Articles | Volume 17, issue 13
https://doi.org/10.5194/amt-17-4065-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-4065-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Jul 2024
Research article |
| 08 Jul 2024
| 08 Jul 2024
Estimation of biogenic volatile organic compound (BVOC) emissions in forest ecosystems using drone-based lidar, photogrammetry, and image recognition technologies
Xianzhong Duan
College of Environment and Climate, Institute for Environmental and Climate Research, Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Jinan University, Guangzhou, China
College of Environment and Climate, Institute for Environmental and Climate Research, Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Jinan University, Guangzhou, China
Guotong Wu
College of Environment and Climate, Institute for Environmental and Climate Research, Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Jinan University, Guangzhou, China
Suping Situ
Foshan Ecological and Environmental Monitoring Station of Guangdong Province, Foshan, China
Shengjie Zhu
Department of Environmental Science, Guangdong Polytechnic of Environmental Protection Engineering, Foshan, China
Qi Zhang
Tianjin Academy of Eco-environmental Science, Tianjin, China
Yibo Huangfu
College of Environment and Climate, Institute for Environmental and Climate Research, Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Jinan University, Guangzhou, China
Weiwen Wang
College of Environment and Climate, Institute for Environmental and Climate Research, Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Jinan University, Guangzhou, China
Weihua Chen
College of Environment and Climate, Institute for Environmental and Climate Research, Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Jinan University, Guangzhou, China
College of Environment and Climate, Institute for Environmental and Climate Research, Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Jinan University, Guangzhou, China
Xuemei Wang
CORRESPONDING AUTHOR
College of Environment and Climate, Institute for Environmental and Climate Research, Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Jinan University, Guangzhou, China
Related authors
Chujun Chen, Weihua Chen, Linhao Guo, Yongkang Wu, Xianzhong Duan, Xuemei Wang, and Min Shao
EGUsphere, https://doi.org/10.5194/egusphere-2025-687, https://doi.org/10.5194/egusphere-2025-687, 2025
Short summary
Short summary
Background O3 forms the baseline level of O3 pollution, even without local human activities. This review examines how background O3 is defined and estimated, revealing significant variations across China, with higher level in the Northwest and lower in the Northeast region. Globally, China’s background O3 levels are medium-to-high and rising. The study calls for integrated estimation methods, international collaboration, and research on climate-ozone links to improve air quality strategies.
Wenhui Zhao, Weiwei Hu, Zhaoce Liu, Tianle Pan, Tingting Feng, Jun Wang, Yiyu Cai, Lin Liang, Shan Huang, Bin Yuan, Nan Ma, Min Shao, Guohua Zhang, Xinhui Bi, Xinming Wang, and Pengfei Yu
EGUsphere, https://doi.org/10.5194/egusphere-2025-2974, https://doi.org/10.5194/egusphere-2025-2974, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Short summary
Our study examined brown carbon—organic aerosols that absorb light—at the remote Tibet and urban Guangzhou. Field data showed Tibet’s brown carbon absorbs about 10 times less than Guangzhou’s, due to cleaner air. Yet, over 75 % of its light absorption still comes from primary emission, which causes over 98 % of its climate-warming effect in both places. This study advances understanding of BrC dynamics and its sources in diverse environments for global climate effects.
Xi Chen, Xiaoyang Chen, Long Wang, Shucheng Chang, Minhui Li, Chong Shen, Chenghao Liao, Yongbo Zhang, Mei Li, and Xuemei Wang
EGUsphere, https://doi.org/10.5194/egusphere-2025-2635, https://doi.org/10.5194/egusphere-2025-2635, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Short summary
Typhoons moving north near China create ozone pollution in Guangdong by combining strong sunlight with stagnant air. These tyhoons also push ozone-rich air from high altitudes down to ground level. When multiple north-moving typhoons occur back-to-back, they cause widespread and long-lasting ozone pollution. Vertical air currents during these events can contribute up to 16 % of boundary layer ozone.
Yuwen Peng, Bin Yuan, Sihang Wang, Xin Song, Zhe Peng, Wenjie Wang, Suxia Yang, Jipeng Qi, Xianjun He, Yibo Huangfu, Xiao-Bing Li, and Min Shao
Atmos. Chem. Phys., 25, 7037–7052, https://doi.org/10.5194/acp-25-7037-2025, https://doi.org/10.5194/acp-25-7037-2025, 2025
Short summary
Short summary
A structural-based parameterization for the photolysis rates of oxygenated volatile organic compounds (OVOCs) was integrated into an updated chemical mechanism. This method links photolysis rates to species' structure, bypassing limitations of insufficient quantum yield data. Box model results show that non-HCHO OVOCs, particularly multifunctional carbonyl compounds, significantly contribute to radical production, with alkene and aromatic oxidation products playing key roles.
Yibo Huangfu, Ziyang Liu, Bin Yuan, Sihang Wang, Xianjun He, Wei Zhou, Fei Wang, Ping Tian, Wei Xiao, Yuanmou Du, Jiujiang Sheng, and Min Shao
EGUsphere, https://doi.org/10.5194/egusphere-2025-2988, https://doi.org/10.5194/egusphere-2025-2988, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Short summary
Severe air pollution over the North China Plain has posed significant threats to human health. Emerging evidence highlights the vital role of vertical pollutant transport in influencing surface air quality. In this study, we summarized the vertical profiles of key pollutants based on aircraft surveys up to 4,000 m. The influence of regional transport on the vertical distribution patterns was analyzed, offering essential data for evaluating the impact of aloft pollutants on surface air quality.
Weichao Huang, Sihang Wang, Peng Cheng, Bingna Chen, Bin Yuan, Pengfei Yu, Haichao Wang, Nan Ma, Mei Li, and Keding Lu
EGUsphere, https://doi.org/10.5194/egusphere-2025-1835, https://doi.org/10.5194/egusphere-2025-1835, 2025
Short summary
Short summary
We studied vehicle emissions from 10 3000-metre tunnels in the Qinghai-Tibet plateau. Since low pressure causes fuel evaporation, emissions of volatile organic compounds rise with elevation, unlike in low-altitude areas where exhaust gas is predominant. This indicates the need for specific emission control measures. Electric vehicles can use renewable energy in Tibet to reduce emissions. The study aims to understand emissions at high altitudes and guide cleaner transport.
Ye Kuang, Biao Luo, Shan Huang, Junwen Liu, Weiwei Hu, Yuwen Peng, Duohong Chen, Dingli Yue, Wanyun Xu, Bin Yuan, and Min Shao
Atmos. Chem. Phys., 25, 3737–3752, https://doi.org/10.5194/acp-25-3737-2025, https://doi.org/10.5194/acp-25-3737-2025, 2025
Short summary
Short summary
This research reveals the potential importance of nighttime NO3 radical chemistry and aerosol water in the rapid formation of secondary brown carbon from diluted biomass burning emissions. The findings enhance our understanding of nighttime biomass burning evolution and its implications for climate and regional air quality, especially regarding interactions with background aerosol water and water-rich fogs and clouds.
Chujun Chen, Weihua Chen, Linhao Guo, Yongkang Wu, Xianzhong Duan, Xuemei Wang, and Min Shao
EGUsphere, https://doi.org/10.5194/egusphere-2025-687, https://doi.org/10.5194/egusphere-2025-687, 2025
Short summary
Short summary
Background O3 forms the baseline level of O3 pollution, even without local human activities. This review examines how background O3 is defined and estimated, revealing significant variations across China, with higher level in the Northwest and lower in the Northeast region. Globally, China’s background O3 levels are medium-to-high and rising. The study calls for integrated estimation methods, international collaboration, and research on climate-ozone links to improve air quality strategies.
Xiao-Bing Li, Bin Yuan, Yibo Huangfu, Suxia Yang, Xin Song, Jipeng Qi, Xianjun He, Sihang Wang, Yubin Chen, Qing Yang, Yongxin Song, Yuwen Peng, Guiqian Tang, Jian Gao, Dasa Gu, and Min Shao
Atmos. Chem. Phys., 25, 2459–2472, https://doi.org/10.5194/acp-25-2459-2025, https://doi.org/10.5194/acp-25-2459-2025, 2025
Short summary
Short summary
Online vertical gradient measurements of volatile organic compounds (VOCs), ozone, and NOx were conducted based on a 325 m tall tower in urban Beijing. Vertical changes in the concentrations, compositions, key drivers, and environmental impacts of VOCs were analyzed in this study. We find that VOC species display differentiated vertical variation patterns and distinct roles in contributing to photochemical ozone formation with increasing height in the urban planetary boundary layer.
