Rainwater is an essential pathway to remove fine particulate matter and dissolved atmospheric pollutants (e.g., SO2, HNO3, and NH3). Acid rain (pH < 5.6) has been a severe environmental issue in China since the 1970s, adversely impacting ecosystem health. This study focuses on the influence of anthropogenically induced anions (SO42– and NO3) and alkaline cations (Ca2+ and NH4+) on acid rain in Chinese cities. In this review, cities with high population density east of the Hu Huanyong Line that divides China geographically according to its uneven economic development were studied. Coastal and central areas of China to the east of the line are characterized by a much faster developing economy and rapid urbanization. The observed trends and spatial variability of acidity and chemical composition in rainwater are discussed in relation to industrialization and environmental changes in China. Over the past 3½ decades, the precipitation pH in the urban regions has exhibited reduced acidity. A mixed nitric–sulfuric acid rain type has become prominent due to the significant decrease in SO42– via desulfurization. Ca2+ levels have decreased, while NH4+ has increased slightly due to more vehicular transportation. In addition, the neutralization capacity of Ca2+ and NH4+ has decreased from north to south. Overall, the acid rain problem in Chinese cities has been alleviated in recent years.

1.1. Far-past review

Acid rain, defined as rainwater with a pH < 5.6, has become one of China’s most prominent environmental problems (Marion, 1998; Seinfeld, 1998; Aas et al., 2007; Niu et al., 2014). The harm caused by acid rain includes soil acidification, degradation of the soil agricultural ecosystem, forest decline, and adverse health impacts (Bian and Yu, 1992; Menz and Seip, 2004; Rice and Herman, 2012; Zhu et al., 2016). Severe acid rain is often caused by anthropogenic emission of SO2 and NOx, arising from massive urbanization, industrialization, and transportation (Zhang et al., 2017a; Xu et al., 2020). With the acceleration of industrialization and increasing energy demand, China’s dependence on fossil fuels since the 1970s has resulted in frequent acid rain (Zhao et al., 1988; Han and Liu, 2006; Wu et al., 2012; Zhou et al., 2019). Over the past four decades, China has become the third largest region globally to suffer from acid rain, behind Northeastern America and Central Europe (Wang and Wang, 1995; Ito et al., 2002; Zhang et al., 2010).

Since 1990, acid rain has generally occurred in southwestern China, particularly in the southern Yangtze River, eastern Qinghai-Tibet Plateau, and the Sichuan Basin. From 1997 through 2002, acid rain prevailed over approximately 30% of the land area in northern, eastern, and southern China (Xu et al., 2009; Han et al., 2010b; Cheng et al., 2011; Lu et al., 2011; Zhang et al., 2012). Between 2003 and 2006, acid rain episodes spread to northern China, including Taiyuan city, Beijing, Liaoning province, and Jilin province (Tang et al., 2010; Wang and Xu, 2011; Luo et al., 2013). Due to rapid urbanization and industrialization, amid incomplete implementation of government control policies before 2006, acid rain was severe in developed cities (such as Guangzhou and Chengdu) in southern China.

1.2. Recent-past review

The severity of acid rain in China in recent decades has been attracting research attention, particularly in relation to the chemical composition of rainwater. Previous cases of acid rain were mainly caused by economic growth and human activities, while the recent alleviation is credited to Chinese government control policies (Huang et al., 2008; Cao et al., 2009; Han et al., 2010b; Liu et al., 2013; Bai and Wang, 2014; Rao et al., 2015; Xiao, 2016; Xing et al., 2017; Zhong et al., 2018 ; Zeng et al., 2019; Xu et al., 2020). In the mid-1990s, several policies, including energy structure changes, energy savings, and emission reduction, were first introduced but not fully implemented (e.g., Zheng et al., 2020).

The SO2 emission in China has increased continuously since 1980, reaching >33 million tons in 2006 (Duan et al., 2016; Zheng et al., 2020). It began to decrease in 2006 due to the wide application of flue-gas desulfurization (FGD) in power plant units (Kurokawa et al., 2013; Duan et al., 2016). Still, the SO2 emission load was approximately 28 million tons in 2010 (Li et al., 2017a), too high to be ignored (Kurokawa et al., 2013). Similarly, using selective catalytic reduction (SCR) in coal-fired power plants has lowered NOx emissions since 2012 (Wang et al., 2014b).

Since 1982, nationwide surveys of environmental quality indicators (such as acid rain), sponsored by the Chinese Ministry of Environmental Protection Administration (reorganized as the Ministry of Ecology and Environment of the Peoples’ Republic of China after 2018), have been carried out annually (Wang and Wang, 1995; Fujita et al., 2000).

Acid rain frequency is the proportion of acid rain in the total number of rain events over a period. Regions with acid rain frequency >10% are regarded as acid rain areas. According to the State of the Environment Bulletin of China, the acid rain area covers approximately 530,000 km2, accounting for 5.5% of China’s land area. Severe acid rain (pH < 4.5) areas account for approximately 0.6% of land area, mainly located in the southeast and coastal cities. Recently, acid rain in China has significantly improved; however, with ongoing urbanization and economic development, reducing acid rain and other chemical compositions in rainwater remain imperative.

Meanwhile, fine particles (PM2.5) are primary pollutants of substantial public concern in urban cities (Wei et al., 2019; Wei et al., 2021b). Through wet precipitation, rainwater scavenges air pollutants from the air (Niu et al., 2014; Rao et al., 2016; Wei et al., 2020; Wei et al., 2021a). Thus, the chemical composition of rainwater can serve as a tracer for air pollution (Liu et al., 2013; Niu et al., 2014; Rao et al., 2015; Zheng et al., 2020) and monitors the impact of natural and anthropogenic sources on rainwater (Akpo et al., 2015).

The primary chemical constituents of rainwater are divided into cations (K+, Na+, Ca2+, Mg2+, and NH4+) and anions (F, SO42–, NO3, and Cl). Of the anions, SO42– and NO3 originate from SO2 and NOx and are the main contributors to rainwater acidification (Roy et al., 2016; Singh et al., 2016). Investigating the chemical composition of rainwater facilitates understanding of the air pollutant cycles by identifying sources such as local natural sources (Dordevic et al., 2005; Larssen et al., 2006), long-range transport, dust (Gioda et al., 2013; Li et al., 2016), and anthropogenic activities (Han et al., 2011; Xiao, 2016; Zhang et al., 2017a). For example, Ca2+and Mg2+ may be attributed to soil dust, while SO42– and NO3 may be derived from human activities such as fossil fuel combustion (Ciezka et al., 2016; Zeng et al., 2019).

Acid rain is reduced by Ca2+ and NH4+ in a neutralization process (Zeng et al., 2020). Historically, acid rain occurred primarily in southern China, even though SO2 levels were also high in northern China (Wang and Wang, 1995; Zhao et al., 1988; Fujita et al., 2000). However, the high SO2 concentration in the north is not accompanied by acid rain because CaCO3 and NH3, which are essential neutralizing compounds, are prominent therein (Tang et al., 2005; Xu and Han, 2009; Wang et al., 2012; Wu et al., 2016). Between 1980 and 1996, NH3 emissions initially increased, before decreasing, due to a reduction in the usage of ammonium bicarbonate fertilizer (Duan et al., 2016; Kang et al., 2016). Also, because northern China has more desert regions than the south, the former has abundant soil dust with high alkaline salts that neutralize acid rain (Zhao et al., 1988; Xu and Han, 2009; Xu et al., 2009; Han et al., 2010a; Xu et al., 2015; Wu et al., 2016). Therefore, understanding the influence of local environmental characteristics on the chemical composition of rainwater is essential. However, emissions of materials that are sources for alkaline ions in precipitation increased with the growth of urbanization from construction materials and vehicle emissions, resulting in neutralization of the acid rain (Han et al., 2011; Wu et al., 2012; Han et al., 2019; Zhou et al., 2019). These studies have indicated that the decreasing trend in acid rain in North and South China is due to ubiquitous urbanization.

The pH data are not enough to measure the improvement of atmospheric quality induced by wet precipitation, although pH directly reflects the acidity of rainwater. Therefore, the nature and number of ions in rainwater need to be considered. Previous studies have reported that Na+, K+, and Mg2+ account for a minor proportion of the total ions in urban areas (Xiao et al., 2013; Wang et al., 2018). These ions (Na+, K+, and Mg2+) are mainly from marine sources, while SO42–, NO3, Ca2+, and NH4+ are primarily derived from crustal sources such as urban construction, agricultural activities, and vehicle emission (Moreda-Piñeiro et al., 2014; Fu et al., 2017; Warner et al., 2017; Han et al., 2019; Zeng et al., 2019).

In China, rainwater variations have impacted overall Pan-Pacific region’s atmospheric conditions and quality over several decades. The pH value reflects the acidity of rainwater, and an increasing pH value trend shows a decreasing acidity [H+] in rainwater. Therefore, this review focuses on SO42–, NO3, Ca2+, NH4+, and pH values to investigate if and how the chemical constituents of rainwater influence severe atmospheric environmental problems in China, especially in urban metropolises.

All data in the figures and tables are volume-weighted mean (VWM) values from published scholarly articles (Table S1). The VWM was calculated as follows: Xvwm = (X1P1 + X2P2 +…+ XnPn)/(P1 + P2 +…+ Pn), where Xn and Pn represent analyte (ion concentration or pH) value and rainwater volume collected in raining event n, respectively.

The sampling and analytical methods for the rainwater are referenced accordingly (Han et al., 2019). The standard GBW08606 validated the analytical reliability of the ion concentrations (Tripathee et al., 2020). Further quality control of the gathered data was done according to the Environmental Protection Agency (EPA) statistical method (EPA, 2006; Tang et al., 2010). Even though researchers used different instruments and methods, their reported analysis precision and reproducibility of results were consistently better than 5% (Han et al., 2011; Wu et al., 2012; Han et al., 2019).

Rainwater data from 24 Chinese cities (Figure 1) that span over 3½ decades were collected and compared in this study. As shown in Figure 1, the Hu Huanyong Line (Hu Line) divides China geographically into two regions based on the pattern of urbanization (Chen et al., 2016; Qi et al., 2016). The eastern area is characterized by faster urbanization, having a denser human population than the west (Chen et al., 2019). Based on the geographical and developmental characteristics, the 24 cities can be categorized into four groups: northern cities in northern provinces, southern cities in southern provinces, metropolises, and southeast coastal cities. The northern provinces include Henan province (Zhengzhou city and Anyang city), Shaanxi province (Xi’an city), Liaoning province (Dalian city and Anshan city), and Shandong province (Qingdao city). Rainwater data of Xi’an city and Anyang city from 2000 to 2015 were used, while data from before 2006 were used for other cities. The southern provinces include Sichuan province (Chengdu city, Leshan city, and Meishan city), Jiangsu province (Nanjing city, Changzhou city, and Taizhou city), Hunan province (Changsha city), and Chongqing city. For Chengdu city and Nanjing city, only rainwater data up to 2006 were used. The metropolises included Beijing, Guangzhou, and Shanghai, among which Guangzhou and Shanghai are southern coastal cities, while Beijing is in the north. These three cities are characterized by heavy industry, a strong economy, a high-density human population, and a sophisticated transportation network (Zhang et al., 2019). Guangzhou is the most developed city in the Pearl River Delta (Zeng and Han, 2020a; Zeng and Han, 2020b), and only data from before 2008 for Guangzhou were used. However, the data from Beijing and Shanghai spanned over 3.5 decades. The southern and southern coastal cities include Nanping city, Foshan city, Guilin city, Nanning city, Yingtan city, Ji’an city, and Nanchang city; rainwater data from before and after 2010 were used for these cities.

Figure 1.

The location of rainwater data sources from cities in China. The city locations are numbered according to (1) Zhengzhou city, (2) Anyang city, (3) Xi’an city, (4) Dalian city, (5) Anshan city, (6) Qingdao city, (7) Chongqing city, (8) Chengdu city, (9) Meishan city, (10) Leshan city, (11) Nanjing city, (12) Changzhou city, (13) Taizhou city, (14) Shanghai, (15) Changsha city, (16) Guangzhou city, (17) Foshan city, (18) Nanping city, (19) Guilin city, (20) Nanning city, (21) Yingtan city, (22) Nanchang city, (23) Ji’an city. Hu Line: The line from Tengchong city to Heihe city reveals the huge spatial differentiation of China’s population distribution, and the east of the line is the densely populated and economically developed region. DOI: https://doi.org/10.1525/elementa.2021.00142.f1

Figure 1.

