Physical and Chemical Characteristics of Different Aerosol Fractions in the Southern Baikal Region (Russia) During the Warm Season

Abstract

The Baikal region, including areas with poor environmental conditions, has significant clean background zones. In the summer of 2023, we analyzed the physical and chemical parameters of aerosol particles with different size fractions at Irkutsk and Listvyanka monitoring stations. Reduced wildfires and minimal impact from fuel and energy industries allowed us to observe regional and transboundary pollution transport. A large data array indicated that, during the shift of cyclones from Mongolia to the south of the Baikal region, the concentrations of Na⁺, Ca²⁺, Mg²⁺, K⁺, and Cl⁻ ions increased at the Irkutsk station, dominated by NH₄⁺ and SO₄²⁻. The growth of the ionic concentrations at the Listvyanka station was observed in aerosol particles during the northwesterly transport. When air masses arrived from the southerly direction, the atmosphere was the cleanest. The analysis of 27 elements in aerosols revealed that Al, Fe, Mn, Cu, and Zn made the greatest contribution to air pollution at the Irkutsk station, while Fe, Al, Cu, Cr, Mn, and Ni made the greatest contribution to air pollution at the Listvyanka station. The dynamics of the investigated elements were mainly due to natural processes in the air under various synoptic situations and weather conditions in the region, although anthropogenic factors also affected the formation of aerosol composition wth certain directions of air mass transport.

1. Introduction

The study of the chemical composition of atmospheric aerosols is an important area of climate science. Aerosols play a key role in climate processes, air quality, and human health [1,2]. In recent decades, much attention in the study of atmospheric aerosols has been paid to such issues as their formation and impact on the state of the air, especially in the study of natural processes and anthropogenic impact on the world population [3,4]. Synoptic processes play an important role in the chemical composition formation of atmospheric aerosols [5,6]. Movable pressure patterns can contribute to the long-range transport of pollutants. This is relevant both for regions with high-degree anthropogenic impact and background areas [7,8]. The Baikal region of East Siberia allocates clean background areas of special environmental significance (Lake Baikal, natural reserves, wildlife sanctuaries, and national parks) along with areas with unfavorable environmental conditions caused by emissions from large local industrial agglomerations and transregional transport of air pollutants [9].

The chemical composition of atmospheric aerosols in the Baikal region, one of the most dynamic air components, significantly depends on micro- and mesoclimatic features of the area and the nature of synoptic processes associated with them. The development of movable pressure patterns under certain synoptic and meteorological conditions, especially in winter, contributes to the regional-scale transport of air pollutants, mainly from the industrial complexes of the Baikal region, to clean background areas [10,11,12]. In contrast, the stabilization of a homogenous air mass during blocking processes over Mongolia, Europe, and the Atlantic causes low concentrations of atmospheric aerosols in some areas of this region [13]. Stationary sources are the main air pollutants in the Baikal region and the Central Ecological Zone (CEZ) of Lake Baikal, with their contribution being more than 90% [14]. Of these, about 70% are accounted for by thermal power plants, which are the main consumers of coal and liquid fuels in the region [15,16]. The largest heat source in Irkutsk is the Novo-Irkutsk CHPP. This facility provides heating and hot water to most of the city. The highest coal consumption occurs during the cold season. Coal combustion releases combustion products such as fly ash, sulfur dioxide (SO₂), nitrogen oxides (NO_x), mercury, and other heavy metals into the atmosphere, which exacerbate air pollution problems in areas where thermal power plants are typically located [17,18,19]. Smog from wildfires, the role of which has been increasing in the past decade, has a significant impact on the physical characteristics and chemical composition of aerosols in the Southern Baikal region. Wildfires increase mass and number concentrations of aerosols, the concentrations of ions, elements, and polyaromatic compounds (PAHs) in their composition [20,21].

The first studies of the chemical composition of atmospheric aerosols in the air basin of the Baikal region were undertaken in 1974 [22]. More detailed studies of the physical and chemical characteristics of atmospheric aerosols have been conducted since the early 90s of the past century [23]. The ionic composition of atmospheric aerosols has been continuously studied since 2001 at two air monitoring stations in the Southern Baikal region: one is located in the urban area of the city of Irkutsk, and another is in the rural area of the Listvyanka settlement. These stations are part of the international Acid Deposition Monitoring Network in East Asia (EANET) [24]. The study of the chemical composition of atmospheric aerosols has an important practical application because the air pollution in the Baikal region exerts a direct influence on the air basin and water composition in Lake Baikal as well as the water formation in its tributaries, up to 40% of which are fed through the air [25]. Long-term monitoring has shown that anthropogenic SO₂ and NO_x emissions from regional coal-fired power plant plumes lead to additional deposition of nitrates and sulfates in the Baikal tributary basin and result in a decrease in the acidity of tributary waters compared to Lake Baikal itself [11,26]. Reduced nitrogen (Nh₃) has become the predominant form of dry precipitation; its contribution to the total nitrogen (N) flow at the Irkutsk station ranges from 72% to 92%, and at Listvyanka, from 80% to 99%. The amount of sulfur entering the underlying surface with gaseous impurities has increased by two times compared to the period 2000–2005 [27]. From the atmosphere, the Baikal catchment area receives from 2 to 6% of soluble components, up to 30–60% of nutrients, and some heavy metals [28].

The study of the elemental composition of atmospheric aerosols has also become an important aspect. Elements of terrigenous origin (such as Al, Fe, Ca, Mg, and Na) and technogenic pollutants (As, Sb, Zn, Pb, and Cr) have different distribution depending on the season and pollution sources, which confirms the need for the comprehensive approach to the study of the chemical composition of aerosols, taking into account their size fractions [29]. Modern studies also draw attention to the need to model data on the chemical composition of atmospheric aerosols. Verification of air quality models based on experimental data becomes an important tool for predicting the state of the air basin in the Baikal region [30,31]. Special attention is paid to identifying potential sources of atmospheric pollution through the use of a reverse trajectory model, which allows for a detailed analysis of the spatial and temporal characteristics of pollutant dispersion in the atmosphere. The analysis of the dynamics of air masses emanating from the main stationary sources of atmospheric pollution in the Baikal natural area has been conducted. As a result of the study, five different groups of regional air mass transfer to Lake Baikal were identified. The classification of these groups was based on the basis of the geographical location of large industrial centers, the frequency of various mass trajectories, and the features of synoptic situations [32].