Mingfu Cai, Chenshuo Ye, Bin Yuan, Shan Huang, E Zheng, Suxia Yang, Zelong Wang, Yi Lin, Tiange Li, Weiwei Hu, Wei Chen, Qicong Song, Wei Li, Yuwen Peng, Baoling Liang, Qibin Sun, Jun Zhao, Duohong Chen, Jiaren Sun, Zhiyong Yang, and Min Shao
Atmos. Chem. Phys., 24, 13065–13079, https://doi.org/10.5194/acp-24-13065-2024, https://doi.org/10.5194/acp-24-13065-2024, 2024
Short summary
Short summary
This study investigated the daytime secondary organic aerosol (SOA) formation in urban plumes. We observed a significant daytime SOA formation through gas–particle partitioning when the site was affected by urban plumes. A box model simulation indicated that urban pollutants (nitrogen oxide and volatile organic compounds) could enhance the oxidizing capacity, while the elevated volatile organic compounds were mainly responsible for promoting daytime SOA formation.
Jun Zhou, Chunsheng Zhang, Aiming Liu, Bin Yuan, Yan Wang, Wenjie Wang, Jie-Ping Zhou, Yixin Hao, Xiao-Bing Li, Xianjun He, Xin Song, Yubin Chen, Suxia Yang, Shuchun Yang, Yanfeng Wu, Bin Jiang, Shan Huang, Junwen Liu, Yuwen Peng, Jipeng Qi, Minhui Deng, Bowen Zhong, Yibo Huangfu, and Min Shao
Atmos. Chem. Phys., 24, 9805–9826, https://doi.org/10.5194/acp-24-9805-2024, https://doi.org/10.5194/acp-24-9805-2024, 2024
Short summary
Short summary
In-depth understanding of the near-ground vertical variability in photochemical ozone (O3) formation is crucial for mitigating O3 pollution. Utilizing a self-built vertical observation system, a direct net photochemical O3 production rate detection system, and an observation-based model, we diagnosed the vertical distributions and formation mechanism of net photochemical O3 production rates and sensitivity in the Pearl River Delta region, one of the most O3-polluted areas in China.
Sihang Wang, Bin Yuan, Xianjun He, Ru Cui, Xin Song, Yubin Chen, Caihong Wu, Chaomin Wang, Yibo Huangfu, Xiao-Bing Li, Boguang Wang, and Min Shao
Atmos. Chem. Phys., 24, 7101–7121, https://doi.org/10.5194/acp-24-7101-2024, https://doi.org/10.5194/acp-24-7101-2024, 2024
Short summary
Short summary
Emissions of reactive organic gases from industrial volatile chemical product sources are measured. There are large differences among these industrial sources. We show that oxygenated species account for significant contributions to reactive organic gas emissions, especially for industrial sources utilizing water-borne chemicals.
Qing Yang, Xiao-Bing Li, Bin Yuan, Xiaoxiao Zhang, Yibo Huangfu, Lei Yang, Xianjun He, Jipeng Qi, and Min Shao
Atmos. Chem. Phys., 24, 6865–6882, https://doi.org/10.5194/acp-24-6865-2024, https://doi.org/10.5194/acp-24-6865-2024, 2024
Short summary
Short summary
Online vertical gradient measurements of formic and isocyanic acids were made based on a 320 m tower in a megacity. Vertical variations and sources of the two acids were analyzed in this study. We find that formic and isocyanic acids exhibited positive vertical gradients and were mainly contributed by photochemical formations. The formation of formic and isocyanic acids was also significantly enhanced in urban regions aloft.
Fangbing Li, Dan Dan Huang, Linhui Tian, Bin Yuan, Wen Tan, Liang Zhu, Penglin Ye, Douglas Worsnop, Ka In Hoi, Kai Meng Mok, and Yong Jie Li
Atmos. Meas. Tech., 17, 2415–2427, https://doi.org/10.5194/amt-17-2415-2024, https://doi.org/10.5194/amt-17-2415-2024, 2024
Short summary
Short summary
The responses of protonated, adduct, and fragmented ions of 21 volatile organic compounds (VOCs) were investigated with varying instrument settings and relative humidity (RH) in a Vocus proton-transfer-reaction mass spectrometer (PTR-MS). The protonated ions of most VOCs studied show < 15 % variation in sensitivity, except for some long-chain aldehydes. The relationship between sensitivity and PTR rate constant is complicated by the influences from ion transmission and protonated ion fraction.
Wenjie Wang, Bin Yuan, Hang Su, Yafang Cheng, Jipeng Qi, Sihang Wang, Wei Song, Xinming Wang, Chaoyang Xue, Chaoqun Ma, Fengxia Bao, Hongli Wang, Shengrong Lou, and Min Shao
Atmos. Chem. Phys., 24, 4017–4027, https://doi.org/10.5194/acp-24-4017-2024, https://doi.org/10.5194/acp-24-4017-2024, 2024
Short summary
Short summary
This study investigates the important role of unmeasured volatile organic compounds (VOCs) in ozone formation. Based on results in a megacity of China, we show that unmeasured VOCs can contribute significantly to ozone fomation and also influence the determination of ozone control strategy. Our results show that these unmeasured VOCs are mainly from human sources.
Liting Yang, Ming Chang, Shuping Situ, Weiwen Wang, and Xuemei Wang
EGUsphere, https://doi.org/10.5194/egusphere-2024-28, https://doi.org/10.5194/egusphere-2024-28, 2024
Preprint archived
Short summary
Short summary
The study aims to develop and apply the WRF-uEMEP model to simulate air quality at the city scale, with a focus on Foshan, the city with the highest industrial density. The research process included model development, calibration, and validation using existing air quality data in Foshan. Research shows that WRF-uEMEP model effectively captures the impact of urban structure on air pollutant processes and reveals the spatial and temporal distribution of air pollutants in Foshan.
Yixin Hao, Jun Zhou, Jie-Ping Zhou, Yan Wang, Suxia Yang, Yibo Huangfu, Xiao-Bing Li, Chunsheng Zhang, Aiming Liu, Yanfeng Wu, Yaqing Zhou, Shuchun Yang, Yuwen Peng, Jipeng Qi, Xianjun He, Xin Song, Yubin Chen, Bin Yuan, and Min Shao
Atmos. Chem. Phys., 23, 9891–9910, https://doi.org/10.5194/acp-23-9891-2023, https://doi.org/10.5194/acp-23-9891-2023, 2023
Short summary
Short summary
By employing an improved net photochemical ozone production rate (NPOPR) detection system based on the dual-channel reaction chamber technique, we measured the net photochemical ozone production rate in the Pearl River Delta in China. The photochemical ozone formation mechanisms in the reaction and reference chambers were investigated using the observation-data-constrained box model, which helped us to validate the NPOPR detection system and understand photochemical ozone formation mechanism.
Yiyu Cai, Chenshuo Ye, Wei Chen, Weiwei Hu, Wei Song, Yuwen Peng, Shan Huang, Jipeng Qi, Sihang Wang, Chaomin Wang, Caihong Wu, Zelong Wang, Baolin Wang, Xiaofeng Huang, Lingyan He, Sasho Gligorovski, Bin Yuan, Min Shao, and Xinming Wang
Atmos. Chem. Phys., 23, 8855–8877, https://doi.org/10.5194/acp-23-8855-2023, https://doi.org/10.5194/acp-23-8855-2023, 2023
Short summary
Short summary
We studied the variability and molecular composition of ambient oxidized organic nitrogen (OON) in both gas and particle phases using a state-of-the-art online mass spectrometer in urban air. Biomass burning and secondary formation were found to be the two major sources of OON. Daytime nitrate radical chemistry for OON formation was more important than previously thought. Our results improved the understanding of the sources and molecular composition of OON in the polluted urban atmosphere.
