Articles | Volume 23, issue 15
https://doi.org/10.5194/acp-23-8531-2023
© Author(s) 2023. 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-23-8531-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Aug 2023
Research article |
| 02 Aug 2023
| 02 Aug 2023
Estimating nitrogen and sulfur deposition across China during 2005 to 2020 based on multiple statistical models
Kaiyue Zhou
State Key Laboratory of Pollution Control and Resource Reuse, School
of the Environment, Nanjing University, Nanjing, Jiangsu 210023, China
Key Laboratory of Plant-Soil Interactions of MOE, College of Resources
and Environmental Sciences, National Academy of Agriculture Green
Development, China Agricultural University, Beijing 100193, China
Lin Zhang
Laboratory for Climate and Ocean-Atmosphere Sciences, Department of
Atmospheric and Oceanic Sciences, School of Physics, Peking University,
Beijing 100871, China
Mingrui Ma
State Key Laboratory of Pollution Control and Resource Reuse, School
of the Environment, Nanjing University, Nanjing, Jiangsu 210023, China
Xuejun Liu
Key Laboratory of Plant-Soil Interactions of MOE, College of Resources
and Environmental Sciences, National Academy of Agriculture Green
Development, China Agricultural University, Beijing 100193, China
Yu Zhao
CORRESPONDING AUTHOR
State Key Laboratory of Pollution Control and Resource Reuse, School
of the Environment, Nanjing University, Nanjing, Jiangsu 210023, China
Jiangsu Cooperative Innovation Center of Atmospheric Environment and
Equipment Technology (CICAEET), Nanjing University of Information Science
and Technology, Nanjing, Jiangsu 210044, China
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Jiayu Xu, Alain Clappier, Philippe Thunis, Xingpei Ye, Lu Li, and Lin Zhang
EGUsphere, https://doi.org/10.5194/egusphere-2026-4271, https://doi.org/10.5194/egusphere-2026-4271, 2026
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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Fine particles remain a major threat to health across China. We ran year-round air quality simulations, halving emissions of ammonia, nitrogen oxides, and sulfur dioxide in turn. Reducing ammonia is most effective in winter, while reducing nitrogen oxides works better in spring and summer, with a clear east–west divide across the country. Cutting either gas could prevent about 200,000 premature deaths nationwide each year, supporting controls tailored to season and region.
Jiyang Lyu, Yu Niu, Fanlei Meng, and Wen Xu
EGUsphere, https://doi.org/10.5194/egusphere-2026-2742, https://doi.org/10.5194/egusphere-2026-2742, 2026
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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We report hourly NH3 observations collected over four years at 10 sites in Quzhou County on the North China Plain. XGBoost was used to reconstruct missing observations, allowing consistent analysis of spatial, interannual, seasonal, and diurnal variation. The network resolves local and hourly changes that complement satellite products and provides ground observations for evaluating satellite retrievals and atmospheric models.
Chen Gu, Yutong Wang, Yuan Ji, Lei Zhang, Shuanzhu Sun, Yuandong Bian, Zimeng Zhang, Jiewen Zhu, Wenxin Zhao, Sheng Zhong, and Yu Zhao
Atmos. Chem. Phys., 26, 8913–8935, https://doi.org/10.5194/acp-26-8913-2026, https://doi.org/10.5194/acp-26-8913-2026, 2026
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We developed a near-real-time approach that consistently estimates the daily emissions of air pollutants. Compared to previous emission inventory, the new emission estimates better supported air quality simulation and efficiently detected short-term emission change due to unexpected events at the provincial level. By combining machine learning, moreover, the major sources of temporal variability of air quality were identified for effective policy making of air pollution controls.
