Articles | Volume 24, issue 1
https://doi.org/10.5194/acp-24-649-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-24-649-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development of an integrated model framework for multi-air-pollutant exposure assessments in high-density cities
Zhiyuan Li
School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, China
Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China
Kin-Fai Ho
The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China
Harry Fung Lee
Department of Geography and Resource Management, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China
Asian School of the Environment, Nanyang Technological University, Singapore
Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
Earth Observatory of Singapore, Nanyang Technological University, Singapore
Related authors
No articles found.
Minxia Shen, Kin Fai Ho, Wenting Dai, Suixin Liu, Ting Zhang, Qiyuan Wang, Jingjing Meng, Judith C. Chow, John G. Watson, Junji Cao, and Jianjun Li
Atmos. Chem. Phys., 22, 7489–7504, https://doi.org/10.5194/acp-22-7489-2022, https://doi.org/10.5194/acp-22-7489-2022, 2022
Short summary
Short summary
Looking at characteristics and δ13C compositions of dicarboxylic acids and related compounds in BB aerosols, we used a combined combustion and aging system to generate fresh and aged aerosols from burning straw. The results showed the emission factors (EFaged) of total diacids of aging experiments were around an order of magnitude higher than EFfresh. This meant that dicarboxylic acids are involved with secondary photochemical processes in the atmosphere rather than primary emissions from BB.
Jiachen Zhu, Amos P. K. Tai, and Steve Hung Lam Yim
Atmos. Chem. Phys., 22, 765–782, https://doi.org/10.5194/acp-22-765-2022, https://doi.org/10.5194/acp-22-765-2022, 2022
Short summary
Short summary
This study assessed O3 damage to plant and the subsequent effects on meteorology and air quality in China, whereby O3, meteorology, and vegetation can co-evolve with each other. We provided comprehensive understanding about how O3–vegetation impacts adversely affect plant growth and crop production, and contribute to global warming and severe O3 air pollution in China. Our findings clearly pinpoint the need to consider the O3 damage effects in both air quality studies and climate change studies.
Qingqing He, Mengya Wang, and Steve Hung Lam Yim
Atmos. Chem. Phys., 21, 18375–18391, https://doi.org/10.5194/acp-21-18375-2021, https://doi.org/10.5194/acp-21-18375-2021, 2021
Short summary
Short summary
We explore the spatiotemporal relationship between PM2.5 and AOD over China using a multi-scale analysis with MODIS MAIAC 1 km aerosol observations and ground measurements. The impact factors (vertical distribution, relative humidity and terrain) on the relationship are quantitatively studied. Our results provide significant information on PM2.5 and AOD, which is informative for mapping high-resolution PM2.5 and furthering the understanding of aerosol properties and the PM2.5 pollution status.
Chenyao Jiang, Xin Jia, Xinggong Kong, Meng Ou, and Harry Fung Lee
Clim. Past Discuss., https://doi.org/10.5194/cp-2021-159, https://doi.org/10.5194/cp-2021-159, 2021
Revised manuscript not accepted
Short summary
Short summary
We reconstruct the paleo-underground water levels in six cities, based on 482 ancient water wells collected from published archaeological reports. We find that monsoon precipitation determined the groundwater table in inland regions, while temperature-induced sea-level changes influenced the groundwater table in coastal areas. Our findings reveal the huge potential of using archaeological materials to trace paleo-environmental changes and their driving factors.
Jianping Guo, Jian Zhang, Kun Yang, Hong Liao, Shaodong Zhang, Kaiming Huang, Yanmin Lv, Jia Shao, Tao Yu, Bing Tong, Jian Li, Tianning Su, Steve H. L. Yim, Ad Stoffelen, Panmao Zhai, and Xiaofeng Xu
Atmos. Chem. Phys., 21, 17079–17097, https://doi.org/10.5194/acp-21-17079-2021, https://doi.org/10.5194/acp-21-17079-2021, 2021
Short summary
Short summary
The planetary boundary layer (PBL) is the lowest part of the troposphere, and boundary layer height (BLH) is the depth of the PBL and is of critical importance to the dispersion of air pollution. The study presents the first near-global BLH climatology by using high-resolution (5-10 m) radiosonde measurements. The variations in BLH exhibit large spatial and temporal dependence, with a peak at 17:00 local solar time. The most promising reanalysis product is ERA-5 in terms of modeling BLH.
Zixia Liu, Martin Osborne, Karen Anderson, Jamie D. Shutler, Andy Wilson, Justin Langridge, Steve H. L. Yim, Hugh Coe, Suresh Babu, Sreedharan K. Satheesh, Paquita Zuidema, Tao Huang, Jack C. H. Cheng, and James Haywood
Atmos. Meas. Tech., 14, 6101–6118, https://doi.org/10.5194/amt-14-6101-2021, https://doi.org/10.5194/amt-14-6101-2021, 2021
Short summary
Short summary
This paper first validates the performance of an advanced aerosol observation instrument POPS against a reference instrument and examines any biases introduced by operating it on a quadcopter drone. The results show the POPS performs relatively well on the ground. The impact of the UAV rotors on the POPS is small at low wind speeds, but when operating under higher wind speeds, larger discrepancies occur. It appears that the POPS measures sub-micron aerosol particles more accurately on the UAV.
Ifeanyichukwu C. Nduka, Chi-Yung Tam, Jianping Guo, and Steve Hung Lam Yim
Atmos. Chem. Phys., 21, 13443–13454, https://doi.org/10.5194/acp-21-13443-2021, https://doi.org/10.5194/acp-21-13443-2021, 2021
Short summary
Short summary
This study analyzed the nature, mechanisms and drivers for hot-and-polluted episodes (HPEs) in the Pearl River Delta, China. A total of eight HPEs were identified and can be grouped into three clusters of HPEs that were respectively driven (1) by weak subsidence and convection induced by approaching tropical cyclones, (2) by calm conditions with low wind speed in the lower atmosphere and (3) by the combination of both aforementioned conditions.
Zhiyuan Li, Kin-Fai Ho, Hsiao-Chi Chuang, and Steve Hung Lam Yim
Atmos. Chem. Phys., 21, 5063–5078, https://doi.org/10.5194/acp-21-5063-2021, https://doi.org/10.5194/acp-21-5063-2021, 2021
Short summary
Short summary
This study established land-use regression (LUR) models using only routine air quality measurement data to support long-term health studies in an Asian metropolitan area. The established LUR models captured the spatial variability in exposure to air pollution with remarkable predictive accuracy. This is the first Asian study to evaluate intercity transferability of LUR models, and it highlights that there exist uncertainties when transferring LUR models between nearby cities.
Jianjun Li, Qi Zhang, Gehui Wang, Jin Li, Can Wu, Lang Liu, Jiayuan Wang, Wenqing Jiang, Lijuan Li, Kin Fai Ho, and Junji Cao
Atmos. Chem. Phys., 20, 4889–4904, https://doi.org/10.5194/acp-20-4889-2020, https://doi.org/10.5194/acp-20-4889-2020, 2020
Short summary
Short summary
We examined light absorption properties and molecular composition of water-soluble (WS) and water-insoluble (WI) BrC in PM2.5 collected from northwest China. We found that photochemical formation contributes significantly to light absorption of WI-BrC in summer, whereas aqueous-phase reactions play an important role in secondary WS-BrC formation in winter. BrC was estimated to account for 1.36 % and 3.74 %, respectively, of total down-welling solar radiation in the UV range in summer and winter.
Zhen Liu, Yi Ming, Chun Zhao, Ngar Cheung Lau, Jianping Guo, Massimo Bollasina, and Steve Hung Lam Yim
Atmos. Chem. Phys., 20, 223–241, https://doi.org/10.5194/acp-20-223-2020, https://doi.org/10.5194/acp-20-223-2020, 2020
Short summary
Short summary
OH and HO2 radicals are important trace constituents of the atmosphere that are closely coupled via several types of reaction. This paper describes a new laboratory method to simultaneously determine OH kinetics and HO2 yields from chemical processes. The instrument also provides some time resolution on HO2 detection allowing one to separate HO2 produced from the target reaction from HO2 arising from secondary chemistry. Examples of applications are presented.
Steve Hung Lam Yim, Yefu Gu, Matthew A. Shapiro, and Brent Stephens
Atmos. Chem. Phys., 19, 13309–13323, https://doi.org/10.5194/acp-19-13309-2019, https://doi.org/10.5194/acp-19-13309-2019, 2019
Short summary
Short summary
This study assessed and quantified the transboundary air pollution (TAP) impact in Japan and South Korea. We found that ~70 % of annual ambient PM2.5 in Japan and South Korea was contributed by other countries in the region, and wet deposition had a greater impact on mixed forests in Japan and savannas in South Korea. Given these significant impacts of TAP in the region, it is paramount that cross–national efforts be taken to mitigate air pollution problems across East Asia.
Hongmei Xu, Jean-François Léon, Cathy Liousse, Benjamin Guinot, Véronique Yoboué, Aristide Barthélémy Akpo, Jacques Adon, Kin Fai Ho, Steven Sai Hang Ho, Lijuan Li, Eric Gardrat, Zhenxing Shen, and Junji Cao
Atmos. Chem. Phys., 19, 6637–6657, https://doi.org/10.5194/acp-19-6637-2019, https://doi.org/10.5194/acp-19-6637-2019, 2019
Short summary
Short summary
This paper discusses the personal exposure characteristics and health implication of PM2.5 and bounded chemical species based on three anthropogenic sources and related populations (domestic fires for women, waste burning for students and motorcycle traffic for drivers) in Abidjan and Cotonou in dry and wet seasons of 2016. This work can be regarded as the first attempt at measuring personal exposure to PM2.5 and its related health risks in underdeveloped countries of Africa.
Guicai Ning, Shigong Wang, Steve Hung Lam Yim, Jixiang Li, Yuling Hu, Ziwei Shang, Jinyan Wang, and Jiaxin Wang
Atmos. Chem. Phys., 18, 13601–13615, https://doi.org/10.5194/acp-18-13601-2018, https://doi.org/10.5194/acp-18-13601-2018, 2018
Short summary
Short summary
Under the effects of the Tibetan Plateau, dry low-pressure systems are often formed at 700 hPa in the Sichuan Basin, China, during winter. Here, we found that the activities of these dry low-pressure systems have significant influence on most winter heavy air pollution events in the Sichuan Basin. Influencing mechanisms have been summarized. The strong inversion layer above the atmospheric boundary layer induced by the low-pressure system plays a key role in the formation of heavy air pollution.