The location of rainwater data sources from cities in China. The city locations are numbered according to (1) Zhengzhou city, (2) Anyang city, (3) Xi’an city, (4) Dalian city, (5) Anshan city, (6) Qingdao city, (7) Chongqing city, (8) Chengdu city, (9) Meishan city, (10) Leshan city, (11) Nanjing city, (12) Changzhou city, (13) Taizhou city, (14) Shanghai, (15) Changsha city, (16) Guangzhou city, (17) Foshan city, (18) Nanping city, (19) Guilin city, (20) Nanning city, (21) Yingtan city, (22) Nanchang city, (23) Ji’an city. Hu Line: The line from Tengchong city to Heihe city reveals the huge spatial differentiation of China’s population distribution, and the east of the line is the densely populated and economically developed region. DOI: https://doi.org/10.1525/elementa.2021.00142.f1

Close modal

3.1. Chemical composition of rainwater in China

3.1.1. Rainwater chemistry of southern and northern cities

The chemical composition of rainwater in the southern and northern cities of China has changed significantly in recent decades (Figure 2). According to the China Statistical Yearbook (National Bureau of Statistics of the People’s Republic of China, 2018), the cities showed significant SO2 and NOx concentration variations, resulting in discrepancies in the chemical composition of rainwater. Still, we observed a general trend in the chemical composition throughout the decades. Generally, a decline in pH occurred mainly in the late 1990s to mid-2000s, resulting in acid rainwater across China. After that period, a trend of increasing pH ensued, presenting as the gradual alkalization of rainwater. Simultaneously, SO42– concentrations significantly declined, especially in recent years, whereas NO3 levels were somewhat stable or increased slightly. These effects are attributed to the enforcement of some mitigation policies such as the Action Plan for Prevention and Control of Air Pollution in 2013 by the central government (Wang et al., 2018) and other environmental control measures by the local government. The SO42– concentrations of rainwater in the northern cities (e.g., Zhengzhou and Xi’an) were higher than those in southern cities. Such effects could be attributed to the large coal consumption in northern cities, where coal burning is their primary energy source (Shen et al., 2009; Zhang et al., 2015). A previous study reported that coal consumption in Qingdao city, as a primary energy source, reached 11.16 million tons in 2006, of which industrial coal burning accounted for 89% (Wei, 2008). Such dependence on coal energy likely contributed to the increase in SO42– levels in rainwater (Figure 2d).

Figure 2.

Volume-weighted mean concentration of acid anions and pH value in several northern and southern cities in China. Data from Zhengzhou city (Sun, 1998; Guo et al., 2008); Anyang city (Zhao et al., 2017); Xi’an city (Song et al., 2013; Wang et al., 2018); Dalian city (Lu et al., 1987; Xie et al., 1998; Liu and Wang, 2011; Ji, 2012; Chen, 2013); Anshan city (Zhao, 2015); Qingdao city (Wei, 2008); Chongqing city (Zhao et al., 1988; Wei et al., 2005; Zhao et al., 2013; Song et al., 2017); Chengdu city (Lei et al., 1997; Mei et al., 2005; Wang and Han, 2011); Leshan city (Zheng, 2012; Li, 2015; Zhang, 2017); Nanjing city (Tu, 1999; Zheng et al., 2007); Changzhou city (Yang et al., 2009; Wang et al., 2014a); Taizhou city (Xu, 2017); Changsha city (Jiang et al., 2003; Liu and Chang, 2009; Yi et al., 2014). DOI: https://doi.org/10.1525/elementa.2021.00142.f2

Figure 2.

Volume-weighted mean concentration of acid anions and pH value in several northern and southern cities in China. Data from Zhengzhou city (Sun, 1998; Guo et al., 2008); Anyang city (Zhao et al., 2017); Xi’an city (Song et al., 2013; Wang et al., 2018); Dalian city (Lu et al., 1987; Xie et al., 1998; Liu and Wang, 2011; Ji, 2012; Chen, 2013); Anshan city (Zhao, 2015); Qingdao city (Wei, 2008); Chongqing city (Zhao et al., 1988; Wei et al., 2005; Zhao et al., 2013; Song et al., 2017); Chengdu city (Lei et al., 1997; Mei et al., 2005; Wang and Han, 2011); Leshan city (Zheng, 2012; Li, 2015; Zhang, 2017); Nanjing city (Tu, 1999; Zheng et al., 2007); Changzhou city (Yang et al., 2009; Wang et al., 2014a); Taizhou city (Xu, 2017); Changsha city (Jiang et al., 2003; Liu and Chang, 2009; Yi et al., 2014). DOI: https://doi.org/10.1525/elementa.2021.00142.f2

Close modal

The wide application of FGD and denitration in Anyang cities achieved approximately 80% efficiency in eliminating acid rain from 2006 to 2016 (Zhao et al., 2017). As a result of coal-burning control in Xi’an city, SO2 emissions decreased from 48 to 24 µg m–3, leading to respective reductions in SO4 and NO3 by 56% and 38% from 2009 to 2015 (Wang et al., 2018). As for southern Chinese cities, acid rain has been severer than that in northern cities, although the pH has been increasing gradually (Figure 2). For instance, the pH increased from 4.4 to 5.1 between 2006 and 2008 in Chengdu city (Figure 2f), as the SO4 concentration decreased onefold, while NO3 increased fivefold (Lei et al., 1997; Wang and Han, 2011). During 2009–2013, the pH range was 5.6–7.0, indicating that acid rain was not an issue in Meishan city (Li, 2015). Elsewhere, Changsha city has often experienced severe acid rain (Figure 2f) at a frequency of >90% (Jiang et al., 2003; Liu and Chang, 2009). However, the phenomenon has improved in recent years. Furthermore, SO4 levels have significantly declined compared to NO3.

3.1.2. pH and acidic ions of rainwater in metropolises

Figure 3 shows an increasing pH trend and decreasing SO42– and NO3 trends in Chinese metropolises in recent years. The pH values in all the municipalities have increased since 2005. Because Beijing is located in northern China, while Guangzhou and Shanghai are southern coastal cities, the pH of rainwater in Beijing is higher than that of the other two metropolises. The rainwater pH and chemistry in Beijing changed significantly around 2000 (Tang et al., 2005; Xu and Han, 2009). Even though the pH decreased during 1980–2000, and the significant acid rain occurred after 2000, rain alkalinization has occurred in recent years.

The acid rain frequency during 2000–2005 was 16% (Yang et al., 2012), which increased to 27% during 2010–2013 (Zhu et al., 2016). The pH of 97% of the rainwater samples during 2017–2018 ranged from 6.3 to 7.5 in Beijing’s rural area (Xu et al., 2020). The government has carried out a series of air pollution control measures since 1998 (Yang et al., 2012). However, the VWM SO42– concentration decreased by 13% during 1998–2005, much less compared to the 58% annual reduction in SO2. In the same period, the NO3 concentration doubled, whereas NO2 saw a 5% reduction (Yang et al., 2012). Nevertheless, after implementing the 13th Five Year Plan (2016–2020), with a 15% decrease in SO2 emissions in 2020 compared to 2015, the rainwater pH in China increased. Pu et al. (2017) also reported that the rainwater pH increased significantly during 2008–2014 in Beijing’s remote area.

Elsewhere, Zhu et al. (2016) reported that the anthropogenic source of SO42– and NO3 in rainwater accounted for 97% and 99%, respectively. The acid ion concentrations in the northern cities, including Beijing, are generally higher than that in southern cities. Similarly, the rainwater pH is also higher in the northern cities due to Ca2+ and NH4+ (Section 3.2).

Shanghai’s rainwater has been acidic for three decades (Figure 3c). From 1986 to 2016, three pH variation trends have been evident. From 1992 to 1997, the pH increased from 4.82 to 5.72, reducing acid rain frequency from 28% to 11%. However, the pH decreased from 5.72 to 4.92, with acid rain frequency increasing to 32% during 1997–2004 (Sha et al., 2007). Wang et al. (2016) reported an apparent decline in SO42– and NO3 concentrations in Shanghai, consistent with Figure 3c. Such an achievement is attributed to the Shanghai Government’s control policies during the 12th Five-Year Plan period, that is, 2011–2015 (Lin et al., 2013; Li et al., 2017b). In 2005, the SO42– concentration decreased by >60% in Shanghai, while the NO3 only decreased by 20% during 2011–2016 (Meng et al., 2019). The reductions were ascribed to approximately 30% of the power plant equipped with SCR for NOx control and 80% with FGD for SO2 control in 2011 (Fu et al., 2013). Nevertheless, increasing vehicular transportation has played an essential role in increasing NOx emissions in recent years, increasing the NO3 concentration in rainwater (Liu et al., 2017).

3.1.3. pH and acidic ions of rainwater in southeast and coastal cities

The southeast and coastal areas of China are traditional acid rain areas (Figures 3b and 4). Some areas therein continue to suffer from acid rain despite the recent improvements. The SO42– and NO3 concentration variations were similar to those of other regions in China, that is, control of SO2 and increasing NOx levels in recent years. For example, the vehicular density increased fivefold in Nanning city during 2005–2014 (Guo et al., 2017), while a 87% increase was recorded in Foshan city during 2006–2010 (Yao and Liang, 2012). According to Huang et al. (2009), acid rain frequency showed a strong correlation with the emission of NOx and SO2 in Guangzhou. Although the pH has increased in these areas, the severe acid rain situation has not seen a significant change. Therefore, the southeast coastal cities are the few remaining areas experiencing acid rain nowadays.

Figure 4.

Volume-weighted mean concentration of acid anions and pH value in several southeast and coastal cities in China. Data from Nanping city (Zheng, 2016), Foshan city (Liu and Xia, 2007; Yao and Liang, 2012; Huang and Liang, 2017), Guilin city (Qi and Wang, 1995; Ning and Li, 1997; Shi et al., 2015; Zhong et al., 2018), Nanning city (Qi and Wang, 1995; Fujita et al., 2000; Tu et al., 2005; Guo et al., 2017), Yingtan city (Wu, 2011), Ji’an city (He, 2016), and Nanchang city (Zheng et al., 2020). DOI: https://doi.org/10.1525/elementa.2021.00142.f4

Figure 4.

Volume-weighted mean concentration of acid anions and pH value in several southeast and coastal cities in China. Data from Nanping city (Zheng, 2016), Foshan city (Liu and Xia, 2007; Yao and Liang, 2012; Huang and Liang, 2017), Guilin city (Qi and Wang, 1995; Ning and Li, 1997; Shi et al., 2015; Zhong et al., 2018), Nanning city (Qi and Wang, 1995; Fujita et al., 2000; Tu et al., 2005; Guo et al., 2017), Yingtan city (Wu, 2011), Ji’an city (He, 2016), and Nanchang city (Zheng et al., 2020). DOI: https://doi.org/10.1525/elementa.2021.00142.f4

Close modal

3.1.4. Overview of pH and acidic ions trends in cities of China

Figure 5 presents the change in the concentration ratio of SO42– to NO3 in rainwater, which affects the acid rain type, for more than three decades in China. In the early stages, there was a decline in the [SO42–]/[NO3] ratio in northern and southern China, indicating the rainwater was predominantly polluted with sulfuric acid. Gradually, a mixture of sulfuric acid and nitric acid became the main pollutants. The decrease in [SO42–] and slight increase in [NO3] resulted in a decline in the [SO42–]/[NO3] ratio, ascribed to the effective environmental management of SO2 emissions and the rise in vehicular transportation. For example, according to the Shanghai Statistical Annual Report, the number of vehicles increased by 43% from 2011 to 2016. SO2 emissions originate primarily from coal combustion, while NOx emissions are from oil fuel combustion (Larssen et al., 2011; Zhang et al., 2017b). Such observations are consistent with the high SO42–/NO3 ratio in Shanghai compared to other areas (Figure 5), due to the concentrated coal resources in northern China.

Figure 5.

