Advanced Search
Impact Factor: 5.8

Volume 24 Issue 4

Jul.  2007

Article Contents
Article >  ADVANCES IN ATMOSPHERIC SCIENCES  > 2007 >  24(4): 688-699

Atmospheric Environmental Capacity of SO2 in Winter over Lanzhou in China: A Case Study

  • 1.

    College of Environmental Sciences, Peking University, Beijing 100871;Centre for Atmosphere Watch and Service, China Meteorological Administration, Beijing 100871,Key Laboratory of Arid Climatic Changing and Reducing Disaster of Gansu Province, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000,National Climate Centre, China Meteorological Administration, Beijing 100871


doi: 10.1007/s00376-007-0688-3

  • The total emission control method based on atmospheric environmental capacity is the most effective in air pollution mitigation. The atmospheric environmental capacities of SO2 on representative days over Lanzhou are estimated using the numerical models RAMS, HYPACT and a linear programming model, according to the national ambient air quality standard of China (NAAQSCHN). The results show that the fields of meteorological elements and SO2 simulated by the models agree reasonably well with observations. The atmospheric environmental capacity of SO2 over Lanzhou is around 111.7×103 kg d-1, and in order to meet the air quality level II of the NAAQSCHN, SO2 emissions need to be reduced by 20%.
  • [1] Hao LUO, Yong HAN, Chunsong LU, Jun YANG, Yonghua WU, 2019: Characteristics of Surface Solar Radiation under Different Air Pollution Conditions over Nanjing, China: Observation and Simulation, ADVANCES IN ATMOSPHERIC SCIENCES, 36, 1047-1059.  doi: 10.1007/s00376-019-9010-4
    [2] Mei Zheng, Tianle ZHANG, Yaxin XIANG, Xiao Tang, Yinan Wang, Guannan GENG, Yuying WANG, Yingjun LIU, Chunxiang Ye, Caiqing Yan, Yingjun CHEN, Jiang Zhu, Qiang Zhang, Tong Zhu, 2024: A Newly Established Air Pollution Data Center in China, ADVANCES IN ATMOSPHERIC SCIENCES.  doi: 10.1007/s00376-024-4055-4
    [3] Jiang Weimei, Yu Hongbin, 1994: Study on the Thermal Internal Boundary Layer and Dispersion of Air Pollutant in Coastal Area by Numerical Simulation, ADVANCES IN ATMOSPHERIC SCIENCES, 11, 285-290.  doi: 10.1007/BF02658147
    [4] BI Yun, CHEN Yuejuan, ZHOU Renjun, YI Mingjian, DENG Shumei, 2011: Simulation of the Effect of an Increase in Methane on Air Temperature, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 129-138.  doi: 10.1007/s00376-010-9197-x
    [5] YANG Jing, BAO Qing, JI Duoying, GONG Daoyi, MAO Rui, ZHANG Ziyin, Seong-Joong KIM, 2014: Simulation and Causes of Eastern Antarctica Surface Cooling Related to Ozone Depletion during Austral Summer in FGOALS-s2, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 1147-1156.  doi: 10.1007/s00376-014-3144-1
    [6] Hyo-Eun JI, Soon-Hwan LEE, Hwa-Woon LEE, 2013: Characteristics of Sea Breeze Front Development with Various Synoptic Conditions and Its Impact on Lower Troposphere Ozone Formation, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 1461-1478.  doi: 10.1007/s00376-013-2256-3
    [7] ZHAO Haikun, WU Liguang*, and WANG Ruifang, 2014: Decadal Variations of Intense Tropical Cyclones over the Western North Pacific during 19482010, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 57-65.  doi: 10.1007/s00376-013-3011-5
    [8] HU Dingzhu, TIAN Wenshou, XIE Fei, SHU Jianchuan, and Sandip DHOMSE, , 2014: Effects of Meridional Sea Surface Temperature Changes on Stratospheric Temperature and Circulation, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 888-900.  doi: 10.1007/s00376-013-3152-6
    [9] SUN Zhian, WANG Xiaoyun, ZENG Xianning, 2006: Radiative Forcing of SO2 and NOx: A Case Study in Beijing, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 317-322.  doi: 10.1007/s00376-006-0317-6
    [10] ZANG Zengliang, ZHANG Ming, 2008: A Study of the Environmental Influence on the Amplitude of Lee Waves, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 474-480.  doi: 10.1007/s00376-008-0474-x
    [11] Tianxue ZHENG, Yongbo TAN, Yiru WANG, 2021: Numerical Simulation to Evaluate the Effects of Upward Lightning Discharges on Thunderstorm Electrical Parameters, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 446-459.  doi: 10.1007/s00376-020-0154-z
    [12] Yang Fanglin, Yuan Chongguang, 1993: Numerical Simulation of Regional Short-Range Climate Anomalies, ADVANCES IN ATMOSPHERIC SCIENCES, 10, 335-344.  doi: 10.1007/BF02658139
    [13] Xie Zhenghui, Dai Yongjiu, Zeng Qingcun, 1999: An Unsaturated Soil Water Flow Problem and Its Numerical Simulation, ADVANCES IN ATMOSPHERIC SCIENCES, 16, 183-196.  doi: 10.1007/BF02973081
    [14] Wu Guoxiong, Liu Hui, Zhao Yucheng, Li Weiping, 1996: A Nine-layer Atmospheric General Circulation Model and Its Performance, ADVANCES IN ATMOSPHERIC SCIENCES, 13, 1-18.  doi: 10.1007/BF02657024
    [15] LIU Juanjuan, WANG Bin, 2011: Rainfall Assimilation Using a New Four-Dimensional Variational Method: A Single-Point Observation Experiment, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 735-742.  doi: 10.1007/s00376-010-0061-9
    [16] Pan SONG, Jiang ZHU, Zhong ZHONG, Linlin QI, Xiaodan WANG, 2016: Impact of Atmospheric and Oceanic Conditions on the Frequency and Genesis Location of Tropical Cyclones over the Western North Pacific in 2004 and 2010, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 599-613.  doi: 10.1007/s00376-015-5046-2
    [17] XU Zhifang, GE Wenzhong, DANG Renqing, Toshio IGUCHI, Takao TAKADA, 2003: Application of TRMM/PR Data for Numerical Simulations with Mesoscale Model MM5, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 185-193.  doi: 10.1007/s00376-003-0003-x
    [18] Chen Yuejuan, Zheng Bin, Zhang Hong, 2002: The Features of Ozone Quasi-Biennial Oscillation in Tropical Stratosphere and Its Numerical Simulation, ADVANCES IN ATMOSPHERIC SCIENCES, 19, 777-793.  doi: 10.1007/s00376-002-0044-6
    [19] PING Fan, GAO Shouting, WANG Huijun, 2003: A Comparative Study of the Numerical Simulation of the 1998 Summer Flood in China by Two Kinds of Cumulus Convective Parameterized Methods, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 149-157.  doi: 10.1007/BF03342059
    [20] Jianjun LIU, Feimin ZHANG, Zhaoxia PU, 2017: Numerical Simulation of the Rapid Intensification of Hurricane Katrina (2005): Sensitivity to Boundary Layer Parameterization Schemes, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 482-496.  doi: 10.1007/s00376-016-6209-5
PDF

