Articles | Volume 24, issue 2
https://doi.org/10.5194/acp-24-1509-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-24-1509-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Variations of the atmospheric polycyclic aromatic hydrocarbon concentrations, sources, and health risk and the direct medical costs of lung cancer around the Bohai Sea against a background of pollution prevention and control in China
Wenwen Ma
CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai Shandong, 264003, China
Shandong Key Laboratory of Coastal Environmental Processes, Yantai Shandong, 264003, China
University of Chinese Academy of Sciences, Beijing, 100049, China
Rong Sun
CORRESPONDING AUTHOR
CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai Shandong, 264003, China
Shandong Key Laboratory of Coastal Environmental Processes, Yantai Shandong, 264003, China
Xiaoping Wang
Ludong University, Yantai, 264025, China
Zheng Zong
CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai Shandong, 264003, China
Shandong Key Laboratory of Coastal Environmental Processes, Yantai Shandong, 264003, China
Shizhen Zhao
State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
Zeyu Sun
CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai Shandong, 264003, China
Shandong Key Laboratory of Coastal Environmental Processes, Yantai Shandong, 264003, China
University of Chinese Academy of Sciences, Beijing, 100049, China
Chongguo Tian
CORRESPONDING AUTHOR
CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai Shandong, 264003, China
Shandong Key Laboratory of Coastal Environmental Processes, Yantai Shandong, 264003, China
Jianhui Tang
CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai Shandong, 264003, China
Shandong Key Laboratory of Coastal Environmental Processes, Yantai Shandong, 264003, China
Song Cui
International Joint Research Center for Persistent Toxic Substances (IJRC-PTS), School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin, 150030, China
State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
Gan Zhang
State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
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Pingyang Li, Boji Lin, Zhineng Cheng, Jing Li, Jun Li, Duohong Chen, Tao Zhang, Run Lin, Sanyuan Zhu, Jun Liu, Yujun Lin, Shizhen Zhao, Guangcai Zhong, Zhenchuan Niu, Ping Ding, and Gan Zhang
EGUsphere, https://doi.org/10.5194/egusphere-2025-1931, https://doi.org/10.5194/egusphere-2025-1931, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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Our study indicates fossil fuel CO2 (CO2ff) reductions in Chinese megacities via atmospheric Δ(14CO2) and δ(13CO2) measurements, driven by coal-to-gas transitions and combustion efficiency improvement. Three-decade data show steeper declined urban RCO/CO2ff ratios than inventory estimates, implying underestimation of efficiency improvements and CO reductions. Integrating top-down observations with inventories is critical to track policy-driven emission shifts and optimize co-benefit strategies.
Yuying Wu, Yuhan Wang, Wenzheng Yang, Jie Zhang, Yanhong Wu, Jun Li, Gan Zhang, and Haijian Bing
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-302, https://doi.org/10.5194/essd-2025-302, 2025
Revised manuscript accepted for ESSD
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We developed a large, open-access dataset of mountain soil chemistry in China, based on over 1,300 samples from 166 sites across diverse climates and vegetation types. The dataset includes concentrations of 24 elements and key environmental variables like temperature, rainfall, and soil properties. This dataset offers a valuable resource for studying mountain ecosystems, supporting Earth system modeling, and predicting how soils respond to environmental change.
Tao Cao, Cuncun Xu, Hao Chen, Jianzhong Song, Jun Li, Haiyan Song, Bin Jiang, Yin Zhong, and Ping’an Peng
EGUsphere, https://doi.org/10.5194/egusphere-2025-561, https://doi.org/10.5194/egusphere-2025-561, 2025
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This study investigated the evolution of biomass and coal combustion-derived WSOM during aqueous photochemical process. The results indicate that photochemical aging induces distinct changes in the optical and molecular properties of WSOM and more pronounced alterations were observed during ·OH photooxidation than direct photolysis. Notably, our results also demostrated that atmospheric photooxidation may represent a significant source of BC-like substances.
Zihan Song, Leiming Zhang, Chongguo Tian, Qiang Fu, Zhenxing Shen, Renjian Zhang, Dong Liu, and Song Cui
Atmos. Chem. Phys., 24, 13101–13113, https://doi.org/10.5194/acp-24-13101-2024, https://doi.org/10.5194/acp-24-13101-2024, 2024
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A novel concept integrating crop cycle information into fire spot extraction was proposed. Spatiotemporal variations of open straw burning in Northeast China are revealed. Open straw burning in Northeast China emitted a total of 218 Tg of CO2-eq during 2001–2020. The policy of banning straw burning effectively reduced greenhouse gas emissions.
Fan Zhang, Binyu Xiao, Zeyu Liu, Yan Zhang, Chongguo Tian, Rui Li, Can Wu, Yali Lei, Si Zhang, Xinyi Wan, Yubao Chen, Yong Han, Min Cui, Cheng Huang, Hongli Wang, Yingjun Chen, and Gehui Wang
Atmos. Chem. Phys., 24, 8999–9017, https://doi.org/10.5194/acp-24-8999-2024, https://doi.org/10.5194/acp-24-8999-2024, 2024
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Mandatory use of low-sulfur fuel due to global sulfur limit regulations means large uncertainties in volatile organic compound (VOC) emissions. On-board tests of VOCs from nine cargo ships in China were carried out. Results showed that switching from heavy-fuel oil to diesel increased emission factor VOCs by 48 % on average, enhancing O3 and the secondary organic aerosol formation potential. Thus, implementing a global ultra-low-sulfur oil policy needs to be optimized in the near future.