Hsiang-He Lee, Oussama Iraqui, Yefu Gu, Steve Hung-Lam Yim, Apisada Chulakadabba, Adam Yiu-Ming Tonks, Zhengyu Yang, and Chien Wang
Atmos. Chem. Phys., 18, 6141–6156, https://doi.org/10.5194/acp-18-6141-2018, https://doi.org/10.5194/acp-18-6141-2018, 2018
Short summary
Short summary
Our study shows that across ASEAN 50 cities, these model results reveal that 39 % of observed low-visibility days can be explained by either fossil fuel burning or biomass burning emissions alone, a further 20 % by fossil fuel burning alone, a further 8 % by biomass burning alone, and a further 5 % by a combination of fossil fuel burning and biomass burning. The remaining 28 % of observed low-visibility days remains unexplained, likely due to emissions sources that have not been accounted for.
Yan-Lin Zhang, Imad El-Haddad, Ru-Jin Huang, Kin-Fai Ho, Jun-Ji Cao, Yongming Han, Peter Zotter, Carlo Bozzetti, Kaspar R. Daellenbach, Jay G. Slowik, Gary Salazar, André S. H. Prévôt, and Sönke Szidat
Atmos. Chem. Phys., 18, 4005–4017, https://doi.org/10.5194/acp-18-4005-2018, https://doi.org/10.5194/acp-18-4005-2018, 2018
Short summary
Short summary
Here we present a quantitative source apportionment of WSOC, isolated from aerosols in China using radiocarbon (14C) and offline high-resolution time of flight aerosol mass spectrometer measurements. We demonstrate a dominant contribution of non-fossil emissions to WSOC aerosols in the Northern Hemisphere. However, the fossil fraction is substantially larger in aerosols from East Asia and the east Asian pollution outflow, especially during winter, due to increasing coal combustion.
Yunfei Wu, Xiaojia Wang, Jun Tao, Rujin Huang, Ping Tian, Junji Cao, Leiming Zhang, Kin-Fai Ho, Zhiwei Han, and Renjian Zhang
Atmos. Chem. Phys., 17, 7965–7975, https://doi.org/10.5194/acp-17-7965-2017, https://doi.org/10.5194/acp-17-7965-2017, 2017
Short summary
Short summary
As black carbon (BC) aerosols play an important role in the climate and environment, the size distribution of refractory BC (rBC) was investigated. On this basis, the source of rBC was further analyzed. The local traffic exhausts contributed greatly to the rBC in urban areas. However, its contribution decreased significantly in the polluted period compared to the clean period, implying the increasing contribution of other sources, e.g., coal combustion or biomass burning, in the polluted period.
Long Cui, Zhou Zhang, Yu Huang, Shun Cheng Lee, Donald Ray Blake, Kin Fai Ho, Bei Wang, Yuan Gao, Xin Ming Wang, and Peter Kwok Keung Louie
Atmos. Meas. Tech., 9, 5763–5779, https://doi.org/10.5194/amt-9-5763-2016, https://doi.org/10.5194/amt-9-5763-2016, 2016
Short summary
Short summary
In this manuscript, the effect of ambient RH and T on HCHO measurements by PTR-MS was investigated, and the Poly 2-D regression was found to be a good nonlinear surface simulation of R (RH, T) for correcting measured HCHO concentration. Intercomparisons between PTR-MS and other OVOC and VOC measuring techniques were conducted through a field study in urban roadside areas of Hong Kong primarily, and good agreements were found between these different techniques.
K. F. Ho, R.-J. Huang, K. Kawamura, E. Tachibana, S. C. Lee, S. S. H. Ho, T. Zhu, and L. Tian
Atmos. Chem. Phys., 15, 3111–3123, https://doi.org/10.5194/acp-15-3111-2015, https://doi.org/10.5194/acp-15-3111-2015, 2015
Short summary
Short summary
The objective of this study is to identify the influence of traffic emissions and regional transport to the atmosphere in Beijing during the CAREBeijing-2007 in summer. This study demonstrates that even when primary exhaust was controlled by traffic restrictions, the contribution of secondary organic species formed from photochemical processes was critical with long-range atmospheric transport of pollutants.
Y.-L. Zhang, R.-J. Huang, I. El Haddad, K.-F. Ho, J.-J. Cao, Y. Han, P. Zotter, C. Bozzetti, K. R. Daellenbach, F. Canonaco, J. G. Slowik, G. Salazar, M. Schwikowski, J. Schnelle-Kreis, G. Abbaszade, R. Zimmermann, U. Baltensperger, A. S. H. Prévôt, and S. Szidat
Atmos. Chem. Phys., 15, 1299–1312, https://doi.org/10.5194/acp-15-1299-2015, https://doi.org/10.5194/acp-15-1299-2015, 2015
Short summary
Short summary
Source apportionment of fine carbonaceous aerosols using radiocarbon and other organic markers measurements during 2013 winter haze episodes was conducted at four megacities in China. Our results demonstrate that fossil emissions predominate EC with a mean contribution of 75±8%, whereas non-fossil sources account for 55±10% of OC; and the increment of TC on heavily polluted days was mainly driven by the increase of secondary OC from both fossil-fuel and non-fossil emissions.
R.-J. Huang, W.-B. Li, Y.-R. Wang, Q. Y. Wang, W. T. Jia, K.-F. Ho, J. J. Cao, G. H. Wang, X. Chen, I. EI Haddad, Z. X. Zhuang, X. R. Wang, A. S. H. Prévôt, C. D. O'Dowd, and T. Hoffmann
Atmos. Meas. Tech., 7, 2027–2035, https://doi.org/10.5194/amt-7-2027-2014, https://doi.org/10.5194/amt-7-2027-2014, 2014
L. Xing, T.-M. Fu, J. J. Cao, S. C. Lee, G. H. Wang, K. F. Ho, M.-C. Cheng, C.-F. You, and T. J. Wang
Atmos. Chem. Phys., 13, 4307–4318, https://doi.org/10.5194/acp-13-4307-2013, https://doi.org/10.5194/acp-13-4307-2013, 2013
Related subject area
Subject: Aerosols | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
CAMx–UNIPAR simulation of secondary organic aerosol mass formed from multiphase reactions of hydrocarbons under the Central Valley urban atmospheres of California
Impact of urbanization on fine particulate matter concentrations over central Europe
Measurement report: Assessing the impacts of emission uncertainty on aerosol optical properties and radiative forcing from biomass burning in peninsular Southeast Asia
The Emissions Model Intercomparison Project (Emissions-MIP): quantifying model sensitivity to emission characteristics
Dynamics-based estimates of decline trend with fine temporal variations in China's PM2.5 emissions
Effects of simulated secondary organic aerosol water on PM1 levels and composition over the US
Reactive organic carbon air emissions from mobile sources in the United States
Development and evaluation of processes affecting simulation of diel fine particulate matter variation in the GEOS-Chem model
Frequent haze events associated with transport and stagnation over the corridor between North China Plain and Yangtze River Delta
Substantially positive contributions of new particle formation to cloud condensation nuclei under low supersaturation in China based on numerical model improvements
Evolution of atmospheric age of particles and its implications for the formation of a severe haze event in eastern China
A multimodel evaluation of the potential impact of shipping on particle species in the Mediterranean Sea
pH regulates the formation of organosulfates and inorganic sulfate from organic peroxides reaction with dissolved SO2 in aquatic media
Contribution of intermediate volatility organic compounds from on-road transport to secondary organic aerosol levels in Europe
How does tropospheric VOC chemistry affect climate? An investigation of preindustrial control simulations using the Community Earth System Model version 2
Technical Note: Accurate, reliable and high resolution air quality predictions by improving the Copernicus Atmosphere Monitoring Service using machine learning techniques
Anthropogenic amplification of biogenic secondary organic aerosol production
A dynamic parameterization of sulfuric acid–dimethylamine nucleation and its application in three-dimensional modeling
Evaluation of WRF-Chem simulated meteorology and aerosols over northern India during the severe pollution episode of 2016
Modeling dust mineralogical composition: sensitivity to soil mineralogy atlases and their expected climate impacts
Assessment of the impacts of cloud chemistry on surface SO2 and sulfate levels in typical regions of China
Impact of Landes forest fires on air quality in France during the 2022 summer
Global nitrogen and sulfur deposition mapping using a measurement–model fusion approach
Comprehensive simulations of new particle formation events in Beijing with a cluster dynamics–multicomponent sectional model
Implications of differences between recent anthropogenic aerosol emission inventories for diagnosed AOD and radiative forcing from 1990 to 2019
Unbalanced emission reductions of different species and sectors in China during COVID-19 lockdown derived by multi-species surface observation assimilation
Simulating organic aerosol in Delhi with WRF-Chem using the volatility-basis-set approach: exploring model uncertainty with a Gaussian process emulator
Modelling wintertime sea-spray aerosols under Arctic haze conditions
Impact of solar geoengineering on wildfires in the 21st century in CESM2/WACCM6
Linking gas, particulate, and toxic endpoints to air emissions in the Community Regional Atmospheric Chemistry Multiphase Mechanism (CRACMM)
An Updated Modeling Framework to Simulate Los Angeles Air Quality. Part 1: Model Development, Evaluation, and Source Apportionment
How well are aerosol-cloud interactions represented in climate models? Part 1: Understanding the sulphate aerosol production from the 2014–15 Holuhraun eruption
Contribution of regional aerosol nucleation to low-level CCN in an Amazonian deep convective environment: results from a regionally nested global model
Coarse particulate matter air quality in East Asia: implications for fine particulate nitrate
Foreign emissions exacerbate PM2.5 pollution in China through nitrate chemistry
Analysis of new particle formation events and comparisons to simulations of particle number concentrations based on GEOS-Chem–advanced particle microphysics in Beijing, China
Simulation of organic aerosol, its precursors, and related oxidants in the Landes pine forest in southwestern France: accounting for domain-specific land use and physical conditions
Modelling the European wind-blown dust emissions and their impact on particulate matter (PM) concentrations
Impacts of estimated plume rise on PM2.5 exceedance prediction during extreme wildfire events: a comparison of three schemes (Briggs, Freitas, and Sofiev)
Strong particle production and condensational growth in the upper troposphere sustained by biogenic VOCs from the canopy of the Amazon Basin
Sources of organic aerosols in eastern China: a modeling study with high-resolution intermediate-volatility and semivolatile organic compound emissions
Composited analyses of the chemical and physical characteristics of co-polluted days by ozone and PM2.5 over 2013–2020 in the Beijing–Tianjin–Hebei region
Observation-based constraints on modeled aerosol surface area: implications for heterogeneous chemistry
Oligomer formation from the gas-phase reactions of Criegee intermediates with hydroperoxide esters: mechanism and kinetics
Modelling SO2 conversion into sulfates in the mid-troposphere with a 3D chemistry transport model: the case of Mount Etna's eruption on 12 April 2012
Global distribution of Asian, Middle Eastern, and North African dust simulated by CESM1/CARMA
Opinion: Coordinated development of emission inventories for climate forcers and air pollutants
Seasonal modeling analysis of nitrate formation pathways in Yangtze River Delta region, China
Modeling radiative and climatic effects of brown carbon aerosols with the ARPEGE-Climat global climate model
Numerical simulation of the impact of COVID-19 lockdown on tropospheric composition and aerosol radiative forcing in Europe
Yujin Jo, Myoseon Jang, Sanghee Han, Azad Madhu, Bonyoung Koo, Yiqin Jia, Zechen Yu, Soontae Kim, and Jinsoo Park
Atmos. Chem. Phys., 24, 487–508, https://doi.org/10.5194/acp-24-487-2024, https://doi.org/10.5194/acp-24-487-2024, 2024
Short summary
Short summary
The CAMx–UNIPAR model simulated the SOA budget formed via multiphase reactions of hydrocarbons and the impact of emissions and climate on SOA characteristics under California’s urban environments during winter 2018. SOA growth was dominated by daytime oxidation of long-chain alkanes and nighttime terpene oxidation with O3 and NO−3 radicals. The spatial distributions of anthropogenic SOA were affected by the northwesterly wind, whereas those of biogenic SOA were insensitive to wind directions.