Previous long-term studies of the chemical characteristics of aerosols (ions, elements, and PAHs) in the Baikal region were carried out mainly in the total mass of the aerosol particles; therefore, information about the chemical composition of particles depending on the size spectrum was extremely limited [21]. In this regard, during the warm season of 2023, for the first time at the Irkutsk and Listvyanka monitoring stations, a detailed analysis of the physical parameters was conducted, as well as the ionic and elemental composition of particles across different size fractions. Additionally, identified the sources of their formation based on specific wind directions and air mass trajectories in the study area. On May 22, when the average daily outdoor temperature reached a stable +8 degrees Celsius for five consecutive days, the heating season in the region was concluded. The coal demand during the 2022–2023 heating period in Irkutsk accounted for approximately 65% of the total coal burned at the CHPP in 2023 [33]. According to Interfax, thanks to the cold front and a large amount of precipitation, the number of wildfires in the region decreased almost by a factor of 1.8 in 2023, with a decrease in wildfire area by a factor of 15.2 compared to 2022 [34]. Observations during the warm period of 2023 allowed us to exclude the active impact of the fuel and energy complex and smog from wildfires on the air quality and the composition of atmospheric aerosols, as well as to trace regional transport of air pollutants to the southern basin of Lake Baikal from various pollution sources in the Baikal region, along with long-range transboundary transport.

2. Materials and Methods

2.1. Sampling Stations

The Irkutsk and Listvyanka stations are located in the south of East Siberia in the center of the Asian continent (Figure 1). Irkutsk, an administrative center of the Irkutsk Region with a population of ~600 thousand people and a developed urban infrastructure, is located on the banks of the Angara River and on the main transport routes connecting Europe with the Far-Eastern regions of Russia and the countries of the Asia-Pacific region. The Irkutsk urban air monitoring station (52.14 N, 104.15 E; 400 m a.s.l.) is situated in the southwestern part of the city on the territory of Limnological Institute SB RAS at an altitude of ~10 m above ground level [24].

The Listvyanka settlement, with a population of approximately 2000 people, is located on the southwest coast of Lake Baikal, 70 km from Irkutsk. Listvyanka, a tourist settlement with an actively developing infrastructure, stretches along the coastline for a distance of up to 6 km (see Figure 1). This area is limited by the Angara River source by crests of the Primorsky Range with predominant heights of 900–1000 m. The settlement has many point sources of air pollution, such as small boiler facilities and stove heating systems. There is also an intensive growth of land and water transport traffic. Between April and September, wildfires in Siberia have a significant impact on the change in the physical and chemical properties of the ground-level atmosphere [20,21].

The Listvyanka air monitoring station (51.50 N, 104.53 E) is situated above the settlement on the coastal hill 200 m above the level of Lake Baikal (670 m a.s.l.), on the territory of the Astrophysical Observatory of the Institute of Solar-Terrestrial Physics SB RAS. The higher altitude location of the station than the settlement allows avoiding the influence of its vital activity and tracing the regional transport of air pollutants in the CEZ of the southern basin of Lake Baikal.

Despite the physiographic differences in the location of the stations and the degree of anthropogenic impact, the chemical composition of aerosols in Irkutsk and Listvyanka depends mainly on the same sources: soil erosion aerosol, transport, and frequent wildfires in the warm period, as well as heating facilities and transport in the cold period. The calculated frequency of air mass transport indicated the predominant influx of air masses into the city from the west and northwest. The trajectories of this direction averaged 60% [32]. Sources common to all modern cities mainly form the chemical composition of urban aerosols: transport and industry emissions, transboundary transport, gas-phase transitions, and soil erosion factor. Approximately 10% of emissions from the Irkutsk pollution sources enter the air basin of Lake Baikal and deposit in the lake’s waters. In case of long-term influx of air masses from the northwesterly and westerly directions and a wind speed of 3–10 m s⁻¹, air pollutants reach the water area of Lake Baikal in 2–6 h.

2.2. Sampling

To identify the “marker substances” in the air above Irkutsk during the unheated period (from 5 May to 5 September 2023), daily sampling of atmospheric aerosols with particle sizes of 0.8, 2.0, 5.0, and 10 µm was carried out. Samples were collected using an IKS-10 cascade impactor (Russia, Ekaterinburg) with a volume flow rate of 10 L/min onto Whatman-41 filters. At the Listvyanka station, sampling was carried out from 22 May to 8 September using a TE-Wilbur low volume air sampler system from Tisch Environmental (Tisch Environmental, Cleves, OH, USA) with a volume flow rate of 16.7 L min⁻¹, which allows sampling particles < 2.5 µm.

2.3. Determination of Physical and Chemical Parameters of Atmospheric Aerosols

2.3.1. Determination of Mass Concentration of Aerosols

To study the total number concentration and particle size distribution of microdisperse aerosol fraction, a Handheld 3016 IAQ particle counter from Lighthouse (USA) was used, which allows particle sizes to be measured in six channels (0.3, 0.5, 1.0, 2.5, 5.0, and 10.0 μm) and displays differential data on the number of particles. Air was pumped with an internal pump at a rate of 2.8 L/min. The measurement accuracy was ~5%. Measurements were taken hourly [21]. The variability of aerosol particle concentrations depends on wind direction, possible turbulent eddies, and the arrival of air masses from different sources of atmospheric emissions. In this regard, three-day back trajectories of air mass transport arriving in the study area from the altitudes of 500, 1000, and 1500 m were analyzed. The heights are chosen in such a way as to cover different layers of the atmosphere. The 500 m level makes it possible to account for the local effects of terrain, the characteristics of the underlying surface, and the main emissions from industrial enterprises and transport. The height of 1000 m serves as a transition zone that influences the spread of medium-range pollutants; above 1500 m, the zone of pollutants over long distances begins. Data for back trajectory analysis based on a Hybrid Single Particle Lagrangian Integrated Trajectory Model (HYSPLIT) were used from the US National Oceanic and Atmospheric Administration website [36].

