Articles | Volume 18, issue 1
https://doi.org/10.5194/acp-18-203-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-18-203-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Quantifying the relationship between PM2.5 concentration, visibility and planetary boundary layer height for long-lasting haze and fog–haze mixed events in Beijing
Tian Luan
State Key Laboratory of Severe Weather (LASW), Chinese Academy of
Meteorological Sciences, Beijing, 100081, China
Key Laboratory for Cloud Physics, Chinese Academy of Meteorological
Sciences, Beijing, 100081, China
Xueliang Guo
CORRESPONDING AUTHOR
State Key Laboratory of Severe Weather (LASW), Chinese Academy of
Meteorological Sciences, Beijing, 100081, China
Key Laboratory for Cloud Physics, Chinese Academy of Meteorological
Sciences, Beijing, 100081, China
Collaborative Innovation Center for Meteorological Disasters Forecast,
Early Warning and Assessment, Nanjing University of Information Science and
Technology, Nanjing, 210044, China
Lijun Guo
State Key Laboratory of Severe Weather (LASW), Chinese Academy of
Meteorological Sciences, Beijing, 100081, China
Key Laboratory for Cloud Physics, Chinese Academy of Meteorological
Sciences, Beijing, 100081, China
Tianhang Zhang
National Meteorological Center, Beijing, 100081, China
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- Saving the world from your couch: the heterogeneous medium-run benefits of COVID-19 lockdowns on air pollution J. Bonardi et al. 10.1088/1748-9326/abee4d
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- Interpreting hourly mass concentrations of PM2.5 chemical components with an optimal deep-learning model H. Li et al. 10.1016/j.jes.2024.03.037
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- The air quality of Palangka Raya, Central Kalimantan, Indonesia: The impacts of forest fires on visibility M. Santoso et al. 10.1080/10962247.2022.2077474
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- Below-Cloud Aerosol Scavenging by Different-Intensity Rains in Beijing City T. Luan et al. 10.1007/s13351-019-8079-0
- Characteristics of urban boundary layer in heavy haze process based on Beijing 325m tower data Y. SHI et al. 10.1080/16742834.2019.1547084
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- Vertical Gradient Variations in Radiation Budget and Heat Fluxes in the Urban Boundary Layer: A Comparison Study Between Polluted and Clean Air Episodes in Beijing During Winter L. Wang et al. 10.1029/2020JD032478
- Decreasing Dust Over the Middle East Partly Caused by Irrigation Expansion W. Xia et al. 10.1029/2021EF002252
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- Mixing layer height estimated from AMDAR and its relationship with PMs and meteorological parameters in two cities in North China during 2014–2017 Z. Lv et al. 10.1016/j.apr.2019.11.017
- Assessment of PM2.5 using satellite lidar observations: Effect of bio-mass burning emissions over India N. Lakshmi et al. 10.1016/j.scitotenv.2022.155215
- Current challenges of improving visibility due to increasing nitrate fraction in PM2.5 during the haze days in Beijing, China S. Hu et al. 10.1016/j.envpol.2021.118032
- Aerosol hygroscopicity: Hygroscopic growth proxy based on visibility for low-cost PM monitoring A. Molnár et al. 10.1016/j.atmosres.2019.104815
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- Changes in wintertime visibility across China over 2013–2019 and the drivers: A comprehensive assessment using machine learning method L. Chen et al. 10.1016/j.scitotenv.2023.169516
- Improving the estimating accuracy of extinction coefficient of surface aerosol with a new layer-resolved model in China L. Wang et al. 10.1016/j.scitotenv.2019.136443
- A homogenized daily in situ PM<sub>2.5</sub> concentration dataset from the national air quality monitoring network in China K. Bai et al. 10.5194/essd-12-3067-2020
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- Long-term meteorology-adjusted and unadjusted trends of PM2.5 using the AirGAM model over Delhi, 2007–2022 . Chetna et al. 10.1016/j.aeaoa.2024.100255
