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Liu Y, He G, Chu B, Ma Q, He H. Atmospheric heterogeneous reactions on soot: A review. FUNDAMENTAL RESEARCH 2023; 3:579-591. [PMID: 38933550 PMCID: PMC11197571 DOI: 10.1016/j.fmre.2022.02.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 01/26/2022] [Accepted: 02/17/2022] [Indexed: 10/18/2022] Open
Abstract
Soot particles, composed of elemental carbon and organic compounds, have attracted widespread attention in recent years due to their significant impacts on climate, the environment and human health. Soot has been found to be chemically and physically active in atmospheric aging processes, which leads to alterations in its composition, morphology, hygroscopicity and optical properties and thus changes its environmental and health effects. The heterogeneous reactions on soot also have a significant impact on the transformation of gaseous pollutants into secondary aerosols. Therefore, the interactions between soot and atmospheric substances have been widely investigated to better understand the environmental behaviors of soot. In this review, we systematically summarize the progress and developments in the heterogeneous chemistry on soot over the past 30 years. Atmospheric trace constituents such as NO2, O3, SO2, N2O5, HNO3, H2SO4, OH radical, HO2 radical, peroxyacetyl nitrate etc., are presented in detail from the aspect of their heterogeneous reactions on soot. The possible mechanisms and the effects of environmental conditions on these heterogeneous reactions are also addressed. Further, the impacts of the heterogeneous reactions of soot on the atmospheric environment are discussed, and some aspects of soot-related research which require further investigation are proposed as well.
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Affiliation(s)
- Yuan Liu
- State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Guangzhi He
- State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Biwu Chu
- State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- Center for Excellence in Regional Atmospheric Environment and Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qingxin Ma
- State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- Center for Excellence in Regional Atmospheric Environment and Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hong He
- State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- Center for Excellence in Regional Atmospheric Environment and Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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Qu Y, Wang T, Yuan C, Wu H, Gao L, Huang C, Li Y, Li M, Xie M. The underlying mechanisms of PM 2.5 and O 3 synergistic pollution in East China: Photochemical and heterogeneous interactions. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 873:162434. [PMID: 36841413 DOI: 10.1016/j.scitotenv.2023.162434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 02/16/2023] [Accepted: 02/20/2023] [Indexed: 06/18/2023]
Abstract
The rapid development of Chinese cities is accompanied by air pollution. Although the implementation of air pollution control strategies in recent years has alleviated PM2.5 pollution, O3 pollution and the synergistic pollution of PM2.5 and O3 have become more serious. To understand the underlying chemical interaction mechanisms between PM2.5 and O3, we applied the modified Weather Research and Forecasting model with Chemistry (WRF-Chem) to study the effects of aerosol-photolysis feedback and heterogeneous reactions on the two pollutants and revealed the contribution of different mechanisms in different seasons and regions in Yangtze River Delta (YRD) in eastern China. We found that, through the aerosol-photolysis feedback, PM2.5 decreased the surface photolysis rates JNO2 and JO1D, resulting in a decrease in O3 concentration in the VOC-sensitive area and a slight increase in the NOx-sensitive area. The heterogeneous reactions reduced O3 concentration in the YRD in spring, autumn and winter by consuming HxOy. While in summer, the heterogeneous absorption of NOx decreased O3 in the NOx-sensitive areas and increased O3 in the VOC-sensitive areas. Heterogeneous reactions also promoted the secondary formation of fine sulfate and nitrate aerosols, especially in winter. Through the combined effect of two chemical processes, PM2.5 can lead to a decrease in O3 concentration of -3.3 ppb (-7.6 %), -2.2 ppb (-4.0 %), -2.9 ppb (-6.3 %), and - 5.9 ppb (-18.7 %), in spring, summer, autumn and winter in YRD. Therefore, if the PM2.5 concentration decreases, the weakening effect of PM2.5 on the ozone concentration will be reduced, resulting in the aggravation of ozone pollution. This study is important for understanding the synergistic pollution mechanism and provides a scientific basis for the coordinated control of urban air pollution.
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Affiliation(s)
- Yawei Qu
- College of Intelligent Science and Control Engineering, Jinling Institute of Technology, Nanjing 211169, China; Key Laboratory of Meteorological Disaster (KLME), Ministry of Education & Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing 210044, China.
| | - Tijian Wang
- School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China.
| | - Cheng Yuan
- Key Laboratory of Meteorological Disaster (KLME), Ministry of Education & Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing 210044, China; Emergency Management College, Nanjing University of Information Science & Technology, Nanjing 210044, China.
| | - Hao Wu
- Key Laboratory of Transportation Meteorology of China Meteorological Administration, Nanjing Joint Institute for Atmospheric Sciences, Nanjing 210041, China.
| | - Libo Gao
- Jiangsu Meteorological Observatory, Nanjing 210041, China.
| | - Congwu Huang
- Faculty of Resources and Environmental Science, Hubei University, Wuhan 430062, China.
| | - Yasong Li
- School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China.
| | - Mengmeng Li
- School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China.
| | - Min Xie
- School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China.
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He S, Wang S, Zhang S, Zhu J, Sun Z, Xue R, Zhou B. Vertical distributions of atmospheric HONO and the corresponding OH radical production by photolysis at the suburb area of Shanghai, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 858:159703. [PMID: 36306851 DOI: 10.1016/j.scitotenv.2022.159703] [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: 08/11/2022] [Revised: 10/20/2022] [Accepted: 10/21/2022] [Indexed: 06/16/2023]
Abstract
Nitrous acid (HONO) is considered as one of the main sources of the hydroxyl radical (OH), the most relevant oxidant in the atmosphere. Multi-AXis-Differential Optical Absorption Spectroscopy (MAX-DOAS) measurements were conducted to obtain the vertical profiles of aerosol and HONO from November 1, 2020 to January 31, 2021 at a suburb site of Shanghai, China. HONO was mainly distributed near the surface, but high values HONO occasionally occurred around 0.7 km, indicating an unaccounted source of daytime HONO at high altitudes. The positive correlation between HONO and aerosols suggested that the photo-enhanced heterogeneous reactions on the aerosol surface were an important source of daytime HONO at high altitudes. To obtain the vertical distribution of OH production by HONO photolysis (P(OH)HONO), the vertical profiles of photolysis rate of HONO (JHONO) were calculated by establishing a method of combining observations with empirical relationship based on heterogeneous atmospheric and radiative transfer models. The JHONO increased approximately linearly with increasing altitudes and the noontime averages value of JHONO near the ground were 6.68 × 10-4 s-1, which was strongly negatively affected by aerosols in the morning and afternoon. The P(OH)HONO profile varied in different months (November, December, January) that the changes were mainly affected by HONO and JHONO. P(OH)HONO was more positively affected by JHONO at high altitude and noon but greatly influenced by HONO concentrations in the morning and afternoon.
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Affiliation(s)
- Siyu He
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP(3)), Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
| | - Shanshan Wang
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP(3)), Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China; Institute of Eco-Chongming (IEC), No. 20 Cuiniao Road, Shanghai 202162, China.
| | - Sanbao Zhang
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP(3)), Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
| | - Jian Zhu
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP(3)), Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
| | - Zhibin Sun
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP(3)), Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
| | - Ruibin Xue
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP(3)), Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
| | - Bin Zhou
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP(3)), Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China; Institute of Eco-Chongming (IEC), No. 20 Cuiniao Road, Shanghai 202162, China; Institute of Atmospheric Sciences, Fudan University, Shanghai 200433, China
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4
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Gao J, Li Y, Xie Z, Wang L, Hu B, Bao F. Which aerosol type dominate the impact of aerosols on ozone via changing photolysis rates? THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 854:158580. [PMID: 36075440 DOI: 10.1016/j.scitotenv.2022.158580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 09/01/2022] [Accepted: 09/03/2022] [Indexed: 06/15/2023]
Abstract
The impact of aerosols on ozone via influencing photolysis rates is a combined effect of absorbing aerosols (AA) and scattering aerosols (SA). However, AA and SA show different optical properties and influence photolysis rates differently, which then cause different impacts on ozone. Till now, the dominate factor is disconfirmed, which is largely due to the impact of SA on ozone not reaching to a consistent conclusion. In this study, the WRF-Chem model was implemented to simulate the air pollutants over the North China Plain (NCP). The impacts of AA and SA on ozone via influencing photolysis rates were quantitatively isolated and analyzed. Our results also demonstrated the decreasing effect of AA on ozone within planet boundary layer (PBL) which is consistent with the conclusions of previous studies. But for SA, it decreased the ozone chemical contribution (CHEM) near surface but increased which in the upper layers of PBL, that enlarge the ozone vertical gradients. In this case, more vertical exchanges of ozone would occur with the effect of vertical mixing motion of atmosphere, then the opposite CHEM variations were counteracted with each other and finally led to very slight changes in ozone within PBL. Thus, it can be summarized that AA dominate this impact of aerosols on ozone. Reducing AA could cause a general increase in ozone (ΔO3) over the NCP. Based on the aerosol levels of this case, ΔO3 would be seen over 86 % of the areas in the NCP when reducing AA by 3/4 and ΔO3 was more significant in the megacities. Our study highlights the different relationships between ozone and aerosol types, which suggests that more attentions should be paid on aerosol types, especially AA, when making the synergetic control strategy of aerosols and ozone in China.
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Affiliation(s)
- Jinhui Gao
- Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, China; Department of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, China; Center for the Oceanic and Atmospheric Science at SUSTech (COAST), Southern University of Science and Technology, Shenzhen, China
| | - Ying Li
- Department of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, China; Center for the Oceanic and Atmospheric Science at SUSTech (COAST), Southern University of Science and Technology, Shenzhen, China.
| | - Zhouqing Xie
- Department of Environmental Science and Engineering, University of Science and Technology of China, Hefei, China
| | - Lili Wang
- State Key Laboratory of Atmosphere Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
| | - Bo Hu
- State Key Laboratory of Atmosphere Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
| | - Fangwen Bao
- Department of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, China; Center for the Oceanic and Atmospheric Science at SUSTech (COAST), Southern University of Science and Technology, Shenzhen, China
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Dong J, Liu P, Song H, Yang D, Yang J, Song G, Miao C, Zhang J, Zhang L. Effects of anthropogenic precursor emissions and meteorological conditions on PM 2.5 concentrations over the "2+26" cities of northern China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 315:120392. [PMID: 36244499 DOI: 10.1016/j.envpol.2022.120392] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 10/02/2022] [Accepted: 10/05/2022] [Indexed: 06/16/2023]
Abstract
Elucidating the characteristics and influencing mechanisms of PM2.5 concentrations is the premise and key to the precise prevention and control of air pollution. However, the temporal and spatial heterogeneity of PM2.5 concentrations and its driving mechanism are complex and need to be further analyzed. We analyzed the temporal and spatial variations of PM2.5 concentrations in the "2 + 26" cities from 2015 to 2021, and quantified the influence of meteorological factors and anthropogenic emissions and their interactions on PM2.5 concentrations based on geographic detector model. We find the inter-annual and inter-season PM2.5 concentrations show downward trend from 2015 to 2021, and the inter-month PM2.5 concentrations present a U-shaped distribution. The PM2.5 concentrations in the "2 + 26" cities manifest a spatial distribution pattern of high in the south and low in the north, and high in the middle and low in the surroundings. Meteorological conditions have stronger effects on PM2.5 concentrations than anthropogenic emissions, and planetary boundary layer height and temperature are the two main driving factors at the annual scale. On the seasonal scale, sunshine duration is the dominant factor of PM2.5 concentrations in summer and autumn, and planetary boundary layer height is the dominant factor of PM2.5 concentrations in winter. The effect of anthropogenic emissions on PM2.5 concentration is higher in winter and spring than in summer and autumn, and ammonia and ozone have stronger effects on PM2.5 concentrations than other anthropogenic emissions. Interactions between the factors significantly enhance the PM2.5 concentrations. The interactions between planetary boundary layer height and other impacting factors play dominant roles on PM2.5 concentrations at annual scale and in winter. Our results not only provide crucial information for further developing air quality policies of the "2 + 26" cities, but also bear out several important implications for clean air policies in China and other regions of the world.
