Articles | Volume 22, issue 22
https://doi.org/10.5194/acp-22-14799-2022
© Author(s) 2022. 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-22-14799-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Nov 2022
Research article |
| 22 Nov 2022
| 22 Nov 2022
Examining the implications of photochemical indicators for O3–NOx–VOC sensitivity and control strategies: a case study in the Yangtze River Delta (YRD), China
Xun Li
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and
Pollution Control, Collaborative Innovation Center of Atmospheric
Environment and Equipment Technology, Nanjing University of Information
Science and Technology, Nanjing, 210044, China
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and
Pollution Control, Collaborative Innovation Center of Atmospheric
Environment and Equipment Technology, Nanjing University of Information
Science and Technology, Nanjing, 210044, China
Lin Li
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and
Pollution Control, Collaborative Innovation Center of Atmospheric
Environment and Equipment Technology, Nanjing University of Information
Science and Technology, Nanjing, 210044, China
Kangjia Gong
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and
Pollution Control, Collaborative Innovation Center of Atmospheric
Environment and Equipment Technology, Nanjing University of Information
Science and Technology, Nanjing, 210044, China
Huizhong Shen
School of Environmental Sciences and Engineering, Southern University
of Science and Technology, Shenzhen, 518055, China
Jingyi Li
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and
Pollution Control, Collaborative Innovation Center of Atmospheric
Environment and Equipment Technology, Nanjing University of Information
Science and Technology, Nanjing, 210044, China
Jianlin Hu
CORRESPONDING AUTHOR
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and
Pollution Control, Collaborative Innovation Center of Atmospheric
Environment and Equipment Technology, Nanjing University of Information
Science and Technology, Nanjing, 210044, China
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Atmos. Chem. Phys., 25, 18111–18127, https://doi.org/10.5194/acp-25-18111-2025, https://doi.org/10.5194/acp-25-18111-2025, 2025
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We compare six major anthropogenic CO2 emission inventories in China during the period 2000–2023 to assess emission trends and uncertainties. National emissions show a clear three‑phase pattern, with uncertainties below 5 % (1σ) at the national scale but much higher at the provincial level (10–50 %, 1σ). High-emission regions often have the largest uncertainties. Our findings support more accurate emission estimates and the verification emission reduction policies.
Huilin Hu, Yunyi Liang, Ting Li, Yongliang She, Yao Wang, Ting Yang, Min Zhou, Ziyue Li, Chenxi Li, Huayun Xiao, Jianlin Hu, Jingyi Li, and Yue Zhao
Atmos. Chem. Phys., 25, 17889–17906, https://doi.org/10.5194/acp-25-17889-2025, https://doi.org/10.5194/acp-25-17889-2025, 2025
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Isoprene-derived secondary organic aerosol (iSOA) is a major type of biogenic SOA in the atmosphere, yet its response to long-term anthropogenic emission reductions remains poorly understood. Here, combing field observations and model simulations, we characterized the abundance, trend, and underlying drivers of iSOA in Shanghai, China during 2015–2021, which will advance our understandings of the formation and impacts of biogenic SOA under rapidly evolving emission scenarios in urban regions.
Yuguang Zhu, Zhilin Guo, Sichen Wan, Kewei Chen, Yushan Wang, Zhenzhong Zeng, Huizhong Shen, Jianhuai Ye, and Chunmiao Zheng
EGUsphere, https://doi.org/10.5194/egusphere-2025-5534, https://doi.org/10.5194/egusphere-2025-5534, 2025
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Groundwater is rapidly being depleted in many regions, threatening water security and food production. We studied a major groundwater depression in northern China to test whether recharging aquifers with diverted river water can help recovery. Using long-term computer simulations, we found that recharge raises water levels and dilutes nitrate pollution, offering an effective way to restore overused aquifers.
Xun Li, Xuan Li, Rusha Yan, Yaqin Gao, Kangjia Gong, Hongli Wang, Momei Qin, Jianlin Hu, and Jingyi Li
EGUsphere, https://doi.org/10.5194/egusphere-2025-4919, https://doi.org/10.5194/egusphere-2025-4919, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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A source-specific emission inventory of oxygenated volatile organic compounds (OVOCs) is implemented in an air quality model to improve OVOC simulations in a heavily polluted region. A substantial fraction of key OVOCs originates from human activities, thereby enhancing hydroperoxyl radical production and contributing to ozone formation. The results highlight the importance of accurately representing OVOC emissions for ozone mitigation.
Baohua Cai, Yuanlong Huang, Wenqing Jiang, Yanchen Li, Yali Li, Jinghao Zhai, Yaling Zeng, Jianhuai Ye, Huizhong Shen, Chen Wang, Lei Zhu, Tzung-May Fu, Qi Zhang, and Xin Yang
EGUsphere, https://doi.org/10.5194/egusphere-2025-5323, https://doi.org/10.5194/egusphere-2025-5323, 2025
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This study reveals a novel Ultraviolet A-driven, metal-free mechanism for aqueous-phase tetravalent sulfur (S(IV)) oxidation that leads to organosulfates formation, addressing a critical knowledge gap in atmospheric sulfur and organic aerosol chemistry and highlighting a previously overlooked photochemical pathway with broad environmental implications.
