Articles | Volume 23, issue 4
https://doi.org/10.5194/acp-23-2877-2023
© 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-23-2877-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Measurement report: Volatile organic compound characteristics of the different land-use types in Shanghai: spatiotemporal variation, source apportionment and impact on secondary formations of ozone and aerosol
Yu Han
Shanghai Key Laboratory of Atmospheric Particle Pollution and
Prevention, Department of Environmental Science & Engineering, Fudan
University, Shanghai, 200433, PR China
Tao Wang
Shanghai Key Laboratory of Atmospheric Particle Pollution and
Prevention, Department of Environmental Science & Engineering, Fudan
University, Shanghai, 200433, PR China
Rui Li
Key Laboratory of Geographic
Information Science of the Ministry of Education, School of 6 Geographic
Sciences, East China Normal University, Shanghai, 200241, PR China
Hongbo Fu
CORRESPONDING AUTHOR
Shanghai Key Laboratory of Atmospheric Particle Pollution and
Prevention, Department of Environmental Science & Engineering, Fudan
University, Shanghai, 200433, PR China
Collaborative Innovation Center of Atmospheric Environment and
Equipment Technology (CICAEET), Nanjing University of Information Science
and Technology, Nanjing, 210044, PR China
Institute of Eco-Chongming
(SIEC), 20 Cuiniao Road, Chenjia Town, Chongming District, Shanghai, 202162, PR China
Yusen Duan
Shanghai Environmental Monitoring Center, National
Environmental Protection Shanghai Dianshan Lake Science Observatory Research
Station, Shanghai, 200235, PR China
Song Gao
Shanghai Environmental Monitoring Center, National
Environmental Protection Shanghai Dianshan Lake Science Observatory Research
Station, Shanghai, 200235, PR China
School of Environmental and Chemical
Engineering, Shanghai University, Shanghai, 200444, PR China
Liwu Zhang
Shanghai Key Laboratory of Atmospheric Particle Pollution and
Prevention, Department of Environmental Science & Engineering, Fudan
University, Shanghai, 200433, PR China
Jianmin Chen
Shanghai Key Laboratory of Atmospheric Particle Pollution and
Prevention, Department of Environmental Science & Engineering, Fudan
University, Shanghai, 200433, PR China
Collaborative Innovation Center of Atmospheric Environment and
Equipment Technology (CICAEET), Nanjing University of Information Science
and Technology, Nanjing, 210044, PR China
Related authors
No articles found.
Zheng Li, Gehui Wang, Binyu Xiao, Rongjie Li, Can Wu, Shaojun Lv, Feng Wu, Qingyan Fu, and Yusen Duan
EGUsphere, https://doi.org/10.5194/egusphere-2025-654, https://doi.org/10.5194/egusphere-2025-654, 2025
Short summary
Short summary
Gas-to-aerosol partitioning of organics were investigated in Shanghai during 2023 dust storm period. We found the partitioning coefficients (Fp) of WSOCs in DS were comparable to those during a haze episode (HE), and aerosol liquid water content primarily drove Fp variation in HE, while pH was the dominant factor in DS. Moreover, an enhanced light absorption of Asian dust by brown carbon, mainly in coarse mode, formation was revealed.
Qianqian Gao, Guochao Chen, Xiaohui Lu, Jianmin Chen, Hongliang Zhang, and Xiaofei Wang
EGUsphere, https://doi.org/10.5194/egusphere-2025-596, https://doi.org/10.5194/egusphere-2025-596, 2025
Short summary
Short summary
Numerous lakes are shrinking due to climate change and human activities, releasing pollutants from dried lakebeds as dust aerosols. The health risks remain unclear. Recently, Poyang and Dongting Lakes faced record droughts, exposing 99 % and 88 % of their areas. We show lakebed dust can raise PM10 to 637.5 μg/m³ and exceed non-carcinogenic (HQ=4.13) and Cr carcinogenic (~2.10×10⁻⁶) risk thresholds, posing growing health threats.
Qun He, Zhaowen Wang, Houfeng Liu, Pengju Xu, Rongbao Duan, Caihong Xu, Jianmin Chen, and Min Wei
Atmos. Chem. Phys., 24, 12775–12792, https://doi.org/10.5194/acp-24-12775-2024, https://doi.org/10.5194/acp-24-12775-2024, 2024
Short summary
Short summary
Coastal environments provide an ideal setting for investigating the intermixing of terrestrial and marine aerosols. Terrestrial air mass constituted a larger number of microbes from anthropogenic and soil emissions, whereas saprophytic and gut microbes were predominant in marine samples. Mixed air masses indicated a fusion of marine and terrestrial aerosols, characterized by alterations in the ratio of pathogenic and saprophytic microbes when compared to either terrestrial or marine samples.
Xiaoyi Zhang, Wanyun Xu, Weili Lin, Gen Zhang, Jinjian Geng, Li Zhou, Huarong Zhao, Sanxue Ren, Guangsheng Zhou, Jianmin Chen, and Xiaobin Xu
Atmos. Chem. Phys., 24, 12323–12340, https://doi.org/10.5194/acp-24-12323-2024, https://doi.org/10.5194/acp-24-12323-2024, 2024
Short summary
Short summary
Ozone (O3) deposition is a key process that removes surface O3, affecting air quality, ecosystems and climate change. We conducted O3 deposition measurement over a wheat canopy using a newly relaxed eddy accumulation flux system. Large variabilities in O3 deposition were detected, mainly determined by crop growth and modulated by various environmental factors. More O3 deposition observations over different surfaces are needed for exploring deposition mechanisms and model optimization.
Qiongqiong Wang, Shuhui Zhu, Shan Wang, Cheng Huang, Yusen Duan, and Jian Zhen Yu
Atmos. Chem. Phys., 24, 475–486, https://doi.org/10.5194/acp-24-475-2024, https://doi.org/10.5194/acp-24-475-2024, 2024
Short summary
Short summary
We investigated short-term source apportionment of PM2.5 utilizing rolling positive matrix factorization (PMF) and online PM chemical speciation data, which included source-specific organic tracers collected over a period of 37 d during the winter of 2019–2020 in suburban Shanghai, China. The findings highlight that by imposing constraints on the primary source profiles, short-term PMF analysis successfully replicated both the individual primary sources and the total secondary sources.
Jianping Guo, Jian Zhang, Jia Shao, Tianmeng Chen, Kaixu Bai, Yuping Sun, Ning Li, Jingyan Wu, Rui Li, Jian Li, Qiyun Guo, Jason B. Cohen, Panmao Zhai, Xiaofeng Xu, and Fei Hu
Earth Syst. Sci. Data, 16, 1–14, https://doi.org/10.5194/essd-16-1-2024, https://doi.org/10.5194/essd-16-1-2024, 2024
Short summary
Short summary
A global continental merged high-resolution (PBLH) dataset with good accuracy compared to radiosonde is generated via machine learning algorithms, covering the period from 2011 to 2021 with 3-hour and 0.25º resolution in space and time. The machine learning model takes parameters derived from the ERA5 reanalysis and GLDAS product as input, with PBLH biases between radiosonde and ERA5 as the learning targets. The merged PBLH is the sum of the predicted PBLH bias and the PBLH from ERA5.
Song Gao, Yong Yang, Xiao Tong, Linyuan Zhang, Yusen Duan, Guigang Tang, Qiang Wang, Changqing Lin, Qingyan Fu, Lipeng Liu, and Lingning Meng
Atmos. Meas. Tech., 16, 5709–5723, https://doi.org/10.5194/amt-16-5709-2023, https://doi.org/10.5194/amt-16-5709-2023, 2023
Short summary
Short summary
We optimized and conducted an experimental program for the real-time monitoring of non-methane hydrocarbon instruments using the direct method. Changing the enrichment and specially designed columns further improved the test effect. The results correct the measurement errors that have prevailed for many years and can lay a foundation for the evaluation of volatile organic compounds in the regional ambient air and provide direction for the measurement of low-concentration ambient air pollutants.
Da Lu, Hao Li, Mengke Tian, Guochen Wang, Xiaofei Qin, Na Zhao, Juntao Huo, Fan Yang, Yanfen Lin, Jia Chen, Qingyan Fu, Yusen Duan, Xinyi Dong, Congrui Deng, Sabur F. Abdullaev, and Kan Huang
Atmos. Chem. Phys., 23, 13853–13868, https://doi.org/10.5194/acp-23-13853-2023, https://doi.org/10.5194/acp-23-13853-2023, 2023
Short summary
Short summary
Environmental conditions during dust are usually not favorable for secondary aerosol formation. However in this study, an unusual dust event was captured in a Chinese mega-city and showed “anomalous” meteorology and a special dust backflow transport pathway. The underlying formation mechanisms of secondary aerosols are probed in the context of this special dust event. This study shows significant implications for the varying dust aerosol chemistry in the future changing climate.
Ting Yang, Yu Xu, Qing Ye, Yi-Jia Ma, Yu-Chen Wang, Jian-Zhen Yu, Yu-Sen Duan, Chen-Xi Li, Hong-Wei Xiao, Zi-Yue Li, Yue Zhao, and Hua-Yun Xiao
Atmos. Chem. Phys., 23, 13433–13450, https://doi.org/10.5194/acp-23-13433-2023, https://doi.org/10.5194/acp-23-13433-2023, 2023
Short summary
Short summary
In this study, 130 OS species were quantified in ambient fine particulate matter (PM2.5) collected in urban and suburban Shanghai (East China) in the summer of 2021. The daytime OS formation was concretized based on the interactions among OSs, ultraviolet (UV), ozone (O3), and sulfate. Our finding provides field evidence for the influence of photochemical process and anthropogenic sulfate on OS formation and has important implications for the mitigation of organic particulate pollution.