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Affiliation(s)
- Junwu Dong
- Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization of Henan Province, Henan University, Kaifeng, 475004, China; College of Geography and Environmental Science, Henan University, Kaifeng, 475004, China; College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China.
| | - Pengfei Liu
- Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization of Henan Province, Henan University, Kaifeng, 475004, China; College of Geography and Environmental Science, Henan University, Kaifeng, 475004, China; Institute of Urban Big Data, College of Geography and Environmental Science, Henan University, Kaifeng, 475004, China.
| | - Hongquan Song
- College of Geography and Environmental Science, Henan University, Kaifeng, 475004, China; Institute of Urban Big Data, College of Geography and Environmental Science, Henan University, Kaifeng, 475004, China; Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng, 475004, China.
| | - Dongyang Yang
- Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization of Henan Province, Henan University, Kaifeng, 475004, China.
| | - Jie Yang
- Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization of Henan Province, Henan University, Kaifeng, 475004, China.
| | - Genxin Song
- College of Geography and Environmental Science, Henan University, Kaifeng, 475004, China.
| | - Changhong Miao
- Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization of Henan Province, Henan University, Kaifeng, 475004, China.
| | - Jiejun Zhang
- Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization of Henan Province, Henan University, Kaifeng, 475004, China.
| | - Longlong Zhang
- College of Geography and Environmental Science, Henan University, Kaifeng, 475004, China.
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6
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Schwantes RH, Lacey FG, Tilmes S, Emmons LK, Lauritzen PH, Walters S, Callaghan P, Zarzycki CM, Barth MC, Jo DS, Bacmeister JT, Neale RB, Vitt F, Kluzek E, Roozitalab B, Hall SR, Ullmann K, Warneke C, Peischl J, Pollack IB, Flocke F, Wolfe GM, Hanisco TF, Keutsch FN, Kaiser J, Bui TPV, Jimenez JL, Campuzano‐Jost P, Apel EC, Hornbrook RS, Hills AJ, Yuan B, Wisthaler A. Evaluating the Impact of Chemical Complexity and Horizontal Resolution on Tropospheric Ozone Over the Conterminous US With a Global Variable Resolution Chemistry Model. JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS 2022; 14:e2021MS002889. [PMID: 35864945 PMCID: PMC9286600 DOI: 10.1029/2021ms002889] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 02/24/2022] [Accepted: 04/24/2022] [Indexed: 05/19/2023]
Abstract
A new configuration of the Community Earth System Model (CESM)/Community Atmosphere Model with full chemistry (CAM-chem) supporting the capability of horizontal mesh refinement through the use of the spectral element (SE) dynamical core is developed and called CESM/CAM-chem-SE. Horizontal mesh refinement in CESM/CAM-chem-SE is unique and novel in that pollutants such as ozone are accurately represented at human exposure relevant scales while also directly including global feedbacks. CESM/CAM-chem-SE with mesh refinement down to ∼14 km over the conterminous US (CONUS) is the beginning of the Multi-Scale Infrastructure for Chemistry and Aerosols (MUSICAv0). Here, MUSICAv0 is evaluated and used to better understand how horizontal resolution and chemical complexity impact ozone and ozone precursors over CONUS as compared to measurements from five aircraft campaigns, which occurred in 2013. This field campaign analysis demonstrates the importance of using finer horizontal resolution to accurately simulate ozone precursors such as nitrogen oxides and carbon monoxide. In general, the impact of using more complex chemistry on ozone and other oxidation products is more pronounced when using finer horizontal resolution where a larger number of chemical regimes are resolved. Large model biases for ozone near the surface remain in the Southeast US as compared to the aircraft observations even with updated chemistry and finer horizontal resolution. This suggests a need for adding the capability of replacing sections of global emission inventories with regional inventories, increasing the vertical resolution in the planetary boundary layer, and reducing model biases in meteorological variables such as temperature and clouds.
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Shen H, Sun Z, Chen Y, Russell AG, Hu Y, Odman MT, Qian Y, Archibald AT, Tao S. Novel Method for Ozone Isopleth Construction and Diagnosis for the Ozone Control Strategy of Chinese Cities. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:15625-15636. [PMID: 34787397 DOI: 10.1021/acs.est.1c01567] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Ozone (O3) isopleths describe the nonlinear responses of O3 concentrations to changes in nitrogen oxides (NOX) and volatile organic compounds (VOCs) and thus are pivotal to the determination of O3 control requirements. In this study, we innovatively use the Community Multiscale Air Quality model with the high-order decoupled direct method (CMAQ-HDDM) to simulate O3 pollution of China in 2017 and derive O3 isopleths for individual cities. Our simulation covering the entire China Mainland suggests severe O3 pollution as 97% of the residents experienced at least 1 day, in 2017, in excess of Chinese Level-II Ambient Air Quality Standards for O3 as 160 μg·m-3 (81.5 ppbV equally). The O3 responses to emissions of precursors vary widely across individual cities. Densely populated metropolitan areas such as Jing-Jin-Ji, Yangtze River Delta, and Pearl River Delta are following NOX-saturated regimes, where a small amount of NOX reduction increases O3. Ambient O3 pollution in the eastern region generally is limited by VOCs, while in the west by NOX. The city-specific O3 isopleths generated in this study are instrumental in forming hybrid and differentiated strategies for O3 abatement in China.
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Affiliation(s)
- Huizhong Shen
- School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Zhe Sun
- Centre for Atmospheric Science, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, United Kingdom
| | - Yilin Chen
- School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Armistead G Russell
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Yongtao Hu
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Mehmet Talât Odman
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Yu Qian
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Alexander T Archibald
- Centre for Atmospheric Science, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, United Kingdom
| | - Shu Tao
- College of Urban and Environmental Sciences, Laboratory for Earth Surface Processes, Sino-French Institute for Earth System Science, Peking University, Beijing 100871, China
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8
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Chen LWA, Chow JC, Wang X, Cao J, Mao J, Watson JG. Brownness of Organic Aerosol over the United States: Evidence for Seasonal Biomass Burning and Photobleaching Effects. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:8561-8572. [PMID: 34129328 DOI: 10.1021/acs.est.0c08706] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Light-absorptivity of organic aerosol may play an important role in visibility and climate forcing, but it has not been assessed as extensively as black carbon (BC) aerosol. Based on multiwavelength thermal/optical analysis and spectral mass balance, this study quantifies BC for the U.S. Interagency Monitoring of Protected Visual Environments (IMPROVE) network while developing a brownness index (γBr) for non-BC organic carbon (OC*) to illustrate the spatiotemporal trends of light-absorbing brown carbon (BrC) content. OC* light absorption efficiencies range from 0 to 3.1 m2 gC-1 at 405 nm, corresponding to the lowest and highest BrC content of 0 and 100%, respectively. BC, OC*, and γBr explain >97% of the variability of measured spectral light absorption (405-980 nm) across 158 IMPROVE sites. Network-average OC* light absorptions at 405 nm are 50 and 28% those for BC over rural and urban areas, respectively. Larger organic fractions of light absorption occur in winter, partially due to higher organic brownness. Winter γBr exhibits a dramatic regional/urban-rural contrast consistent with anthropogenic BrC emissions from residential wood combustion. The spatial differences diminish to uniformly low γBr in summer, suggesting effective BrC photobleaching over the midlatitudes. An empirical relationship between BC, ambient temperature, and γBr is established, which can facilitate the incorporation of organic aerosol absorptivity into climate and visibility models that currently assume either zero or static organic light absorption efficiencies.
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Affiliation(s)
- Lung-Wen Antony Chen
- Department of Environmental and Occupational Health, School of Public Health, University of Nevada, Las Vegas, Las Vegas, Nevada 89154, United States
- Division of Atmospheric Sciences, Desert Research Institute, Reno, Nevada 89512, United States
| | - Judith C Chow
- Division of Atmospheric Sciences, Desert Research Institute, Reno, Nevada 89512, United States
- Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Xiaoliang Wang
- Division of Atmospheric Sciences, Desert Research Institute, Reno, Nevada 89512, United States
| | - Junji Cao
- Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Jingqiu Mao
- Department of Chemistry and Biochemistry, University of Alaska, Fairbanks, Alaska 99775, United States
| | - John G Watson
- Division of Atmospheric Sciences, Desert Research Institute, Reno, Nevada 89512, United States
- Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
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Ling C, Li Y. Substantial Changes of Gaseous Pollutants and Health Effects During the COVID-19 Lockdown Period Across China. GEOHEALTH 2021; 5:e2021GH000408. [PMID: 34084983 PMCID: PMC8144698 DOI: 10.1029/2021gh000408] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 04/15/2021] [Accepted: 05/03/2021] [Indexed: 05/09/2023]
Abstract
The human movement and economic activities have been drastically reduced due to the Coronavirus Disease 2019 (COVID-19) outbreak, leading to the sharp decreases of pollutant emissions and remarkable air quality improvement. Nevertheless, however, the changes of gaseous pollutant concentrations and health effects across China during the COVID-19 lockdown period remained poorly understood. Here, a random forest model was applied to assess the impact of COVID-19 lockdown on pollutant concentrations and potential health effects. The results suggested that estimated NO2, SO2, and CO concentrations in China during January 23-March 31, 2020 decreased by 13.68%, 25.71%, and 7.42%, respectively compared with the same periods in 2018-2019. Nonetheless, the predicted 8-h O3 concentrations across China suffered from 1.29% increases during this period. The avoided premature all-cause, cardiovascular disease (CVD), respiratory disease (RD), and chronic obstructive pulmonary disease (COPD) mortalities induced by NO2 decrease during COVID-19 lockdown period reached 3,954 (3,076-4,832), 635 (468-801), 612 (459-765), and 920 (653-1,186) cases. However, the increases of all-cause, CVD, RD, and COPD mortalities due to O3 increase during COVID-19 lockdown period achieved 462 (250-674), 79 (29-129), 40 (-25-105), and 52 (-34-138) cases. The natural experiment demonstrated the drastic emission reduction measures could significantly decrease the NO2, SO2, and CO concentrations, while they significantly elevated the O3 concentration. It is highly imperative to propose more coordinated air pollution control strategies to control O3 pollution.