Kevin J. Nihill, Matthew M. Coggon, Christopher Y. Lim, Abigail R. Koss, Bin Yuan, Jordan E. Krechmer, Kanako Sekimoto, Jose L. Jimenez, Joost de Gouw, Christopher D. Cappa, Colette L. Heald, Carsten Warneke, and Jesse H. Kroll
Atmos. Chem. Phys., 23, 7887–7899, https://doi.org/10.5194/acp-23-7887-2023, https://doi.org/10.5194/acp-23-7887-2023, 2023
Short summary
Short summary
In this work, we collect emissions from controlled burns of biomass fuels that can be found in the western United States into an environmental chamber in order to simulate their oxidation as they pass through the atmosphere. These findings provide a detailed characterization of the composition of the atmosphere downwind of wildfires. In turn, this will help to explore the effects of these changing emissions on downwind populations and will also directly inform atmospheric and climate models.
Yaqin Gao, Hongli Wang, Lingling Yuan, Shengao Jing, Bin Yuan, Guofeng Shen, Liang Zhu, Abigail Koss, Yingjie Li, Qian Wang, Dan Dan Huang, Shuhui Zhu, Shikang Tao, Shengrong Lou, and Cheng Huang
Atmos. Chem. Phys., 23, 6633–6646, https://doi.org/10.5194/acp-23-6633-2023, https://doi.org/10.5194/acp-23-6633-2023, 2023
Short summary
Short summary
A near-complete speciation of reactive organic gases from residential combustion was developed to get more insights into their atmospheric effects. Oxygenated species, higher hydrocarbons and nitrogen-containing species played larger roles in these emissions compared with common hydrocarbons. Based on the near-complete speciation, these emissions were largely underestimated, leading to more underestimation of their hydroxyl radical reactivity and secondary organic aerosol formation potential.
Juan Hong, Min Tang, Qiaoqiao Wang, Nan Ma, Shaowen Zhu, Shaobin Zhang, Xihao Pan, Linhong Xie, Guo Li, Uwe Kuhn, Chao Yan, Jiangchuan Tao, Ye Kuang, Yao He, Wanyun Xu, Runlong Cai, Yaqing Zhou, Zhibin Wang, Guangsheng Zhou, Bin Yuan, Yafang Cheng, and Hang Su
Atmos. Chem. Phys., 23, 5699–5713, https://doi.org/10.5194/acp-23-5699-2023, https://doi.org/10.5194/acp-23-5699-2023, 2023
Short summary
Short summary
A comprehensive investigation of the characteristics of new particle formation (NPF) events was conducted at a rural site on the North China Plain (NCP), China, during the wintertime of 2018 by covering the particle number size distribution down to sub–3 nm. Potential mechanisms for NPF under the current environment were explored, followed by a further discussion on the factors governing the occurrence of NPF at this rural site compared with other regions (e.g., urban areas) in the NCP region.
Tingting Feng, Yingkun Wang, Weiwei Hu, Ming Zhu, Wei Song, Wei Chen, Yanyan Sang, Zheng Fang, Wei Deng, Hua Fang, Xu Yu, Cheng Wu, Bin Yuan, Shan Huang, Min Shao, Xiaofeng Huang, Lingyan He, Young Ro Lee, Lewis Gregory Huey, Francesco Canonaco, Andre S. H. Prevot, and Xinming Wang
Atmos. Chem. Phys., 23, 611–636, https://doi.org/10.5194/acp-23-611-2023, https://doi.org/10.5194/acp-23-611-2023, 2023
Short summary
Short summary
To investigate the impact of aging processes on organic aerosols (OA), we conducted a comprehensive field study at a continental remote site using an on-line mass spectrometer. The results show that OA in the Chinese outflows were strongly influenced by upwind anthropogenic emissions. The aging processes can significantly decrease the OA volatility and result in a varied viscosity of OA under different circumstances, signifying the complex physiochemical properties of OA in aged plumes.
Yongkang Wu, Weihua Chen, Yingchang You, Qianqian Xie, Shiguo Jia, and Xuemei Wang
Atmos. Chem. Phys., 23, 453–469, https://doi.org/10.5194/acp-23-453-2023, https://doi.org/10.5194/acp-23-453-2023, 2023
Short summary
Short summary
Relying on observed and simulated data, we determine the spatiotemporal characteristics of nocturnal O3 increase (NOI) events in the Pearl River Delta region during 2006–2019. Low-level jets and convective storms are the main meteorological processes causing NOI. Daytime O3 is another essential influencing factor. More importantly, a more prominent role of meteorological processes in NOI has been demonstrated. Our study highlights the important role of meteorology in nocturnal O3 pollution.
Yubin Chen, Bin Yuan, Chaomin Wang, Sihang Wang, Xianjun He, Caihong Wu, Xin Song, Yibo Huangfu, Xiao-Bing Li, Yijia Liao, and Min Shao
Atmos. Meas. Tech., 15, 6935–6947, https://doi.org/10.5194/amt-15-6935-2022, https://doi.org/10.5194/amt-15-6935-2022, 2022
Short summary
Short summary
In this study, we demonstrate that selective online measurements of cycloalkanes can be achieved using proton transfer reaction time-of-flight mass spectrometry with NO+ chemical ionization (NO+ PTR-ToF-MS), with fast response and low detection limits. Applications of this method in both urban air and emission sources will be shown.
Haichao Wang, Bin Yuan, E Zheng, Xiaoxiao Zhang, Jie Wang, Keding Lu, Chenshuo Ye, Lei Yang, Shan Huang, Weiwei Hu, Suxia Yang, Yuwen Peng, Jipeng Qi, Sihang Wang, Xianjun He, Yubin Chen, Tiange Li, Wenjie Wang, Yibo Huangfu, Xiaobing Li, Mingfu Cai, Xuemei Wang, and Min Shao
Atmos. Chem. Phys., 22, 14837–14858, https://doi.org/10.5194/acp-22-14837-2022, https://doi.org/10.5194/acp-22-14837-2022, 2022
Short summary
Short summary
We present intensive field measurement of ClNO2 in the Pearl River Delta in 2019. Large variation in the level, formation, and atmospheric impacts of ClNO2 was found in different air masses. ClNO2 formation was limited by the particulate chloride (Cl−) and aerosol surface area. Our results reveal that Cl− originated from various anthropogenic emissions rather than sea sources and show minor contribution to the O3 pollution and photochemistry.
Biao Luo, Ye Kuang, Shan Huang, Qicong Song, Weiwei Hu, Wei Li, Yuwen Peng, Duohong Chen, Dingli Yue, Bin Yuan, and Min Shao
Atmos. Chem. Phys., 22, 12401–12415, https://doi.org/10.5194/acp-22-12401-2022, https://doi.org/10.5194/acp-22-12401-2022, 2022
Short summary
Short summary
We performed comprehensive analysis on biomass burning organic aerosol (BBOA) size distributions, as well as mass scattering and absorption efficiencies, with an improved method of on-line quantification of brown carbon absorptions. Both BBOA volume size distribution and retrieved refractive index depend highly on combustion conditions represented by the black carbon content, which has significant implications for BBOA climate effect simulations.
Xiao-Bing Li, Bin Yuan, Sihang Wang, Chunlin Wang, Jing Lan, Zhijie Liu, Yongxin Song, Xianjun He, Yibo Huangfu, Chenglei Pei, Peng Cheng, Suxia Yang, Jipeng Qi, Caihong Wu, Shan Huang, Yingchang You, Ming Chang, Huadan Zheng, Wenda Yang, Xuemei Wang, and Min Shao
Atmos. Chem. Phys., 22, 10567–10587, https://doi.org/10.5194/acp-22-10567-2022, https://doi.org/10.5194/acp-22-10567-2022, 2022
Short summary
Short summary
High-time-resolution measurements of volatile organic compounds (VOCs) were made using an online mass spectrometer at a 600 m tall tower in urban region. Compositions, temporal variations, and sources of VOCs were quantitatively investigated in this study. We find that VOC measurements in urban regions aloft could better characterize source characteristics of anthropogenic emissions. Our results could provide important implications in making future strategies for control of VOCs.
