摘要
采用KINAL模式,利用典型臭氧消除事件(ODE)过程中无机源和有机源的平均强度和排放清单,模拟了3种源排放情形下,ODE过程中含溴物质浓度与臭氧浓度的时间变化,并对有机溴强度进行敏感性实验,结果表明:仅有无机源时,ODE过程中含溴物质浓度与O3浓度有显著的负相关,ODE从开始到O3完全消耗的时间约5.4d.加入平均强度的有机源后,O3消耗更快,它的总消耗时间较仅有无机源时减少1.3d;同时,在ODE起始阶段,边界层内的溴含量提升更快,导致ODE起始阶段缩短约1.2d.有机源无论以HOBr为主还是以Br2为主,其排放构成在ODE过程中并不重要,无论它以何种形式向边界层排放含溴物质,均通过缩短起始阶段来影响ODE的进程.有机源的排放强度与O3的消耗速率呈显著的正相关,随着有机源强度升高,它对ODE起始阶段的缩短效应逐渐减弱,它意味着起始阶段至少持续3d;消耗阶段O3浓度降低并不受有机源强度变化的影响.
By using the numerical model KINAL, the present research simulated the temporal evolution of ozone and bromine species in a typical Arctic ozone depletion event(ODE) under three source fluxes. The organic source intensity was also put to a sensitivity analysis to examine its impact on the ODE. The results have revealed several facts as following: There was a significant negative correlation between the atmospheric ozone and bromine. When there was only inorganic source input, it took 5.4 d to completely consume ozone in the boundary layer. After adding organic source emissions of an average intensity to the model, the ozone depleting process was accelerated for about 1.3 d. Concentration of bromine in the boundary layer was enhanced, causing the induction stage of the ODE to shorten for 1.2 d. The ODE acceleration did not change obviously, whether HOBr or Br2 made the major species in the organic source emission. The bromine species enhanced the ODE by accelerating the induction stage. A significant positive correlation was found between the organic source intensity and the consumption rate of atmospheric ozone. When the organic source intensity rised, the acceleration effect on the induction stage of the ODE was abated. The induction stage lasted for at least 3 days. The temporal evolution of ozone was not greatly impacted by the organic sources.
作者
刘炤寰
韩永翔
LIU Zhao-huan;HAN Yong-xiang(Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China)
出处
《中国环境科学》
EI
CAS
CSCD
北大核心
2019年第6期2299-2303,共5页
China Environmental Science
基金
国家自然科学基金资助项目(41375158)
关键词
臭氧
数值模拟
敏感性实验
ozone
numerical simulation
sensitivity analysis