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Affiliation(s)
- Chaohao Ling
- State Key Laboratory of Lake Science and EnvironmentNanjing Institute of Geography and LimnologyChinese Academy of SciencesNanjingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Yongfei Li
- Hunan Provincial Key Laboratory of Ecological TourismCollege of Tourism & Management ProjectJishou UniversityZhangjiajieChina
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10
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Validation and Calibration of CAMS PM2.5 Forecasts Using In Situ PM2.5 Measurements in China and United States. REMOTE SENSING 2020. [DOI: 10.3390/rs12223813] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
An accurate forecast of fine particulate matter (PM2.5) concentration in the forthcoming days is crucial since it can be used as an early warning for the prevention of general public from hazardous PM2.5 pollution events. Though the European Copernicus Atmosphere Monitoring Service (CAMS) provides global PM2.5 forecasts up to the next 120 h at a 3 h time interval, the data accuracy of this product had not been well evaluated. By using hourly PM2.5 concentration data that were sampled in China and United States (US) between 2017 and 2018, the data accuracy and bias levels of CAMS PM2.5 concentration forecast over these two countries were examined. Ground-based validation results indicate a relatively low accuracy of raw PM2.5 forecasts given the presence of large and spatially varied modeling biases, especially in northwest China and the western United States. Specifically, the PM2.5 forecasts in China showed a mean correlation value ranging 0.31–0.45 (0.24–0.42 in US) and RMSE of 38–83 (8.30–16.76 in US) μg/m3, as the forecasting time horizons increased from 3 h to 120 h. Additionally, the data accuracy was found to not only decrease with the increase of forecasting time horizons but also exhibit an evident diurnal cycle. This implies the current CAMS forecasting model failed to resolve the local processes that modulate the diurnal variability of PM2.5. Moreover, the data accuracy varied between seasons, as accurate PM2.5 forecasts were more likely to be derived in the autumn in China, whereas these were more likely in spring in the US. To improve the data accuracy of the raw PM2.5 forecasts, a statistical bias correction model was then established using the random forest method to account for large modeling biases. The cross-validation results clearly demonstrated the effectiveness and benefits of the proposed bias correction model, as the diurnal varied and temporally increasing modeling biases were substantially reduced after the calibration. Overall, the calibrated CAMS PM2.5 forecasts could be used as a promising data source to prevent general public from severe PM2.5 pollution events given the improved data accuracy.
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11
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Shi X, Brasseur GP. The Response in Air Quality to the Reduction of Chinese Economic Activities During the COVID-19 Outbreak. GEOPHYSICAL RESEARCH LETTERS 2020; 47:e2020GL088070. [PMID: 32836516 PMCID: PMC7267158 DOI: 10.1029/2020gl088070] [Citation(s) in RCA: 207] [Impact Index Per Article: 51.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 05/01/2020] [Accepted: 05/07/2020] [Indexed: 05/18/2023]
Abstract
During the COVID-19 outbreak that took place in early 2020, the economic activities in China were drastically reduced and accompanied by a strong reduction in the emission of primary air pollutants. On the basis of measurements made at the monitoring stations operated by the China National Environmental Monitoring Center, we quantify the reduction in surface PM2.5, NO2, CO, and SO2 concentrations in northern China during the lockdown, which started on 23 January 2020. We find that, on the average, the levels of surface PM2.5 and NO2 have decreased by approximately 35% and 60%, respectively, between the period 1 and 22 January 2020 and the period 23 January and 29 February 2020. At the same time, the mean ozone concentration has increased by a factor 1.5-2. In urban area of Wuhan, where drastic measures were adopted to limit the spread of the coronavirus, similar changes in the concentrations of PM2.5, NO2, and ozone are found.
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Affiliation(s)
- Xiaoqin Shi
- Max Planck Institute for MeteorologyHamburgGermany
| | - Guy P. Brasseur
- Max Planck Institute for MeteorologyHamburgGermany
- National Center for Atmospheric ResearchBoulderCOUSA
- Department of CEEThe Hong Kong Polytechnic UniversityHong KongChina
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12
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Bernhard GH, Neale RE, Barnes PW, Neale PJ, Zepp RG, Wilson SR, Andrady AL, Bais AF, McKenzie RL, Aucamp PJ, Young PJ, Liley JB, Lucas RM, Yazar S, Rhodes LE, Byrne SN, Hollestein LM, Olsen CM, Young AR, Robson TM, Bornman JF, Jansen MAK, Robinson SA, Ballaré CL, Williamson CE, Rose KC, Banaszak AT, Häder DP, Hylander S, Wängberg SÅ, Austin AT, Hou WC, Paul ND, Madronich S, Sulzberger B, Solomon KR, Li H, Schikowski T, Longstreth J, Pandey KK, Heikkilä AM, White CC. Environmental effects of stratospheric ozone depletion, UV radiation and interactions with climate change: UNEP Environmental Effects Assessment Panel, update 2019. Photochem Photobiol Sci 2020; 19:542-584. [PMID: 32364555 PMCID: PMC7442302 DOI: 10.1039/d0pp90011g] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Accepted: 03/23/2020] [Indexed: 12/24/2022]
Abstract
This assessment, by the United Nations Environment Programme (UNEP) Environmental Effects Assessment Panel (EEAP), one of three Panels informing the Parties to the Montreal Protocol, provides an update, since our previous extensive assessment (Photochem. Photobiol. Sci., 2019, 18, 595-828), of recent findings of current and projected interactive environmental effects of ultraviolet (UV) radiation, stratospheric ozone, and climate change. These effects include those on human health, air quality, terrestrial and aquatic ecosystems, biogeochemical cycles, and materials used in construction and other services. The present update evaluates further evidence of the consequences of human activity on climate change that are altering the exposure of organisms and ecosystems to UV radiation. This in turn reveals the interactive effects of many climate change factors with UV radiation that have implications for the atmosphere, feedbacks, contaminant fate and transport, organismal responses, and many outdoor materials including plastics, wood, and fabrics. The universal ratification of the Montreal Protocol, signed by 197 countries, has led to the regulation and phase-out of chemicals that deplete the stratospheric ozone layer. Although this treaty has had unprecedented success in protecting the ozone layer, and hence all life on Earth from damaging UV radiation, it is also making a substantial contribution to reducing climate warming because many of the chemicals under this treaty are greenhouse gases.
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Affiliation(s)
- G H Bernhard
- Biospherical Instruments Inc., San Diego, California, USA
| | - R E Neale
- Population Health Department, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - P W Barnes
- Biological Sciences and Environment Program, Loyola University, New Orleans, USA
| | - P J Neale
- Smithsonian Environmental Research Center, Edgewater, Maryland, USA
| | - R G Zepp
- United States Environmental Protection Agency, Athens, Georgia, USA
| | - S R Wilson
- School of Earth, Atmospheric and Life Sciences, University of Wollongong, Wollongong, Australia
| | - A L Andrady
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina, USA
| | - A F Bais
- Department of Physics, Aristotle University of Thessaloniki, Greece
| | - R L McKenzie
- National Institute of Water & Atmospheric Research, Lauder, Central Otago, New Zealand
| | - P J Aucamp
- Ptersa Environmental Consultants, Faerie Glen, South Africa
| | - P J Young
- Lancaster Environment Centre, Lancaster University, Lancaster, UK
| | - J B Liley
- National Institute of Water & Atmospheric Research, Lauder, Central Otago, New Zealand
| | - R M Lucas
- National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia
| | - S Yazar
- Garvan Institute of Medical Research, Sydney, Australia
| | - L E Rhodes
- Faculty of Biology Medicine and Health, University of Manchester, and Salford Royal Hospital, Manchester, UK
| | - S N Byrne
- School of Medical Sciences, University of Sydney, Sydney, Australia
| | - L M Hollestein
- Erasmus MC, University Medical Center Rotterdam, Manchester, The Netherlands
| | - C M Olsen
- Population Health Department, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - A R Young
- St John's Institute of Dermatology, King's College, London, London, UK
| | - T M Robson
- Organismal & Evolutionary Biology, Viikki Plant Science Centre, University of Helsinki, Helsinki, Finland
| | - J F Bornman
- Food Futures Institute, Murdoch University, Perth, Australia.
| | - M A K Jansen
- School of Biological, Earth and Environmental Sciences, University College Cork, Cork, Ireland
| | - S A Robinson
- Centre for Sustainable Ecosystem Solutions, University of Wollongong, Wollongong, Australia
| | - C L Ballaré
- Faculty of Agronomy and IFEVA-CONICET, University of Buenos Aires, Buenos Aires, Argentina
| | - C E Williamson
- Department of Biology, Miami University, Oxford, Ohio, USA
| | - K C Rose
- Department of Biological Sciences, Rensselaer Polytechnic Institute, Troy, New York, USA
| | - A T Banaszak
- Unidad Académica de Sistemas Arrecifales, Universidad Nacional Autónoma de México, Puerto Morelos, Mexico
| | - D -P Häder
- Department of Biology, Friedrich-Alexander University, Möhrendorf, Germany
| | - S Hylander
- Centre for Ecology and Evolution in Microbial Model Systems, Linnaeus University, Kalmar, Sweden
| | - S -Å Wängberg
- Department of Marine Sciences, University of Gothenburg, Gothenburg, Sweden
| | - A T Austin
- Faculty of Agronomy and IFEVA-CONICET, University of Buenos Aires, Buenos Aires, Argentina
| | - W -C Hou
- Department of Environmental Engineering, National Cheng Kung University, Tainan City, Taiwan, China
| | - N D Paul
- Lancaster Environment Centre, Lancaster University, Lancaster, UK
| | - S Madronich
- National Center for Atmospheric Research, Boulder, Colorado, USA
| | - B Sulzberger
- Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland
| | - K R Solomon
- Centre for Toxicology, School of Environmental Sciences, University of Guelph, Guelph, Canada
| | - H Li
- Institute of Atmospheric Environment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - T Schikowski
- Research Group of Environmental Epidemiology, Leibniz Institute of Environmental Medicine, Düsseldorf, Germany
| | - J Longstreth
- Institute for Global Risk Research, Bethesda, Maryland, USA
| | - K K Pandey
- Institute of Wood Science and Technology, Bengaluru, India
| | - A M Heikkilä
- Finnish Meteorological Institute, Helsinki, Finland
| | - C C White
- , 5409 Mohican Rd, Bethesda, Maryland, USA
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Aerosol-photolysis interaction reduces particulate matter during wintertime haze events. Proc Natl Acad Sci U S A 2020; 117:9755-9761. [PMID: 32300007 DOI: 10.1073/pnas.1916775117] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Aerosol-radiation interaction (ARI) plays a significant role in the accumulation of fine particulate matter (PM2.5) by stabilizing the planetary boundary layer and thus deteriorating air quality during haze events. However, modification of photolysis by aerosol scattering or absorbing solar radiation (aerosol-photolysis interaction or API) alters the atmospheric oxidizing capacity, decreases the rate of secondary aerosol formation, and ultimately alleviates the ARI effect on PM2.5 pollution. Therefore, the synergetic effect of both ARI and API can either aggravate or even mitigate PM2.5 pollution. To test the effect, a fully coupled Weather Research and Forecasting (WRF)-Chem model has been used to simulate a heavy haze episode in North China Plain. Our results show that ARI contributes to a 7.8% increase in near-surface PM2.5 However, API suppresses secondary aerosol formation, and the combination of ARI and API results in only 4.8% net increase of PM2.5 Additionally, API increases the solar radiation reaching the surface and perturbs aerosol nucleation and activation to form cloud condensation nuclei, influencing aerosol-cloud interaction. The results suggest that API reduces PM2.5 pollution during haze events, but adds uncertainties in climate prediction.