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- Analyzing the influence of the planetary boundary layer height, ventilation coefficient, thermal inversions, and aerosol optical Depth on the concentration of PM2.5 in the city of São Paulo: A long-term study G. Moreira et al. 10.1016/j.apr.2024.102179
- Long-term variation characteristics and influencing factors of low-visibility events on the coast of China R. Lyu et al. 10.1016/j.atmosres.2021.105583
- Quantifying the impact of terrain–wind–governed close-effect on atmospheric polluted concentrations L. Wu et al. 10.1016/j.jclepro.2022.132995
- Roadside atmospheric pollution: still a serious environmental problem in Beijing, China W. Chen et al. 10.1007/s11869-018-0620-2
- Different characteristics of individual particles from light-duty diesel vehicle at the launching and idling state by AAC-SPAMS B. Su et al. 10.1016/j.jhazmat.2021.126304
- Analysis of Changes and Statistical Characteristics in PM-2.5 based on the Seasonal Management Data H. Ahn et al. 10.4491/KSEE.2022.44.8.276
- The major chemical constituents of PM2.5 and airborne bacterial community phyla in Beijing, Seoul, and Nagasaki E. Park et al. 10.1016/j.chemosphere.2020.126870
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82 citations as recorded by crossref.
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- Analysis of fog at Xianyang Airport based on multi-source ground-based detection data H. Ming et al. 10.1016/j.atmosres.2019.01.012
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- The influence of terrestrial transport on visibility and aerosol properties over the coastal East China Sea B. Wang et al. 10.1016/j.scitotenv.2018.08.312
- Comparison of the performances between the WRF and WRF-LES models in radiation fog – A case study C. Cui et al. 10.1016/j.atmosres.2019.04.003
- Saving the world from your couch: the heterogeneous medium-run benefits of COVID-19 lockdowns on air pollution J. Bonardi et al. 10.1088/1748-9326/abee4d
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- A new approach of the normalization relationship between PM2.5 and visibility and the theoretical threshold, a case in north China X. Wu et al. 10.1016/j.atmosres.2020.105054
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- Relationship between meteorological conditions and atmospheric PM2.5 in uranium mining areas and source analysis P. Wei et al. 10.1007/s10967-024-09380-2
- The role of particulate matter in reduced visibility and anionic composition of winter fog: a case study for Amritsar city R. Yadav et al. 10.1039/D2RA00424K
- The air quality of Palangka Raya, Central Kalimantan, Indonesia: The impacts of forest fires on visibility M. Santoso et al. 10.1080/10962247.2022.2077474
- Long-term measurements of planetary boundary layer height and interactions with PM2.5 in Shanghai, China L. Pan et al. 10.1016/j.apr.2019.01.007
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- Below-Cloud Aerosol Scavenging by Different-Intensity Rains in Beijing City T. Luan et al. 10.1007/s13351-019-8079-0
- Characteristics of urban boundary layer in heavy haze process based on Beijing 325m tower data Y. SHI et al. 10.1080/16742834.2019.1547084
- Diagnosing atmospheric stability effects on the modeling accuracy of PM2.5 /AOD relationship in eastern China using radiosonde data K. Bai et al. 10.1016/j.envpol.2019.04.104
- Vertical Gradient Variations in Radiation Budget and Heat Fluxes in the Urban Boundary Layer: A Comparison Study Between Polluted and Clean Air Episodes in Beijing During Winter L. Wang et al. 10.1029/2020JD032478
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- Assessment of PM2.5 using satellite lidar observations: Effect of bio-mass burning emissions over India N. Lakshmi et al. 10.1016/j.scitotenv.2022.155215
