Articles | Volume 18, issue 16
https://doi.org/10.5194/acp-18-12207-2018
© Author(s) 2018. 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-18-12207-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Modeling study of impacts on surface ozone of regional transport and emissions reductions over North China Plain in summer 2015
Xiao Han
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry,
Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
College of Earth Science, University of Chinese Academy of Sciences, Beijing 100049, China
Lingyun Zhu
CORRESPONDING AUTHOR
Shanxi Province Institute of Meteorological Sciences, Taiyuan 030002, China
Shulan Wang
Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
Xiaoyan Meng
China National Environmental Monitoring Centre, Beijing, 100012, China
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry,
Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
College of Earth Science, University of Chinese Academy of Sciences, Beijing 100049, China
Jun Hu
Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
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- Ozone responses to reduced precursor emissions: A modeling analysis on how attainable goals can improve air quality in the Mexico City Metropolitan Area J. Vazquez Santiago et al. 10.1016/j.scitotenv.2023.169180
51 citations as recorded by crossref.
- Maximizing ozone control by spatial sensitivity-oriented mitigation strategy in the Pearl River Delta Region, China R. Wang et al. 10.1016/j.scitotenv.2023.166987
- Identification of Key Anthropogenic Voc Species and Sources Controlling Summer Ozone Formation in China Y. Shi et al. 10.2139/ssrn.4156529
- Assessing uncertainty and heterogeneity in machine learning-based spatiotemporal ozone prediction in Beijing-Tianjin- Hebei region in China M. Cheng et al. 10.1016/j.scitotenv.2023.163146
- Spatial Patterns in the Extreme Dependence of Ozone Pollution between Cities in China’s BTH Region L. Deng & S. Sheng 10.3390/atmos14010141
- Source–Receptor Relationship Revealed by the Halted Traffic and Aggravated Haze in Beijing during the COVID-19 Lockdown Z. Lv et al. 10.1021/acs.est.0c04941
- The effect of cross-regional transport on ozone and particulate matter pollution in China: A review of methodology and current knowledge K. Qu et al. 10.1016/j.scitotenv.2024.174196
- Identification of key anthropogenic VOC species and sources controlling summer ozone formation in China Y. Shi et al. 10.1016/j.atmosenv.2023.119623
- Mitigation of air pollutant impacts on rice yields in China by sector J. Xu et al. 10.1088/1748-9326/ac681c
- Unveiling tropospheric ozone by the traditional atmospheric model and machine learning, and their comparison:A case study in hangzhou, China R. Feng et al. 10.1016/j.envpol.2019.05.101
- Isoprenoid emissions from natural vegetation increased rapidly in eastern China L. Li et al. 10.1016/j.envres.2021.111462
- Large variability of O3-precursor relationship during severe ozone polluted period in an industry-driven cluster city (Zibo) of North China Plain K. Li et al. 10.1016/j.jclepro.2021.128252
- Nonlinear and lagged effects of VOCs on SOA and O3 and multi-model validated control strategy for VOC sources R. Wang et al. 10.1016/j.scitotenv.2023.164113
- Validation of OMI HCHO Products Using MAX-DOAS observations from 2010 to 2016 in Xianghe, Beijing: Investigation of the Effects of Aerosols on Satellite Products Y. Wang et al. 10.3390/rs11020203
- Local and regional contributions to fine particulate matter in the 18 cities of Sichuan Basin, southwestern China X. Qiao et al. 10.5194/acp-19-5791-2019
- MICS-Asia III: multi-model comparison and evaluation of aerosol over East Asia L. Chen et al. 10.5194/acp-19-11911-2019
- Diagnosis of photochemical O3 production of urban plumes in summer via developing the real-field IRs of VOCs: A case study in Beijing of China S. Chen et al. 10.1016/j.envpol.2022.120836
- Performance and application of air quality models on ozone simulation in China – A review J. Yang & Y. Zhao 10.1016/j.atmosenv.2022.119446
- Comparison of the ozone formation mechanisms and VOCs apportionment in different ozone pollution episodes in urban Beijing in 2019 and 2020: Insights for ozone pollution control strategies Y. Li et al. 10.1016/j.scitotenv.2023.168332