Sihang Wang, Bin Yuan, Caihong Wu, Chaomin Wang, Tiange Li, Xianjun He, Yibo Huangfu, Jipeng Qi, Xiao-Bing Li, Qing'e Sha, Manni Zhu, Shengrong Lou, Hongli Wang, Thomas Karl, Martin Graus, Zibing Yuan, and Min Shao
Atmos. Chem. Phys., 22, 9703–9720, https://doi.org/10.5194/acp-22-9703-2022, https://doi.org/10.5194/acp-22-9703-2022, 2022
Short summary
Short summary
Volatile organic compound (VOC) emissions from vehicles are measured using online mass spectrometers. Differences between gasoline and diesel vehicles are observed with higher emission factors of most oxygenated VOCs (OVOCs) and heavier aromatics from diesel vehicles. A higher aromatics / toluene ratio could provide good indicators to distinguish emissions from both vehicle types. We show that OVOCs account for significant contributions to VOC emissions from vehicles, especially diesel vehicles.
Yihang Yu, Peng Cheng, Huirong Li, Wenda Yang, Baobin Han, Wei Song, Weiwei Hu, Xinming Wang, Bin Yuan, Min Shao, Zhijiong Huang, Zhen Li, Junyu Zheng, Haichao Wang, and Xiaofang Yu
Atmos. Chem. Phys., 22, 8951–8971, https://doi.org/10.5194/acp-22-8951-2022, https://doi.org/10.5194/acp-22-8951-2022, 2022
Short summary
Short summary
We have investigated the budget of HONO at an urban site in Guangzhou. Budget and comprehensive uncertainty analysis suggest that at such locations as ours, HONO direct emissions and NO + OH can become comparable or even surpass other HONO sources that typically receive greater attention and interest, such as the NO2 heterogeneous source and the unknown daytime photolytic source. Our findings emphasize the need to reduce the uncertainties of both conventional and novel HONO sources and sinks.
Qi Zhang, Shiguo Jia, Weihua Chen, Jingying Mao, Liming Yang, Padmaja Krishnan, Sayantan Sarkar, Min Shao, and Xuemei Wang
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2022-394, https://doi.org/10.5194/acp-2022-394, 2022
Revised manuscript not accepted
Short summary
Short summary
We use satellite data in the establishment of methylamines marine biological emission (MBE) inventory for the first time, which considers effects of actual marine environment on methylamines emission fluxes. MBE fluxes of monomethylamine and trimethylamines can be comparable with or even higher than that of terrestrial anthropogenic emissions , while for dimethylamines, the ocean acts as a sink. Wind and Chlorophyll-a were potentially the most important factors affecting MBE fluxes.
Mingfu Cai, Shan Huang, Baoling Liang, Qibin Sun, Li Liu, Bin Yuan, Min Shao, Weiwei Hu, Wei Chen, Qicong Song, Wei Li, Yuwen Peng, Zelong Wang, Duohong Chen, Haobo Tan, Hanbin Xu, Fei Li, Xuejiao Deng, Tao Deng, Jiaren Sun, and Jun Zhao
Atmos. Chem. Phys., 22, 8117–8136, https://doi.org/10.5194/acp-22-8117-2022, https://doi.org/10.5194/acp-22-8117-2022, 2022
Short summary
Short summary
This study investigated the size dependence and diurnal variation in organic aerosol hygroscopicity, volatility, and cloud condensation nuclei (CCN) activity. We found that the physical properties of OA could vary in a large range at different particle sizes and affected the number concentration of CCN (NCCN) at all supersaturations. Our results highlight the importance of evaluating the atmospheric evolution processes of OA at different size ranges and their impact on climate effects.
Suxia Yang, Bin Yuan, Yuwen Peng, Shan Huang, Wei Chen, Weiwei Hu, Chenglei Pei, Jun Zhou, David D. Parrish, Wenjie Wang, Xianjun He, Chunlei Cheng, Xiao-Bing Li, Xiaoyun Yang, Yu Song, Haichao Wang, Jipeng Qi, Baolin Wang, Chen Wang, Chaomin Wang, Zelong Wang, Tiange Li, E Zheng, Sihang Wang, Caihong Wu, Mingfu Cai, Chenshuo Ye, Wei Song, Peng Cheng, Duohong Chen, Xinming Wang, Zhanyi Zhang, Xuemei Wang, Junyu Zheng, and Min Shao
Atmos. Chem. Phys., 22, 4539–4556, https://doi.org/10.5194/acp-22-4539-2022, https://doi.org/10.5194/acp-22-4539-2022, 2022
Short summary
Short summary
We use a model constrained using observations to study the formation of nitrate aerosol in and downwind of a representative megacity. We found different contributions of various chemical reactions to ground-level nitrate concentrations between urban and suburban regions. We also show that controlling VOC emissions are effective for decreasing nitrate formation in both urban and regional environments, although VOCs are not direct precursors of nitrate aerosol.
Wenjie Wang, Bin Yuan, Yuwen Peng, Hang Su, Yafang Cheng, Suxia Yang, Caihong Wu, Jipeng Qi, Fengxia Bao, Yibo Huangfu, Chaomin Wang, Chenshuo Ye, Zelong Wang, Baolin Wang, Xinming Wang, Wei Song, Weiwei Hu, Peng Cheng, Manni Zhu, Junyu Zheng, and Min Shao
Atmos. Chem. Phys., 22, 4117–4128, https://doi.org/10.5194/acp-22-4117-2022, https://doi.org/10.5194/acp-22-4117-2022, 2022
Short summary
Short summary
From thorough measurements of numerous oxygenated volatile organic compounds, we show that their photodissociation can be important for radical production and ozone formation in the atmosphere. This effect was underestimated in previous studies, as measurements of them were lacking.
Xiajie Yang, Qiaoqiao Wang, Nan Ma, Weiwei Hu, Yang Gao, Zhijiong Huang, Junyu Zheng, Bin Yuan, Ning Yang, Jiangchuan Tao, Juan Hong, Yafang Cheng, and Hang Su
Atmos. Chem. Phys., 22, 3743–3762, https://doi.org/10.5194/acp-22-3743-2022, https://doi.org/10.5194/acp-22-3743-2022, 2022
Short summary
Short summary
We use the GEOS-Chem model with additional anthropogenic and biomass burning chlorine emissions combined with updated parameterizations for N2O5 ＋ Cl chemistry to investigate the impacts of chlorine chemistry on air quality in China. Our study not only significantly improves the model's performance but also demonstrates the importance of non-sea-salt chlorine sources as well as an appropriate parameterization for N2O5 ＋ Cl chemistry to the impact of chlorine chemistry in China.
Jing Cao, Shuping Situ, Yufang Hao, Shaodong Xie, and Lingyu Li
Atmos. Chem. Phys., 22, 2351–2364, https://doi.org/10.5194/acp-22-2351-2022, https://doi.org/10.5194/acp-22-2351-2022, 2022
Short summary
Short summary
Based on localized emission factors and high-resolution vegetation data, we simulated the impacts of BVOC emissions on O3 and SOA during 1981–2018 in China. The interannual variation of BVOC emissions caused by increasing leaf biomass resulted in O3 and SOA concentrations increasing at average annual rates of 0.11 ppb and 0.008 μg m−3, respectively. The results show different variations which can be attributed to the different changing trends of leaf biomass by region and vegetation type.
Ming Chang, Jiachen Cao, Qi Zhang, Weihua Chen, Guotong Wu, Liping Wu, Weiwen Wang, and Xuemei Wang
Geosci. Model Dev., 15, 787–801, https://doi.org/10.5194/gmd-15-787-2022, https://doi.org/10.5194/gmd-15-787-2022, 2022
Short summary
Short summary
Despite the importance of nitrogen deposition, its simulation is still insufficiently represented in current atmospheric chemistry models. In this study, the improvement of the canopy stomatal resistance mechanism and the nitrogen-limiting schemes in Noah-MP-WDDM v1.42 give new options for simulating nitrogen dry deposition velocity. This study finds that the combined BN-23 mechanism agrees better with the observed NO2 dry deposition velocity, with the mean bias reduced by 50.1 %.