2.3.2. Determination of the Chemical Composition of Aerosol Particles

To ensure complete extraction of NH₄⁺, K⁺, Na⁺, Ca²⁺, Mg²⁺, Cl⁻, NO₂⁻, NO₃⁻, and SO₄²⁻ ions, aerosol filters were processed in an ultrasonic bath. The filters were placed in test tubes, with an addition of 10.0 mL of deionized water by weighing, and further processed in an ultrasonic bath. The extract after filtration was used to determine ions and to measure the pH value. The ionic composition of aerosols was analyzed on an ICS-3000 ion chromatography system (Dionex Corporation, Sunnyvale, CA, USA). Methods employing reagent-free systems are approved by the U.S. Environmental Protection Agency (EPA). Agency statistics confirm that the use of hydroxide eluents complies with the requirements of the EPA 300.0 and 300.1 methods for the determination of inorganic anions. The generation of eluents allows for the analysis of anions and cations at the trace level. The ultrapure hydroxide in the EGC II KOH cartridge provides a low, stable baseline, facilitating precise and straightforward peak integration. Using an eluent generator with a CR-TC trap minimizes baseline shifts during gradient changes. An EGC II MSA cartridge with ultrapure methanesulfonic acid is employed for cation detection, offering a low, stable baseline and reproducible retention times [37]. Analytical column IonPac AS19 (2 × 250 mm) was used to determine anions, and IonPac CS12A (2 × 250 mm)–cations [21].

Twenty-seven trace elements (Li, Be, B, Al, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Se, Sr, Mo, Cd, Sn, Sb, Ba, W, Pb, Th, U, Ag, and Tl) were determined through inductively coupled plasma mass spectrometry using an Agilent 7500 ce mass spectrometer (Agilent Scientific Instruments, Santa Clara, CA, USA). The method suggested the extraction of pollutants collected from a filter with a mixture of concentrated nitric acid purified at the Savillex DST-1000 installation (Savillex Corporation, Minneapolis, MN, USA) and strong hydrogen peroxide at a temperature of 95 °C, according to the technique for the determination of metals in solid environmental objects [38,39]. The resulting extract was diluted with ultrapure water from the Sartorius arium^®mini system (Sartorius, Göttingen, Germany) [40]. The blank sample analysis was performed. The samples were supplied using a microcurrent nebulizer (flow rate 0.3 mL/min). The instrument was calibrated using standard high-purity solutions ICP-MS-68A-A-100 and ICP-MS-68A-B-100 from the manufacturer High-Purity Standards. The drift of the device was controlled by an internal standard and a control sample (a standard solution with a concentration of 1 mg/L of each element), which was analyzed every 10 samples. The detection limit was defined as the concentration of an element at which the signal from the sample is three times higher than the background fluctuations (a 98% confidence interval is usually used).

3. Results and Discussion

3.1. Meteorological Parameters

Meteorological parameters of local and regional scale have a significant influence on the transport and spatiotemporal variability of air pollutant concentrations. The three-day back trajectories identified the following wind directions in the observation areas. At the Irkutsk station, in up to 70% of cases for the entire observation period air masses arrived at the observation area from the north (N), northwest (NW), and west (W); in 22% of cases—from the southwest (SW), south (S), and southeast (SE). Near the Listvyanka station, air masses from the northwest (29%), southwest, south, and southeast (23%), and from the north and northeast (21%) dominated in the summer.

Table 1. Statistics of wind conditions at the Irkutsk and Listvyanka stations, 2023.

Direction, Degrees	Irkutsk		Listvyanka
	Frequency, %	Average Speed, m/s	Frequency, %	Average Speed, m/s
June 2023
1–90	11	1.9	7	0.5
91–180	32	2.8	28	0.9
181–270	14	2.1	8	1.0
271–360	43	4.5	57	1.9
Calm, <0.5 m/s	1.4		21
Maximum speed (date; time)		NW, 15.5 m/s 14 June; 14:00		NW, 5.9 m/s 12 June 02:00
July 2023
1–90	12	1.9	15	0.6
91–180	33	2.4	22	0.8
181–270	16	2.1	7	0.7
271–360	39	4.0	56	1.6
Calm, <0.5 m/s	1.3		24
Maximum speed (date; time)		NW, 9.0 m/s 4 July; 2–7:00		NW, 3.9 m/s 4 July; 15:00
August 2023
1–90	21	1.8	10	1.0
91–180	23	2.1	21	1.0
181–270	15	2.4	9	1.0
271–360	41	3.2	60	1.6
Calm, <0.5 m/s	2.3		19
Maximum speed (date; time)		NW, 8.0 m/s 15 August; 13:00		NW, 4.8 m/s 15 August; 23:00

presents statistics of wind directions and speeds in four sectors as well as the frequency of calms (<0.5 m/s) at stations Irkutsk and Listvyanka during the warm season of 2023. Meteorological parameters were measured using an automatic certified Sokol-M weather station (Russia). Northwesterly winds with average speeds prevail at both stations. Winds from the southeast are the second most frequent. In Listvyanka, when winds come from the southeast, air masses originate over the lake. Under moderate southeasterly winds heading toward Irkutsk, air masses are mainly transported from northern regions of China, Mongolia, as well as from adjacent areas of Southern Siberia, including Buryatia and partly the Trans-Baikal Territory, along with the Angara River Valley.

Figure 2 shows the synoptic situation on 12 June 2023 and on 6 August 2023 as an example of a large-scale northwesterly (NW) transport to Lake Baikal from the Irkutsk-Angarsk industrial complex. In the first case (Figure 2a), we observed one of the highest wind speeds both in Irkutsk and Listvyanka as well as one of the maximum air pollution levels. This figure also demonstrates a reversal of the northwesterly wind over the lake to the southwesterly wind. The second case (Figure 2b) shows the low air pollution level.

Precipitation is another important factor influencing the air pollutant concentration. The rate of air purification from pollutants depends on the amount and intensity.

Table 2. Data on precipitation in Irkutsk and Listvyanka in the summer of 2023.

	Amount per Month, mm	Maximum per Day, mm (Date)	Amount per Month, mm	Maximum per Day, mm (Date)
	Irkutsk		Listvyanka
June	80.8	25.0 (3 June)	92.9	23.0 (24 June)
July	84.2	18.6 (6 July)	85.3	29.0 (3 July)
August	113	28.1 (14 August)	50.8	10.7 (16 August)

presents the statistics of precipitation for the study period of 2023.

3.2. Physical Characteristics of Atmospheric Aerosol

Optical methods are commonly used to determine the microphysical characteristics of aerosol particles. These methods provide good sensitivity to submicron particles [41]. To study the total number concentration and the distribution of particles by sizes of the microdisperse aerosol fraction, a Handheld 3016 IAQ particle counter (Lighthouse, Fremont, California, USA) was used, which can count particles through six channels (>0.3, >0.5, >1, >2.5, >5, and >10 μm) and display the differential particle count data [21]. Measurements were carried out hourly at the Irkutsk station. We calculated standard aerosol mass concentrations corresponding to average particle diameters, d < 1.0, 2.5, and 10 µm (the average particle density of soil aerosols amounting to 2 g/cm³ was used for calculations in the urban air). The aerosol mass concentration at the Irkutsk station was rather stable during the study period. The ratio of submicron particle concentrations (<1.0 μm) at the Irkutsk station to large particles (>1.0 μm) varied within 10–30%. This corresponds to the predominance of soil particles in the urban air.

