Air microbial pollution in public places is particularly harmful to children who are in the growth and development period and the elderly with reduced physical function. Therefore, it is urgent to improve the ecological environment and give mankind a healthy earth. The purpose of this paper is to study air microbial pollution in public places based on convolutional neural networks. The relevant theoretical knowledge of microbial species identification based on CNN model is introduced in detail. The identification of bacterial and fungal concentrations of microorganisms in medical buildings in colleges and universities is analyzed. The species identification method based on hierarchical CNN is compared with the existing species identification tools RDPClassifier and 16SClassifier based on machine learning algorithms in terms of classification accuracy and identification speed. By comparison, the feasibility and efficiency of the hierarchical CNN-based species identification method are verified.

Asian Ullah. Air Microbial Pollution in Public Places Based on Convolutional Neural Network. Academic Journal of Environmental Biology (2021), Vol. 2, Issue 4: 19-27. https://doi.org/10.38007/AJEB.2021.020403.

[1] Burris H H, Just A, Riis V, et al. 1082: The impact of ambient air pollution on the presence of high-risk cervicovaginal microbial communities. American Journal of Obstetrics and Gynecology, 2020, 222(1):S667-S668. https://doi.org/10.1016/j.ajog.2019.11.1094

[2] Masyagutova L M, Bakirov A B, Simonova N I, et al. Laboratory confirmation of staging and volume of preventive measures at work under the conditions of microbial pollution of work environment air. Klinicheskaia Laboratornaia Diagnostika, 2018, 63(9):584-587.

[3] Rooij M D, Hoek G, Schmitt H, et al. Insights into Livestock-Related Microbial Concentrations in Air at Residential Level in a Livestock Dense Area. Environmental Science and Technology, 2019, 53(13):7746-7758. https://doi.org/10.1021/acs.est.8b07029

[4] Landry K G, Ascension N M, Armelle D, et al. Assessment of Indoor Microbial Quality of Library's Premise: Case of Central Library of the University of Yaoundé I. Open Journal of Preventive Medicine, 2018, 8(4):109-120.

[5] Odonkor S T, Mahami T. Microbial Air Quality in Neighborhoods near Landfill Sites: Implications for Public Health. Journal of Environmental and Public Health, 2020, 2020(3):1-10. https://doi.org/10.1155/2020/4609164

[6] Tanikkul P, Boonyawanich S, Pisutpaisal N. Bioelectricity recovery and pollution reduction of distillery wastewater in air-cathode SCMFC. International Journal of Hydrogen Energy, 2019, 44(11):5481-5487.

[7] Osterwalder S, Huang J H, Shetaya W H, et al. Mercury emission from industrially contaminated soils in relation to chemical, microbial, and meteorological factors. Environmental Pollution, 2019, 250(JUL.):944-952.

[8] Mushi D, Kebede G, Linke R B, et al. Microbial faecal pollution of river water in a watershed of tropical Ethiopian highlands is driven by diffuse pollution sources. Journal of water and health, 2021, 19(4):575-591. https://doi.org/10.2166/wh.2021.269

[9] Celik F, Camas M, Kyeremeh K, et al. Microbial Sorption of Uranium Using Amycolatopsis sp. K47 Isolated from Uranium Deposits. Water Air & Soil Pollution, 2018, 229(4):112.1-112.14.

[10] Abas A, Awang A, Aiyub K. Lichen As Bio-Indicator For Air Pollution In Klang Selangor. Pollution Research, 2018, 37(4):35-39.

[11] Mehmedinovi N I, Kesi A, Estan A, et al. Biosensor Chip for Monitoring of Water Pollution as Novel Test Tool in Public Health: Proof of Principle. International Journal of Engineering and Advanced Technology, 2021, 10(5):386-392.

[12] Fernandez-Baca C P, Omar A, Pollard J T, et al. Microbial communities controlling methane and nutrient cycling in leach field soils. Water Research, 2019, 151(MAR.15):456-467.

[13] Dengming, Yan, Xinshan, et al. Bioelectricity generation from air-cathode microbial fuel cell connected to constructed wetland.. Water science and technology : a journal of the International Association on Water Pollution Research, 2018, 78(9):1990-1996. https://doi.org/10.2166/wst.2018.471

[14] Landrigan P J, Stegeman J J, Fleming L E, et al. Human Health and Ocean Pollution. Annals of Global Health, 2020, 86(1):1-64. https://doi.org/10.5334/aogh.2831

[15] Kedare V J, Kharat S S, Tawde S. Effectiveness of Constructed Indoor Air Purifier to Enhance Indoor Air Quality. European Journal of Engineering Research and Science, 2020, 5(12):61-66.

[16] Kic P, Ruzek L, Popelarova E. Concentration of air-borne microorganisms in sport facilities. Agronomy Research, 2018, 16(4):1720-1727.

[17] Pompilio A, Bonaventura G D. Ambient air pollution and respiratory bacterial infections, a troubling association: epidemiology, underlying mechanisms, and future challenges. Critical Reviews in Microbiology, 2020, 46(5):600-630.

[18] Pivato A, Raga R, Marzorati S, et al. Mitigating long-term emissions of landfill aftercare: Preliminary results from experiments combining microbial electrochemical technologies andin situaeration:. Waste Management & Research, 2021, 40(5):596-606. https://doi.org/10.1177/0734242X20983895