Yangzhi Mo, Jun Li, Guangcai Zhong, Sanyuan Zhu, Shizhen Zhao, Jiao Tang, Hongxing Jiang, Zhineng Cheng, Chongguo Tian, Yingjun Chen, and Gan Zhang
Atmos. Chem. Phys., 24, 7755–7772, https://doi.org/10.5194/acp-24-7755-2024, https://doi.org/10.5194/acp-24-7755-2024, 2024
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In this study, we found that biomass burning (31.0 %) and coal combustion (31.1 %) were the dominant sources of water-insoluble organic carbon in China, with coal combustion sources exhibiting the strongest light-absorbing capacity. Additionally, we propose a light-absorbing carbonaceous continuum, revealing that components enriched with fossil sources tend to have stronger light-absorbing capacity, higher aromaticity, higher molecular weights, and greater recalcitrance in the atmosphere.
Zeyu Sun, Zheng Zong, Yang Tan, Chongguo Tian, Zeyu Liu, Fan Zhang, Rong Sun, Yingjun Chen, Jun Li, and Gan Zhang
Atmos. Chem. Phys., 23, 12851–12865, https://doi.org/10.5194/acp-23-12851-2023, https://doi.org/10.5194/acp-23-12851-2023, 2023
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This is the first report of ship-emitted nitrogen stable isotope composition (δ15N) of nitrogen oxides (NOx). The results showed that δ15N–NOx from ships was −18.5 ± 10.9 ‰ and increased monotonically with tightening emission regulations. The selective catalytic reduction system was the most vital factor. The temporal variation in δ15N–NOx was evaluated and can be used to select suitable δ15N–NOx for a more accurate assessment of the contribution of ship-emitted exhaust to atmospheric NOx.
Xiangyun Zhang, Jun Li, Sanyuan Zhu, Junwen Liu, Ping Ding, Shutao Gao, Chongguo Tian, Yingjun Chen, Ping'an Peng, and Gan Zhang
Atmos. Chem. Phys., 23, 7495–7502, https://doi.org/10.5194/acp-23-7495-2023, https://doi.org/10.5194/acp-23-7495-2023, 2023
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The results show that 14C elemental carbon (EC) was not only related to the isolation method but also to the types and proportions of the biomass sources in the sample. The hydropyrolysis (Hypy) method, which can be used to isolate a highly stable portion of ECHypy and avoid charring, is a more effective and stable approach for the matrix-independent 14C quantification of EC in aerosols, and the 13C–ECHypy and non-fossil ECHypy values of SRM1649b were –24.9 ‰ and 11 %, respectively.
Tingting Li, Jun Li, Zeyu Sun, Hongxing Jiang, Chongguo Tian, and Gan Zhang
Atmos. Chem. Phys., 23, 6395–6407, https://doi.org/10.5194/acp-23-6395-2023, https://doi.org/10.5194/acp-23-6395-2023, 2023
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N-NH4+ and N-NO3- were vital components in nitrogenous aerosols and contributed 69 % to total nitrogen in PM2.5. Coal combustion was still the most important source of urban atmospheric NO3-. However, the non-agriculture sources play an increasingly important role in NH4+ emissions.
Jiao Tang, Jun Li, Shizhen Zhao, Guangcai Zhong, Yangzhi Mo, Hongxing Jiang, Bin Jiang, Yingjun Chen, Jianhui Tang, Chongguo Tian, Zheng Zong, Jabir Hussain Syed, Jianzhong Song, and Gan Zhang
EGUsphere, https://doi.org/10.5194/egusphere-2023-403, https://doi.org/10.5194/egusphere-2023-403, 2023
Preprint archived
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This study provides a comprehensive molecular identification of atmospheric common fluorescent components and deciphers their related formation pathways. The fluorescent components varied in molecular composition, and a dominant oxidation pathway for the formation of humic-like fluorescent components was suggested, notwithstanding their different precursor types. Our findings are expected to be helpful to further studies using the EEM-PARAFAC as a tool to study atmospheric BrC.
Tao Cao, Meiju Li, Cuncun Xu, Jianzhong Song, Xingjun Fan, Jun Li, Wanglu Jia, and Ping'an Peng
Atmos. Chem. Phys., 23, 2613–2625, https://doi.org/10.5194/acp-23-2613-2023, https://doi.org/10.5194/acp-23-2613-2023, 2023
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This work comprehensively investigated the fluorescence data of light-absorbing organic compounds, water-soluble organic matter in different types of aerosol samples, soil dust, and fulvic and humic acids using an excitation–emission matrix (EEM) method and parallel factor modeling. The results revealed which light-absorbing species can be detected by EEM and also provided important information for identifying the chemical composition and possible sources of these species in atmospheric samples.
Buqing Xu, Jiao Tang, Tiangang Tang, Shizhen Zhao, Guangcai Zhong, Sanyuan Zhu, Jun Li, and Gan Zhang
Atmos. Chem. Phys., 23, 1565–1578, https://doi.org/10.5194/acp-23-1565-2023, https://doi.org/10.5194/acp-23-1565-2023, 2023
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We analyzed compound-specific dual-carbon isotope signatures (Δ14C and δ13C) of dominant secondary organic aerosol (SOA) tracer molecules (i.e., oxalic acid) to investigate the fates of SOAs in the atmosphere at five emission hotspots in China. The results indicated that SOA carbon sources and chemical processes producing SOAs vary spatially and seasonally, and these variations need to be included in Chinese climate projection models and air quality management practices.
