1
|
Huo Y, Yao D, Guo H. Differences in aerosol chemistry at a regional background site in Hong Kong before and during the COVID-19 pandemic. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 926:171990. [PMID: 38537818 DOI: 10.1016/j.scitotenv.2024.171990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 03/23/2024] [Accepted: 03/24/2024] [Indexed: 04/04/2024]
Abstract
Restrictions on human-related activities implemented in Hong Kong to curb the spread of the coronavirus disease 2019 (COVID-19) pandemic provided an opportunity to investigate the anthropogenic impact on organic aerosols (OA) composition. In this study, we conducted a comparative analysis of online measurements of non-refractory submicron particulate matters (NR-PM1) at a regional background site in Hong Kong, covering the periods before the COVID-19 control (November 2018) and during the COVID-19 control (October to November 2020), to investigate changes in OA sources and formation mechanisms. Among the measured NR-PM1 components, organics were the most dominant species with an average percentage of 51.0 ± 0.5 %, exceeding pre-control levels of 44.0 ± 0.7 %. Moreover, 88 % of the organics were attributed to oxygenated OA (OOA). Diurnal variations of all bulk components in NR-PM1 consistently showed afternoon peaks, indicating photochemical processes during COVID-19 control. Similar to the pre-restriction period, the positive matrix factorization (PMF) model showed that OOA was composed of three factors, including two less-oxidized oxygenated factors (LO-OOA1 and LO-OOA2) and one more-oxidized oxygenated factor (MO-OOA). The contribution of the LO-OOA2 factor remained small and stable during both sampling campaigns, which might imply background levels of OOA at this site. The formation of the two predominant components of organics (e.g., LO-OOA1 and MO-OOA) was further discussed. Compared with before control, observational evidence showed that the levels of MO-OOA exceeded LO-OOA1 during the control period, and the average concentration of odd oxygen (Ox = ozone + nitrogen dioxide) increased by 53 % during the COVID-19 control. Besides, the results showed that both LO-OOA1 and MO-OOA exhibited similar diurnal variations to Ox, and their concentrations generally enhanced with increasing Ox levels. This suggested that the formation of OOA was closely related to the photochemical oxidation processes when anthropogenic emissions were reduced. By correlating LO-OOA1 and MO-OOA with speciated OA markers, we found that the formation of LO-OOA1 remained associated with anthropogenic sources, while biogenic emissions contributed to the formation of MO-OOA during the COVID-19 control. Our findings highlight the interplay between emissions, atmospheric conditions, and aerosol composition, providing valuable insights to guide strategic decisions for future air quality improvement.
Collapse
Affiliation(s)
- Yunxi Huo
- Air Quality Studies, Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Dawen Yao
- School of Intelligent Systems Engineering, Sun Yat-Sen University, Shenzhen 518107, China
| | - Hai Guo
- Air Quality Studies, Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong, China.
| |
Collapse
|
2
|
Song J, Zhang Y, Huang Y, Ho KF, Yuan Z, Ling Z, Niu X, Gao Y, Cui L, Louie PKK, Lee SC, Lai S. Seasonal variations of C 1-C 4 alkyl nitrates at a coastal site in Hong Kong: Influence of photochemical formation and oceanic emissions. CHEMOSPHERE 2018; 194:275-284. [PMID: 29216547 DOI: 10.1016/j.chemosphere.2017.11.104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2017] [Revised: 11/14/2017] [Accepted: 11/19/2017] [Indexed: 06/07/2023]
Abstract
Five C1-C4 alkyl nitrates (RONO2) were measured at a coastal site in Hong Kong in four selected months of 2011 and 2012. The total mixing ratios of C1-C4 RONO2 (Σ5RONO2) ranged from 15.4 to 143.7 pptv with an average of 65.9 ± 33.0 pptv. C3-C4 RONO2 (2-butyl nitrate and 2-propyl nitrate) were the most abundant RONO2 during the entire sampling period. The mixing ratios of C3-C4 RONO2 were higher in winter than those in summer, while the ones of methyl nitrate (MeONO2) were higher in summer than those in winter. Source analysis suggests that C2-C4 RONO2 were mainly derived from photochemical formation along with biomass burning (58.3-71.6%), while ocean was a major contributor to MeONO2 (53.8%) during the whole sampling period. The photochemical evolution of C2-C4 RONO2 was investigated, and found to be dominantly produced by the parent hydrocarbon oxidation. The notable enrichment of MeONO2 over C3-C4 RONO2 was observed in a summer episode when the air masses originating from the South China Sea (SCS) and MeONO2 was dominantly derived from oceanic emissions. In order to improve the accuracy of ozone (O3) prediction in coastal environment, the relative contribution of RONO2 from oceanic emissions versus photochemical formation and their coupling effects on O3 production should be taken into account in future studies.