The ratio of SO42– and NO3 concentration in rainwater around China during 1990–2016. DOI: https://doi.org/10.1525/elementa.2021.00142.f5

Figure 5.

The ratio of SO42– and NO3 concentration in rainwater around China during 1990–2016. DOI: https://doi.org/10.1525/elementa.2021.00142.f5

Close modal

To evaluate the degree of acid neutralization, ΔpH is defined as Equation 1:

1

where pAi is the estimated pH without neutralization (Hara et al., 1995). The pAi is computed using Equation 2:

2

where nss-SO42– is referred to as the non-sea salt (nss) values of the SO42– concentration.

Using Na+ as the reference cation and assuming that all the Na+ came from marine sources (Keene et al., 1986), the nss was calculated using Equation 3:

3

where X denotes the estimated ion.

Therefore, differences in ΔpH among the Chinese cities can indicate the acid neutralization capacity. As shown in Figure 6a, the rainwater pH in southeast and coastal cities was generally lower than in other cities. Similarly, the ΔpH was also lower in southeast and coastal cities (Figure 6b), reflecting that the neutralization capacity of the alkaline cations in rainwater is very weak, decreasing from inland areas to coastal areas in China, where acid rain is severe nowadays.

Figure 6.

The pH value and ΔpH value after 2006 in several cities from China. Data from Nanping city (Zheng, 2016), Foshan city (Liu and Xia, 2007; Yao and Liang, 2012; Huang and Liang, 2017), Guilin city (Qi and Wang, 1995; Ning and Li, 1997; Shi et al., 2015; Zhong et al., 2018), Nanning city (Qi and Wang, 1995; Fujita et al., 2000; Tu et al., 2005; Guo et al., 2017), Yingtan city (Wu, 2011), Ji’an city (He, 2016), and Nanchang city (Zheng et al., 2020). ΔpH = pH − pAi; pAi = −log[nss-SO42− + NO3]. DOI: https://doi.org/10.1525/elementa.2021.00142.f6

Figure 6.

The pH value and ΔpH value after 2006 in several cities from China. Data from Nanping city (Zheng, 2016), Foshan city (Liu and Xia, 2007; Yao and Liang, 2012; Huang and Liang, 2017), Guilin city (Qi and Wang, 1995; Ning and Li, 1997; Shi et al., 2015; Zhong et al., 2018), Nanning city (Qi and Wang, 1995; Fujita et al., 2000; Tu et al., 2005; Guo et al., 2017), Yingtan city (Wu, 2011), Ji’an city (He, 2016), and Nanchang city (Zheng et al., 2020). ΔpH = pH − pAi; pAi = −log[nss-SO42− + NO3]. DOI: https://doi.org/10.1525/elementa.2021.00142.f6

Close modal

3.2. Variation in alkaline abundances and neutralizing capacity

3.2.1. Alkaline constituent variation of rainwater in southern and northern cities

The significant, positive correlation between pH and ΔpH across China (Figure 7) reflects how the neutralizing capacity of the alkaline composition impacts the rainwater pH (Zhou et al., 2019). Previous studies have shown that the alkaline composition of soil dust from desert and semiarid areas was the primary contributor to the Ca2+ in rainwater in northern China (Xu and Han, 2009; Wang et al., 2012; Wu et al., 2013). Nevertheless, it is challenging for the relatively wet surface dust to enter into the southern China air due to the humid climate (Zhou et al., 2019). Therefore, alkaline compositions of soil dust in northern China have a greater impact on neutralization than in southern China (Huang et al., 2009), especially in southeast and coastal areas.

Figure 7.

The correlation between pH value and ΔpH value in China. ΔpH = pH − pAi; pAi = −log[nss-SO42− + NO3]. DOI: https://doi.org/10.1525/elementa.2021.00142.f7

Figure 7.

The correlation between pH value and ΔpH value in China. ΔpH = pH − pAi; pAi = −log[nss-SO42− + NO3]. DOI: https://doi.org/10.1525/elementa.2021.00142.f7

Close modal

Moreover, high NH4+ concentrations in rainwater has been attributed to gaseous ammonia, primarily emitted from agricultural fertilizer (17%), cattle breeding (80%), and industrial processes (Flues et al., 2002). The highest NH3 concentration was observed in South Asia and Northeast China, where heavy fertilizer application is common (Huang et al., 2012). As for the Midwestern United States, the increase in fertilizer usage is approximately 1.3% yr–1, resulting in a significant increase in NH3 levels (Warner et al., 2017). Therefore, the influence of NH3 on rainwater in China may be referential for atmospheric changes in the Pan-Pacific region. Along with Ca2+, NH4+ is a principal alkaline cation that neutralizes rainwater acidity (Larssen et al., 2006; Wang et al., 2012; Wu et al., 2016; Han et al., 2019).

The relationship between acidic and alkaline constituents evaluates the neutralization capacity of the latter. Fujita et al. (2000) proposed that Equation 4 could describe the interrelationship between the neutralizing potential (NP) and acidifying potential (AP):

4

where NP is [nss-Ca2+ + NH4+] and AP is [nss-SO42– + NO3].

The changes in Ca2+, NH4+, pH, and NP/AP over the decades in China are shown in Figure 8. In general, the trends of Ca2+ and NH4+ are significantly different from those of SO42– and NO3, showing a significant decline in recent years due to the control measures implemented (Section 3.1). The NP/AP shows a similar tendency with pH, indicating that the alkaline ions are essential to neutralizing rainwater acidity (Zhou et al., 2019). In Zhengzhou city for instance, Ca2+ and NH4+ decreased by 76% and 55% during 1996–2002, respectively, while SO42– decreased by 73% and NO3 remained relatively stable. Then, during 2002–2005, Ca2+ increased from 315 to 502 µeq/L, and NO3 increased from 43.4 to 86.3 µeq/L, while SO42– and NH4+ remained relatively unchanged. Meanwhile, the pH decreased during 1994–2002 but increased mildly during 2003–2005 with increasing NP/AP. An increase in Ca2+ concentration probably improved the pH in rainwater during 2002–2005 in Zhengzhou city.

Figure 8.

Volume-weighted mean concentration of basic ions, pH value, NP/AP value in several northern and southern cities in China. DOI: https://doi.org/10.1525/elementa.2021.00142.f8

Figure 8.

Volume-weighted mean concentration of basic ions, pH value, NP/AP value in several northern and southern cities in China. DOI: https://doi.org/10.1525/elementa.2021.00142.f8

Close modal

As for Anyang city, the NP/AP showed a significant increasing trend with relatively high Ca2+ concentrations during 2006–2015, confirming that rainwater alkalization increased as the pH increased. Moreover, the NP/AP exhibited a similar trend to pH in Xi’an city, showing that the alkaline ions were predominant in the rainwater despite the decline in cation concentration in recent years. Furthermore, higher levels of NH4+ were observed in the southern cities than in the north (Figure 8), confirming that Ca2+ resources were affected by the northern desert and semiarid areas. Regarding the rainwater in Chengdu city (Mei et al., 2005; Wang and Han, 2011), the main sources of Ca2+ were soil dust and industrial dust, primarily attributed to urban construction. This observation is consistent with other rainwater studies in a southern city (Han et al., 2011).

In another study, Sichuan was reported as an intense agricultural production area, exhibiting a high concentration of NH4+ in rainwater due to the high emission of NH3 in the region (Wang and Han, 2011). As for Meishan city, the frequency of alkaline rain (pH > 7.0) increased from 5% to 44% during 2009–2013, and the correlation between Ca2+ and Mg2+ indicated that the alkaline ions originated from urban construction dust (Li, 2015).

3.2.2. Variation in the alkaline constituents of rainwater in metropolises, southeast, and coastal cities

The NP/AP values in Beijing were generally higher than those in Guangzhou and Shanghai, and correlated more closely with trends in pH, because Beijing is a northern city. The decrease of Ca2+ directly improved air quality, resulting in a significant reduction of sandstorm and dust weather in Beijing, especially since the 2008 Olympic Games (Yang et al., 2011; Xu et al., 2012). However, the proportion of NH4+ increased despite the reduction in NH4+ in the rainwater. In the urban areas of Beijing, the high NH4+ originating primarily from fertilizer contributed 45% of the total NH4+ (Pan et al., 2018). Since 2006, NH4+ has become the dominant cation in rainwater (Figure 9c), accounting for 48% of total cations during 2011–2016 (Meng et al., 2019).

Figure 9.

Volume-weighted mean concentration of basic ions, pH value, neutralizing potential/acidifying potential value in the metropolis in China. DOI: https://doi.org/10.1525/elementa.2021.00142.f9

Figure 9.

Volume-weighted mean concentration of basic ions, pH value, neutralizing potential/acidifying potential value in the metropolis in China. DOI: https://doi.org/10.1525/elementa.2021.00142.f9

Close modal

Because Shanghai is surrounded by developed agricultural provinces (such as Zhejiang and Jiangsu), the city has been affected by prevailing southeastern winds, bearing high NH3 levels from agriculture (Huang et al., 2013; Wang et al., 2015). Furthermore, the increasing industrial and vehicular emissions also contributed majorly to the atmospheric NH3 levels (Liu et al., 2014; Wang et al., 2015).

The levels of Ca2+ and NH4+ in southeast and coastal city rainwaters were relatively lower than those in other Chinese cities (Figure 10). NH4+ was the predominant cation in the rainwaters of southeastern and coastal cities (such as Nanping and Yingtan city). Although Ca2+ originated mainly from local sources (Huang et al., 2009), the rare desert dust in southeast coastal cities resulted in a lower Ca2+ in their rainwaters.

Figure 10.

Volume-weighted mean concentration of basic ions, pH value, neutralizing potential/acidifying potentialvalue in several southeast and coastal cities in China. DOI: https://doi.org/10.1525/elementa.2021.00142.f10

Figure 10.

Volume-weighted mean concentration of basic ions, pH value, neutralizing potential/acidifying potentialvalue in several southeast and coastal cities in China. DOI: https://doi.org/10.1525/elementa.2021.00142.f10

Close modal

To assess the neutralization ability of basic cations in rainwater, the neutralization factor (NF) was calculated as follows (Possanzini et al., 1988):

5

where X represents the [Ca2+] and [NH4+] in μeq/L.

The NF of Ca2+ and NH4+ in different cities of China over the study period is shown in Figure 11. In general, the neutralization capacity of alkaline cations showed a north–south decreasing trend in China. The NF values in southeast and coastal cities were significantly lower than those in China’s other two regions. This observation implies that the weak neutralization in rainwater was due to inadequate alkaline constituents (Huang et al., 2009; Zhou et al., 2019). We attributed the higher NF value to stricter emission controls and faster urban construction in southeast and coastal cities (especially Guangzhou and Shanghai).

Figure 11.

The neutralization factor around China over the decades. DOI: https://doi.org/10.1525/elementa.2021.00142.f11

Figure 11.

The neutralization factor around China over the decades. DOI: https://doi.org/10.1525/elementa.2021.00142.f11

Close modal

Finally, Ca2+ was the dominant neutralization cation in most cities, especially in the past few decades. However, with the rapid increase in vehicular use, the influence of NH4+ in the neutralization reaction has increased gradually, especially in the metropolises. The neutralization capacity of Ca2+ and NH4+ variation in China indicates that economic development has caused a change in the alkaline constituents over the years. Thus, this inference strengthens our understanding of acid rain pollution control.

The acidity and chemical constituents of rainwater in China have undergone significant changes since the 1970s. However, rapid economic development and environmental policies have significantly impacted acid rain episodes in China over the decades. From these changes, we conclude as follows:

  1. SO42 and NO3, as the dominant precursors for acid rain, have significantly decreased in concentration due to mitigation measures. Since these measures have reduced SO42– considerably, the type of acid rain in China has changed from sulfuric acid to a mixture of nitric acid and sulfuric acid.

  2. The Ca2+ in rainwater has decreased in recent years, although not as much as acidic ions. Simultaneously, the NH4+ remained relatively stable, with a mild increase observed due to the increasing number of vehicles in China.

  3. Ca2+ was the primary neutralizing cation in rainwater, and the neutralization capacity of NH4+ in China has gradually increased in recent years. The neutralization capacity of alkaline cations has decreased from north to south, with the lowest in the southeast and coastal cities, excluding metropolises (due to rapid urbanization).