Mengya Sheng, Runyi Zhou, Jiancong Hua, Shan Han, Shangyi Liu, Lin Zhang, Wei Wang, Ruijun Dang, Hansen Cao, Zichong Chen, Yixuan Gu, Mingxu Liu, Lu Lee, Chengli Qi, Feng Lu, Changpei Han, Mark W. Shephard, Nadir Guendouz, Camille Viatte, Lieven Clarisse, Martin Van Damme, Cathy Clerbaux, and Zhao-Cheng Zeng
Atmos. Chem. Phys., 26, 7803–7826, https://doi.org/10.5194/acp-26-7803-2026, https://doi.org/10.5194/acp-26-7803-2026, 2026
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Geostationary observations of NH3 provide an unprecedented opportunity to monitor spatial and temporal variations in emissions and their evolution throughout the day. Using 3 years of observations from FY-4B/GIIRS over East Asia, we demonstrated the enhanced capability of geostationary observations to identify emission sources and capture daytime variations associated with agricultural activities. This shows the potential of future geostationary satellites for monitoring air quality globally.
Xingpei Ye, Lin Zhang, Xiaolin Wang, Ni Lu, Sebastian Hickman, Guo Luo, and Alex T. Archibald
Atmos. Chem. Phys., 26, 6377–6390, https://doi.org/10.5194/acp-26-6377-2026, https://doi.org/10.5194/acp-26-6377-2026, 2026
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This study investigates how meteorology influences long-term surface ozone trends and pollution events across three major regions in eastern China using an explainable machine learning framework. The results show physically interpretable yet model-dependent ozone-meteorology relationships, highlighting both the potential and the limitations of explainable machine learning for process understanding in atmospheric chemistry.
Ruize Sun, Xiao Lu, Haipeng Lin, Tongwen Wu, Xingpei Ye, Lu Shen, Xuan Wang, Haolin Wang, Jingyu Li, Ni Lu, Jiayin Su, Jie Zhang, Fang Zhang, Xiaoge Xin, Xiong Liu, Xiao Yang, and Lin Zhang
Geosci. Model Dev., 19, 2111–2136, https://doi.org/10.5194/gmd-19-2111-2026, https://doi.org/10.5194/gmd-19-2111-2026, 2026
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We present the development of a global chemistry-climate coupled model BCC-GEOS-Chem v2.0, with improved representation of comprehensive troposphere-stratosphere chemistry and new capability to account for radiative-cloud feedbacks from short-lived climate forcers. The development of the BCC-GEOS-Chem v2.0 provides a useful framework for investigating climate–chemistry interactions and for future projections of global atmospheric chemistry
Xiao Lu, Yiming Liu, Jiayin Su, Xiang Weng, Tabish Ansari, Yuqiang Zhang, Guowen He, Yuqi Zhu, Haolin Wang, Ganquan Zeng, Jingyu Li, Cheng He, Shuai Li, Teerachai Amnuaylojaroen, Tim Butler, Qi Fan, Shaojia Fan, Grant L. Forster, Meng Gao, Jianlin Hu, Yugo Kanaya, Mohd Talib Latif, Keding Lu, Philippe Nédélec, Peer Nowack, Bastien Sauvage, Xiaobin Xu, Lin Zhang, Ke Li, Ja-Ho Koo, and Tatsuya Nagashima
Atmos. Chem. Phys., 25, 7991–8028, https://doi.org/10.5194/acp-25-7991-2025, https://doi.org/10.5194/acp-25-7991-2025, 2025
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This study analyzes summertime ozone trends in East and Southeast Asia derived from a comprehensive observational database spanning from 1995 to 2019, incorporating aircraft observations, ozonesonde data, and measurements from 2500 surface sites. Multiple models are applied to attribute to changes in anthropogenic emissions and climate. The results highlight that increases in anthropogenic emissions are the primary driver of ozone increases both in the free troposphere and at the surface.
Jinya Yang, Yutong Wang, Lei Zhang, and Yu Zhao
Atmos. Chem. Phys., 25, 2649–2666, https://doi.org/10.5194/acp-25-2649-2025, https://doi.org/10.5194/acp-25-2649-2025, 2025
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We develop a modeling framework to predict future ozone concentrations (till the 2060s) in China following an IPCC scenario. We evaluate the contributions of climatic, anthropogenic, and biogenic factors by season and region. We find persistent emission controls will alter the nonlinear response of ozone to its precursors and dominate the declining ozone level. The outcomes highlight the importance of human actions, even with a climate penalty on air quality.