Peter Huszar, Alvaro Patricio Prieto Perez, Lukáš Bartík, Jan Karlický, and Anahi Villalba-Pradas
Atmos. Chem. Phys., 24, 397–425, https://doi.org/10.5194/acp-24-397-2024, https://doi.org/10.5194/acp-24-397-2024, 2024
Short summary
Short summary
Urbanization transforms rural land into artificial land, while due to human activities, it also introduces a great quantity of emissions. We quantify the impact of urbanization on the final particulate matter pollutant levels by looking not only at these emissions, but also at the way urban land cover influences meteorological conditions, how the removal of pollutants changes due to urban land cover, and how biogenic emissions from vegetation change due to less vegetation in urban areas.
Yinbao Jin, Yiming Liu, Xiao Lu, Xiaoyang Chen, Ao Shen, Haofan Wang, Yinping Cui, Yifei Xu, Siting Li, Jian Liu, Ming Zhang, Yingying Ma, and Qi Fan
Atmos. Chem. Phys., 24, 367–395, https://doi.org/10.5194/acp-24-367-2024, https://doi.org/10.5194/acp-24-367-2024, 2024
Short summary
Short summary
This study aims to address these issues by evaluating eight independent biomass burning (BB) emission inventories (GFED, FINN1.5, FINN2.5 MOS, FINN2.5 MOSVIS, GFAS, FEER, QFED, and IS4FIRES) using the WRF-Chem model and analyzing their impact on aerosol optical properties (AOPs) and direct radiative forcing (DRF) during wildfire events in peninsular Southeast Asia (PSEA) that occurred in March 2019.
Hamza Ahsan, Hailong Wang, Jingbo Wu, Mingxuan Wu, Steven J. Smith, Susanne Bauer, Harrison Suchyta, Dirk Olivié, Gunnar Myhre, Hitoshi Matsui, Huisheng Bian, Jean-François Lamarque, Ken Carslaw, Larry Horowitz, Leighton Regayre, Mian Chin, Michael Schulz, Ragnhild Bieltvedt Skeie, Toshihiko Takemura, and Vaishali Naik
Atmos. Chem. Phys., 23, 14779–14799, https://doi.org/10.5194/acp-23-14779-2023, https://doi.org/10.5194/acp-23-14779-2023, 2023
Short summary
Short summary
We examine the impact of the assumed effective height of SO2 injection, SO2 and BC emission seasonality, and the assumed fraction of SO2 emissions injected as SO4 on climate and chemistry model results. We find that the SO2 injection height has a large impact on surface SO2 concentrations and, in some models, radiative flux. These assumptions are a
hiddensource of inter-model variability and may be leading to bias in some climate model results.
Zhen Peng, Lili Lei, Zhe-Min Tan, Meigen Zhang, Aijun Ding, and Xingxia Kou
Atmos. Chem. Phys., 23, 14505–14520, https://doi.org/10.5194/acp-23-14505-2023, https://doi.org/10.5194/acp-23-14505-2023, 2023
Short summary
Short summary
Annual PM2.5 emissions in China consistently decreased by about 3% to 5% from 2017 to 2020 with spatial variations and seasonal dependencies. High-temporal-resolution and dynamics-based PM2.5 emission estimates provide quantitative diurnal variations for each season. Significant reductions in PM2.5 emissions in the North China Plain and northeast of China in 2020 were caused by COVID-19.
Stylianos Kakavas, Spyros N. Pandis, and Athanasios Nenes
Atmos. Chem. Phys., 23, 13555–13564, https://doi.org/10.5194/acp-23-13555-2023, https://doi.org/10.5194/acp-23-13555-2023, 2023
Short summary
Short summary
Water uptake from organic species in aerosol can affect the partitioning of semi-volatile inorganic compounds but are not considered in global and chemical transport models. We address this with a version of the PM-CAMx model that considers such organic water effects and use it to carry out 1-year aerosol simulations over the continental US. We show that such organic water impacts can increase dry PM1 levels by up to 2 μg m-3 when RH levels and PM1 concentrations are high.
Benjamin N. Murphy, Darrell Sonntag, Karl M. Seltzer, Havala O. T. Pye, Christine Allen, Evan Murray, Claudia Toro, Drew R. Gentner, Cheng Huang, Shantanu Jathar, Li Li, Andrew A. May, and Allen L. Robinson
Atmos. Chem. Phys., 23, 13469–13483, https://doi.org/10.5194/acp-23-13469-2023, https://doi.org/10.5194/acp-23-13469-2023, 2023
Short summary
Short summary
We update methods for calculating organic particle and vapor emissions from mobile sources in the USA. Conventionally, particulate matter (PM) and volatile organic carbon (VOC) are speciated without consideration of primary semivolatile emissions. Our methods integrate state-of-the-science speciation profiles and correct for common artifacts when sampling emissions in a laboratory. We quantify impacts of the emission updates on ambient pollution with the Community Multiscale Air Quality model.
Yanshun Li, Randall V. Martin, Chi Li, Brian L. Boys, Aaron van Donkelaar, Jun Meng, and Jeffrey R. Pierce
Atmos. Chem. Phys., 23, 12525–12543, https://doi.org/10.5194/acp-23-12525-2023, https://doi.org/10.5194/acp-23-12525-2023, 2023
Short summary
Short summary
We developed and evaluated processes affecting within-day (diel) variability in PM2.5 concentrations in a chemical transport model over the contiguous US. Diel variability in PM2.5 for the contiguous US is driven by early-morning accumulation into a shallow mixed layer, decreases from mid-morning through afternoon with mixed-layer growth, increases from mid-afternoon through evening as the mixed-layer collapses, and decreases overnight as emissions decrease.
Feifan Yan, Hang Su, Yafang Cheng, Rujin Huang, Hong Liao, Ting Yang, Yuanyuan Zhu, Shaoqing Zhang, Lifang Sheng, Wenbin Kou, Xinran Zeng, Shengnan Xiang, Xiaohong Yao, Huiwang Gao, and Yang Gao
EGUsphere, https://doi.org/10.5194/egusphere-2023-1871, https://doi.org/10.5194/egusphere-2023-1871, 2023
Short summary
Short summary
PM2.5 pollution is a major air quality issue deteriorating human health, and previous studies mostly focus on PM2.5 pollution in regions like North China Plain and Yangtze River Delta. However, the characteristics of PM2.5 concentrations between these two regions are less studied. Focusing on the transport corridor region, we identify an interesting seesaw transport phenomenon with stagnant weather conditions, conducive to PM2.5 accumulation over this region, resulting in large health effects.
Chupeng Zhang, Shangfei Hai, Yang Gao, Yuhang Wang, Shaoqing Zhang, Lifang Sheng, Bin Zhao, Shuxiao Wang, Jingkun Jiang, Xin Huang, Xiaojing Shen, Junying Sun, Aura Lupascu, Manish Shrivastava, Jerome D. Fast, Wenxuan Cheng, Xiuwen Guo, Ming Chu, Nan Ma, Juan Hong, Qiaoqiao Wang, Xiaohong Yao, and Huiwang Gao
Atmos. Chem. Phys., 23, 10713–10730, https://doi.org/10.5194/acp-23-10713-2023, https://doi.org/10.5194/acp-23-10713-2023, 2023
Short summary
Short summary
New particle formation is an important source of atmospheric particles, exerting critical influences on global climate. Numerical models are vital tools to understanding atmospheric particle evolution, which, however, suffer from large biases in simulating particle numbers. Here we improve the model chemical processes governing particle sizes and compositions. The improved model reveals substantial contributions of newly formed particles to climate through effects on cloud condensation nuclei.
Xiaodong Xie, Jianlin Hu, Momei Qin, Song Guo, Min Hu, Dongsheng Ji, Hongli Wang, Shengrong Lou, Cheng Huang, Chong Liu, Hongliang Zhang, Qi Ying, Hong Liao, and Yuanhang Zhang
Atmos. Chem. Phys., 23, 10563–10578, https://doi.org/10.5194/acp-23-10563-2023, https://doi.org/10.5194/acp-23-10563-2023, 2023
Short summary
Short summary
The atmospheric age of particles reflects how long particles have been formed and suspended in the atmosphere, which is closely associated with the evolution processes of particles. An analysis of the atmospheric age of PM2.5 provides a unique perspective on the evolution processes of different PM2.5 components. The results also shed lights on how to design effective emission control actions under unfavorable meteorological conditions.
Lea Fink, Matthias Karl, Volker Matthias, Sonia Oppo, Richard Kranenburg, Jeroen Kuenen, Sara Jutterström, Jana Moldanova, Elisa Majamäki, and Jukka-Pekka Jalkanen
Atmos. Chem. Phys., 23, 10163–10189, https://doi.org/10.5194/acp-23-10163-2023, https://doi.org/10.5194/acp-23-10163-2023, 2023
Short summary
Short summary
The Mediterranean Sea is a heavily trafficked shipping area, and air quality monitoring stations in numerous cities along the Mediterranean coast have detected high levels of air pollutants originating from shipping emissions. The current study investigates how existing restrictions on shipping-related emissions to the atmosphere ensure compliance with legislation. Focus was laid on fine particles and particle species, which were simulated with five different chemical transport models.
