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作 者:王佳音[1] 刘闽[1] 王帅[1] 杜毅明 任万辉[1] 张丽辉[1] 侯乐[1] 杨碧波[1] 王闯[1] 林宏[1]
出 处:《环境保护与循环经济》2019年第2期58-62,共5页environmental protection and circular economy
基 金:沈阳市科学技术计划项目(17-184-9-00)
摘 要:为进一步探究沈阳市重污染过程特征及形成机理,以2016年12月15—21日的重污染过程为例,结合污染期间地面气象要素和天气形势背景场,分别利用微脉冲激光雷达垂直探测和单颗粒气溶胶质谱仪源解析结果进行综合分析,并在污染过程结束后对预报结果进行评估。结果表明,此次持续性重污染过程,观测时段内60.1%的污染时段达到重度及以上污染级别。重污染过程与静稳的天气形势密切相关,风速小、湿度大、逆温强、边界层低等不利的气象扩散条件是主因,本地污染源排放也是不可忽视的。源解析结果显示,燃煤源占比在此次重污染过程中最高,随着污染过程的持续,二次无机源占比逐渐升高。从重污染期间的预报结果与实况结果对比看,随着预报时间的延长,预报准确率逐渐降低。In order to study the characteristics and formation mechanism of heavy air pollution episode in Shenyang,taking a heavy air pollution process during 15 th-21 thDecember in 2016 as an example,combining with the weather conditions and atmospheric environmental background,make a comprehensive analysis by using the EV-LIDAR and SPAMS,and evaluate the forecast results after the end of the pollution process. The results showed that during the heavy pollution episode,60.1% of the pollution episode exceeded heavy level or above pollution level. The heavy pollution episode was closely related to the local meteorological conditions;the small wind speed,high relative humidity,low PBL,and the strong inversion were the main reasons. The emission of local pollution is another important factor. The result of SPAMS showed that the proportion of coal burning was the highest,and the secondary inorganic sources cannot be ignored. In general,the forecast accuracy is gradually reduced with the extension of the forecast time.
关 键 词:重污染 形成机理 激光雷达 SPAMS 评估 沈阳市
分 类 号:X823[环境科学与工程—环境工程]
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