Ziwei Mo, Ru Cui, Bin Yuan, Huihua Cai, Brian C. McDonald, Meng Li, Junyu Zheng, and Min Shao
Atmos. Chem. Phys., 21, 13655–13666, https://doi.org/10.5194/acp-21-13655-2021, https://doi.org/10.5194/acp-21-13655-2021, 2021
Short summary
Short summary
There is a lack of detailed understanding of NMVOC emissions from the use of volatile chemical products (VCPs) in China. This study used a mass balance method to compile a long-term emission inventory for solvent use (including coatings, adhesives, inks, pesticides, cleaners and personal care products) in China during 2000–2017. The striking growth and recent trend of solvent use NMVOC emissions can give important implications for air quality modeling and NMVOC control strategies in China.
Zhiyong Wu, Leiming Zhang, John T. Walker, Paul A. Makar, Judith A. Perlinger, and Xuemei Wang
Geosci. Model Dev., 14, 5093–5105, https://doi.org/10.5194/gmd-14-5093-2021, https://doi.org/10.5194/gmd-14-5093-2021, 2021
Short summary
Short summary
A community dry deposition algorithm for modeling the gaseous dry deposition process in chemistry transport models was extended to include an additional 12 oxidized volatile organic compounds and hydrogen cyanide based on their physicochemical properties and was then evaluated using field flux measurements over a mixed forest. This study provides a useful tool that is needed in chemistry transport models with increasing complexity for simulating an important atmospheric process.
Luolin Wu, Jian Hang, Xuemei Wang, Min Shao, and Cheng Gong
Geosci. Model Dev., 14, 4655–4681, https://doi.org/10.5194/gmd-14-4655-2021, https://doi.org/10.5194/gmd-14-4655-2021, 2021
Short summary
Short summary
In order to investigate street-scale flow and air quality, this study has developed APFoam 1.0 to examine the reactive pollutant formation and dispersion in the urban area. The model has been validated and shows good agreement with wind tunnel experimental data. Model sensitivity cases reveal that vehicle emissions, background concentrations, and wind conditions are the key factors affecting the photochemical reaction process.
Benjamin A. Nault, Duseong S. Jo, Brian C. McDonald, Pedro Campuzano-Jost, Douglas A. Day, Weiwei Hu, Jason C. Schroder, James Allan, Donald R. Blake, Manjula R. Canagaratna, Hugh Coe, Matthew M. Coggon, Peter F. DeCarlo, Glenn S. Diskin, Rachel Dunmore, Frank Flocke, Alan Fried, Jessica B. Gilman, Georgios Gkatzelis, Jacqui F. Hamilton, Thomas F. Hanisco, Patrick L. Hayes, Daven K. Henze, Alma Hodzic, James Hopkins, Min Hu, L. Greggory Huey, B. Thomas Jobson, William C. Kuster, Alastair Lewis, Meng Li, Jin Liao, M. Omar Nawaz, Ilana B. Pollack, Jeffrey Peischl, Bernhard Rappenglück, Claire E. Reeves, Dirk Richter, James M. Roberts, Thomas B. Ryerson, Min Shao, Jacob M. Sommers, James Walega, Carsten Warneke, Petter Weibring, Glenn M. Wolfe, Dominique E. Young, Bin Yuan, Qiang Zhang, Joost A. de Gouw, and Jose L. Jimenez
Atmos. Chem. Phys., 21, 11201–11224, https://doi.org/10.5194/acp-21-11201-2021, https://doi.org/10.5194/acp-21-11201-2021, 2021
Short summary
Short summary
Secondary organic aerosol (SOA) is an important aspect of poor air quality for urban regions around the world, where a large fraction of the population lives. However, there is still large uncertainty in predicting SOA in urban regions. Here, we used data from 11 urban campaigns and show that the variability in SOA production in these regions is predictable and is explained by key emissions. These results are used to estimate the premature mortality associated with SOA in urban regions.
Ye Kuang, Shan Huang, Biao Xue, Biao Luo, Qicong Song, Wei Chen, Weiwei Hu, Wei Li, Pusheng Zhao, Mingfu Cai, Yuwen Peng, Jipeng Qi, Tiange Li, Sihang Wang, Duohong Chen, Dingli Yue, Bin Yuan, and Min Shao
Atmos. Chem. Phys., 21, 10375–10391, https://doi.org/10.5194/acp-21-10375-2021, https://doi.org/10.5194/acp-21-10375-2021, 2021
Short summary
Short summary
We found that organic aerosol factors with identified sources perform much better than oxidation level parameters in characterizing variations in organic aerosol hygroscopicity, and secondary aerosol formations associated with different sources have distinct effects on organic aerosol hygroscopicity. It reveals that source-oriented organic aerosol hygroscopicity investigations might result in more appropriate parameterization approaches in chemical and climate models.
Syuichi Itahashi, Baozhu Ge, Keiichi Sato, Zhe Wang, Junichi Kurokawa, Jiani Tan, Kan Huang, Joshua S. Fu, Xuemei Wang, Kazuyo Yamaji, Tatsuya Nagashima, Jie Li, Mizuo Kajino, Gregory R. Carmichael, and Zifa Wang
Atmos. Chem. Phys., 21, 8709–8734, https://doi.org/10.5194/acp-21-8709-2021, https://doi.org/10.5194/acp-21-8709-2021, 2021
Short summary
Short summary
This study presents the detailed analysis of acid deposition over southeast Asia based on the Model Inter-Comparison Study for Asia (MICS-Asia) phase III. Simulated wet deposition is evaluated with observation data from the Acid Deposition Monitoring Network in East Asia (EANET). The difficulties of models to capture observations are related to the model performance on precipitation. The precipitation-adjusted approach was applied, and the distribution of wet deposition was successfully revised.
Mingfu Cai, Baoling Liang, Qibin Sun, Li Liu, Bin Yuan, Min Shao, Shan Huang, Yuwen Peng, Zelong Wang, Haobo Tan, Fei Li, Hanbin Xu, Duohong Chen, and Jun Zhao
Atmos. Chem. Phys., 21, 8575–8592, https://doi.org/10.5194/acp-21-8575-2021, https://doi.org/10.5194/acp-21-8575-2021, 2021
Short summary
Short summary
This study investigated the contribution of new particle formation (NPF) events to the number concentration of cloud condensation nuclei (NCCN) and its controlling factors in the Pearl River Delta region. The results show that the surfactant effect can decrease the critical diameter and significantly increase the NCCN during the NPF event. In addition, the growth rate is founded to be the most important controlling factor that affects NCCN for growth of newly-formed particles to the CCN sizes.
Chenshuo Ye, Bin Yuan, Yi Lin, Zelong Wang, Weiwei Hu, Tiange Li, Wei Chen, Caihong Wu, Chaomin Wang, Shan Huang, Jipeng Qi, Baolin Wang, Chen Wang, Wei Song, Xinming Wang, E Zheng, Jordan E. Krechmer, Penglin Ye, Zhanyi Zhang, Xuemei Wang, Douglas R. Worsnop, and Min Shao
Atmos. Chem. Phys., 21, 8455–8478, https://doi.org/10.5194/acp-21-8455-2021, https://doi.org/10.5194/acp-21-8455-2021, 2021
Short summary
Short summary
We performed measurements of gaseous and particulate organic compounds using a state-of-the-art online mass spectrometer in urban air. Using the dataset, we provide a holistic chemical characterization of oxygenated organic compounds in the polluted urban atmosphere, which can serve as a reference for the future field measurements of organic compounds in cities.
Wenjie Wang, Jipeng Qi, Jun Zhou, Bin Yuan, Yuwen Peng, Sihang Wang, Suxia Yang, Jonathan Williams, Vinayak Sinha, and Min Shao
Atmos. Meas. Tech., 14, 2285–2298, https://doi.org/10.5194/amt-14-2285-2021, https://doi.org/10.5194/amt-14-2285-2021, 2021
Short summary
Short summary
We designed a new reactor for measurements of OH reactivity (i.e., OH radical loss frequency) based on the comparative reactivity method under
high-NOx conditions, such as in cities. We performed a series of laboratory tests to evaluate the new reactor. The new reactor was used in the field and performed well in measuring OH reactivity in air influenced by upwind cities.