Qianqian Gao, Shengqiang Zhu, Kaili Zhou, Jinghao Zhai, Shaodong Chen, Qihuang Wang, Shurong Wang, Jin Han, Xiaohui Lu, Hong Chen, Liwu Zhang, Lin Wang, Zimeng Wang, Xin Yang, Qi Ying, Hongliang Zhang, Jianmin Chen, and Xiaofei Wang
Atmos. Chem. Phys., 23, 13049–13060, https://doi.org/10.5194/acp-23-13049-2023, https://doi.org/10.5194/acp-23-13049-2023, 2023
Short summary
Short summary
Dust is a major source of atmospheric aerosols. Its chemical composition is often assumed to be similar to the parent soil. However, this assumption has not been rigorously verified. Dust aerosols are mainly generated by wind erosion, which may have some chemical selectivity. Mn, Cd and Pb were found to be highly enriched in fine-dust (PM2.5) aerosols. In addition, estimation of heavy metal emissions from dust generation by air quality models may have errors without using proper dust profiles.
Meng Wang, Yusen Duan, Zhuozhi Zhang, Qi Yuan, Xinwei Li, Shuwen Han, Juntao Huo, Jia Chen, Yanfen Lin, Qingyan Fu, Tao Wang, Junji Cao, and Shun-cheng Lee
Atmos. Chem. Phys., 23, 10313–10324, https://doi.org/10.5194/acp-23-10313-2023, https://doi.org/10.5194/acp-23-10313-2023, 2023
Short summary
Short summary
Hourly elemental carbon (EC) and NOx were continuously measured for 5 years (2016–2020) at a sampling site near a highway in western Shanghai. We use a machine learning model to rebuild the measured EC and NOx, and a business-as-usual (BAU) scenario was assumed in 2020 and compared with the measured EC and NOx.
Jianyan Lu, Sunling Gong, Jian Zhang, Jianmin Chen, Lei Zhang, and Chunhong Zhou
Atmos. Chem. Phys., 23, 8021–8037, https://doi.org/10.5194/acp-23-8021-2023, https://doi.org/10.5194/acp-23-8021-2023, 2023
Short summary
Short summary
WRF/CUACE was used to assess the cloud chemistry contribution in China. Firstly, the CUACE cloud chemistry scheme was found to reproduce well the cloud processing and consumption of H2O2, O3, and SO2, as well as the increase of sulfate. Secondly, during cloud availability in December under a heavy pollution episode, sulfate production increased 60–95 % and SO2 was reduced by over 80 %. This study provides a way to analyze the phenomenon of overestimation of SO2 in many chemical transport models.
Hannah J. Rubin, Joshua S. Fu, Frank Dentener, Rui Li, Kan Huang, and Hongbo Fu
Atmos. Chem. Phys., 23, 7091–7102, https://doi.org/10.5194/acp-23-7091-2023, https://doi.org/10.5194/acp-23-7091-2023, 2023
Short summary
Short summary
We update the 2010 global deposition budget for nitrogen (N) and sulfur (S) with new regional wet deposition measurements, improving the ensemble results of 11 global chemistry transport models from HTAP II. Our study demonstrates that a global measurement–model fusion approach can substantially improve N and S deposition model estimates at a regional scale and represents a step forward toward the WMO goal of global fusion products for accurately mapping harmful air pollution.
Jinlong Ma, Shengqiang Zhu, Siyu Wang, Peng Wang, Jianmin Chen, and Hongliang Zhang
Atmos. Chem. Phys., 23, 4311–4325, https://doi.org/10.5194/acp-23-4311-2023, https://doi.org/10.5194/acp-23-4311-2023, 2023
Short summary
Short summary
An updated version of the CMAQ model with biogenic volatile organic compound (BVOC) emissions from MEGAN was applied to study the impacts of different land cover inputs on O3 and secondary organic aerosol (SOA) in China. The estimated BVOC emissions ranged from 25.42 to 37.39 Tg using different leaf area index (LAI) and land cover (LC) inputs. Those differences further induced differences of 4.8–6.9 ppb in O3 concentrations and differences of 5.3–8.4 µg m−3 in SOA concentrations in China.
Yiqun Lu, Yingge Ma, Dan Dan Huang, Shengrong Lou, Sheng'ao Jing, Yaqin Gao, Hongli Wang, Yanjun Zhang, Hui Chen, Yunhua Chang, Naiqiang Yan, Jianmin Chen, Christian George, Matthieu Riva, and Cheng Huang
Atmos. Chem. Phys., 23, 3233–3245, https://doi.org/10.5194/acp-23-3233-2023, https://doi.org/10.5194/acp-23-3233-2023, 2023
Short summary
Short summary
N-containing oxygenated organic molecules have been identified as important precursors of aerosol particles. We used an ultra-high-resolution mass spectrometer coupled with an online sample inlet to accurately measure their molecular composition, concentration level and variation patterns. We show their formation process and influencing factors in a Chinese megacity involving various volatile organic compound precursors and atmospheric oxidants, and we highlight the influence of PM2.5 episodes.
Xiaofei Qin, Shengqian Zhou, Hao Li, Guochen Wang, Cheng Chen, Chengfeng Liu, Xiaohao Wang, Juntao Huo, Yanfen Lin, Jia Chen, Qingyan Fu, Yusen Duan, Kan Huang, and Congrui Deng
Atmos. Chem. Phys., 22, 15851–15865, https://doi.org/10.5194/acp-22-15851-2022, https://doi.org/10.5194/acp-22-15851-2022, 2022
Short summary
Short summary
Using artificial neural network modeling and an explainable analysis approach, natural surface emissions (NSEs) were identified as a main driver of gaseous elemental mercury (GEM) variations during the COVID-19 lockdown. A sharp drop in GEM concentrations due to a significant reduction in anthropogenic emissions may disrupt the surface–air exchange balance of Hg, leading to increases in NSEs. This implies that NSEs may pose challenges to the future control of Hg pollution.
Jian-yan Lu, Sunling Gong, Chun-hong Zhou, Jian Zhang, Jian-min Chen, and Lei Zhang
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2022-716, https://doi.org/10.5194/acp-2022-716, 2022
Revised manuscript not accepted
Short summary
Short summary
A regional online chemical weather model WRF/ CUACE was used to assess the contributions of cloud chemistry to the SO2 and sulfate levels in typical regions in China. The cloud chemistry scheme in CUACE was evaluated, and well reproduces the cloud chemistry processes. During cloud availability in a heavy pollution episode, the sulfate production increases 40–80 % and SO2 reduces over 80 %. This study provides a way to analyze the over-estimate phenomenon of SO2 in many chemical transport models.
Tao Wang, Yangyang Liu, Hanyun Cheng, Zhenzhen Wang, Hongbo Fu, Jianmin Chen, and Liwu Zhang
Atmos. Chem. Phys., 22, 13467–13493, https://doi.org/10.5194/acp-22-13467-2022, https://doi.org/10.5194/acp-22-13467-2022, 2022
Short summary
Short summary
This study compared the gas-phase, aqueous-phase, and heterogeneous SO2 oxidation pathways by combining laboratory work with a modelling study. The heterogeneous oxidation, particularly that induced by the dust surface drivers, presents positive implications for the removal of airborne SO2 and formation of sulfate aerosols. This work highlighted the atmospheric significance of heterogeneous oxidation and suggested a comparison model to evaluate the following heterogeneous laboratory research.
Meng Wang, Yusen Duan, Wei Xu, Qiyuan Wang, Zhuozhi Zhang, Qi Yuan, Xinwei Li, Shuwen Han, Haijie Tong, Juntao Huo, Jia Chen, Shan Gao, Zhongbiao Wu, Long Cui, Yu Huang, Guangli Xiu, Junji Cao, Qingyan Fu, and Shun-cheng Lee
Atmos. Chem. Phys., 22, 12789–12802, https://doi.org/10.5194/acp-22-12789-2022, https://doi.org/10.5194/acp-22-12789-2022, 2022
Short summary
Short summary
In this study, we report the long-term measurement of organic carbon (OC) and elementary carbon (EC) in PM2.5 with hourly time resolution conducted at a regional site in Shanghai from 2016 to 2020. The results from this study provide critical information about the long-term trend of carbonaceous aerosol, in particular secondary OC, in one of the largest megacities in the world and are helpful for developing pollution control measures from a long-term planning perspective.
Yangyang Liu, Yue Deng, Jiarong Liu, Xiaozhong Fang, Tao Wang, Kejian Li, Kedong Gong, Aziz U. Bacha, Iqra Nabi, Qiuyue Ge, Xiuhui Zhang, Christian George, and Liwu Zhang
Atmos. Chem. Phys., 22, 9175–9197, https://doi.org/10.5194/acp-22-9175-2022, https://doi.org/10.5194/acp-22-9175-2022, 2022
Short summary
Short summary
Both CO2 and carbonate salt work as the precursor of carbonate radicals, which largely promotes sulfate formation during the daytime. This study provides the first indication that the carbonate radical not only plays a role as an intermediate in tropospheric anion chemistry but also as a strong oxidant for the surface processing of trace gas in the atmosphere. CO2, carbponate radicals, and sulfate receive attention from those looking at the environment, atmosphere, aerosol, and photochemistry.