The review of 3.5 decades of the precipitation pH data from urban regions in China shows an overall trend toward reduced acidity. The further elucidation of these trends is hampered by a relative scarcity of rainwater alkalinity data. Such records are particularly required to evaluate the effects of emission changes from the remarkable growth of industrialization and the number of vehicles in China on the rainwater acidity and ion chemistry.

Data summarized in this review are available online as supporting information.

The supplemental file for this article can be found as follows:

Table S1. Rainwater data of different cities in China (pH in unit and volume-weighted mean concentration of ion in µeq/L).

The authors appreciate our colleagues, Jie Zeng and Kunhua Yang, for providing help with the stimulating discussions.

This work was supported by the National Natural Science Foundation of China (41661144029; 41325010).

The authors declared no competing interests.

Contributed to conception and design: RQ, GH.

Contributed to the acquisition of data: RQ, GH.

Contributed to analysis and interpretation of data: RQ, GH.

Drafted and/or revised the article: RQ, GH.

Approved the submitted version for publication: RQ, GH.

Aas
,
W
,
Shao
,
M
,
Jin
,
L
,
Larssen
,
T
,
Zhao
,
D
,
Xiang
,
R
,
Zhang
,
J
,
Xiao
,
J
,
Duan
,
L
.
2007
.
Air concentrations and wet deposition of major inorganic ions at five non-urban sites in China, 2001–2003
.
Atmospheric Environment
41
(
8
):
1706
1716
. DOI: https://doi.org/10.1016/j.atmosenv.2006.10.030.
Akpo
,
AB
,
Galy-Lacaux
,
C
,
Laouali
,
D
,
Delon
,
C
,
Liousse
,
C
,
Adon
,
M
,
Gardrat
,
E
,
Mariscal
,
A
,
Darakpa
,
C
.
2015
.
Precipitation chemistry and wet deposition in a remote wet savanna site in West Africa: Djougou (Benin)
.
Atmospheric Environment
115
:
110
123
. DOI: https://doi.org/10.1016/j.atmosenv.2015.04.064.
Bai
,
L
,
Wang
,
ZL
.
2014
.
Anthropogenic influence on rainwater in the Xi’an City, Northwest China: Constraints from sulfur isotope and trace elements analyses
.
Journal of Geochemical Exploration
137
:
65
72
. DOI: https://doi.org/10.1016/j.gexplo.2013.11.011.
Bian
,
Y
,
Yu
,
S
.
1992
.
Forest decline in Nanshan, China
.
Forest Ecology & Management
51
(
1–3
):
53
59
. DOI: https://doi.org/10.1016/0378-1127(92)90471-K.
Cao
,
Y
,
Wang
,
S
,
Zhang
,
G
,
Luo
,
J
,
Lu
,
S
.
2009
.
Chemical characteristics of wet precipitation at an urban site of Guangzhou, South China
.
Atmospheric Research
94
(
3
):
462
469
. DOI: https://doi.org/10.1016/j.atmosres.2009.07.004.
Chen
,
D
,
Zhang
,
Y
,
Yao
,
Y
,
Hong
,
Y
,
Guan
,
Q
,
Tu
,
W
.
2019
.
Exploring the spatial differentiation of urbanization on two sides of the Hu Huanyong Line—Based on nighttime light data and cellular automata
.
Applied Geography
112
:
15
. DOI: https://doi.org/10.1016/j.apgeog.2019.102081.
Chen
,
M
,
Gong
,
Y
,
Li
,
Y
,
Lu
,
D
,
Zhang
,
H
.
2016
.
Population distribution and urbanization on both sides of the Hu Huanyong Line: Answering the premier’s question
.
Journal of Geographical Sciences
26
(
11
):
1593
1610
. DOI: https://doi.org/10.1007/s11442-016-1346-4.
Chen
,
Z
.
2013
.
The analysis on the reasons of the differences of the rain by step by step sampling between Dalian and Fushun in Liaoning Province
.
Environmental Science & Technology
36
(
12
):
270
274
(in Chinese)
. DOI: https://doi.org/10.3969/j.issn.1003-6504.2013.12M.055.
Cheng
,
Y
,
Liu
,
Y
,
Huo
,
M
,
Sun
,
Q
,
Wang
,
H
,
Bai
,
Y
.
2011
.
Chemical characteristics of precipitation at Nanping Mangdang Mountain in eastern China during spring
.
Journal of Environmental Sciences (China)
23
(
8
):
1350
1358
. DOI: https://doi.org/10.1016/S1001-0742(10)60560-8.
Ciezka
,
M
,
Modelska
,
M
,
Gorka
,
M
,
Trojanowska-Olichwer
,
A
,
Widory
,
D
.
2016
.
Chemical and isotopic interpretation of major ion compositions from precipitation: A one-year temporal monitoring study in Wroclaw, SW Poland
.
Journal of Atmospheric Chemistry
73
(
1
):
61
80
. DOI: https://doi.org/10.1007/s10874-015-9316-2.
Dordevic
,
D
,
Mihajlidi-Zelic
,
A
,
Relic
,
D
.
2005
.
Differentiation of the contribution of local resuspension from that of regional and remote sources on trace elements content in the atmospheric aerosol in the Mediterranean area
.
Atmospheric Environment
39
(
34
):
6271
6281
. DOI: https://doi.org/10.1016/j.atmosenv.2005.07.006.
Duan
,
L
,
Yu
,
Q
,
Zhang
,
Q
,
Wang
,
Z
,
Pan
,
Y
,
Larssen
,
T
,
Tang
,
J
,
Mulder
,
J
.
2016
.
Acid deposition in Asia: Emissions, deposition, and ecosystem effects
.
Atmospheric Environment
146
:
55
69
. DOI: https://doi.org/10.1016/j.atmosenv.2016.07.018.
Environmental Protection Agency
.
2006
. Data quality assessment: Statistical methods for practitioners EPA QA/G-9S.
Washington, DC
:
Environmental Protection Agency
.
Available at
https://www.epa.gov/sites/production/files/2015-08/documents/g9s-final.pdf.
Accessed 23 November 2020
.
Feng
,
Z
,
Huang
,
Y
,
Feng
,
Y
,
Ogura
,
N
,
Zhang
,
F
.
2001
.
Chemical composition of precipitation in Beijing Area, Northern China
.
Water, Air, & Soil Pollution
125
(
1
):
345
356
. DOI: https://doi.org/10.1023/A:1005287102786.
Flues
,
M
,
Hama
,
P
,
Lemes
,
M
JL.
2002
.
Evaluation of the rainwater acidity of a rural region due to a coal-fired power plant in Brazil
.
Atmospheric Environment
36
(
14
):
2397
2404
. DOI: https://doi.org/10.1016/S1352-2310(01)00563-5.
Fu
,
X
,
Wang
,
S
,
Xing
,
J
,
Zhang
,
X
,
Tao
,
W
,
Hao
,
J
.
2017
.
Increasing ammonia concentrations reduce the effectiveness of particle pollution control achieved via SO2 and NOX emissions reduction in East China
.
Environmental Science & Technology Letters
4
(
6
):
221
227
. DOI: https://doi.org/10.1021/acs.estlett.7b00143.
Fu
,
X
,
Wang
,
S
,
Zhao
,
B
,
Xing
,
J
,
Cheng
,
Z
,
Liu
,
H
,
Hao
,
J
.
2013
.
Emission inventory of primary pollutants and chemical speciation in 2010 for the Yangtze River Delta region, China
.
Atmospheric Environment
70
:
39
50
. DOI: https://doi.org/10.1016/j.atmosenv.2012.12.034.
Fujita
,
S-i
,
Takahashi
,
A
,
Weng
,
J
,
Huang
,
L
,
Kim
,
H
,
Li
,
C
,
Huang
,
FTC
,
Jeng
,
F
.
2000
.
Precipitation chemistry in East Asia
.
Atmospheric Environment
34
(
4
):
525
537
. DOI: https://doi.org/10.1016/S1352-2310(99)00261-7.
Gioda
,
A
,
Mayol-Bracero
,
OL
,
Scatena
,
FN
,
Weathers
,
KC
,
Mateus
,
VL
,
Mcdowell
,
WH
.
2013
.
Chemical constituents in clouds and rainwater in the Puerto Rican rainforest: Potential sources and seasonal drivers
.
Atmospheric Environment
68
:
208
220
. DOI: https://doi.org/10.1016/j.atmosenv.2012.11.017.
Guo
,
K
,
Wei
,
C
,
Liang
,
Z
.
2017
.
Characteristics of chemical composition of atmospheric precipitation in Nanning
.
Guangdong Chemical Industry
44
(
3
):
52
53
(in Chinese). Available at
https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFDLAST2017&filename=GDHG201703023&v=2FIFblXONBSZvShpR%25mmd2BVz9Pa7PEAmZ131MUO%25mmd2BrD5PhK5Y%25mmd2FT%25mmd2BG2m5dYhDHCTQxsUiQ.
Accessed 23 November 2020
.
Guo
,
L
,
Qi
,
Y
,
Zhao
,
Y
,
Sun
,
Z
,
Yang
,
L
.
2008
.
Analysis on the change of chemical composition of acid rain in Zhengzhou
.
Journal of Henan Agricultural University
42
(
4
):
450
453
(in Chinese)
. DOI: https://doi.org/10.16445/j.cnki.1000-2340.2008.04.005.
Han
,
G
,
Liu
,
C
.
2006
.
Strontium isotope and major ion chemistry of the rainwaters from Guiyang, Guizhou Province, China
.
Science of Total Environment
364
(
1–3
):
165
174
. DOI: https://doi.org/10.1016/j.scitotenv.2005.06.025.
Han
,
G
,
Tang
,
Y
,
Xu
,
Z
.
2010
a.
Fluvial geochemistry of rivers draining karst terrain in Southwest China
.
Journal of Asian Earth Sciences
38
(
1–2
):
65
75
. DOI: https://doi.org/10.1016/j.jseaes.2009.12.016.
Han
,
G
,
Wu
,
Q
,
Tang
,
Y
.
2011
.
Acid rain and alkalization in southwestern China: Chemical and strontium isotope evidence in rainwater from Guiyang
.
Journal of Atmospheric Chemistry
68
(
2
):
139
155
. DOI: https://doi.org/10.1007/s10874-012-9213-x.
Han
,
G
,
Yang
,
T
,
Wu
,
Q
,
Qiu
,
T
.
2010
b.
Chemical and strontium isotope characterization of rainwater in karst virgin forest, Southwest China
.
Atmospheric Environment
44
(
2
):
174
181
. DOI: https://doi.org/10.1016/j.atmosenv.2009.10.019.
Han
,
G
,
Yang
,
T
,
Wu
,
Q
,
Wang
,
Z
.
2019
.
Ca and Sr isotope compositions of rainwater from Guiyang city, Southwest China: Implication for the sources of atmospheric aerosols and their seasonal variations
.
214
:
116854
. DOI: https://doi.org/10.1016/j.atmosenv.2019.116854.
Hara
,
H
,
Kitamura
,
M
,
Mori
,
A
,
Noguchi
,
I
,
Ohizumi
,
T
,
Seto
,
S
,
Takeuchi
,
T
,
Deguchi
,
T
.
1995
.
Precipitation chemistry in Japan 1989–1993
.
Water Air & Soil Pollution
85
(
4
):
2307
2312
. DOI: https://doi.org/10.1007/BF01186178.
He
,
H
.
2016
.
Investigation and cause analysis of formation of acid rain in the atmosphere of Ji’an City
.
Biological Chemical Engineering
2
(
6
):
8
14
(in Chinese). Available at
https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFDLAST2017&filename=SWHG201606003&v=7fIaFjRUtsRMGtZrIGBKovjq2%25mmd2Fx3mpDTezxFSYV3h19MaQqoLzqYVPnsi4dYute%25mmd2B.