Mingrui Ma, Jiachen Cao, Dan Tong, Bo Zheng, and Yu Zhao
Atmos. Chem. Phys., 25, 2147–2166, https://doi.org/10.5194/acp-25-2147-2025, https://doi.org/10.5194/acp-25-2147-2025, 2025
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We combined two global climate change pathways and three national emission control scenarios to analyze the future evolution of reactive nitrogen (Nr) deposition till the 2060s in China with air quality modeling. We show China’s clean air and carbon neutrality policies would overcome the adverse effects of climate change and efficiently reduce Nr deposition. The outflow of Nr fluxes from mainland China to the west Pacific would also be clearly reduced from continuous stringent emission controls.
Nana Wu, Guannan Geng, Ruochong Xu, Shigan Liu, Xiaodong Liu, Qinren Shi, Ying Zhou, Yu Zhao, Huan Liu, Yu Song, Junyu Zheng, Qiang Zhang, and Kebin He
Earth Syst. Sci. Data, 16, 2893–2915, https://doi.org/10.5194/essd-16-2893-2024, https://doi.org/10.5194/essd-16-2893-2024, 2024
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The commonly used method for developing large-scale air pollutant emission datasets for China faces challenges due to limited availability of detailed parameter information. In this study, we develop an efficient integrated framework to gather such information by harmonizing seven heterogeneous inventories from five research institutions. Emission characterizations are analyzed and validated, demonstrating that the dataset provides more accurate emission magnitudes and spatiotemporal patterns.
Wenxin Zhao, Yu Zhao, Yu Zheng, Dong Chen, Jinyuan Xin, Kaitao Li, Huizheng Che, Zhengqiang Li, Mingrui Ma, and Yun Hang
Atmos. Chem. Phys., 24, 6593–6612, https://doi.org/10.5194/acp-24-6593-2024, https://doi.org/10.5194/acp-24-6593-2024, 2024
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We evaluate the long-term (2000–2020) variabilities of aerosol absorption optical depth, black carbon emissions, and associated health risks in China with an integrated framework that combines multiple observations and modeling techniques. We demonstrate the remarkable emission abatement resulting from the implementation of national pollution controls and show how human activities affected the emissions with a spatiotemporal heterogeneity, thus supporting differentiated policy-making by region.
Jiachen Cao, Xu Yue, and Mingrui Ma
Atmos. Chem. Phys., 24, 3973–3987, https://doi.org/10.5194/acp-24-3973-2024, https://doi.org/10.5194/acp-24-3973-2024, 2024
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We implemented two widely used ozone damage schemes into a same regional model. Although the two schemes yielded distinct ozone vegetation damages, they predicted similar feedbacks to surface air temperature and ozone air quality in China. Our results highlighted the significance of ozone pollution control given its detrimental impacts on ecosystem functions, contributions to global warming, and amplifications of ozone pollution through ozone–vegetation coupling.
Chen Gu, Lei Zhang, Zidie Xu, Sijia Xia, Yutong Wang, Li Li, Zeren Wang, Qiuyue Zhao, Hanying Wang, and Yu Zhao
Atmos. Chem. Phys., 23, 4247–4269, https://doi.org/10.5194/acp-23-4247-2023, https://doi.org/10.5194/acp-23-4247-2023, 2023
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We demonstrated the development of a high-resolution emission inventory and its application to evaluate the effectiveness of emission control actions, by incorporating the improved methodology, the best available data, and air quality modeling. We show that substantial efforts for emission controls indeed played an important role in air quality improvement even with worsened meteorological conditions and that the contributions of individual measures to emission reduction were greatly changing.
Chuanhua Ren, Xin Huang, Tengyu Liu, Yu Song, Zhang Wen, Xuejun Liu, Aijun Ding, and Tong Zhu
Geosci. Model Dev., 16, 1641–1659, https://doi.org/10.5194/gmd-16-1641-2023, https://doi.org/10.5194/gmd-16-1641-2023, 2023
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Ammonia in the atmosphere has wide impacts on the ecological environment and air quality, and its emission from soil volatilization is highly sensitive to meteorology, making it challenging to be well captured in models. We developed a dynamic emission model capable of calculating ammonia emission interactively with meteorological and soil conditions. Such a coupling of soil emission with meteorology provides a better understanding of ammonia emission and its contribution to atmospheric aerosol.
