Articles | Volume 22, issue 7
https://doi.org/10.5194/acp-22-4339-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-4339-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Seasonal characteristics of atmospheric peroxyacetyl nitrate (PAN) in a coastal city of Southeast China: Explanatory factors and photochemical effects
Taotao Liu
Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China
Key Lab of Urban Environment and Health, Institute of Urban
Environment, Chinese Academy of Sciences, Xiamen, China
University of Chinese Academy of Sciences, Beijing, China
Gaojie Chen
Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China
Key Lab of Urban Environment and Health, Institute of Urban
Environment, Chinese Academy of Sciences, Xiamen, China
University of Chinese Academy of Sciences, Beijing, China
Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China
Key Lab of Urban Environment and Health, Institute of Urban
Environment, Chinese Academy of Sciences, Xiamen, China
Lingling Xu
Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China
Key Lab of Urban Environment and Health, Institute of Urban
Environment, Chinese Academy of Sciences, Xiamen, China
Mengren Li
Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China
Key Lab of Urban Environment and Health, Institute of Urban
Environment, Chinese Academy of Sciences, Xiamen, China
Youwei Hong
CORRESPONDING AUTHOR
Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China
Key Lab of Urban Environment and Health, Institute of Urban
Environment, Chinese Academy of Sciences, Xiamen, China
Yanting Chen
Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China
Key Lab of Urban Environment and Health, Institute of Urban
Environment, Chinese Academy of Sciences, Xiamen, China
Xiaoting Ji
Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China
Key Lab of Urban Environment and Health, Institute of Urban
Environment, Chinese Academy of Sciences, Xiamen, China
University of Chinese Academy of Sciences, Beijing, China
Chen Yang
Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China
Key Lab of Urban Environment and Health, Institute of Urban
Environment, Chinese Academy of Sciences, Xiamen, China
University of Chinese Academy of Sciences, Beijing, China
Yuping Chen
Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China
Key Lab of Urban Environment and Health, Institute of Urban
Environment, Chinese Academy of Sciences, Xiamen, China
University of Chinese Academy of Sciences, Beijing, China
Weiguo Huang
State Key Laboratory of Structural Chemistry, Fujian Institute of
Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou,
China
Quanjia Huang
Xiamen Environmental Monitoring Station, Xiamen, China
Hong Wang
Fujian Meteorological Science Institute, Fujian Key Laboratory of
Severe Weather, Fuzhou, China
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Jiayan Shi, Yuping Chen, Lingling Xu, Youwei Hong, Mengren Li, Xiaolong Fan, Liqian Yin, Yanting Chen, Chen Yang, Gaojie Chen, Taotao Liu, Xiaoting Ji, and Jinsheng Chen
Atmos. Chem. Phys., 22, 11187–11202, https://doi.org/10.5194/acp-22-11187-2022, https://doi.org/10.5194/acp-22-11187-2022, 2022
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Gaseous elemental mercury (GEM) was observed in Southeast China over the period 2012–2020. The observed GEM concentrations showed no distinct inter-annual variation trends. The interpretation rate of transportation and meteorology on GEM variations displayed an increasing trend. In contrast, anthropogenic emissions have shown a decreasing interpretation rate since 2012, indicating the effectiveness of emission mitigation measures in reducing GEM concentrations in the study region.
Youwei Hong, Xinbei Xu, Dan Liao, Taotao Liu, Xiaoting Ji, Ke Xu, Chunyang Liao, Ting Wang, Chunshui Lin, and Jinsheng Chen
Atmos. Chem. Phys., 22, 7827–7841, https://doi.org/10.5194/acp-22-7827-2022, https://doi.org/10.5194/acp-22-7827-2022, 2022
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Secondary organic aerosol (SOA) simulation remains uncertain, due to the unknown SOA formation mechanisms. Aerosol samples with a 4 h time resolution were collected, along with online measurements of aerosol chemical compositions and meteorological parameters. We found that anthropogenic emissions, atmospheric oxidation capacity and halogen chemistry have significant effects on the formation of biogenic SOA (BSOA). The findings of this study are helpful to better explore the missed SOA sources.
