Urban air quality and regional haze weather forecast for Yangtze River Delta region

被引:132
|
作者
Wang, Tijian [1 ]
Jiang, Fei [2 ]
Deng, Junjun [1 ,5 ]
Shen, Yi [1 ]
Fu, Qinyan [3 ]
Wang, Qian [3 ]
Fu, Yin [4 ]
Xu, Jianhua [4 ]
Zhang, Danning [4 ]
机构
[1] Nanjing Univ, Sch Atmospher Sci, Nanjing 210093, Jiangsu, Peoples R China
[2] Nanjing Univ, Int Inst Earth Syst Sci, Nanjing 210093, Jiangsu, Peoples R China
[3] Shanghai Environm Monitoring Ctr, Shanghai 200030, Peoples R China
[4] Nanjing Environm Monitoring Ctr, Nanjing 210008, Jiangsu, Peoples R China
[5] Chinese Acad Sci, Key Lab Urban Environm & Hlth, Inst Urban Environm, Xiamen 361021, Peoples R China
关键词
Air quality forecast; Haze weather forecast; Yangtze River Delta; Nanjing; Shanghai; CHEMICAL-CHARACTERIZATION; POLLUTION; EMISSIONS; TRENDS; MODEL; EXTINCTION; VISIBILITY; COMPONENTS; AEROSOLS; SYSTEM;
D O I
10.1016/j.atmosenv.2012.01.014
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Air pollution and haze weather have become more and more important environmental and meteorological issues in Yangtze River Delta (YRD) region of China. In order to foster urban and regional air quality management and realize operational prediction and early warning of air pollution and haze weather episode, an urban air quality forecasting system based on the new generation of weather research forecast and chemistry model WRF-Chem and a regional haze weather forecasting system based on Regional Atmospheric Environment Modeling System (RegAEMS) were applied in Shanghai. Nanjing and YRD area. More than one year runs and typical case studies show that WRF-Chem performed well in urban air quality forecast on surface concentrations of air pollutants such as SO2, NO2 and PM10. The accuracy rate of prediction on urban Air Pollution Index (API) is 50-83% and 80% for Shanghai and Nanjing, respectively. RegAEMS presents relatively good ability in forecast on regional haze weather. A new classification standard on haze level was proposed, which take the key parameters such as relative humidity, PM2.5 and visibility into account. It is estimated that RegAEMS predicts haze level with accuracy rate of 58 and 77% for Nanjing and Shanghai in YRD region. Many factors, including meteorology, emission inventory and chemical processes can be attributable to the forecast bias. However, from this study, it is highly suggested that improvements of emission inventory from construction dust, fugitive dust, soil dust, transportation and biomass burning are very crucial to get better performance on air quality and haze weather prediction. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:70 / 83
页数:14
相关论文
共 50 条
  • [21] Dynamics of environmental quality and economic development: the regional experience from Yangtze River Delta of China
    Zhang, Jingjing
    Gangopadhyay, Partha
    APPLIED ECONOMICS, 2015, 47 (29) : 3113 - 3123
  • [22] Potential impacts of cold frontal passage on air quality over the Yangtze River Delta, China
    Kang, Hanqing
    Zhu, Bin
    Gao, Jinhui
    He, Yao
    Wang, Honglei
    Su, Jifeng
    Pan, Chen
    Zhu, Tong
    Yu, Bu
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2019, 19 (06) : 3673 - 3685
  • [23] Source apportionments of black carbon induced by local and regional transport in the atmospheric boundary layer of the Yangtze River Delta under stable weather conditions
    Cheng, Yingfei
    Zhu, Bin
    Wang, Lijuan
    Lu, Wen
    Kang, Hanqing
    Gao, Jinhui
    SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 840
  • [24] Impact of urban expansion on regional temperature change in the Yangtze River Delta
    Yin Du
    Zhiqing Xie
    Yan Zeng
    Yafeng Shi
    Jingang Wu
    Journal of Geographical Sciences, 2007, 17 : 387 - 398
  • [25] Carbon reduction of urban form strategies: Regional heterogeneity in Yangtze River Delta, China
    Jin, Yushan
    Xu, Yuanshuo
    LAND USE POLICY, 2024, 141
  • [26] Impact of urban expansion on regional temperature change in the Yangtze River Delta
    Du Yin
    Xie Zhiqing
    Zeng Yan
    Shi Yafeng
    Wu Jingang
    JOURNAL OF GEOGRAPHICAL SCIENCES, 2007, 17 (04) : 387 - 398
  • [27] Characterization of air pollution in urban areas of Yangtze River Delta, China
    Tan Chen
    Shulin Deng
    Yu Gao
    Lean Qu
    Manchun Li
    Dong Chen
    Chinese Geographical Science, 2017, 27 : 836 - 846
  • [28] Characterization of Air Pollution in Urban Areas of Yangtze River Delta, China
    CHEN Tan
    DENG Shulin
    GAO Yu
    QU Lean
    LI Manchun
    CHEN Dong
    Chinese Geographical Science, 2017, 27 (05) : 836 - 846
  • [29] Urban development and landscape change in the Yangtze River Delta region in China
    Kim, S.
    INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY, 2019, 26 (02) : 141 - 153
  • [30] Quantifying the Impacts of COVID-19 Lockdown and Spring Festival on Air Quality over Yangtze River Delta Region
    Javed, Zeeshan
    Tanvir, Aimon
    Wang, Yuhang
    Waqas, Ahmed
    Xie, Mingjie
    Abbas, Adnan
    Sandhu, Osama
    Liu, Cheng
    ATMOSPHERE, 2021, 12 (06)