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Chang L, Xu J, Tie X, Gao W. The impact of Climate Change on the Western Pacific Subtropical High and the related ozone pollution in Shanghai, China. Sci Rep 2019; 9:16998. [PMID: 31740774 PMCID: PMC6861276 DOI: 10.1038/s41598-019-53103-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Accepted: 10/28/2019] [Indexed: 11/19/2022] Open
Abstract
Severe ozone (O3) episodes occur frequently in Shanghai during late-summers. We define geopotential height averaged over the key area region (122.5°E-135°E, 27.5°N -35°N) at 500 hPa as a WPSH_SHO3 index which has high positive correlation with surface O3 concentration in Shanghai. In addition, the index has a significant long-term increasing trend during the recent 60 years. Analysis shows the meteorological conditions under the strong WPSH_SHO3 climate background (compared to the weak background) have several important anomalies: (1) A strong WPSH center occurs over the key area region. (2) The cloud cover is less, resulting in high solar radiation and low humidity, enhancing the photochemical reactions of O3. (3) The near-surface southwesterly winds are more frequent, enhancing the transport of upwind pollutants and O3 precursors from polluted regions to Shanghai and producing higher O3 chemical productions. This study suggests that the global climate change could lead to a stronger WPSH in the key region, enhancing ozone pollution in Shanghai. A global chemical/transport model (MOZART-4) is applied to show that the O3 concentrations can be 30 ppbv higher under a strong WPSH_SHO3 condition than a weak condition, indicating the important effect of the global climate change on local air pollution in Shanghai.
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Affiliation(s)
- Luyu Chang
- Department of Atmospheric and Oceanic Sciences, Fudan University, Shanghai, 200438, China
- Shanghai Typhoon Institute, Shanghai Meteorological Service, Shanghai, 200030, China
- Shanghai Key Laboratory of Meteorology and Health, Shanghai, 200030, China
| | - Jianming Xu
- Shanghai Typhoon Institute, Shanghai Meteorological Service, Shanghai, 200030, China.
- Shanghai Key Laboratory of Meteorology and Health, Shanghai, 200030, China.
- Anhui Province Key Laboratory of Atmospheric Science and Satellite Remote Sensing, Hefei, 230000, China.
| | - Xuexi Tie
- Shanghai Key Laboratory of Meteorology and Health, Shanghai, 200030, China.
- Key Laboratory of Aerosol Science and Technology, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, China.
- Center for Excellence in Regional Atmospheric Environment, Chinese Academy of Sciences, Xiamen, 361021, China.
| | - Wei Gao
- Shanghai Typhoon Institute, Shanghai Meteorological Service, Shanghai, 200030, China
- Shanghai Key Laboratory of Meteorology and Health, Shanghai, 200030, China
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15
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Wang R, Tie X, Li G, Zhao S, Long X, Johansson L, An Z. Effect of ship emissions on O 3 in the Yangtze River Delta region of China: Analysis of WRF-Chem modeling. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 683:360-370. [PMID: 31136963 DOI: 10.1016/j.scitotenv.2019.04.240] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Revised: 04/15/2019] [Accepted: 04/16/2019] [Indexed: 06/09/2023]
Abstract
The Yangtze River Delta (YRD) region locates on the eastern coast of China, and it has suffered severe O3 pollutions due to high and mixed emissions of air pollutants. There are 3 different emission sectors for O3 precursors in the region, including anthropogenic VOCS and NOX emissions, ship emissions (mainly NOX), and biogenic emissions from a large forest (biogenic VOCS). This unique emission mixture produces complicated chemical processes in studying the O3 pollutions in the region. This study aims to identify the contribution of the ship emissions to O3 pollutions, as well as the effect of mixing emissions on O3 pollutions in YRD. To identify the individual emission effect, the WRF-Chem model is used in this study. The model generally performs well in simulating meteorological parameters and air pollutants against observations in YRD. Sensitive study suggests that the ship emissions have important effects on the O3 concentrations over ocean and inland, with a maximum increase of 30-50 μg m-3 occurred mainly in the ship track regions. However, the ship emissions have a very complicated effect on the in-land O3 concentrations. In the north of Shanghai, the NOX concentrations are high due to high anthropogenic emissions, and a further increase in NOX emissions from ship results in depressing O3 chemical production. In contrast, in the south of Shanghai, there are high biogenic VOC emissions (mainly isoprene) and low NOx concentrations. As a result, the O3 concentrations are enhanced by 30-50 μg m-3, due to the mixing between ship and forest emissions. This study suggests that ship emissions play important roles in controlling O3 pollutions in YRD. Furthermore, the mixing emissions between ship, anthropogenic, and biogenic emissions in YRD produce a complicated O3 chemical production and need to be carefully considered in controlling strategy of O3 pollution in the region.
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Affiliation(s)
- Ruonan Wang
- Key Lab of Aerosol Chemistry and Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China; University of Chinese Academy of Science, Beijing 100049, China
| | - Xuexi Tie
- Key Lab of Aerosol Chemistry and Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China; Center for Excellence in Urban Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; Shanghai Key Laboratory of Meteorology and Health, Shanghai 200030, China; National Center for Atmospheric Research (NCAR), Boulder, CO 80303, USA.
| | - Guohui Li
- Key Lab of Aerosol Chemistry and Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Shuyu Zhao
- Key Lab of Aerosol Chemistry and Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Xin Long
- Key Lab of Aerosol Chemistry and Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Lasse Johansson
- Finnish Meteorological Institute, Erik Palmenin aukio, 100101 Helsinki, Finland
| | - Zhisheng An
- Key Lab of Aerosol Chemistry and Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
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16
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Correlations between PM2.5 and Ozone over China and Associated Underlying Reasons. ATMOSPHERE 2019. [DOI: 10.3390/atmos10070352] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
We investigated the spatial-temporal characteristics of the correlations between observed PM2.5 and O3 over China at a national-scale level, and examined the underlying reasons for the varying PM2.5–O3 correlations by using a chemical transport model. The PM2.5 concentrations were positively correlated with O3 concentrations for most regions and seasons over China, while negative correlations were mainly observed in northern China during winter. The strongest positive PM2.5–O3 correlations with correlation coefficients (r) larger than +0.7 existed in southern China during July, and the strongest negative correlations (r < −0.5) were observed in northern China during January. It was a very interesting phenomenon that the positive PM2.5–O3 correlations prevailed for high air temperature samples, while the negative correlations were generally found in cold environments. Together, the effective inhibitory effect of PM2.5 on O3 generation by reducing photolysis rates and the strong titration effect of freshly emitted NO with O3 contributed to the strongest negative PM2.5–O3 correlations in northern China during January (i.e., in cold environments). The strongest positive correlations in southern China during July (i.e., at high temperature), however, were mainly attributed to the promoting effect of high O3 concentration and active photochemical activity on secondary particle formation.
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17
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Modeling Dust Direct Radiative Feedbacks in East Asia During the Last Glacial Maximum. ATMOSPHERE 2019. [DOI: 10.3390/atmos10030146] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
In this study, using the fourth version of the Community Atmosphere Model (CAM4) with a bulk aerosol model parameterization (BAM) for dust size distribution (CAM4-BAM), East Asian dust and its direct radiative feedbacks (DRF) during the Last Glacial Maximum are analyzed by intercomparing results between the experiments with (Active) and without (Passive) the DRF. This CAM4-BAM captures the expected characteristics that the dust aerosol optical depth and loading over East Asia during the Last Glacial Maximum (LGM) were significantly greater compared to the current climate. A comparative analysis of the Active and Passive experiments reveals that consideration of the dust–radiation interaction can significantly reduce dust emissions and then weaken the whole dust cycle, including loading, transport, and dry and wet depositions over East Asia. Further analysis of the dust–radiation feedback shows that the DRF decreases surface sensible heat, mainly owing to the negative surface forcing induced by dust with a value of −11.8 W m−2. The decreased surface sensible heat weakens the turbulent energy within the planetary boundary layer and the surface wind speed, and then reduces the regional dust emissions. This process creates a negative DRF–emission feedback loop to affect the dust cycle during the LGM. Further analysis reveals that the dust emissions in the LGM over East Asia were more reduced, with amounts of −77.2 Tg season−1 by the negative DRF–emission feedback, compared to the current climate with −6.8 Tg season−1. The two ratios of this reduction to their emissions are close to −10.7% for the LGM and −7.5% for the current climate.
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Xu R, Tie X, Li G, Zhao S, Cao J, Feng T, Long X. Effect of biomass burning on black carbon (BC) in South Asia and Tibetan Plateau: The analysis of WRF-Chem modeling. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 645:901-912. [PMID: 30032086 DOI: 10.1016/j.scitotenv.2018.07.165] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2018] [Revised: 07/10/2018] [Accepted: 07/13/2018] [Indexed: 06/08/2023]
Abstract
The focus of this study is to evaluate the impact of biomass burning (BB) from South Asia and Southeast Asia on the glaciers over the Tibetan Plateau. The seasonality and long-term trend of biomass fires measured by Terra and Aqua satellite data from 2010 to 2016 are used in this study. The analysis shows that the biomass burnings were widely dispersed in the continental of Indian and Southeast Asia and existed a strong seasonal variation. The biomass burnings in winter (January) were relatively weak and scattered and were significantly enhanced in spring (April). The highest biomass burnings located in two regions. One was along the foothill of Himalayas, where is a dense population area, and the second located in Southeast Asia. Because these two high biomass burning regions are close to the Tibetan Plateau, they could have important effects on the BC deposition over the glaciers of the Tibetan Plateau. In order to study the effect of BB emissions on the deposition over the glaciers in the Tibetan Plateau, a regional chemical model (WRF-Chem; Weather Research and Forecasting Chemical model) was applied to simulate the BC distributions and the transport from BB emission regions to the glaciers in Tibetan Plateau. The result shows that in winter (January), due to the relatively weak BB emissions, the effect of BB emissions on BC concentrations was not significant. The BC concentrations resulted from BB emissions ranged from 0.1 to 2.0 μg/m3, with high concentrations distributed along the foothill of Himalayas and the southeastern Asia region. Due to the relative low BC concentrations, there was insignificant effect of BB emissions on the deposition over the glaciers in the Tibetan Plateau in winter. However, the BB emissions were highest in spring (April), producing high BC concentrations. For example, along the Himalayas Mountain and in the southeastern Asia region, The BC concentrations ranged from 2.0 to 6.0 μg/m3. In addition to the high BC concentrations, there were also west and south prevailing winds in these regions. As a result, the BC particles were transported to the glaciers in the Tibetan Plateau, causing significant deposition of BC particles on the snow surface of the glaciers. This study suggests that the biomass burning emissions have important effects on the BC deposition over the glaciers in the Tibetan Plateau, and the contaminations of glaciers could have significant impact on the melting of snow in the Tibetan Plateau, causing some severe environmental problems, such as the water resources.
