Abstract
Aerosols are small particles suspended in the atmosphere, comprising a diverse range of natural and anthropogenic sources. Aerosol exposure, the inhalation or contact with fine particles suspended in the atmosphere, has emerged as a critical concern for human health and environmental quality. Aerosol optical depth (AOD) is a crucial parameter for assessing aerosol concentrations, and its association with variations in precipitation, temperature, and relative humidity. In order to illustrate a precise representation and development in the topic of aerosol as well as the related issues, a scientometric technique has been applied by using VOS viewer. The proposed research indicates the years between 2013 and 2023, a total of 8697 documents were obtained from the database (ISI Web of Science). The details regarding the articles that have been published over the years are shown by the data gathered. Based on the regional distribution of the publications China and the USA play a significant role in this study area based on the number of articles published and citations. The three major areas of research in this domain are estimation of fine particulate matter and aerosol retrieval algorithms, reanalysis techniques of atmospheric composition, and aerosol optical properties. By identifying current advancements following study aims to offer information to researchers. A comprehensive understanding of aerosols and their associated implications is vital for formulating effective environmental policies and safeguarding public health.
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References
Bellouin, N., Quaas, J., Gryspeerdt, E., Kinne, S., Stier, P., Watson-Parris, D., et al. (2020). Bounding global aerosol radiative forcing of climate change. Reviews of Geophysics, 58, e2019RG000660.
Bove, H., Bongaerts, E., Slenders, E., Bijnens, E. M., Saenen, N. D., Gyselaers, W., Van Eyken, P., Plusquin, M., Roeffaers, M. B. J., Ameloot, M., et al. (2019). Ambient black carbon particles reach the fetal side of human placenta. Nature Communications, 10, 3866.
Buchard, V., Randles, C. A., Da Silva, A. M., Darmenov, A., Colarco, P. R., et al. (2017). The MERRA-2 aerosol reanalysis, 1980 onward. Part II: Evaluation and case studies. Journal of Climate, 30, 6851–6872.
Chaudhary, S., Dhir, A., Ferraris, A., & Bertoldi, B. (2021). Trust and reputation in family businesses: A systematic literature review of past achievements and future promises. Journal of Business Research, 137, 143–161.
Che, H., Xia, X., Zhu, J., Li, Z., Dubovik, O., Holben, B., et al. (2014). Column aerosol optical properties and aerosol radiative forcing during a serious haze-fog month over North China Plain in 2013 based on ground-based sun photometer measurements. Atmos Chem Phys., 14, 2125–2138.
Feingold, G., Eberhard, W. L., Veron, E., & Previdi, M. (2003). First measurements of the Twomey indirect effect using ground-based remote sensors. Geophysical Research Letters, 30(6), 1287–1291.
Feng, Y., Zhu, Q., & Lai, K. H. (2017). Corporate social responsibility for supply chain management: A literature review and bibliometric analysis. Journal of Cleaner Production, 158, 296–307.
Forouzanfar, M. H., Alexander, L., Anderson, H. R., Bachman, V. F., Biryukov, S., et al. (2015). Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990–2013: A systematic analysis for the Global Burden of Disease Study 2013. The Lancet, 86(10010), 2287–2323.
Giles, D. M., Sinyuk, A., Sorokin, M. G., Schafer, J. S., et al. (2019). Advancements in the Aerosol Robotic Network (AERONET) Version~3 database – Automated near-real-time quality control algorithm with improved cloud screening for Sun photometer aerosol optical depth (AOD) measurements. Atmospheric Measurement Techniques, 12, 169–209.
Giordano, L. (2015). Assessment of the MACC reanalysis and its influence as chemical boundary conditions for regional air quality modeling in AQMEII-2. Atmospheric Environment, 115, 371–388.
Holben, B. N., Eck, T. F., Slutsker, I., Tanre, D., Buis, J. P., et al. (1998). AERONET – A federated instrument network and data archive for aerosol characterization. Remote Sensing of Environment, 66(1), 1–16.
