摘要
利用连云港酸雨观测资料和颗粒物浓度数据,分析了2008-2016年该地区酸雨的变化特征,同时讨论了酸雨发生前污染物浓度及其源地分布特点。结果表明:(1)统计时段内,连云港南、北部年均酸雨日数分别为33.2、21.3d;酸雨的年均pH分别为4.35和4.46,均达到强酸雨等级;8-9月酸雨日数最多,1月最少,但冬季酸雨频率较高。(2)连云港南、北部酸雨发生前平均连续无降水日数分别为2.8、4.0d,且连续性降水的酸雨酸性并不会因为前一天有降水而明显减弱。(3)酸雨开始前,南部地区大气中SO2平均质量浓度达27.6μg/m3,为北部地区的两倍。基于拉格朗日混合单粒子轨迹(HYSPLIT)模式的后向轨迹聚类分析表明,西北和偏南两种路径在连云港南、北两地强酸雨发生前气团轨迹中占比较大,均达60%以上,其源地分别对应华北和长三角两个工业集中、SO2等污染物排放高的地区。
Based on the acid rain and particulate density observed data from 2008 to 2016,the variation tendency,pollutant density and its trajectories of acid rain were analyzed in Lianyungang.The results indicated that:(1)the numbers of acid rain days in the south and north of Lianyungang were 33.2,21.3 d.The average pH in the southern area was 4.35 while that in the northern part was 4.46,which all reached the level of strong acid rain.The number of acid rain days during August and September accounted for the largest percentage,and that of January ranked last,but the frequency of acid rain was higher in winter.(2)The average numbers of no rain days before acid rain occurred in the south and north of Lianyungang were 2.8,4.0 drespectively.And the acidity of rain would not significantly reduce because of the precipitation in the previous day.(3)Before acid rain occurred,the average density of SO2 in the southern area reached 27.6μg/m3,which was twice as high as that in the northern area.Backward trajectory clustering based on HYSPLIT model showed that the paths from northwest and south shared the largest proportion(both above 60%)in the trajectories before strong acid rain occurred.The sources of pollutant for these two paths corresponded respectively to North China and Yangtze River Delta region,which were related to concentrating industry and high emission of particulates like SO2.
作者
刘瑞翔
陈飞
刘端阳
董京铭
白雪
LIU Ruixiang;CHEN Fei;LIU Duanyang;DONG Jingming;BAI Xue(Key Laboratory of Transportation Meteorology,China Meteorological Administration,Nanjing Jiangsu 210008;Lianyungang Meteorological Bureau,Lianyungang Jiangsu 222000;Jiangsu Meteorological Observatory,Nanjing Jiangsu 210008)
出处
《环境污染与防治》
CAS
CSCD
北大核心
2020年第1期84-88,共5页
Environmental Pollution & Control
基金
连云港市大气环境科技创新团队基金资助项目
国家重点研发计划项目（No.JFYS2016YFC0203303）
江苏省自然科学基金资助项目（No.BK20160041）
连云港市科技计划项目（No.SH1422、No.SH1634）
关键词
酸雨
PH
电导率
气象条件
轨迹追踪
acid rain
pH
electrolytic conductivity
meteorological condition
trajectory tracking