Chunlin Zou, Tao Cao, Meiju Li, Jianzhong Song, Bin Jiang, Wanglu Jia, Jun Li, Xiang Ding, Zhiqiang Yu, Gan Zhang, and Ping'an Peng
Atmos. Chem. Phys., 23, 963–979, https://doi.org/10.5194/acp-23-963-2023, https://doi.org/10.5194/acp-23-963-2023, 2023
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In this study, PM2.5 samples were obtained during a winter haze event in Guangzhou, China, and light absorption and molecular composition of humic-like substances (HULIS) were investigated by UV–Vis spectrophotometry and ultrahigh-resolution mass spectrometry. The findings obtained present some differences from the results reported in other regions of China and significantly enhanced our understanding of HULIS evolution during haze bloom-decay processes in the subtropic region of southern China.
Hongxing Jiang, Jun Li, Jiao Tang, Min Cui, Shizhen Zhao, Yangzhi Mo, Chongguo Tian, Xiangyun Zhang, Bin Jiang, Yuhong Liao, Yingjun Chen, and Gan Zhang
Atmos. Chem. Phys., 22, 6919–6935, https://doi.org/10.5194/acp-22-6919-2022, https://doi.org/10.5194/acp-22-6919-2022, 2022
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We conducted field observation employing Fourier transform ion cyclotron resonance mass spectrometry to characterize the molecular composition and major formation pathways or sources of organosulfur compounds in Guangzhou, where is heavily influenced by biogenic–anthropogenic interactions and has high relative humidity and temperature. We suggested that heterogeneous reactions such as SO2 uptake and heterogeneous oxidations are important to the molecular variations of organosulfur compounds.
Shichao Tian, Birgit Gaye, Jianhui Tang, Yongming Luo, Wenguo Li, Niko Lahajnar, Kirstin Dähnke, Tina Sanders, Tianqi Xiong, Weidong Zhai, and Kay-Christian Emeis
Biogeosciences, 19, 2397–2415, https://doi.org/10.5194/bg-19-2397-2022, https://doi.org/10.5194/bg-19-2397-2022, 2022
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We constrain the nitrogen budget and in particular the internal sources and sinks of nitrate in the Bohai Sea by using a mass-based and dual stable isotope approach based on δ15N and δ18O of nitrate. Based on available mass fluxes and isotope data an updated nitrogen budget is proposed. Compared to previous estimates, it is more complete and includes the impact of the interior cycle (nitrification) on the nitrate pool. The main external nitrogen sources are rivers contributing 19.2 %–25.6 %.
Jiao Tang, Jiaqi Wang, Guangcai Zhong, Hongxing Jiang, Yangzhi Mo, Bolong Zhang, Xiaofei Geng, Yingjun Chen, Jianhui Tang, Congguo Tian, Surat Bualert, Jun Li, and Gan Zhang
Atmos. Chem. Phys., 21, 11337–11352, https://doi.org/10.5194/acp-21-11337-2021, https://doi.org/10.5194/acp-21-11337-2021, 2021
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This article provides a combined EEM–PARAFAC and statistical analysis method to explore how excitation–emission matrix (EEM) chromophores influence BrC light absorption in soluble organic matter. The application enables us to deduce that BrC absorption is mainly dependent on longer-emission-wavelength chromophores largely associated with biomass burning emissions. This method promotes the application of EEM spectroscopy and helps us understand the light absorption of BrC in the atmosphere.
Xuewu Fu, Chen Liu, Hui Zhang, Yue Xu, Hui Zhang, Jun Li, Xiaopu Lyu, Gan Zhang, Hai Guo, Xun Wang, Leiming Zhang, and Xinbin Feng
Atmos. Chem. Phys., 21, 6721–6734, https://doi.org/10.5194/acp-21-6721-2021, https://doi.org/10.5194/acp-21-6721-2021, 2021
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TGM concentrations and isotopic compositions in 10 Chinese cities showed strong seasonality with higher TGM concentrations and Δ199Hg and lower δ202Hg in summer. We found the seasonal variations in TGM concentrations and isotopic compositions were highly related to regional surface Hg(0) emissions, suggesting land surface Hg(0) emissions are an important source of atmospheric TGM that contribute dominantly to the seasonal variations in TGM concentrations and isotopic compositions.
Ruiqi Jiang, Tianxiao Li, Dong Liu, Qiang Fu, Renjie Hou, Qinglin Li, Song Cui, and Mo Li
The Cryosphere, 15, 2133–2146, https://doi.org/10.5194/tc-15-2133-2021, https://doi.org/10.5194/tc-15-2133-2021, 2021
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This paper outlines the results from laboratory tests of soil freezing impacts on infiltration rates, hydraulic conductivity, and soil pore distribution characteristics. The results indicated that macropores (> 5 mm) accounted for < 1 % of the pore-volume-contributed half of the flow in unfrozen conditions and that the freezing of macropores resulted in considerable decreases in hydraulic conductivity. The results should be of interest for cold region hydrology in general.
Jianzhong Sun, Yuzhe Zhang, Guorui Zhi, Regina Hitzenberger, Wenjing Jin, Yingjun Chen, Lei Wang, Chongguo Tian, Zhengying Li, Rong Chen, Wen Xiao, Yuan Cheng, Wei Yang, Liying Yao, Yang Cao, Duo Huang, Yueyuan Qiu, Jiali Xu, Xiaofei Xia, Xin Yang, Xi Zhang, Zheng Zong, Yuchun Song, and Changdong Wu
Atmos. Chem. Phys., 21, 2329–2341, https://doi.org/10.5194/acp-21-2329-2021, https://doi.org/10.5194/acp-21-2329-2021, 2021
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Brown carbon (BrC) emission factors from household biomass fuels were measured with an integrating sphere optics approach supported by iterative calculations. A novel algorithm to directly estimate the absorption contribution of BrC relative to that of BrC + black carbon (FBrC) was proposed based purely on the absorption exponent (AAE)
(FBrC = 0.5519 lnAAE + 0.0067). The FBrC for household biomass fuels was as high as 50.8 % across the strongest solar spectral range of 350−850 nm.