- Current challenges of improving visibility due to increasing nitrate fraction in PM2.5 during the haze days in Beijing, China S. Hu et al. 10.1016/j.envpol.2021.118032
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- Changes in wintertime visibility across China over 2013–2019 and the drivers: A comprehensive assessment using machine learning method L. Chen et al. 10.1016/j.scitotenv.2023.169516
- Improving the estimating accuracy of extinction coefficient of surface aerosol with a new layer-resolved model in China L. Wang et al. 10.1016/j.scitotenv.2019.136443
- A homogenized daily in situ PM<sub>2.5</sub> concentration dataset from the national air quality monitoring network in China K. Bai et al. 10.5194/essd-12-3067-2020
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- Vertical observations of the atmospheric boundary layer structure over Beijing urban area during air pollution episodes L. Wang et al. 10.5194/acp-19-6949-2019
- Simulated impacts of vertical distributions of black carbon aerosol on meteorology and PM<sub>2.5</sub> concentrations in Beijing during severe haze events D. Chen et al. 10.5194/acp-22-1825-2022
- Spatiotemporal trend analysis for fine particulate matter concentrations in China using high-resolution satellite-derived and ground-measured PM2.5 data K. Bai et al. 10.1016/j.jenvman.2018.12.071
- Aerosol Physical‐Optical Properties and PBLH Under Different Air Pollution Levels From Ground Lidar and Satellite Observations Over Shouxian Area, China Y. Zhang et al. 10.1029/2021JD035236
- Severe haze events in the Indo-Gangetic Plain during post-monsoon: Synergetic effect of synoptic meteorology and crop residue burning emission S. Kumari et al. 10.1016/j.scitotenv.2021.145479
- A Dark Target research aerosol algorithm for MODIS observations over eastern China: increasing coverage while maintaining accuracy at high aerosol loading Y. Shi et al. 10.5194/amt-14-3449-2021
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- Predictability of PM2.5 in Seoul based on atmospheric blocking forecasts using the NCEP global forecast system U. Shin et al. 10.1016/j.atmosenv.2020.118141
- Analyzing the influence of the planetary boundary layer height, ventilation coefficient, thermal inversions, and aerosol optical Depth on the concentration of PM2.5 in the city of São Paulo: A long-term study G. Moreira et al. 10.1016/j.apr.2024.102179
- Long-term variation characteristics and influencing factors of low-visibility events on the coast of China R. Lyu et al. 10.1016/j.atmosres.2021.105583
- Quantifying the impact of terrain–wind–governed close-effect on atmospheric polluted concentrations L. Wu et al. 10.1016/j.jclepro.2022.132995
- Roadside atmospheric pollution: still a serious environmental problem in Beijing, China W. Chen et al. 10.1007/s11869-018-0620-2
- Different characteristics of individual particles from light-duty diesel vehicle at the launching and idling state by AAC-SPAMS B. Su et al. 10.1016/j.jhazmat.2021.126304
- Analysis of Changes and Statistical Characteristics in PM-2.5 based on the Seasonal Management Data H. Ahn et al. 10.4491/KSEE.2022.44.8.276
- The major chemical constituents of PM2.5 and airborne bacterial community phyla in Beijing, Seoul, and Nagasaki E. Park et al. 10.1016/j.chemosphere.2020.126870
- Aerosol vertical profile variations with seasons, air mass movements and local PM2.5 levels in three large China cities L. Wang et al. 10.1016/j.atmosenv.2020.117329
- Two pathways of how remote SST anomalies drive the interannual variability of autumnal haze days in the Beijing–Tianjin–Hebei region, China J. Wang et al. 10.5194/acp-19-1521-2019
- The spatially heterogeneous response of aerosol properties to anthropogenic activities and meteorology changes in China during 1980–2018 based on the singular value decomposition method S. Ding et al. 10.1016/j.scitotenv.2020.138135
- Radiative effects of clouds and fog on long-lasting heavy fog events in northern China L. Guo et al. 10.1016/j.atmosres.2020.105444