Lin Du, Xiaofan Lv, Makroni Lily, Kun Li, and Narcisse Tsona Tchinda
EGUsphere, https://doi.org/10.5194/egusphere-2023-2044, https://doi.org/10.5194/egusphere-2023-2044, 2023
Short summary
Short summary
This study explores the pH effect on the reaction of dissolved SO2 with selected organic peroxides. Results show that formation of organic and/or inorganic sulfate from these peroxides strongly depends on their electronic structures, and they are likely to affect the chemical composition of dissolved organic matter in different ways. The rate constants of these reactions exhibit positive pH and temperature dependencies within pH 1 – 10 and 240 K – 340 K ranges.
Stella E. I. Manavi and Spyros N. Pandis
EGUsphere, https://doi.org/10.5194/egusphere-2023-1760, https://doi.org/10.5194/egusphere-2023-1760, 2023
Short summary
Short summary
Organic vapors of intermediate volatility have often been neglected as sources of atmospheric organic aerosol. In this work we use a new approach for their simulation and quantify the contribution of these compounds emitted by transportation sources (gasoline and diesel vehicles) to particulate matter over Europe. The estimated secondary organic aerosol levels are on average 60 % higher than predicted by previous approaches. However, these estimates are probably lower limits.
Noah A. Stanton and Neil F. Tandon
Atmos. Chem. Phys., 23, 9191–9216, https://doi.org/10.5194/acp-23-9191-2023, https://doi.org/10.5194/acp-23-9191-2023, 2023
Short summary
Short summary
Chemistry in Earth’s atmosphere has a potentially strong but very uncertain impact on climate. Past attempts to fully model chemistry in Earth’s troposphere (the lowest layer of the atmosphere) typically simplified the representation of Earth’s surface, which in turn limited the ability to simulate changes in climate. The cutting-edge model that we use in this study does not require such simplification, and we use it to examine the climate effects of chemical interactions in the troposphere.
Angelo Riccio and Elena Chianese
EGUsphere, https://doi.org/10.5194/egusphere-2023-1015, https://doi.org/10.5194/egusphere-2023-1015, 2023
Short summary
Short summary
Starting from the Copernicus Atmosphere Monitoring Service (CAMS), we provided a novel ensemble statistical post-processing approach to improve their air quality predictions. Our approach is able to provide reliable short-term forecasts of pollutant concentrations, which is a key challenge to support national authorities in their tasks related to EU Air Quality Directives, such as planning and reporting the state of air quality to the citizens.
Yiqi Zheng, Larry W. Horowitz, Raymond Menzel, David J. Paynter, Vaishali Naik, Jingyi Li, and Jingqiu Mao
Atmos. Chem. Phys., 23, 8993–9007, https://doi.org/10.5194/acp-23-8993-2023, https://doi.org/10.5194/acp-23-8993-2023, 2023
Short summary
Short summary
Biogenic secondary organic aerosols (SOAs) account for a large fraction of fine aerosol at the global scale. Using long-term measurements and a climate model, we investigate anthropogenic impacts on biogenic SOA at both decadal and centennial timescales. Results show that despite reductions in biogenic precursor emissions, SOA has been strongly amplified by anthropogenic emissions since the preindustrial era and exerts a cooling radiative forcing.
Yuyang Li, Jiewen Shen, Bin Zhao, Runlong Cai, Shuxiao Wang, Yang Gao, Manish Shrivastava, Da Gao, Jun Zheng, Markku Kulmala, and Jingkun Jiang
Atmos. Chem. Phys., 23, 8789–8804, https://doi.org/10.5194/acp-23-8789-2023, https://doi.org/10.5194/acp-23-8789-2023, 2023
Short summary
Short summary
We set up a new parameterization for 1.4 nm particle formation rates from sulfuric acid–dimethylamine (SA–DMA) nucleation, fully including the effects of coagulation scavenging and cluster stability. Incorporating the new parameterization into 3-D chemical transport models, we achieved better consistencies between simulation results and observation data. This new parameterization provides new insights into atmospheric nucleation simulations and its effects on atmospheric pollution or health.
Prerita Agarwal, David S. Stevenson, and Mathew R. Heal
EGUsphere, https://doi.org/10.5194/egusphere-2023-1150, https://doi.org/10.5194/egusphere-2023-1150, 2023
Short summary
Short summary
Air pollution levels across northern India are amongst some of the worst in the world, with episodic and hazardous haze events. Here, the ability of the WRF-Chem model to predict air quality over northern India is assessed against many datasets. Whilst surface wind speed and particle pollution peaks are over and underestimated, respectively, meteorology and aerosol trends are adequately captured and we conclude it is suitable for investigating aerosol-meteorology interactions over the region.
María Gonçalves Ageitos, Vincenzo Obiso, Ron L. Miller, Oriol Jorba, Martina Klose, Matt Dawson, Yves Balkanski, Jan Perlwitz, Sara Basart, Enza Di Tomaso, Jerónimo Escribano, Francesca Macchia, Gilbert Montané, Natalie M. Mahowald, Robert O. Green, David R. Thompson, and Carlos Pérez García-Pando
Atmos. Chem. Phys., 23, 8623–8657, https://doi.org/10.5194/acp-23-8623-2023, https://doi.org/10.5194/acp-23-8623-2023, 2023
Short summary
Short summary
Dust aerosols affect our climate differently depending on their mineral composition. We include dust mineralogy in an atmospheric model considering two existing soil maps, which still have large associated uncertainties. The soil data and the distribution of the minerals in different aerosol sizes are key to our model performance. We find significant regional variations in climate-relevant variables, which supports including mineralogy in our current models and the need for improved soil maps.
Jianyan Lu, Sunling Gong, Jian Zhang, Jianmin Chen, Lei Zhang, and Chunhong Zhou
Atmos. Chem. Phys., 23, 8021–8037, https://doi.org/10.5194/acp-23-8021-2023, https://doi.org/10.5194/acp-23-8021-2023, 2023
Short summary
Short summary
WRF/CUACE was used to assess the cloud chemistry contribution in China. Firstly, the CUACE cloud chemistry scheme was found to reproduce well the cloud processing and consumption of H2O2, O3, and SO2, as well as the increase of sulfate. Secondly, during cloud availability in December under a heavy pollution episode, sulfate production increased 60–95 % and SO2 was reduced by over 80 %. This study provides a way to analyze the phenomenon of overestimation of SO2 in many chemical transport models.
Laurent Menut, Arineh Cholakian, Guillaume Siour, Rémy Lapere, Romain Pennel, Sylvain Mailler, and Bertrand Bessagnet
Atmos. Chem. Phys., 23, 7281–7296, https://doi.org/10.5194/acp-23-7281-2023, https://doi.org/10.5194/acp-23-7281-2023, 2023
Short summary
Short summary
This study is about the wildfires occurring in France during the summer 2022. We study the forest fires that took place in the Landes during the summer of 2022. We show the direct impact of these fires on the air quality, especially downstream of the smoke plume towards the Paris region. We quantify the impact of these fires on the pollutants peak concentrations and the possible exceedance of thresholds.
Hannah J. Rubin, Joshua S. Fu, Frank Dentener, Rui Li, Kan Huang, and Hongbo Fu
Atmos. Chem. Phys., 23, 7091–7102, https://doi.org/10.5194/acp-23-7091-2023, https://doi.org/10.5194/acp-23-7091-2023, 2023
Short summary
Short summary
We update the 2010 global deposition budget for nitrogen (N) and sulfur (S) with new regional wet deposition measurements, improving the ensemble results of 11 global chemistry transport models from HTAP II. Our study demonstrates that a global measurement–model fusion approach can substantially improve N and S deposition model estimates at a regional scale and represents a step forward toward the WMO goal of global fusion products for accurately mapping harmful air pollution.
Chenxi Li, Yuyang Li, Xiaoxiao Li, Runlong Cai, Yaxin Fan, Xiaohui Qiao, Rujing Yin, Chao Yan, Yishuo Guo, Yongchun Liu, Jun Zheng, Veli-Matti Kerminen, Markku Kulmala, Huayun Xiao, and Jingkun Jiang
Atmos. Chem. Phys., 23, 6879–6896, https://doi.org/10.5194/acp-23-6879-2023, https://doi.org/10.5194/acp-23-6879-2023, 2023
Short summary
Short summary
New particle formation and growth in polluted environments are not fully understood despite intensive research. We applied a cluster dynamics–multicomponent sectional model to simulate the new particle formation events observed in Beijing, China. The simulation approximately captures how the events evolve. Further diagnosis shows that the oxygenated organic molecules may have been under-detected, and modulating their abundance leads to significantly improved simulation–observation agreement.
Marianne Tronstad Lund, Gunnar Myhre, Ragnhild Bieltvedt Skeie, Bjørn Hallvard Samset, and Zbigniew Klimont
Atmos. Chem. Phys., 23, 6647–6662, https://doi.org/10.5194/acp-23-6647-2023, https://doi.org/10.5194/acp-23-6647-2023, 2023
Short summary
Short summary
Here we show that differences, in magnitude and trend, between recent global anthropogenic emission inventories have a notable influence on simulated regional abundances of anthropogenic aerosol over the 1990–2019 period. This, in turn, affects estimates of radiative forcing. Our findings form a basis for comparing existing and upcoming studies on anthropogenic aerosols using different emission inventories.
Lei Kong, Xiao Tang, Jiang Zhu, Zifa Wang, Yele Sun, Pingqing Fu, Meng Gao, Huangjian Wu, Miaomiao Lu, Qian Wu, Shuyuan Huang, Wenxuan Sui, Jie Li, Xiaole Pan, Lin Wu, Hajime Akimoto, and Gregory R. Carmichael
Atmos. Chem. Phys., 23, 6217–6240, https://doi.org/10.5194/acp-23-6217-2023, https://doi.org/10.5194/acp-23-6217-2023, 2023
Short summary
Short summary
A multi-air-pollutant inversion system has been developed in this study to estimate emission changes in China during COVID-19 lockdown. The results demonstrate that the lockdown is largely a nationwide road traffic control measure with NOx emissions decreasing by ~40 %. Emissions of other species only decreased by ~10 % due to smaller effects of lockdown on other sectors. Assessment results further indicate that the lockdown only had limited effects on the control of PM2.5 and O3 in China.
Ernesto Reyes-Villegas, Douglas Lowe, Jill S. Johnson, Kenneth S. Carslaw, Eoghan Darbyshire, Michael Flynn, James D. Allan, Hugh Coe, Ying Chen, Oliver Wild, Scott Archer-Nicholls, Alex Archibald, Siddhartha Singh, Manish Shrivastava, Rahul A. Zaveri, Vikas Singh, Gufran Beig, Ranjeet Sokhi, and Gordon McFiggans
Atmos. Chem. Phys., 23, 5763–5782, https://doi.org/10.5194/acp-23-5763-2023, https://doi.org/10.5194/acp-23-5763-2023, 2023
Short summary
Short summary
Organic aerosols (OAs), their sources and their processes remain poorly understood. The volatility basis set (VBS) approach, implemented in air quality models such as WRF-Chem, can be a useful tool to describe primary OA (POA) production and aging. However, the main disadvantage is its complexity. We used a Gaussian process simulator to reproduce model results and to estimate the sources of model uncertainty. We do this by comparing the outputs with OA observations made at Delhi, India, in 2018.