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Affiliation(s)
- Ruiguang Xu
- State Kay Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China; College of Energy and Environmental Engineering, Hebei University of Engineering, Handan 056038, China; Postdoctoral Research Station of Xi'an Chan-Ba Ecological District(CBE) Management Committee, Xi'an 710024, China
| | - Xuexi Tie
- State Kay Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China; Center for Excellence in Urban Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; National Center for Atmospheric Research (NCAR), Boulder, CO 80303, USA.
| | - Guohui Li
- State Kay Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Shuyu Zhao
- State Kay Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Junji Cao
- State Kay Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Tian Feng
- State Kay Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Xin Long
- State Kay Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
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Chuang MT, Lee CT, Hsu HC. Quantifying PM 2.5 from long-range transport and local pollution in Taiwan during winter monsoon: An efficient estimation method. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2018; 227:10-22. [PMID: 30172155 DOI: 10.1016/j.jenvman.2018.08.066] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2018] [Revised: 07/26/2018] [Accepted: 08/15/2018] [Indexed: 06/08/2023]
Abstract
From autumn to the following spring, annually, the northeast monsoon transports PM2.5 (particles less than 2.5 μm in aerodynamic diameter) from the Asian continent to downstream areas. Naturally, this triggered a question: What are the contributions of PM2.5 from long-range transport (LRT) and local pollution (LP) at any downstream location? To answer that question, the present study developed an economical and efficient method that can easily estimate the contribution of PM2.5 from LRT (LRT-PM2.5) and PM2.5 from LP (LP-PM2.5). The method used PM2.5 and meteorological observation data in Taiwan from 2006 to 2015 and a short-term simulation from January to May in 2010. The analysis classified the data into three types of PM2.5 source patterns: LRT-Event (high concentration plume at the front edge of southward moving anticyclones/strong northeast wind), LRT-Ordinary (less concentration in common strong northeast wind), and LRT/LP Mix or Pure LP (PM2.5 was from both LRT and LP or from only LP under weak northeast wind). During the ten-year period, the average LRT-PM2.5 values at the northern tip of Taiwan were 31-39 μg m-3, 12-16 μg m-3, and 4-13 μg m-3 for the LRT-Event, LRT-Ordinary, and LRT/LP Mix or Pure LP patterns, respectively. The 10-year average LRT-PM2.5 and LP-PM2.5 contributions were approximately 70:30 in northern Taiwan, 50:50 in central Taiwan, and 30:70 in southern Taiwan for the LRT-Event pattern; 60:40 in northern and 40:60 in central and southern Taiwan for the LRT-Ordinary pattern; and 30:70 in northern and 25:75 in central and southern Taiwan for the LRT/LP Mix or Pure LP pattern. Interestingly, LRT-PM2.5 peaked in 2013 but has decreased annually since then, whereas LP-PM2.5 has roughly decreased in the past ten years.
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Affiliation(s)
- Ming-Tung Chuang
- Graduate Institute of Energy Engineering, National Central University, Taoyuan, 32001, Taiwan.
| | - Chung-Te Lee
- Graduate Institute of Environmental Engineering, National Central University, Taoyuan, 32001, Taiwan.
| | - Hui-Chun Hsu
- Graduate Institute of Environmental Engineering, National Central University, Taoyuan, 32001, Taiwan
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20
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Wang Y, Ma P, Peng J, Zhang R, Jiang JH, Easter RC, Yung YL. Constraining Aging Processes of Black Carbon in the Community Atmosphere Model Using Environmental Chamber Measurements. JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS 2018; 10:2514-2526. [PMID: 31031881 PMCID: PMC6472719 DOI: 10.1029/2018ms001387] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2018] [Revised: 10/03/2018] [Accepted: 10/03/2018] [Indexed: 05/30/2023]
Abstract
The direct radiative forcing of black carbon aerosol (BC) on the Earth system remains unsettled, largely due to the uncertainty with physical properties of BC throughout their lifecycle. Here we show that ambient chamber measurements of BC properties provide a novel constraint on the crude BC aging representation in climate models. Observational evidence for significant absorption enhancement of BC can be reproduced when the aging processes in the four-mode version of the Modal Aerosol Module (MAM4) aerosol scheme in the Community Atmosphere Model version 5 are calibrated by the recent in situ chamber measurements. An observation-based scaling method is developed in the aging timescale calculation to alleviate the influence of biases in the simulated model chemical composition. Model sensitivity simulations suggest that the different monolayer settings in the BC aging parameterization of MAM4 can cause as large as 26% and 24% differences in BC burden and radiative forcing, respectively. We also find that an increase in coating materials (e.g., sulfate and secondary organic aerosols) reduces BC lifetime by increasing the hygroscopicity of the mixture but enhances its absorption, resulting in a net increase in BC direct radiative forcing. Our results suggest that accurate simulations of BC aging processes as well as other aerosol species are equally important in reducing the uncertainty of BC forcing estimation.
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Affiliation(s)
- Yuan Wang
- Division of Geological and Planetary SciencesCalifornia Institute of TechnologyPasadenaCAUSA
- Jet Propulsion LaboratoryCalifornia Institute of TechnologyPasadenaCAUSA
| | - Po‐Lun Ma
- Atmospheric Sciences and Global Change DivisionPacific Northwest National LaboratoryRichlandWAUSA
| | - Jianfei Peng
- Department of Atmospheric SciencesTexas A&M UniversityCollege StationTXUSA
| | - Renyi Zhang
- Department of Atmospheric SciencesTexas A&M UniversityCollege StationTXUSA
| | - Jonathan H. Jiang
- Jet Propulsion LaboratoryCalifornia Institute of TechnologyPasadenaCAUSA
| | - Richard C. Easter
- Atmospheric Sciences and Global Change DivisionPacific Northwest National LaboratoryRichlandWAUSA
| | - Yuk L. Yung
- Division of Geological and Planetary SciencesCalifornia Institute of TechnologyPasadenaCAUSA
- Jet Propulsion LaboratoryCalifornia Institute of TechnologyPasadenaCAUSA
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Meng J, Liu J, Yi K, Yang H, Guan D, Liu Z, Zhang J, Ou J, Dorling S, Mi Z, Shen H, Zhong Q, Tao S. Origin and Radiative Forcing of Black Carbon Aerosol: Production and Consumption Perspectives. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2018; 52:6380-6389. [PMID: 29687709 DOI: 10.1021/acs.est.8b01873] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Air pollution, a threat to air quality and human health, has attracted ever-increasing attention in recent years. In addition to having local influence, air pollutants can also travel the globe via atmospheric circulation and international trade. Black carbon (BC), emitted from incomplete combustion, is a unique but representative particulate pollutant. This study tracked down the BC aerosol and its direct radiative forcing to the emission sources and final consumers using the global chemical transport model (MOZART-4), the rapid radiative transfer model for general circulation simulations (RRTM), and a multiregional input-output analysis (MRIO). BC was physically transported (i.e., atmospheric transport) from western to eastern countries in the midlatitude westerlies, but its magnitude is near an order of magnitude higher if the virtual flow embodied in international trade is considered. The transboundary effects on East and South Asia by other regions increased from about 3% (physical transport only) to 10% when considering both physical and virtual transport. The influence efficiency on East Asia was also large because of the comparatively large emission intensity and emission-intensive exports (e.g., machinery and equipment). The radiative forcing in Africa imposed by consumption from Europe, North America, and East Asia (0.01 Wm-2) was even larger than the total forcing in North America. Understanding the supply chain and incorporating both atmospheric and virtual transport may improve multilateral cooperation on air pollutant mitigation both domestically and internationally.
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Affiliation(s)
- Jing Meng
- Department of Politics and International Studies , University of Cambridge , Cambridge CB3 9DT , U.K
- Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences , Peking University , Beijing 100871 , China
- Cambridge Center for Environment, Energy and Natural Resource Governance, Department of Land Economy , University of Cambridge , Cambridge CB3 9EP , U.K
| | - Junfeng Liu
- Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences , Peking University , Beijing 100871 , China
| | - Kan Yi
- Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences , Peking University , Beijing 100871 , China
| | - Haozhe Yang
- Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences , Peking University , Beijing 100871 , China
| | | | | | - Jiachen Zhang
- Department of Civil and Environmental Engineering , University of Southern California , Los Angeles , California 90089 , United States
| | | | | | - Zhifu Mi
- Bartlett School of Construction and Project Management , University College London , London WC1E 7HB , U.K
| | - Huizhong Shen
- Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences , Peking University , Beijing 100871 , China
| | - Qirui Zhong
- Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences , Peking University , Beijing 100871 , China
| | - Shu Tao
- Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences , Peking University , Beijing 100871 , China
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22
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Gao W, Tie X, Xu J, Huang R, Mao X, Zhou G, Chang L. Long-term trend of O 3 in a mega City (Shanghai), China: Characteristics, causes, and interactions with precursors. THE SCIENCE OF THE TOTAL ENVIRONMENT 2017; 603-604:425-433. [PMID: 28636977 DOI: 10.1016/j.scitotenv.2017.06.099] [Citation(s) in RCA: 71] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2017] [Revised: 06/12/2017] [Accepted: 06/12/2017] [Indexed: 05/22/2023]
Abstract
In recent years, ozone (O3) is often the major pollutant during summertime in China. In order to better understand this problem, a long-term measurement of ozone (from 2006 to 2015) and its precursors (NOx and VOCs) as well as the photochemical parameter (UV radiation) in a mega city of China (Shanghai) is analyzed. The focus of this study is to investigate the trend of O3 and the causes of the O3 trend in large cities in China. In order to understand the relationship between the O3 precursors and O3 formation, two distinguished different sites of measurements are selected in the study, including an urbanization site (XJH-Xujiahui) and a remote site (DT-Dongtan). At the XJH site, there are high local emissions of ozone precursors (such as VOCs and NOx), which is suitable to study the effect of O3 precursors on O3 formation. In contrast, at the DT site, where there are low local emissions, the measured result can be used to analyze the background conditions nearby the city of Shanghai. The analysis shows that there were long-term trends of O3 and NOx concentrations at the urban site (XJH) from 2006 to 2015 (O3 increasing 67% and NOx decreasing 38%), while there were very small trends of O3 and NOx concentrations at the background site (DT). The analysis for causing the O3 trend suggests that (1) the large O3 increase at the urban area (XJH) was not due to the regional transport of O3; (2) the measurement of solar radiation had not significant trend during the period, and was not the major cause for the long-term O3 trend; (3) the measurement of VOCs had small change during the same period, suggesting that the trend in NOx concentrations at the urban site (XJH) was a major factor for causing the long-term change of O3 at the urban area of Shanghai. As a result, the O3 and NOx concentrations from 2006 to 2015 at the urban area of Shanghai were strongly anti-correlated, suggesting that the extremely high NOx concentration in the urban area depressed the O3 concentrations. It is interesting to note that the anti-correlation between O3 and NOx was in an un-linearly relationship. Under high O3 concentration condition, the ratio of Δ[O3]/Δ[NOx] was as large as -1.5. In contrast, under low O3 concentrations, the ratio of Δ[O3]/Δ[NOx] was only -0.2. This result suggested that when O3 concentration was high, it was more sensitive to NOx concentration, while when O3 concentration was low, it was less sensitive to NOx concentration. This study provides useful insights for better understanding the causes of the long-term-trend of regional O3 pollution nearby Shanghai, and has important implication for air pollution control in large cities in China. Due to the fact that NOx and VOCs are not only precursors for O3, but also are important precursors for particular matter (PM). If reduction of NOx leads to decrease in PM, but increase in O3, the NOx emission control become a very complicated issue and need to carefully design a comprehensive control method.