Table 3. Aerosol mass concentrations in the air of Irkutsk and Listvyanka during the warm period of 2023, µg/m³.

Month	PM1.0	PM2.5	PM10.0	PM<1.0/PM>1.0	Total Mass Concentration
	µg/m3	µg/m3	µg/m3	%	µg/m3
	Irkutsk				Listvyanka
May	5	10.8	27.7	14	14.8
June	5.3	11.3	23.4	31	18.0
July	6.5	11.7	23.2	31	24.8
August	5.4	11.9	26	22	25.4
September	7.4	14.8	33.5	21	26.4

presents the calculation data. The predominance of coarse–dispersed aerosols over submicron aerosols during the summer is a characteristic feature of other large cities [42,43].

The average monthly total mass aerosol concentration in Listvyanka in the warm period of 2023 varied from 14.8 to 26.4 µg/m³ (see Table 3). As noted in the work of Shikhovtsev et al. [44], after the heating season, an increase in the mass concentration of coarse aerosol is observed at the station. The increase in particle size is associated with an increase in temperature and relative humidity during the open water period of a large reservoir (Lake Baikal). The data on the average monthly mass concentration of aerosol in the summer of 2021 is higher than in 2023. This indicator varied from 5 to 32 µg/m³ for particles of 2.5 microns in size and from 9 to 36 µg/m³ for particles of 10 microns in size. In contrast to 2023, in the fire-prone period of 2021, the fire area was 36 times larger [45]. High values of the mass concentration of coarse aerosol during the ignition of forest fires reached values > 200 µg/m³ [44].

3.3. Chemical Characteristics of Atmospheric Aerosols

3.3.1. Ionic Composition of Atmospheric Aerosols at the Irkutsk Station

Data on the concentrations of the ionic composition of aerosols at the Irkutsk station, shown in

Table 4. Mean concentrations (numerator) and standard deviation (denominator) of the concentrations of ions with different size fractions in atmospheric aerosols at the Irkutsk station from 5 May to 5 September 2023, µg m⁻³.

Particle Size, μm	Na+	NH4+	K+	Mg2+	Ca2+	Cl−	NO2−	NO3−	SO42−
0.8	${\displaystyle \frac{0.057}{0.040}}$	${\displaystyle \frac{0.297}{0.368}}$	${\displaystyle \frac{0.021}{0.016}}$	${\displaystyle \frac{0.017}{0.019}}$	${\displaystyle \frac{0.094}{0.093}}$	${\displaystyle \frac{0.314}{0.274}}$	${\displaystyle \frac{0.003}{0.005}}$	${\displaystyle \frac{0.119}{0.106}}$	${\displaystyle \frac{0.284}{0.360}}$
2.0	${\displaystyle \frac{0.060}{0.046}}$	${\displaystyle \frac{0.255}{0.314}}$	${\displaystyle \frac{0.025}{0.023}}$	${\displaystyle \frac{0.020}{0.046}}$	${\displaystyle \frac{0.106}{0.111}}$	${\displaystyle \frac{0.358}{0.344}}$	${\displaystyle \frac{0.003}{0.004}}$	${\displaystyle \frac{0.152}{0.173}}$	${\displaystyle \frac{0.171}{0.180}}$
5.0	${\displaystyle \frac{0.068}{0.055}}$	${\displaystyle \frac{0.324}{0.480}}$	${\displaystyle \frac{0.027}{0.027}}$	${\displaystyle \frac{0.021}{0.027}}$	${\displaystyle \frac{0.128}{0.148}}$	${\displaystyle \frac{0.390}{0.340}}$	${\displaystyle \frac{0.004}{0.005}}$	${\displaystyle \frac{0.133}{0.147}}$	${\displaystyle \frac{0.113}{0.103}}$
10.0	${\displaystyle \frac{0.056}{0.038}}$	${\displaystyle \frac{0.215}{0.257}}$	${\displaystyle \frac{0.025}{0.028}}$	${\displaystyle \frac{0.017}{0.021}}$	${\displaystyle \frac{0.093}{0.099}}$	${\displaystyle \frac{0.326}{0.292}}$	${\displaystyle \frac{0.003}{0.004}}$	${\displaystyle \frac{0.113}{0.100}}$	${\displaystyle \frac{0.120}{0.174}}$

, were grouped for each particle size. NH₄⁺, Ca²⁺, Cl⁻, and SO₄²⁻ were major ions in aerosols of different size fractions. The empirical rule allowed us to identify potential differences in the ion concentration variability. For this purpose, we compared the mean ionic concentrations in particles of different sizes with the limits of standard deviation from the mean. The comparison indicated that in 83% of cases, the ionic concentrations in aerosols of different fractions were within the range of one standard deviation. The concentrations of SO₄²⁻, Na⁺, NH₄⁺, Ca^2+, and Cl⁻ ions on submicron particles (0.8 μm), as well as SO₄²⁻, Na⁺, NH₄⁺, Ca^2+, and Cl⁻ ions in the particle range of 5 μm, were detected within two standard deviations. This testifies to both the local influx of pollutants into the air at stations and regional transport. The lifetime of aerosol particles in the troposphere, depending on the particle dispersion and their physicochemical properties, varies from several months to days. The largest aerosol particles with r > 10 μm exist for less than a day [46].

The ionic concentrations in coarse–dispersed aerosols (5–10 μm) mainly increased at the Irkutsk station when air masses arrived from the northerly and easterly directions, i.e., from a large thermal power plant and the central areas of the city where industrial enterprises are located. When air masses shifted from the southerly to southwesterly directions, the air was the cleanest. There is a forest area in this direction from the monitoring station (Figure 3). Precipitation leaching of impurities from the atmosphere was observed. In particular, during periods of heavy precipitation (see Table 2), there was a decrease in the total concentration of ions in the aerosol particles of all size fractions, varying from 2 to 6 times compared to the previous day. The most pronounced decrease in ion concentrations was recorded for particles less than 2 μm in size, which indicates a high efficiency of washing out fine aerosols during precipitation.