Accessed 23 November 2020
.
Huang
,
D
,
Xu
,
YG
,
Peng
,
P
,
Zhang
,
H
,
Lan
,
J
.
2009
.
Chemical composition and seasonal variation of acid deposition in Guangzhou, South China: Comparison with precipitation in other major Chinese cities
.
Environmental Pollution
157
(
1
):
35
41
. DOI: https://doi.org/10.1016/j.envpol.2008.08.001.
Huang
,
K
,
Zhuang
,
G
,
Lin
,
YF
,
Wang
,
Q
,
Fu
,
J
,
Fu
,
Q
Y,
Liu
,
TN
,
Deng
,
C
.
2013
.
How to improve the air quality over mega-cities in China: Pollution characterization and source analysis in Shanghai before, during, and after the 2010 World Expo
.
Atmospheric Chemistry & Physics Discussions
13
:
3379
3418
. DOI: https://doi.org/10.5194/acpd-13-3379-2013.
Huang
,
K
,
Zhuang
,
G
,
Xu
,
C
,
Wang
,
Y
,
Tang
,
A
.
2008
.
The chemistry of the severe acidic precipitation in Shanghai, China
.
Atmospheric Research
89
(
1–2
):
149
160
. DOI: https://doi.org/10.1016/j.atmosres.2008.01.006.
Huang
,
S
,
Liang
,
Y
.
2017
.
Components and acid factors analysis of atmospheric precipitation in Nanhai District of Foshan City
.
Journal of Environmental Engineering Technology
7
(
5
):
552
557
(in Chinese). Available at
https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFDLAST2017&filename=HKWZ201705004&v=oFiguNKT8a4ZgTvKq2evZzwc5jS4wE2mVV1pSwW%25mmd2Fmwm19BOC1IXR8ZjnAeaurLNN.
Accessed 23 November 2020
.
Huang
,
X
,
Song
,
Y
,
Li
,
M
,
Li
,
J
,
Huo
,
Q
,
Cai
,
X
,
Zhu
,
T
,
Hu
,
M
,
Zhang
,
H
.
2012
.
A high-resolution ammonia emission inventory in China
.
Global Biogeochemical Cycles
26
:
1030
. DOI: https://doi.org/10.1029/2011GB004161.
Ito
,
M
,
Mitchell
,
MJ
,
Driscoll
,
CT
.
2002
.
Spatial patterns of precipitation quantity and chemistry and air temperature in the Adirondack region of New York
.
Atmospheric Environment
36
(
6
):
1051
1062
. DOI: https://doi.org/10.1016/S1352-2310(01)00484-8.
Jiang
,
Y
,
Zeng
,
G
,
Zhang
,
G
,
Liu
,
H
.
2003
.
Atmospheric acid deposition chemistry and the variational characteristics in Changsha City
.
Urban Environment &Urban Ecology
16
:
23
25
(in Chinese). Available at
https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFD2003&filename=CHCS2003S1009&v=75hFjJj%25mmd2B6agWN9OxtIJBkKVvgzhEI4zyqjVnLrqfWCT%25mmd2BW6V1%25mmd2Fnt5%25mmd2BXdc2MByJKlO.
Accessed 23 November 2020
.
Ji
,
D
.
2012
.
Analysis on formation causes of acid rain in Dalian
.
Dalian University of Technology
(
in Chinese
).
Available at
https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CMFD&dbname=CMFD201402&filename=1013200485.nh&v=JhhkiuGg6DGijqy%25mmd2BjNrUPuKn65eYtM3ksYw%25mmd2FV68pjNkkFgRcz76em9568IXLwpdK.
Accessed 23 November 2020
.
Kang
,
Y
,
Liu
,
M
,
Song
,
Y
,
Huang
,
X
,
Yao
,
H
,
Cai
,
X
,
Zhang
,
H
,
Kang
,
L
,
Liu
,
X
,
Yan
,
X
,
He
,
H
,
Zhang
,
Q
,
Shao
,
M
,
Zhu
,
T
.
2016
.
High-resolution ammonia emissions inventories in China from 1980 to 2012
.
Atmospheric Chemistry and Physics
16
:
2043
2058
. DOI: https://doi.org/10.5194/acp-16-2043-2016.
Keene
,
WC
,
Pszenny
,
AAP
,
Galloway
,
JN
,
Hawley
,
ME
.
1986
.
Sea-salt corrections and interpretation of constituent ratios in marine precipitation
.
Journal of Geophysical Research Atmospheres
91
(
D6
):
6647
6658
. DOI: https://doi.org/10.1029/JD091iD06p06647.
Kurokawa
,
J
,
Ohara
,
T
,
Morikawa
,
T
,
Hanayama
,
S
,
Janssens-Maenhout
,
G
,
Fukui
,
T
,
Kawashima
,
K
,
Akimoto
,
H
.
2013
.
Emissions of air pollutants and greenhouse gases over Asian regions during 2000–2008: Regional Emission inventory in ASia (REAS) version 2
.
Atmospheric Chemistry and Physics
13
(
21
). DOI: https://doi.org/10.5194/acp-13-11019-2013.
Larssen
,
T
,
Duan
,
L
,
Mulder
,
J
.
2011
.
Deposition and leaching of sulfur, nitrogen and calcium in four forested catchments in China: Implications for acidification
.
Environmental Science & Technology
45
. DOI: https://doi.org/10.1021/es103426p.
Larssen
,
T
,
Lydersen
,
E
,
Tang
,
D
,
He
,
Y
,
Gao
,
J
,
Liu
,
H
,
Duan
,
L
,
Seip
,
HM
,
Vogt
,
RD
,
Mulder
,
J
.
2006
.
Acid rain in China
.
Environmental Science & Technology
40
(
2
):
418
425
. DOI: https://doi.org/10.1021/es0626133.
Lei
,
H
,
Tanner
,
PA
,
Huang
,
M
,
Shen
,
Z
,
Wu
,
Y
.
1997
.
The acidification process under the cloud in southwest China: Observation results and simulation
.
Atmospheric Environment
31
(
6
):
851
861
. DOI: https://doi.org/10.1016/S1352-2310(96)00247-6.
Li
,
M
,
Liu
,
H
,
Geng
,
G
,
Hong
,
C
,
Liu
,
F
,
Song
,
Y
,
Tong
,
D
,
Zheng
,
B
,
Cui
,
H
,
Man
,
H
,
Zhang
,
Q
,
He
,
K
.
2017
a.
Anthropogenic emission inventories in China: A review
.
National Science Review
4
(
6
):
834
866
. DOI: https://doi.org/10.1093/nsr/nwx150.
Li
,
R
,
Cui
,
L
,
Li
,
J
,
Zhao
,
A
,
Fu
,
H
,
Wu
,
Y
,
Zhang
,
L
,
Kong
,
L
,
Chen
,
J
.
2017
b.
Spatial and temporal variation of particulate matter and gaseous pollutants in China during 2014-2016
.
Atmospheric Environment
161
:
235
246
. DOI: https://doi.org/10.1016/j.atmosenv.2017.05.008.
Li
,
X
.
2015
.
Source apportionment of precipitation pollution in the main urban area of Meishan City from 2009 to 2013
.
Sichuan Environment
34
(
6
):
102
111
(
in Chinese
). DOI: https://doi.org/10.19329/j.cnki.1673-2928.2017.04.014.
Li
,
Y
,
Zhang
,
M
,
Shu
,
M
,
Ho
,
S
,
Liu
,
Z
,
Wang
,
X
,
Zhao
,
X
.
2016
.
Chemical characteristics of rainwater in Sichuan basin, a case study of Ya’an
.
Environmental Science and Pollution Research
23
:
13088
13099
. DOI: https://doi.org/10.1007/s11356-016-6363-4.
Lin
,
Y
,
Huang
,
K
,
Zhuang
,
G
,
Fu
,
J
S,
Xu
,
C
,
Shen
,
J
,
Chen
,
S
.
2013
.
Air quality over the Yangtze River Delta during the 2010 Shanghai Expo
.
Aerosol and Air Quality Research
13
(
6
):
1655
1666
. DOI: https://doi.org/10.4209/aaqr.2012.11.0312.
Liu
,
B
,
Kang
,
S
,
Sun
,
J
,
Zhang
,
Y
,
Xu
,
R
,
Wang
,
Y
,
Liu
,
Y
,
Cong
,
Z
.
2013
.
Wet precipitation chemistry at a high-altitude site (3,326 m a.s.l.) in the southeastern Tibetan Plateau
.
Environmental Science & Pollution Research
20
(
7
):
5013
. DOI: https://doi.org/10.1007/s11356-012-1379-x.
Liu
,
D
,
Xia
,
H
.
2007
.
Chemical characteristics of precipitation in Foshan: Comparing with Guangzhou
71
74
(in Chinese)
. DOI: https://doi.org/10.3969/j.issn.1003-6504.2007.z1.028.
Liu
,
H
,
Wang
,
K
.
2011
.
Ion composition in precipitation and its correlation with gaseous pollutants in representative rural area in Liaoning province
.
Journal of Meteorology and Environment
27
(
2
):
62
68
(in Chinese). Available at
https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFD2011&filename=LNQX201102011&v=mFWrIhajF1x8yVwbUoboxM3xbNnEdRN8NIlSxcHLPXdSRH0xvLy2QiJMk24gDxXG.
Accessed 23 November 2020
.
Liu
,
L
,
Chang
,
Y
.
2009
.
The analysis of acid rain’s present situation and component in Changsha city
.
Technological Development of Enterprise
28
(in Chinese). Available at
https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFD2009&filename=QYJK200909056&v=imfsRo%25mmd2FJV5DjWsbrjY7eplyAck58xQqBURi7tfm1bGBBlBxqZODxYKT10s0OslVe.
Accessed 23 November 2020
.
Liu
,
L
,
Zhang
,
X
,
Xu
,
W
,
Liu
,
X
,
Li
,
Y
,
Lu
,
X
,
Zhang
,
Y
,
Zhang
,
W
.
2017
.
Temporal characteristics of atmospheric ammonia and nitrogen dioxide over China based on emission data, satellite observations and atmospheric transport modeling since 1980
.
Atmospheric Chemistry and Physics
17
(
15
):
9365
9378
. DOI: https://doi.org/10.5194/acp-17-9365-2017.
Liu
,
T
,
Wang
,
X
,
Wang
,
B
,
Ding
,
X
,
Wei
,
D
,
,
S
,
Zhang
,
Y
.
2014
.
Emission factor of ammonia (NH3) from on-road vehicles in China: Tunnel tests in urban Guangzhou
.
Environmental Research Letters
9
:
064027
. DOI: https://doi.org/10.1088/1748-9326/9/6/064027.
Lu
,
X
,
Li
,
L
,
Li
,
N
,
Yang
,
G
,
Luo
,
D
,
Chen
,
J
.
2011
.
Chemical characteristics of spring rainwater of Xi’an city, NW China
.
Atmospheric Environment
45
(
28
):
5058
5063
. DOI: https://doi.org/10.1016/j.atmosenv.2011.06.026.
Lu
,
Y
,
Du
,
W
,
Huang
,
C
,
Wu
,
G
.
1987
.
A preliminary study on precipitation acidity in Dalian city
.
Environmental Chemistry
6
(
3
):
79
81
(in Chinese). Available at
https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFD8589&filename=HJHX198703013&v=J833Z7nln0xWr%25mmd2B4W09FdYcKYK57rO6dPlvreWjc6WSVFA9MW3%25mmd2F6WpiuTSyNTTYCl.
Accessed 23 November 2020
.
Luo
,
X
,
Li
,
J
,
Zhang
,
P
,
Zhu
,
Z
,
Li
,
Y
.
2013
.
Advances in research on the chemical composition of precipitation and its sources in China
.
Earth and Environment
41
(
5
):
566
574
(in Chinese)
. DOI: https://doi.org/10.14050/j.cnki.1672-9250.2013.05.016.
Marion
,
GM
.
1998
.
The geochemistry of natural waters: Surface and groundwater environment, third edition
.
Journal of Environmental Quality
27
(
1
):
245
246
. DOI: https://doi.org/10.2134/jeq1998.00472425002700010037x.
Mei
,
Z
,
Liu
,
Z
,
Liu
,
L
,
Wang
,
B
.
2005
.
Analysis on the variation of acidity and chemical compositions of rainwater in Chengdu Urban Area
.
Sichuan Environment
24
(
3
):
52
55
(in Chinese)