Jianjiong Mao, Lei Jiang, Zhicheng Feng, Jingyi Li, Yanhong Zhu, Momei Qin, Song Guo, Min Hu, and Jianlin Hu
Geosci. Model Dev., 18, 8423–8438, https://doi.org/10.5194/gmd-18-8423-2025, https://doi.org/10.5194/gmd-18-8423-2025, 2025
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Tiny air particles impact air quality and climate change. Our study improved their prediction in eastern cities by modeling two key formation processes: ions + sulfuric acid + ammonia (daytime) and sulfuric acid + dimethylamine (morning/evening). This improved model increases predictions by 36–84 % in Beijing and Nanjing. These advancements enable better demonstrate how these chemical processes significantly influence China eastern cities' particulate pollution.
Dukun Chen, Weifeng Su, Shaojie Jiang, Honglong Yang, Chunsheng Zhang, Shutong Jiang, Dongyang Chang, Yuxin Liang, Hao Wang, Xin Yang, Tzung-May Fu, Zhenzhong Zeng, Lei Zhu, Huizhong Shen, Chen Wang, and Jianhuai Ye
EGUsphere, https://doi.org/10.5194/egusphere-2025-4752, https://doi.org/10.5194/egusphere-2025-4752, 2025
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This research turns unmanned aerial vehicles (UAVs) into sensitive weather stations by measuring how wind pushes and tilts them in flight. This method accurately gauges wind speed and direction without extra sensors, providing a low-cost way to map complex wind patterns. The findings are vital for improving air quality forecasts, tracking pollution, and ensuring safe drone operations, supporting smarter environmental management.
Jinghao Zhai, Yujie Zhang, Baohua Cai, Yaling Zeng, Jingyi Zhang, Jianhuai Ye, Chen Wang, Tzung-May Fu, Lei Zhu, Huizhong Shen, and Xin Yang
EGUsphere, https://doi.org/10.5194/egusphere-2025-4757, https://doi.org/10.5194/egusphere-2025-4757, 2025
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This work investigates the regulation of aerosol acidity in a coastal megacity under contrasting meteorological regimes. By integrating field observations with thermodynamic modeling, we show that ammonia and aerosol water dominate acidity control under typical conditions, whereas sea-salt cations prevail during typhoons. These findings reveal that extreme weather can alter the governing mechanisms of aerosol acidity, with implications for air quality and climate evaluation.
Hanrui Lang, Yunjiang Zhang, Sheng Zhong, Yongcai Rao, Minfeng Zhou, Jian Qiu, Jingyi Li, Diwen Liu, Florian Couvidat, Olivier Favez, Didier Hauglustaine, and Xinlei Ge
Atmos. Chem. Phys., 25, 10587–10601, https://doi.org/10.5194/acp-25-10587-2025, https://doi.org/10.5194/acp-25-10587-2025, 2025
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This study investigates how dust pollution influences particulate nitrate formation. We found that dust pollution could reduce the effectiveness of ammonia emission controls by altering aerosol chemistry. Using field observations and modeling, we showed that dust particles affect nitrate distribution between gas and particle phases. Our findings highlight the need for pollution control strategies that consider both human emissions and dust sources for better urban air quality management.
Jie Fang, Yunjiang Zhang, Didier Hauglustaine, Bo Zheng, Ming Wang, Jingyi Li, Yong Sun, Haiwei Li, Junfeng Wang, Yun Wu, Mindong Chen, and Xinlei Ge
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Surface ozone pollution is a pressing global challenge driven by human activities and a warming climate. Using nationwide observations (2013–2023) across China together with satellite data, we developed a new machine learning approach to separate the impacts of emission controls and weather changes. Our results show that while emission reductions improved ozone in some regions, climate change is increasingly offsetting these gains, underscoring the need for joint air quality and climate actions.
Yu Li, Momei Qin, Weiwei Hu, Bin Zhao, Ying Li, Havala O. T. Pye, Jingyi Li, Linghan Zeng, Song Guo, Min Hu, and Jianlin Hu
EGUsphere, https://doi.org/10.5194/egusphere-2025-2879, https://doi.org/10.5194/egusphere-2025-2879, 2025
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We evaluated how well a widely used air quality model simulates key properties of organic particles in the atmosphere, such as volatility and oxygen content, which influence how particles age, spread, and affect both air quality and climate. Using observations from eastern China, we found the model underestimated particle mass and misrepresented their chemical makeup. Our results highlight the need for improved emissions and chemical treatments to better predict air quality and climate impacts.
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Polycyclic aromatic hydrocarbons (PAHs), emitted from incomplete combustion, pose serious health risks due to their carcinogenic properties. This research demonstrates that viscous organic aerosol coatings significantly hinder PAH oxidation, with spatial distributions sensitive to the degradation modeling approach. Our findings emphasize the need for accurate modeling of PAH oxidation processes in risk assessments, considering both fresh and oxidized PAHs in evaluating human health risks.
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Atmos. Chem. Phys., 25, 7959–7972, https://doi.org/10.5194/acp-25-7959-2025, https://doi.org/10.5194/acp-25-7959-2025, 2025
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Our study shows that the optical properties of brown carbon depend on its source. Brown carbon from ozone pollution had the weakest light absorption but the strongest wavelength dependence, while biomass burning brown carbon showed the strongest absorption and the weakest wavelength dependence. Nitrogen-containing organic carbon compounds were identified as key light absorbers. These results improve understanding of brown carbon sources and help refine climate models.