Pu Liu, Jia Ding, Lei Liu, Wen Xu, and Xuejun Liu
Atmos. Chem. Phys., 22, 9099–9110, https://doi.org/10.5194/acp-22-9099-2022, https://doi.org/10.5194/acp-22-9099-2022, 2022
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Ammonia (NH3) is the important alkaline gas and the key component of fine particulate matter. We used satellite-based observations to analyze the changes in hourly NH3 concentrations and estimated surface NH3 concentrations and NH3 emissions in China. This study shows enormous potential for using satellite data to estimate surface NH3 concentrations and NH3 emissions and provides an important reference for understanding NH3 variation in China.
Fanlei Meng, Yibo Zhang, Jiahui Kang, Mathew R. Heal, Stefan Reis, Mengru Wang, Lei Liu, Kai Wang, Shaocai Yu, Pengfei Li, Jing Wei, Yong Hou, Ying Zhang, Xuejun Liu, Zhenling Cui, Wen Xu, and Fusuo Zhang
Atmos. Chem. Phys., 22, 6291–6308, https://doi.org/10.5194/acp-22-6291-2022, https://doi.org/10.5194/acp-22-6291-2022, 2022
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PM2.5 pollution is a pressing environmental issue threatening human health and food security globally. We combined a meta-analysis of nationwide measurements and air quality modeling to identify efficiency gains by striking a balance between controlling NH3 and acid gas emissions. Persistent secondary inorganic aerosol pollution in China is limited by acid gas emissions, while an additional control on NH3 emissions would become more important as reductions in SO2 and NOx emissions progress.
Dianyi Li, Drew Shindell, Dian Ding, Xiao Lu, Lin Zhang, and Yuqiang Zhang
Atmos. Chem. Phys., 22, 2625–2638, https://doi.org/10.5194/acp-22-2625-2022, https://doi.org/10.5194/acp-22-2625-2022, 2022
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In this study, we applied chemical transport model simulation with the latest annual anthropogenic emission inventory to study the long-term trend of ozone-induced crop production losses from 2010 to 2017 in China. We find that overall the ozone-induced crop production loss in China is significant and the annual average economic losses for wheat, rice, maize, and soybean in China are USD 9.55 billion, USD 8.53 billion, USD 2.23 billion, and USD 1.16 billion respectively, over the 8 years.
Haiyue Tan, Lin Zhang, Xiao Lu, Yuanhong Zhao, Bo Yao, Robert J. Parker, and Hartmut Boesch
Atmos. Chem. Phys., 22, 1229–1249, https://doi.org/10.5194/acp-22-1229-2022, https://doi.org/10.5194/acp-22-1229-2022, 2022
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Methane is the second most important anthropogenic greenhouse gas. Understanding methane emissions and concentration growth over China in the past decade is important to support its mitigation. This study analyzes the contributions of methane emissions from different regions and sources over the globe to methane changes over China in 2007–2018. Our results show strong international transport influences and emphasize the need of intensive methane measurements covering eastern China.
Ruqian Miao, Qi Chen, Manish Shrivastava, Youfan Chen, Lin Zhang, Jianlin Hu, Yan Zheng, and Keren Liao
Atmos. Chem. Phys., 21, 16183–16201, https://doi.org/10.5194/acp-21-16183-2021, https://doi.org/10.5194/acp-21-16183-2021, 2021
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We apply process-based and observation-constrained schemes to simulate organic aerosol in China and conduct comprehensive model–observation comparisons. The results show that anthropogenic semivolatile and intermediate-volatility organic compounds (SVOCs and IVOCs) are the main sources of secondary organic aerosol (SOA) in polluted regions, for which the residential sector is perhaps the predominant contributor. The hydroxyl radical level is also important for SOA modeling in polluted regions.
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Short summary
We developed a dataset of the long-term (2005–2020) variabilities of China’s nitrogen and sulfur deposition, with multiple statistical models that combine available observations and chemistry transport modeling. We demonstrated the strong impact of human activities and national pollution control actions on the spatiotemporal changes in deposition and indicated a relatively small benefit of emission abatement on deposition (and thereby ecological risk) for China compared to Europe and the USA.
We developed a dataset of the long-term (2005–2020) variabilities of China’s nitrogen and...
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