Xueying Tian1, Kangping Cui This email address is being protected from spambots. You need JavaScript enabled to view it.1, Hwey-Lin Sheu This email address is being protected from spambots. You need JavaScript enabled to view it.2, Yen-Kung Hsieh3, Fanxuan Yu1 1 School of Resources and Environmental Engineering, Hefei University of Technology, Hefei 246011, China
2 Department of Environmental Engineering, Kun Shan University, Tainan 71070, Taiwan
3 Marine Ecology and Conservation Research Center, National Academy of Marine Research, Kaohsiung 80661, Taiwan
Received:
April 22, 2021
Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.
Revised:
May 18, 2021
Accepted:
May 18, 2021
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||https://doi.org/10.4209/aaqr.210096
Tian, X., Cui, K., Sheu, H.L., Hsieh, Y.K., Yu, F. (2021). Atmospheric Wet Deposition of PCDD/Fs in the Ambient Air. Aerosol Air Qual. Res. 21, 210096. https://doi.org/10.4209/aaqr.210096
Cite this article:
Wet deposition is an important mechanism for removing air pollutants from the atmosphere. The total PCDD/Fs-WHO2005-TEQ wet deposition from 2018–2020 was investigated for Beijing and Tianjin City in this study. In addition, the gas-particle partitioning of wet deposition, the total PCDD/Fs-WHO2005-TEQ concentrations in the rain, the PM2.5-bound total PCDD/Fs-WHO2005-TEQ content, and the PM2.5 concentration were also studied for Beijing and Tianjin City, respectively. Between 2018 to 2020, as a whole, the average seasonal variations in PCDD/F wet deposition fluxes in spring, summer, fall, and winter were 50.50, 41.47, 23.03 and 16.76 pg WHO2005-TEQ m–2 month–1, respectively, while in Tianjin, they were 35.30, 42.40, 13.37, and 14.77 pg WHO2005-TEQ m–2 month–1, respectively. Because the two cities have more rainfall in spring and summer than they do in fall and winter, rainfall has a significant influence on the wet deposition flux. In regard to PCDD/Fs-WHO2005-TEQ in the rain, in Beijing, the average total PCDD/Fs-WHO2005-TEQ concentration in the rain in spring, summer, fall, and winter were 1.70, 0.39, 1.42, and 1.52 pg WHO2005-TEQ L–1, respectively, while those in Tianjin, were 1.73, 0.42, 1.35, and 1.88 pg WHO2005-TEQ L–1, respectively. The above results show that the total PCDD/Fs-WHO2005-TEQ concentrations in the rain are significantly lower in summer, which is mainly due to the fact that in summer, the total PCDD/Fs-WHO2005-TEQ concentrations in the air are lower, and the proportion of the gas phase is increased. When the total PCDD/Fs-WHO2005-TEQ concentrations in the air are washed away by a heavy rainfall, the PCDD/F concentrations are diluted.HIGHLIGHTS
ABSTRACT
Keywords:
PM2.5, Wet deposition, PCDD/Fs, Beijing, Tianjin
Persistent organic pollutants (POPs) have characteristics that include persistence, toxicity, and biological accumulation and have a great impact on air quality (Hao et al, 2021; Sari et al, 2021). As a sub-group of persistent organic pollutants, PCDD/Fs (polydibenzo-p-dioxins and polydibenzofurans) are high similar in terms of structure and properties (Schecter et al., 2006). The toxicity of PCDD/Fs is estimated using the toxicity equivalent (TEQ) of 17 biotoxic homologues. They have high chemical stability and are difficult to be degraded in the atmosphere, soil, and other environmental media (Lee et al., 2016). PCDDs are derivatives of polydibenzo-p-dioxins; there are 75 compounds in total, seven of which have strong biotoxicity, while PCDFs, derivatives of polydibenzofuran, have 135 compounds, ten of which are toxic. Studies have shown that the long-term, stable existence of PCDD/Fs in the human body through the food chain will not only cause irreversible mutations, carcinogenesis, and teratogenicity, but will also affect fetal development (Vilavert et al., 2015). The sources of PCDD/Fs mainly include both natural and artificial sources. Industrial activities account for the largest proportion of PCDD/F human sources (Hagenmaier et al., 1994; Alcock et al., 1998). Waste incineration, the pharmaceutical industry, and pesticide production processes containing aromatic hydrocarbons and organochlorine all lead to the formation of PCDD/Fs (Ma et al., 2019; Zhan et al., 2019; Qiu et al., 2020). The exhaust gas from automobiles and motorcycles also contains PCDD/Fs (Chen et al., 2020). Studies show that the retarding fuel injection timing will