Haifeng Yu, Yunhua Chang, Lin Cheng, Yusen Duan, and Jianlin Hu
Atmos. Chem. Phys., 25, 5355–5369, https://doi.org/10.5194/acp-25-5355-2025, https://doi.org/10.5194/acp-25-5355-2025, 2025
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This study presents long-term measurements and comprehensive analysis of carbonaceous aerosols in fine particles in Shanghai. We further estimated primary and secondary carbon levels, examining their temporal variations on interannual, monthly, seasonal, and diurnal scales. Through rigorous statistical analysis and correlation studies with meteorological parameters and pollutant concentrations, the origins, formation mechanisms, and spatial distribution patterns of secondary organic carbon were elucidated.
Bin Luo, Yuqiang Zhang, Tao Tang, Hongliang Zhang, Jianlin Hu, Jiangshan Mu, Wenxing Wang, and Likun Xue
Atmos. Chem. Phys., 25, 4767–4783, https://doi.org/10.5194/acp-25-4767-2025, https://doi.org/10.5194/acp-25-4767-2025, 2025
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India is facing a severe air pollution crisis that poses significant health risks, particularly from PM2.5 and O3. Our study reveals rising levels of both pollutants from 1995 to 2014, leading to increased premature mortality. While anthropogenic emissions play a significant role, biomass burning also impacts air quality, in particular seasons and regions in India. This study underscores the urgent need for localized policies to protect public health amid escalating environmental challenges.
Fei Ye, Jingyi Li, Yaqin Gao, Hongli Wang, Jingyu An, Cheng Huang, Song Guo, Keding Lu, Kangjia Gong, Haowen Zhang, Momei Qin, and Jianlin Hu
Atmos. Chem. Phys., 24, 7467–7479, https://doi.org/10.5194/acp-24-7467-2024, https://doi.org/10.5194/acp-24-7467-2024, 2024
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Naphthalene (Nap) and methylnaphthalene (MN) are key precursors of secondary organic aerosol (SOA), yet their sources and sinks are often inadequately represented in air quality models. In this study, we incorporated detailed emissions, gas-phase chemistry, and SOA parameterization of Nap and MN into CMAQ to address this issue. The findings revealed remarkably high SOA formation potentials for these compounds despite their low emissions in the Yangtze River Delta region during summer.
Shao Shi, Jinghao Zhai, Xin Yang, Yechun Ruan, Yuanlong Huang, Xujian Chen, Antai Zhang, Jianhuai Ye, Guomao Zheng, Baohua Cai, Yaling Zeng, Yixiang Wang, Chunbo Xing, Yujie Zhang, Tzung-May Fu, Lei Zhu, Huizhong Shen, and Chen Wang
Atmos. Chem. Phys., 24, 7001–7012, https://doi.org/10.5194/acp-24-7001-2024, https://doi.org/10.5194/acp-24-7001-2024, 2024
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The determination of ions in the mass spectra of individual particles remains uncertain. We have developed a standard-free mass calibration algorithm applicable to more than 98 % of ambient particles. With our algorithm, ions with ~ 0.05 Th mass difference could be determined. Therefore, many more atmospheric species could be determined and involved in the source apportionment of aerosols, the study of chemical reaction mechanisms, and the analysis of single-particle mixing states.
Yongliang She, Jingyi Li, Xiaopu Lyu, Hai Guo, Momei Qin, Xiaodong Xie, Kangjia Gong, Fei Ye, Jianjiong Mao, Lin Huang, and Jianlin Hu
Atmos. Chem. Phys., 24, 219–233, https://doi.org/10.5194/acp-24-219-2024, https://doi.org/10.5194/acp-24-219-2024, 2024
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In this study, we use multi-site volatile organic compound (VOC) measurements to evaluate the CMAQ-model-predicted VOCs and assess the impacts of VOC bias on O3 simulation. Our results demonstrate that current modeling setups and emission inventories are likely to underpredict VOC concentrations, and this underprediction of VOCs contributes to lower O3 predictions in China.
Xiaodong Xie, Jianlin Hu, Momei Qin, Song Guo, Min Hu, Dongsheng Ji, Hongli Wang, Shengrong Lou, Cheng Huang, Chong Liu, Hongliang Zhang, Qi Ying, Hong Liao, and Yuanhang Zhang
Atmos. Chem. Phys., 23, 10563–10578, https://doi.org/10.5194/acp-23-10563-2023, https://doi.org/10.5194/acp-23-10563-2023, 2023
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The atmospheric age of particles reflects how long particles have been formed and suspended in the atmosphere, which is closely associated with the evolution processes of particles. An analysis of the atmospheric age of PM2.5 provides a unique perspective on the evolution processes of different PM2.5 components. The results also shed lights on how to design effective emission control actions under unfavorable meteorological conditions.
Yiqi Zheng, Larry W. Horowitz, Raymond Menzel, David J. Paynter, Vaishali Naik, Jingyi Li, and Jingqiu Mao
Atmos. Chem. Phys., 23, 8993–9007, https://doi.org/10.5194/acp-23-8993-2023, https://doi.org/10.5194/acp-23-8993-2023, 2023
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Biogenic secondary organic aerosols (SOAs) account for a large fraction of fine aerosol at the global scale. Using long-term measurements and a climate model, we investigate anthropogenic impacts on biogenic SOA at both decadal and centennial timescales. Results show that despite reductions in biogenic precursor emissions, SOA has been strongly amplified by anthropogenic emissions since the preindustrial era and exerts a cooling radiative forcing.
Hejun Hu, Haichao Wang, Keding Lu, Jie Wang, Zelong Zheng, Xuezhen Xu, Tianyu Zhai, Xiaorui Chen, Xiao Lu, Wenxing Fu, Xin Li, Limin Zeng, Min Hu, Yuanhang Zhang, and Shaojia Fan
Atmos. Chem. Phys., 23, 8211–8223, https://doi.org/10.5194/acp-23-8211-2023, https://doi.org/10.5194/acp-23-8211-2023, 2023
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Nitrate radical chemistry is critical to the degradation of volatile organic compounds (VOCs) and secondary organic aerosol formation. This work investigated the level, seasonal variation, and trend of nitrate radical reactivity towards volatile organic compounds (kNO3) in Beijing. We show the key role of isoprene and styrene in regulating seasonal variation in kNO3 and rebuild a long-term record of kNO3 based on the reported VOC measurements.
Lizi Tang, Min Hu, Dongjie Shang, Xin Fang, Jianjiong Mao, Wanyun Xu, Jiacheng Zhou, Weixiong Zhao, Yaru Wang, Chong Zhang, Yingjie Zhang, Jianlin Hu, Limin Zeng, Chunxiang Ye, Song Guo, and Zhijun Wu
Atmos. Chem. Phys., 23, 4343–4359, https://doi.org/10.5194/acp-23-4343-2023, https://doi.org/10.5194/acp-23-4343-2023, 2023
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There was an evident distinction in the frequency of new particle formation (NPF) events at Nam Co station on the Tibetan Plateau: 15 % in pre-monsoon season and 80 % in monsoon season. The frequent NPF events in monsoon season resulted from the higher frequency of southerly air masses, which brought the organic precursors to participate in the NPF process. It increased the amount of aerosol and CCN compared with those in pre-monsoon season, which may markedly affect earth's radiation balance.
Jingyu An, Cheng Huang, Dandan Huang, Momei Qin, Huan Liu, Rusha Yan, Liping Qiao, Min Zhou, Yingjie Li, Shuhui Zhu, Qian Wang, and Hongli Wang
Atmos. Chem. Phys., 23, 323–344, https://doi.org/10.5194/acp-23-323-2023, https://doi.org/10.5194/acp-23-323-2023, 2023
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This paper aims to build up an approach to establish a high-resolution emission inventory of intermediate-volatility and semi-volatile organic compounds in city-scale and detailed source categories and incorporate it into the CMAQ model. We believe this approach can be widely applied to improve the simulation of secondary organic aerosol and its source contributions.
Jinjin Sun, Momei Qin, Xiaodong Xie, Wenxing Fu, Yang Qin, Li Sheng, Lin Li, Jingyi Li, Ishaq Dimeji Sulaymon, Lei Jiang, Lin Huang, Xingna Yu, and Jianlin Hu
Atmos. Chem. Phys., 22, 12629–12646, https://doi.org/10.5194/acp-22-12629-2022, https://doi.org/10.5194/acp-22-12629-2022, 2022
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NO3- has become the dominant and the least reduced chemical component of fine particulate matter in China. NO3- formation is mostly in the NH3-rich regime in the Yangtze River Delta (YRD). OH + NO2 contributes 60 %–83 % of the TNO3 production rates, and the N2O5 heterogeneous pathway contributes 10 %–36 %. The N2O5 heterogeneous pathway becomes more important in cold seasons. Local emissions and regional transportation contribute 50 %–62 % and 38 %–50 % to YRD NO3- concentrations, respectively.
Elyse A. Pennington, Karl M. Seltzer, Benjamin N. Murphy, Momei Qin, John H. Seinfeld, and Havala O. T. Pye
Atmos. Chem. Phys., 21, 18247–18261, https://doi.org/10.5194/acp-21-18247-2021, https://doi.org/10.5194/acp-21-18247-2021, 2021
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Volatile chemical products (VCPs) are commonly used consumer and industrial items that contribute to the formation of atmospheric aerosol. We implemented the emissions and chemistry of VCPs in a regional-scale model and compared predictions with measurements made in Los Angeles. Our results reduced model bias and suggest that VCPs may contribute up to half of anthropogenic secondary organic aerosol in Los Angeles and are an important source of human-influenced particular matter in urban areas.
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.
Meng Gao, Yang Yang, Hong Liao, Bin Zhu, Yuxuan Zhang, Zirui Liu, Xiao Lu, Chen Wang, Qiming Zhou, Yuesi Wang, Qiang Zhang, Gregory R. Carmichael, and Jianlin Hu
Atmos. Chem. Phys., 21, 11405–11421, https://doi.org/10.5194/acp-21-11405-2021, https://doi.org/10.5194/acp-21-11405-2021, 2021
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Light absorption and radiative forcing of black carbon (BC) is influenced by both BC itself and its interactions with other aerosol chemical compositions. In this study, we used the online coupled WRF-Chem model to examine how emission control measures during the Asian-Pacific Economic Cooperation (APEC) conference affect the mixing state and light absorption of BC and the associated implications for BC-PBL interactions.
Bingqing Zhang, Huizhong Shen, Pengfei Liu, Hongyu Guo, Yongtao Hu, Yilin Chen, Shaodong Xie, Ziyan Xi, T. Nash Skipper, and Armistead G. Russell
Atmos. Chem. Phys., 21, 8341–8356, https://doi.org/10.5194/acp-21-8341-2021, https://doi.org/10.5194/acp-21-8341-2021, 2021
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Extended ground-level measurements are coupled with model simulations to comprehensively compare the aerosol acidity in China and the United States. Aerosols in China are significantly less acidic than those in the United States, with pH values 1–2 units higher. Higher aerosol mass concentrations and the abundance of ammonia and ammonium in China, compared to the United States, are leading causes of the pH difference between these two countries.