To assess the anthropogenic impact on the chemical composition of aerosol, we calculated enrichment factors (EF) for particles of individual fractions with specific ions [47]:

EFi = [(Ci/E)_aer]/[(Ci/E)_sw]

(1)

where EFi was the enrichment factor, and (Ci/E) was the ratio of the concentration of the i-th element and the reference element (E) in aerosols (aer) and in the substance of a likely source–seawater (sw). Na⁺ was used as a reference element for ions; the data on the seawater composition were taken from [48].

K⁺, Ca²⁺, and SO₄²⁻ ions showed elevated EF (mean 12–44), reaching 165 for large particles (5–10 μm), with the maximum values for Ca²⁺ ions. In the summer, calcium enters the air from various sources. These can be both natural phenomena and human activity. Calcium particles entered the atmosphere along with dust during winds and dry conditions. Despite the lack of heating, thermal power plants continue to operate. Additionally, vehicles also contribute to the emission of calcium-containing particles. EF for K⁺ ions, the main source of which is bottom ash waste from coal combustion at thermal power plants, predominated over EF for SO₄²⁻ ions. Mg²⁺ and Cl⁻ ions were mainly of natural origin (EF 1–10).

Submicron aerosols (0.8 μm) analyzed at the stations belonged to long-range transport aerosols, for example, formed in areas of Krasnoyarsk Krai and the western part of the Irkutsk Region. Gas-phase reactions in the atmosphere, as well as in the soil, are the sources of these aerosols. They also formed in Mongolia because the analysis of atmospheric microcirculation characteristics revealed a significant increase in the frequency of cyclones moving from Mongolia to the Baikal region [49].

Of great interest in the study of aerosols from Mongolia during the warm season are dust storms, the frequency of which for the past decade was the highest in 2023 [50,51]. The resulting temperature inversion allows dust aerosols to be transported over long distances [52]. When air masses arrived from the central and western parts of Mongolia, with the southerly direction, the concentrations of Na⁺, Ca²⁺, Mg²⁺_, K⁺, and Cl⁻ ions increased in fine aerosols at the Irkutsk station, with a predominance of NH₄⁺ and SO₄²⁻ (see Figure 3).

3.3.2. Ionic Composition of Atmospheric Aerosols at the Listvyanka Station

Daily sampling of aerosol particles was carried out at the Listvyanka station using a cascade impactor from Tisch Environmental (USA) for particles of 2.5 μm and smaller. These particles easily penetrate biological barriers and pose the greatest threat to living organisms. NH4⁺, Ca²⁺, NO₃⁻, and SO₄²⁻ were major ions in aerosols of this size fraction. The ionic concentrations were in the range of one standard deviation in 88% of cases. The concentrations of NH₄⁺, Ca²⁺, and K⁺ were the most frequent in the range of two standard deviations.

From 6 to 19 July 2023, we recorded the highest total concentration of ions, with maximums on 6–7 July (3.52 µg/m³), 11–12 July (3.90 µg/m³), and 18–19 July (3.16 µg/m³), as well as on 14–15 August (3.10 µg/m³). Under elevated ionic concentrations, northwesterly and north-northwesterly winds prevailed. In August, despite heavy precipitation, total ionic concentrations increased with increasing northwesterly winds. Nevertheless, as in Irkutsk, there was a decrease in the total ion content in the aerosol during periods of maximum precipitation.

Table 5. Mean concentrations (numerator) and standard deviations (denominator) of the ionic concentrations in atmospheric aerosols with a particle size of 2.5 μm at the Listvyanka station from 5 May to 5 September 2023 for different air mass directions, µg/m³.

Air Mass Direction	Na+	NH4+	K+	Mg2+	Ca2+	Cl−	NO2−	NO3−	SO42−
N	${\displaystyle \frac{0.040}{0.014}}$	${\displaystyle \frac{0.480}{0.226}}$	${\displaystyle \frac{0.081}{0.090}}$	${\displaystyle \frac{0.005}{0.003}}$	${\displaystyle \frac{0.069}{0.026}}$	${\displaystyle \frac{0.027}{0.013}}$	${\displaystyle \frac{0.001}{0.001}}$	${\displaystyle \frac{0.049}{0.012}}$	${\displaystyle \frac{1.681}{0.685}}$
NE	${\displaystyle \frac{0.044}{0.015}}$	${\displaystyle \frac{0.342}{0.016}}$	${\displaystyle \frac{0.021}{0.005}}$	${\displaystyle \frac{0.006}{0.000}}$	${\displaystyle \frac{0.068}{0.006}}$	${\displaystyle \frac{0.022}{0.011}}$	${\displaystyle \frac{0.002}{0.001}}$	${\displaystyle \frac{0.045}{0.012}}$	${\displaystyle \frac{1.078}{0.423}}$
E	${\displaystyle \frac{0.025}{0.012}}$	${\displaystyle \frac{0.220}{0.127}}$	${\displaystyle \frac{0.018}{0.005}}$	${\displaystyle \frac{0.003}{0.001}}$	${\displaystyle \frac{0.039}{0.015}}$	${\displaystyle \frac{0.022}{0.011}}$	${\displaystyle \frac{0.001}{0.000}}$	${\displaystyle \frac{0.034}{0.008}}$	${\displaystyle \frac{0.696}{0.368}}$
SE	${\displaystyle \frac{0.029}{0.021}}$	${\displaystyle \frac{0.154}{0.059}}$	${\displaystyle \frac{0.026}{0.021}}$	${\displaystyle \frac{0.003}{0.001}}$	${\displaystyle \frac{0.036}{0.008}}$	${\displaystyle \frac{0.040}{0.039}}$	${\displaystyle \frac{0.001}{0.000}}$	${\displaystyle \frac{0.040}{0.015}}$	${\displaystyle \frac{0.497}{0.146}}$
S	${\displaystyle \frac{0.018}{0.006}}$	${\displaystyle \frac{0.059}{0.007}}$	${\displaystyle \frac{0.008}{0.004}}$	${\displaystyle \frac{0.002}{0.001}}$	${\displaystyle \frac{0.029}{0.009}}$	${\displaystyle \frac{0.016}{0.007}}$	${\displaystyle \frac{0.001}{0.001}}$	${\displaystyle \frac{0.028}{0.010}}$	${\displaystyle \frac{0.269}{0.147}}$
SW	${\displaystyle \frac{0.035}{0.029}}$	${\displaystyle \frac{0.210}{0.112}}$	${\displaystyle \frac{0.042}{0.049}}$	${\displaystyle \frac{0.005}{0.006}}$	${\displaystyle \frac{0.055}{0.042}}$	${\displaystyle \frac{0.046}{0.067}}$	${\displaystyle \frac{0.002}{0.001}}$	${\displaystyle \frac{0.045}{0.025}}$	${\displaystyle \frac{0.739}{0.354}}$
WSW	${\displaystyle \frac{0.026}{0.005}}$	${\displaystyle \frac{0.255}{0.143}}$	${\displaystyle \frac{0.028}{0.018}}$	${\displaystyle \frac{0.003}{0.001}}$	${\displaystyle \frac{0.043}{0.008}}$	${\displaystyle \frac{0.024}{0.009}}$	${\displaystyle \frac{0.001}{0.001}}$	${\displaystyle \frac{0.039}{0.007}}$	${\displaystyle \frac{0.737}{0.309}}$
W	${\displaystyle \frac{0.022}{0.012}}$	${\displaystyle \frac{0.185}{0.166}}$	${\displaystyle \frac{0.030}{0.024}}$	${\displaystyle \frac{0.003}{0.002}}$	${\displaystyle \frac{0.037}{0.023}}$	${\displaystyle \frac{0.017}{0.013}}$	${\displaystyle \frac{0.001}{0.000}}$	${\displaystyle \frac{0.031}{0.014}}$	${\displaystyle \frac{0.627}{0.465}}$
WNW	${\displaystyle \frac{0.029}{0.010}}$	${\displaystyle \frac{0.280}{0.249}}$	${\displaystyle \frac{0.067}{0.075}}$	${\displaystyle \frac{0.003}{0.002}}$	${\displaystyle \frac{0.050}{0.026}}$	${\displaystyle \frac{0.016}{0.005}}$	${\displaystyle \frac{0.001}{0.001}}$	${\displaystyle \frac{0.028}{0.015}}$	${\displaystyle \frac{1.019}{0.680}}$
NW	${\displaystyle \frac{0.033}{0.018}}$	${\displaystyle \frac{0.279}{0.192}}$	${\displaystyle \frac{0.050}{0.093}}$	${\displaystyle \frac{0.003}{0.002}}$	${\displaystyle \frac{0.045}{0.023}}$	${\displaystyle \frac{0.018}{0.012}}$	${\displaystyle \frac{0.001}{0.001}}$	${\displaystyle \frac{0.035}{0.010}}$	${\displaystyle \frac{0.982}{0.594}}$

