ESTIMATION OF THE GROUND-LEVEL OZONE LIFETIME UNDER RURAL CONDITIONS

被引:4
|
作者
Sakalys, J. [1 ]
Girgzdiene, R. [1 ]
机构
[1] Ctr Phys Sci & Technol, Inst Phys, LT-02300 Vilnius, Lithuania
来源
LITHUANIAN JOURNAL OF PHYSICS | 2010年 / 50卷 / 02期
关键词
ozone lifetime; solar radiation intensity and duration; seasons; rural conditions; UNITED-STATES; MODEL; DEPOSITION; TRANSPORT; BUDGET; LAYER;
D O I
10.3952/lithjphys.50211
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The investigation of the ozone formation and destruction is of great interest because ozone influences the atmospheric chemistry and plays an important role in the climate change. The ground-level ozone lifetime alters depending on physical and chemical properties of the locality, meteorological factors, atmospheric turbulence, and other conditions. In this paper, the method of estimation of the ozone lifetime under rural conditions is presented. The discrepancy between the solar intensity as well as related turbulent air mixing maximum and the ozone concentration maximum during the day was used in the lifetime calculations. The solar radiation intensity and duration were taken as main parameters in calculating the ozone lifetime by estimating the ozone enrichment at the ground level. In the calculations the least-squares method was applied. The ground-level average ozone lifetime was estimated to be in the range of 3.6-5.6 hours at the rural Preila station and in the range of 2.8-3.9 hours at the Rugsteliskis station during different seasons.
引用
收藏
页码:247 / 254
页数:8
相关论文
共 50 条
  • [21] Effects of meteorological conditions and anthropogenic precursors on ground-level ozone concentrations in Chinese cities
    Liu, Pengfei
    Song, Hongquan
    Wang, Tuanhui
    Wang, Feng
    Li, Xiaoyang
    Miao, Changhong
    Zhao, Haipeng
    [J]. ENVIRONMENTAL POLLUTION, 2020, 262
  • [22] Statistical models for monitoring and regulating ground-level ozone
    Gilleland, E
    Nychka, D
    [J]. ENVIRONMETRICS, 2005, 16 (05) : 535 - 546
  • [23] Modelling ground-level ozone concentration using copulas
    Fernández-Durán, JJ
    [J]. BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING, 2004, 707 : 406 - 413
  • [24] OBSERVATIONS OF STRATOSPHERIC OZONE AT THE GROUND-LEVEL IN REGINA, CANADA
    CHUNG, YS
    DANN, T
    [J]. ATMOSPHERIC ENVIRONMENT, 1985, 19 (01) : 157 - 162
  • [25] A ground-level ozone forecasting model for Santiago, Chile
    Jorquera, H
    Palma, W
    Tapia, J
    [J]. JOURNAL OF FORECASTING, 2002, 21 (06) : 451 - 472
  • [26] Trends and scenarios of ground-level ozone concentrations in Finland
    Laurila, T
    Tuovinen, JP
    Tarvainen, V
    Simpson, D
    [J]. BOREAL ENVIRONMENT RESEARCH, 2004, 9 (02): : 167 - 184
  • [27] A Comparison of Representations for the Prediction of Ground-Level Ozone Concentration
    Daniels, Benjamin
    Corns, Steven
    Cudney, Elizabeth
    [J]. 2012 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2012,
  • [28] FACTORS INFLUENCING THE GROUND-LEVEL DISTRIBUTION OF OZONE IN EUROPE
    DERWENT, RG
    KAY, PJA
    [J]. ENVIRONMENTAL POLLUTION, 1988, 55 (03) : 191 - 219
  • [29] Recommender System for Ground-Level Ozone Predictions in Kuwait
    Mahmood, Mahmood A.
    Al-Shamari, Eiman Tamah
    El-Bendary, Nashwa
    Hassanien, Aboul Ella
    Hefny, Hesham A.
    [J]. 2013 FEDERATED CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS (FEDCSIS), 2013, : 107 - 110
  • [30] Understanding Temporal Patterns and Determinants of Ground-Level Ozone
    Wang, Junshun
    Dong, Jin
    Guo, Jingxian
    Cai, Panli
    Li, Runkui
    Zhang, Xiaoping
    Xu, Qun
    Song, Xianfeng
    [J]. ATMOSPHERE, 2023, 14 (03)