Qingcai Chen, Haoyao Sun, Wenhuai Song, Fang Cao, Chongguo Tian, and Yan-Lin Zhang
Atmos. Chem. Phys., 20, 14407–14417, https://doi.org/10.5194/acp-20-14407-2020, https://doi.org/10.5194/acp-20-14407-2020, 2020
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This study found environmentally persistent free radicals (EPFRs) are widely present in atmospheric particles of different particle sizes and exhibit significant particle size distribution characteristics. EPFR concentrations are higher in coarse particles than in fine particles in summer and vice versa in winter. The potential toxicity caused by EPFRs may also vary with particle size and season. Combustion is the most important source of EPFRs (>70 %).
Cited articles
Agudelo-Castañeda, D. M., Teixeira, E. C., Schneider, I. L., Lara, S. R., and Silva, L. F. O.: Exposure to polycyclic aromatic hydrocarbons in atmospheric PM1.0 of urban environments: Carcinogenic and mutagenic respiratory health risk by age groups, Environ. Pollut., 224, 158–170, https://doi.org/10.1016/j.envpol.2017.01.075, 2017.
Air quality historical data query: Air quality index monthly statistical historical data, https://www.aqistudy.cn/historydata/ (last access: 31 August 2023), 2014–2019.
Alves, C. A., Vicente, A. M., Custodio, D., Cerqueira, M., Nunes, T., Pio, C., Lucarelli, F., Calzolai, G., Nava, S., Diapouli, E., Eleftheriadis, K., Querol, X., and Musa Bandowe, B. A.: Polycyclic aromatic hydrocarbons and their derivatives (nitro-PAHs, oxygenated PAHs, and azaarenes) in PM2.5 from Southern European cities, Sci. Total Environ., 595, 494–504, https://doi.org/10.1016/j.scitotenv.2017.03.256, 2017.
Biache, C., Mansuy-Huault, L., and Faure, P.: Impact of oxidation and biodegradation on the most commonly used polycyclic aromatic hydrocarbon (PAH) diagnostic ratios: Implications for the source identifications, J. Hazard. Mater., 267, 31–39, https://doi.org/10.1016/j.jhazmat.2013.12.036, 2014.
Bulletin of the State of China's ecological Environment: Environmental quality, http://www.mee.gov.cn/hjzl/sthjzk/zghjzkgb/ (last access: 31 August 2023), 2021.
Cao, M., Wang, M., and Song, F.: Secular trend of lung cancer incidence in Hexi District, Tianjin, 1992–2012, Tumor, 36, 1330–1334, 2016.
Chao, S. H., Liu, J. W., Chen, Y. J., Cao, H. B., and Zhang, A. C.: Implications of seasonal control of PM2.5-bound PAHs: An integrated approach for source apportionment, source region identification and health risk assessment, Environ. Pollut., 247, 685–695, https://doi.org/10.1016/j.envpol.2018.12.074, 2019.
Chen, C., Fang, J. L., Shi, W. Y., Li, T. T., and Shi, X. M.: Clean air actions and health plans in China, Chinese Med. J.-Peking, 133, 1609–1611, https://doi.org/10.1097/cm9.0000000000000888, 2020.
Colvin, K. A., Lewis, C., and Galloway, T. S.: Current issues confounding the rapid toxicological assessment of oil spills, Chemosphere, 245, 125585, https://doi.org/10.1016/j.chemosphere.2019.125585, 2020.
Ding, Y. H. and Chan, J. C. L.: The East Asian summer monsoon: an overview, Meteorol. Atmos. Phys., 89, 117–142, https://doi.org/10.1007/s00703-005-0125-z, 2005.
Eng, A., Harner, T., and Pozo, K.: A prototype passive air sampler for measuring dry deposition of polycyclic aromatic hydrocarbons, Environ. Sci. Technol. Let., 1, 77–81, https://doi.org/10.1021/ez400044z, 2014.
Fan, L. P., Fu, S., Wang, X., Fu, Q. Y., Jia, H. H., Xu, H., Qin, G. M., Hu, X., and Cheng, J. P.: Spatiotemporal variations of ambient air pollutants and meteorological influences over typical urban agglomerations in China during the COVID-19 lockdown, J. Environ. Sci., 106, 26–38, https://doi.org/10.1016/j.jes.2021.01.006, 2021.
Fang, D., Wang, Q., Li, H., Yu, Y., Lu, Y., and Qian, X.: Mortality effects assessment of ambient PM2.5 pollution in the 74 leading cities of China, Sci. Total Environ., 569–570, 1545–1552, https://doi.org/10.1016/j.scitotenv.2016.06.248, 2016.
Fang, Y., Chen, Y., Tian, C., Lin, T., Hu, L., Li, J., and Zhang, G.: Application of PMF receptor model merging with PAHs signatures for source apportionment of black carbon in the continental shelf surface sediments of the Bohai and Yellow Seas, China, J. Geophys. Res.-Oceans., 121, 1346–1359, https://doi.org/10.1002/2015JC011214, 2016.