. DOI: https://doi.org/10.14034/j.cnki.schj.2005.03.016.
Meng
,
Y
,
Zhao
,
Y
,
Li
,
R
,
Li
,
J
,
Cui
,
L
,
Kong
,
L
,
Fu
,
H
.
2019
.
Characterization of inorganic ions in rainwater in the megacity of Shanghai: Spatiotemporal variations and source apportionment
.
Atmospheric Research
222
:
12
14
. DOI: https://doi.org/10.1016/j.atmosres.2019.01.023.
Menz
,
FC
,
Seip
,
H M
.
2004
.
Acid rain in Europe and the United States: An update
.
Environmental Science & Policy
7
(
4
):
253
265
. DOI: https://doi.org/10.1016/j.envsci.2004.05.005.
Moreda-Piñeiro
,
J
,
Alonso-Rodríguez
,
E
,
Moscoso-Pérez
,
C
,
Blanco-Heras
,
G
,
Carou
,
I
,
López-Mahía
,
P
,
Muniategui Lorenzo
,
S
,
Prada-Rodríguez
,
D
.
2014
.
Influence of marine, terrestrial and anthropogenic sources on ionic and metallic composition of rainwater at a suburban site (northwest coast of Spain)
.
Atmospheric Environment
88
:
30
38
. DOI: https://doi.org/10.1016/j.atmosenv.2014.01.067.
National Bureau of Statistics of the People’s Republic of China
.
2018
.
China Environment Statistical Yearbook
.
Available at
www.stats.gov.cn/tjsj/ndsj.
Accessed 23 November 2020
.
Niu
,
H
,
He
,
Y
,
Xi
,
X
,
Jie
,
S
,
Du
,
J
,
Tao
,
Z
,
Tao
,
P
,
Xin
,
H
,
Li
,
C
.
2014
.
Chemical composition of rainwater in the Yulong Snow Mountain region, Southwestern China
.
Atmospheric Research
144
:
195
206
. DOI: https://doi.org/10.1016/j.atmosres.2014.03.010.
Ning
G
,
Li
,
Y
.
1997
.
Characteristics of acid precipitation and its prevention and control measures in Guilin
.
Environmental Pollution & Control
5
:
35
37
(in Chinese). Available at
https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFD9697&filename=HJWR199705011&v=lp6vw%25mmd2BLrwPujI1WHiDIAZB5EvBIjF2LNt4dTwnLzw4PcIoG%25mmd2B91WGx4dmg9R26%25mmd2F9F.
Accessed 23 November 2020
.
Pan
,
Y
,
Tian
,
S
,
Liu
,
D
,
Fang
,
Y
,
Zhu
,
X
,
Gao
,
M
,
Gao
,
J
,
Michalski
,
G
,
Wang
,
Y
.
2018
.
Isotopic evidence for enhanced fossil fuel sources of aerosol ammonium in the urban atmosphere
.
Environmental Pollution
238
:
942
947
. DOI: https://doi.org/10.1016/j.envpol.2018.03.038.
Possanzini
,
M
,
Buttini
,
P
,
Palo
,
VD
.
1988
.
Characterization of a rural area in terms of dry and wet deposition
.
Science of the Total Environment
74
:
111
120
. DOI: https://doi.org/10.1016/0048-9697(88)90132-5.
Pu
,
W
,
Quan
,
W
,
Ma
,
Z
,
Shi
,
X
,
Zhao
,
X
,
Zhang
,
L
,
Wang
,
Z
,
Wang
,
W
.
2017
.
Long-term trend of chemical composition of atmospheric precipitation at a regional background station in Northern China
.
Science of the Total Environment
580
:
1340
1350
. DOI: https://doi.org/10.1016/j.scitotenv.2016.12.097.
Qi
,
L
,
Wang
,
W
.
1995
.
Precipitation chemistry and trends of rainwater acidification at the low latitude and subtropics of China
.
Research of Environmental Sciences
8
(
1
):
(in Chinese)
. DOI: https://doi.org/10.13198/j.res.1995.01.12.qilw.003.
Qi
,
W
,
Liu
,
S
,
Zhao
,
M
,
Liu
,
Z
.
2016
.
China’s different spatial patterns of population growth based on the “Hu Line.”
Journal of Geographical Sciences
26
(
11
):
1611
1625
. DOI: https://doi.org/10.1007/s11442-016-1347-3.
Rao
,
PSP
,
Tiwari
,
S
,
Matwale
,
JL
,
Pervez
,
S
,
Tunved
,
P
,
Safai
,
PD
,
Srivastava
,
AK
,
Bisht
,
DS
,
Singh
,
S
,
Hopke
,
PK
.
2016
.
Sources of chemical species in rainwater during monsoon and non-monsoonal periods over two mega cities in India and dominant source region of secondary aerosols
.
Atmospheric Environment
146
:
90
99
. DOI: https://doi.org/10.1016/j.atmosenv.2016.06.069.
Rao
,
W
,
Han
,
G
,
Tan
,
H
,
Jiang
,
S
.
2015
.
Chemical and Sr isotopic compositions of rainwater on the Ordos Desert Plateau, Northwest China
.
Environmental Earth Sciences
74
(
7
):
5759
5771
. DOI: https://doi.org/10.1007/s12665-015-4594-1.
Rice
,
KC
,
Herman
,
JS
.
2012
.
Acidification of earth: An assessment across mechanisms and scales
.
Applied Geochemistry
27
(
1
):
1
14
. DOI: https://doi.org/10.1016/j.apgeochem.2011.09.001.
Roy
,
A
,
Chatterjee
,
A
,
Tiwari
,
S
,
Sarkar
,
C
,
Das
,
SK
,
Ghosh
,
SK
,
Raha
,
S
.
2016
.
Precipitation chemistry over urban, rural and high altitude Himalayan stations in eastern India
.
Atmospheric Research
181
:
44
53
. DOI: https://doi.org/10.1016/j.atmosres.2016.06.005.
Seinfeld
,
JH
.
1998
.
Atmospheric chemistry and physics: From air pollution to climate change
.
Environment: Science and Policy for Sustainable Development,
40
(
7
):
26
. DOI: https://doi.org/10.1080/00139157.1999.10544295.
Sha
,
C
,
He
,
W
,
Tong
,
C
,
Lu
,
J
.
2007
.
Analysis on the variation of acidity and chemical compositions of rainwater in Shanghai
.
Research of Environmental Sciences
20
(
5
):
31
34
(in Chinese)
. DOI: https://doi.org/10.13198/j.res.2007.05.33.shachy.006.
Shen
,
Z
,
Arimoto
,
R
,
Cao
,
J
,
Zhang
,
R
,
Li
,
X
,
Du
,
N
,
Okuda
,
T
,
Nakao
,
S
,
Tanaka
,
S
.
2009
.
Seasonal variations and evidence for the effectiveness of pollution controls on water-soluble inorganic species in total suspended particulates and fine particulate matter from Xi’an, China
.
Journal of the Air & Waste Management Association
58
:
1560
1570
. DOI: https://doi.org/10.3155/1047-3289.58.12.1560.
Shi
,
Y
,
Yiming
,
K
,
Du
,
WY
,
He
,
SY
,
Sun
,
PA
,
Yuan
,
YQ
,
Rui
,
L
,
Li
,
YS
.
2015
.
The hydrochemistry properties of precipitation in karst tourism city (Guilin), Southwest China
.
Environmental Earth Sciences
74
(
2
):
1061
1069
. DOI: https://doi.org/10.1007/s12665-015-4235-8.
Singh
,
S
,
Elumalai
,
SP
,
Pal
,
AK
.
2016
.
Rain pH estimation based on the particulate matter pollutants and wet deposition study
.
Science of the Total Environment
563–564
:
293
301
. DOI: https://doi.org/10.1016/j.scitotenv.2016.04.066.
Song
,
W
,
Li
,
Q
,
Li
,
Y
,
Jing
,
Y
,
Wang
,
W
.
2017
.
Tendency and correlations of chemical composition in precipitation in Qianjiang District
.
Environmental Science & Management
42
(
6
)
(in Chinese). Available at
https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFDLAST2017&filename=BFHJ201706031&v=XLnwDD%25mmd2FlOw%25mmd2FZcZHOx7MMHdYsEYgrrz02RT3gVfJ8vvP%25mmd2BNa25swc6wLKYJ4fVc%25mmd2FDL.
Accessed 23 November 2020
.
Song
,
X
,
Zhu
,
J
,
Wang
,
H
,
Fu
,
G
.
2013
. Analysis of chemical composition characteristics of atmospheric precipitation in Xi’ an, 2013 Annual Conference of Chinese Society of Environmental Sciences; Kunming, Yunnan province, China:
4618
4622
(in Chinese). Available at
http://d.wanfangdata.com.cn/conference/8178648.
Accessed 23 November 2020
.
Sun
,
X
.
1998
.
Study on precipitation acidity and ion composition characteristic
.
Henan Science
1
:
3
5
(in Chinese). Available at
https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFD9899&filename=HNKX801.023&v=SXd2mijrbkRaKgJqoMqvOIqZluP7FbLW9jNi5%25mmd2BY2VqOjlx08IT2Js%25mmd2BHBXfQlsGU9.
Accessed 23 November 2020
.
Tang
,
A
,
Zhuang
,
G
,
Wang
,
Y
,
Yuan
,
H
,
Sun
,
Y
.
2005
.
The chemistry of precipitation and its relation to aerosol in Beijing
.
Atmospheric Environment
39
(
19
):
3397
3406
. DOI: https://doi.org/10.1016/j.atmosenv.2005.02.001.
Tang
,
J
,
Xu
,
X
,
Ba
,
J
,
Wang
,
S
.
2010
.
Trends of the precipitation acidity over China during 1992–2006
.
Chinese Science Bulletin
55
:
1800
1807
. DOI: https://doi.org/10.1007/s11434-009-3618-1.
Tripathee
,
L
,
Guo
,
J
,
Kang
,
S
,
Paudyal
,
R
,
Sharma
,
CM
,
Huang
,
J
,
Chen
,
P
,
Sharma Ghimire
,
P
,
Sigdel
,
M
,
Sillanpää
,
M
.
2020
.
Measurement of mercury, other trace elements and major ions in wet deposition at Jomsom: The semi-arid mountain valley of the Central Himalaya
.
Atmospheric Research
234
:
104691
. DOI: https://doi.org/10.1016/j.atmosres.2019.104691.
Tu
,
J
.
1999
.
Characteristics and trend of chemical composition of precipitation in Nanjing
.
Shanghai Environmental Sciences
451
453
(in Chinese). Available at
https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFD9899&filename=SHHJ199910010&v=4Tw9TC%25mmd2BELU9t%25mmd2Bq2vK5ueiNkYwH9FyTizsuwUtemR46S8V6bGeh%25mmd2FuAulQl1I3zjQQ.
Accessed 23 November 2020
.
Tu
,
J
,
Wang
,
H
,
Zhang
,
Z
,
Jin
,
X
,
Li
,
W
.
2005
.
Trends in chemical composition of precipitation in Nanjing, China, during 1992–2003
.
Atmospheric Research
73
(
3–4
):
283
298
. DOI: https://doi.org/10.1016/j.atmosres.2004.11.002.
Wang
,
H
,
Han
,
G
.
2011
.
Chemical composition of rainwater and anthropogenic influences in Chengdu, Southwest China
.
Atmospheric Research
99
(
2
):
190
196
. DOI: https://doi.org/10.1016/j.atmosres.2010.10.004.
Wang
,
H
,
Qiao
,
L
,
Lou
,
S
,
Zhou
,
M
,
Ding
,
A
,
Huang
,
H
,
Chen
,
J
,
Wang
,
Q
,
Tao
,
S
,
Chen
,
C
,
Li
,
L
,
Huang
,
C
.
2016
.
Chemical composition of PM2.5 and meteorological impact among three years in urban Shanghai, China
.
Journal of Cleaner Production
112
:
1302
1311
. DOI: https://doi.org/10.1016/j.jclepro.2015.04.099.
Wang
,
J
,
Xu
,
M
,
Ye
,
X
,
Liu
,
W
.
2014
a.
Analysis on chemical characteristics of atmospheric precipitation in Cangzhou City
.
Environmental Science and Technology
37
(
4
):
96
102
(in Chinese). Available at