lead to increased emissions, and the emissions of PCDD/Fs of heavy-duty diesel engines are different at different exhaust gas recirculation rates (Chen et al., 2019; Zhao et al., 2019). The atmospheric environment is the main PCDD/F migration and transformation route. In addition, atmospheric deposition, which involves both dry and wet deposition, is one of the important ways to remove POPs (Redfern et al., 2017). Among them, wet deposition has a significant effect on removing PCDD/Fs in the particle and gas phases in the atmosphere (Moon et al., 2005; Melymuk et al., 2011). In the case of atmospheric wet deposition, precipitation in the atmosphere such as rain, snow, or other forms of water vapor condensates can remove PCDD/Fs (Lohmann and Jones, 1998). Wet deposition flux is related to the rainfall intensity, temperature, and concentration of environmental pollutants (Kaupp and McLachlan, 1998). The concentrations of total PCDD/Fs-WHO2005-TEQ in rain can be calculated from rainfall intensity and wet deposition flux. PCDD/Fs produced by combustion exists in the atmosphere in the form of gas and particle phases (Li et al., 2008). The results show that the distribution behavior of the gas and particle phases is the main factor that determines the environmental trend of PCDD/Fs. Similarly, some studies have shown that PCDD/Fs in the gas phase exist in small amounts due to the degradation reaction in the atmospheric environment, while PCDD/Fs in the particulate phase mainly enter the ecosystem through the atmospheric environment. The gas-particle partition of PCDD/Fs in the ambient air is related to the ambient temperature, humidity, air pressure, and the compounds themselves (Wang et al., 2010; Cheruiyot et al., 2015). Generally speaking, the gas phase ratio of PCDD/Fs in summer is much higher than that in winter, and the gas phase ratio of low-molecular homologues is higher than that of high molecular homologues. This is mainly determined by the cold vapor pressure of the compound. The undercooled vapor pressure of low-chlorinated dioxins is higher than that of high-chlorinated dioxins. Therefore, low-chlorinated dioxins are more likely to accumulate in the gas phase. When the temperature drops, part of the gas phase PCDD/Fs is exchanged and transferred to the particulate phase (Oh et al., 2001). Particulate matter (PM) is an aerosol, which refers to a mixture of solid particles and liquid droplets (Ghosh et al., 2014). In many cities, it has become the primary pollutant affecting air quality and which has attracted extensive attention from people and governments around the world (Querol et al., 2004; Zavala et al., 2013; Wang et al., 2017). The biological effects of PM are mainly related to particle size, which can be divided into coarse particulate matter (PM10), fine particulate matter (PM2.5), and ultrafine particulate matter (UFPM) according to the aerodynamic diameter (Chow et al., 2015; Lu et al., 2016). The main sources include motor vehicle exhaust, dust, outdoor pollution from industrial and agricultural production processes, and indoor pollution from the burning of fuels as firewood and coal (Bilos et al., 2001; Kong et al., 2014; Alghamdi et al., 2015). PM2.5 has small diameter, significant activity, strong penetrating power, can easily carry toxic and harmful substances, and is more harmful to human health than PM10 (Dai et al., 2015). In addition, PM2.5 is an important factor causing haze, and regional air pollution seriously affects environmental air quality (Li et al., 2015). Studied have shown a strong link between air pollution from coal burning and lung cancer mortality (He et al., 1991). A positive correlation between PM2.5 and first hospital diagnoses for Alzhemimer’s disease and Parkinson’s disease dementia has also been found (Kioumourtzoglou et al., 2016). In this work, the atmospheric PCDD/F wet deposition, the gas-particle PCDD/F partition in wet deposition, the concentration of total PCDD/Fs-WHO2005-TEQ in the rain, PM2.5-bound total PCDD/Fs-WHO2005-TEQ content and PM2.5 concentration in Beijing (39°56′N, 116°20′E) and Tianjin (39°13′N, 117°2′E) in northern China were investigated for the period 2018–2020. The monthly mean concentrations of both PM2.5 and PM10, and the monthly temperature and precipitation in both cities were obtained from local air quality monitoring stations, the local weather bureau and the