Taotao Liu, Yiling Lin, Jinsheng Chen, Gaojie Chen, Chen Yang, Lingling Xu, Mengren Li, Xiaolong Fan, Yanting Chen, Liqian Yin, Yuping Chen, Xiaoting Ji, Ziyi Lin, Fuwang Zhang, Hong Wang, and Youwei Hong
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2022-292, https://doi.org/10.5194/acp-2022-292, 2022
Revised manuscript not accepted
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Field observations and models analysis were carried out in a coastal city to study HCHO formation mechanism and its impacts on photochemistry. HCHO contributed to atmospheric oxidation by around 10 %, reflecting its significance in photochemistry. Disabling HCHO mechanism made net O3 production rates decrease by 31 %, which were dominated by the reductions of pathways relating to radical reactions, indicating the HCHO affected O3 mainly by controlling the efficiencies of radical propagation.
Taotao Liu, Youwei Hong, Mengren Li, Lingling Xu, Jinsheng Chen, Yahui Bian, Chen Yang, Yangbin Dan, Yingnan Zhang, Likun Xue, Min Zhao, Zhi Huang, and Hong Wang
Atmos. Chem. Phys., 22, 2173–2190, https://doi.org/10.5194/acp-22-2173-2022, https://doi.org/10.5194/acp-22-2173-2022, 2022
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Based on the OBM-MCM model analyses, the study aims to clarify (1) the pollution characteristics of O3 and its precursors, (2) the atmospheric oxidation capacity and radical chemistry, and (3) the O3 formation mechanism and sensitivity analysis. The results are expected to enhance the understanding of the O3 formation mechanism with low O3 precursor levels and provide scientific evidence for O3 pollution control in coastal cities.
Lingjun Li, Mengren Li, Xiaolong Fan, Yuping Chen, Ziyi Lin, Anqi Hou, Siqing Zhang, Ronghua Zheng, and Jinsheng Chen
EGUsphere, https://doi.org/10.5194/egusphere-2024-2376, https://doi.org/10.5194/egusphere-2024-2376, 2024
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Aerosol hygroscopicity has a great impact on regional and global climate, air quality. Here, we show differences and variations in f(RH) between NPF and Non-NPF days and the effect of aerosol chemical compositions on f(RH) in Xiamen, the coastal city of southeast China by in situ observations. The findings are helpful for the further understanding about aerosol hygroscopicity in the coastal city, and the use of hygroscopic growth factors in the models of air quality and climate change.
Baoye Hu, Naihua Chen, Rui Li, Mingqiang Huang, Jinsheng Chen, Youwei Hong, Lingling Xu, Xiaolong Fan, Mengren Li, Lei Tong, Qiuping Zheng, and Yuxiang Yang
EGUsphere, https://doi.org/10.5194/egusphere-2024-2631, https://doi.org/10.5194/egusphere-2024-2631, 2024
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Box modeling with the master chemical mechanism (MCM) was used to address the puzzle of summertime PAN formation and its association with aerosol pollution under high ozone conditions. The MCM model proves to be an ideal tool for investigating PAN photochemical formation (IOA=0.75). The model performed better during the clean period than during the haze period. Through the machine learning method of XGBoost, we found that the top three factors leading to simulation bias were NH3, NO3, and PM2.5.
Gaojie Chen, Xiaolong Fan, Haichao Wang, Yee Jun Tham, Ziyi Lin, Xiaoting Ji, Lingling Xu, Baoye Hu, and Jinsheng Chen
EGUsphere, https://doi.org/10.5194/egusphere-2024-1638, https://doi.org/10.5194/egusphere-2024-1638, 2024
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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Our study revealed that the nighttime heterogeneous N2O5 uptake process was the major contributor of ClNO2 sources, while nitrate photolysis promoted the elevation of daytime ClNO2 concentrations. The rates of alkane oxidation by Cl radical in the early morning exceeded those by OH radical, significantly promoted the formation of ROx and O3, further enhanced the atmospheric oxidation capacity levels.