Collapse
Affiliation(s)
- Junwei Song
- Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, School of Environment and Energy, South China University of Technology, Guangzhou, China
| | - Yingyi Zhang
- Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, School of Environment and Energy, South China University of Technology, Guangzhou, China
| | - Yu Huang
- Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong; Key Lab of Aerosol Chemistry & Physics, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, China
| | - Kin Fai Ho
- The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Sha Tin, Hong Kong
| | - Zibing Yuan
- Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, School of Environment and Energy, South China University of Technology, Guangzhou, China
| | - Zhenhao Ling
- School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou, China
| | - Xiaojun Niu
- Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, School of Environment and Energy, South China University of Technology, Guangzhou, China
| | - Yuan Gao
- Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong
| | - Long Cui
- Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong
| | - Peter K K Louie
- Hong Kong Environmental Protection Department, Wan Chai, Hong Kong
| | - Shun-Cheng Lee
- Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.
| | - Senchao Lai
- Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, School of Environment and Energy, South China University of Technology, Guangzhou, China.
| |
Collapse
|
3
|
Jiang B, Xia D, Zhang X. A multicomponent kinetic model established for investigation on atmospheric new particle formation mechanism in H 2SO 4-HNO 3-NH 3-VOC system. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 616-617:1414-1422. [PMID: 29066208 DOI: 10.1016/j.scitotenv.2017.10.174] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2017] [Revised: 09/29/2017] [Accepted: 10/17/2017] [Indexed: 06/07/2023]
Abstract
Secondary new particle formation (NPF) plays a significant role in atmospheric particulate matters (e.g., PM2.5), and has been studied over the past decades. However, the mechanism of NPF still remains ambiguous, setting significant barrier for PM2.5 mitigations, especially in complex atmosphere with multi-pollutants. Since the NPF process can hardly be observed directly by experiment methods due to the measuring limitations, a multicomponent kinetic model (MKM), which can be used to analyze the process and the mechanism of NPF in H2SO4-HNO3-NH3-VOC (Volatile Organic Compounds) system, has been developed in this paper. According to MKM, seven cases with initial concentrations of total precursor vapors (CPV) in the range of 107-108cm-3 were calculated to analyze the NPF process. Firstly, the 3nm particle (PM3nm) formation rate was calculated via MKM, which showed a good agreement with the previous measurements. Moreover, according to MKM calculation, it is found that the peak value of PM3nm formation rate, i.e., Jm, is proportional to [CPV]2, while the time at which Jm occurred, i.e., tm, is proportional to [CPV]-1/3, indicating that the increases in CPV would lead to a significant increase of Jm and decrease of tm. That's why NPF bursts immediately and PM2.5 pollution occurs suddenly in heavily pollutant areas. Afterwards, the roles of precursors in H2SO4-HNO3-NH3-VOC system were identified. It indicates that H2SO4, NH3 and VOC mainly contribute to the early stage of the NPF, while the growth of the nuclei is mainly driven by HNO3 and NH3. And HNO3 makes increasing contributions at the early stage of NPF with CPV rising (especially above 108cm-3). Thus in high CPV areas, especially for China, HNO3 should be paid the same attention as H2SO4, NH3 and VOC. The findings provide important implications for haze mitigations in China and other industrializing countries with multi-pollutant emission sources.
Collapse
Affiliation(s)
- Binfan Jiang
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Dehong Xia
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China; Beijing Key Laboratory of Energy Saving and Emission Reduction for Metallurgical Industry, University of Science and Technology Beijing, Beijing 100083, China.
| | - Xinru Zhang
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
| |
Collapse
|
4
|
Wang Z, Wu Z, Yue D, Shang D, Guo S, Sun J, Ding A, Wang L, Jiang J, Guo H, Gao J, Cheung HC, Morawska L, Keywood M, Hu M. New particle formation in China: Current knowledge and further directions. THE SCIENCE OF THE TOTAL ENVIRONMENT 2017; 577:258-266. [PMID: 27817924 DOI: 10.1016/j.scitotenv.2016.10.177] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2016] [Revised: 10/20/2016] [Accepted: 10/22/2016] [Indexed: 05/12/2023]
Abstract
New particle formation (NPF) studies have been conducted in China since 2004. Formation of new atmospheric aerosol particles has been observed to take place in diverse environments, even under the circumstances of high pre-existing particle loading, challenging the traditional and present understanding of the physicochemical nucleation mechanisms, which have been proposed based on the investigations in clean environments and under laboratory experimental conditions. This paper summarizes the present status and gaps in understanding NPF in China and discusses the main directions opening for future research.
Collapse
Affiliation(s)
- Zhibin Wang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Zhijun Wu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Dingli Yue
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Dongjie Shang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Song Guo
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Junying Sun
- State Key Laboratory of Severe Weather, Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China
| | - Aijun Ding
- Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
| | - Lin Wang
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP(3)), Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
| | - Jingkun Jiang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Hai Guo
- Air Quality Studies, Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Jian Gao
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Science, Beijing 100012, China
| | - Hing Cho Cheung
- Research Center for Environmental Changes, Academia Sinica, Taipei 11529, Taiwan
| | - Lidia Morawska
- International Laboratory for Air Quality and Health, Institute of Future Environments, Queensland University of Technology, Brisbane, QLD 4001, Australia
| | - Melita Keywood
- CSIRO Oceans & Atmosphere, PMB1, Aspendale, VIC 3195, Australia
| | - Min Hu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.
| |
Collapse
|