Statistics Yearbook of China. The total PCDD/F concentrations were simulated using a regression analysis of the PM10 concentration. Tang et al. (2017) reported that there is a high correlation between PM10 values and total PCDD/F mass concentrations. Their research included the following two regression equations: where Y1, Y2 represent the total PCDD/F concentration (pg m–3), and x represents the PM10 concentration in the ambient air (µg m–3). The final total PCDD/F concentration was the average of Y1 and Y2. Wet deposition is the removal of particles in the atmosphere by precipitation (rainfall and cloud droplets), where precipitation scavenging accounts for the majority of PCDD/Fs removed from the atmosphere through wet deposition (Huang et al., 2011). The wet deposition flux of PCDD/Fs is a combination of both vapor dissolution into rain and removal of suspended particulates through precipitation (Koester and Hites, 1992) The wet deposition fluxes of PCDD/Fs can be evaluated as: where Fw, T is the wet deposition flux of PCDD/Fs from both vapor dissolution into rain and removal of suspended particulates by precipitation; Fw, dis is the wet deposition flux contributed by vapor dissolution into rain; Fw, p is the wet deposition flux contributed by removal of suspended particulates by precipitation, and Rainfall is the monthly rainfall (m). The PCDD/F concentrations in the gas and particle phases, respectively, were calculated using a gas-particle partitioning model as shown in Eq. (6) (Yamasaki et al., 1982; Pankow, 1987; Pankow and Bidleman, 1992): where Kp is the temperature-dependent partitioning constant (m3 µg–1); TSP is the concentration of total suspended particulate matter, which was multiplied by PM10 concentration with 1.24 (µg m–3); F is the concentration of the compounds of interest bound to particles (pg m–3), and A is the gaseous concentration of the compound of interest (pg m–3). Plotting log Kp against the logarithm of the subcooled liquid vapor pressure, PL0, gives where PL0 is the subcooled liquid vapor pressure (Pa); mr is the cited slope, and br is the cited y-intercept. Complete datasets on the gas-particle partitioning of PCDD/Fs in Taiwan have been reported (Chao et al., 2004), with the values mr = –1.29 and br = –7.2 where the R2 = 0.94. These values were used in the present study for the purpose of establishing the partitioning constant (Kp) for PCDD/Fs. A previous study correlated the PL0 of PCDD/Fs with gas chromatographic retention indexes (GC-RI) on a nonpolar (DB-5) GC-column using p,p′-DDT as a reference standard. The correlation has been re-developed as follows (Hung et al., 2002): where RI represents the gas chromatographic retention indexes (Donnelly et al., 1987), T is the ambient temperature (K). From 2018–2020, the monthly average wet deposition fluxes of total PCDD/Fs-WHO2005-TEQ in Beijing and Tianjin in the ambient air are shown in Figs. 1 (a) and 1(b). And wet deposition of total PCDD/Fs-WHO2005-TEQ in some countries and regions in the world is shown in Table 1. The monthly rainfall in Beijing and Tianjin from 2018–2020 is shown in Table 2. In 2018, the monthly average wet deposition fluxes of total PCDD/Fs-WHO2005-TEQ in Beijing ranged from 0.0 to 125.6 pg WHO2005-TEQ m–2 month–1, and the annual total wet deposition flux of total PCDD/Fs-WHO2005-TEQ was 421.3 pg WHO2005-TEQ m–2 year–1. In 2019, those values ranged from 0.0 to 93.09 pg WHO2005-TEQ m–2 month–1, and the annual total wet deposition flux of total PCDD/Fs-WHO2005-TEQ was 422.2 pg WHO2005-TEQ m–2 year–1. In 2020, those values ranged from 0.13 to 62.50 pg WHO2005-TEQ m–2 month–1, and the annual total wet deposition flux of total PCDD/Fs-WHO2005-TEQ was 338.3 pg WHO2005-TEQ m–2 year–1. Rainfall has a great influence on the wet deposition flux of PCDD/Fs. Generally, an increase in rainfall will lead to an increase in the wet deposition flux. In 2018, the highest wet deposition flux in Beijing occurred in April (125.6 pg WHO2005-TEQ m–2 month–1), with 51.33 mm of rainfall. The lowest value occurred in January and February (almost zero), when there both cities had no rainfall. The month with the largest rainfall in that year was July (298.9 mm). In 2019, the highest wet deposition flux of PCDD/Fs occurred in September (93.09 pg WHO2005-TEQ m–2 month–1), when the monthly rainfall was 139.2 mm. The lowest value occurred in January, at