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- Ozone Formation at a Suburban Site in the Pearl River Delta Region, China: Role of Biogenic Volatile Organic Compounds J. Wang et al. 10.3390/atmos14040609
- Effects of air pollution control measures on air quality improvement in Guangzhou, China M. Yu et al. 10.1016/j.jenvman.2019.05.046
- High-resolution emission inventory of gaseous and particulate pollutants in Shandong Province, eastern China P. Jiang et al. 10.1016/j.jclepro.2020.120806
- Identifying the dominant driver of elevated surface ozone concentration in North China plain during summertime 2012–2017 J. Cao et al. 10.1016/j.envpol.2022.118912
- Ozone episodes during and after the 2018 Chinese National Day holidays in Guangzhou: Implications for the control of precursor VOCs J. Wang et al. 10.1016/j.jes.2021.09.009
- Substantial ozone enhancement over the North China Plain from increased biogenic emissions due to heat waves and land cover in summer 2017 M. Ma et al. 10.5194/acp-19-12195-2019
- Impacts of Ozone‐Vegetation Interactions on Ozone Pollution Episodes in North China and the Yangtze River Delta C. Gong et al. 10.1029/2021GL093814
- Modeling Ozone Source Apportionment and Performing Sensitivity Analysis in Summer on the North China Plain Y. Zhang et al. 10.3390/atmos11090992
- A review of surface ozone source apportionment in China H. LIU et al. 10.1080/16742834.2020.1768025
- The WRF-CMAQ Simulation of a Complex Pollution Episode with High-Level O3 and PM2.5 over the North China Plain: Pollution Characteristics and Causes X. Dou et al. 10.3390/atmos15020198
- Vertical variations of ozone transport flux at multiple altitudes and identification of major transport direction in the North China Plain H. Zhang et al. 10.1016/j.jes.2024.05.046
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- Regional source apportionment of summertime ozone and its precursors in the megacities of Beijing and Shanghai using a source-oriented chemical transport model P. Wang et al. 10.1016/j.atmosenv.2020.117337
- Spatiotemporal variation of surface ozone and its causes in Beijing, China since 2014 J. Ren et al. 10.1016/j.atmosenv.2021.118556
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- Long-term trend of ozone pollution in China during 2014–2020: distinct seasonal and spatial characteristics and ozone sensitivity W. Wang et al. 10.5194/acp-22-8935-2022
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- Spatiotemporal mapping of atmospheric aldehydes over Beijing in summer during 2019–2021 via their source apportionment study K. Chen et al. 10.1016/j.atmosres.2023.106723
- Aggravating O3 pollution due to NOx emission control in eastern China N. Wang et al. 10.1016/j.scitotenv.2019.04.388
- Study on the contribution of transport to PM2.5 in typical regions of China using the regional air quality model RAMS-CMAQ R. Li et al. 10.1016/j.atmosenv.2019.116856
- Implications of ozone transport on air quality in the Sichuan Basin, China Y. Zhang et al. 10.1007/s11356-024-33991-7
- Spatiotemporal variations of air pollution and population exposure in Shandong Province, eastern China, 2014–2018 X. Zhong et al. 10.1007/s10661-022-09769-0
- Ozone responses to reduced precursor emissions: A modeling analysis on how attainable goals can improve air quality in the Mexico City Metropolitan Area J. Vazquez Santiago et al. 10.1016/j.scitotenv.2023.169180
Latest update: 24 Dec 2024
Short summary
In this paper, we applied an air quality modeling system called RAMS-CMAQ coupled with the ISAM module to investigate the regional contributions of O3 among major regions of the NCP and to quantify the relative amount of O3 originating from specific VOC and NOx emissions sources. The modeling system allows us to capture valuable information regarding how to choose the correct sequence and efficient combinations by exploring the key thresholds from the bulk of sensitivity tests.
In this paper, we applied an air quality modeling system called RAMS-CMAQ coupled with the ISAM...
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