Eleftherios Ioannidis, Kathy S. Law, Jean-Christophe Raut, Louis Marelle, Tatsuo Onishi, Rachel M. Kirpes, Lucia M. Upchurch, Thomas Tuch, Alfred Wiedensohler, Andreas Massling, Henrik Skov, Patricia K. Quinn, and Kerri A. Pratt
Atmos. Chem. Phys., 23, 5641–5678, https://doi.org/10.5194/acp-23-5641-2023, https://doi.org/10.5194/acp-23-5641-2023, 2023
Short summary
Short summary
Remote and local anthropogenic emissions contribute to wintertime Arctic haze, with enhanced aerosol concentrations, but natural sources, which also contribute, are less well studied. Here, modelled wintertime sea-spray aerosols are improved in WRF-Chem over the wider Arctic by including updated wind speed and temperature-dependent treatments. As a result, anthropogenic nitrate aerosols are also improved. Open leads are confirmed to be the main source of sea-spray aerosols over northern Alaska.
Wenfu Tang, Simone Tilmes, David M. Lawrence, Fang Li, Cenlin He, Louisa K. Emmons, Rebecca R. Buchholz, and Lili Xia
Atmos. Chem. Phys., 23, 5467–5486, https://doi.org/10.5194/acp-23-5467-2023, https://doi.org/10.5194/acp-23-5467-2023, 2023
Short summary
Short summary
Globally, total wildfire burned area is projected to increase over the 21st century under scenarios without geoengineering and decrease under the two geoengineering scenarios. Geoengineering reduces fire by decreasing surface temperature and wind speed and increasing relative humidity and soil water. However, geoengineering also yields reductions in precipitation, which offset some of the fire reduction.
Havala O. T. Pye, Bryan K. Place, Benjamin N. Murphy, Karl M. Seltzer, Emma L. D'Ambro, Christine Allen, Ivan R. Piletic, Sara Farrell, Rebecca H. Schwantes, Matthew M. Coggon, Emily Saunders, Lu Xu, Golam Sarwar, William T. Hutzell, Kristen M. Foley, George Pouliot, Jesse Bash, and William R. Stockwell
Atmos. Chem. Phys., 23, 5043–5099, https://doi.org/10.5194/acp-23-5043-2023, https://doi.org/10.5194/acp-23-5043-2023, 2023
Short summary
Short summary
Chemical mechanisms describe how emissions from vehicles, vegetation, and other sources are chemically transformed in the atmosphere to secondary products including criteria and hazardous air pollutants. The Community Regional Atmospheric Chemistry Multiphase Mechanism integrates gas-phase radical chemistry with pathways to fine-particle mass. New species were implemented, resulting in a bottom-up representation of organic aerosol, which is required for accurate source attribution of pollutants.
Elyse A. Pennington, Yuan Wang, Benjamin C. Schulze, Karl M. Seltzer, Jiani Yang, Bin Zhao, Zhe Jiang, Hongru Shi, Melissa Venecek, Daniel Chau, Benjamin N. Murphy, Christopher M. Kenseth, Ryan X. Ward, Havala O. T. Pye, and John H. Seinfeld
EGUsphere, https://doi.org/10.5194/egusphere-2023-749, https://doi.org/10.5194/egusphere-2023-749, 2023
Short summary
Short summary
To assess the ozone and particulate matter pollution in LA, we improved the CMAQ model by employing dynamic traffic emissions and new secondary organic aerosol (SOA) schemes to represent volatile chemical products (VCP). Source apportionment demonstrates that the urban areas of the LA Basin and vicinity are NOx-saturated with the largest sensitivity of O3 to changes in VOC in the urban core. The improvement and remaining issues shed light on the future direction of the model development.
George Jordan, James Haywood, Florent Malavelle, Ying Chen, Amy Peace, Eliza Duncan, Daniel G. Partridge, Paul Kim, Duncan Watson-Parris, Toshihiko Takemura, David Neubauer, Gunnar Myhre, Ragnhild Skeie, and Anton Laakso
EGUsphere, https://doi.org/10.5194/egusphere-2023-619, https://doi.org/10.5194/egusphere-2023-619, 2023
Short summary
Short summary
The 2014−15 Holuhraun eruption caused a huge aerosol plume in an otherwise unpolluted region providing an opportunity to study how aerosol alter cloud properties. This two-part study uses observations and models to quantify this relationship’s impact on the Earth’s energy budget. Part 1 suggests the models capture the observed spatial and chemical evolution of the plume, yet no model plume is exact. Understanding these differences is key for Part 2 where changes to cloud properties are explored.
Xuemei Wang, Hamish Gordon, Daniel P. Grosvenor, Meinrat O. Andreae, and Ken S. Carslaw
Atmos. Chem. Phys., 23, 4431–4461, https://doi.org/10.5194/acp-23-4431-2023, https://doi.org/10.5194/acp-23-4431-2023, 2023
Short summary
Short summary
New particle formation in the upper troposphere is important for the global boundary layer aerosol population, and they can be transported downward in Amazonia. We use a global and a regional model to quantify the number of aerosols that are formed at high altitude and transported downward in a 1000 km region. We find that the majority of the aerosols are from outside the region. This suggests that the 1000 km region is unlikely to be a
closed loopfor aerosol formation, transport and growth.
Shixian Zhai, Daniel J. Jacob, Drew C. Pendergrass, Nadia K. Colombi, Viral Shah, Laura Hyesung Yang, Qiang Zhang, Shuxiao Wang, Hwajin Kim, Yele Sun, Jin-Soo Choi, Jin-Soo Park, Gan Luo, Fangqun Yu, Jung-Hun Woo, Younha Kim, Jack E. Dibb, Taehyoung Lee, Jin-Seok Han, Bruce E. Anderson, Ke Li, and Hong Liao
Atmos. Chem. Phys., 23, 4271–4281, https://doi.org/10.5194/acp-23-4271-2023, https://doi.org/10.5194/acp-23-4271-2023, 2023
Short summary
Short summary
Anthropogenic fugitive dust in East Asia not only causes severe coarse particulate matter air pollution problems, but also affects fine particulate nitrate. Due to emission control efforts, coarse PM decreased steadily. We find that the decrease of coarse PM is a major driver for a lack of decrease of fine particulate nitrate, as it allows more nitric acid to form fine particulate nitrate. The continuing decrease of coarse PM requires more stringent ammonia and nitrogen oxides emission controls.
Jun-Wei Xu, Jintai Lin, Gan Luo, Jamiu Adeniran, and Hao Kong
Atmos. Chem. Phys., 23, 4149–4163, https://doi.org/10.5194/acp-23-4149-2023, https://doi.org/10.5194/acp-23-4149-2023, 2023
Short summary
Short summary
Research on the sources of Chinese PM2.5 pollution has focused on the contributions of China’s domestic emissions. However, the impact of foreign anthropogenic emissions has typically been simplified or neglected. Here we find that foreign anthropogenic emissions play an important role in Chinese PM2.5 pollution through chemical interactions between foreign-transported pollutants and China’s local emissions. Thus, foreign emission reductions are essential for improving Chinese air quality.
Kun Wang, Xiaoyan Ma, Rong Tian, and Fangqun Yu
Atmos. Chem. Phys., 23, 4091–4104, https://doi.org/10.5194/acp-23-4091-2023, https://doi.org/10.5194/acp-23-4091-2023, 2023
Short summary
Short summary
From 12 March to 6 April 2016 in Beijing, there were 11 typical new particle formation days, 13 non-event days, and 2 undefined days. We first analyzed the favorable background of new particle formation in Beijing and then conducted the simulations using four nucleation schemes based on a global chemistry transport model (GEOS-Chem) to understand the nucleation mechanism.
Arineh Cholakian, Matthias Beekmann, Guillaume Siour, Isabelle Coll, Manuela Cirtog, Elena Ormeño, Pierre-Marie Flaud, Emilie Perraudin, and Eric Villenave
Atmos. Chem. Phys., 23, 3679–3706, https://doi.org/10.5194/acp-23-3679-2023, https://doi.org/10.5194/acp-23-3679-2023, 2023
Short summary
Short summary
This article revolves around the simulation of biogenic secondary organic aerosols in the Landes forest (southwestern France). Several sensitivity cases involving biogenic emission factors, land cover data, anthropogenic emissions, and physical or meteorological parameters were performed and each compared to measurements both in the forest canopy and around the forest. The chemistry behind the formation of these aerosols and their production and transport in the forest canopy is discussed.
Marina Liaskoni, Peter Huszar, Lukáš Bartík, Alvaro Patricio Prieto Perez, Jan Karlický, and Ondřej Vlček
Atmos. Chem. Phys., 23, 3629–3654, https://doi.org/10.5194/acp-23-3629-2023, https://doi.org/10.5194/acp-23-3629-2023, 2023
Short summary
Short summary
Wind-blown dust (WBD) emissions emitted from European soils are estimated for the 2007–2016 period, and their impact on the total particulate matter (PM) concentration is calculated. We found a considerable increase in PM concentrations due to such emissions, especially on selected days (rather than on a seasonal average). We also found that WBD emissions are strongest over western Europe, and the highest impacts on PM are calculated for this region.
Yunyao Li, Daniel Tong, Siqi Ma, Saulo R. Freitas, Ravan Ahmadov, Mikhail Sofiev, Xiaoyang Zhang, Shobha Kondragunta, Ralph Kahn, Youhua Tang, Barry Baker, Patrick Campbell, Rick Saylor, Georg Grell, and Fangjun Li
Atmos. Chem. Phys., 23, 3083–3101, https://doi.org/10.5194/acp-23-3083-2023, https://doi.org/10.5194/acp-23-3083-2023, 2023
Short summary
Short summary
Plume height is important in wildfire smoke dispersion and affects air quality and human health. We assess the impact of plume height on wildfire smoke dispersion and the exceedances of the National Ambient Air Quality Standards. A higher plume height predicts lower pollution near the source region, but higher pollution in downwind regions, due to the faster spread of the smoke once ejected, affects pollution exceedance forecasts and the early warning of extreme air pollution events.