Youwei Hong, Keran Zhang, Dan Liao, Gaojie Chen, Min Zhao, Yiling Lin, Xiaoting Ji, Ke Xu, Yu Wu, Ruilian Yu, Gongren Hu, Sung-Deuk Choi, Likun Xue, and Jinsheng Chen
Atmos. Chem. Phys., 23, 10795–10807, https://doi.org/10.5194/acp-23-10795-2023, https://doi.org/10.5194/acp-23-10795-2023, 2023
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Particle uptakes of HCHO and the impacts on PM2.5 and O3 production remain highly uncertain. Based on the investigation of co-occurring wintertime O3 and PM2.5 pollution in a coastal city of southeast China, we found enhanced heterogeneous formation of hydroxymethanesulfonate (HMS) and increased ROx concentrations and net O3 production rates. The findings of this study are helpful to better explore the mechanisms of key precursors for co-occurring PM2.5 and O3 pollution.
Jiayan Shi, Yuping Chen, Lingling Xu, Youwei Hong, Mengren Li, Xiaolong Fan, Liqian Yin, Yanting Chen, Chen Yang, Gaojie Chen, Taotao Liu, Xiaoting Ji, and Jinsheng Chen
Atmos. Chem. Phys., 22, 11187–11202, https://doi.org/10.5194/acp-22-11187-2022, https://doi.org/10.5194/acp-22-11187-2022, 2022
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Gaseous elemental mercury (GEM) was observed in Southeast China over the period 2012–2020. The observed GEM concentrations showed no distinct inter-annual variation trends. The interpretation rate of transportation and meteorology on GEM variations displayed an increasing trend. In contrast, anthropogenic emissions have shown a decreasing interpretation rate since 2012, indicating the effectiveness of emission mitigation measures in reducing GEM concentrations in the study region.
Youwei Hong, Xinbei Xu, Dan Liao, Taotao Liu, Xiaoting Ji, Ke Xu, Chunyang Liao, Ting Wang, Chunshui Lin, and Jinsheng Chen
Atmos. Chem. Phys., 22, 7827–7841, https://doi.org/10.5194/acp-22-7827-2022, https://doi.org/10.5194/acp-22-7827-2022, 2022
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Secondary organic aerosol (SOA) simulation remains uncertain, due to the unknown SOA formation mechanisms. Aerosol samples with a 4 h time resolution were collected, along with online measurements of aerosol chemical compositions and meteorological parameters. We found that anthropogenic emissions, atmospheric oxidation capacity and halogen chemistry have significant effects on the formation of biogenic SOA (BSOA). The findings of this study are helpful to better explore the missed SOA sources.
Taotao Liu, Yiling Lin, Jinsheng Chen, Gaojie Chen, Chen Yang, Lingling Xu, Mengren Li, Xiaolong Fan, Yanting Chen, Liqian Yin, Yuping Chen, Xiaoting Ji, Ziyi Lin, Fuwang Zhang, Hong Wang, and Youwei Hong
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2022-292, https://doi.org/10.5194/acp-2022-292, 2022
Revised manuscript not accepted
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Field observations and models analysis were carried out in a coastal city to study HCHO formation mechanism and its impacts on photochemistry. HCHO contributed to atmospheric oxidation by around 10 %, reflecting its significance in photochemistry. Disabling HCHO mechanism made net O3 production rates decrease by 31 %, which were dominated by the reductions of pathways relating to radical reactions, indicating the HCHO affected O3 mainly by controlling the efficiencies of radical propagation.
Taotao Liu, Youwei Hong, Mengren Li, Lingling Xu, Jinsheng Chen, Yahui Bian, Chen Yang, Yangbin Dan, Yingnan Zhang, Likun Xue, Min Zhao, Zhi Huang, and Hong Wang
Atmos. Chem. Phys., 22, 2173–2190, https://doi.org/10.5194/acp-22-2173-2022, https://doi.org/10.5194/acp-22-2173-2022, 2022
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Based on the OBM-MCM model analyses, the study aims to clarify (1) the pollution characteristics of O3 and its precursors, (2) the atmospheric oxidation capacity and radical chemistry, and (3) the O3 formation mechanism and sensitivity analysis. The results are expected to enhance the understanding of the O3 formation mechanism with low O3 precursor levels and provide scientific evidence for O3 pollution control in coastal cities.