Han Zang, Yue Zhao, Juntao Huo, Qianbiao Zhao, Qingyan Fu, Yusen Duan, Jingyuan Shao, Cheng Huang, Jingyu An, Likun Xue, Ziyue Li, Chenxi Li, and Huayun Xiao
Atmos. Chem. Phys., 22, 4355–4374, https://doi.org/10.5194/acp-22-4355-2022, https://doi.org/10.5194/acp-22-4355-2022, 2022
Short summary
Short summary
Particulate nitrate plays an important role in wintertime haze pollution in eastern China, yet quantitative constraints on detailed nitrate formation mechanisms remain limited. Here we quantified the contributions of the heterogeneous N2O5 hydrolysis (66 %) and gas-phase OH + NO2 reaction (32 %) to nitrate formation in this region and identified the atmospheric oxidation capacity (i.e., availability of O3 and OH radicals) as the driving factor of nitrate formation from both processes.
Chaoyang Xue, Can Ye, Jörg Kleffmann, Chenglong Zhang, Valéry Catoire, Fengxia Bao, Abdelwahid Mellouki, Likun Xue, Jianmin Chen, Keding Lu, Yong Zhao, Hengde Liu, Zhaoxin Guo, and Yujing Mu
Atmos. Chem. Phys., 22, 3149–3167, https://doi.org/10.5194/acp-22-3149-2022, https://doi.org/10.5194/acp-22-3149-2022, 2022
Short summary
Short summary
Summertime measurements of nitrous acid (HONO) and related parameters were conducted at the foot and the summit of Mt. Tai (1534 m above sea level). We proposed a rapid vertical air mass exchange between the foot and the summit level, which enhances the role of HONO in the oxidizing capacity of the upper boundary layer. Kinetics for aerosol-derived HONO sources were constrained. HONO formation from different paths was quantified and discussed.
Wei Sun, Yuzhen Fu, Guohua Zhang, Yuxiang Yang, Feng Jiang, Xiufeng Lian, Bin Jiang, Yuhong Liao, Xinhui Bi, Duohong Chen, Jianmin Chen, Xinming Wang, Jie Ou, Ping'an Peng, and Guoying Sheng
Atmos. Chem. Phys., 21, 16631–16644, https://doi.org/10.5194/acp-21-16631-2021, https://doi.org/10.5194/acp-21-16631-2021, 2021
Short summary
Short summary
We sampled cloud water at a remote mountain site and investigated the molecular characteristics. CHON and CHO are dominant in cloud water. No statistical difference in the oxidation state is observed between cloud water and interstitial PM2.5. Most of the formulas are aliphatic and olefinic species. CHON, with aromatic structures and organosulfates, are abundant, especially in nighttime samples. The in-cloud and multi-phase dark reactions likely contribute significantly.
Men Xia, Xiang Peng, Weihao Wang, Chuan Yu, Zhe Wang, Yee Jun Tham, Jianmin Chen, Hui Chen, Yujing Mu, Chenglong Zhang, Pengfei Liu, Likun Xue, Xinfeng Wang, Jian Gao, Hong Li, and Tao Wang
Atmos. Chem. Phys., 21, 15985–16000, https://doi.org/10.5194/acp-21-15985-2021, https://doi.org/10.5194/acp-21-15985-2021, 2021
Short summary
Short summary
ClNO2 is an important precursor of chlorine radical that affects photochemistry. However, its production and impact are not well understood. Our study presents field observations of ClNO2 at three sites in northern China. These observations provide new insights into nighttime processes that produce ClNO2 and the significant impact of ClNO2 on secondary pollutions during daytime. The results improve the understanding of photochemical pollution in the lower part of the atmosphere.
Letizia Abis, Carmen Kalalian, Bastien Lunardelli, Tao Wang, Liwu Zhang, Jianmin Chen, Sébastien Perrier, Benjamin Loubet, Raluca Ciuraru, and Christian George
Atmos. Chem. Phys., 21, 12613–12629, https://doi.org/10.5194/acp-21-12613-2021, https://doi.org/10.5194/acp-21-12613-2021, 2021
Short summary
Short summary
Biogenic volatile organic compound (BVOC) emissions from rapeseed leaf litter have been investigated by means of a controlled atmospheric simulation chamber. The diversity of emitted VOCs increased also in the presence of UV light irradiation. SOA formation was observed when leaf litter was exposed to both UV light and ozone, indicating a potential contribution to particle formation or growth at local scales.
Zhenzhen Wang, Di Wu, Zhuoyu Li, Xiaona Shang, Qing Li, Xiang Li, Renjie Chen, Haidong Kan, Huiling Ouyang, Xu Tang, and Jianmin Chen
Atmos. Chem. Phys., 21, 12227–12241, https://doi.org/10.5194/acp-21-12227-2021, https://doi.org/10.5194/acp-21-12227-2021, 2021
Short summary
Short summary
This study firstly investigates the composition of sugars in the fine fraction of aerosol over three sites in southwest China. The result suggested no significant reduction in biomass burning emissions in southwest Yunnan Province to some extent. The result shown sheds light on the contributions of biomass burning and the characteristics of biogenic saccharides in these regions, which could be further applied to regional source apportionment models and global climate models.
Rui Li, Yilong Zhao, Hongbo Fu, Jianmin Chen, Meng Peng, and Chunying Wang
Atmos. Chem. Phys., 21, 8677–8692, https://doi.org/10.5194/acp-21-8677-2021, https://doi.org/10.5194/acp-21-8677-2021, 2021
Short summary
Short summary
Based on a random forest model, the strict lockdown measures significantly decreased primary components such as Cr (−67 %) and Fe (−61 %) in PM2.5 (p < 0.01), whereas the higher relative humidity (RH) and NH3 level and the lower air temperature (T) remarkably enhanced the production of secondary aerosol including SO42− (29 %), NO3− (29 %), and NH4+ (21 %) (p < 0.05). The natural experiment suggested that the NH3 emission should be strictly controlled.
Rui Li, Lulu Cui, Yilong Zhao, Wenhui Zhou, and Hongbo Fu
Earth Syst. Sci. Data, 13, 2147–2163, https://doi.org/10.5194/essd-13-2147-2021, https://doi.org/10.5194/essd-13-2147-2021, 2021
Short summary
Short summary
A unique monthly NO3− dataset at 0.25° resolution over China during 2005–2015 was developed by assimilating multi-source variables. The newly developed product featured an excellent cross-validation R2 value (0.78) and relatively lower RMSE (1.19 μg N m−3) and mean absolute error (MAE: 0.81 μg N m−3). The dataset also exhibited relatively robust performance at the spatial and temporal scales. The dataset over China could deepen knowledge of the status of N pollution in China.
Jinlong Ma, Juanyong Shen, Peng Wang, Shengqiang Zhu, Yu Wang, Pengfei Wang, Gehui Wang, Jianmin Chen, and Hongliang Zhang
Atmos. Chem. Phys., 21, 7343–7355, https://doi.org/10.5194/acp-21-7343-2021, https://doi.org/10.5194/acp-21-7343-2021, 2021
Short summary
Short summary
Due to the reduced anthropogenic emissions during the COVID-19 lockdown, mainly from the transportation and industrial sectors, PM2.5 decreased significantly in the whole Yangtze River Delta (YRD) and its major cities. However, the contributions and relative importance of different source sectors and regions changed differently, indicating that control strategies should be adjusted accordingly for further pollution control.
Kun Zhang, Ling Huang, Qing Li, Juntao Huo, Yusen Duan, Yuhang Wang, Elly Yaluk, Yangjun Wang, Qingyan Fu, and Li Li
Atmos. Chem. Phys., 21, 5905–5917, https://doi.org/10.5194/acp-21-5905-2021, https://doi.org/10.5194/acp-21-5905-2021, 2021
Short summary
Short summary
Recently, high O3 concentrations were frequently observed in rural areas of the Yangtze River Delta (YRD) region under stagnant conditions. Using an online measurement and observation-based model, we investigated the budget of ROx radicals and the influence of isoprene chemistry on O3 formation. Our results underline that isoprene chemistry in the rural atmosphere becomes important with the participation of anthropogenic NOx.
Xiaona Shang, Ling Li, Xinlian Zhang, Huihui Kang, Guodong Sui, Gehui Wang, Xingnan Ye, Hang Xiao, and Jianmin Chen
Atmos. Meas. Tech., 14, 1037–1045, https://doi.org/10.5194/amt-14-1037-2021, https://doi.org/10.5194/amt-14-1037-2021, 2021
Short summary
Short summary
Oxidative stress can be used to evaluate not only adverse health effects but also adverse ecological effects. However, little research uses eco-toxicological assay to assess the risks posed by particle matter to non-human biomes. One important reason might be that the concentration of toxic components of atmospheric particles is far below the high detection limit of eco-toxic measurement. To solve the rapid detection problem, we extended a VACES for ecotoxicity aerosol measurement.
Yujiao Zhu, Likun Xue, Jian Gao, Jianmin Chen, Hongyong Li, Yong Zhao, Zhaoxin Guo, Tianshu Chen, Liang Wen, Penggang Zheng, Ye Shan, Xinfeng Wang, Tao Wang, Xiaohong Yao, and Wenxing Wang
Atmos. Chem. Phys., 21, 1305–1323, https://doi.org/10.5194/acp-21-1305-2021, https://doi.org/10.5194/acp-21-1305-2021, 2021
Short summary
Short summary
This work investigates the long-term changes in new particle formation (NPF) events under reduced SO2 emissions at the summit of Mt. Tai during seven campaigns from 2007 to 2018. We found the NPF intensity increased 2- to 3-fold in 2018 compared to 2007. In contrast, the probability of new particles growing to CCN size largely decreased. Changes to biogenic VOCs and anthropogenic emissions are proposed to explain the distinct NPF characteristics.