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Affiliation(s)
- Wei Gao
- Shanghai Key Laboratory of Meteorology and Health, Shanghai 200030, China; Shanghai Meteorological Service, Shanghai 200030, China
| | - Xuexi Tie
- Shanghai Key Laboratory of Meteorology and Health, Shanghai 200030, China; Key Laboratory of Aerosol Science and Technology, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, China; CAS Center for Excellence in Regional Atmospheric Environment, Chinese Academy of Sciences, Xiamen 361021, China; National Center for Atmospheric Research (NCAR), Boulder 80303, USA.
| | - Jianming Xu
- Shanghai Key Laboratory of Meteorology and Health, Shanghai 200030, China; Shanghai Meteorological Service, Shanghai 200030, China.
| | - Rujin Huang
- Key Laboratory of Aerosol Science and Technology, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, China; Laboratory of Atmospheric Chemistry, Paul Scherrer Institute (PSI), 5232 Villigen, Switzerland
| | - Xiaoqing Mao
- Shanghai Key Laboratory of Meteorology and Health, Shanghai 200030, China; Shanghai Meteorological Service, Shanghai 200030, China
| | - Guangqiang Zhou
- Shanghai Key Laboratory of Meteorology and Health, Shanghai 200030, China; Shanghai Meteorological Service, Shanghai 200030, China
| | - Luyu Chang
- Shanghai Key Laboratory of Meteorology and Health, Shanghai 200030, China; Shanghai Meteorological Service, Shanghai 200030, China
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23
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Xu J, Chang L, Yan F, He J. Role of climate anomalies on decadal variation in the occurrence of wintertime haze in the Yangtze River Delta, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2017; 599-600:918-925. [PMID: 28501016 DOI: 10.1016/j.scitotenv.2017.05.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2017] [Revised: 05/02/2017] [Accepted: 05/02/2017] [Indexed: 06/07/2023]
Abstract
The wintertime haze day (HD) in the Yangtze River Delta (YRD) region of China shows a significant upward trend during the past decades due to the rapid industrialization and urbanization. Besides the enhanced anthropogenic emission, climate change also plays the important role in the long term HD variations. In this study, the significant decadal variation of wintertime HD during the period 1960-2012 in YRD is examined by the empirical orthogonal function (EOF) analysis, featured as less HD occurrence before 1980 and more occurrence after 2000. The numerical simulations by the global transport and chemical model (Model for Ozone and Related chemical Tracers, MOZART) with the same emission inventory suggest 8.4% enhancement of wintertime PM2.5 (particulate matter with the equivalent diameter of air dynamics less than or equal to 2.5μm) mass concentration in YRD during 2001-2009 compared with that during 1971-1979 attributed to meteorological changes, indicating the significant effect of climate anomaly on the decadal variations of wintertime HD. Through the composite analysis on the atmospheric dynamical and thermal conditions based on the reanalysis data, the faster warming in the lower and middle troposphere over the continent in the recent decade is suggested to be important for the out-of-phase decadal HD variation in YRD. The thermal anomaly not only reverses the zonal thermal difference of land-sea to stimulate the anomalous southerlies over YRD leading to reduced prevailing north wind in winter, but also develops the deep inversion below the mid-troposphere to enhance the atmospheric stability. As a result, more frequent and persistent air stagnations in recent decade are expected for the reduction of atmospheric horizontal dispersion and vertical diffusion capacity leading to more occurrence of wintertime HD in YRD.
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Affiliation(s)
- Jianming Xu
- Yangtze River Delta Center for Environmental Meteorology Prediction and Warning, Shanghai, China; Shanghai Key Laboratory of Meteorology and Health, Shanghai, China.
| | - Luyu Chang
- Yangtze River Delta Center for Environmental Meteorology Prediction and Warning, Shanghai, China; Shanghai Key Laboratory of Meteorology and Health, Shanghai, China.
| | - Fengxia Yan
- Meteorological Center of Traffic Management Bureau of East China, Shanghai, China
| | - JinHai He
- School of Atmospheric Science, Nanjing University of Information Science & Technology, Nanjing, China
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24
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Li Z, Guo J, Ding A, Liao H, Liu J, Sun Y, Wang T, Xue H, Zhang H, Zhu B. Aerosol and boundary-layer interactions and impact on air quality. Natl Sci Rev 2017. [DOI: 10.1093/nsr/nwx117] [Citation(s) in RCA: 387] [Impact Index Per Article: 55.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Air quality is concerned with pollutants in both the gas phase and solid or liquid phases. The latter are referred to as aerosols, which are multifaceted agents affecting air quality, weather and climate through many mechanisms. Unlike gas pollutants, aerosols interact strongly with meteorological variables with the strongest interactions taking place in the planetary boundary layer (PBL). The PBL hosting the bulk of aerosols in the lower atmosphere is affected by aerosol radiative effects. Both aerosol scattering and absorption reduce the amount of solar radiation reaching the ground and thus reduce the sensible heat fluxes that drive the diurnal evolution of the PBL. Moreover, aerosols can increase atmospheric stability by inducing a temperature inversion as a result of both scattering and absorption of solar radiation, which suppresses dispersion of pollutants and leads to further increases in aerosol concentration in the lower PBL. Such positive feedback is especially strong during severe pollution events. Knowledge of the PBL is thus crucial for understanding the interactions between air pollution and meteorology. A key question is how the diurnal evolution of the PBL interacts with aerosols, especially in vertical directions, and affects air quality. We review the major advances in aerosol measurements, PBL processes and their interactions with each other through complex feedback mechanisms, and highlight the priorities for future studies.
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Affiliation(s)
- Zhanqing Li
- State Key Laboratory of Earth Surface Processes and Resource Ecology, GCESS, Beijing Normal University, Beijing 1000875, China
- Department of Atmospheric and Oceanic Sciences, University of Maryland, MD 21029, USA
| | - Jianping Guo
- State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China
| | - Aijun Ding
- School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
| | - Hong Liao
- School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Jianjun Liu
- Department of Atmospheric and Oceanic Sciences, University of Maryland, MD 21029, USA
| | - Yele Sun
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
- Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Tijian Wang
- School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
| | - Huiwen Xue
- Department of Atmospheric and Oceanic Sciences, Peking University, Beijing 100871, China
| | - Hongsheng Zhang
- Department of Atmospheric and Oceanic Sciences, Peking University, Beijing 100871, China
| | - Bin Zhu
- School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, China
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25
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Su X, Tie X, Li G, Cao J, Huang R, Feng T, Long X, Xu R. Effect of hydrolysis of N 2O 5 on nitrate and ammonium formation in Beijing China: WRF-Chem model simulation. THE SCIENCE OF THE TOTAL ENVIRONMENT 2017; 579:221-229. [PMID: 27890411 DOI: 10.1016/j.scitotenv.2016.11.125] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2016] [Revised: 11/17/2016] [Accepted: 11/18/2016] [Indexed: 06/06/2023]
Abstract
Beijing, the capital of China, is a mega city with a population of >20 million. In recent years, the city has experienced heavy air pollution, with particulate matter (PM) being one of its top pollutants. In the last decade, extensive efforts have been made to characterize the sources, properties, and processes of PM in Beijing. Despite progress made by previous studies, there are still some important questions to be answered and addressed. The focus of this research is to study the impact of the heterogeneous hydrolysis of N2O5 on the formation of nitrate (NO3-) and ammonium (NH4+) in Beijing. The results show that during heavy pollution days (e.g., during 14-17 September 2015, with PM2.5 concentration over 100μg/m3), the concentrations of NO2 and O3 were high, with maxima of 90 and 240μg/m3, respectively, providing high precursors for the formation of N2O5. In addition, the aerosol and sulfate concentrations were also high, with maxima of 201μg/m3 and 23μg/m3 respectively, providing reacting surface for the heterogeneous reaction. As a result, the hydrolysis of N2O5 led to 21.0% enhancement of nitrate (NO3-) and 7.5% enhancement of ammonium (NH4+). It is worth to note that this important effect only occurred in high pollution days (PM2.5 concentration over 100μg/m3). During low-pollution periods (PM2.5 concentration <100μg/m3), the effect of hydrolysis of N2O5 on the formation of nitrate and ammonium was insignificant (variation rate <5%). This study suggests that during heavy pollution periods, the hydrolysis of N2O5 enhances the level of aerosol pollution in Beijing, and needs to be further studied in order to perform efficient air pollution control and mitigation strategies.
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Affiliation(s)
- Xing Su
- Key Laboratory of Aerosol Science and Technology, State Key Laboratory of Loess Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xuexi Tie
- Key Laboratory of Aerosol Science and Technology, State Key Laboratory of Loess Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China; Center for Excellence in Urban Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; National Center for Atmospheric Research (NCAR), Boulder 80303, USA.
| | - Guohui Li
- Key Laboratory of Aerosol Science and Technology, State Key Laboratory of Loess Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Junji Cao
- Key Laboratory of Aerosol Science and Technology, State Key Laboratory of Loess Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Rujin Huang
- Key Laboratory of Aerosol Science and Technology, State Key Laboratory of Loess Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China; Laboratory of Atmospheric Chemistry, Paul Scherrer Institute (PSI), Villigen 5232, Switzerland
| | - Tian Feng
- Key Laboratory of Aerosol Science and Technology, State Key Laboratory of Loess Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China; School of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Xi'an 710049, China
| | - Xin Long
- Key Laboratory of Aerosol Science and Technology, State Key Laboratory of Loess Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Ruiguang Xu
- Key Laboratory of Aerosol Science and Technology, State Key Laboratory of Loess Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China; University of Chinese Academy of Sciences, Beijing 100049, China
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26
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Xing J, Wang J, Mathur R, Wang S, Sarwar G, Pleim J, Hogrefe C, Zhang Y, Jiang J, Wong DC, Hao J. Impacts of aerosol direct effects on tropospheric ozone through changes in atmospheric dynamics and photolysis rates. ATMOSPHERIC CHEMISTRY AND PHYSICS 2017; 17:9869-9883. [PMID: 30147710 PMCID: PMC6104653 DOI: 10.5194/acp-17-9869-2017] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Aerosol direct effects (ADEs), i.e., scattering and absorption of incoming solar radiation, reduce radiation reaching the ground and the resultant photolysis attenuation can decrease ozone (O3) formation in polluted areas. One the other hand, evidence also suggests that ADE-associated cooling suppresses atmospheric ventilation, thereby enhancing surface-level O3. Assessment of ADE impacts is thus important for understanding emission reduction strategies that seek co-benefits associated with reductions in both particuate matter and O3 levels. This study quantifies the impacts of ADEs on tropospheric ozone by using a two-way online coupled meteorology and atmospheric chemistry model, WRF- CMAQ, using a process analysis methodology. Two mani-festations of ADE impacts on O3 including changes in atmospheric dynamics (ᐃDynamics) and changes in photolysis rates (∆Photolysis) were assessed separately through multiple scenario simulations for January and July of 2013 over China. Results suggest that ADEs reduced surface daily maxima 1 h O3 (DM1O3) in China by up to 39μgm-3 through the combination of ∆Dynamics and ∆Photolysis in January but enhanced surface DM1O3 by up to 4μgm-3 in July. Increased O3 in July is largely attributed to ∆Dynamics, which causes a weaker O3 sink of dry deposition and a stronger O3 source of photochemistry due to the stabilization of the at-mosphere. Meanwhile, surface OH is also enhanced at noon in July, though its daytime average values are reduced in January. An increased OH chain length and a shift towards more volatile organic compound (VOC)-limited conditions are found due to ADEs in both January and July. This study suggests that reducing ADEs may have the potential risk of increasing O3 in winter, but it will benefit the reduction in maxima O3 in summer.