Baoye Hu, Jun Duan, Youwei Hong, Lingling Xu, Mengren Li, Yahui Bian, Min Qin, Wu Fang, Pinhua Xie, and Jinsheng Chen
Atmos. Chem. Phys., 22, 371–393, https://doi.org/10.5194/acp-22-371-2022, https://doi.org/10.5194/acp-22-371-2022, 2022
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There has been a lack of research into HONO in coastal cities with low concentrations of PM2.5, but strong sunlight and high humidity. Insufficient research on coastal cities with good air quality has resulted in certain obstacles to assessing the photochemical processes in these areas. Furthermore, HONO contributes to the atmospheric photochemistry depending on the season. Therefore, observations of HONO across four seasons in the southeastern coastal area of China are urgently needed.
Lingling Xu, Jiayan Shi, Yuping Chen, Yanru Zhang, Mengrong Yang, Yanting Chen, Liqian Yin, Lei Tong, Hang Xiao, and Jinsheng Chen
Atmos. Chem. Phys., 21, 18543–18555, https://doi.org/10.5194/acp-21-18543-2021, https://doi.org/10.5194/acp-21-18543-2021, 2021
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Mercury (Hg) isotopic compositions in aerosols are the mixed results of emission sources and atmospheric processes. This study presents Hg isotopic compositions in PM2.5 from different types of locations and total Hg from offshore surface seawater. The results indicate that atmospheric transformations induce significant mass independent fractionation of Hg isotopes, which obscures Hg isotopic signatures of initial emissions.
Zhixiong Chen, Jane Liu, Xugeng Cheng, Mengmiao Yang, and Hong Wang
Atmos. Chem. Phys., 21, 16911–16923, https://doi.org/10.5194/acp-21-16911-2021, https://doi.org/10.5194/acp-21-16911-2021, 2021
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Using a large ensemble of typhoons, we investigate the impacts of evolving typhoons on tropospheric ozone and address the linkages between typhoon-affected meteorological conditions and ozone variations. The influences of typhoon-induced stratospheric intrusions on lower-troposphere ozone are also quantified. Thus, the results obtained in this study have important implications for a full understanding of the multifaced roles of typhoons in modulating tropospheric ozone variation.
Baoye Hu, Jun Duan, Youwei Hong, Lingling Xu, Mengren Li, Yahui Bian, Min Qin, Wu Fang, Pinhua Xie, and Jinsheng Chen
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-880, https://doi.org/10.5194/acp-2020-880, 2020
Revised manuscript not accepted
Short summary
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There has been a lack of research into HONO in coastal cities with low concentrations of NOx and PM2.5, but strong sunlight and high humidity. Insufficient research on coastal cities with good air quality has resulted in certain obstacles to assessing the photochemical processes in these areas. Furthermore, HONO contributes to the atmospheric photochemistry depending on the season. Therefore, observations of HONO across four seasons in the southeastern coastal area of China are urgently needed.