and Figure 4 show the distribution of the mean ionic concentrations at the Listvyanka station for different air mass directions.

The ionic concentrations in aerosol particles at the Listvyanka station mainly increased when air masses were transported from the northerly and southwesterly quarters along the Angara River Valley. When air masses arrived from the southerly direction, the atmosphere was the cleanest. The presence of a large water body (Lake Baikal) contributed to the purification of the atmosphere from air pollutants in this direction.

The analysis of EFs of aerosol particles at the Listvyanka station indicated that Mg²⁺ and Cl⁻ ions with values from 1 to 3 were of natural origin. K⁺, Ca²⁺, and SO₄²⁻ ions had higher EFs, with the mean values higher than in urban aerosols (mean 41–122). K⁺ and SO₄²⁻ ions had the highest EF values. The main transport of air pollutants to the southern basin of Lake Baikal recorded at the Listvyanka station comes from the enterprises of the Irkutsk–Cheremkhovo industrial agglomeration along the Angara River Valley through mesoscale boundary-layer jet transports [10].

3.3.3. Elemental Composition of Atmospheric Aerosol at the Irkutsk and Listvyanka Stations

The analysis of trace element concentration in the atmospheric aerosol of Irkutsk revealed the highest concentrations on the particles of 5.0 and 10 µm when air masses were transported from the westerly and northerly directions. We detected elevated concentrations of elements on the particles of 0.8 and 2.0 µm when air masses arrived from the northwesterly and westerly directions. Low concentrations of elements on the particles of all sizes were identified in atmospheric aerosols that arrived with air masses from the southerly quarter directions.

The enrichment factors (EF) of aerosol particles with microelements were calculated using Equation (1) relative to aluminum (Al) as the reference element. EFs of aerosol particles below 10 allowed us to combine Li, Be, Al, Ti, V, Mn, Fe, Co, Sr, Th, and U elements into the terrigenous origin group. B, Cr, Cu, Zn, As, Se, Mo, Cd, Sn, Sb, W, Ag, Pb, and Bi with EFs much greater than 10 were included in the technogenic origin group. B, Se, and Sb had the highest EFs (EF = 700–4400). Large particles (5.0 and 10 µm) from local pollution sources, regardless of air mass direction, made the greatest contribution to air pollution with these elements. The group with mixed terrigenous and non-terrigenous origin included Ba (EF = 2–19) and Ni (EF = 7–49). EFs of aerosol particles containing Ba from almost all air mass directions were elevated on the particles of 0.8 and 2.0 µm. Elevated EFs of Ni were more often observed on the particles of 2.0, 5.0, and 10.0 µm when air masses arrived from the northwesterly direction; the particles < 0.8 µm showed the highest enrichment of Ni.

The atmospheric aerosol at the Listvyanka station most often showed an increase in the concentrations of trace elements and their total amount when air masses arrived from the north and northeast. We also recorded an increase in the total amount of trace elements when air masses arrived from the southeast and northwest. The minimum of trace elements was recorded when air masses arrived from the west.

The analysis of EFs of aerosol particles with trace elements at the Listvyanka station, which accounted for 1–3, allowed us to classify Li, Be, Al, Ti, V, Mn, Fe, Co, Sr, Ba, Th, and U elements as the terrigenous origin group. Ni, Cu, and W elements were classified as the mixed origin group. Although EFs of these elements were below 10, they often increased and reached 11–72 for Cu and 11–37 for W when air mass transport was from W, WNW, NW, N, and NE as well as 11–67 for Ni with air mass transport from SE and SW. One of the reasons for the enrichment of aerosol particles at the station with typically terrigenous trace elements in summer is the increased activity of atmospheric processes that promote the uplift of dust and small mineral particles. Increased evaporation of lake water also contributes to the formation of large volumes of finely dispersed substances, which contain trace elements. Most trace elements (48%) in the aerosols of Listvyanka, such as B, Cr, Zn, As, Se, Mo, Cd, Sn, Sb, Ag, Pb, and Bi, were included in the technogenic origin group.