Jiarong Li, Chao Zhu, Hui Chen, Defeng Zhao, Likun Xue, Xinfeng Wang, Hongyong Li, Pengfei Liu, Junfeng Liu, Chenglong Zhang, Yujing Mu, Wenjin Zhang, Luming Zhang, Hartmut Herrmann, Kai Li, Min Liu, and Jianmin Chen
Atmos. Chem. Phys., 20, 13735–13751, https://doi.org/10.5194/acp-20-13735-2020, https://doi.org/10.5194/acp-20-13735-2020, 2020
Short summary
Short summary
Based on a field study at Mt. Tai, China, the simultaneous variations of cloud microphysics, aerosol microphysics and their potential interactions during cloud life cycles were discussed. Results demonstrated that clouds on clean days were more susceptible to the concentrations of particle number, while clouds formed on polluted days might be more sensitive to meteorological parameters. Particles larger than 150 nm played important roles in forming cloud droplets with sizes of 5–10 μm.
Rui Li, Qiongqiong Wang, Xiao He, Shuhui Zhu, Kun Zhang, Yusen Duan, Qingyan Fu, Liping Qiao, Yangjun Wang, Ling Huang, Li Li, and Jian Zhen Yu
Atmos. Chem. Phys., 20, 12047–12061, https://doi.org/10.5194/acp-20-12047-2020, https://doi.org/10.5194/acp-20-12047-2020, 2020
Cited articles
Alghamdi, M. A., Khoder, M., Abdelmaksoud, A. S., Harrison, R. M., Hussein,
T., Lihavainen, H., and Hämeri, K.: Seasonal and diurnal variations of
BTEX and their potential for ozone formation in the urban background
atmosphere of the coastal city Jeddah, Saudi Arabia, Air Qual. Atmos. Hlth.,
7, 467–480, https://doi.org/10.1007/s11869-014-0263-x, 2014.
Amor-Carro, O., White, K. M., Fraga-Iriso, R., Marinas-Pardo, L. A.,
Nunez-Naveira, L., Lema-Costa, B., Villarnovo, M., Verea-Hernando, H., and
Ramos-Barbon, D.: Airway hyperresponsiveness, inflammation, and pulmonary
emphysema in rodent models designed to mimic exposure to fuel oil-derived
volatile organic compounds encountered during an experimental oil spill,
Environ. Health Persp., 128, 027003, https://doi.org/10.1289/EHP4178,
2020.
An, J., Zhu, B., Wang, H., Li, Y., Lin, X., and Yang, H.: Characteristics
and source apportionment of VOCs measured in an industrial area of Nanjing,
Yangtze River Delta, China, Atmos. Environ., 97, 206–214,
https://doi.org/10.1016/j.atmosenv.2014.08.021, 2014.
An, J. L., Wang, J. X., Zhang, Y. X., and Zhu, B.: Source Apportionment of
Volatile Organic Compounds in an Urban Environment at the Yangtze River
Delta, China, Arch. Environ. Con. Tox., 72, 335–348,
https://doi.org/10.1007/s00244-017-0371-3, 2017.
Bari, M. A. and Kindzierski, W. B.: Ambient volatile organic compounds
(VOCs) in Calgary, Alberta: Sources and screening health risk assessment,
Sci. Total Environ., 631–632, 627–640,
https://doi.org/10.1016/j.scitotenv.2018.03.023, 2018.
Brown, S. G., Frankel, A., and Hafner, H. R.: Source apportionment of VOCs
in the Los Angeles area using positive matrix factorization, Atmos.
Environ., 41, 227–237, https://doi.org/10.1016/j.atmosenv.2006.08.021, 2007.
Brown, S. G., Eberly, S., Paatero, P., and Norris, G. A.: Methods for
estimating uncertainty in PMF solutions: Examples with ambient air and water
quality data and guidance on reporting PMF results, Sci. Total Environ.,
518–519, 626–635, https://doi.org/10.1016/j.scitotenv.2015.01.022, 2015.
Cai, C., Geng, F., Yu, Q., An, J., and Han, J.: Source apportionment of VOCs at
city centre of Shanghai in summer, Acta Sci. Circumst., 30, 926–934,
https://doi.org/10.1631/jzus.A1000244, 2010a.
Carter, W. P. L.: Development of ozone reactivity scales for volatile
organic compounds, J. Air Waste Manage. Assoc., 44, 881–899,
https://doi.org/10.1080/1073161X.1994.10467290, 1994.
Chang, C. C., Wang, J. L., Liu, S. C., and Candice, L. S. C.: Assessment of
vehicular and non-vehicular contributions to hydrocarbons using exclusive
vehicular indicators, Atmos. Environ., 40, 6349–6361,
https://doi.org/10.1016/j.atmosenv.2006.05.043, 2006.
Chen, C., Xia, Z. H., Wu, M. M., Zhang, Q. Q., Wang, T., and Wang, L. P.:
Concentrations, Source Identification, and Lung Cancer Risk Associated with
Springtime PM2.5-Bound Polycyclic Aromatic Hydrocarbons (PAHs) in
Nanjing, China, Arch. Environ. Contam. Toxicol., 73, 391–400,
https://doi.org/10.1007/s00244-017-0435-4, 2017.
Chen, T. M., Kuschner, W. G., Gokhale, J., and Schofer, S.: Outdoor air
pollution: Ozone health effects, Am. J. Med. Sci., 333, 244–248,
https://doi.org/10.1097/MAJ.0b013e31803b8e8c, 2007.
Dai, H. X., Jing, S. G., Wang, H. L., Ma, Y. G., Li, L., Song, W. M., and
Kan, H. D.: VOC characteristics and inhalation health risks in newly
renovated residences in Shanghai, China, Sci. Total Environ., 577, 73–83,
https://doi.org/10.1016/j.scitotenv.2016.10.071, 2017.
Dai, P., Ge, Y., Lin, Y., Su, S., and Liang, B.: Investigation on
characteristics of exhaust and evaporative emissions from passenger cars
fueled with gasoline/methanol blends, Fuel, 113, 10–16,
https://doi.org/10.1016/j.fuel.2013.05.038, 2013.
Debevec, C., Sauvage, S., Gros, V., Salameh, T., Sciare, J., Dulac, F., and Locoge, N.: Seasonal variation and origins of volatile organic compounds observed during 2 years at a western Mediterranean remote background site (Ersa, Cape Corsica), Atmos. Chem. Phys., 21, 1449–1484, https://doi.org/10.5194/acp-21-1449-2021, 2021.
Deng, C. X., Jin, Y. J., Zhang, M., Liu, X. W., and Yu, Z. M.: Emission
Characteristics of VOCs from On-Road Vehicles in an Urban Tunnel in Eastern
China and Predictions for 2017–2026, Aerosol Air Qual. Res., 18, 3025–3034,
https://doi.org/10.4209/aaqr.2018.07.0248, 2018.
Draxier, R. R. and Hess, G. D.: An overview of the hysplit-4 modelling
system for trajectories, Aust. Meteorol. Mag., 47, 295–308, 1998.
Dumanoglu, Y., Kara, M., Altiok, H., Odabasi, M., Elbir, T., and Bayram, A.:
Spatial and seasonal variation and source apportionment of volatile organic
compounds (VOCs) in a heavily industrialized region, Atmos. Environ., 98,
168–178, https://doi.org/10.1016/j.atmosenv.2014.08.048, 2014.
Gaimoz, C., Sauvage, S., Gros, V., Herrmann, F., Williams, J., Locoge, N.,
Perrussel, O., Bonsang, B., d'Argouges, O., Sarda-Estève, R., and
Sciare, J.: Volatile organic compounds sources in Paris in spring 2007. Part
II: Source apportionment using positive matrix factorisation, Environ.
Chem., 8, 91–103, https://doi.org/10.1071/EN10067, 2011.
Gao, W., Tie, X., Xu, J., Huang, R., Mao, X., Zhou, G., and Chang, L.:
Long-term trend of O3 in a mega City 694 (Shanghai), China:
Characteristics, causes, and interactions with precursors, Sci. Total
Environ., 695, 603–604, https://doi.org/10.1016/j.scitotenv.2017.06.099, 2017.
Geng, F. H., Cai, C. J., Tie, X. X., Yu, Q., An, J. L., Peng, L., Zhou, G.
Q., and Xu, J. M.: Analysis of VOC emissions using PCA/APCS receptor model
at city of Shanghai, China, J. Atmos. Chem., 62, 229–247,
https://doi.org/10.1007/s10874-010-9150-5, 2009.
Grosjean, D. and Seinfeld, J. H.: Parameterization of the formation
potential of secondary organic aerosols, Atmos. Environ., 23, 1733–1747,
https://doi.org/10.1016/0004-6981(89)90058-9, 1989.
Gu, Y. X., Li, K., Xu, J. M., Liao, H., and Zhou, G. Q.: Observed dependence
of surface ozone on increasing temperature in Shanghai, China, Atmos.
Environ., 221, 117108, https://doi.org/10.1016/j.atmosenv.2019.117108,
2020.
