Dergiler / Atmospheric Pollution Research / 2020 / Cilt: 11 - Sayı: 12

Long-term temporal analysis of the columnar and surface aerosol relationship with planetary boundary layer height at a southern coastal site of Turkey

Sayfa
2259–2269
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Improvements were also showed seasonal differences.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Mersin is industrialized city with 1.8 million people, a dense port, and different industries.
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Temel Bulgular & Veri:In this study, the relationship between particulate matters having diameter of 10 μm or less (PM10) and PBLH was investigated in an urban coastal site of Turkey.
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Sonuç & Katkı:Improvements were also showed seasonal differences.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Özet

Mersin is industrialized city with 1.8 million people, a dense port, and different industries. The region is under the influence of mineral dust transport originated from the arid and semi-arid regions, mainly in spring and autumn. Planetary boundary layer height (PBLH) is one of major parameters influencing surface air quality. In this study, the relationship between particulate matters having diameter of 10 μm or less (PM10) and PBLH was investigated in an urban coastal site of Turkey. Relationships between PBLH and the ratios of PM10 to Aerosol Optical Depth (AOD) from MODIS and AERONET were also analyzed to account for transported aerosol that is not concentrated in the planetary boundary layer (PBL). PBL is known as the atmospheric boundary layer (ABL) that is the lowest part of the atmosphere and its behavior is directly influenced by its contact with a planetary surface. The PM10, AOD and PBLH showed a seasonal variability with increasing multiyear seasonal mean values of AOD and PBLH from winter to summer while decreasing trend was found for PM10 over the analyzed site. Paired dataset for MODIS overpass and AERONET observational times shared the same seasonal patterns; however, the magnitude of the seasonal variations differed. The relationship of PBLH–PM10 was weak over the site. Positive correlations observed in spring and summer could be characterized by lower PM10 concentrations and transported aerosols over the region. Compared to PBLH–PM10 correlations, the PM10/AOD ratio increased correlations significantly from −0.18 to −0.43 for MODIS overpass time and −0.18 to −0.30 for AERONET observational time. Improvements were also showed seasonal differences.

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Bu Makaleye Atıf Yap

UYGUN, G. T., ELBİR, T. (2020). Long-term temporal analysis of the columnar and surface aerosol relationship with planetary boundary layer height at a southern coastal site of Turkey. Atmospheric Pollution Research, Cilt: 11 - Sayı: 12, 2259–2269. https://ajindex.com/articles/160519

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Kaynakça (6)

  1. Anderson, J.O., Thundiyil, J.G., Stolbach, A., 2012. Clearing the air: a review of the effects of particulate matter air pollution on human health. J. Med. Toxicol. 8, 166–175.
  2. Burnett, R., Chen, H., Szyszkowicz, M., Fann, N., Hubbell, B., Pope, C.A., Apte, J.S., Brauer, M., Cohen, A., Weichenthal, S., Coggins, J., Di, Q., Brunekreef, B., Frostad, J., Lim, S.S., Kan, H., Walker, K.D., Thurston, G.D., Hayes, R.B., Lim, C.C., Turner, M.C., Jerrett, M., Krewski, D., Gapstur, S.M., Diver, W.R., Ostro, B., Goldberg, D., Crouse, D.L., Martin, R.V., Peters, P., Pinault, L., Tjepkema, M., Van Donkelaar, A., Villeneuve, P.J., Miller, A.B., Yin, P., Zhou, M., Wang, L., Janssen, N.A.H., Marra, M., Atkinson, R.W., Tsang, H., Thach, T.Q., Cannon, J.B., Allen, R.T., Hart, J.E., Laden, F., Cesaroni, G., Forastiere, F., Weinmayr, G., Jaensch, A., Nagel, G., Concin, H., Spadaro, J.V., 2018. Global estimates of mortality associated with long-term exposure to outdoor fine particulate matter. Proc. Natl. Acad. Sci. Unit. States Am. 115, 9592–9597.
  3. Choi, Y.S., Park, R.J., Ho, C.H., 2009. Estimates of ground-level aerosol mass concentrations using a chemical transport model with moderate resolution imaging spectroradiometer (MODIS) aerosol observations over East Asia. J. Geophys. Res. Atmos. 114, D04204. Dey, S., Gupta, S., Chakraborty, A., Sibanda, P., 2018. Influences of boundary layer phenomena and meteorology on ambient air quality status of an urban area in eastern India. Atmósfera 31, 69–86.
  4. Du, C., Liu, S., Yu, X., Li, X., Chen, C., Peng, Y., Dong, Y., Dong, Z., Wang, F., 2013. Urban boundary layer height characteristics and relationship with particulate matter mass concentrations in Xi’an, Central China. Aerosol Air Qual. Res. 13, 1598–1607.
  5. Dubovik, O., King, M.D., 2000. A flexible inversion algorithm for retrieval of aerosol optical properties from Sun and sky radiance measurements. J. Geophys. Res. Atmos. 105 (20), 673–696 20. Eck, T., Holben, B.N., Reid, J.S., Dubovik, O., Smirnov, A., O'Neil, N.T., Slutsker, I., Kinne, S., 1999. Wavelength dependence of the optical depth of biomass burning urban and desert dust aerosols. J. Geophys. Res. 104, 31333–31349. EEA (European Environmental Agency), 2019. Air Quality in Europe – 2019
  6. Report. Copenagen, Denmark, pp. 114. Gelaro, R., McCarty, W., Suárez, M.J., Todling, R., Molod, A., Takacs, L., Randles, C.A., Darmenov, A., Bosilovich, M.G., Reichle, R., Wargan, K., Coy, L., Cullather, R., Draper, C., Akella, S., Buchard, V.