Cai Zi-Ying, Hao Jian, Han Su-Qin, Tang Ying-Xiao, Yang Xu, Fan Wen-Yan, Yao Qing, Qiu Xiao-Bin
Tianjin Environmental Meteorological Center, Tianjin 300074, China.
CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research, Tianjin 300074, China.
Huan Jing Ke Xue. 2022 Mar 8;43(3):1129-1139. doi: 10.13227/j.hjkx.202108182.
Based on real-time tracking data, PM mass concentration, and meteorological observations of the Tianjin Meteorological Bureau and the Ecological Environment Bureau, combined with the fine particle meteorological condition diffusion index constructed using the environmental model, the change and driving factors of the PM mass concentration in Tianjin from 2000 to 2020 were studied to analyze the impact of meteorology on the atmospheric environment. The study showed that change in PM mass concentration in Tianjin took place in three stages from 2000 to 2020; the first stage showed a continuous increase from 2000 to 2007. The rapid increase in emissions in this stage was the dominant factor, and its effect was four times that of the annual fluctuation in meteorological conditions. The second stage was from 2007 to 2013, in which the PM mass concentration fluctuated, with two peak years (2007 and 2013). The emissions were stable in this stage. The annual fluctuation of meteorological conditions had an important influence on the annual fluctuation in PM mass concentration. The third stage was from 2013 to 2020; the PM mass concentration decreased rapidly, and the decline in emissions was decisive, which reduced the PM mass concentration by 40% to 50%. The improvement in the meteorological diffusion conditions also provided a positive contribution, which reduced the PM mass concentration by approximately 10%. Based on the analysis of the data over the past 20 years, the annual variation in atmospheric diffusion conditions caused by the annual variation in meteorological conditions was periodic, with trough values from 2003 to 2004 and 2013 to 2015 and peaks from 2008 to 2010 and 2018 to 2020; the distance between peaks and valleys was approximately 11 years. It was estimated that the next atmospheric diffusion condition valley stage will occur circa 2025. The average intensity of the annual fluctuation in atmospheric diffusion conditions caused by the annual variation in meteorological conditions was 4%, which can explain 25%-50% of the annual variation in PM mass concentration over the past 20 years, with a difference between peaks and valleys of 16%. The periodic fluctuations in meteorological diffusion conditions have an important impact on the future PM target setting and corresponding measures design.
基于天津市气象局和生态环境局的实时跟踪数据、颗粒物质量浓度及气象观测数据,结合利用环境模型构建的细颗粒物气象条件扩散指数,研究了2000年至2020年天津市颗粒物质量浓度的变化及驱动因素,以分析气象对大气环境的影响。研究表明,2000年至2020年天津市颗粒物质量浓度变化分为三个阶段;第一阶段为2000年至2007年持续上升,该阶段排放快速增加是主导因素,其作用是气象条件年波动作用的四倍。第二阶段为2007年至2013年,颗粒物质量浓度波动,有两个峰值年份(2007年和2013年),该阶段排放稳定,气象条件年波动对颗粒物质量浓度年波动有重要影响。第三阶段为2013年至2020年,颗粒物质量浓度快速下降,排放下降起决定性作用,使颗粒物质量浓度降低了40%至50%,气象扩散条件改善也起到了积极作用,使颗粒物质量浓度降低了约10%。基于对过去20年数据的分析,气象条件年变化引起的大气扩散条件年变化具有周期性,低谷值出现在2003年至2004年以及2013年至2015年,峰值出现在2008年至2010年以及2018年至2020年;峰谷间距约为11年。预计下一个大气扩散条件低谷阶段将在2025年左右出现。气象条件年变化引起的大气扩散条件年波动平均强度为4%,可解释过去20年颗粒物质量浓度年变化的25%至50%,峰谷差值为16%。气象扩散条件的周期性波动对未来颗粒物目标设定及相应措施设计有重要影响。