Hsu, N. C., Jeong, M.-J., Bettenhausen, C., Sayer, A. M., Hansell, R., Seftor, C. S., et al. (2013). Enhanced deep blue aerosol retrieval algorithm: The second generation. Journal of Geophysical Research—Atmospheres, 118, 9296–9315.
Inness, A., Ades, M., Agust-Panareda, A., & Barr, J. (2019). The CAMS reanalysis of atmospheric composition. Atmospheric Chemistry and Physics, 19, 3515–3556.
Kaskaoutis, D. G., Kumar, S., Sharma, D., Singh, R P., Kharol, S. K., Sharma, M., Singh, A. K ., et al. (2014). Effects of crop residue burning on aerosol properties, plume characteristics, and long-range transport over northern India. Journal of Geophysical Research: Atmospheres, 119, 5424–5444.
Kelly, F. J., & Fussell, J. C. (2015). Air pollution and public health: Emerging hazards and improved understanding of risk. Environmental Geochemistry and Health, 37, 631–649.
Liu, F., Huang, Y., Zhang, F., Chen, Q., Wu, B., Rui, W., Zheng, J. C., & Ding, W. (2015). Macrophages treated with particulate matter PM2.5 induce selective neurotoxicity through glutaminase-mediated glutamate generation. Journal of Neurochemistry, 134, 315–326.
Lyapustin, A., Wang, Y., Korkin, S., & Huang, D. (2018). MODIS collection 6 MAIAC algorithm. Atmospheric Measurement Techniques, 11, 5741–5765.
Mannucci, P. M., & Franchini M Health. (2017). Effects of ambient air pollution in developing countries. International Journal of Environmental Research and Public Health, 14, 1048.
Ramanathan, V., Crutzen, P. J., Kiehl, J. T., & Rosenfeld, D. (2001). Aerosols, climate, and the hydrological cycle. Science (New York, NY), 294(5549), 2119–2124.
Randles, C. A., Da Silva, A. M., Buchard, V., Colarco, P. R., et al. (2017). The MERRA-2 aerosol reanalysis, 1980 onward. Part I: System description and data. Assimilation evaluation. Journal of Climate, 30, 6823–6850.
Ranjbari, M., Saidani, M., Shams Esfandabadi, Z., et al. (2021). Two decades of research on waste management in the circular economy: Insights from bibliometric, text mining, and content analyses. Journal of Cleaner Production, 314, 128009.
Ranjbari, M., Shams Esfandabadi, Z., Ferraris, A., Quatraro, F., Rehan, M., et al. (2022). Biofuel supply chain management in the circular economy transition: An inclusive knowledge map of the field. Journal of Chemosphere, 296, 0045–6535.
Sah, D., Verma, P. K., Kandikonda, M. K., & Lakhani, A. (2018). Pollution characteristics, human health risk through multiple exposure pathways, and source apportionment of heavy metals in PM10 at Indo-Gangetic site. Urban Climate, 27, 149–162.
Sayer, A. M., Munchak, L. A., Hsu, N. C., Levy, R. C., Bettenhausen, C., & Jeong, M.-J. (2014). MODIS collection 6 aerosol products: Comparison between Aqua’s e-deep blue, dark target, and “merged” data sets, and usage recommendations. Journal of Geophysical Research—Atmospheres, 119, 13,965–13,989.
Van Donkelaar, A., Martin, R. V., Brauer, M., Hsu, N. C., et al. (2016). Global estimates of fine particulate matter using a combined geophysical-statistical method with information from satellites, models, and monitors. Environmental Science & Technology, 50(7), 3762–3772.
Van Donkelaar, A., Martin, R. V., Li, C., & Burnett, R. T. (2019). Regional estimates of chemical composition of fine particulate matter using a combined geoscience-statistical method with information from satellites, models, and monitors. Environmental Science & Technology, 5, 2595–2611.
Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538.
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Perumpully, S.J., Gautam, S. (2024). Evaluation and Scientometric Analysis of Aerosols and Associated Implications. In: Gautam, S., Kumar, R.P., Samuel, C. (eds) Aerosol Optical Depth and Precipitation. Springer, Cham. https://doi.org/10.1007/978-3-031-55836-8_14
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DOI: https://doi.org/10.1007/978-3-031-55836-8_14
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