Elements of terrigenous origin, such as Al, Fe, and Mn, made the predominant contribution to the trace element composition of aerosols calculated using Formula (2) at the Irkutsk station. Among elements of technogenic origin, Cu and Zn showed the highest values [53]:

Contribution, % = [(C_i/MPC_cc)^βi/∑(C_i/MPC_cc)^βi]·100

(2)

where β_i is a constant for different hazard classes, C_i is the concentration of a trace element in aerosol, and MPC_cc is the average daily maximum permissible concentration of a trace element in the air of populated areas.

Table 6. Contribution of trace elements to the overall level of air pollution at the Irkutsk station, taking into account the pollution degree, % (elements in bold are of terrigenous origin).

Size, µm	B	Al	Ti	Cr	Mn	Fe	Co	Ni	Cu	Zn	Mo	Sr	Sn	Sb	Ba	Pb
0.8	0.0	1.2	0.0	0.0	1.7	93.0	0.1	0.3	1.9	0.6	0.0	0.0	0.1	0.1	0.5	0.3
2.0	0.0	1.5	0.0	0.0	2.0	93.5	0.1	0.2	1.5	0.2	0.0	0.0	0.0	0.1	0.6	0.1
5.0	0.0	2.5	0.0	0.2	3.0	90.2	0.1	1.2	1.5	0.6	0.1	0.0	0.0	0.0	0.3	0.0
10	0.0	1.5	0.0	0.0	2.6	81.1	0.1	0.4	10.8	1.5	0.1	0.0	1.4	0.0	0.2	0.0

shows the contribution of the predominant trace elements in aerosols at the Irkutsk station. The contributions are presented in relation to the corresponding MPC value for a given trace element, according to the standards in force within the Russian Federation.

In terms of the mass contributions of a certain element in aerosol, Zn, B, Al, and Fe become priority elements by mass (

Table 7. Contribution of trace elements to the overall level of air pollution at the Irkutsk station, taking into account the mean concentration (numerator–mean concentration, ng/m³; denominator–mass contribution, %). Elements in bold are of terrigenous origin.

Particle Size, µm	B	Al	Ti	Cr	Mn	Fe	Co	Ni	Cu	Zn	Mo	Sr	Sn	Sb	Ba	Pb
0.8	${\displaystyle \frac{19.0}{9.5}}$	${\displaystyle \frac{45.0}{22.6}}$	${\displaystyle \frac{2.2}{1.1}}$	${\displaystyle \frac{1.3}{0.7}}$	${\displaystyle \frac{2.0}{1.0}}$	${\displaystyle \frac{114}{53}}$	${\displaystyle \frac{0.1}{0.0}}$	${\displaystyle \frac{0.5}{0.3}}$	${\displaystyle \frac{2.1}{1.0}}$	${\displaystyle \frac{7.0}{3.5}}$	${\displaystyle \frac{0.2}{0.1}}$	${\displaystyle \frac{0.8}{0.1}}$	${\displaystyle \frac{0.2}{0.4}}$	${\displaystyle \frac{0.3}{0.1}}$	${\displaystyle \frac{2.9}{1.5}}$	${\displaystyle \frac{0.9}{0.5}}$
2.0	${\displaystyle \frac{17.7}{5.8}}$	${\displaystyle \frac{77.2}{25}}$	${\displaystyle \frac{4.4}{1.4}}$	${\displaystyle \frac{1.5}{0.5}}$	${\displaystyle \frac{3.2}{1.1}}$	${\displaystyle \frac{187}{61}}$	${\displaystyle \frac{0.1}{0.0}}$	${\displaystyle \frac{0.6}{0.2}}$	${\displaystyle \frac{2.6}{0.8}}$	${\displaystyle \frac{5.0}{1.6}}$	${\displaystyle \frac{0.2}{0.1}}$	${\displaystyle \frac{1.2}{0.1}}$	${\displaystyle \frac{0.2}{0.4}}$	${\displaystyle \frac{0.3}{0.1}}$	${\displaystyle \frac{5.0}{1.6}}$	${\displaystyle \frac{0.6}{0.2}}$
5.0	${\displaystyle \frac{21.0}{6.1}}$	${\displaystyle \frac{112}{33}}$	${\displaystyle \frac{4.7}{1.4}}$	${\displaystyle \frac{4.8}{1.4}}$	${\displaystyle \frac{4.2}{1.2}}$	${\displaystyle \frac{175}{51}}$	${\displaystyle \frac{0.1}{0.0}}$	${\displaystyle \frac{2.1}{0.6}}$	${\displaystyle \frac{2.6}{0.7}}$	${\displaystyle \frac{9.8}{2.8}}$	${\displaystyle \frac{0.4}{0.1}}$	${\displaystyle \frac{1.7}{0.1}}$	${\displaystyle \frac{0.3}{0.5}}$	${\displaystyle \frac{0.2}{0.0}}$	${\displaystyle \frac{3.2}{0.9}}$	${\displaystyle \frac{0.4}{0.1}}$
10	${\displaystyle \frac{16.1}{8}}$	${\displaystyle \frac{52}{26}}$	${\displaystyle \frac{2.8}{1.4}}$	${\displaystyle \frac{1.2}{0.6}}$	${\displaystyle \frac{2.6}{1.3}}$	${\displaystyle \frac{97}{48}}$	${\displaystyle \frac{0.1}{0.0}}$	${\displaystyle \frac{0.7}{0.3}}$	${\displaystyle \frac{7.9}{3.9}}$	${\displaystyle \frac{14}{2.8}}$	${\displaystyle \frac{0.3}{0.1}}$	${\displaystyle \frac{1.8}{2.4}}$	${\displaystyle \frac{4.8}{0.4}}$	${\displaystyle \frac{0.2}{0.1}}$	${\displaystyle \frac{1.3}{0.7}}$	${\displaystyle \frac{0.3}{0.1}}$

).

A similar analysis of data from the Listvyanka station indicated that terrigenous elements, such as Fe and Al, made the greatest contribution to the overall air pollution level; Cu, Cr, Mn, and Ni were the most noticeable among technogenic elements. Taking into account the mass of elements, the contribution of Al and Cr increased, while that of Fe decreased (

Table 8. Contribution of trace elements to the overall air pollution level at the Listvyanka station (Elements in bold are of terrigenous origin).

Parameter	Al	Cr	Mn	Fe	Co	Ni	Cu	Zn	Se	Mo	Ba	Pb
Concentration, ng/m3	199.1	12.8	1.8	101.3	0.1	2.1	1.9	5.4	0.1	0.2	3.0	0.9
1 MPC contribution,%	8.5	1.8	1.5	83.0	0.1	1.9	1.7	0.4	0.2	0.1	0.5	0.3
Mass contribution, %	59.8	3.9	0.5	30.5	0.0	0.6	0.6	1.6	0.0	0.1	0.9	0.3

¹ MPC—average daily maximum permissible concentration.