Get Citation+

shu
Export:  

Share Article

Article Metrics

Article Views: 1789 Times

PDF downloads: 1964 Times

Cited by: Times
  • 加载中

    • Manuscript History

    Manuscript received: 10 July 2007
    Manuscript revised: 10 July 2007
    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Atmospheric Environmental Capacity of SO2 in Winter over Lanzhou in China: A Case Study

    • 1. College of Environmental Sciences, Peking University, Beijing 100871;Centre for Atmosphere Watch and Service, China Meteorological Administration, Beijing 100871,Key Laboratory of Arid Climatic Changing and Reducing Disaster of Gansu Province, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000,National Climate Centre, China Meteorological Administration, Beijing 100871
    • Manuscript received: 2007-07-10
    • Manuscript revised: 2007-07-10

    Abstract: The total emission control method based on atmospheric environmental capacity is the most effective in air pollution mitigation. The atmospheric environmental capacities of SO2 on representative days over Lanzhou are estimated using the numerical models RAMS, HYPACT and a linear programming model, according to the national ambient air quality standard of China (NAAQSCHN). The results show that the fields of meteorological elements and SO2 simulated by the models agree reasonably well with observations. The atmospheric environmental capacity of SO2 over Lanzhou is around 111.7×103 kg d-1, and in order to meet the air quality level II of the NAAQSCHN, SO2 emissions need to be reduced by 20%.

      HTML

    Catalog

      Publish with AAS

      Contact us

      Links

      Copyright © 2018-2028 ADVANCES IN ATMOSPHERIC SCIENCES 京ICP备14024088号-7

      Supported by: Beijing Renhe Information Technology Co. Ltd  support: info@rhhz.net  

      /

      DownLoad:  Full-Size Img  PowerPoint
      Return
      Return