Feng, J., Guo, Z., Chan, C. K., and Fang, M.: Properties of organic matter in PM2.5 at Changdao Island, China – A rural site in the transport path of the Asian continental outflow, Atmos. Environ., 41, 1924–1935, https://doi.org/10.1016/j.atmosenv.2006.10.064, 2007.
Gao, Y., Guo, X., Ji, H., Li, C., Ding, H., Briki, M., Tang, L., and Zhang, Y.: Potential threat of heavy metals and PAHs in PM2.5 in different urban functional areas of Beijing, Atmos. Res., 178–179, 6–16, https://doi.org/10.1016/j.atmosres.2016.03.015, 2016.
Gibbs, G. W.: Estimating residential polycyclic aromatic hydrocarbon (PAH) related lung cancer risks using occupational data, Ann. Occup. Hyg., 41, 49–53, https://doi.org/10.1093/ANNHYG/41.INHALED_PARTICLES, 1997.
Gong, P., Wang, X. P., and Yao, T. D.: Ambient distribution of particulate- and gas-phase n-alkanes and polycyclic aromatic hydrocarbons in the Tibetan Plateau, Environ. Earth. Sci., 64, 1703–1711, https://doi.org/10.1007/s12665-011-0974-3, 2011.
Guo, X., Zhao, L., Chen, D., Jia, Y., Zhao, N., Liu, W., and Cheng, S.: Air quality improvement and health benefit of PM2.5 reduction from the coal cap policy in the Beijing–Tianjin–Hebei (BTH) region, China, Environ. Sci. Pollut. R., 25, 32709–32720, https://doi.org/10.1007/s11356-018-3014-y, 2018.
Han, M., Liu, S., Liu, M., Lu, M., Yan, W., He, Y., Dang, H., Dai, X., Zhang, Z., Du, X., and Meng, F.: Assessment of the effect of the reduction of the residential coal combustion on the atmospheric BaP pollution in Beijing–Tianjin–Hebei region, China Environmental Science, 38, 3262–3272, 2018.
Hong, W. J., Jia, H., Ma, W. L., Sinha, R. K., Moon, H. B., Nakata, H., Nguyen Hung, M., Chi, K. H., Li, W. L., Kannan, K., Sverko, E., and Li, Y. F.: Distribution, fate, inhalation exposure and lung cancer risk of atmospheric polycyclic aromatic hydrocarbons in some Asian countries, Environ. Sci. Technol., 50, 7163–7174, https://doi.org/10.1021/acs.est.6b01090, 2016.
Huang, C., Wang, Q., Wang, S., Ren, M., Ma, R., and He, Y.: Air pollution prevention and control policy in China, Adv. Exp. Med. Biol., 1017, 243–261, https://doi.org/10.1007/978-981-10-5657-4_11, 2017.
Huang, H. Y., Shi, J. F., Guo, L. W., Zhu, X. Y., Wang, L., Liao, X. Z., Liu, G. X., Bai, Y. N., Mao, A. Y., Ren, J. S., Sun, X. J., Zhang, K., He, J., and Dai, M.: Expenditure and financial burden for common cancers in China: a hospital-based multicentre cross-sectional study, Lancet, 388, 10–10, https://doi.org/10.1016/S0140-6736(16)31937-7, 2016.
Jaward, T. M., Zhang, G., Nam, J. J., Sweetman, A. J., Obbard, J. P., Kobara, Y., and Jones, K. C.: Passive air sampling of polychlorinated biphenyls, organochlorine compounds, and polybrominated diphenyl ethers across Asia, Environ. Sci. Technol., 39, 8638–8645, https://doi.org/10.1021/es051382h, 2005.
Křůmal, K. and Mikuška, P.: Mass concentrations and lung cancer risk assessment of PAHs bound to PM1 aerosol in six industrial, urban, and rural areas in the Czech Republic, Central Europe, Atmos. Pollut. Res., 11, 401–408, https://doi.org/10.1016/j.apr.2019.11.012, 2020.
Li, N., Zhang, X., Shi, M., and Hewings, G. J. D.: Does China's air pollution abatement policy matter? An assessment of the Beijing–Tianjin–Hebei region based on a multi-regional CGE model, Energ. Policy, 127, 213–227, https://doi.org/10.1016/j.enpol.2018.12.019, 2019.
Li, W., Park, R., Alexandrou, N., Dryfhout-Clark, H., Brice, K., and Hung, H.: Multi-year analyses reveal different trends, sources, and implications for source-related human health risks of atmospheric polycyclic aromatic hydrocarbons in the Canadian Great Lakes Basin, Environ. Sci. Technol., 55, 2254–2264, https://doi.org/10.1021/acs.est.0c07079, 2021.
Li, Z. Y., Wang, Y. T., Li, Z. X., Guo, S. T., and Hu, Y.: Levels and Sources of PM2.5-associated PAHs during and after the Wheat Harvest in a Central Rural Area of the Beijing–Tianjin–Hebei (BTH) Region, Aerosol. Air Qual. Res., 20, 1070–1082, https://doi.org/10.4209/aaqr.2020.03.0083, 2020.
Lian, L., Huang, T., Ling, Z., Li, S., Li, J., Jiang, W., Gao, H., Tao, S., Liu, J., Xie, Z., Mao, X., and Ma, J.: Interprovincial trade driven relocation of polycyclic aromatic hydrocarbons and lung cancer risk in China, J. Clean. Prod., 280, 124368, https://doi.org/10.1016/j.jclepro.2020.124368, 2021.