nearly zero. The month with the highest rainfall in the year was August (151.2mm). In 2020, the highest wet deposition flux of PCDD/Fs occurred in May (62.50 pg WHO2005-TEQ m–2 month–1), when the monthly rainfall was 65.4 mm. The lowest value occurred in October (0.133 pg WHO2005-TEQ m–2 month–1), with 0.1 mm of rainfall. The month with the highest rainfall in the year is August (200 mm). The above results indicate that the rainfall intensity, the PM size, and the PCDD/F concentration were key factors affecting the wet deposition flux of PCDD/Fs. In terms of the seasonal variations, the four seasons were defined as spring (March, April, May), summer (June, July, August), fall (September, October, November), and winter (January, February and December). In 2018, the average wet deposition fluxes of PCDD/Fs in spring, summer, fall, and winter were 74.91, 56.33, 9.13, 0.06 pg WHO2005-TEQ m–2 month–1, respectively. In 2019, the average wet deposition fluxes were 42.51, 31.03, 48.68, 18.52 pg WHO2005-TEQ m–2 month–1, respectively, and in 2020, the average wet deposition fluxes were 32.73, 37.06, 11.28, 31.69 pg WHO2005-TEQ m–2 month–1, respectively. As for Tianjin, the monthly average wet deposition fluxes of total PCDD/Fs-WHO2005-TEQ in 2018 ranged from 0.0 to 101.20 pg WHO2005-TEQ m–2 month–1, and the annual total wet deposition flux of total PCDD/Fs-WHO2005-TEQ was 340.8 pg WHO2005-TEQ m–2 year–1. In 2019, the values ranged from 0 to 60.60 pg WHO2005-TEQ m–2 month–1, and the annual total wet deposition flux of total PCDD/Fs-WHO2005-TEQ was 262.6 pg WHO2005-TEQ m–2 year–1. In 2020, the values ranged from 1.96 to 61.03 pg WHO2005-TEQ m–2 month–1, and the annual total wet deposition flux of total PCDD/Fs-WHO2005-TEQ was 371.8 pg WHO2005-TEQ m–2 year–1. In terms of the influence of rainfall on wet deposition, in 2018, the highest wet deposition flux in Tianjin occurred in July (101.2 pg WHO2005-TEQ m–2 month–1), with 304 mm of rainfall. The lowest value occurred in February (almost zero), with zero rainfall. The rainfall in that month was the lowest of the year. In 2019, the highest wet deposition flux occurred in April (60.60 pg WHO2005-TEQ m–2 month–1), when the monthly rainfall was 29.3 mm. The lowest value occurred in January (almost zero), with zero rainfall. The month with the highest rainfall in the year was July (160.4 mm). In 2020, the highest wet deposition flux occurred in May (61.04 pg WHO2005-TEQ m–2 month–1), which was 62.3 mm of monthly rainfall. The lowest value occurred in October (1.96 pg WHO2005-TEQ m–2 month–1), which was 1.3 mm of rainfall. The month with the highest rainfall in the year was August (135.7 mm). The above results demonstrated that rainfall has a great influence on wet deposition flux of PCDD/Fs, but it is not the only factor. With regard to seasonal variations, in 2018, the average wet deposition fluxes in spring, summer, fall, and winter were 34.62, 59.07, 10.16, 9.75 pg WHO2005-TEQ m–2 month–1, respectively. In 2019, they were 28.83, 34.36, 12.48, 11.87 pg WHO2005-TEQ m–2 month–1, respectively. In 2020, they were 42.44, 33.78, 17.46, 22.69 pg WHO2005-TEQ m–2 month–1, respectively. By analyzing the data from the two cities, it can be seen that, in Beijing from 2018 to 2020, the average wet deposition fluxes of PCDD/Fs in spring, summer, fall, and winter were 50.50, 41.47, 23.03 and 16.76 pg WHO2005-TEQ m–2 month–1, respectively. The highest value was found in spring, followed by summer and fall, and the lowest value was found in winter. However, in Tianjin, from 2018 to 2020, the seasonal average wet deposition fluxes of PCDD/Fs were 35.30, 42.40, 13.37 and 14.77 pg WHO2005-TEQ m–2 month–1, respectively. The highest value was found in summer, followed by spring and winter, and the lowest value was found in fall. This is because there are many factors affecting the wet deposition flux of PCDD/Fs, such as rainfall intensity, PCDD/F concentration, PM2.5 concentration, temperature, and wind speed, all of which will affect the results of PCDD/F wet deposition flux (Suryani et al., 2015). Table 1 showed the wet deposition of total PCDD/Fs-WHO2005-TEQ in some countries and regions in the world. The area with more precipitation did have more amount of PCDD/F wet deposition. The rainfall intensity of Beijing and Tianjin in 2018, 2019 and 2020 are shown in Table 2. As for Beijing, in 2018, the rainfall ranged between 