Guo, H., Cheng, H. R., Ling, Z. H., Louie, P. K. K., and Ayoko, G. A.: Which
emission sources are responsible for the volatile organic compounds in the
atmosphere of Pearl River Delta?, J. Hazard. Mater., 188, 116-1-24,
https://doi.org/10.1016/j.jhazmat.2011.01.081, 2011.
Guo, H., Ling, Z. H., Cheng, H. R., Simpson, I. J., Lyu, X. P., Wang, X. M.,
Shao, M. Z., Lu, H. X., Ayoko, G., Zhang, Y. L., Saunders, S., Lam, S.,
Wang, J. L., and Blake, D. R.: Tropospheric volatile organic compounds in
China, Sci. Total Environ., 574, 1021–1043,
https://doi.org/10.1016/j.scitotenv.2016.09.116, 2017.
Guo, H., Wang, T., and Louie, P. K.: Source apportionment of ambient
non-methane hydrocarbons in Hong Kong: application of a principal component
analysis/absolute principal component scores (PCA/APCS) receptor model,
Environ. Pollut., 129, 489–498,
https://doi.org/10.1016/j.envpol.2003.11.006, 2004.
Han, D. M., Wang, Z., Cheng, J. P., Wang, Q., Chen, X. J., and Wang, H. L.:
Volatile organic compounds (VOCs) during non-haze and haze days in Shanghai:
characterization and secondary organic aerosol (SOA) formation, Environ.
Sci. Pollut. Res., 24, 18619–18629,
https://doi.org/10.1007/s11356-017-9433-3, 2017.
Han, Y.: Data for: “Measurement report: Simultaneous multi-site
observations of VOCs in Shanghai, East China: characteristics, sources and
secondary formation potentials”, Mendeley Data [data set],
https://doi.org/10.17632/mf4gf36r9n.1, 2022.
Heald, C. L., Gouw, J. De, Goldstein, A. H., Guenther, A. B., Hayes, P. L.,
Hu, W., Isaacman-Vanwertz, G., Jimenez, J. L., Keutsch, F. N., Koss, A. R.,
Misztal, P. K., Rappenglück, B., Roberts, J. M., StevensP. S.,
Washenfelder, R. A., Warneke, C., and Young, C. J.: Contrasting reactive
organic carbon observations in the Southeast United States (SOAS) and
Southern California (CalNex), Environ. Sci. Technol., 54, 14923–14935,
https://doi.org/10.1021/acs.est.0c05027, 2020.
Hong, Z., Li, M., Wang, H., Xu, L., Hong, Y., Chen, J., Chen, J., Zhang, H.,
Zhang, Y., Wu, X., Hu, B., and Li, M.: Characteristics of atmospheric
volatile organic compounds (VOCs) at a mountainous forest site and two urban
sites in the southeast of China, Sci. Total Environ., 657, 1491–1500,
https://doi.org/10.1016/j.scitotenv.2018.12.132, 2019.
Hopke, P. K. Review of receptor modeling methods for source apportionment,
J. Air Waste Manage., 66, 237–259,
https://doi.org/10.1080/10962247.2016.1140693, 2016.
Huang, C., Wang, H. L., Li, L., Wang, Q., Lu, Q., de Gouw, J. A., Zhou, M., Jing, S. A., Lu, J., and Chen, C. H.: VOC species and emission inventory from vehicles and their SOA formation potentials estimation in Shanghai, China, Atmos. Chem. Phys., 15, 11081–11096, https://doi.org/10.5194/acp-15-11081-2015, 2015.
Hui, L. R., Liu, X. G., Tan, Q. W., Feng, M., An, J. L., Qu, Y., Zhang, Y.
H., and Jiang, M. Q.: Characteristics, source apportionment and contribution
of VOCs to ozone formation in Wuhan, Central China, Atmos. Environ., 192,
55–71, https://doi.org/10.1016/j.atmosenv.2018.08.042, 2018.
Hui, L. R., Liu, X. G., Tan, Q. W., Feng, M., An, J. L., Qu, Y., Zhang Y.
H., and Cheng, N. L.: VOC characteristics, sources and contributions to SOA
formation during haze events in Wuhan, Central China, Sci. Total Environ.,
650, 2624–2639, https://doi.org/10.1016/j.scitotenv.2018.10.029, 2019.
Jobson, B. T., Parrish, D. D., Goldan, P., Kuster, W., Fehsenfeld, F. C.,
Blake, D. R., and Niki, H.: Spatial and temporal variability of nonmethane
hydrocarbon mixing ratios and their relation to photochemical lifetime, J.
Geophys. Res.-Atmos., 103, 13557–13567,
https://doi.org/10.1029/97JD01715, 1998.
Jookjantra, P., Thepanondh, S., Keawboonchu, J., Kultan, V., and Laowagul,
W.: Formation potential and source contribution of secondary organic aerosol
from volatile organic compounds, J. Environ. Qual., 51, 1061–1034,
https://doi.org/10.1002/jeq2.20381, 2022.
Kumar, A., Singh, D., Kumar, K. S., Singh, B. B., and Jain, V. K.:
Distribution of VOCs in urban and rural atmospheres of subtropical India:
Temporal variation, source attribution, ratios, OFP and risk assessment,
Sci. Total Environ., 613–614, 492–501,
https://doi.org/10.1016/j.scitotenv.2017.09.096, 2018.
Li, B., Ho, S. S. H., Gong, S., Ni, J., Li, H., Han, L., Yang, Y., Qi, Y., and Zhao, D.: Characterization of VOCs and their related atmospheric processes in a central Chinese city during severe ozone pollution periods, Atmos. Chem. Phys., 19, 617–638, https://doi.org/10.5194/acp-19-617-2019, 2019.
Li, J., Zhai, C. Z., Yu, J. Y., Liu, R. L., Li, Y. Q., Zeng, L. M., and Xie,
S. D.: Spatiotemporal variations of ambient volatile organic compounds and
their sources in Chongqing, a mountainous megacity in China, Sci. Total
Environ., 627, 1442–1452, https://doi.org/10.1016/j.scitotenv.2018.02.010,
2018.
Li, K., Chen, L., Ying, F., White, S. J., Jang, C., Wu,
X., Gao, X., Hong, S., Shen, J., Azzi, M., and Cen, K.: Meteorological and chemical impacts on
ozone formation: A case study in Hangzhou, China, Atmos. Res., 196, 40–52, https://doi.org/10.1016/j.atmosres.2017.06.003, 2017.
Li, L., Xie, S., Zeng, L., Wu, R., and Li, J.: Characteristics of volatile
organic compounds and their role in ground-level ozone formation in the
Beijing-Tianjin-Hebei region, China, Atmos. Environ., 113, 247–254,
https://doi.org/10.1016/j.atmosenv.2015.05.021, 2015.
Li, L., Tan, Q., Zhang, Y., Feng, M., Qu, Y., An, J., and Liu, X.:
Characteristics and source apportionment of PM2.5 during persistent
extreme haze events in Chengdu, Southwest China, Environ. Pollut., 230,
718–729, https://doi.org/10.1016/j.envpol.2017.07.029, 2017.
Li, M., Zhang, Q., Zheng, B., Tong, D., Lei, Y., Liu, F., Hong, C., Kang, S., Yan, L., Zhang, Y., Bo, Y., Su, H., Cheng, Y., and He, K.: Persistent growth of anthropogenic non-methane volatile organic compound (NMVOC) emissions in China during 1990–2017: drivers, speciation and ozone formation potential, Atmos. Chem. Phys., 19, 8897–8913, https://doi.org/10.5194/acp-19-8897-2019, 2019.
Li, X. H., Wang, S. X., and Hao, J. M.: Characteristics of Volatile Organic
Compounds (VOCs) Emitted from Biofuel Combustion in China, Environ. Sci.,
32, 3515–3521, https://doi.org/10.1109/ICMTMA.2014.201, 2011.
Li, Y. D., Yin, S. S., Yu, S. J., Yuan, M. H., Dong, Z., Zhang, D., Yang, L.
M., and Zhang, R. Q.: Characteristics, source apportionment and health risks
of ambient VOCs during high ozone period at an urban site in central plain,
China, Chemosphere, 250, 126283,
https://doi.org/10.1016/j.chemosphere.2020.126283, 2020.
Li, Y. J., Ren, B. N., Qiao, Z., Zhu, J. P., Wang, H. L., Zhou, M., Qiao, L.
P., Lou, S. R., Jing, S. G., Huang, C., Tao, S. K., Rao, P. H., and Li, J.:
Characteristics of atmospheric intermediate volatility organic compounds
(IVOCs) in winter and summer under different air pollution levels, Atmos.
Environ., 210, 58–65, https://doi.org/10.1016/j.atmosenv.2019.04.041, 2019.
Li, Z. Y., Ho, K. F., and Yin, S. H. L.: Source apportionment of
hourly-resolved ambient volatile organic compounds: Influence of temporal
resolution, Sci. Total Environ., 725, 138243,
https://doi.org/10.1016/j.scitotenv.2020.138243, 2020.
Lim, Y. B., Tan, Y., Perri, M. J., Seitzinger, S. P., and Turpin, B. J.: Aqueous chemistry and its role in secondary organic aerosol (SOA) formation, Atmos. Chem. Phys., 10, 10521–10539, https://doi.org/10.5194/acp-10-10521-2010, 2010.
Ling, Z. H., Guo, H., Cheng, H. R., and Yu, Y. F.: Sources of ambient
volatile organic compounds and their contributions to photochemical ozone
formation at a site in the Pearl River Delta, southern China, Environ.