Yunfan Liu, Hang Su, Siwen Wang, Chao Wei, Wei Tao, Mira L. Pöhlker, Christopher Pöhlker, Bruna A. Holanda, Ovid O. Krüger, Thorsten Hoffmann, Manfred Wendisch, Paulo Artaxo, Ulrich Pöschl, Meinrat O. Andreae, and Yafang Cheng
Atmos. Chem. Phys., 23, 251–272, https://doi.org/10.5194/acp-23-251-2023, https://doi.org/10.5194/acp-23-251-2023, 2023
Short summary
Short summary
The origins of the abundant cloud condensation nuclei (CCN) in the upper troposphere (UT) of the Amazon remain unclear. With model developments of new secondary organic aerosol schemes and constrained by observation, we show that strong aerosol nucleation and condensation in the UT is triggered by biogenic organics, and organic condensation is key for UT CCN production. This UT CCN-producing mechanism may prevail over broader vegetation canopies and deserves emphasis in aerosol–climate feedback.
Jingyu An, Cheng Huang, Dandan Huang, Momei Qin, Huan Liu, Rusha Yan, Liping Qiao, Min Zhou, Yingjie Li, Shuhui Zhu, Qian Wang, and Hongli Wang
Atmos. Chem. Phys., 23, 323–344, https://doi.org/10.5194/acp-23-323-2023, https://doi.org/10.5194/acp-23-323-2023, 2023
Short summary
Short summary
This paper aims to build up an approach to establish a high-resolution emission inventory of intermediate-volatility and semi-volatile organic compounds in city-scale and detailed source categories and incorporate it into the CMAQ model. We believe this approach can be widely applied to improve the simulation of secondary organic aerosol and its source contributions.
Huibin Dai, Hong Liao, Ke Li, Xu Yue, Yang Yang, Jia Zhu, Jianbing Jin, Baojie Li, and Xingwen Jiang
Atmos. Chem. Phys., 23, 23–39, https://doi.org/10.5194/acp-23-23-2023, https://doi.org/10.5194/acp-23-23-2023, 2023
Short summary
Short summary
We apply the 3-D global chemical transport model (GEOS-Chem) to simulate co-polluted days by O3 and PM2.5 (O3–PM2.5PDs) in Beijing–Tianjin–Hebei in 2013–2020 and investigate the chemical and physical characteristics of O3–PM2.5PDs by composited analyses of such days that are captured by both the observations and the model. We report for the first time the unique features in vertical distributions of aerosols during O3–PM2.5PDs and the physical and chemical characteristics of O3–PM2.5PDs.
Rachel A. Bergin, Monica Harkey, Alicia Hoffman, Richard H. Moore, Bruce Anderson, Andreas Beyersdorf, Luke Ziemba, Lee Thornhill, Edward Winstead, Tracey Holloway, and Timothy H. Bertram
Atmos. Chem. Phys., 22, 15449–15468, https://doi.org/10.5194/acp-22-15449-2022, https://doi.org/10.5194/acp-22-15449-2022, 2022
Short summary
Short summary
Correctly predicting aerosol surface area concentrations is important for determining the rate of heterogeneous reactions in chemical transport models. Here, we compare aircraft measurements of aerosol surface area with a regional model. In polluted air masses, we show that the model underpredicts aerosol surface area by a factor of 2. Despite this disagreement, the representation of heterogeneous chemistry still dominates the overall uncertainty in the loss rate of molecules such as N2O5.
Long Chen, Yu Huang, Yonggang Xue, Zhihui Jia, and Wenliang Wang
Atmos. Chem. Phys., 22, 14529–14546, https://doi.org/10.5194/acp-22-14529-2022, https://doi.org/10.5194/acp-22-14529-2022, 2022
Short summary
Short summary
Quantum chemical methods are applied to gain insight into the oligomerization reaction mechanisms and kinetics of distinct stabilized Criegee intermediate (SCI) reactions with hydroperoxide esters, where calculations show that SCI addition reactions with hydroperoxide esters proceed through the successive insertion of SCIs to form oligomers that involve SCIs as the repeating unit. The saturated vapor pressure of the formed oligomers decreases monotonically with the increasing number of SCIs.
Mathieu Lachatre, Sylvain Mailler, Laurent Menut, Arineh Cholakian, Pasquale Sellitto, Guillaume Siour, Henda Guermazi, Giuseppe Salerno, and Salvatore Giammanco
Atmos. Chem. Phys., 22, 13861–13879, https://doi.org/10.5194/acp-22-13861-2022, https://doi.org/10.5194/acp-22-13861-2022, 2022
Short summary
Short summary
In this study, we have evaluated the predominance of various pathways of volcanic SO2 conversion to sulfates in the upper troposphere. We show that the main conversion pathway was gaseous oxidation by OH, although the liquid pathways were expected to be predominant. These results are interesting with respect to a better understanding of sulfate formation in the middle and upper troposphere and are an important component to help evaluate particulate matter radiative forcing.
Siying Lian, Luxi Zhou, Daniel M. Murphy, Karl D. Froyd, Owen B. Toon, and Pengfei Yu
Atmos. Chem. Phys., 22, 13659–13676, https://doi.org/10.5194/acp-22-13659-2022, https://doi.org/10.5194/acp-22-13659-2022, 2022
Short summary
Short summary
Parameterizations of dust lifting and microphysical properties of dust in climate models are still subject to large uncertainty. Here we use a sectional aerosol climate model to investigate the global vertical distributions of the dust. Constrained by a suite of observations, the model suggests that, although North African dust dominates global dust mass loading at the surface, the relative contribution of Asian dust increases with altitude and becomes dominant in the upper troposphere.
Steven J. Smith, Erin E. McDuffie, and Molly Charles
Atmos. Chem. Phys., 22, 13201–13218, https://doi.org/10.5194/acp-22-13201-2022, https://doi.org/10.5194/acp-22-13201-2022, 2022
Short summary
Short summary
Emissions into the atmosphere of greenhouse gases (GHGs) and air pollutants, quantified in emission inventories, impact human health, ecosystems, and the climate. We review how air pollutant and GHG inventory activities have historically been structured and their different uses and requirements. We discuss the benefits of increasing coordination between air pollutant and GHG inventory development efforts, but also caution that there are differences in appropriate methodologies and applications.
Jinjin Sun, Momei Qin, Xiaodong Xie, Wenxing Fu, Yang Qin, Li Sheng, Lin Li, Jingyi Li, Ishaq Dimeji Sulaymon, Lei Jiang, Lin Huang, Xingna Yu, and Jianlin Hu
Atmos. Chem. Phys., 22, 12629–12646, https://doi.org/10.5194/acp-22-12629-2022, https://doi.org/10.5194/acp-22-12629-2022, 2022
Short summary
Short summary
NO3- has become the dominant and the least reduced chemical component of fine particulate matter in China. NO3- formation is mostly in the NH3-rich regime in the Yangtze River Delta (YRD). OH + NO2 contributes 60 %–83 % of the TNO3 production rates, and the N2O5 heterogeneous pathway contributes 10 %–36 %. The N2O5 heterogeneous pathway becomes more important in cold seasons. Local emissions and regional transportation contribute 50 %–62 % and 38 %–50 % to YRD NO3- concentrations, respectively.
Thomas Drugé, Pierre Nabat, Marc Mallet, Martine Michou, Samuel Rémy, and Oleg Dubovik
Atmos. Chem. Phys., 22, 12167–12205, https://doi.org/10.5194/acp-22-12167-2022, https://doi.org/10.5194/acp-22-12167-2022, 2022
Short summary
Short summary
This study presents the implementation of brown carbon in the atmospheric component of the CNRM global climate model and particularly in its aerosol scheme TACTIC. Several simulations were carried out with this climate model, over the period 2000–2014, to evaluate the model by comparison with different reference datasets (PARASOL-GRASP, OMI-OMAERUVd, MACv2, FMI_SAT, AERONET) and to analyze the brown carbon radiative and climatic effects.
Simon F. Reifenberg, Anna Martin, Matthias Kohl, Sara Bacer, Zaneta Hamryszczak, Ivan Tadic, Lenard Röder, Daniel J. Crowley, Horst Fischer, Katharina Kaiser, Johannes Schneider, Raphael Dörich, John N. Crowley, Laura Tomsche, Andreas Marsing, Christiane Voigt, Andreas Zahn, Christopher Pöhlker, Bruna A. Holanda, Ovid Krüger, Ulrich Pöschl, Mira Pöhlker, Patrick Jöckel, Marcel Dorf, Ulrich Schumann, Jonathan Williams, Birger Bohn, Joachim Curtius, Hardwig Harder, Hans Schlager, Jos Lelieveld, and Andrea Pozzer
Atmos. Chem. Phys., 22, 10901–10917, https://doi.org/10.5194/acp-22-10901-2022, https://doi.org/10.5194/acp-22-10901-2022, 2022
Short summary
Short summary
In this work we use a combination of observational data from an aircraft campaign and model results to investigate the effect of the European lockdown due to COVID-19 in spring 2020. Using model results, we show that the largest relative changes to the atmospheric composition caused by the reduced emissions are located in the upper troposphere around aircraft cruise altitude, while the largest absolute changes are present at the surface.
Cited articles
Billionnet, C., Sherrill, D., and Annesi-Maesano, I.: Estimating the health effects of exposure to multi-pollutant mixture, Ann. Epidemiol., 22, 126–141, 2012.
Bowe, B., Xie, Y., Li, T., Yan, Y., Xian, H., and Al-Aly, Z.: The 2016 global and national burden of diabetes mellitus attributable to PM2.5 air pollution, Lancet Planet. Health, 2, e301–e312, 2018.
Brokamp, C., Jandarov, R., Rao, M. B., LeMasters, G., and Ryan, P.: Exposure assessment models for elemental components of particulate matter in an urban environment: A comparison of regression and random forest approaches, Atmos. Environ., 151, 1–11, 2017.
Burnett, R., Chen, H., Szyszkowicz, M., Fann, N., Hubbell, B., Pope, C. A., Apte, J. S., Brauer, M., Cohen, A., Weichenthal, S., and Coggins, J.: Global estimates of mortality associated with long-term exposure to outdoor fine particulate matter, P. Natl. Acad. Sci. USA, 115, 9592–9597, 2018.
Cai, J., Ge, Y., Li, H., Yang, C., Liu, C., Meng, X., Wang, W., Niu, C., Kan, L., Schikowski, T., and Yan, B.: Application of land use regression to assess exposure and identify potential sources in PM2.5, BC, NO2 concentrations, Atmos. Environ., 223, 117267, https://doi.org/10.1016/j.atmosenv.2020.117267, 2020.
Chen, H., Zhang, Z., van Donkelaar, A., Bai, L., Martin, R. V., Lavigne, E., Kwong, J. C., and Burnett, R. T.: Understanding the joint impacts of fine particulate matter concentration and composition on the incidence and mortality of cardiovascular disease: A component-adjusted approach, Environ. Sci. Technol., 54, 4388–4399, 2020.