Yilin Chen, Huizhong Shen, Jennifer Kaiser, Yongtao Hu, Shannon L. Capps, Shunliu Zhao, Amir Hakami, Jhih-Shyang Shih, Gertrude K. Pavur, Matthew D. Turner, Daven K. Henze, Jaroslav Resler, Athanasios Nenes, Sergey L. Napelenok, Jesse O. Bash, Kathleen M. Fahey, Gregory R. Carmichael, Tianfeng Chai, Lieven Clarisse, Pierre-François Coheur, Martin Van Damme, and Armistead G. Russell
Atmos. Chem. Phys., 21, 2067–2082, https://doi.org/10.5194/acp-21-2067-2021, https://doi.org/10.5194/acp-21-2067-2021, 2021
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Ammonia (NH3) emissions can exert adverse impacts on air quality and ecosystem well-being. NH3 emission inventories are viewed as highly uncertain. Here we optimize the NH3 emission estimates in the US using an air quality model and NH3 measurements from the IASI satellite instruments. The optimized NH3 emissions are much higher than the National Emissions Inventory estimates in April. The optimized NH3 emissions improved model performance when evaluated against independent observation.
Cited articles
An, J., Huang, Y., Huang, C., Wang, X., Yan, R., Wang, Q., Wang, H., Jing, S., Zhang, Y., Liu, Y., Chen, Y., Xu, C., Qiao, L., Zhou, M., Zhu, S., Hu, Q., Lu, J., and Chen, C.: Emission inventory of air pollutants and chemical speciation for specific anthropogenic sources based on local measurements in the Yangtze River Delta region, China, Atmos. Chem. Phys., 21, 2003–2025, https://doi.org/10.5194/acp-21-2003-2021, 2021.
Castell, N., Stein, A. F., Mantilla, E., Salvador, R., and Millán, M.:
Evaluation of the use of photochemical indicators to assess
ozone-NOx-VOC sensitivity in the Southwestern Iberian Peninsula, J.
Atmos. Chem., 63, 73–91,
https://doi.org/10.1007/s10874-010-9158-x, 2009.
Chen, X., Jiang, Z., Shen, Y., Li, R., Fu, Y., Liu, J., Han, H., Liao, H.,
Cheng, X., and Jones, D. B.: Chinese regulations are working-why is surface
ozone over industrialized areas still high? Applying lessons from northeast
US air quality evolution, Geophys. Res. Lett., 48, e2021GL092816,
https://doi.org/10.1029/2021GL092816, 2021.
Cohan, D. S., Hakami, A., Hu, Y., and Russell, A. G.: Nonlinear response of
ozone to emissions: Source apportionment and sensitivity analysis, Environ.
Sci. Technol., 39, 6739–6748,
https://doi.org/10.1021/es048664m, 2005.
De Marco, A., Garcia-Gomez, H., Collalti, A., Khaniabadi, Y. O., Feng, Z.,
Proietti, C., Sicard, P., Vitale, M., Anav, A., and Paoletti, E.: Ozone
modelling and mapping for risk assessment: An overview of different
approaches for human and ecosystems health, Environ. Res., 211, 113048,
https://doi.org/10.1016/j.envres.2022.113048, 2022.
Du, X., Tang, W., Cheng, M., Zhang, Z., Li, Y., Li, Y., and Meng, F.:
Modeling of spatial and temporal variations of ozone-NOx-VOC
sensitivity based on photochemical indicators in China, J. Environ. Sci.,
114, 454–464, https://doi.org/10.1016/j.jes.2021.12.026, 2022.
Duncan, B. N., Yoshida, Y., Olson, J. R., Sillman, S., Martin, R. V.,
Lamsal, L., Hu, Y., Pickering, K. E., Retscher, C., and Allen, D. J.:
Application of OMI observations to a space-based indicator of NOx and
VOC controls on surface ozone formation, Atmos. Environ., 44, 2213–2223,
https://doi.org/10.1016/j.atmosenv.2010.03.010, 2010.
Emery, C., Liu, Z., Russell, A. G., Odman, M. T., Yarwood, G., and Kumar,
N.: Recommendations on statistics and benchmarks to assess photochemical
model performance, J. Air Waste Manage., 67, 582–598,
https://doi.org/10.1080/10962247.2016.1265027, 2017.
Feng, Z., Xu, Y., Kobayashi, K., Dai, L., Zhang, T., Agathokleous, E.,
Calatayud, V., Paoletti, E., Mukherjee, A., Agrawal, M., Park, R. J., Oak,
Y. J., and Yue, X.: Ozone pollution threatens the production of major staple
crops in East Asia, Nature Food, 3, 47–56,
https://doi.org/10.1038/s43016-021-00422-6, 2022.
Gao, W., Tie, X., Xu, J., Huang, R., Mao, X., Zhou, G., and Chang, L.:
Long-term trend of O3 in a mega City (Shanghai), China:
Characteristics, causes, and interactions with precursors, Sci. Total
Environ., 603–604, 425–433,
https://doi.org/10.1016/j.scitotenv.2017.06.099, 2017.
Gipson, G. L. and Young, J.: Process analysis, Science Algorithms of the EPA Models-3 Community Multiscale Air Quality
(CMAQ) Modeling System, government document, US Environmental Protection Agency, Washington DC, 1999.
Hu, J., Chen, J., Ying, Q., and Zhang, H.: One-year simulation of ozone and particulate matter in China using WRF/CMAQ modeling system, Atmos. Chem. Phys., 16, 10333–10350, https://doi.org/10.5194/acp-16-10333-2016, 2016.