Pollut., 159, 2310–2319, https://doi.org/10.1016/j.envpol.2011.05.001,
2011.
Liu, J., Chu, B. W., Jia, Y. C., Cao, Q., Zhang, H., Chen, T. Z., Ma, Q. X.,
Ma, J. Z., Wang, Y. H., Zhang, P., and Hong, H.: Dramatic decrease of
secondary organic aerosol formation potential in Beijing: Important
contribution from reduction of coal combustion emission, Sci. Total
Environ., 832, 155045, https://doi.org/10.1016/j.scitotenv.2022.155045,
2022.
Liu, S. C.: Ozone production in the rural troposphere and the implications
for regional and global ozone distributions., J. Geophys. Res., 92,
4191–4207, https://doi.org/10.1029/JD092iD04p04191, 1987.
Liu, Y., Shao, M., Fu, L. L., Lu, S. H., Zeng, L. M., and Tang, D. G.:
Source profiles of volatile organic compounds (VOCs) measured in China: Part
I, Atmos. Environ., 42, 6247–6260, https://doi.org/10.1016/j.atmosenv.2008.01.070,
2008.
Liu, Y., Wang, H., Jing, S., Gao, Y., Peng, Y., Lou, S., Cheng, T., Tao, S.,
Li, L., Li, Y., Huang, D., Wang, Q., and An, J.: Characteristics and sources
of volatile organic compounds (VOCs) in Shanghai during summer: Implications
of regional transport, Atmos. Environ., 215, 116902,
https://doi.org/10.1016/j.atmosenv.2019.116902, 2019.
Liu, Y., Song, M., Liu, X., Zhang, Y., Hui, L., Kong, L., Zhang, Y., Zhang,
C., Qu, Y., An, J., Ma, D., Tan, Q., and Feng, M.: Characterization and
sources of volatile organic compounds (VOCs) and their related changes
during ozone pollution days in 2016 in Beijing, China, Environ. Pollut.,
257, 113599, https://doi.org/10.1016/j.envpol.2019.113599, 2020.
Liu, Y. H., Wang, H. L., Jing, S. G., Peng, Y. R., Gao, Y. Q., Yan, R. S.,
Wang, Q., Lou, S. R., Cheng, T. T., and Huang, C.: Strong regional transport
of volatile organic compounds (VOCs) during wintertime in Shanghai megacity
of China, Atmos. Environ., 244, 117940,
https://doi.org/10.1016/j.atmosenv.2020.117940, 2021.
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. Tech. Let., 5, 487–494,
https://doi.org/10.1021/acs.estlett.8b00366, 2018.
Lyu, X. P., Chen, N., Guo, H., Zhang, W. H., Wang, N., Wang, Y., and Liu,
M.: Ambient volatile organic compounds and their effect on ozone production
in Wuhan, Central China, Sci. Total Environ., 541, 662–669,
https://doi.org/10.1016/j.scitotenv.2015.09.093, 2016.
Ma, T., Duan, F., He, K., Qin, Y., Tong, D., Geng, G., Liu, X., Li, H.,
Yang, S., Ye, S., Xu, B., Zhang, Q., and Ma, Y.: Air pollution
characteristics and their relationship with emissions and meteorology in the
Yangtze River Delta region during 2014–2016, J. Environ. Sci., 83, 8–20,
https://doi.org/10.1016/j.jes.2019.02.031, 2019.
Merikanto, J., Spracklen, D. V., Mann, G. W., Pickering, S. J., and Carslaw, K. S.: Impact of nucleation on global CCN, Atmos. Chem. Phys., 9, 8601–8616, https://doi.org/10.5194/acp-9-8601-2009, 2009.
Mo, Z., Shao, M., Lu, S., Qu, H., Zhou, M., Sun, J., and Gou, B.:
Process-specifific emission characteristics of volatile organic compounds
(VOCs) from petrochemical facilities in the Yangtze River Delta, China, Sci.
Total Environ., 533, 422–431,
https://doi.org/10.1016/j.scitotenv.2015.06.089, 2015.
Mo, Z., Shao, M., and Lu, S.: Compilation of a source profile database for
hydrocarbon and OVOC emissions in China, Atmos. Environ., 143, 209–217,
https://doi.org/10.1016/j.atmosenv.2016.08.025, 2016.
Mousavinezhad, S., Choi, Y., Pouyaei, A., Ghahremanloo, M., and Nelson, D.
L.: A comprehensive investigation of surface ozone pollution in China,
2015–2019: Separating the contributions from meteorology and precursor
emissions, Atmos. Res., 257, 105599,
https://doi.org/10.1016/j.atmosres.2021.105599, 2021.
Morrow, N. L.: The industrial production and use of 1,3-butadiene, Environ.
Health Persp., 86, 7–8, https://doi.org/10.1289/ehp.90867, 1990.
Mozaffar, A., Zhang, Y. L., Fan, M. Y., Cao, F., and Lin, Y. C.:
Characteristics of summertime ambient VOCs and their contributions to
O3 and SOA formation in a suburban area of Nanjing, China, Atmos. Res.,
240, 104923, https://doi.org/10.1016/j.atmosres.2020.104923, 2020.
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.
Nelson, P. and Quigley, S.: The m, p-xylenes: ethylbenzene ratio. A
technique for estimating hydrocarbon age in ambient atmospheres, Atmos.
Environ., 17, 659–662,
https://doi.org/10.1016/0004-6981(83)90141-5, 1983.
Ng, N. L., Kroll, J. H., Chan, A. W. H., Chhabra, P. S., Flagan, R. C., and Seinfeld, J. H.: Secondary organic aerosol formation from m-xylene, toluene, and benzene, Atmos. Chem. Phys., 7, 3909–3922, https://doi.org/10.5194/acp-7-3909-2007, 2007.
Niu, H., Mo, Z., Shao, M., Lu, S., and Xie, S.: Screening the emission
sources of volatile organic compounds (VOCs) in China by multi-effects
evaluation, Front. Env. Sci. Eng., 10, 1–11,
https://doi.org/10.1007/s11783-016-0828-z, 2016.
Nussbaumer, C. M. and Cohen, R. C.: The role of temperature and NOx in
ozone trends in the Los Angeles Basin, Environ. Sci. Technol., 54,
15652–15659, https://doi.org/10.1021/acs.est.0c04910, 2020.
Odum, J. R., Jungkamp, T. P. W., Griffin, R. J., Forstner, H. J. L., Flagan,
R. C., and Seinfeld, J. H.: Aromatics, reformulated gasoline, and
atmospheric organic aerosol formation, Environ. Sci. Technol., 31,
1890–1897, https://doi.org/10.1021/es960535l, 1997.
Paatero, P.: Least squares formulation of robust non-negative factor
analysis, Chem. Intell. Lab. Syst., 37, 23–35,
https://doi.org/10.1016/S0169-7439(96)00044-5, 1997.
Pallavi, Sinha, B., and Sinha, V.: Source apportionment of volatile organic compounds in the northwest Indo-Gangetic Plain using a positive matrix factorization model, Atmos. Chem. Phys., 19, 15467–15482, https://doi.org/10.5194/acp-19-15467-2019, 2019.
Pankow, J. F.: An absorption-model of gas-particle partitioning of
organic-compounds in the atmosphere, Atmos. Environ., 28, 185–188,
https://doi.org/10.1016/1352-2310(94)90093-0, 1994.
Polissar, A. V., Hopke, P. K., Paatero, P., Kaufmann, Y. J., Hall, D. K.,
Bodhaine, B. A., Dutton, E. G., and Harris, J. M.: The aerosol at Barrow,
Alaska: long-term trends and source locations, Atmos. Environ., 33,
2441–2458, https://doi.org/10.1016/S1352-2310(98)00423-3, 1999.
Ren, B. N., Zhu, J. P., Tian, L. J., Wang, H. L., Huang, C., Jing, S. A.,
Lou, S. G., An, J. Y., Lu, J., Rao, P. H., Fu, Q. Y., Huo, J. T., and Li, Y.
J.: An alternative semi-quantitative GC/MS method to estimate levels of
airborne intermediate volatile organic compounds (IVOCs) in ambient air,
Atmos. Environ., 6, 100075, https://doi.org/10.1016/j.aeaoa.2020.100075,
2020.
Rumchev, K., Brown, H., and Spickett, J.: Volatile organic compounds: do
they present a risk to our health?, Rev. Environ. Health, 22, 39–55,
https://doi.org/10.1515/REVEH.2007.22.1.39, 2007.
Sadeghi, B., Pouyaei, A., Choi, Y., and Rappenglueck, B.: Measurement report: Summertime and wintertime VOCs in Houston: Source apportionment and spatial distribution of source origins, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2021-565, 2021.
Sawvel, E. J., Willis, R., West, R. R., Casuccio, G. S., Norris, G., Kumar,
N., Hammond, D., and Peters, T. M.: Passive sampling to capture the spatial
variability of coarse particles by composition in Cleveland, OH, Atmos.
Environ., 105, 61–69, https://doi.org/10.1016/j.atmosenv.2015.01.030, 2015.
Seinfeld, J. H., Erdakos, G. B., Asher, W. E., and Pankow, J. F.: Modeling
the formation of secondary organic aerosol (SOA). 2. The predicted effects
of relative humidity on aerosol formation in the α-pinene-, β-pinene-, sabinene-, Δ3-carene-, and cyclohexene-ozone systems.
Environ. Sci. Technol., 35, 1806–1817, https://doi.org/10.1021/es011025g,
2001.