https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFD2014&filename=FJKS201404021&v=x%25mmd2BLi5%25mmd2Ftk7CV8IT3GD2v8ez2OujIeT8N1foffR0QmkNEMmCOn8yWECpRE1fvtLpMs.
Accessed 23 November 2020
.
Wang
,
J
.
2012
.
Chemical characteristics of ions in atmospheric precipitation and their source analysis
.
Environmental Science and Management
37
(
3
):
73
79
. DOI: https://doi.org/10.3969/j.issn.1673-1212.2012.03.018.
Wang
,
L
,
Shen
,
Z
,
Lu
,
D
,
Zhang
,
Q
,
Zhang
,
T
,
Lei
,
Y
,
Xu
,
H
.
2018
.
Water-soluble components in rainwater over Xi’an in northwest China: Source apportionment and pollution controls effectiveness evaluation
.
Atmospheric Pollution Research
10
(
2
):
395
403
. DOI: https://doi.org/10.1016/j.apr.2018.08.011.
Wang
,
S
,
Nan
,
J
,
Shi
,
C
,
Fu
,
Q
,
Gao
,
S
,
Wang
,
D
,
Cui
,
H
,
Alfonso
,
S-L
,
Zhou
,
B
.
2015
.
Atmospheric ammonia and its impacts on regional air quality over the megacity of Shanghai, China
.
Scientific Reports
5
:
15842
. DOI: https://doi.org/10.1038/srep15842.
Wang
,
S
,
Zhao
,
B
,
Cai
,
S
,
Klimont
,
Z
,
Nielsen
,
CP
,
Morikawa
,
T
,
Woo
,
JH
,
Kim
,
Y
,
Fu
,
X
,
Xu
,
J
.
2014
b.
Emission trends and mitigation options for air pollutants in East Asia
.
Atmospheric Chemistry and Physics
14
(
13
):
6571
6603
. DOI: https://doi.org/10.5194/acpd-14-2601-2014.
Wang
,
W
,
Wang
,
T
.
1995
.
On the origin and the trend of acid precipitation in China
.
Water Air & Soil Pollution
85
(
4
):
2295
2300
. DOI: https://doi.org/10.1007/BF01186176.
Wang
,
W
,
Zhang
,
W
.
1997
.
On the precipitation acidity in Beijing
.
Research of Environmental Sciences
10
(
4
):
3
5
(in Chinese)
. DOI: https://doi.org/10.13198/j.res.1997.04.9.wangwx.002.
Wang
,
X
,
Xu
,
K
.
2011
.
Analysis on the space-time distribution characteristics of precipitation pH value in recent 15 years in Taiyuan area
.
Sci-Tech Information Development & Economy
21
(
3
):
173
174
(in Chinese). Available at
https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFD2011&filename=KJQB201103073&v=kyaXAWeVLIP1aJMRn0HGmWcWdT5ysfd2cdX0VyR2jTGFd9kXk18B2D9XwFNrn3IH.
Accessed 23 November 2020
.
Wang
,
Y
,
Yu
,
W
,
Pan
,
Y
,
Wu
,
D
.
2012
.
Acid neutralization of precipitation in Northern China
.
Journal of the Air & Waste Management Association (1995)
62
:
204
211
. DOI: https://doi.org/10.1080/10473289.2011.640761.
Warner
,
J
,
Dickerson
,
R
,
Wei
,
Z
,
Strow
,
L
,
Wang
,
Y
,
Liang
,
Q
.
2017
.
Increased atmospheric ammonia over the world’s major agricultural areas detected from space: Global atmospheric NH3 14 year trends
.
Geophysical Research Letters
44
. DOI: https://doi.org/10.1002/2016GL072305.
Wei
,
H
,
Wang
,
J, L, J
.
2005
.
Analysis on pH and chemical composition of rainfall in Jinyun Mountain, Chongqing, China
.
Journal of Agro-environmental Science
24
(
2
):
344
348
(in Chinese)
. DOI: https://doi.org/10.13718/j.cnki.xsxb.2005.04.031.
Wei
,
J
,
Huang
,
W
,
Li
,
Z
,
Xue
,
W
,
Peng
,
Y
,
Sun
,
L
,
Cribb
,
M
.
2019
.
Estimating 1-km-resolution PM2.5 concentrations across China using the space-time random forest approach
.
Remote Sensing of Environment
231
:
14
. DOI: https://doi.org/10.1016/j.rse.2019.111221.
Wei
,
J
,
Li
,
Z
,
Cribb
,
M
,
Huang
,
W
,
Xue
,
W
,
Sun
,
L
,
Guo
,
J
,
Peng
,
Y
,
Li
,
J
,
Lyapustin
,
A
,
Liu
,
L
,
Wu
,
H
,
Song
,
Y
.
2020
.
Improved 1 km resolution PM2.5 estimates across China using enhanced space-time extremely randomized trees
.
Atmospheric Chemistry and Physics
20
(
6
):
3273
3289
. DOI: https://doi.org/10.5194/acp-20-3273-2020.
Wei
,
J
,
Li
,
Z
,
Lyapustin
,
A
,
Sun
,
L
,
Peng
,
Y
,
Xue
,
W
,
Su
,
T
,
Cribb
,
M
.
2021
a.
Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: Spatiotemporal variations and policy implications
.
Remote Sensing of Environment
252
:
112136
. DOI: https://doi.org/10.1016/j.rse.2020.112136.
Wei
,
J
,
Li
,
Z
,
Xue
,
W
,
Sun
,
L
,
Fan
,
T
,
Liu
,
L
,
Su
,
T
and
Cribb
,
M
.
2021
b.
The ChinaHighPM10 dataset: generation, validation, and spatiotemporal variations from 2015 to 2019 across China
.
Environment International
146
:
106290
. DOI: https://doi.org/10.1016/j.envint.2020.106290
Wei
,
W
.
2008
.
The influencing factors analysis of acid rain and forecast of precipitation acidity in Qingdao
(in Chinese). Available at
https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CMFD&dbname=CMFD2009&filename=2008175182.nh&v=Y%25mmd2FYnWdTksuWcWHsAtY9191S7OcrezzdYJqyqMaZgm6BGGj%25mmd2B%25mmd2Bm07h9aLgXi0o7UjR.
Accessed 23 November 2020
.
Wu
,
D
,
Gan
,
C
,
Chen
,
W
,
You
,
J
.
1994
.
Physical and chemical characteristics of precipitation within the warm sector of a quasi-stationary front in South China
.
Meteorological Monthly
20
(
2
):
18
24
(in Chinese). Available at
https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFD9495&filename=QXXX402.002&v=LMkWq2PFIxG0Bsu7sydd9S9RQ3M%25mmd2FXaS0BD2vX4LerDCuHCaKbRFnvNm4rvBXBZZL.
Accessed 23 November 2020
.
Wu
,
D
,
Wang
,
S
,
Xia
,
J
,
Meng
,
X
,
Shang
,
K
,
Xie
,
Y
,
Wang
,
R
.
2013
.
The influence of dust events on precipitation acidity in China
.
Atmospheric Environment
79
:
138
146
. DOI: https://doi.org/10.1016/j.atmosenv.2013.06.016.
Wu
,
Q
,
Han
,
G
,
Tao
,
F
,
Tang
,
Y
.
2012
.
Chemical composition of rainwater in a karstic agricultural area, Southwest China: The impact of urbanization
.
Atmospheric Research
111
(
1
):
71
78
. DOI: https://doi.org/10.1016/j.atmosres.2012.03.002.
Wu
,
S
.
2011
.
Analysis on characteristics of chemical composition of precipitation in Yingtan
.
Jiangxi Chemical Industry
3
:
62
66
(in Chinese)
. DOI: https://cnki.net/kcms/doi/10.14127/j.cnki.jiangxihuagong.2011.03.073.html.
Wu
,
Y
,
Xu
,
Z
,
Liu
,
W
,
Zhao
,
T
,
Zhang
,
X
,
Jiang
,
H
,
Yu
,
C
,
Zhou
,
L
,
Zhou
,
X
.
2016
.
Chemical compositions of precipitation at three non-urban sites of Hebei Province, North China: Influence of terrestrial sources on ionic composition
.
Atmospheric Research
181
:
115
123
. DOI: https://doi.org/10.1016/j.atmosres.2016.06.009.
Xiao
,
H
,
Xiao
,
H
,
Long
,
A
,
Wang
,
Y
,
Liu
,
C
.
2013
.
Chemical composition and source apportionment of rainwater at Guiyang, SW China
.
Journal of Atmospheric Chemistry
70
(
3
):
269
281
. DOI: https://doi.org/10.1007/s10874-013-9268-3.
Xiao
,
J
.
2016
.
Chemical composition and source identification of rainwater constituents at an urban site in Xi’an
.
Environmental Earth Sciences
75
(
3
):
209
. DOI: https://doi.org/10.1007/s12665-015-4997-z.
Xie
,
W
,
Li
,
C
,
Jin
,
Y
.
1998
.
Chemical composition analysis of precipitation in Liaoning Province
.
Environmental Protection Science
24
(
3
):
13
15
(in Chinese)
. DOI: https://doi.org/10.16803/j.cnki.issn.1004-6216.1998.03.005.
Xing
,
J
,
Song
,
J
,
Yuan
,
H
,
Li
,
X
,
Li
,
N
,
Duan
,
L
,
Qu
,
B
,
Wang
,
Q
,
Kang
,
X
.
2017
.
Chemical characteristics, deposition fluxes and source apportionment of precipitation components in the Jiaozhou Bay, North China
.
Atmospheric Research
190
(
1
):
10
20
. DOI: https://doi.org/10.1016/j.atmosres.2017.02.001.
Xu
,
B
.
1991
.
Rainfall monitoring and its physicochemical characteristics in the east suburb of Guangzhou
.
Research of Environmental Sciences
4
(
5
):
50
54
(in Chinese)
. DOI: https://doi.org/10.13198/j.res.1991.05.52.xubx.010.
Xu
,
G
,
Wu
,
Y
.
2010
.
Present situation and major ions in acid rain in Guangzhou
.
Guangdong Chemical Industry
37
(
3
):
190
223
(in Chinese). Available at
https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFD2010&filename=GDHG201003093&v=01NkEGwbKVw2%25mmd2B5qiTUqQeUHLXy26aLIzHtGgBAbbVBgSxybC%25mmd2BZOxI0hWuCimeCo5.
Accessed 23 November 2020
.
Xu
,
L
.
2017
.
Analysis of precipitation characteristics in Taizhou from 2011 to 2015
.
Pollution Control Technology
30
(
4
):
53
55
(in Chinese). Available at
https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFDLAST2017&filename=WRFZ201704017&v=K2kbmdOTyY%25mmd2BCOQS5ipqNqaKFASQmmyTKY86ltG2RNp7EN0O8xfXRm6vGydojwZE%25mmd2F.
Accessed 23 November 2020
.
Xu
,
W
,
Wen
,
Z
,
Shang
,
B
,
Dore
,
A
,
Tang
,
A
,
Xia
,
X
,
Zheng
,
A
,
Han
,
M
,
Zhang
,
L
,
Yuanhong
,
Z
,
Zhang
,
G
,
Feng
,
Z
,
Liu
,
X
,
Zhang
,
F
.
2020
.
Precipitation chemistry and atmospheric nitrogen deposition at a rural site in Beijing, China
.
Atmospheric Environment
223
:
117253
. DOI: https://doi.org/10.1016/j.atmosenv.2019.117253.
Xu
,
Z
,
Han
,
G
.
2009
.
Chemical and strontium isotope characterization of rainwater in Beijing, China
.
Atmospheric Environment
43
(
12
):
1954
1961
. DOI: https://doi.org/10.1016/j.atmosenv.2009.01.010.
Xu
,
Z
,
Tang
,
Y
,
Ji
,
J
.
2012
.
Chemical and strontium isotope characterization of rainwater in Beijing during the 2008 Olympic year
.
Atmospheric Research
107
(
107
):
115
125
. DOI: https://doi.org/10.1016/j.atmosres.2012.01.002.
Xu
,
Z
,
Wu
,
Y
,
Liu
,
W
,
Liang
,
C
,
Ji
,
J
,
Zhao
,
T
,
Zhang
,
X
.
2015
.
Chemical composition of rainwater and the acid neutralizing effect at Beijing and Chizhou city, China
.
Atmospheric Research
164–165
:
278
285
. DOI: https://doi.org/10.1016/j.atmosres.2015.05.009.
Xu
,
Z
,
Li
,
Y
,
Yang
,
T
,
Han
,
G
.
2009
