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Appraising the effects of atmospheric aerosols and ground particulates concentrations on GPS-derived PWV estimates

机译:评估大气气溶胶和地面颗粒物浓度对GPS得出的PWV估计值的影响

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摘要

In 2016, three Nigerian cities were listed amongst the World's most polluted in terms of particulate matter (PM). Acknowledging Nigeria's limited resources for outdoor air pollution monitoring, this study attempts to investigate the effects on atmospheric aerosol optical depth and ground PM on GPS derived-precipitable water vapour estimates. The study utilized available GPS-derived precipitable water vapour (GPS(PWV)), the moderate resolution imaging spectroradiometer aerosol optical depth (MODISAOD) and the ground level particulate matter of less than 10 mu m (GPM) datasets for December 2015-November 2016. All the datasets were tested for normality. To evaluate the atmospheric aerosol properties, the MODISPWV estimates were pre-validated using the GPS(PWV) measurements. The results revealed GPS(PWV)-MODISPWV agreement (R = 0.964; RMSE = 3.810 mm). The GPS(PWV)-MODISAOD analysis showed relationship (R = -0.636; RMSE = 0.563) for the atmospheric aerosol experiment, while the collocating GPS(PWV)-GPM seasonal analysis also revealed significant correlation (R -0.660). The correlation of combined seasonal datasets for the GPS(PWV)-MODISAOD and GPS(PWV)-GPM relationships showed high negative correlation values of 0.79 and 0.68 respectively. The findings of this study is in agreement with similar related studies, as well as serve as position accuracy for future related studies.
机译:2016年,就颗粒物(PM)而言,尼日利亚的三个城市被列为世界上污染最严重的城市之一。认识到尼日利亚用于室外空气污染监测的资源有限,本研究试图调查GPS衍生的可沉淀水汽估算对大气气溶胶光学深度和地面PM的影响。该研究利用了2015年12月至2016年11月的可用GPS衍生的可沉淀水蒸气(GPS(PWV)),中分辨率成像分光辐射计气溶胶光学深度(MODISAOD)和地面颗粒物少于10微米(GPM)数据集对所有数据集进行正态性测试。为了评估大气气溶胶特性,使用GPS(PWV)测量对MODISPWV估计值进行了预先验证。结果显示GPS(PWV)-MODISPWV协议(R = 0.964; RMSE = 3.810 mm)。 GPS(PWV)-MODISAOD分析显示了大气气溶胶实验的关系(R <= -0.636; RMSE <= 0.563),而搭配的GPS(PWV)-GPM季节分析也显示出显着的相关性(R <-0.660)。 GPS(PWV)-MODISAOD和GPS(PWV)-GPM关系的组合季节性数据集的相关性分别显示出高负相关值,分别为0.79和0.68。该研究的结果与类似的相关研究一致,并且可作为未来相关研究的定位准确性。

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