- Comparison of ambient air pollution levels of Amritsar during foggy conditions with that of five major north Indian cities: multivariate analysis and air mass back trajectories R. Yadav et al. 10.1007/s42452-020-03569-2
- Effects of anthropogenic precursor emissions and meteorological conditions on PM2.5 concentrations over the “2+26” cities of northern China J. Dong et al. 10.1016/j.envpol.2022.120392
- Temporal and spatial variations of haze and fog and the characteristics of PM2.5 during heavy pollution episodes in China from 2013 to 2018 B. Guo et al. 10.1016/j.apr.2020.07.019
- Isotopic imprints of aerosol ammonium over the north China plain A. Mgelwa et al. 10.1016/j.envpol.2022.120376
- Collective influences of boundary layer process and synoptic circulation on particulate pollution: A new study in changsha-zhuzhou-xiangtan urban agglomeration of central china T. Wang et al. 10.3389/fenvs.2022.939147
- The impacts of the atmospheric boundary layer on regional haze in North China Q. Li et al. 10.1038/s41612-021-00165-y
- Boundary layer structure characteristics under objective classification of persistent pollution weather types in the Beijing area Z. Sun et al. 10.5194/acp-21-8863-2021
- Distribution of Fine Particulate Matter Pollution in Winter over Eastern China Affected by Synoptic Conditions X. Liu et al. 10.3390/atmos15070821
- GAT-EGRU: A Deep Learning Prediction Model for PM2.5 Coupled with Empirical Modal Decomposition Algorithm G. Yang et al. 10.1007/s11518-023-5562-z
- Wintertime aerosol chemistry in Beijing during haze period: Significant contribution from secondary formation and biomass burning emission X. Li et al. 10.1016/j.atmosres.2018.10.010
- Response of fine particulate matter and ozone concentrations to meteorology and anthropogenic precursors over the “2+26” cities of northern China P. Liu et al. 10.1016/j.chemosphere.2024.141439
- Meteorological characteristics within boundary layer and its influence on PM2.5 pollution in six cities of North China based on WRF-Chem Z. Lv et al. 10.1016/j.atmosenv.2020.117417
- FogNet: A multiscale 3D CNN with double-branch dense block and attention mechanism for fog prediction H. Kamangir et al. 10.1016/j.mlwa.2021.100038
- AirMLP: A Multilayer Perceptron Neural Network for Temporal Correction of PM2.5 Values in Turin M. Casari et al. 10.3390/s23239446
- Impacts of the near-surface urban boundary layer structure on PM2.5 concentrations in Beijing during winter L. Wang et al. 10.1016/j.scitotenv.2019.03.097
- Size-Segregated Particulate Mass and Carbonaceous Components in Roadside and Riverside Environments M. Amin et al. 10.3390/app112110214
- Global synthesis of two decades of research on improving PM2.5 estimation models from remote sensing and data science perspectives K. Bai et al. 10.1016/j.earscirev.2023.104461
- Carbonaceous component of Total Suspended Particulate (TSP) in Makassar City, Sulawesi Island, Indonesia M. Amin et al. 10.1088/1755-1315/1199/1/012021
- The spatial and temporal variation of fine particulate matter pollution in Ethiopia: Data from the Atmospheric Composition Analysis Group (1998–2019) A. Shiferaw et al. 10.1371/journal.pone.0283457
- Exploring the Sensitivity of Visibility to PM2.5 Mass Concentration and Relative Humidity for Different Aerosol Types J. Wang et al. 10.3390/atmos13030471
- Estimating PM2.5 Concentrations Using Spatially Local Xgboost Based on Full-Covered SARA AOD at the Urban Scale Z. Fan et al. 10.3390/rs12203368
- Observational study of the vertical aerosol and meteorological factor distributions with respect to particulate pollution in Xi'an D. Huige et al. 10.1016/j.atmosenv.2021.118215
- Concentrations of Four Major Air Pollutants among Ecological Functional Zones in Shenyang, Northeast China L. Li et al. 10.3390/atmos11101070
- Regional source apportionment of trace metals in fine particulate matter using an observation-constrained hybrid model K. Liao et al. 10.1038/s41612-023-00393-4
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