.
Chemical and strontium isotope characterization of rainwater at an urban site in Loess Plateau, northwest China
.
Atmospheric Research
94
(
3
):
481
490
. DOI: https://doi.org/10.1016/j.atmosres.2009.07.005.
Yang
,
D
,
Li
,
X
,
Chen
,
Y
,
Zou
,
B
,
Lin
,
A
.
2011
.
Characteristics of chemical compositions of precipitation in Beijing
.
Environmental Science
32
(
7
):
1867
1873
(in Chinese)
. DOI: https://doi.org/10.13227/j.hjkx.2011.07.019.
Yang
,
F
,
Tan
,
J
,
Shi
,
ZB
,
Cai
,
Y
,
He
,
K
,
Ma
,
Y
,
Duan
,
F
,
Okuda
,
T
,
Tanaka
,
S
,
Chen
,
G
.
2012
.
Five-year record of atmospheric precipitation chemistry in urban Beijing, China
.
Atmospheric Chemistry & Physics Discussions
11
(
10
):
2025
2035
. DOI: https://doi.org/10.5194/acp-12-2025-2012.
Yang
,
L
,
Huang
,
L
,
Sun
,
Y
.
2009
.
Characteristics of precipitation acidity and ion content in Changzhou city in 2007
.
Environmental Chemistry
28
(
6
):
946
947
(in Chinese). Available at
https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFD2009&filename=HJHX200906036&v=XtLHr3Hhi%25mmd2BER8xEynjuE7saSaqXx1UZDwSc6y2cm28GBkxmucPPQf3xMEEmP8UUA.
Accessed 23 November 2020
.
Yao
,
Z
,
Liang
,
L
.
2012
.
Analysis of components of precipitation and pollution status of acid rain in Foshan City
.
Journal of Green Science and Technology
7
:
158
160
(in Chinese). Available at
https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFD2012&filename=LVKJ201207084&v=1YCWQz1%25mmd2FkKy7c9Et31Osq9S3mVZIC4BLWuctOSjhWxs%25mmd2FbW4V7nSb433FiPLwFpb2.
Accessed 23 November 2020
.
Yi
,
H
,
Yan
,
W
,
Liang
,
X
,
Ouyang
,
S
,
Ouyang
,
Z
,
Guo
,
J
,
He
,
D
.
2014
.
Variation of inorganic anions in precipitation in Cinnamomum cam forests
.
Acta Ecologica Sinica
34
(
22
):
6528
6537
(in Chinese)
. DOI: https://doi.org/10.5846/stxb201401290208.
Zeng
,
J
,
Han
,
G
.
2020
a.
Preliminary copper isotope study on particulate matter in Zhujiang River, southwest China: Application for source identification
.
Ecotoxicology and Environmental Safety
198
:
110663
. DOI: https://doi.org/10.1016/j.ecoenv.2020.110663.
Zeng
,
J
,
Han
,
G
.
2020
b.
Tracing zinc sources with Zn isotope of fluvial suspended particulate matter in Zhujiang River, Southwest China
.
Ecological Indicators
118
:
106723
. DOI: https://doi.org/10.1016/j.ecolind.2020.106723.
Zeng
,
J
,
Han
,
G
,
Wu
,
Q
,
Yang
,
T
.
2019
.
Effects of agricultural alkaline substances on reducing the rainwater acidification: Insight from chemical compositions and calcium isotopes in a karst forests area
.
Agriculture Ecosystems & Environment
290
:
106782
DOI: https://doi.org/106782. 10.1016/j.agee.2019.106782.
Zeng
,
J
,
Yue
,
F
,
Li
,
S
,
Wang
,
Z
,
Qin
,
C
,
Wu
,
Q
,
Xu
,
S
.
2020
.
Agriculture driven nitrogen wet deposition in a karst catchment in southwest China
.
Agriculture, Ecosystems & Environment
294
:
106883
. DOI: https://doi.org/10.1016/j.agee.2020.106883.
Zhang
,
G
,
Liu
,
D
,
He
,
X
,
Yu
,
D
,
Pu
,
M
.
2017
a.
Acid rain in Jiangsu province, eastern China: Tempo-spatial variations features and analysis
.
Atmospheric Pollution Research
8
(
6
):
1031
1043
. DOI: https://doi.org/10.1016/j.apr.2017.02.001.
Zhang
,
L
,
Lee
,
C
,
Zhang
,
R
,
Chen
,
L
.
2017
b.
Spatial and temporal evaluation of long term trend (2005–2014) of OMI retrieved NO2 and SO2 concentrations in Henan Province, China
.
Atmospheric Environment
154
:
151
166
. DOI: https://doi.org/10.1016/j.atmosenv.2016.11.067.
Zhang
,
N
,
He
,
Y
,
Cao
,
J
,
Ho
,
K
,
Shen
,
Z
.
2012
.
Long-term trends in chemical composition of precipitation at Lijiang, southeast Tibetan Plateau, southwestern China
.
Atmospheric Research
106
(
3
):
50
60
. DOI: https://doi.org/10.1016/j.atmosres.2011.11.006.
Zhang
,
Q
,
Shen
,
Z
,
Cao
,
J
,
Zhang
,
R
,
Zhang
,
L
,
Huang
,
R
,
Zheng
,
C
,
Wang
,
L
,
Liu
,
S
,
Xu
,
H
,
Zheng
,
C
,
Liu
,
P
.
2015
.
Variations in PM2.5, TSP, BC, and trace gases (NO2, SO2, and O3) between haze and non-haze episodes in winter over Xi’an, China
.
Atmospheric Environment
112
:
64
71
. DOI: https://doi.org/10.1016/j.atmosenv.2015.04.033.
Zhang
,
R
.
2017
.
Analysis on the current situation and chemical characteristics of atmospheric precipitation in Meishan
.
Environment and Sustainable Development
3
:
180
181
(in Chinese)
. DOI: https://doi.org/10.19758/j.cnki.issn1673-288x.2017.03.052.
Zhang
,
X
,
Chai
,
F
,
Wang
,
S
,
Sun
,
X
.
2010
.
Research progress of acid precipitation in China
.
Research of Environmental Sciences
23
(
5
):
527
532
(in Chinese)
. DOI: https://doi.org/10.13198/j.res.2010.05.3.zhangxm.005.
Zhang
,
Y
,
Shen
,
L
,
Shuai
,
C
,
Bian
,
J
,
Zhu
,
M
,
Tan
,
Y
,
Ye
,
G
.
2019
.
How is the environmental efficiency in the process of dramatic economic development in the Chinese cities?
Ecological Indicators
98
:
349
362
. DOI: https://doi.org/10.1016/j.ecolind.2018.11.006.
Zhao
,
D
,
Xiong
,
J
,
Yu
,
X
,
Chan
,
W
.
1988
.
Acid rain in southwestern China
.
Atmospheric Environment
22
(
2
):
349
358
. DOI: https://doi.org/10.1016/0004-6981(88)90040-6.
Zhao
,
H
,
Tang
,
M
,
Xu
,
R
,
Ding
,
Z
,
Chang
,
Y
.
2017
.
Study on characteristics and analyses of atmospheric precipitation in Anyang City from 2006 to 2015
.
Journal of Anyang Institute of Technology
16
(
4
):
4
(in Chinese)
. DOI: https://doi.org/10.19329/j.cnki.1673-2928.2017.04.014.
Zhao
,
L
,
Qunmin
,
L
,
Li
,
L
,
Luo
,
Y
,
Yang
,
Q
,
Chen
,
G
.
2013
.
Chemical characteristics of atmospheric precipitation at Wanzhou district of Chongqing
.
Environment & Ecology in the Three Gorges
35
(
2
):
9
15
(in Chinese)
. DOI: https://doi.org/10.14068/j.ceia.2013.02.010.
Zhao
,
Y
.
2015
.
Analysis of precipitation components in the past four years in Anshan city
.
China Chemical Trade
8
:
196
(in Chinese). Available at
http://d.wanfangdata.com.cn/periodical/zghgmy201508183.
Accessed 23 November 2020
.
Zheng
,
F
,
Rao
,
W
,
Chu
,
X
,
Bai
,
H
,
Jiang
,
S
.
2020
.
Chemical and sulfur isotopic characteristics of precipitation in a representative urban site, South China: Implication for anthropogenic influences
.
Air Quality, Atmosphere & Health
13
:
349
359
. DOI: https://doi.org/10.1007/s11869-020-00798-7.
Zheng
,
L
.
2016
.
Characteristics and sources of chemical composition of atmospheric precipitation in Nanping City from 2011 to 2015
.
Chemical Engineering & Equipment
7
:
281
285
(in Chinese). Available at
https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFDLAST2016&filename=FJHG201607096&v=%25mmd2BMLORHbHnFRe1RRq4n85dmiHTPD25oYkvvHBbeqvhPfl0%25mmd2F887d3EZUDsbAtOviJA&UID=WEEvREcwSlJHSldSdmVqMDh6aSs3ZDBRWVlZQ3k0a28xY1plWVRSUEJWaz0%3d%249A4hF_YAuvQ5obgVAqNKPCYcEjKensW4IQMovwHtwkF4VYPoHbKxJw!!&PlatForm=kdoc.
Accessed 23 November 2020
.
Zheng
,
T
.
2012
.
Study on acid rain pollution of and prevention countermeasure to Leshan city, Southwest Jiaotong University
(in Chinese). Available at
https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CMFD&dbname=CMFD201301&filename=1013107099.nh&v=AUww4UPsslEWqeirWy1P3BRQiKVv%25mmd2FiSmyvQhEVvYhJll9tfv7b5fokrJOU1PY7d5.
Accessed 23 November 2020
.
Zheng
,
Y
,
Tang
,
X
,
Xu
,
J
,
Zhang
,
H
,
Yang
,
L
,
Bai
,
X
.
2007
.
The analysis of precipitation acidity and chemical composition in the industrial estate located on north bank of the Yangtze River, Nanjing
.
Research of Environmental Sciences
20
(
4
):
45
51
(in Chinese)
. DOI: https://doi.org/10.13198/j.res.2007.04.49.zhengyf.009.
Zhong
,
S
,
Wei
,
Z
,
Zhang
,
L
,
Li
,
Y
,
Du
,
J, Iop
.
2018
.
The climatic characteristics and formation mechanism of acid rain in Guilin, China, 2018 International Conference of Green Buildings and Environmental Management
.
IOP Conference Series-Earth and Environmental Science
186
:
012029
. DOI: https://doi.org/10.1088/1755-1315/186/3/012029.
Zhou
,
X
,
Xu
,
Z
,
Liu
,
W
,
Wu
,
Y
,
Zhao
,
T
,
Jiang
,
H
,
Zhang
,
X
,
Zhang
,
J
,
Zhou
,
L
,
Wang
,
Y
.
2019
.
Chemical composition of precipitation in Shenzhen, a coastal mega-city in South China: Influence of urbanization and anthropogenic activities on acidity and ionic composition
.
Science of the Total Environment
662
:
218
226
. DOI: https://doi.org/10.1016/j.scitotenv.2019.01.096.
Zhu
,
G
,
Guo
,
Q
,
Chen
,
T
,
Lang
,
Y
,
Peters
,
M
,
Tian
,
L
,
Zhang
,
H
,
Wang
,
C
.
2016
.
Chemical and sulfur isotopic composition of precipitation in Beijing, China
.
Environmental Science & Pollution Research International
23
(
6
):
5507
5515
. DOI: https://doi.org/10.1007/s11356-015-5746-2.

How to cite this article: Qu R, Han G. 2021. A critical review of the variation in rainwater acidity in 24 Chinese cities during 1982–2018. Elementa Science of the Anthropocene 9(1) DOI: https://doi.org/10.1525/elementa.2021.00142.

Domain Editor-in-Chief: Detlev Helmig, Boulder AIR LLC, Boulder, CO, USA

Associate Editor: Ralf Koppmann, Physics Department, University of Wuppertal, Wuppertal, Germany

Knowledge Domain: Atmospheric Science

Part of an Elementa Special Feature: Pan-Pacific Anthropocene

This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/.

Supplementary Material