Chen, J., de Hoogh, K., Gulliver, J., Hoffmann, B., Hertel, O., Ketzel, M., Weinmayr, G., Bauwelinck, M., van Donkelaar, A., Hvidtfeldt, U. A., and Atkinson, R.: Development of Europe-wide models for particle elemental composition using supervised linear regression and random forest, Environ. Sci. Technol., 54, 15698–15709, 2020.
Chen, J., Rodopoulou, S., de Hoogh, K., Strak, M., Andersen, Z. J., Atkinson, R., Bauwelinck, M., Bellander, T., Brandt, J., Cesaroni, G., and Concin, H.: Long-term exposure to fine particle elemental components and natural and cause-specific mortality – A pooled analysis of eight European cohorts within the ELAPSE project, Environ. Health Persp., 129, 047009, https://doi.org/10.1289/EHP8368, 2021.
Coker, E., Liverani, S., Ghosh, J. K., Jerrett, M., Beckerman, B., Li, A., Ritz, B., and Molitor, J.: Multi-pollutant exposure profiles associated with term low birth weight in Los Angeles County, Environ. Int., 91, 1–13, 2016.
Cordioli, M., Pironi, C., De Munari, E., Marmiroli, N., Lauriola, P., and Ranzi, A.: Combining land use regression models and fixed site monitoring to reconstruct spatiotemporal variability of NO2 concentrations over a wide geographical area, Sci. Total Environ., 574, 1075–1084, 2017.
Cowie, C. T., Garden, F., Jegasothy, E., Knibbs, L. D., Hanigan, I., Morley, D., Hansell, A., Hoek, G., and Marks, G. B.: Comparison of model estimates from an intra-city land use regression model with a national satellite-LUR and a regional Bayesian Maximum Entropy model, in estimating NO2 for a birth cohort in Sydney, Australia, Environ. Res., 174, 24–34, https://doi.org/10.1016/j.envres.2019.03.068, 2019.
Crouse, D. L., Peters, P. A., Hystad, P., Brook, J. R., van Donkelaar, A., Martin, R. V., Villeneuve, P. J., Jerrett, M., Goldberg, M. S., Pope III, C. A., and Brauer, M.: Ambient PM2.5, O3, and NO2 exposures and associations with mortality over 16 years of follow-up in the Canadian Census Health and Environment Cohort (CanCHEC), Environ. Health Persp., 123, 1180–1186, 2015.
Dominici, F., Peng, R. D., Barr, C. D., and Bell, M. L.: Protecting human health from air pollution: shifting from a single-pollutant to a multi-pollutant approach, Epidemiol., 21, 187–194, 2010.
Eeftens, M., Beelen, R., de Hoogh, K., Bellander, T., Cesaroni, G., Cirach, M., Declercq, C., Dėdelė, A., Dons, E., de Nazelle, A., and Dimakopoulou, K.: Development of land use regression models for PM2.5, PM2.5 absorbance, PM10 and PMcoarse in 20 European study areas; results of the ESCAPE project, Environ. Sci. Technol., 46, 11195–11205, 2012.
Eeftens, M., Meier, R., Schindler, C., Aguilera, I., Phuleria, H., Ineichen, A., Davey, M., Ducret-Stich, R., Keidel, D., Probst-Hensch, N., and Künzli, N.: Development of land use regression models for nitrogen dioxide, ultrafine particles, lung deposited surface area, and four other markers of particulate matter pollution in the Swiss SAPALDIA regions, Environ. Health, 15, 53, https://doi.org/10.1186/s12940-016-0137-9, 2016.
Eeftens, M., Odabasi, D., Flückiger, B., Davey, M., Ineichen, A., Feigenwinter, C., and Tsai, M. Y.: Modelling the vertical gradient of nitrogen dioxide in an urban area, Sci. Total Environ., 650, 452–458, 2019.
Fan, Z., Pun, V. C., Chen, X. C., Hong, Q., Tian, L., Ho, S. S. H., Lee, S. C., Tse, L. A., and Ho, K. F.: Personal exposure to fine particles (PM2.5) and respiratory inflammation of common residents in Hong Kong, Environ. Res., 164, 24–31, 2018.
Gulliver, J., Morley, D., Dunster, C., McCrea, A., van Nunen, E., Tsai, M. Y., Probst-Hensch, N., Eeftens, M., Imboden, M., Ducret-Stich, R., and Naccarati, A.: Land use regression models for the oxidative potential of fine particles (PM2.5) in five European areas, Environ. Res., 160, 247–255, 2018.
Han, H., Zhang, L., Liu, Z., Yue, X., Shu, L., Wang, X., and Zhang, Y.: Narrowing Differences in Urban and Nonurban Surface Ozone in the Northern Hemisphere Over 1990–2020, Environ. Sci. Tech. Let., 10, 410–417, https://doi.org/10.1021/acs.estlett.3c00105, 2023.
HEI (Health Effects Institute): State of Global Air 2019. Special Report. Boston, MA, USA, https://www.stateofglobalair.org/sites/default/files/soga_2019_report.pdf (last access: February 2022), 2019.
Henderson, S. B., Beckerman, B., Jerrett, M., and Brauer, M.: Application of land use regression to estimate long-term concentrations of traffic-related nitrogen oxides and fine particulate matter, Environ. Sci. Technol., 41, 2422–2428, 2007.
HKEPD (Hong Kong Environmental Protection Department): Air quality in Hong Kong 2017, https://www.aqhi.gov.hk/api_history/english/report/files/AQR2017e_final.pdf (last access: February 2022), 2018.
HKEPD (Hong Kong Environmental Protection Department): Air quality in Hong Kong 2021, https://www.aqhi.gov.hk/api_history/english/report/files/AQR2021e_final.pdf (last access: August 2023), 2022.
HKO (Hong Kong Observatory): Climate of Hong Kong, http://www.hko.gov.hk/en/cis/climahk.htm# (last access: February 2022), 2020.
HKTD (Hong Kong Transport Department): Registered and licensing of vehicles by class of vehicles, https://www.td.gov.hk/en/transport_in_hong_kong/transport_figures/vehicle_registration_and_licensing/index.html (last access: February 2022), 2020.
Ho, C. C., Chan, C. C., Cho, C. W., Lin, H. I., Lee, J. H., and Wu, C. F.: Land use regression modeling with vertical distribution measurements for fine particulate matter and elements in an urban area, Atmos. Environ., 104, 256–263, 2015.
Hoek, G., Beelen, R., De Hoogh, K., Vienneau, D., Gulliver, J., Fischer, P., and Briggs, D.: A review of land-use regression models to assess spatial variation of outdoor air pollution, Atmos. Environ., 42, 7561–7578, 2008.
Hsu, C. Y., Wu, C. D., Hsiao, Y. P., Chen, Y. C., Chen, M. J., and Lung, S. C. C.: Developing land-use regression models to estimate PM2.5-bound compound concentrations, Remote Sens., 10, 1971, https://doi.org/10.3390/rs10121971, 2018.
Huang, L., Zhang, C., and Bi, J.: Development of land use regression models for PM2.5, SO2, NO2 and O3 in Nanjing, China, Environ. Res., 158, 542–552, 2017.
Ji, W., Wang, Y., and Zhuang, D.: Spatial distribution differences in PM2.5 concentration between heating and non-heating seasons in Beijing, China, Environ. Pollut., 248, 574–583, 2019.
Jin, L., Berman, J. D., Warren, J. L., Levy, J. I., Thurston, G., Zhang, Y., Xu, X., Wang, S., Zhang, Y., and Bell, M. L.: A land use regression model of nitrogen dioxide and fine particulate matter in a complex urban core in Lanzhou, China, Environ. Res., 177, 108597, https://doi.org/10.1016/j.envres.2019.108597, 2019.
Jones, R. R., Hoek, G., Fisher, J. A., Hasheminassab, S., Wang, D., Ward, M. H., Sioutas, C., Vermeulen, R., and Silverman, D. T.: Land use regression models for ultrafine particles, fine particles, and black carbon in southern California, Sci. Total Environ., 699, 134234, https://doi.org/10.1016/j.scitotenv.2019.134234, 2020.
Lee, M., Brauer, M., Wong, P., Tang, R., Tsui, T. H., Choi, C., Cheng, W., Lai, P. C., Tian, L., Thach, T. Q., and Allen, R.: Land use regression modelling of air pollution in high density high rise cities: A case study in Hong Kong, Sci Total Environ., 592, 306–315, 2017.
Levy, I., Mihele, C., Lu, G., Narayan, J., and Brook, J. R.: Evaluating multipollutant exposure and urban air quality: pollutant interrelationships, neighborhood variability, and nitrogen dioxide as a proxy pollutant, Environ. Health Persp., 122, 65–72, https://doi.org/10.1289/ehp.1306518, 2014.
Li, Z., Fung, J. C., and Lau, A. K.: High spatiotemporal characterization of on-road PM2.5 concentrations in high-density urban areas using mobile monitoring, Build. Environ., 143, 196–205, 2018.
Li, Z., Yim, S. H. L., and Ho, K. F.: High temporal resolution prediction of street-level PM2.5 and NOx concentrations using machine learning approach, J. Clean. Prod., 268, 121975, https://doi.org/10.1016/j.jclepro.2020.121975, 2020.
Li, Z., Ho, K.-F., Chuang, H.-C., and Yim, S. H. L.: Development and intercity transferability of land-use regression models for predicting ambient PM10, PM2.5, NO2 and O3 concentrations in northern Taiwan, Atmos. Chem. Phys., 21, 5063–5078, https://doi.org/10.5194/acp-21-5063-2021, 2021.
Li, Z., Ho, K. F., Dong, G., Lee, H. F., and Yim, S. H. L.: A novel approach for assessing the spatiotemporal trend of health risk from ambient particulate matter components: Case of Hong Kong, Environ. Res., 204, 111866, https://doi.org/10.1016/j.envres.2021.111866, 2022.
Liu, C., Henderson, B. H., Wang, D., Yang, X., and Peng, Z. R.: A land use regression application into assessing spatial variation of intra-urban fine particulate matter (PM2.5) and nitrogen dioxide (NO2) concentrations in City of Shanghai, China, Sci. Total Environ., 565, 607–615, 2016.
Lu, M., Soenario, I., Helbich, M., Schmitz, O., Hoek, G., van der Molen, M., and Karssenberg, D.: Land use regression models revealing spatiotemporal co-variation in NO2, NO, and O3 in the Netherlands, Atmos. Environ., 223, 117238, https://doi.org/10.1016/j.atmosenv.2019.117238, 2020.
Luminati, O., de Campos, B. L. D. A., Flückiger, B., Brentani, A., Röösli, M., Fink, G., and de Hoogh, K.: Land use regression modelling of NO2 in Sao Paulo, Brazil, Environ. Pollut., 289, 117832, https://doi.org/10.1016/j.envpol.2021.117832, 2021.