0.0 and 298.8 mm and averaged 53.29 mm; in 2019, it ranged from 0.0 to 151.2 mm and averaged 48.32 mm, and in 2020, it ranged between 0.1 and 200.0 mm, with an average of 46.23 mm. In 2018, the highest rainfall occurred in July (298.8 mm) and the lowest values occurred in January (almost zero) and February (almost zero). In both 2019 and 2020, the highest rainfall occurred in August, where the values were 151.2 and 200.0 mm, respectively. In 2019 and 2020, the lowest rainfall occurred in January and October, respectively, when the rainfall was almost zero. For Tianjin, in 2018, the rainfall ranged between 0.0 and 153.8 mm and averaged 50.18 mm; in 2019, it ranged from 0.0 to 160.4 mm and averaged 34.16 mm; while in 2020, it ranged between 0.1 and 135.7 mm and averaged 42.99 mm. In 2018, the highest rainfall occurred in August (153.8 mm), and the lowest value occurred in February (almost zero). In 2019, the highest rainfall occurred in July (160.4 mm), and the lowest value occurred in January (almost zero). In 2020, the highest rainfall occurred in August (135.7 mm) and the lowest value occurred in December (0.1 mm). With regard to seasonal variations, for Beijing, in 2018, the rainfall in spring, summer, fall and winter were 21.6, 181.2, 47.00, and 40.67 mm respectively; in 2019, in that order, it was 25.37, 98.40, 67.23, 2.27 mm, respectively, and in 2020, it was were 30.73, 109.2, 31.50, 13.47 mm., respectively. The results shown that in Tianjin, during 2018, the rainfall in spring, summer, fall, and winter was 19.60, 167.5, 11.87, 1.87 mm, respectively. In 2019 it was 15.8, 104.1, 13.53, 3.20 mm, respectively, and in 2020 it was 34.33, 90.13, 39.67, 7.83 mm, respectively. On the whole, in Beijing, the average rainfall in spring, summer, fall, and winter from 2018 to 2020 was 25.90, 129.6, 48.58, and 18.74 mm, respectively, while in Tianjin, it was 23.24, 93.13, 21.69, and 4.3 mm respectively. In general, the rainfall in both cities showed obvious seasonal changes, which were all the highest in summer and lowest in winter. According to the previous discussion on wet deposition flux, the lowest value usually occurs in winter, which indicates that the influence of precipitation and number of rainy days on PCDD/F wet deposition flux varies significantly (Lee et al., 2016). Beijing’s climate is a typical semi-humid continental monsoon climate in the northern temperate zone, with summers characterized by high temperatures and rain and winters that are cold and dry. The seasonal distribution of precipitation is very uneven. In 2020, more than 59.0% of the precipitation was concentrated in June, July, and August. Specifically, 17.8% of the annual rainfall was in July, and 36.1% was in August. Tianjin is located in the north temperate zone on the east coast of the Eurasian continent in the middle latitudes. It is mainly dominated by monsoon circulation, and it is a region where the East Asian monsoon is prevalent. It is in the warm temperate zone characterized by a semi-humid monsoon climate. Because it is close to Bohai Bay, the influence of the marine climate on Tianjin is obvious. The main climate features are four distinct seasons: a windy spring with drought and little rain, a hot summer, during which the rain is concentrated, a cool, moderate fall and a cold dry winter with little snow. Wet deposition refers to the process in which precipitation such as rain, snow and other forms of water vapor in the atmosphere play a role in removing air pollutants. The gas-particle partitioning of PCDD/Fs is an important factor affecting atmospheric dry and wet deposition. Table 3 shows the monthly gas-particle partition contribution on wet deposition in the ambient air in Beijing and Tianjin for the period 2018–2020. In 2018, 2019 and 2020, in Beijing, the monthly contribution in the particle phase ranged between 73.5% and ~100%, 73.6% and ~100% and 75.5% and 99.7%, respectively and averaged 91.4%. In Tianjin, the monthly contributions ranged between 71.4% and 100%, 73.5% and ~100% and 74.5% and 99.7%, respectively and averaged 90.8%. In terms of seasonal variations, during 2018–2020, in Beijing, the seasonal contribution fractions on PCDD/F wet deposition flux by the gas phase were 2.8%, 22.4%, 5.4% and 0.2% in spring, summer, fall, and winter, respectively, and those for Tianjin were 3.4%, 2.5%, 5.5% and 0.2%, respectively. The above results