Jiménez, P. and Baldasano, J. M.: Ozone response to precursor controls
in very complex terrains: Use of photochemical indicators to assess
O3-NOx-VOC sensitivity in the northeastern Iberian Peninsula, J.
Geophys. Res.-Atmos., 109, D20309,
https://doi.org/10.1029/2004JD004985, 2004.
Jin, X. and Holloway, T.: Spatial and temporal variability of ozone
sensitivity over China observed from the Ozone Monitoring Instrument, J.
Geophys. Res.-Atmos., 120, 7229–7246,
https://doi.org/10.1002/2015JD023250, 2015.
Jin, X., Fiore, A. M., Murray, L. T., Valin, L. C., Lamsal, L. N., Duncan,
B., Folkert Boersma, K., De Smedt, I., Abad, G. G., and Chance, K.:
Evaluating a space-based indicator of surface ozone-NOx-VOC
sensitivity over midlatitude source regions and application to decadal
trends, J. Geophys. Res.-Atmos., 122, 10439–10461,
https://doi.org/10.1002/2017JD026720, 2017.
Kwok, R. H. F., Baker, K. R., Napelenok, S. L., and Tonnesen, G. S.: Photochemical grid model implementation and application of VOC, NOx, and O3 source apportionment, Geosci. Model Dev., 8, 99–114, https://doi.org/10.5194/gmd-8-99-2015, 2015.
Li, K., Jacob, D. J., Shen, L., Lu, X., De Smedt, I., and Liao, H.: Increases in surface ozone pollution in China from 2013 to 2019: anthropogenic and meteorological influences, Atmos. Chem. Phys., 20, 11423–11433, https://doi.org/10.5194/acp-20-11423-2020, 2020.
Li, L., Hu, J., Li, J., Gong, K., Wang, X., Ying, Q., Qin, M., Liao, H.,
Guo, S., Hu, M., and Zhang, Y.: Modelling air quality during the EXPLORE-YRD
campaign – Part II. Regional source apportionment of ozone and PM2.5,
Atmos. Environ., 247, 118063,
https://doi.org/10.1016/j.atmosenv.2020.118063, 2021.
Liang, J., Jackson, B., and Kaduwela, A.: Evaluation of the ability of
indicator species ratios to determine the sensitivity of ozone to reductions
in emissions of volatile organic compounds and oxides of nitrogen in
northern California, Atmos. Environ., 40, 5156–5166,
https://doi.org/10.1016/j.atmosenv.2006.03.060, 2006.
Liang, S., Li, X., Teng, Y., Fu, H., Chen, L., Mao, J., Zhang, H., Gao, S.,
Sun, Y., Ma, Z., and Azzi, M.: Estimation of health and economic benefits
based on ozone exposure level with high spatial-temporal resolution by
fusing satellite and station observations, Environ. Pollut., 255, 113267,
https://doi.org/10.1016/j.envpol.2019.113267, 2019.
Liu, H., Wang, X. M., Pang, J. M., and He, K. B.: Feasibility and difficulties of China's new air quality standard compliance: PRD case of PM2.5 and ozone from 2010 to 2025, Atmos. Chem. Phys., 13, 12013–12027, https://doi.org/10.5194/acp-13-12013-2013, 2013.
Liu, J., Li, X., Tan, Z., Wang, W., Yang, Y., Zhu, Y., Yang, S., Song, M.,
Chen, S., Wang, H., Lu, K., Zeng, L., and Zhang, Y.: Assessing the ratios of
formaldehyde and glyoxal to NO2 as Indicators of O3–NOx–VOC
sensitivity, Environ. Sci. Technol., 55, 10935–10945,
https://doi.org/10.1021/acs.est.0c07506, 2021.
Liu, X., Zhang, Y., Xing, J., Zhang, Q., Wang, K., Streets, D. G., Jang, C.,
Wang, W., and Hao, J.: Understanding of regional air pollution over China
using CMAQ, part II. Process analysis and sensitivity of ozone and
particulate matter to precursor emissions, Atmos. Environ., 44,
3719–3727, https://doi.org/10.1016/j.atmosenv.2010.03.036,
2010a.
Liu, X., Zhang, Y., Xing, J., Zhang, Q., Wang, K., Streets, D. G., Jang, C.,
Wang, W., and Hao, J.: Understanding of regional air pollution over China
using CMAQ, part II. Process analysis and sensitivity of ozone and
particulate matter to precursor emissions, Atmos. Environ., 44, 3719–3727,
https://doi.org/10.1016/j.atmosenv.2010.03.036, 2010b.
Lu, C. H. and Chang, J. S.: On the indicator-based approach to assess ozone
sensitivities and emissions features, J. Geophys. Res.-Atmos., 103,
3453–3462, https://doi.org/10.1029/97JD03128, 1998.
Lu, X., Hong, J., Zhang, L., Cooper, O. R., Schultz, M. G., Xu, X., Wang,
T., Gao, M., Zhao, Y., and Zhang, Y.: Severe surface ozone pollution in
China: A global perspective, Environ. Sci. Technol. Let., 5, 487–494,
https://doi.org/10.1021/acs.estlett.8b00366, 2018.
Lu, X., Zhang, L., Wang, X., Gao, M., Li, K., Zhang, Y., Yue, X., and Zhang,
Y.: Rapid increases in warm-season surface ozone and resulting health impact
in China since 2013, Environ. Sci. Technol. Let., 7, 240–247,
https://doi.org/10.1021/acs.estlett.0c00171, 2020.