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Affiliation(s)
- Jia Xing
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Jiandong Wang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Rohit Mathur
- The U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA
| | - Shuxiao Wang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Golam Sarwar
- The U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA
| | - Jonathan Pleim
- The U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA
| | - Christian Hogrefe
- The U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA
| | - Yuqiang Zhang
- The U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA
| | - Jingkun Jiang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - David C. Wong
- The U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA
| | - Jiming Hao
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
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27
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Impact of the 2015 El Nino event on winter air quality in China. Sci Rep 2016; 6:34275. [PMID: 27671839 PMCID: PMC5037463 DOI: 10.1038/srep34275] [Citation(s) in RCA: 61] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2016] [Accepted: 09/12/2016] [Indexed: 11/09/2022] Open
Abstract
During the winter of 2015, there was a strong El Nino (ENSO) event, resulting in significant anomalies for meteorological conditions in China. Analysis shows that the meteorological conditions in December 2015 (compared to December 2014) had several important anomalies, including the following: (1) the surface southeasterly winds were significantly enhanced in the North China Plain (NCP); (2) the precipitation was increased in the south of eastern China; and (3) the wind speeds were decreased in the middle-north of eastern China, while slightly increased in the south of eastern China. These meteorological anomalies produced important impacts on the aerosol pollution in eastern China. In the NCP region, the PM2.5 concentrations were significantly increased, with a maximum increase of 80–100 μg m−3. A global chemical/transport model (MOZART-4) was applied to study the individual contribution of the changes in winds and precipitation to PM2.5 concentrations. This study suggests that the 2015El Nino event had significant effects on air pollution in eastern China, especially in the NCP region, including the capital city of Beijing, in which aerosol pollution was significantly enhanced in the already heavily polluted capital city of China.
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28
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Effect of heavy haze and aerosol pollution on rice and wheat productions in China. Sci Rep 2016; 6:29612. [PMID: 27388031 PMCID: PMC4937395 DOI: 10.1038/srep29612] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2016] [Accepted: 06/22/2016] [Indexed: 11/09/2022] Open
Abstract
In China, regional haze pollution is a serious environmental problem. The impact on ecosystem, however, is not clearly understood. This study investigates the effect of regional haze pollution on the yields of rice and wheat in China. The spatial and temporal distributions of aerosol optical depth (AOD) show high particulate pollution in the North China Plain region, Yangtze River Delta region, the central eastern China, and the Si Chuan Basin, coexisted largely with crop growth in time and space. The solar irradiance reaching these regions is estimated to reduce by up to 28-49%, calculated using the AOD distributions and tropospheric ultraviolet-visible (TUV) model. Reduction of solar irradiance in these regions can depress optimal yields of about 45% of rice and 75% of wheat growth in China, leading to 2% reduction in total rice production and 8% reduction in total wheat production in China. However, there are large uncertainties of the estimate related to the diffuse solar radiation. For high diffuse radiation case, the estimate reductions of rice and wheat decrease to 1% and 4.5%, respectively. A further detailed study is needed to clearly understand this effect to meet the growing food demand in the nation in the coming decades.
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29
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Li N, He Q, Tie X, Cao J, Liu S, Wang Q, Li G, Huang R, Zhang Q. Quantifying sources of elemental carbon over the Guanzhong Basin of China: A consistent network of measurements and WRF-Chem modeling. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2016; 214:86-93. [PMID: 27064614 DOI: 10.1016/j.envpol.2016.03.046] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2016] [Revised: 02/27/2016] [Accepted: 03/18/2016] [Indexed: 06/05/2023]
Abstract
We conducted a year-long WRF-Chem (Weather Research and Forecasting Chemical) model simulation of elemental carbon (EC) aerosol and compared the modeling results to the surface EC measurements in the Guanzhong (GZ) Basin of China. The main goals of this study were to quantify the individual contributions of different EC sources to EC pollution, and to find the major cause of the EC pollution in this region. The EC measurements were simultaneously conducted at 10 urban, rural, and background sites over the GZ Basin from May 2013 to April 2014, and provided a good base against which to evaluate model simulation. The model evaluation showed that the calculated annual mean EC concentration was 5.1 μgC m(-3), which was consistent with the observed value of 5.3 μgC m(-3). Moreover, the model result also reproduced the magnitude of measured EC in all seasons (regression slope = 0.98-1.03), as well as the spatial and temporal variations (r = 0.55-0.78). We conducted several sensitivity studies to quantify the individual contributions of EC sources to EC pollution. The sensitivity simulations showed that the local and outside sources contributed about 60% and 40% to the annual mean EC concentration, respectively, implying that local sources were the major EC pollution contributors in the GZ Basin. Among the local sources, residential sources contributed the most, followed by industry and transportation sources. A further analysis suggested that a 50% reduction of industry or transportation emissions only caused a 6% decrease in the annual mean EC concentration, while a 50% reduction of residential emissions reduced the winter surface EC concentration by up to 25%. In respect to the serious air pollution problems (including EC pollution) in the GZ Basin, our findings can provide an insightful view on local air pollution control strategies.
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Affiliation(s)
- Nan Li
- Key Lab of Aerosol Chemistry & Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China; Now at Department of Atmospheric Sciences, National Taiwan University, Taipei, 10617, Taiwan
| | - Qingyang He
- Now at Department of Atmospheric Sciences, National Taiwan University, Taipei, 10617, Taiwan
| | - Xuexi Tie
- Key Lab of Aerosol Chemistry & Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China; Center for Excellence in Urban Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China; National Center for Atmospheric Research, Boulder, CO 80303, USA.
| | - Junji Cao
- Key Lab of Aerosol Chemistry & Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China; Institute of Global Environmental Change, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Suixin Liu
- Key Lab of Aerosol Chemistry & Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China
| | - Qiyuan Wang
- Key Lab of Aerosol Chemistry & Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China
| | - Guohui Li
- Key Lab of Aerosol Chemistry & Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China
| | - Rujin Huang
- Key Lab of Aerosol Chemistry & Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China; Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
| | - Qiang Zhang
- Department of Environmental Sciences and Engineering, Tsinghua University, Beijing, 100084, China
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Li N, Long X, Tie X, Cao J, Huang R, Zhang R, Feng T, Liu S, Li G. Urban dust in the Guanzhong basin of China, part II: A case study of urban dust pollution using the WRF-Dust model. THE SCIENCE OF THE TOTAL ENVIRONMENT 2016; 541:1614-1624. [PMID: 26475241 DOI: 10.1016/j.scitotenv.2015.10.028] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2015] [Revised: 10/06/2015] [Accepted: 10/07/2015] [Indexed: 06/05/2023]
Abstract
We developed a regional dust dynamical model (WRF-Dust) to simulate surface dust concentrations in the Guanzhong (GZ) basin of China during two typical dust cases (19th Aug. and 26th Nov., 2013), and compared model results with the surface measurements at 17 urban and rural sites. The important improvement of the model is to employ multiple high-resolution (0.5-500 m) remote sensing data to construct dust sources. The new data include the geographic information of constructions, croplands, and barrens over the GZ basin in summer and winter of 2013. For the first time, detailed construction dust emissions have been introduced in a regional dust model in large cities of China. Our results show that by including the detailed dust sources, model performance at simulating dust pollutions in the GZ basin is significantly improved. For example, the simulated dust concentration average for the 17 sites increases from 28 μg m(-3) to 59 μg m(-3), closing to the measured concentration of 66 μg m(-3). In addition, the correlation coefficient (r) between the calculated and measured dust concentrations is also improved from 0.17 to 0.57, suggesting that our model better presents the spatial variation. Further analysis shows that urban construction activities are the crucial source in controlling urban dust pollutions. It should be considered by policy makers for mitigating particulate air pollution in many Chinese cities.
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Affiliation(s)
- Nan Li
- Key Lab of Aerosol Chemistry & Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China; Department of Atmospheric Sciences, National Taiwan University, Taipei 10617, Taiwan
| | - Xin Long
- Key Lab of Aerosol Chemistry & Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xuexi Tie
- Key Lab of Aerosol Chemistry & Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China; National Center for Atmospheric Research, Boulder, CO 80303, USA.
| | - Junji Cao
- Key Lab of Aerosol Chemistry & Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China; Institute of Global Environmental Change, Xi'an Jiaotong University, Xi'an 710049, China.
| | - Rujin Huang
- Key Lab of Aerosol Chemistry & Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China; Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen 5232, Switzerland
| | - Rong Zhang
- Key Lab of Aerosol Chemistry & Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Tian Feng
- Key Lab of Aerosol Chemistry & Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China; Institute of Global Environmental Change, Xi'an Jiaotong University, Xi'an 710049, China
| | - Suixin Liu
- Key Lab of Aerosol Chemistry & Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Guohui Li
- Key Lab of Aerosol Chemistry & Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
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In-Situ Aircraft Measurements of the Vertical Distribution of Black Carbon in the Lower Troposphere of Beijing, China, in the Spring and Summer Time. ATMOSPHERE 2015. [DOI: 10.3390/atmos6050713] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Zhang R, Wang G, Guo S, Zamora ML, Ying Q, Lin Y, Wang W, Hu M, Wang Y. Formation of urban fine particulate matter. Chem Rev 2015; 115:3803-55. [PMID: 25942499 DOI: 10.1021/acs.chemrev.5b00067] [Citation(s) in RCA: 473] [Impact Index Per Article: 52.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Affiliation(s)
- Renyi Zhang
- §State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, People's Republic of China
| | | | - Song Guo
- §State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, People's Republic of China
| | | | | | | | | | - Min Hu
- §State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, People's Republic of China
| | - Yuan Wang
- #Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California 91125, United States
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Notario A, Bravo I, Adame JA, Díaz-de-Mera Y, Aranda A, Rodríguez A, Rodríguez D. Partitioning, sources and variability of regional and local oxidant (OX = O3 + NO 2) in a coastal rural area in the southwest of Iberian Peninsula. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2013; 20:6059-6069. [PMID: 23529402 DOI: 10.1007/s11356-013-1642-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2012] [Accepted: 03/13/2013] [Indexed: 06/02/2023]
Abstract
The purpose of this work is to investigate the behaviour and variability of oxidant levels (OX = NO2 + O3), for the first time, in a rural coastal area in the southwest of the Iberian Peninsula, affected by several air masses types. Detailed database (built-up over the years 2008 to 2011, and containing around 500,000 data) from the Atmospheric Sounding Station "El Arenosillo" was used. The observed daily cycles of NO x and OX were influenced by air masses coming from industrial and urban area. It can be seen that the concentration of OX is made up of a NO x -independent 'regional' contribution (i.e. the O3 background), and a linearly NO x -dependent 'local' contribution from primary emissions, such as traffic. The local emission is very low in this area. Also, the regional contribution is similar to unpolluted sites and presents seasonal variation, being higher in May. However, our measurements showed that the proportion of OX in the form of NO2 increases with the increase in NO x concentration during the day. The higher proportion of NO2 observed at night must be due to the conversion of NO to NO2 by the NO + O3 reaction. With regards to the source of the local NO x -dependent contribution, it may be attributed to industrial emission, or the termolecular reaction 2NO + O2 = 2NO2, at high-NO x levels and stagnant air during several days. Finally, we estimated the photolysis rate of NO2, J NO2, an important key atmospheric reaction coupled with ozone. We also present surface plots of annual variation of the daily mean NO x and OX levels, which indicate that oxidants come from transport processes instead of local emissions associated as local photochemistry.