Caihong Wu, Chaomin Wang, Sihang Wang, Wenjie Wang, Bin Yuan, Jipeng Qi, Baolin Wang, Hongli Wang, Chen Wang, Wei Song, Xinming Wang, Weiwei Hu, Shengrong Lou, Chenshuo Ye, Yuwen Peng, Zelong Wang, Yibo Huangfu, Yan Xie, Manni Zhu, Junyu Zheng, Xuemei Wang, Bin Jiang, Zhanyi Zhang, and Min Shao
Atmos. Chem. Phys., 20, 14769–14785, https://doi.org/10.5194/acp-20-14769-2020, https://doi.org/10.5194/acp-20-14769-2020, 2020
Short summary
Short summary
Based on measurements from an online mass spectrometer, we quantify volatile organic compound (VOC) concentrations from numerous ions of the mass spectrometer, using information from laboratory-obtained calibration results. We find that most VOC concentrations are from oxygenated VOCs (OVOCs). We further show that these OVOCs also contribute significantly to OH reactivity. Our results suggest the important role of OVOCs in VOC emissions and chemistry in urban air.
Chaomin Wang, Bin Yuan, Caihong Wu, Sihang Wang, Jipeng Qi, Baolin Wang, Zelong Wang, Weiwei Hu, Wei Chen, Chenshuo Ye, Wenjie Wang, Yele Sun, Chen Wang, Shan Huang, Wei Song, Xinming Wang, Suxia Yang, Shenyang Zhang, Wanyun Xu, Nan Ma, Zhanyi Zhang, Bin Jiang, Hang Su, Yafang Cheng, Xuemei Wang, and Min Shao
Atmos. Chem. Phys., 20, 14123–14138, https://doi.org/10.5194/acp-20-14123-2020, https://doi.org/10.5194/acp-20-14123-2020, 2020
Short summary
Short summary
We utilized a novel online mass spectrometry method to measure the total concentration of higher alkanes at each carbon number at two different sites in China, allowing us to take into account SOA contributions from all isomers for higher alkanes. We found that higher alkanes account for significant fractions of SOA formation at the two sites. The contributions are comparable to or even higher than single-ring aromatics, the most-recognized SOA precursors in urban air.
Zhenhao Ling, Qianqian Xie, Min Shao, Zhe Wang, Tao Wang, Hai Guo, and Xuemei Wang
Atmos. Chem. Phys., 20, 11451–11467, https://doi.org/10.5194/acp-20-11451-2020, https://doi.org/10.5194/acp-20-11451-2020, 2020
Short summary
Short summary
The observation data from a receptor site in the Pearl River Delta region were analyzed by a photochemical box model with near-explicit chemical mechanisms (i.e., the Master Chemical Mechanism, MCM), improvements with reversible and irreversible heterogeneous processes of glyoxal and methylglyoxal, and the gas-particle partitioning of oxidation products in the present study.
Baozhu Ge, Syuichi Itahashi, Keiichi Sato, Danhui Xu, Junhua Wang, Fan Fan, Qixin Tan, Joshua S. Fu, Xuemei Wang, Kazuyo Yamaji, Tatsuya Nagashima, Jie Li, Mizuo Kajino, Hong Liao, Meigen Zhang, Zhe Wang, Meng Li, Jung-Hun Woo, Junichi Kurokawa, Yuepeng Pan, Qizhong Wu, Xuejun Liu, and Zifa Wang
Atmos. Chem. Phys., 20, 10587–10610, https://doi.org/10.5194/acp-20-10587-2020, https://doi.org/10.5194/acp-20-10587-2020, 2020
Short summary
Short summary
Performances of the simulated deposition for different reduced N (Nr) species in China were conducted with the Model Inter-Comparison Study for Asia. Results showed that simulated wet deposition of oxidized N was overestimated in northeastern China and underestimated in south China, but Nr was underpredicted in all regions by all models. Oxidized N has larger uncertainties than Nr, indicating that the chemical reaction process is one of the most importance factors affecting model performance.
Cited articles
Ayrey, E., Fraver, S., Kershaw Jr., J. A., Kenefic, L. S., Hayes, D., Weiskittel, A. R., and Roth, B. E.: Layer stacking: a novel algorithm for individual forest tree segmentation from LiDAR point clouds, Can. J. Remote Sens., 43, 16–27, 2017. a
Baghi, R., Helmig, D., Guenther, A., Duhl, T., and Daly, R.: Contribution of flowering trees to urban atmospheric biogenic volatile organic compound emissions, Biogeosciences, 9, 3777–3785, https://doi.org/10.5194/bg-9-3777-2012, 2012. a
Batista, C. E., Ye, J., Ribeiro, I. O., Guimarães, P. C., Medeiros, A. S., Barbosa, R. G., Oliveira, R. L., Duvoisin, S., Jardine, K. J., Gu, D., Guenther, A. B., McKinney, K. A., Martins, L. D., Souza, R. A. F., and Martin, S. T.: Intermediate-scale horizontal isoprene concentrations in the near-canopy forest atmosphere and implications for emission heterogeneity, P. Natl. Acad. Sci. USA, 116, 19318–19323, 2019. a
Brosy, C., Krampf, K., Zeeman, M., Wolf, B., Junkermann, W., Schäfer, K., Emeis, S., and Kunstmann, H.: Simultaneous multicopter-based air sampling and sensing of meteorological variables, Atmos. Meas. Tech., 10, 2773–2784, https://doi.org/10.5194/amt-10-2773-2017, 2017. a
Canaval, E., Millet, D. B., Zimmer, I., Nosenko, T., Georgii, E., Partoll, E. M., Fischer, L., Alwe, H. D., Kulmala, M., Karl, T., Schnitzler, J.-P., and Hansel, A.: Rapid conversion of isoprene photooxidation products in terrestrial plants, Communications Earth & Environment, 1, 1–9, 2020. a
Chen, W., Guenther, A. B., Wang, X., Chen, Y., Gu, D., Chang, M., Zhou, S., Wu, L., and Zhang, Y.: Regional to global biogenic isoprene emission responses to changes in vegetation from 2000 to 2015, J. Geophys. Res.-Atmos., 123, 3757–3771, 2018. a
Chen, W., Guenther, A. B., Jia, S., Mao, J., Yan, F., Wang, X., and Shao, M.: Synergistic effects of biogenic volatile organic compounds and soil nitric oxide emissions on summertime ozone formation in China, Sci. Total Environ., 828, 154218, https://doi.org/10.1016/j.scitotenv.2022.154218, 2022. a, b, c
Cheng, K., Su, Y., Guan, H., Tao, S., Ren, Y., Hu, T., Ma, K., Tang, Y., and Guo, Q.: Mapping China's planted forests using high resolution imagery and massive amounts of crowdsourced samples, ISPRS J. Photogramm., 196, 356–371, 2023. a
Contreras, M. A., Affleck, D., and Chung, W.: Evaluating tree competition indices as predictors of basal area increment in western Montana forests, Forest Ecol. Manag., 262, 1939–1949, 2011. a
Curtis, A., Helmig, D., Baroch, C., Daly, R., and Davis, S.: Biogenic volatile organic compound emissions from nine tree species used in an urban tree-planting program, Atmos. Environ., 95, 634–643, 2014. a
Dash, J. P., Watt, M. S., Pearse, G. D., Heaphy, M., and Dungey, H. S.: Assessing very high resolution UAV imagery for monitoring forest health during a simulated disease outbreak, ISPRS J. Photogramm., 131, 1–14, 2017. a
Dicke, M. and Baldwin, I. T.: The evolutionary context for herbivore-induced plant volatiles: beyond the “cry for help”, Trends Plant Sci., 15, 167–175, 2010. a
Fassnacht, F. E., Latifi, H., Stereńczak, K., Modzelewska, A., Lefsky, M., Waser, L. T., Straub, C., and Ghosh, A.: Review of studies on tree species classification from remotely sensed data, Remote Sens. Environ., 186, 64–87, 2016. a