Liang, X., Tian, C., Zong, Z., Wang, X., Jiang, W., Chen, Y., Ma, J., Luo, Y., Li, J., and Zhang, G.: Flux and source-sink relationship of heavy metals and arsenic in the Bohai Sea, China, Environ. Pollut., 242, 1353–1361, https://doi.org/10.1016/j.envpol.2018.08.011, 2018.
Liao, C. M., Chio, C. P., Chen, W. Y., Ju, Y. R., Li, W. H., Cheng, Y. H., Liao, V. H. C., Chen, S. C., and Ling, M. P.: Lung cancer risk in relation to traffic-related nano/ultrafine particle-bound PAHs exposure: A preliminary probabilistic assessment, J. Hazard. Mater., 190, 150–158, https://doi.org/10.1016/j.jhazmat.2011.03.017, 2011.
Lin, Y., Ma, Y., Qiu, X., Li, R., Fang, Y., Wang, J., Zhu, Y., and Hu, D.: Sources, transformation, and health implications of PAHs and their nitrated, hydroxylated, and oxygenated derivatives in PM2.5 in Beijing, J. Geophys. Res., 120, 7219–7228, https://doi.org/10.1002/2015JD023628, 2015.
Liu, H., Li, B., Qi, H., Ma, L., Xu, J., Wang, M., Ma, W., and Tian, C.: Source apportionment and toxic potency of polycyclic aromatic hydrocarbons (PAHs) in the air of Harbin, a cold city in Northern China, Atmosphere-Basel, 12, 297, https://doi.org/10.3390/atmos12030297, 2021.
Liu, W. J., Xu, Y. S., Zhao, Y. Z., Liu, Q. Y., Yu, S. Y., Liu, Y., Wang, X., Liu, Y., Tao, S., and Liu, W. X.: Occurrence, source, and risk assessment of atmospheric parent polycyclic aromatic hydrocarbons in the coastal cities of the Bohai and Yellow Seas, China, Environ. Pollut., 254, 113046, https://doi.org/10.1016/j.envpol.2019.113046, 2019.
Luo, M., Ji, Y. Y., Ren, Y. Q., Gao, F. H., Zhang, H., Zhang, L. H., Yu, Y. Q., and Li, H.: Characteristics and health risk assessment of PM2.5-bound PAHs during heavy air pollution episodes in winter in urban area of Beijing, China, Atmosphere-Basel, 12, 323, https://doi.org/10.3390/atmos12030323, 2021.
Lv, M., Luan, X., Liao, C., Wang, D., Liu, D., Zhang, G., Jiang, G., and Chen, L.: Human impacts on polycyclic aromatic hydrocarbon distribution in Chinese intertidal zones, Nature Sustainability, 3, 878–884, https://doi.org/10.1038/s41893-020-0565-y, 2020.
Ma, W. L., Li, Y. F., Qi, H., Sun, D. Z., Liu, L. Y., and Wang, D. G.: Seasonal variations of sources of polycyclic aromatic hydrocarbons (PAHs) to a northeastern urban city, China, Chemosphere, 79, 441–447, https://doi.org/10.1016/j.chemosphere.2010.01.048, 2010.
Ma, W. L., Liu, L. Y., Jia, H. L., Yang, M., and Li, Y. F.: PAHs in Chinese atmosphere Part I: Concentration, source and temperature dependence, Atmos. Environ., 173, 330–337, https://doi.org/10.1016/j.atmosenv.2017.11.029, 2018.
Ma, W. L., Zhu, F. J., Liu, L. Y., Jia, H. L., Yang, M., and Li, Y. F.: PAHs in Chinese atmosphere Part II: Health risk assessment, Ecotox. Environ. Safe., 200, 110774, https://doi.org/10.1016/j.ecoenv.2020.110774, 2020.
Ma, Y. X., Xie, Z. Y., Yang, H. Z., Moller, A., Halsall, C., Cai, M. H., Sturm, R., and Ebinghaus, R.: Deposition of polycyclic aromatic hydrocarbons in the North Pacific and the Arctic, J. Geophys. Res.-Atmos., 118, 5822–5829, https://doi.org/10.1002/jgrd.50473, 2013.
Marvin, C. H., Tomy, G. T., Thomas, P. J., Holloway, A. C., Sandau, C. D., Idowu, I., and Xia, Z.: Considerations for prioritization of polycyclic aromatic compounds as environmental contaminants, Environ. Sci. Technol., 54, 14787–14789, https://doi.org/10.1021/acs.est.0c04892, 2020.
Menzler, S., Piller, G., Gruson, M., Rosario, A. S., Wichrnann, H. E., and Kreienbrock, L.: Population attributable fraction for lung cancer due to residential radon in Switzerland and Germany, Health Phys., 95, 179–189, https://doi.org/10.1097/01.Hp.0000309769.55126.03, 2008.
Moeckel, C., Harner, T., Nizzetto, L., Strandberg, B., Lindroth, A., and Jones, K. C.: Use of depuration compounds in passive air samplers: results from active sampling-supported field deployment, potential uses, and recommendations, Environ. Sci. Technol., 43, 3227–3232, https://doi.org/10.1021/es802897x, 2009.
Paatero, P., Eberly, S., Brown, S. G., and Norris, G. A.: Methods for estimating uncertainty in factor analytic solutions, Atmos. Meas. Tech., 7, 781–797, https://doi.org/10.5194/amt-7-781-2014, 2014.
Qu, L., Yang, L., Zhang, Y., Wang, X., Sun, R., Li, B., Lv, X., Chen, Y., Wang, Q., Tian, C., and Ji, L.: Source Apportionment and Toxic Potency of PM2.5-Bound Polycyclic Aromatic Hydrocarbons (PAHs) at an Island in the Middle of Bohai Sea, China, Atmosphere-Basel, 13, 699, https://doi.org/10.3390/atmos13050699, 2022.