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Affiliation(s)
- Alberto Notario
- Departamento de Química Física. Facultad de Ciencias y Tecnologías Químicas, Universidad de Castilla-La Mancha, Avenida Camilo Jose Cela s/n, 13071, Ciudad Real, Spain
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Abstract
Heterogeneous reactions of amines have been recently shown to play an important role in the formation and transformation of atmospheric aerosols. This perspective summarizes the latest laboratory progress in the multiphase chemistry of amines. Particular emphasis is given to the contributions of amines to new particle formation, growth of submicron particles, and alteration in the physiochemical properties of pre-existing particles, including hygroscopicity, thermostability, density, phase, and optical properties, from exposure to gaseous amines. The atmospheric implications of the multiphase reactions of amines, including the potential impact on direct and indirect climate forcing of aerosols, and future research directions are discussed.
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Affiliation(s)
- Chong Qiu
- Department of Chemistry, Texas A&M University, College Station, TX 77843, USA
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Notario A, Bravo I, Adame JA, Díaz-de-Mera Y, Aranda A, Rodríguez A, Rodríguez D. Behaviour and variability of local and regional oxidant levels (OX = O3 + NO2) measured in a polluted area in central-southern of Iberian Peninsula. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2013; 20:188-200. [PMID: 22645005 DOI: 10.1007/s11356-012-0974-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2012] [Accepted: 05/07/2012] [Indexed: 06/01/2023]
Abstract
The purpose of this work is to contribute to the understanding of the photochemical air pollution in central-southern of the Iberian Peninsula, analysing the behaviour and variability of oxidant levels (OX = O(3) + NO(2)), measured in a polluted area with the highest concentration of heavy industry in central Spain. A detailed air pollution database was observed from two monitoring stations. The data period used was 2008 and 2009, around 210,000 data, selected for its pollution and meteorological statistics, which are very representative of the region. Data were collected every 15 min, however hourly values were used to analyse the seasonal and daily ozone, NO, NO(2) and OX cycles. The variation of OX concentrations with NO(x) is investigated, for the first time, in the centre of the Iberian Peninsula. The concentration of OX was calculated using the sum of a NO(x)-independent 'regional' contribution (i.e. the O(3) background), and a linearly NO(x)-dependent 'local' contribution. Monthly dependence of regional and local OX concentration was observed to determine when the maximum values may be expected. The variation of OX concentrations with levels of NO(x) was also measured, in order to pinpoint the atmospheric sources of OX in the polluted areas. The ratios [NO(2)]/[OX] and [NO(2)]/[NO(x)] vs. [NO(x)] were analysed to find the fraction of OX in the form of NO(2), and the possible source of the local NO(x)-dependent contribution, respectively. The progressive increase of the ratio [NO(2)]/[OX] with [NO(x)] observed shows a greater proportion of OX in the form of NO(2) as the level of NO( x ) increases. The higher measured values in the ratio [NO(2)]/[NO(x)] should not be attributed to NO(x) emissions by vehicles; they could be explained by industrial emission, termolecular reactions or formaldehyde and HONO directly emitted by vehicles exhausts. We also estimate the rate of NO(2) photolysis, J (NO(2)) = 0.18-0.64 min(-1), a key atmospheric reaction that influence O(3) production and then the regional air quality. The first surface plot study of annual variation of the daily mean oxidant levels, obtained for this polluted area may be used to improve the atmospheric photochemical dynamic in this region of the Iberian Peninsula where there are undeniable air quality problems.
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Affiliation(s)
- Alberto Notario
- Departamento de Química Física, Facultad de Ciencias Químicas, Universidad de Castilla la Mancha, Avenida Camilo José Cela, 13071 Ciudad Real, Spain
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Key role of organic carbon in the sunlight-enhanced atmospheric aging of soot by O2. Proc Natl Acad Sci U S A 2012; 109:21250-5. [PMID: 23236134 DOI: 10.1073/pnas.1212690110] [Citation(s) in RCA: 51] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Soot particles are ubiquitous in the atmosphere and have important climatic and health effects. The aging processes of soot during long-range transport result in variability in its morphology, microstructure, and hygroscopic and optical properties, subsequently leading to the modification of soot's climatic and health effects. In the present study the aging process of soot by molecular O(2) under simulated sunlight irradiation is investigated. Organic carbon components on the surface of soot are found to play a key role in soot aging and are transformed into oxygen-containing organic species including quinones, ketones, aldehydes, lactones, and anhydrides. These oxygen-containing species may become adsorption centers of water and thus enhance the cloud condensation nuclei and ice nuclei activities of soot. Under irradiation of 25 mW·cm(-2), the apparent rate constants (k(1,obs)) for loss or formation of species on soot aged by 20% O(2) were larger by factors of 1.5-3.5 than those on soot aged by 100 ppb O(3). Considering the abundance of O(2) in the troposphere and its higher photoreactivity rate, the photochemical oxidation by O(2) under sunlight irradiation should be a very important aging process for soot.
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Ocko IB, Ramaswamy V, Ginoux P, Ming Y, Horowitz LW. Sensitivity of scattering and absorbing aerosol direct radiative forcing to physical climate factors. ACTA ACUST UNITED AC 2012. [DOI: 10.1029/2012jd018019] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Liu J, Horowitz LW, Fan S, Carlton AG, Levy H. Global in-cloud production of secondary organic aerosols: Implementation of a detailed chemical mechanism in the GFDL atmospheric model AM3. ACTA ACUST UNITED AC 2012. [DOI: 10.1029/2012jd017838] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Koffi B, Schulz M, Bréon FM, Griesfeller J, Winker D, Balkanski Y, Bauer S, Berntsen T, Chin M, Collins WD, Dentener F, Diehl T, Easter R, Ghan S, Ginoux P, Gong S, Horowitz LW, Iversen T, Kirkevåg A, Koch D, Krol M, Myhre G, Stier P, Takemura T. Application of the CALIOP layer product to evaluate the vertical distribution of aerosols estimated by global models: AeroCom phase I results. ACTA ACUST UNITED AC 2012. [DOI: 10.1029/2011jd016858] [Citation(s) in RCA: 140] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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40
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Attenuation of ultraviolet radiation reaching the surface due to atmospheric aerosols in Guangzhou. ACTA ACUST UNITED AC 2012. [DOI: 10.1007/s11434-012-5172-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Fry MM, Naik V, West JJ, Schwarzkopf MD, Fiore AM, Collins WJ, Dentener FJ, Shindell DT, Atherton C, Bergmann D, Duncan BN, Hess P, MacKenzie IA, Marmer E, Schultz MG, Szopa S, Wild O, Zeng G. The influence of ozone precursor emissions from four world regions on tropospheric composition and radiative climate forcing. ACTA ACUST UNITED AC 2012. [DOI: 10.1029/2011jd017134] [Citation(s) in RCA: 79] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Liu J, Fan S, Horowitz LW, Levy H. Evaluation of factors controlling long-range transport of black carbon to the Arctic. ACTA ACUST UNITED AC 2011. [DOI: 10.1029/2010jd015145] [Citation(s) in RCA: 126] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Fang Y, Fiore AM, Horowitz LW, Gnanadesikan A, Levy H, Hu Y, Russell AG. Estimating the contribution of strong daily export events to total pollutant export from the United States in summer. ACTA ACUST UNITED AC 2009. [DOI: 10.1029/2008jd010946] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Ganguly D, Ginoux P, Ramaswamy V, Dubovik O, Welton J, Reid EA, Holben BN. Inferring the composition and concentration of aerosols by combining AERONET and MPLNET data: Comparison with other measurements and utilization to evaluate GCM output. ACTA ACUST UNITED AC 2009. [DOI: 10.1029/2009jd011895] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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45
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Magi BI, Ginoux P, Ming Y, Ramaswamy V. Evaluation of tropical and extratropical Southern Hemisphere African aerosol properties simulated by a climate model. ACTA ACUST UNITED AC 2009. [DOI: 10.1029/2008jd011128] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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46
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Spak SN, Holloway T. Seasonality of speciated aerosol transport over the Great Lakes region. ACTA ACUST UNITED AC 2009. [DOI: 10.1029/2008jd010598] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Pfister GG, Emmons LK, Hess PG, Lamarque JF, Thompson AM, Yorks JE. Analysis of the Summer 2004 ozone budget over the United States using Intercontinental Transport Experiment Ozonesonde Network Study (IONS) observations and Model of Ozone and Related Tracers (MOZART-4) simulations. ACTA ACUST UNITED AC 2008. [DOI: 10.1029/2008jd010190] [Citation(s) in RCA: 47] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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48
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Chen ZM, Jie CY, Li S, Wang HL, Wang CX, Xu JR, Hua W. Heterogeneous reactions of methacrolein and methyl vinyl ketone: Kinetics and mechanisms of uptake and ozonolysis on silicon dioxide. ACTA ACUST UNITED AC 2008. [DOI: 10.1029/2007jd009754] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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49
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Parrington M, Jones DBA, Bowman KW, Horowitz LW, Thompson AM, Tarasick DW, Witte JC. Estimating the summertime tropospheric ozone distribution over North America through assimilation of observations from the Tropospheric Emission Spectrometer. ACTA ACUST UNITED AC 2008. [DOI: 10.1029/2007jd009341] [Citation(s) in RCA: 77] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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50
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Pozzoli L, Bey I, Rast S, Schultz MG, Stier P, Feichter J. Trace gas and aerosol interactions in the fully coupled model of aerosol-chemistry-climate ECHAM5-HAMMOZ: 2. Impact of heterogeneous chemistry on the global aerosol distributions. ACTA ACUST UNITED AC 2008. [DOI: 10.1029/2007jd009008] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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