Fitzky, A. C., Sandén, H., Karl, T., Fares, S., Calfapietra, C., Grote, R., Saunier, A., and Rewald, B.: The interplay between ozone and urban vegetation–BVOC emissions, ozone deposition, and tree ecophysiology, Frontiers in Forests and Global Change, 2, 50, https://doi.org/10.3389/ffgc.2019.00050, 2019. a
Gao, X., Zhang, H., Cai, X., Song, Y., and Kang, L.: VOCs fluxes analysis based on micrometeorological methods over litchi plantation in the Pearl River Delta, China, Acta Scientiarum Naturalium Universitatis Pekinensis, 47, 916–922, 2011. a
Ghirardo, A., Xie, J., Zheng, X., Wang, Y., Grote, R., Block, K., Wildt, J., Mentel, T., Kiendler-Scharr, A., Hallquist, M., Butterbach-Bahl, K., and Schnitzler, J.-P.: Urban stress-induced biogenic VOC emissions and SOA-forming potentials in Beijing, Atmos. Chem. Phys., 16, 2901–2920, https://doi.org/10.5194/acp-16-2901-2016, 2016. a
Guenther, A., Jiang, X., Shah, T., Huang, L., Kemball-Cook, S., and Yarwood, G.: Model of Emissions of Gases and Aerosol from Nature Version 3 (MEGAN3) for Estimating Biogenic Emissions, International Technical Meeting on Air Pollution Modelling and its Application, 187–192, 14–18 May 2018, Ottawa, ON, Canada, https://doi.org/10.1007/978-3-030-22055-6_29, 2018. a
Guenther, A. B., Jiang, X., Heald, C. L., Sakulyanontvittaya, T., Duhl, T., Emmons, L. K., and Wang, X.: The Model of Emissions of Gases and Aerosols from Nature version 2.1 (MEGAN2.1): an extended and updated framework for modeling biogenic emissions, Geosci. Model Dev., 5, 1471–1492, https://doi.org/10.5194/gmd-5-1471-2012, 2012. a, b
Hartley, A., MacBean, N., Georgievski, G., and Bontemps, S.: Uncertainty in plant functional type distributions and its impact on land surface models, Remote Sens. Environ., 203, 71–89, 2017. a
Heald, C. L. and Kroll, J.: The fuel of atmospheric chemistry: Toward a complete description of reactive organic carbon, Science Advances, 6, eaay8967, https://doi.org/10.1126/sciadv.aay8967, 2020. a
Henze, D. K., Seinfeld, J. H., Ng, N. L., Kroll, J. H., Fu, T.-M., Jacob, D. J., and Heald, C. L.: Global modeling of secondary organic aerosol formation from aromatic hydrocarbons: high- vs. low-yield pathways, Atmos. Chem. Phys., 8, 2405–2420, https://doi.org/10.5194/acp-8-2405-2008, 2008. a
Irimia, C., Costandache, M., Matei, M., and Lipan, M.: Discover the Wonderful World of Plants with the Help of Smart Devices, in: RoCHI – International Conference on Human-Computer Interaction, 73, 22–23 October 2020, Sibiu, Romania, https://doi.org/10.37789/rochi.2020.1.1.12, 2020. a
Isidorov, V., Zenkevich, I., and Ioffe, B.: Volatile organic compounds in solfataric gases, J. Atmos. Chem., 10, 329–340, 1990. a
Ismail, Z., Abdul Khanan, M., Omar, F., Abdul Rahman, M., and Mohd Salleh, M.: Evaluating error of lidar derived dem interpolation for vegetation area, Int. Arch. Photogramm., 42, https://doi.org/10.5194/isprs-archives-XLII-4-W1-141-2016, 2016. a
Jin, R.: Deep Learning at Alibaba., in: Twenty-Sixth International Joint Conference on Artificial Intelligence, 11–16, 19–25 August 2017, Melbourne, Australia, https://doi.org/10.24963/ijcai.2017/2, 2017. a, b
Jin, S., Sun, X., Wu, F., Su, Y., Li, Y., Song, S., Xu, K., Ma, Q., Baret, F., Jiang, D., Yanfeng, D., and Qinghua, G.: Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects, ISPRS J. Photogramm., 171, 202–223, 2021. a
Joly, A., Bonnet, P., Goëau, H., Barbe, J., Selmi, S., Champ, J., Dufour-Kowalski, S., Affouard, A., Carré, J., Molino, J.-F., Boujemaa, N., and Barthélémy, D.: A look inside the Pl@ntNet experience, Multimedia Syst., 22, 751–766, 2016. a
Kegge, W. and Pierik, R.: Biogenic volatile organic compounds and plant competition, Trends Plant Sci., 15, 126–132, 2010. a
Komenda, M. and Koppmann, R.: Monoterpene emissions from Scots pine (Pinus sylvestris): field studies of emission rate variabilities, J. Geophys. Res.-Atmos., 107, ACH–1, https://doi.org/10.1029/2001JD000691, 2002. a
Kumar, N., Belhumeur, P. N., Biswas, A., Jacobs, D. W., Kress, W. J., Lopez, I., and Soares, J. V. B.: Leafsnap: A Computer Vision System for Automatic Plant Species Identification, in: The 12th European Conference on Computer Vision (ECCV), 7–13 October 2012, Florence, Italy, https://doi.org/10.1007/978-3-642-33709-3_36, 2012. a
Laothawornkitkul, J., Taylor, J. E., Paul, N. D., and Hewitt, C. N.: Biogenic volatile organic compounds in the Earth system, New Phytol., 183, 27–51, 2009. a
Li, Y., Liu, B., Ye, J., Jia, T., Khuzestani, R. B., Sun, J. Y., Cheng, X., Zheng, Y., Li, X., Wu, C., Xin, J., Wu, Z., Tomoto, M. A., McKinney, K. A., Martin, S. T., Li, Y. J., and Chen, Q.: Unmanned Aerial Vehicle Measurements of Volatile Organic Compounds over a Subtropical Forest in China and Implications for Emission Heterogeneity, ACS Earth and Space Chemistry, 5, 247–256, 2021. a, b, c, d, e
Loreto, F., Dicke, M., Schnitzler, J.-P., and Turlings, T. C.: Plant volatiles and the environment, Plant Cell Environ., 37, 1905–1908, 2014. a
Ma, Q., Su, Y., and Guo, Q.: Comparison of canopy cover estimations from airborne LiDAR, aerial imagery, and satellite imagery, IEEE J. Sel. Top. Appl., 10, 4225–4236, 2017. a
Mäyrä, J., Keski-Saari, S., Kivinen, S., Tanhuanpää, T., Hurskainen, P., Kullberg, P., Poikolainen, L., Viinikka, A., Tuominen, S., Kumpula, T., and Vihervaara, P.: Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks, Remote Sens. Environ., 256, 112322, https://doi.org/10.1016/j.rse.2021.112322, 2021. a
Mellouki, A., Wallington, T., and Chen, J.: Atmospheric chemistry of oxygenated volatile organic compounds: impacts on air quality and climate, Chem. Rev., 115, 3984–4014, 2015. a
Michałowska, M. and Rapiński, J.: A Review of Tree Species Classification Based on Airborne LiDAR Data and Applied Classifiers, Remote Sens.-Basel, 13, 353, https://doi.org/10.3390/rs13030353, 2021. a, b
Nebiker, S., Annen, A., Scherrer, M., and Oesch, D.: A light-weight multispectral sensor for micro UAV–Opportunities for very high resolution airborne remote sensing, Int. Arch. Photogramm., 37, 1193–1200, 2008. a
Ran, L., Zhao, C. S., Xu, W. Y., Lu, X. Q., Han, M., Lin, W. L., Yan, P., Xu, X. B., Deng, Z. Z., Ma, N., Liu, P. F., Yu, J., Liang, W. D., and Chen, L. L.: VOC reactivity and its effect on ozone production during the HaChi summer campaign, Atmos. Chem. Phys., 11, 4657–4667, https://doi.org/10.5194/acp-11-4657-2011, 2011. a
