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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union

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doi:10.5194/amt-2016-405
© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
22 Feb 2017
Review status
This discussion paper is under review for the journal Atmospheric Measurement Techniques (AMT).
Estimation of Dust Downfall Time in Dusty Days using the Correlation between PM10 and Sunphotometer Data
Samira Zolfaghari Nikanjam1, Hamid Reza Khalesifard2,a, and Yousefali Abedini1,a 1Department of Physics, University of Zanjan, Zanjan, 38791-45371, Iran
2Department of Physics, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, 45137-66731, Iran
aCenter for Climate Change and Global Warming, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan 45137-66731, Iran
Abstract. Urban air pollution has become a serious challenge in all societies. Nowadays, pollutants are measured by various tools and devices, including local particulate measurement instruments and ground-based remote sensing devices. This paper aims to estimate dust downfall time in dusty days of Zanjan city using the data obtained from ground-based aerosol sampling device and sunphotometer. The particulates with the size of less than 10 micrometers (PM10) were measured by ground-based measurement device in the height of 3 meters above the ground, while aerosol optical depth (AOD), which represents the amount of aerosols in vertical column of atmosphere, was measured by sunphotometer. According to correlation coefficient diagram, PM10 and AOD reached a maximum of 2, 6, 3 and 3 hours in dusty days of 9, 10, 24 and 25 June 2010. In other words, dust downfall took 2, 6, 3 and 3 hours respectively in the aforementioned days. Keywords: Downfall, dust, sunphotometer, correlation

Citation: Zolfaghari Nikanjam, S., Khalesifard, H. R., and Abedini, Y.: Estimation of Dust Downfall Time in Dusty Days using the Correlation between PM10 and Sunphotometer Data, Atmos. Meas. Tech. Discuss., doi:10.5194/amt-2016-405, in review, 2017.
Samira Zolfaghari Nikanjam et al.
Samira Zolfaghari Nikanjam et al.
Samira Zolfaghari Nikanjam et al.

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