Ramírez, N., Cuadras, A., Rovira, E., Marcé, R. M., and Borrull, F.: Risk Assessment Related to Atmospheric Polycyclic Aromatic Hydrocarbons in Gas and Particle Phases near Industrial Sites, Environ. Health Perspect., 119, 1110–1116, https://doi.org/10.1289/ehp.1002855, 2011.
Shi, C. L., Lou, P. A., Shi, J. F., Huang, H. Y., Li, J., Yue, Y. P., Wang, L., Dong, Z. M., Chen, P. P., Zhang, P., Zhao, C. Y., Li, F., Zhou, J. Y., and Dai, M.: Economic burden of lung cancer in mainland China,1996-2014: a systematic review, China Journal of Public Health, 33, 1767–1774, https://doi.org/10.11847/zgggws2017-33-12-25, 2017.
Sofowote, U. M., Hung, H., Rastogi, A. K., Westgate, J. N., Deluca, P. F., Su, Y. S., and McCarry, B. E.: Assessing the long-range transport of PAH to a sub-Arctic site using positive matrix factorization and potential source contribution function, Atmos. Environ., 45, 967–976, https://doi.org/10.1016/j.atmosenv.2010.11.005, 2011.
Sun, R., Wang, X., Tian, C., Zong, Z., Ma, W., Zhao, S., Wang, Y., Tang, J., Cui, S., Li, J., and Zhang, G.: Exploring source footprint of Organophosphate esters in the Bohai Sea, China: Insight from temporal and spatial variabilities in the atmosphere from June 2014 to May 2019, Environ. Int., 159, 107044, https://doi.org/10.1016/j.envint.2021.107044, 2022.
Sun, Z., Zong, Z., Tian, C., Li, J., Sun, R., Ma, W., Li, T., and Zhang, G.: Reapportioning the sources of secondary components of PM2.5: combined application of positive matrix factorization and isotopic evidence, Sci. Total Environ., 764, 142925, https://doi.org/10.1016/j.scitotenv.2020.142925, 2021.
Taghvaee, S., Sowlat, M. H., Hassanvand, M. S., Yunesian, M., Naddafi, K., and Sioutas, C.: Source-specific lung cancer risk assessment of ambient PM2.5-bound polycyclic aromatic hydrocarbons (PAHs) in central Tehran, Environ. Int., 120, 321–332, https://doi.org/10.1016/j.envint.2018.08.003, 2018.
Tan, J. H., Bi, X. H., Duan, J. C., Rahn, Kenneth A., Sheng, G. Y., and Fu, J. M.: Seasonal variation of particulate polycyclic aromatic hydrocarbons associated with PM10 in Guangzhou, China, Atmos. Res., 80, 250–262, https://doi.org/10.1016/j.atmosres.2005.09.004, 2006.
Tian, C., Ma, J., Liu, L., Jia, H., Xu, D., and Li, Y. F.: A modeling assessment of association between East Asian summer monsoon and fate/outflow of α-HCH in Northeast Asia, Atmos. Environ., 43, 3891–3901, https://doi.org/10.1016/j.atmosenv.2009.04.056, 2009.
Tong, L., Peng, C. H., Huang, Z. W., Zhang, J. J., Dai, X. R., Xiao, H., Xu, N. B., and He, J.: Identifying the pollution characteristics of atmospheric polycyclic aromatic hydrocarbons associated with functional districts in Ningbo, China, B. Environ. Contam. Tox., 103, 34–40, https://doi.org/10.1007/s00128-018-02535-4, 2019.
Wang, X. P., Zong, Z., Tian, C. G., Chen, Y. J., Luo, C. L., Tang, J. H., Li, J., and Zhang, G.: Assessing on toxic potency of PM2.5-bound polycyclic aromatic hydrocarbons at a national atmospheric background site in North China, Sci. Total Environ., 612, 330–338, https://doi.org/10.1016/j.scitotenv.2017.08.208, 2018.
Wu, D., Xu, Y., and Zhang, S.: Will joint regional air pollution control be more cost-effective? An empirical study of China's Beijing–Tianjin–Hebei region, J. Environ. Manage., 149, 27–36, https://doi.org/10.1016/j.jenvman.2014.09.032, 2015.
Xing, X., Chen, Z., Tian, Q., Mao, Y., Liu, W., Shi, M., Cheng, C., Hu, T., Zhu, G., Li, Y., Zheng, H., Zhang, J., Kong, S., and Qi, S.: Characterization and source identification of PM2.5-bound polycyclic aromatic hydrocarbons in urban, suburban, and rural ambient air, central China during summer harvest, Ecotox. Environ. Safe., 191, 110219, https://doi.org/10.1016/j.ecoenv.2020.110219, 2020.
Yan, Z., Jin, L., Chen, X., Wang, H., Tang, Q., Wang, L., and Lei, Y.: Assessment of air pollutants emission reduction potential and health benefits for residential heating coal changing to electricity in the Beijing–Tianjin–Hebei region, Research of Environmental Sciences, 32, 95–103, https://doi.org/10.13198/j.issn.1001-6929.2018.10.16, 2019.
Yang, Q. Q., Yuan, Q. Q., Li, T. W., Shen, H. F., and Zhang, L. P.: The relationships between PM2.5 and meteorological factors in China: seasonal and regional variations, Int. J. Env. Res. Pub. He., 14, 1510, https://doi.org/10.3390/ijerph14121510, 2017.