Rüdiger, J., Tirpitz, J.-L., de Moor, J. M., Bobrowski, N., Gutmann, A., Liuzzo, M., Ibarra, M., and Hoffmann, T.: Implementation of electrochemical, optical and denuder-based sensors and sampling techniques on UAV for volcanic gas measurements: examples from Masaya, Turrialba and Stromboli volcanoes, Atmos. Meas. Tech., 11, 2441–2457, https://doi.org/10.5194/amt-11-2441-2018, 2018. a
Sarkar, C., Guenther, A. B., Park, J.-H., Seco, R., Alves, E., Batalha, S., Santana, R., Kim, S., Smith, J., Tóta, J., and Vega, O.: PTR-TOF-MS eddy covariance measurements of isoprene and monoterpene fluxes from an eastern Amazonian rainforest, Atmos. Chem. Phys., 20, 7179–7191, https://doi.org/10.5194/acp-20-7179-2020, 2020. a
Schneider, F. D., Morsdorf, F., Schmid, B., Petchey, O. L., Hueni, A., Schimel, D. S., and Schaepman, M. E.: Mapping functional diversity from remotely sensed morphological and physiological forest traits, Nat. Commun., 8, 1–12, 2017. a
Shakhatreh, H., Sawalmeh, A. H., Al-Fuqaha, A., Dou, Z., Almaita, E., Khalil, I., Othman, N. S., Khreishah, A., and Guizani, M.: Unmanned aerial vehicles (UAVs): A survey on civil applications and key research challenges, IEEE Access, 7, 48572–48634, 2019. a
Šimpraga, M., Takabayashi, J., and Holopainen, J. K.: Language of plants: where is the word?, J. Integr. Plant Biol., 58, 343–349, 2016. a
Šimpraga, M., Ghimire, R. P., Van Der Straeten, D., Blande, J. D., Kasurinen, A., Sorvari, J., Holopainen, T., Adriaenssens, S., Holopainen, J. K., and Kivimäenpää, M.: Unravelling the functions of biogenic volatiles in boreal and temperate forest ecosystems, Eur. J. For. Res., 138, 763–787, 2019. a
Simpson, J. and McPherson, E.: The tree BVOC index, Environ. Pollut., 159, 2088–2093, 2011. a
Situ, S., Guenther, A., Wang, X., Jiang, X., Turnipseed, A., Wu, Z., Bai, J., and Wang, X.: Impacts of seasonal and regional variability in biogenic VOC emissions on surface ozone in the Pearl River delta region, China, Atmos. Chem. Phys., 13, 11803–11817, https://doi.org/10.5194/acp-13-11803-2013, 2013. a
Situ, S., Wang, X., Guenther, A., Zhang, Y., Wang, X., Huang, M., Fan, Q., and Xiong, Z.: Uncertainties of isoprene emissions in the MEGAN model estimated for a coniferous and broad-leaved mixed forest in Southern China, Atmos. Environ., 98, 105–110, 2014. a
Steinbrecher, R., Smiatek, G., Köble, R., Seufert, G., Theloke, J., Hauff, K., Ciccioli, P., Vautard, R., and Curci, G.: Intra-and inter-annual variability of VOC emissions from natural and semi-natural vegetation in Europe and neighbouring countries, Atmos. Environ., 43, 1380–1391, 2009. a
Sylvain, J.-D., Drolet, G., and Brown, N.: Mapping dead forest cover using a deep convolutional neural network and digital aerial photography, ISPRS J. Photogramm., 156, 14–26, 2019. a
Tang, J., Chan, L., Chan, C., Li, Y., Chang, C., Liu, S., Wu, D., and Li, Y.: Characteristics and diurnal variations of NMHCs at urban, suburban, and rural sites in the Pearl River Delta and a remote site in South China, Atmos. Environ., 41, 8620–8632, https://doi.org/10.1016/j.atmosenv.2007.07.029, 2007. a
Tsimpidi, A. P., Trail, M., Hu, Y., Nenes, A., and Russell, A. G.: Modeling an air pollution episode in northwestern United States: Identifying the effect of nitrogen oxide and volatile organic compound emission changes on air pollutants formation using direct sensitivity analysis, J. Air Waste Manage., 62, 1150–1165, 2012. a
Villa, T. F., Gonzalez, F., Miljievic, B., Ristovski, Z. D., and Morawska, L.: An overview of small unmanned aerial vehicles for air quality measurements: Present applications and future prospectives, Sensors, 16, 1072, https://doi.org/10.3390/s16071072, 2016. a, b
Wang, H., Wu, Q., Guenther, A. B., Yang, X., Wang, L., Xiao, T., Li, J., Feng, J., Xu, Q., and Cheng, H.: A long-term estimation of biogenic volatile organic compound (BVOC) emission in China from 2001–2016: the roles of land cover change and climate variability, Atmos. Chem. Phys., 21, 4825–4848, https://doi.org/10.5194/acp-21-4825-2021, 2021. a
Wang, X., Situ, S., Chen, W., Zheng, J., Guenther, A., Fan, Q., and Chang, M.: Numerical model to quantify biogenic volatile organic compound emissions: The Pearl River Delta region as a case study, J. Environ. Sci., 46, 72–82, 2016. a
Wu, C., Liu, B., Wu, D., Yang, H., Mao, X., Tan, J., Liang, Y., Sun, J. Y., Xia, R., Sun, J., Guowen, H., Mei, L., Tao, D., Zhen, Z., and Yongjie, L.: Vertical profiling of black carbon and ozone using a multicopter unmanned aerial vehicle (UAV) in urban Shenzhen of South China, Sci. Total Environ., 801, 149689, https://doi.org/10.1016/j.scitotenv.2021.149689, 2021. a
Wu, F., Yu, Y., Sun, J., Zhang, J., Wang, J., Tang, G., and Wang, Y.: Characteristics, source apportionment and reactivity of ambient volatile organic compounds at Dinghu Mountain in Guangdong Province, China, Sci. Total Environ., 548–549, 347–359, https://doi.org/10.1016/j.scitotenv.2015.11.069, 2016. a
Wu, K., Yang, X., Chen, D., Gu, S., Lu, Y., Jiang, Q., Wang, K., Ou, Y., Qian, Y., Shao, P., and Lu, S.: Estimation of biogenic VOC emissions and their corresponding impact on ozone and secondary organic aerosol formation in China, Atmos. Res., 231, 104656, https://doi.org/10.1016/j.atmosres.2019.104656, 2020. a
You, H., Lei, P., Li, M., and Ruan, F.: Forest Species Classification Based on Three-dimensional Coordinate and Intensity Information of Airborne LiDAR Data with Random Forest Method, Int. Arch. Photogramm., 42, 117–123, 2020. a
Zhanhui, X., Shiyao, L., Ying, Z., Wenqin, T., Zhaofeng, C., Entao, Z., Jing, G., Di, Z., Jun, G., Gaoying, G., Chunpeng, G., Lulu, G., Jing, W., Chunyang, X., Chuan, P., Teng, Y., Mengqi, C., Weicheng, S., Jiantan, Z., Haotian, L., Chaoqun, B., Heqi, W., Jingchao, J., Jinzhou, W., Cui, X., and Keping, M.: Evaluation of the identification ability of eight commonly used plant identification application softwares in China, Biodiversity Science, 28, 524, https://doi.org/10.17520/biods.2019272, 2020. a, b, c
Zhao, Y., Im, J., Zhen, Z., and Zhao, Y.: Towards accurate individual tree parameters estimation in dense forest: optimized coarse-to-fine algorithms for registering UAV and terrestrial LiDAR data, Gisci. Remote Sens., 60, 2197281, https://doi.org/10.1080/15481603.2023.2197281, 2023. a
Short summary
Accurately estimating biogenic volatile organic compound (BVOC) emissions in forest ecosystems has been challenging. This research presents a framework that utilizes drone-based lidar, photogrammetry, and image recognition technologies to identify plant species and estimate BVOC emissions. The largest cumulative isoprene emissions were found in the Myrtaceae family, while those of monoterpenes were from the Rubiaceae family.
Accurately estimating biogenic volatile organic compound (BVOC) emissions in forest ecosystems...