Related subject area
Subject: Dynamics | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
Atmospheric oxidation capacity and ozone pollution mechanism in a coastal city of southeastern China: analysis of a typical photochemical episode by an observation-based model
Error induced by neglecting subgrid chemical segregation due to inefficient turbulent mixing in regional chemical-transport models in urban environments
Statistical regularization for trend detection: an integrated approach for detecting long-term trends from sparse tropospheric ozone profiles
The influence of typhoons on atmospheric composition deduced from IAGOS measurements over Taipei
Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative
Large-scale transport into the Arctic: the roles of the midlatitude jet and the Hadley Cell
Large-scale tropospheric transport in the Chemistry–Climate Model Initiative (CCMI) simulations
Multi-model study of mercury dispersion in the atmosphere: vertical and interhemispheric distribution of mercury species
CFD modeling of reactive pollutant dispersion in simplified urban configurations with different chemical mechanisms
Forty years of improvements in European air quality: regional policy-industry interactions with global impacts
Simulations of a cold-air pool associated with elevated wintertime ozone in the Uintah Basin, Utah
Tropical convective transport and the Walker circulation
Transport of short-lived species into the Tropical Tropopause Layer
Nudging technique for scale bridging in air quality/climate atmospheric composition modelling
On the segregation of chemical species in a clear boundary layer over heterogeneous land surfaces
SOSA – a new model to simulate the concentrations of organic vapours and sulphuric acid inside the ABL – Part 1: Model description and initial evaluation
Taotao Liu, Youwei Hong, Mengren Li, Lingling Xu, Jinsheng Chen, Yahui Bian, Chen Yang, Yangbin Dan, Yingnan Zhang, Likun Xue, Min Zhao, Zhi Huang, and Hong Wang
Atmos. Chem. Phys., 22, 2173–2190, https://doi.org/10.5194/acp-22-2173-2022, https://doi.org/10.5194/acp-22-2173-2022, 2022
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Based on the OBM-MCM model analyses, the study aims to clarify (1) the pollution characteristics of O3 and its precursors, (2) the atmospheric oxidation capacity and radical chemistry, and (3) the O3 formation mechanism and sensitivity analysis. The results are expected to enhance the understanding of the O3 formation mechanism with low O3 precursor levels and provide scientific evidence for O3 pollution control in coastal cities.
Cathy W. Y. Li, Guy P. Brasseur, Hauke Schmidt, and Juan Pedro Mellado
Atmos. Chem. Phys., 21, 483–503, https://doi.org/10.5194/acp-21-483-2021, https://doi.org/10.5194/acp-21-483-2021, 2021
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Intense and localised emissions of pollutants are common in urban environments, in which turbulence cannot mix these segregated pollutants efficiently in the atmosphere. Despite their relatively high resolution, regional models cannot resolve such segregation and assume instantaneous mixing of these pollutants in their model grids, which potentially induces significant error in the subsequent chemical calculation, based on our calculation with a model that explicitly resolves turbulent motions.
Kai-Lan Chang, Owen R. Cooper, Audrey Gaudel, Irina Petropavlovskikh, and Valérie Thouret
Atmos. Chem. Phys., 20, 9915–9938, https://doi.org/10.5194/acp-20-9915-2020, https://doi.org/10.5194/acp-20-9915-2020, 2020
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We provide a statistical framework for detecting trends of multiple autocorrelated time series from sparsely sampled profile data. The result is a better and more consistent quantification of trend estimates of vertical profile data. The focus was placed on the long-term ozone time series from commercial aircraft and balloon-borne ozonesonde measurements. This framework can be applied to other trace gases in the atmosphere.
Frank Roux, Hannah Clark, Kuo-Ying Wang, Susanne Rohs, Bastien Sauvage, and Philippe Nédélec
Atmos. Chem. Phys., 20, 3945–3963, https://doi.org/10.5194/acp-20-3945-2020, https://doi.org/10.5194/acp-20-3945-2020, 2020
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Ozone, carbon monoxide and relative humidity were measured by two China Airlines aircraft equipped with IAGOS instruments during the summer of 2016. We examined landing and take-off profiles near Taipei (Taiwan), in the vicinity of three typhoons, in relation to ERA-5 meteorological reanalyses. Upstream of the storms, these data suggest that air is transported downwards from the stratosphere. Downstream, the troposphere is cleaner and moister due to the uplift of marine boundary layer air.