Yu, Q. Q., Gao, B., Li, G. H., Zhang, Y. L., He, Q. F., Deng, W., Huang, Z. H., Ding, X., Hu, Q. H., Huang, Z. Z., Wang, Y. J., Bi, X. H., and Wang, X. M.: Attributing risk burden of PM2.5-bound polycyclic aromatic hydrocarbons to major emission sources: Case study in Guangzhou, south China, Atmos. Environ., 142, 313–323, https://doi.org/10.1016/j.atmosenv.2016.08.009, 2016.
Zhang, J., Liu, W., Xu, Y., Cai, C., Liu, Y., Tao, S., and Liu, W.: Distribution characteristics of and personal exposure with polycyclic aromatic hydrocarbons and particulate matter in indoor and outdoor air of rural households in Northern China, Environ. Pollut., 255, 113176, https://doi.org/10.1016/j.envpol.2019.113176, 2019.
Zhang, J. W., Zhao, J., Cai, J., Gao, S. T., Li, J., Zeng, X. Y., and Yu, Z. Q.: Spatial distribution and source apportionment of atmospheric polycyclic aromatic hydrocarbons in the Pearl River Delta, China, Atmos. Pollut. Res., 9, 887–893, https://doi.org/10.1016/j.apr.2018.02.004, 2018.
Zhang, J. W., Feng, L. H., Zhao, Y., Hou, C. C., and Gu, Q.: Health risks of PM2.5-bound polycyclic aromatic hydrocarbon (PAH) and heavy metals (PPAH&HM) during the replacement of central heating with urban natural gas in Tianjin, China, Environ. Geochem. Hlth., 44, 2495–2514, https://doi.org/10.1007/s10653-021-01040-8, 2021.
Zhang, S. W., Chen, W. Q., Kong, L. Z., Li, G. L., and Zhao, P.: An Annual Report: Cancer Incidence in 35 Cancer Registries in China, 2003, China Cancer, 494–507, https://doi.org/10.3969/j.issn.1004-0242.2007.07.001, 2007.
Zhang, X., Leng, S., Qiu, M., Ding, Y., Zhao, L., Ma, N., Sun, Y., Zheng, Z., Wang, S., Li, Y., and Guo, X.: Chemical fingerprints and implicated cancer risks of Polycyclic aromatic hydrocarbons (PAHs) from fine particulate matter deposited in human lungs, Environ. Int., 173, 107845, https://doi.org/10.1016/j.envint.2023.107845, 2023.
Zhang, Y. J., Lin, Y., Cai, J., Liu, Y., Hong, L. N., Qin, M. M., Zhao, Y. F., Ma, J., Wang, X. S., Zhu, T., Qiu, X. H., and Zheng, M.: Atmospheric PAHs in North China: Spatial distribution and sources, Sci. Total Environ., 565, 994–1000, https://doi.org/10.1016/j.scitotenv.2016.05.104, 2016.
Zhang, Y. X., Tao, S., Cao, J., and Coveney, R. M.: Emission of polycyclic aromatic hydrocarbons in China by county, Environ. Sci. Technol., 41, 683–687, https://doi.org/10.1021/es061545h, 2007.
Zhang, Y. X., Tao, S., Shen, H. Z., and Ma, J. M.: Inhalation exposure to ambient polycyclic aromatic hydrocarbons and lung cancer risk of Chinese population, P. Natl. Acad. Sci. USA, 106, 21063–21067, https://doi.org/10.1073/pnas.0905756106, 2009.
Zhao, H., Wu, R., Liu, Y., Cheng, J., Geng, G., Zheng, Y., Tian, H., He, K., and Zhang, Q.: Air pollution health burden embodied in China's supply chains, Environmental Science and Ecotechnology, 16, 100264–100264, https://doi.org/10.1016/j.ese.2023.100264, 2023.
Zhi, Z., Wang, W., Cheng, M., Liu, S., Xu, J., He, Y., and Meng, F.: The contribution of residential coal combustion to PM2.5 pollution over China's Beijing–Tianjin–Hebei region in winter, Atmos. Environ., 159, 147–161, https://doi.org/10.1016/j.atmosenv.2017.03.054, 2017.
Zhu, D., Tao, S., Wang, R., Shen, H., Huang, Y., Shen, G., Wang, B., Li, W., Zhang, Y., Chen, H., Chen, Y., Liu, J., Li, B., Wang, X., and Liu, W.: Temporal and spatial trends of residential energy consumption and air pollutant emissions in China, Appl. Energ., 106, 17–24, https://doi.org/10.1016/j.apenergy.2013.01.040, 2013.
Zhuo, S., Shen, G., Zhu, Y., Du, W., Pan, X., Li, T., Han, Y., Li, B., Liu, J., Cheng, H., Xing, B., and Tao, S.: Source-oriented risk assessment of inhalation exposure to ambient polycyclic aromatic hydrocarbons and contributions of non-priority isomers in urban Nanjing, a megacity located in Yangtze River Delta, China, Environ. Pollut., 224, 796–809, https://doi.org/10.1016/j.envpol.2017.01.039, 2017.
Short summary
This is the first report of long-term atmospheric PAH monitoring around the Bohai Sea. The results showed that the concentrations of PAHs in the atmosphere around the Bohai Sea decreased from June 2014 to May 2019, especially the concentrations of highly toxic PAHs. This indicates that the contributions from PAH sources changed to a certain extent in different areas, and it also led to reductions in the related health risk and medical costs following pollution prevention and control.
This is the first report of long-term atmospheric PAH monitoring around the Bohai Sea. The...
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