遥感测量与地面气象测量相结合,以估算出地面PM10。利用MODIS和MISR的气溶胶光学深度(AOD)来开发几种统计模型,包括线性和非线性多元回归模型。对这些模型进行了评估,以估计2009-2010年在伊朗德黑兰的空气质量站测得的PM10。该城市的空气中颗粒物与重大问题有关。此外,还考察了中东粉尘入侵期间构建模型的性能。

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