revealed that the higher temperature in summer (21.3°C–27.8°C) led to a higher seasonal percentage of PCDD/F wet deposition flux in the gas phase, while the lower temperature (between –7.0°C and 0.7°C) in winter resulted in a lower percentage contribution by the gas phase. The monthly average concentrations of total PCDD/Fs-WHO2005-TEQ in the rain can be calculated from the rainfall and wet deposition fluxes. The monthly average total PCDD/Fs-WHO2005-TEQ concentrations in the rain from 2018–2020 in Beijing and Tianjin are shown in Figs. 2(a) and 2(b), respectively. It can be seen that the monthly average total PCDD/Fs-WHO2005-TEQ concentration in the rain in Beijing in 2018 ranged between 0.32 and 4.23 pg WHO2005-TEQ L–1 and averaged 1.52 pg WHO2005-TEQ L–1, where July had the lowest (0.32 pg WHO2005-TEQ L–1), and November had the highest (4.23pg WHO2005-TEQ L–1). As to the seasonal variations, the average total PCDD/Fs-WHO2005-TEQ concentrations in the rain were 2.13, 0.40, 1.97, and 1.60 pg WHO2005-TEQ L–1 in spring, summer, fall, and winter, respectively. During 2019, the monthly average total PCDD/Fs-WHO2005-TEQ concentrations in the rain ranged between 0.26 and 2.02 pg WHO2005-TEQ L–1 and averaged 1.25 pg WHO2005-TEQ L–1, where August had the lowest (0.26 pg WHO2005-TEQ L–1), and April had the highest (2.02 pg WHO2005-TEQ L–1). As to the seasonal variations, the average total PCDD/Fs-WHO2005-TEQ concentrations in the rain were 1.76, 0.37, 1.25, and 1.61 pg WHO2005-TEQ L–1 in spring, summer, fall, and winter, respectively. During 2020, the monthly average total PCDD/Fs-WHO2005-TEQ concentrations in the rain ranged between 0.30 and 1.48 pg WHO2005-TEQ L–1 and averaged 1.00 pg WHO2005-TEQ L–1, where August had the lowest (0.30 pg WHO2005-TEQ L–1), and January had the highest (1.48 pg WHO2005-TEQ L–1). As to the seasonal variations, the average total PCDD/Fs-WHO2005-TEQ concentrations in the rain were 1.20, 0.41, 1.04, and 1.34 pg WHO2005-TEQ L–1 in spring, summer, fall, and winter, respectively. As for Tianjin, during 2018, the monthly average concentration of total PCDD/Fs-WHO2005-TEQ in the rain ranged between 0.33 and 2.49 pg WHO2005-TEQ L–1 and averaged 1.36 pg WHO2005-TEQ L–1, which indicated that the July had the lowest (0.33 pg WHO2005-TEQ L–1), and March had the highest (2.49 pg WHO2005-TEQ L–1). As to the seasonal variations, the average total PCDD/Fs-WHO2005-TEQ concentrations in the rain were 1.91, 0.40, 1.39, and 1.73 pg WHO2005-TEQ L–1 in spring, summer, fall, and winter, respectively. During 2019, the monthly average concentrations of total PCDD/Fs-WHO2005-TEQ in the rain ranged between 0.30 and 2.55 pg WHO2005-TEQ L–1 and averaged 1.43 pg WHO2005-TEQ L–1, which indicated that July had the lowest (0.30 pg WHO2005-TEQ L–1), and January had the highest (2.55 pg WHO2005-TEQ L–1). As to the seasonal variations, the average total PCDD/Fs-WHO2005-TEQ concentrations in the rain were 1.80, 0.39, 1.45, and 2.09 pg WHO2005-TEQ L–1 in spring, summer, fall, and winter, respectively. During 2020, the monthl average concentrations of total PCDD/Fs-WHO2005-TEQ in the rain ranged between 0.32 and 2.39 pg WHO2005-TEQ L–1 and averaged 1.23 pg WHO2005-TEQ L–1, which indicated that August had the lowest (0.32 pg WHO2005-TEQ L–1), and January had the highest (2.39 pg WHO2005-TEQ L–1). As to the seasonal variations, the average total PCDD/Fs-WHO2005-TEQ concentrations in the rain were 1.48, 0.46, 1.22, and 1.83 pg WHO2005-TEQ L–1 in spring, summer, fall, and winter, respectively. The above results showed that the total PCDD/Fs-WHO2005-TEQ concentration in the rain was significantly lower in summer (averaged 0.03 pg-WHO2005-TEQ m–3), which was mainly because in summer the total PCDD/Fs-WHO2005-TEQ concentration in the air is lower (averaged 0.41 pg WHO2005-TEQ L–1), and the proportion of the gas phase is increased. When the total PCDD/Fs-WHO2005-TEQ concentration in rain is diluted by a heavy rainfall, the PCDD/F concentration is diluted by this greater amount of rain (Wang et al, 2018). However, in winter, the total PCDD/Fs-WHO2005-TEQ concentrations in rain were higher, which was due to the low temperature in winter, which resulted in a greater more fraction of PCDD/Fs being adsorbed into the granular phase and easily scavenged by the precipitation (Zhu et al., 2017b). Relevant studies have shown that in summer, the total PCDD/Fs-WHO2005-TEQ concentrations in counties in Asia accounts for 36.4% to 71.5% of the total concentration in the particle phase. The PM2.5-bound total PCDD/Fs-WHO2005-TEQ content in Beijing and Tianjin in 2018, 2019, and 2020 are shown in Figs. 3(a) and 3(b). As for Beijing, the PM2.5-bound total PCDD/Fs-WHO2005-TEQ content ranged between 0.10 and 0.84 ng-WHO2005- TEQ g–1, with an average of 0.51 ng-WHO2005-TEQ g–1 in 2018. It ranged between 0.13 and 0.78 ng-WHO2005-TEQ g–1, with an average of 0.51 ng-WHO2005-TEQ g–1 in 2019. In 2020, the level of PM2.5-bound total PCDD/Fs-WHO2005-TEQ ranged between 0.12 and 0.86 ng-WHO2005-TEQ g–1 and averaged 0.48 ng-WHO2005-TEQ g–1. In the three years under observation, the highest PM2.5-bound total PCDD/Fs-WHO2005-TEQ content in 2018 and 2020 was in December (0.84 ng-WHO2005-TEQ g–1, 0.86 ng-WHO2005-TEQ g–1), and the highest PM2.5-bound total PCDD/Fs-WHO2005-TEQ contents in 2019 was in November (0.78 ng-WHO2005-TEQ g–1). July was consistently the month with the lowest PM2.5-bound total PCDD/Fs-WHO2005-TEQ content (0.10 ng-WHO2005-TEQ g–1, 0.13 ng-WHO2005-TEQ g–1, 0.12 ng-WHO2005-TEQ g–1). With regard to Tianjin, the PM2.5-bound total PCDD/Fs-WHO2005-TEQ content in 2018 ranged between 0.12 and 0.87 ng-WHO2005-TEQ g–1, with an average of 0.47 ng-WHO2005-TEQ g–1. In 2019, it ranged from 0.10 to 0.78 ng-WHO2005-TEQ g–1 and averaged 0.48 ng-WHO2005-TEQ g–1. During 2020, the PM2.5-bound total PCDD/Fs-WHO2005-TEQ content ranged between 0.13 and 0.75 ng-WHO2005-TEQ g–1 and averaged 0.45 ng-WHO2005-TEQ g–1. In the three years under observation, the highest PM2.5-bound total PCDD/Fs-WHO2005-TEQ contents were all occurred in April (0.87 ng-WHO2005-TEQ g–1, 0.78 ng-WHO2005-TEQ g–1 and 0.75 ng-WHO2005-TEQ g–1). The lowest PM2.5-bound total PCDD/Fs-WHO2005-TEQ content in 2018 and 2019 was in July (0.10 ng-WHO2005-TEQ g–1, 0.13 ng-WHO2005-TEQ g–1), and the lowest PM2.5-bound total PCDD/Fs-WHO2005-TEQ content in 2020 was in August (0.13 ng-WHO2005-TEQ g–1). When regard to seasonal variations, for Beijing, in 2018, the PM2.5-bound total PCDD/Fs-WHO2005-TEQ content in spring, summer, fall and winter was 0.63, 0.15, 0.49, and 0.76 ng-WHO2005-TEQ g–1, respectively, and in 2019, it was 0.7, 0.17, 0.55 and 0.62 ng-WHO2005-TEQ g–1, respectively. In 2020, it was 0.22, 0.06, 0.19, and 0.25 ng-WHO2005-TEQ g–1, respectively. It was found that, in Beijing from 2018 to 2020, the average PM2.5-bound total PCDD/Fs-WHO2005-TEQ content in summer was approximately 76.8%, 69.7%, and 77.2% lower than that in the other three seasons (spring, fall and winter). The three-year average summer ambient temperature in Beijing was 26.2°C, which was much higher than the 14.5°C in spring, 13.0°C in fall and –3.2°C in winter. For Tianjin, in 2018, the PM2.5-bound total PCDD/Fs-WHO2005-TEQ content in spring, summer, fall, and winter was 0.67, 0.16, 0.47, and 0.60 ng- WHO2005-TEQ g–1, respectively. In 2019, it was 0.68, 0.16, 0.54, and 0.53 ng-WHO2005-TEQ g–1, respectively, and in 2020, it was 0.03, 0.01, 0.02, and 0.04 ng-WHO2005-TEQ g–1, respectively. The average PM2.5-bound total PCDD/Fs-WHO2005-TEQ content in summer in Tianjin was approximately 76.4%, 68.5%, and 72.2% lower than that in the other three seasons (spring, fall and winter). In Tianjin, the situation was similar. The three-year average summer ambient temperature in Tianjin was 27.1°C, which was much higher than the 15.5°C in spring,16.9°C in fall and 0°C in winter. This was because with the increase in ambient temperature, more of the total PCDD/Fs-WHO2005-TEQ concentration evaporates from the particle phase to the gas phase, resulting in a decrease in the average PM2.5-bound total PCDD/Fs-WHO2005-TEQ content. The PM2.5 concentration not only affects human health, but also can reflect the PCDD/F concentration in a given area. This is because the total PCDD/Fs-WHO2005-TEQ concentration in ambient air mainly comes from the particulate phase. The monthly average PM2.5 concentrations in the ambient air of Beijing and Tianjin are shown in Table 4 for the period between 2018 and 2020. As shown in the Table 4, during 2018–2020 in Beijing, the PM2.5 concentration ranged between 28.0 and 82.0, between 23.0 and 53.0, and between 24.0 and 62.0 µg m–3, and averaged 47.3, 42.0 and 37.9 µg m–3, respectively. Over the three years examined, the highest PM2.5 concentration occurred in 2018, followed by 2019, and