Ma, M., Gao, Y., Ding, A., Su, H., Liao, H., Wang, S., Wang, X., Zhao, B., Zhang, S., Fu, P., and Guenther, A. B.: Development and Assessment of a High-Resolution Biogenic Emission Inventory from Urban Green Spaces in China, Environ. Sci. Technol., 56, 175–184, 2021.
Ma, X., Longley, I., Gao, J., Kachhara, A., and Salmond, J.: A site-optimised multi-scale GIS based land use regression model for simulating local scale patterns in air pollution, Sci. Total Environ., 685, 134–149, 2019.
Masiol, M., Zíková, N., Chalupa, D. C., Rich, D. Q., Ferro, A. R., and Hopke, P. K.: Hourly land-use regression models based on low-cost PM monitor data, Environ. Res., 167, 7–14, 2018.
Mauderly, J. L., Burnett, R. T., Castillejos, M., Özkaynak, H., Samet, J. M., Stieb, D. M., Vedal, S., and Wyzga, R. E.: Is the air pollution health research community prepared to support a multipollutant air quality management framework?, Inhal. Toxicol., 22, 1–19, 2010.
Meng, X., Chen, L., Cai, J., Zou, B., Wu, C. F., Fu, Q., Zhang, Y., Liu, Y., and Kan, H.: A land use regression model for estimating the NO2 concentration in Shanghai, China, Environ. Res., 137, 308–315, 2015.
Meng, X., Fu, Q., Ma, Z., Chen, L., Zou, B., Zhang, Y., Xue, W., Wang, J., Wang, D., Kan, H., and Liu, Y.: Estimating ground-level PM10 in a Chinese city by combining satellite data, meteorological information and a land use regression model, Environ. Pollut., 208, 177–184, 2016.
Miri, M., Ghassoun, Y., Dovlatabadi, A., Ebrahimnejad, A., and Löwner, M. O.: Estimate annual and seasonal PM1, PM2.5 and PM10 concentrations using land use regression model, Ecotox. Environ. Safe, 174, 137–145, 2019.
Mölter, A. and Lindley, S.: Developing land use regression models for environmental science research using the XLUR tool – More than a one-trick pony, Environ. Model. Softw., 143, 105108, https://doi.org/10.1016/j.envsoft.2021.105108, 2021.
Naughton, O., Donnelly, A., Nolan, P., Pilla, F., Misstear, B. D., and Broderick, B.: A land use regression model for explaining spatial variation in air pollution levels using a wind sector based approach, Sci. Total Environ., 630, 1324–1334, 2018.
Rappazzo, K. M., Baxter, L., Sacks, J. D., Alman, B. L., Peterson, G. C. L., Hubbell, B., and Neas, L.: Exploration of PM mass, source, and component-related factors that might explain heterogeneity in daily PM2.5-mortality associations across the United States, Atmos. Environ., 262, 118650, https://doi.org/10.1016/j.atmosenv.2021.118650, 2021.
Ren, Y., Qu, Z., Du, Y., Xu, R., Ma, D., Yang, G., Shi, Y., Fan, X., Tani, A., Guo, P., and Ge, Y.: Air quality and health effects of biogenic volatile organic compounds emissions from urban green spaces and the mitigation strategies, Environ. Pollut., 230, 849–861, 2017.
Renzi, M., Forastiere, F., Schwartz, J., Davoli, M., Michelozzi, P., and Stafoggia, M.: Long-Term PM10 Exposure and Cause-Specific Mortality in the Latium Region (Italy): A Difference-in-Differences Approach, Environ. Health Persp., 127, 067004, https://doi.org/10.1289/EHP3759, 2019.
Requia, W. J., Coull, B. A., and Koutrakis, P.: Evaluation of predictive capabilities of ordinary geostatistical interpolation, hybrid interpolation, and machine learning methods for estimating PM2.5 constituents over space, Environ. Res., 175, 421–433, 2019.
Ross, Z., Jerrett, M., Ito, K., Tempalski, B., and Thurston, G. D.: A land use regression for predicting fine particulate matter concentrations in the New York City region, Atmos. Environ., 41, 2255–2269, 2007.
Saha, P. K., Sengupta, S., Adams, P., Robinson, A. L., and Presto, A. A.: Spatial correlation of ultrafine particle number and fine particle mass at urban scales: implications for health assessment, Environ. Sci. Technol., 54, 9295–9304, 2020.
Son, Y., Osornio-Vargas, Á.R., O'Neill, M.S., Hystad, P., Texcalac-Sangrador, J.L., Ohman-Strickland, P., Meng, Q., and Schwander, S.: Land use regression models to assess air pollution exposure in Mexico City using finer spatial and temporal input parameters, Sci. Total Environ., 639, 40–48, https://doi.org/10.1016/j.scitotenv.2018.05.144, 2018.
Song, M., Zhao, X., Liu, P., Mu, J., He, G., Zhang, C., Tong, S., Xue, C., Zhao, X., Ge, M., and Mu, Y.: Atmospheric NOx oxidation as major sources for nitrous acid (HONO), Clim. Atmos. Sci., 6, 30, https://doi.org/10.1038/s41612-023-00357-8, 2023.
Stafoggia, M., Breitner, S., Hampel, R., and Basagaña, X.: Statistical approaches to address multi-pollutant mixtures and multiple exposures: the state of the science, Curr. Environ. Health Rep., 4, 481–490, 2017.
Tang, R., Tian, L., Thach, T. Q., Tsui, T. H., Brauer, M., Lee, M., Allen, R., Yuchi, W., Lai, P. C., Wong, P., and Barratt, B.: Integrating travel behavior with land use regression to estimate dynamic air pollution exposure in Hong Kong, Environ. Int., 113, 100–108, 2018.
Vedal, S. and Kaufman, J. D.: What does multi-pollutant air pollution research mean?, Am. J. Resp. Crit. Care, 183, 4–6, 2011.
Wang, C., Cai, J., Chen, R., Shi, J., Yang, C., Li, H., Lin, Z., Meng, X., Liu, C., Niu, Y., and Xia, Y.: Personal exposure to fine particulate matter, lung function and serum club cell secretory protein (Clara), Environ. Pollut., 225, 450–455, 2017.
Wang, J., Cohan, D. S., and Xu, H.: Spatiotemporal ozone pollution LUR models: Suitable statistical algorithms and time scales for a megacity scale, Atmos. Environ., 237, 117671, https://doi.org/10.1016/j.atmosenv.2020.117671, 2020.
Wang, J., Wang, W., Zhang, W., Wang, J., Huang, Y., Hu, Z., Chen, Y., Guo, X., Deng, F., and Zhang, L.: Co-exposure to multiple air pollutants and sleep disordered breathing in patients with or without obstructive sleep apneas: A cross-sectional study, Environ. Res., 212, 113155, https://doi.org/10.1016/j.envres.2022.113155, 2022.
Wang, Y., Xiao, S., Zhang, Y., Chang, H., Martin, R. V., Van Donkelaar, A., Gaskins, A., Liu, Y., Liu, P., and Shi, L.: Long-term exposure to PM2.5 major components and mortality in the southeastern United States, Environ. Int., 158, 106969, https://doi.org/10.1016/j.envint.2021.106969, 2022.
WHO (World Health Organization): WHO global air quality guidelines: particulate matter (PM2.5 and PM10), ozone, nitrogen dioxide, sulfur dioxide and carbon monoxide, https://apps.who.int/iris/handle/10665/345329 (last access: February 2022), 2021.
Wolf, K., Cyrys, J., Harciníková, T., Gu, J., Kusch, T., Hampel, R., Schneider, A., and Peters, A.: Land use regression modeling of ultrafine particles, ozone, nitrogen oxides and markers of particulate matter pollution in Augsburg, Germany, Sci. Total Environ., 579, 1531–1540, 2017.
Wu, H., Reis, S., Lin, C., and Heal, M. R.: Effect of monitoring network design on land use regression models for estimating residential NO2 concentration, Atmos. Environ., 149, 24–33, 2017.
Xu, M., Sbihi, H., Pan, X., and Brauer, M.: Local variation of PM2.5 and NO2 concentrations within metropolitan Beijing, Atmos. Environ., 200, 254–263, 2019.
Xue, T., Zheng, Y., Li, X., Liu, J., Zhang, Q., and Zhu, T.: A component-specific exposure–mortality model for ambient PM2.5 in China: findings from nationwide epidemiology based on outputs from a chemical transport model, Faraday Discuss., 226, 551–568, 2021.
Yim, S. H., Fung, J. C. H., Lau, A. K. H., and Kot, S. C.: Air ventilation impacts of the “wall effect” resulting from the alignment of high-rise buildings, Atmos. Environ., 43, 4982–4994, 2009.
Yim, S. H., Huang, T., Ho, J. M., Lam, A. S., Yau, S. T., Yuen, T. W., Dong, G. H., Tsoi, K. K., and Sung, J. J.: Rise and fall of lung cancers in relation to tobacco smoking and air pollution: A global trend analysis from 1990 to 2012, Atmos. Environ., 269, 118835, https://doi.org/10.1016/j.atmosenv.2021.118835, 2022.
Yim, S. H. L.: Development of a 3D real-time atmospheric monitoring system (3DREAMS) using Doppler LiDARs and applications for long-term analysis and hot-and-polluted episodes, Remote Sens., 12, 1036, https://doi.org/10.3390/rs12061036, 2020.
Yim, S. H. L., Wang, M., Gu, Y., Yang, Y., Dong, G., and Li, Q.: Effect of urbanization on ozone and resultant health effects in the Pearl River Delta region of China, J. Geophys. Res.-Atmos., 124, 11568–11579, 2019.
Zeng, L., Yang, J., Guo, H., and Lyu, X.: Impact of NOx reduction on long-term surface ozone pollution in roadside and suburban Hong Kong: Field measurements and model simulations, Chemosphere, 302, 134816, https://doi.org/10.1016/j.chemosphere.2022.134816, 2022.
Zhang, J. J., Sun, L., Barrett, O., Bertazzon, S., Underwood, F. E., and Johnson, M.: Development of land-use regression models for metals associated with airborne particulate matter in a North American city, Atmos. Environ., 106, 165–177, 2015.
Short summary
This study developed an integrated model framework for accurate multi-air-pollutant exposure assessments in high-density and high-rise cities. Following the proposed integrated model framework, we established multi-air-pollutant exposure models for four major PM10 chemical species as well as four criteria air pollutants with R2 values ranging from 0.73 to 0.93. The proposed framework serves as an important tool for combined exposure assessment in epidemiological studies.
This study developed an integrated model framework for accurate multi-air-pollutant exposure...
Altmetrics
Final-revised paper
Preprint