). Thus, the contribution of trace elements to the overall level of air pollution at stations, taking into account the pollution degree, differs from the contributions taking into account the mass of trace elements.

Despite some differences in concentrations, the set of elements that determine the highest air pollution at the Irkutsk and Listvyanka stations was similar. Figure 5 shows the mean concentrations in the atmosphere of particles with different size fractions in the two analyzed areas of the Baikal region.

Comparison of the results of the analysis of trace element composition in particles of different size fractions in the study areas revealed that, due to higher concentrations of elements of technogenic origin (Cr, Se, Cd, Pb, and Ag), the total amount of trace elements in atmospheric aerosols ranged from 2.0 to 2.5 µm was higher at the Listvyanka station (333 ng/m³) than at the Irkutsk station (308 ng/m³). In Irkutsk, we observed some differences in the elemental composition of large particles (10 µm) compared to other size fractions. For instance, the concentrations of Mn, Cu, Cd, and Ag were higher in the coarse–dispersed fraction, which indicates local sources of their influx into the city’s atmosphere. On the contrary, the concentrations of Be, As, Sb, Ba, Pb, V, Mo, and U were higher in the fine fraction (0.8 and 2.0 µm) than in large particles (10 µm), suggesting their transport to the observation area from more distant regional sources of air pollution.

3.3.4. Features of the Chemical Composition of the Aerosol Particles at Irkutsk and Listvyanka Stations

The stations differ in their physical and geographical locations, as well as in the level of anthropogenic impact. Irkutsk, an urban station located deep within the continent, is exposed to all anthropogenic factors. Listvyanka, a rural station, is situated near a large freshwater reservoir that acts as a filter for atmospheric impurities. Despite differences in the approaches to studying the chemical composition of atmospheric aerosols at Irkutsk and Listvyanka, where particles of various sizes (0.8 microns, 5 microns, 10 microns) were analyzed in Irkutsk, and only particles of 2.5 microns or less in Listvyanka, there is a significant similarity in particle composition and their sources. The main ions in the aerosols at both stations are NH₄⁺, Ca²⁺, and SO₄²⁻, indicating similar sources and mechanisms of formation of their chemical composition. Most of the ion concentration measurements fell within one standard deviation (83% at Irkutsk and 88% at Listvyanka), which suggests stability of concentrations within certain limits. The variability in the ion composition of aerosols at both stations was influenced by meteorological factors such as increased wind speed and precipitation. In Listvyanka, with increased ion concentrations, winds from the northwest prevailed; in Irkutsk, there was an influx of air masses from the northern and eastern directions, which is due to the peculiarities of the geographical location. In Irkutsk, local influxes of impurities from industrial areas (CHP) are especially associated with northerly and easterly winds. In Listvyanka, pollution is transported from the Irkutsk–Cheremkhovskaya industrial agglomeration along the Angara River Valley with northwesterly winds.

The analysis of the enrichment coefficients of aerosol particles made it possible to identify groups of trace elements of terrigenous origin common to both stations, namely: Li, Be, Al, Ti, V, Mn, Fe, Co, Sr, Th, and U. Elements of anthropogenic origin were also identified: B, Cr, Zn, As, Se, Mo, Cd, Sn, Sb, Ag, Pb, and Bi. At both stations, terrigenous elements such as Al and Fe make a predominant contribution to the trace element composition of aerosols, constituting a significant part of the overall pollution level. Among the anthropogenic elements in Irkutsk aerosols, Cu and Zn are prominent, while Cu, Cr, and Mn are prominent in Listvyanka. It is noteworthy that the contribution of trace elements may vary depending on local conditions and pollution sources.

The analysis of particles of different sizes indicates differences in pollution sources: large particles are primarily associated with local emissions, while small particles suggest a distant regional origin. Enrichment coefficients enable the classification of elements by their source. This comprehensive study allows for an understanding of the dynamics of atmospheric air pollution in the Irkutsk and Listvyanka regions and helps identify their main sources.

4. Conclusions

During the warm season of 2023, we analyzed the physical parameters and the chemical composition of aerosol particles with different size fractions at two air monitoring stations in the Southern Baikal region. A large data array on ionic and elemental composition of aerosol particles sized 0.8, 2.5, 5.0, and 10 µm at the Irkutsk station and 2.5 µm at the Listvyanka station revealed the main sources of their formation as well as differences in the chemical composition with certain wind directions and influx of air masses into the study area.

To confirm the impact of local, regional, and transboundary pollution sources on the composition of aerosol particles in the study areas, we calculated back trajectories of air mass motion. The northerly and northwesterly direction was predominant, which formed over industrial centers of East Siberia, amounting to 70% of cases for the Irkutsk station and up to 50% of cases for the Listvyanka station. During that period, ionic concentrations in coarse–dispersed aerosols (5–10 µm) increased, while air pollutants were transported from the nearby industrial pollution sources in the city and the large Novoirkutsk thermal power plant.

When cyclones shifted from Mongolia to the south of the Baikal region, submicron aerosols (0.8 µm) at the Irkutsk station showed an increase in the concentrations of Na⁺, Ca²⁺, Mg²⁺, K⁺, and Cl⁻ dominated by NH₄⁺ and SO₄²⁻. The cleanest air at the Irkutsk station was observed when air masses shifted from southerly to southwesterly directions, covering a forest area.

At the Listvyanka station, the ionic concentrations in aerosol particles of 2.5 µm increased during the northwesterly transport. When air masses arrived from the southerly direction, the atmosphere was the cleanest.

The analysis of 27 elements in aerosols allowed us to estimate the predominant contribution of trace elements to the overall air pollution level in the study area. Al, Fe, Mn, Cu, and Zn made the greatest contribution to air pollution at the Irkutsk station, while Fe, Al, Cu, Cr, Mn, and Ni made the greatest contribution to air pollution at the Listvyanka station.

We conclude that the dynamics of the studied elements in atmospheric aerosol in the warm season are mainly due to natural atmospheric processes during meteorological fluctuations in the region. However, it should be noted that, with certain air mass transport directions, the anthropogenic factor also has a significant impact on the formation of physical and chemical characteristics of aerosol in the Southern Baikal region during this period of the year.

In the future, in-depth investigations into the chemical composition and physical properties of atmospheric aerosol will be conducted by means of long-term monitoring.