Clara Orbe, David A. Plummer, Darryn W. Waugh, Huang Yang, Patrick Jöckel, Douglas E. Kinnison, Beatrice Josse, Virginie Marecal, Makoto Deushi, Nathan Luke Abraham, Alexander T. Archibald, Martyn P. Chipperfield, Sandip Dhomse, Wuhu Feng, and Slimane Bekki
Atmos. Chem. Phys., 20, 3809–3840, https://doi.org/10.5194/acp-20-3809-2020, https://doi.org/10.5194/acp-20-3809-2020, 2020
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Atmospheric composition is strongly influenced by global-scale winds that are not always properly simulated in computer models. A common approach to correct for this bias is to relax or
nudgeto the observed winds. Here we systematically evaluate how well this technique performs across a large suite of chemistry–climate models in terms of its ability to reproduce key aspects of both the tropospheric and stratospheric circulations.
Huang Yang, Darryn W. Waugh, Clara Orbe, Guang Zeng, Olaf Morgenstern, Douglas E. Kinnison, Jean-Francois Lamarque, Simone Tilmes, David A. Plummer, Patrick Jöckel, Susan E. Strahan, Kane A. Stone, and Robyn Schofield
Atmos. Chem. Phys., 19, 5511–5528, https://doi.org/10.5194/acp-19-5511-2019, https://doi.org/10.5194/acp-19-5511-2019, 2019
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We evaluate the performance of a suite of models in simulating the large-scale transport from the northern midlatitudes to the Arctic using a CO-like idealized tracer. We find a large multi-model spread of the Arctic concentration of this CO-like tracer that is well correlated with the differences in the location of the midlatitude jet as well as the northern Hadley Cell edge. Our results suggest the Hadley Cell is key and zonal-mean transport by surface meridional flow needs better constraint.
Clara Orbe, Huang Yang, Darryn W. Waugh, Guang Zeng, Olaf Morgenstern, Douglas E. Kinnison, Jean-Francois Lamarque, Simone Tilmes, David A. Plummer, John F. Scinocca, Beatrice Josse, Virginie Marecal, Patrick Jöckel, Luke D. Oman, Susan E. Strahan, Makoto Deushi, Taichu Y. Tanaka, Kohei Yoshida, Hideharu Akiyoshi, Yousuke Yamashita, Andreas Stenke, Laura Revell, Timofei Sukhodolov, Eugene Rozanov, Giovanni Pitari, Daniele Visioni, Kane A. Stone, Robyn Schofield, and Antara Banerjee
Atmos. Chem. Phys., 18, 7217–7235, https://doi.org/10.5194/acp-18-7217-2018, https://doi.org/10.5194/acp-18-7217-2018, 2018
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In this study we compare a few atmospheric transport properties among several numerical models that are used to study the influence of atmospheric chemistry on climate. We show that there are large differences among models in terms of the timescales that connect the Northern Hemisphere midlatitudes, where greenhouse gases and ozone-depleting substances are emitted, to the Southern Hemisphere. Our results may have important implications for how models represent atmospheric composition.
Johannes Bieser, Franz Slemr, Jesse Ambrose, Carl Brenninkmeijer, Steve Brooks, Ashu Dastoor, Francesco DeSimone, Ralf Ebinghaus, Christian N. Gencarelli, Beate Geyer, Lynne E. Gratz, Ian M. Hedgecock, Daniel Jaffe, Paul Kelley, Che-Jen Lin, Lyatt Jaegle, Volker Matthias, Andrei Ryjkov, Noelle E. Selin, Shaojie Song, Oleg Travnikov, Andreas Weigelt, Winston Luke, Xinrong Ren, Andreas Zahn, Xin Yang, Yun Zhu, and Nicola Pirrone
Atmos. Chem. Phys., 17, 6925–6955, https://doi.org/10.5194/acp-17-6925-2017, https://doi.org/10.5194/acp-17-6925-2017, 2017
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We conducted a multi model study to investigate our ability to reproduce the vertical distribution of mercury in the atmosphere. For this, we used observational data from over 40 aircraft flights in EU and US. We compared observations to the results of seven chemistry transport models and found that the models are able to reproduce vertical gradients of total and elemental Hg. Finally, we found that different chemical reactions seem responsible for the oxidation of Hg depending on altitude.