Ma, M., Yao, G., Guo, J., and Bai, K.: Distinct spatiotemporal variation
patterns of surface ozone in China due to diverse influential factors, J.
Environ. Manage., 288, 112368,
https://doi.org/10.1016/j.jenvman.2021.112368, 2021.
Martin, R. V., Fiore, A. M., and Van Donkelaar, A.: Space-based diagnosis of
surface ozone sensitivity to anthropogenic emissions, Geophys. Res. Lett.,
31, L06120, https://doi.org/10.1029/2004GL019416, 2004.
Murphy, J. G., Day, D. A., Cleary, P. A., Wooldridge, P. J., Millet, D. B., Goldstein, A. H., and Cohen, R. C.: The weekend effect within and downwind of Sacramento – Part 1: Observations of ozone, nitrogen oxides, and VOC reactivity, Atmos. Chem. Phys., 7, 5327–5339, https://doi.org/10.5194/acp-7-5327-2007, 2007.
Peng, Y.-P., Chen, K.-S., Wang, H.-K., Lai, C.-H., Lin, M.-H., and Lee,
C.-H.: Applying model simulation and photochemical indicators to evaluate
ozone sensitivity in southern Taiwan, J. Environ. Sci., 23, 790–797,
https://doi.org/10.1016/s1001-0742(10)60479-2, 2011.
Qin, Y., Li, J., Gong, K., Wu, Z., Chen, M., Qin, M., Huang, L., and Hu, J.:
Double high pollution events in the Yangtze River Delta from 2015 to 2019:
Characteristics, trends, and meteorological situations, Sci. Total Environ.,
792, 148349, https://doi.org/10.1016/j.scitotenv.2021.148349,
2021.
Shen, H., Sun, Z., Chen, Y., Russell, A. G., Hu, Y., Odman, M. T., Qian, Y.,
Archibald, A. T., and Tao, S.: Novel method for ozone isopleth construction
and diagnosis for the ozone control strategy of Chinese cities, Environ.
Sci. Technol., 55, 15625–15636,
https://doi.org/10.1021/acs.est.1c01567, 2021.
Sheng, L., Qin, M., Li, L., Wang, C., Gong, K., Liu, T., Li, J., and Hu, J.:
Impacts of emissions along the lower Yangtze River on air quality and public
health in the Yangtze River delta, China, Atmos. Pollut. Res., 13, 101420,
https://doi.org/10.1016/j.apr.2022.101420, 2022.
Sillman, S.: The use of NOy, H2O2, and HNO3 as
indicators for ozone-NOx-hydrocarbon sensitivity in urban locations, J.
Geophys. Res., 100, 14175–14188,
https://doi.org/10.1029/94JD02953, 1995.
Sillman, S.: The relation between ozone, NOx and hydrocarbons in urban
and polluted rural environments, Atmos. Environ., 33, 1821–1845,
https://doi.org/10.1016/S1352-2310(98)00345-8, 1999.
Sillman, S.: Some theoretical results concerning O3-NOx-VOC
chemistry and NOx-VOC indicators, J. Geophys. Res., 107, 4659,
https://doi.org/10.1029/2001jd001123, 2002.
Sillman, S., He, D., Pippin, M. R., Daum, P. H., Imre, D. G., Kleinman, L.
I., Lee, J. H., and Weinstein-Lloyd, J.: Model correlations for ozone,
reactive nitrogen, and peroxides for Nashville in comparison with
measurements: Implications for O3-NOx-hydrocarbon chemistry, J.
Geophys. Res.-Atmos., 103, 22629–22644,
https://doi.org/10.1029/98JD00349, 1998.
Skeie, R. B., Myhre, G., Hodnebrog, Ø., Cameron-Smith, P. J., Deushi, M.,
Hegglin, M. I., Horowitz, L. W., Kramer, R. J., Michou, M., Mills, M. J.,
Olivié, D. J. L., Connor, F. M. O., Paynter, D., Samset, B. H., Sellar,
A., Shindell, D., Takemura, T., Tilmes, S., and Wu, T.: Historical total
ozone radiative forcing derived from CMIP6 simulations, npj Clim. Atmos.
Sci., 3, 32, https://doi.org/10.1038/s41612-020-00131-0, 2020.
Sun, J., Qin, M., Xie, X., Fu, W., Qin, Y., Sheng, L., Li, L., Li, J., Sulaymon, I. D., Jiang, L., Huang, L., Yu, X., and Hu, J.: Seasonal modeling analysis of nitrate formation pathways in Yangtze River Delta region, China, Atmos. Chem. Phys., 22, 12629–12646, https://doi.org/10.5194/acp-22-12629-2022, 2022.
Tan, Z., Lu, K., Jiang, M., Su, R., Dong, H., Zeng, L., Xie, S., Tan, Q.,
and Zhang, Y.: Exploring ozone pollution in Chengdu, southwestern China: A
case study from radical chemistry to O3-VOC-NOx sensitivity, Sci.
Total Environ., 636, 775–786,
https://doi.org/10.1016/j.scitotenv.2018.04.286, 2018.
Tang, G., Wang, Y., Li, X., Ji, D., Hsu, S., and Gao, X.: Spatial-temporal variations in surface ozone in Northern China as observed during 2009–2010 and possible implications for future air quality control strategies, Atmos. Chem. Phys., 12, 2757–2776, https://doi.org/10.5194/acp-12-2757-2012, 2012.
Tonnesen, G. S. and Dennis, R. L.: Analysis of radical propagation
efficiency to assess ozone sensitivity to hydrocarbons and NOx: 1.