Schauer, J. J., Kleeman, M. J., Cass, G. R., and Simoneit, B. R. T.:
Measurement of emissions from air pollution sources. 3. C-1-C-29 organic
compounds from fireplace combustion of wood, Environ. Sci. Technol., 35,
1716e1728, https://doi.org/10.1021/es001331e, 2001.
Shao, P., An, J. L., Xin, J. Y., Wu, F. K., Wang, J. X., Ji, D. S., and
Wang, Y. S.: Source apportionment of VOCs and the contribution to
photochemical ozone formation during summer in the typical industrial area
in the Yangtze River Delta, China, Atmos. Res., s176–s177, 64–74,
https://doi.org/10.1016/j.atmosres.2016.02.015, 2016.
Shi, C. Z., Wang, S., Liu, R., Zhou, R., Li, D., Wang, W., Li, Z., Cheng,
T., and Zhou, B.: A study of aerosol optical properties during ozone
pollution episodes in 2013 over Shanghai, China, Atmos. Res, 153, 235–249,
https://doi.org/10.1016/j.atmosres.2014.09.002, 2015.
Shi, J., Deng, H., Bai, Z., Kong, S., Wang, X., Hao, J., Han, X., and Ning,
P.: Emission and profifile characteristic of volatile organic compounds
emitted from coke production, iron smelt, heating station and power plant in
Liaoning Province, China, Sci. Total Environ., 515, 101–108,
https://doi.org/10.1016/j.scitotenv.2015.02.034, 2015.
Song, C. B., Wu, L., Xie, Y. C., He, J. J., Chen, X., Wang, T., Lin, Y. C.,
Jin, T. S., Wang, A. X., Liu, Y., Dai, Q. L., Liu, B. S., Wang, Y. N., and
Mao, H. J.: Air pollution in China: Status and spatiotemporal variations,
Environ. Pollut., 227, 334–347,
https://doi.org/10.1016/j.envpol.2017.04.075, 2017.
Song, M., Tan, Q., Feng, M., Qu, Y., Liu, X., An, J., and Zhang, Y.: Source
Apportionment and Secondary Transformation of Atmospheric Nonmethane
Hydrocarbons in Chengdu, Southwest China, J. Geophys. Res.-Atmos., 123,
9741–9763, https://doi.org/10.1029/2018JD028479, 2018.
Song, M., Li, X., Yang, S., Yu, X., Zhou, S., Yang, Y., Chen, S., Dong, H., Liao, K., Chen, Q., Lu, K., Zhang, N., Cao, J., Zeng, L., and Zhang, Y.: Spatiotemporal variation, sources, and secondary transformation potential of volatile organic compounds in Xi'an, China, Atmos. Chem. Phys., 21, 4939–4958, https://doi.org/10.5194/acp-21-4939-2021, 2021.
Song, M. D., Liu, X. G., Zhang, Y. H., Shao, M., Lu, K. D., Tan, Q. W., Feng, M.,
and Qu, Y.: Sources and abatement mechanisms of VOCs in southern China,
Atmos. Environ., 201, 28–40, https://doi.org/10.1016/j.atmosenv.2018.12.019,
2019a.
Song, S. K., Shon, Z. H., Kang, Y. H., Kim, K. H., Han, S. B., Kang, M. S.,
Bang, J. H., and Oh, I.: Source apportionment of VOCs and their impact on
air quality and health in the megacity of Seoul, Environ. Pollut., 247,
763–774, https://doi.org/10.1016/j.envpol.2019.01.102, 2019b.
Song, Y., Shao, M., Liu, Y., Lu, S., Kuster, W., Goldan, P., and Xie, S.:
Source apportionment of ambient volatile organic compounds in Beijing,
Environ. Sci. Technol., 41, 4348–4353,
https://doi.org/10.1021/es0625982, 2007.
Sun, J., Wu, F. K., Hu, B., Tang, G. Q., Zhang, J. K., and Wang, Y. S.: VOC
characteristics, emissions and contributions to SOA formation during haze
episodes, Atmos. Environ., 141, 560–570,
https://doi.org/10.1016/j.atmosenv.2016.06.060, 2016.
Tan, Z., Lu, K., Jiang, M., Su, R., Dong, H., Zeng, L., Xie, S. D., Tan, Q.
W., and Zhang, Y. H.: 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, J. H., Chan, L. Y., Chan, C. Y., Li, Y. S., Chang, C. C., Wang, X. M.,
and Wu, D.: Implications of changing urban and rural emissions on
non-methane hydrocarbons in the Pearl River Delta region of China, Atmos.
Environ., 42, 3780–3794,
https://doi.org/10.1016/j.atmosenv.2007.12.069, 2008.
Tian, L., Li, Y. F., Shao, L., and Zhang, Y.: Measuring Spatio-temporal
Characteristics of City Expansion and Its Driving Forces in Shanghai from
1990 to 2015, Chin. Geogra. Sci., 27, 875–890,
https://doi.org/10.1007/s11769-017-0883-9, 2017.
US EPA: Photochemical Assessment Monitoring Stations (PAMS), http://www3.epa.gov/ttnamti1/pamsmain.html (last access: 3 December 2018), 1990.
Vardoulakis, S., Solazzo, E., and Lumbreras, J.: Intra-urban and street
scale variability of BTEX, NO2 and O3 in Birmingham, UK:
Implications for exposure assessment, Atmos. Environ., 45, 5069–5078,
https://doi.org/10.1016/j.atmosenv.2011.06.038, 2011.
Velasco, E., Lamb, B., Westberg, H., Allwine, E., Sosa, G., Arriaga-Colina, J. L., Jobson, B. T., Alexander, M. L., Prazeller, P., Knighton, W. B., Rogers, T. M., Grutter, M., Herndon, S. C., Kolb, C. E., Zavala, M., de Foy, B., Volkamer, R., Molina, L. T., and Molina, M. J.: Distribution, magnitudes, reactivities, ratios and diurnal patterns of volatile organic compounds in the Valley of Mexico during the MCMA 2002 & 2003 field campaigns, Atmos. Chem. Phys., 7, 329–353, https://doi.org/10.5194/acp-7-329-2007, 2007.
Vo, T. D. H., Lin, C. S., Weng, C. E., Yuan, C. S., Lee, C. W., Hung, C. H.,
Bui, X. T., Lo, K. C., and Lin, J. X.: Vertical stratification of volatile
organic compounds and their photochemical product formation potential in an
industrial area, J. Environ. Manag., 217, 327–336,
doi.:10.1016/j.jenvman.2018.03.101, 2018.
Wang, H. L., Gao, Y. Q., Jing, S. A., Lou, S. R., Hu, Q. Y., An, J. Y., Wu,
Y. H., Gao, W., Zhu, L., and Huang, C.: Characterization of volatile organic
compounds (VOCs) using mobile monitoring around the industrial parks in the
Yangzte River Delta region of China, Huan jing ke xue= Huanjing kexue, 42, 1298–1305,
https://doi.org/10.13227/j.hjkx.202007265, 2021.
Wang, M., Shao, M., Lu, S. H., Yang, Y. D., and Chen, W. T.: Evidence of
coal combustion contribution to ambient VOCs during winter in Beijing, Chin.
Chem. Lett., 24, 829–832, https://doi.org/10.1016/j.cclet.2013.05.029,
2013.
Wang, P., Chen, Y., Hu, J. L., Zhang, H. L., and Ying, Q.: Source
apportionment of summertime ozone in China using a sourceoriented chemical
transport model, Atmos. Environ., 211, 79–90,
https://doi.org/10.1016/j.atmosenv.2019.05.006, 2019.
Wang, P., Wang, T., and Ying, Q.: Regional source apportionment of
summertime ozone and its precursors in the megacities of Beijing and
Shanghai using a source-oriented chemical transport model, Atmos. Environ.,
224, 117337, https://doi.org/10.1016/j.atmosenv.2020.117337, 2020.
Wang, R., Xu, X., Jia, S., Ma, R., Ran, L., Deng, Z., Lin, W., Wang, Y., and Ma, Z.: Lower tropospheric distributions of O3 and aerosol over Raoyang, a rural site in the North China Plain, Atmos. Chem. Phys., 17, 3891–3903, https://doi.org/10.5194/acp-17-3891-2017, 2017.
Wang, T., Xia, Z. H., Wu, M. M., Zhang, Q. Q., Sun, S. Q., Yin, J., Zhou, Y.
C., and Yang, H.: Pollution characteristics, sources and lung cancer risk of
atmospheric polycyclic aromatic hydrocarbons in a new urban district of
Nanjing, China, J. Environ. Sci., 55, 118–128,
https://doi.org/10.1016/j.jes.2016.06.025, 2017.
Wei, X. Y., Liu, M., Yang, J., Du, W. N., Sun, X., Huang, Y. P., Zhang, X.,
Khalil, S. K., Luo, D. M., and Zhou, Y. D.: Characterization of
PM2.5-bound PAHs and carbonaceous aerosols during three-month severe
haze episode in Shanghai, China: Chemical composition, source approtionment
and long-range transportation, Atmos. Environ., 203, 1–9,
https://doi.org/10.1016/j.atmosenv.2019.01.046, 2019.
Wongphatarakul, V., Fridelander, S. K., and Pinto, J. P.: A comparative
study of PM2.5 ambient aerosol chemical databases, Environ. Sci.
Technol., 32, 3926–3934, https://doi.org/10.1016/S0021-8502(98)00164-5,
1998.
