Performance and application of air quality models on ozone simulation in China - A review

被引:37
作者
Yang, Jinya [1 ,2 ]
Zhao, Yu [1 ,2 ,3 ]
机构
[1] Nanjing Univ, State Key Lab Pollut Control & Resource Reuse, 163 Xianlin Rd, Nanjing 210023, Jiangsu, Peoples R China
[2] Nanjing Univ, Sch Environm, 163 Xianlin Rd, Nanjing 210023, Jiangsu, Peoples R China
[3] Nanjing Univ Informat Sci & Technol, Jiangsu Collaborat Innovat Ctr Atmospher Environm, Jiangsu 210044, Peoples R China
关键词
Air quality modeling; Ozone; China; Model evaluation; Emission control; RIVER DELTA REGION; CHEMICAL-TRANSPORT MODEL; BIOGENIC VOC EMISSIONS; ASIAN SUMMER MONSOON; SURFACE OZONE; TROPOSPHERIC OZONE; SOURCE APPORTIONMENT; EAST-ASIA; LAND-COVER; WRF-CHEM;
D O I
10.1016/j.atmosenv.2022.119446
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
China has experienced increasingly severe O3 pollution in recent years and air quality models (AQMs) have been widely used to understand it and to explore the possible solutions for it. Based on a thorough literature search, this review selected and investigated 212 AQM studies on Chinese O3 since 2010, with different models and spatial scales. We evaluated the model performance of O3 simulation and analyzed the main factors influencing the simulation. The correlation coefficients between simulation and observation were larger than 0.5 and the mean normalized biases (NMB) were within +/- 30% for nearly 80% of the cases collected from AQM studies. GEOS-Chem and CAMx commonly overestimated the ambient O3 concentration, while the biases for CMAQ, WRF-Chem and NAQPMS were less conclusive. More applications and better model performances were found for the Yangtze River Delta and Pearl River Delta regions. Single-domain simulation provided the best model per-formance at a horizontal resolution of 12-30 km, and the performance would improve further at 5-10 km with the use of nested-domain and refined local emission inventory. Effective efforts for improvement of the O3 simulation included incorporating chloride reactions with reactive nitrogen species, better considering the interaction with aerosols, and optimizing the parameterization schemes in meteorological processes and the land-use data. AQMs have been mainly applied in interpreting major driving forces and factors influencing O3 level, understanding its source-receptor relationship, and evaluating its environmental impacts and policy effectiveness. Based on the diagnosis and detection of various AQM methods, meteorology seemed to always play a positive and, since the implementation of emission control strategy, increasingly important role on the growth of O3 concentration, and thus should be taken more seriously in the future along with global warming. Source apportionment studies revealed that industry, transport and biogenic sources contributed almost 80% of O3 in China while only around 30% could be attributed to local contribution during O3 episodes in megacities. NOX- focused control measures led to a growth of O3 in urban areas with VOC-limited regime, as well as a shift from VOC-limited to transitional regime in heavily polluted areas of eastern China. VOCs emission control in areas with VOC-limited regime and the negative effect of global warming should be of great concerns on O3 pollution reduction in the future.
引用
收藏
页数:20
相关论文
共 50 条
  • [31] Toward the next generation of air quality monitoring: Ozone
    Bowman, Kevin W.
    ATMOSPHERIC ENVIRONMENT, 2013, 80 : 571 - 583
  • [32] Assessment of air quality benefits from national air pollution control policies in China. Part II: Evaluation of air quality predictions and air quality benefits assessment
    Wang, Litao
    Jang, Carey
    Zhang, Yang
    Wang, Kai
    Zhang, Qiang
    Streets, David
    Fu, Joshua
    Lei, Yu
    Schreifels, Jeremy
    He, Kebin
    Hao, Jiming
    Lam, Yun-Fat
    Lin, Jerry
    Meskhidze, Nicholas
    Voorhees, Scott
    Evarts, Dale
    Phillips, Sharon
    ATMOSPHERIC ENVIRONMENT, 2010, 44 (28) : 3449 - 3457
  • [33] Air quality modelling, simulation, and computational methods: a review
    El-Harbawi, Mohanad
    ENVIRONMENTAL REVIEWS, 2013, 21 (03): : 149 - 179
  • [34] Ozone distributions and urban air quality during summer in Agra - a world heritage site
    Saini, Renuka
    Singh, Pradyumn
    Awasthi, Brij B.
    Kumar, Krishan
    Taneja, Ajay
    ATMOSPHERIC POLLUTION RESEARCH, 2014, 5 (04) : 796 - 804
  • [35] Evaluating the impact of chemical boundary conditions on near surface ozone in regional climate-air quality simulations over Europe
    Akritidis, D.
    Zanis, P.
    Katragkou, E.
    Schultz, M. G.
    Tegoulias, I.
    Poupkou, A.
    Markakis, K.
    Pytharoulis, I.
    Karacostas, Th.
    ATMOSPHERIC RESEARCH, 2013, 134 : 116 - 130
  • [36] Deciphering the seasonal dynamics of multifaceted aerosol-ozone interplay: Implications for air quality management in Eastern China
    Li, Yasong
    Wang, Tijian
    Wang, Qin'geng
    Li, Mengmeng
    Qu, Yawei
    Wu, Hao
    Fan, Jiachen
    Shao, Min
    Xie, Min
    SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 946
  • [37] Potential Effect of Halogens on Atmospheric Oxidation and Air Quality in China
    Li, Qinyi
    Badia, Alba
    Wang, Tao
    Sarwar, Golam
    Fu, Xiao
    Zhang, Li
    Zhang, Qiang
    Fung, Jimmy
    Cuevas, Carlos A.
    Wang, Shanshan
    Zhou, Bin
    Saiz-Lopez, Alfonso
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2020, 125 (09)
  • [38] Air quality progress in North American megacities: A review
    Parrish, David D.
    Singh, Hanwant B.
    Molina, Luisa
    Madronich, Sasha
    ATMOSPHERIC ENVIRONMENT, 2011, 45 (39) : 7015 - 7025
  • [39] Co-benefit of forestation on ozone air quality and carbon storage in South China
    Liu, Zehui
    Zhou, Mi
    Li, Danyang
    Song, Tao
    Yue, Xu
    Lu, Xiao
    Zhao, Yuanhong
    Zhang, Lin
    NATURE COMMUNICATIONS, 2025, 16 (01)
  • [40] Air quality plan for ozone: an urgent need for North Portugal
    C. Borrego
    A. Monteiro
    H. Martins
    J. Ferreira
    A. P. Fernandes
    S. Rafael
    A. I. Miranda
    M. Guevara
    J. M. Baldasano
    Air Quality, Atmosphere & Health, 2016, 9 : 447 - 460