Research of urban atmospheric aerosols of the Lower Volga under conditions of anthropogenic load and active zones of Earth

• Published in: Environmental science and pollution research international Vol. 29; no. 47; pp. 71380 - 71399
• Main Authors: Glinyanova, Irina, Asanova, Natali
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2022; Springer Nature B.V
• Subjects: Acidity; Aerosols; Air pollution; Anthropogenic factors; Aquatic Pollution; Atmospheric aerosols; Atmospheric Protection/Air Quality Control/Air Pollution; Earth and Environmental Science; Ecotoxicology; Environment; Environmental Chemistry; Environmental Health; Environmental science; Human influences; Indicators; Landsat; Least squares method; Mineralization; pH effects; Pollution sources; Remote sensing; Research Article; Residential areas; Statistical analysis; Villages; Volcanic activity; Waste Water Technology; Water Management; Water Pollution Control; Landsat-8; Electrical conductivity; Ancient volcanic area; Sustainability; Anthropogenic pollution acidic aerosols; pH; Active zones of Earth; Aerosol pollution; Environment; Natural aerosols
• ISSN: 0944-1344; 1614-7499
• DOI: 10.1007/s11356-022-20865-z

In settlements, special attention is given to the study of anthropogenic aerosol pollution, and insufficient attention is given to natural sources of pollution, especially from active zones of the Earth. The aim of this work was to study atmospheric pollution (the Srednyaya Akhtuba village (Volgograd region, Russia)) using indicators (pH; EC, μS/cm) of aerosol suspensions (washing off aerosols from the leaves of Prunus armeniaca L.) during 2018–2020 and the forecast of pollution sources. Research hypothesis: low mineralization and close to neutral acidity of aerosol suspensions indicate the purity of the atmospheric air, and there is no load of anthropogenic and natural sources. Acid mineralized aerosols were found in the residential area of Srednyaya Akhtuba, which indicates air pollution during 2018–2020. The correlation relationship between pH and EC in μS/cm was investigated using standard least squares regression. The results obtained indicate statistically significant differences between the experimental territory and the (relatively) clean location from 2018 to 2020 in terms of the studied indicators, as well as the revealed correlation between them in Srednyaya Akhtuba village, which indicates the revealed patterns and the influence of the system factor. Anthropogenic and natural sources were the system factors. The authors predict an active underground ancient volcanic zone in the area of Srednyaya Akhtuba with a possible natural load on the residential areas of the village, the assumption of which is based on analysis of heat anomaly maps using the Landsat-8 program and other programs.