Local indicators of instantaneous odd oxygen production sensitivity, J.
Geophys. Res.-Atmos., 105, 9213–9225,
https://doi.org/10.1029/1999JD900371, 2000a.
Tonnesen, G. S. and Dennis, R. L.: Analysis of radical propagation
efficiency to assess ozone sensitivity to hydrocarbons and NOx: 2.
Long-lived species as indicators of ozone concentration sensitivity, J.
Geophys. Res.-Atmos., 105, 9227–9241,
https://doi.org/10.1029/1999JD900372, 2000b.
Torres-Jardon, R., García-Reynoso, J. A., Jazcilevich, A.,
Ruiz-Suárez, L. G., and Keener, T. C.: Assessment of the ozone-nitrogen
oxide-volatile organic compound sensitivity of Mexico City through an
indicator-based approach: measurements and numerical simulations comparison,
J. Air Waste Manage., 59, 1155–1172,
https://doi.org/10.3155/1047-3289.59.10.1155, 2009.
Vogel, B., Riemer, N., Vogel, H., and Fiedler, F.: Findings on NOy as
an indicator for ozone sensitivity based on different numerical simulations,
J. Geophys. Res.-Atmos., 104, 3605–3620, https://doi.org/10.1029/1998JD100075, 1999.
Wang, M., Chen, W., Zhang, L., Qin, W., Zhang, Y., Zhang, X., and Xie, X.:
Ozone pollution characteristics and sensitivity analysis using an
observation-based model in Nanjing, Yangtze River Delta Region of China, J.
Environ. Sci., 93, 13–22,
https://doi.org/10.1016/j.jes.2020.02.027, 2020.
Wang, N., Xu, J., Pei, C., Tang, R., Zhou, D., Chen, Y., Li, M., Deng, X.,
Deng, T., Huang, X., and Ding, A.: Air quality during COVID-19 lockdown in
the Yangtze River Delta and the Pearl River Delta: Two different responsive
mechanisms to emission reductions in China, Environ. Sci. Technol., 55,
5721–5730, https://doi.org/10.1021/acs.est.0c08383, 2021.
Wang, P., Guo, H., Hu, J., Kota, S. H., Ying, Q., and Zhang, H.: Responses
of PM2.5 and O3 concentrations to changes of meteorology and
emissions in China, Sci. Total Environ., 662, 297–306,
https://doi.org/10.1016/j.scitotenv.2019.01.227, 2019.
Wang, X., Zhang, Y., Hu, Y., Zhou, W., Zeng, L., Hu, M., Cohan, D. S., and
Russell, A. G.: Decoupled direct sensitivity analysis of regional ozone
pollution over the Pearl River Delta during the PRIDE-PRD2004 campaign,
Atmos. Environ., 45, 4941–4949,
https://doi.org/10.1016/j.atmosenv.2011.06.006, 2011.
Wang, Y., Wild, O., Chen, X., Wu, Q., Gao, M., Chen, H., Qi, Y., and Wang,
Z.: Health impacts of long-term ozone exposure in China over 2013–2017,
Environ. Int., 144, 106030,
https://doi.org/10.1016/j.envint.2020.106030, 2020.
Xie, M., Zhu, K., Wang, T., Yang, H., Zhuang, B., Li, S., Li, M., Zhu, X.,
and Ouyang, Y.: Application of photochemical indicators to evaluate ozone
nonlinear chemistry and pollution control countermeasure in China, Atmos.
Environ., 99, 466–473,
https://doi.org/10.1016/j.atmosenv.2014.10.013, 2014.
Xu, J., Huang, X., Wang, N., Li, Y., and Ding, A.: Understanding ozone
pollution in the Yangtze River Delta of eastern China from the perspective
of diurnal cycles, Sci. Total Environ., 752, 141928,
https://doi.org/10.1016/j.scitotenv.2020.141928, 2021.
Ye, C., Xue, C., Zhang, C., Ma, Z., Liu, P., Zhang, Y., Liu, C., Zhao, X.,
Zhang, W., and He, X.: Atmospheric hydrogen peroxide (H2O2) at the
foot and summit of Mt. Tai: variations, sources and sinks, and implications
for ozone formation chemistry, J. Geophys. Res.-Atmos., 126, e2020JD033975,
https://doi.org/10.1029/2020JD033975, 2021.
Ye, L., Wang, X., Fan, S., Chen, W., Chang, M., Zhou, S., Wu, Z., and Fan,
Q.: Photochemical indicators of ozone sensitivity: application in the Pearl
River Delta, China, Front. Env. Sci. Eng., 10, 1–14,
https://doi.org/10.1007/s11783-016-0887-1, 2016.
Zhang, Y., Zhao, Y., Li, J., Wu, Q., Wang, H., Du, H., Yang, W., Wang, Z.,
and Zhu, L.: Modeling ozone source apportionment and performing sensitivity
analysis in summer on the North China Plain, Atmosphere, 11, 992–1011,
https://doi.org/10.3390/atmos11090992, 2020.
Short summary
Photochemical indicators have been widely used to predict O3–NOx–VOC sensitivity with given thresholds. Here we assessed the effectiveness of four indicators with a case study in the Yangtze River Delta, China. The overall performance was good, while some indicators showed inconsistencies with the O3 isopleths. The methodology used to determine the thresholds may produce uncertainties. These results would improve our understanding of the use of photochemical indicators in policy implications.
Photochemical indicators have been widely used to predict O3–NOx–VOC sensitivity with given...
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