Beatriz Sanchez, Jose-Luis Santiago, Alberto Martilli, Magdalena Palacios, and Frank Kirchner
Atmos. Chem. Phys., 16, 12143–12157, https://doi.org/10.5194/acp-16-12143-2016, https://doi.org/10.5194/acp-16-12143-2016, 2016
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This paper is focused on analyzing the coupled behavior between dispersion of reactive pollutants and atmospheric dynamics in different atmospheric conditions using a computational fluid dynamics model. It allows one to provide the selection of the chemical reactions needed that gives the best compromise between accuracy in modeling NO and NO2 dispersion in the streets and the computational time required. The conclusions can be applied to future studies about modeling air quality in cities.
Monica Crippa, Greet Janssens-Maenhout, Frank Dentener, Diego Guizzardi, Katerina Sindelarova, Marilena Muntean, Rita Van Dingenen, and Claire Granier
Atmos. Chem. Phys., 16, 3825–3841, https://doi.org/10.5194/acp-16-3825-2016, https://doi.org/10.5194/acp-16-3825-2016, 2016
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The interplay of European air quality policies and technological advancement to reduce anthropogenic emissions avoided a dramatic deterioration of air quality in Europe and beyond over the last 40 years (e.g. fuel quality directives reduced global SO2 emissions by 88 %, while the EURO standards led to a 50 % reduction of PM2.5). The story told by the EDGAR retrospective scenarios can be informative for designing multi-pollutant abatement policies also in emerging economies.
E. M. Neemann, E. T. Crosman, J. D. Horel, and L. Avey
Atmos. Chem. Phys., 15, 135–151, https://doi.org/10.5194/acp-15-135-2015, https://doi.org/10.5194/acp-15-135-2015, 2015
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This paper uses numerical model simulations to investigate the meteorological characteristics of the 31 January–6 February 2013 cold-air pool (also know as a temperature 'inversion') in the Uintah Basin, Utah, and the resulting high ozone concentrations. A number of factors that influence cold pools and pollutant concentrations in the Uintah Basin are discussed, including snow cover, ice fog, and thermally driven flows.
J. S. Hosking, M. R. Russo, P. Braesicke, and J. A. Pyle
Atmos. Chem. Phys., 12, 9791–9797, https://doi.org/10.5194/acp-12-9791-2012, https://doi.org/10.5194/acp-12-9791-2012, 2012
M. J. Ashfold, N. R. P. Harris, E. L. Atlas, A. J. Manning, and J. A. Pyle
Atmos. Chem. Phys., 12, 6309–6322, https://doi.org/10.5194/acp-12-6309-2012, https://doi.org/10.5194/acp-12-6309-2012, 2012
A. Maurizi, F. Russo, M. D'Isidoro, and F. Tampieri
Atmos. Chem. Phys., 12, 3677–3685, https://doi.org/10.5194/acp-12-3677-2012, https://doi.org/10.5194/acp-12-3677-2012, 2012
H. G. Ouwersloot, J. Vilà-Guerau de Arellano, C. C. van Heerwaarden, L. N. Ganzeveld, M. C. Krol, and J. Lelieveld
Atmos. Chem. Phys., 11, 10681–10704, https://doi.org/10.5194/acp-11-10681-2011, https://doi.org/10.5194/acp-11-10681-2011, 2011
M. Boy, A. Sogachev, J. Lauros, L. Zhou, A. Guenther, and S. Smolander
Atmos. Chem. Phys., 11, 43–51, https://doi.org/10.5194/acp-11-43-2011, https://doi.org/10.5194/acp-11-43-2011, 2011
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Short summary
We clarified the seasonal variations of PAN pollution, influencing factors, its mechanisms, and impacts on O3 based on OBM and GAM models. PAN presented inhibition and promotion effects on O3 under low and high ROx levels. Monitoring of PAN and its precursors, and the quantification of its impacts on O3 formation, significantly guide photochemical pollution control. The analysis methods used in this study provide a reference for study of the formation mechanisms of PAN and O3 in other regions.
We clarified the seasonal variations of PAN pollution, influencing factors, its mechanisms, and...
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