the lowest was in 2020. The annual average PM2.5 concentration was compared between 2018 and 2020, where it was concluded that it was reduced by approximately 19.9%. The decrease in PM2.5 concentration is partly due to the stricter emission regulations for pollutants in Beijing, the capital of China, and partly due to people’s increased awareness of environmental protection and efforts. As a whole, the PM2.5 three-year average concentration in Beijing ranged between 23.0 and 82.0 µg m–3, with an average of 42.4 µg m–3. The highest monthly concentration of PM2.5 occurred in March (82.0 µg m–3), while the lowest one occurred in August (23.0 µg m–3). As for Tianjin, over the course of the three years, the highest PM2.5 concentration occurred in 2019, at 25-81 µg m–3, with an average of 51.3 µg m–3; followed by 2018, which range from 27–79 µg m–3, with an average of 48.6 µg m–3. In 2020, ranged from 29–101 µg m–3, with an average of 48.0 µg m–3. These results indicate that from 2018 to 2020 the annual average PM2.5 concentration fell from 51.3 to 48.0 µg m–3, falling by approximately 6.4%. However, the highest values increased by 27.8% from 2020 (101 µg m–3) to 2018 (79 µg m–3). As a whole, the PM2.5 concentrations for these three years in Tianjin ranged between 25 and 101 µg m–3, with an average of 49.3 µg m–3. This indicates that the PM2.5 level in Tianjin was higher than that in Beijing. This may due to the fact that Tianjin’s coal consumption is much higher than Beijing’s, and Beijing has better air pollution control measures. Although Tianjin’s air quality has improved annually, these PM2.5 concentrations were still well above the WHO air quality regulated standard (10 µg m–3). Therefore, effectively control of PM2.5 emissions must be accomplished to achieve sustainable economic and environmental development in Tianjin. As for Beijing, the average PM2.5 concentrations in spring, summer, fall, and winter were 62.0, 39.3, 47.0, and 40.7 µg m–3 in 2018, respectively, and those during 2019 were 45.7, 33.0, 40.0, and 49.3 µg m–3, respectively. Those in 2020 were 34.0, 36.7, 34.3, and 49.7 µg m–3, respectively. For Tianjin, during 2018, the average PM2.5 concentrations in spring, summer, fall, and winter were 52.3, 35.7, 51.0, and 55.3 µg m–3, respectively, and those in 2019 were 48.0, 36.3, 47.3, and 73.3 µg m–3, respectively. Those in 2020 were 39.3, 37.7, 43.3, and 71.7 µg m–3, respectively. As can be seen from the above results, the PM2.5 concentration undergoes significant seasonal variations. The highest values always occurred in winter and the lowest always occurred in summer, while the values in spring and fall were similar and in the middle levels. As a whole, Beijing’s PM2.5 concentration in summer (35.3 µg m–3) was 32.0% lower than that in winter (46.6 µg m–3) based on a three-year average, and the values of Tianjin in summer (36.6 µg m–3) were 82.5% in magnitude lower than those in winter (66.8 µg m–3). The PM2.5 concentration is highest in winter for the following reasons. Cold temperatures in winter enhance the stability of the atmosphere and hinder the vertical convection of the air, thus resulting in the accumulation of PM2.5 in the ambient air. In addition, heating in northern cities in winter significantly increases the amount of both coal and biomass that are burned, and lower temperatures increase vehicle exhaust emissions as well. The lowest PM2.5 concentrations in summer were due to the hot, rainy summer when the instability of the atmosphere is conducive to vertical dispersion and increases in atmospheric humidity, which reduce the PM2.5 concentration in the ambient air.1 INTRODUCTION
2 METHODS
2.1 Atmospheric Wet Deposition of PCDD/Fs
2.2 Gas-Particle Partitioning
3 RESULTS AND DISCUSSION
3.1 Wet Deposition Flux of PCDD/FsFig. 1. Monthly average wet deposition fluxes of total PCDD/Fs-WHO2005-TEQ in Beijing and Tianjin in 2018, 2019, and 2020, respectively.
3.2 Rainfall Intensity
3.3 Gas-Particle Partitioning of Wet Deposition
3.4 Total PCDD/Fs-WHO2005-TEQ Concentration in the RainFig. 2. Monthly average concentrations of total PCDD/Fs-WHO2005-TEQ in the rain in Beijing and Tianjin in 2018, 2019, and 2020.
3.5 PM2.5-bound Total PCDD/Fs-WHO2005-TEQ ContentFig. 3. PM2.5-bound total PCDD/Fs-WHO2005-TEQ content in Beijing and Tianjin in 2018, 2019, and 2020, respectively.
3.6 PM2.5 Concentration
4 CONCLUSION
REFERENCES