Wu, R. R., Li, J., Hao, Y. F., Li, Y. Q., Zeng, L. M., and Xie, S. D.:
Evolution process and sources of ambient volatile organic compounds during a
severe haze event in Beijing, China, Sci. Total Environ., 560–561, 62–72,
https://doi.org/10.1016/j.scitotenv.2016.04.030, 2016.
Xie, Y. L. and Berkowitz, C. M.: The use of conditional probability
functions and potential source contribution functions to identify source
regions and advection pathways of hydrocarbon emissions in Houston, Texas,
Atmos. Environ., 41, 5831–5847,
https://doi.org/10.1016/j.atmosenv.2007.03.049, 2007.
Xiong, Y. and Du, K.: Source-resolved attribution of ground-level ozone
formation potential from VOC emissions in Metropolitan Vancouver, BC, Sci.
Total Environ., 721, 137698,
https://doi.org/10.1016/j.scitotenv.2020.137698, 2020.
Xu, J., Tie, X., Gao, W., Lin, Y., and Fu, Q.: Measurement and model analyses of the ozone variation during 2006 to 2015 and its response to emission change in megacity Shanghai, China, Atmos. Chem. Phys., 19, 9017–9035, https://doi.org/10.5194/acp-19-9017-2019, 2019.
Yan, Y. L., Peng, L., Li, R. M., Li, Y. H., Li, L. J., and Bai, H. L.:
Concentration, ozone formation potential and source analysis of volatile
organic compounds (VOCs) in a thermal power station centralized area: A
study in Shuozhou, China, Environ. Pollut., 223, 295–304,
https://doi.org/10.1016/j.envpol.2017.01.026, 2017.
Yang, M. R., Li, F. X., Huang, C. Y., Tong, L., Dai, X. R., and Xiao, H.:
VOC characteristics and their source apportionment in a coastal industrial
area in the Yangtze River Delta, China, J. Environ. Sci., 127, 483–493,
https://doi.org/10.1016/j.jes.2022.05.041, 2023.
Yang, Y. R., Liu, X. G., Qu, Y., An, J. L., Jiang, R., Zhang, Y. H., Sun, Y. L., Wu, Z. J., Zhang, F., Xu, W. Q., and Ma, Q. X.: Characteristics and formation mechanism of continuous hazes in China: a case study during the autumn of 2014 in the North China Plain, Atmos. Chem. Phys., 15, 8165–8178, https://doi.org/10.5194/acp-15-8165-2015, 2015.
Yao, Z., Wu, B., Shen, X., Cao, X., Jiang, X., Ye, Y., and He, K.: On-road
emission characteristics of VOCs from rural vehicles and their ozone
formation potential in Beijing, China, Atmos. Environ., 105, 91–96,
https://doi.org/10.1016/j.atmosenv.2015.01.054, 2015.
Yoo, J.-M., Jeong, M.-J., Kim, D., Stockwell, W. R., Yang, J.-H., Shin, H.-W., Lee, M.-I., Song, C.-K., and Lee, S.-D.: Spatiotemporal variations of air pollutants (O3, NO2, SO2, CO, PM10, and VOCs) with land-use types, Atmos. Chem. Phys., 15, 10857–10885, https://doi.org/10.5194/acp-15-10857-2015, 2015.
Yu, S., Su, F., Yin, S., Wang, S., Xu, R., He, B., Fan, X., Yuan, M., and Zhang, R.: Characterization of ambient volatile organic compounds, source apportionment, and the ozone–NOx–VOC sensitivities in a heavily polluted megacity of central China: effect of sporting events and emission reductions, Atmos. Chem. Phys., 21, 15239–15257, https://doi.org/10.5194/acp-21-15239-2021, 2021.
Yuan, B., Hu, W. W., Shao, M., Wang, M., Chen, W. T., Lu, S. H., Zeng, L. M., and Hu, M.: VOC emissions, evolutions and contributions to SOA formation at a receptor site in eastern China, Atmos. Chem. Phys., 13, 8815–8832, https://doi.org/10.5194/acp-13-8815-2013, 2013.
Zhan, J. L., Feng, Z. M., Liu, P. F., He, X. W., He, Z. M., Chen, T. Z.,
Wang, Y. F., He, H., Mu, Y. J., and Liu, Y. C.: Ozone and SOA formation
potential based on photochemical loss of VOCs during the Beijing summer,
Environ. Pollut., 285, 117444, https://doi.org/10.1016/j.envpol.2021.117444,
2021.
Zhang, D., He, B., Yuan, M. H., Yu, S. J., Yin, S. S., and Zhang, R. Q.:
Characteristics, sources and health risks assessment of VOCs in Zhengzhou,
China during the haze pollution season, J. Environ. Sci., 108, 44–57,
https://doi.org/10.1016/j.jes.2021.01.035, 2021.
Zhang, F., Shang, X. N., Chen, H., Xie, G. Z., Fu, Y., Wu, D., Sun, W. W.,
Liu, P. F., Wang, G. H., and Chen, J. M.: Significant impact of coal
combustion on VOCs emissions in winter in a North China rural site, Sci.
Total Environ., 720, 137617,
https://doi.org/10.1016/j.scitotenv.2020.137617, 2020b.
Zhang, G., Wang, N., Jiang, X., and Zhao, Y.: Characterization of ambient
volatile organic compounds (VOCs) in the area adjacent to a petroleum
refinery in Jinan, China, Aerosol Air Qual. Res., 17, 944–950,
https://doi.org/10.4209/aaqr.2016.07.0303, 2017.
Zhang, K., Li, L., Huang, L., Wang, Y. J., Huo, J. T., Duan, Y. S., Wang, Y.
H., and Fu, Q. Y.: The impact of volatile organic compounds on ozone
formation in the suburban area of Shanghai, Atmos. Environ., 232, 137617,
https://doi.org/10.1016/j.atmosenv.2020.117511, 2020a.
Zhang, S. B., Wang, S. S., Zhang, R. F., Guo, Y. L., Yan, Y. H., Ding, Z.
F., and Zhou, B.: Investigating the Sources of Formaldehyde and
Corresponding Photochemical Indications at a Suburb Site in Shanghai From
MAX-DOAS Measurements, J. Geophys. Res.-Atmos., 126, 1–20,
https://doi.org/10.1029/2020JD033351, 2021.
Zhang, Y., Wang, X., Zhang, Z., Lu, S., Shao, M., Lee, F. S. C., and Yu, J.:
Species profiles and normalized reactivity of volatile organic compounds
from gasoline evaporation in China, Atmos. Environ., 79, 110–118,
https://doi.org/10.1016/j.atmosenv.2013.06.029, 2013.
Zhang, Y. C., Li, R., Fu, H. B., Zhou, D., and Chen, J. M.: Observation and
analysis of atmospheric volatile organic compounds in a typical
petrochemical area in Yangtze River Delta, China, J. Environ. Sci., 71,
233–248, https://doi.org/10.1016/j.jes.2018.05.027, 2018.
Zheng, H., Kong, S., Xing, X., Mao, Y., Hu, T., Ding, Y., Li, G., Liu, D., Li, S., and Qi, S.: Monitoring of volatile organic compounds (VOCs) from an oil and gas station in northwest China for 1 year, Atmos. Chem. Phys., 18, 4567–4595, https://doi.org/10.5194/acp-18-4567-2018, 2018.
Zheng, H., Kong, S. F., Yan, Y. Y., Chen, N., Yao, L. Q., Liu, X., Wu, F.
Q., Cheng, Y., Niu, Z. Z., Zheng, S. R., Zeng, X., Yan, Q., Wu, J., Zheng,
M. M., Liu, D. T., Zhao, D. L., and Qi, S. H.: Compositions, sources and
health risks of ambient volatile organic compounds (VOCs) at a petrochemical
industrial park along the Yangtze River, Sci. Total. Environ., 73, 135505,
https://doi.org/10.1016/j.scitotenv.2019.135505, 2020.
Zheng, J. Y., Zhong, L. J., Wang, T., Louie, P. K. K., and Li, Z. C.:
Ground-level ozone in the Pearl River Delta region: analysis of data from a
recently established regional air quality monitoring network, Atmos.
Environ., 44, 814–823, https://doi.org/10.1016/j.atmosenv.2009.11.032, 2010.
Zhu, Y., Yang, L., Chen, J., Wang, X., Xue, L., Sui, X., Wen, L., Xu, C.,
Yao, L., Zhang, J., Shao, M., Lu, S., and Wang, W.: Characteristics of
ambient volatile organic compounds and the influence of biomass burning at a
rural site in Northern China during summer 2013, Atmos. Environ.,
124, 156–165, https://doi.org/10.1016/j.atmosenv.2015.08.097, 2016.
Zhu, Y. H., Yang, L. X., Kawamura, K., Chen, J. M., Ono, K. R., Wang, X. F.,
Xue, L. K., and Wang, W. X.: Contribution and source identification of
biogenic and anthropogenic hydrocarbons to secondary organic aerosols at Mt.
Tai in 2014, Environ. Pollut., 220, 863–872,
https://doi.org/10.1016/j.envpol.2016.10.070, 2017.
Short summary
Limited knowledge is available on volatile organic compound (VOC) multi-site research of different land-use types at city level. This study performed a concurrent multi-site observation campaign on the three typical land-use types of Shanghai, East China. The results showed that concentrations, sources and ozone and secondary organic aerosol formation potentials of VOCs varied with the land-use types.
Limited knowledge is available on volatile organic compound (VOC) multi-site research of...
Altmetrics
Final-revised paper
Preprint