首页 | 本学科首页   官方微博 | 高级检索  
     检索      

南京大气能见度变化规律及影响因子分析
引用本文:侯灵,安俊琳,朱彬.南京大气能见度变化规律及影响因子分析[J].大气科学学报,2014,37(1):91-98.
作者姓名:侯灵  安俊琳  朱彬
作者单位:广东省气象信息中心;南京信息工程大学气象灾害预报预警与评估协同创新中心;
基金项目:国家自然科学基金资助项目(41305135;41275143);中国科学院战略先导科技专项(B类)子课题(XDB05020206)
摘    要:利用累积百分率法、Ridit中值分析法、"非常好"能见度出现频率法以及平均能见度年际和季节变化法,对1980—2005年南京大气能见度年际变化趋势进行分析,发现1980—1984年能见度呈上升趋势,1985年以后则在波动中呈明显下降趋势。26 a中,日均大气能见度最小值为0.55 km,最大值为29.25 km,平均值为8.59 km。大气能见度具有明显的日变化和季节变化特征,一日之中,14时最好,08时最差;一年之中,冬季能见度最低,夏季最高。能见度与相对湿度呈负相关,与风速呈正相关,与温度和气压的相关性相对较小。PM10是影响南京地区大气能见度的首要污染物,通过对能见度与PM10平均质量浓度进行曲线拟合发现,二者呈负相关,复相关系数在秋季最高,夏季最低。由统计预报方程可知,空气污染和气象条件协同作用对能见度的影响在春季、秋季、冬季较为明显,夏季则相对较差。

关 键 词:能见度趋势  气象要素  大气污染物  相关系数
收稿时间:2011/6/10 0:00:00
修稿时间:2011/12/11 0:00:00

Characterization of visibility variation trend and its influence factors in Nanjing
HOU Ling,AN Jun-lin and ZHU Bin.Characterization of visibility variation trend and its influence factors in Nanjing[J].大气科学学报,2014,37(1):91-98.
Authors:HOU Ling  AN Jun-lin and ZHU Bin
Institution:Guangdong Meteorology Information Center, Guangzhou 510080, China;Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, NUIST, Nanjing 210044, China;Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, NUIST, Nanjing 210044, China
Abstract:Visibility variation trends from 1980 to 2005 have been constructed using four different statistical methods:Ridit analysis,cumulative percentiles,frequency of "very good" visibility,and annual and seasonal means.Improvements in visibility were experienced from 1980 to 1984.A decline trend can be observed after 1985 with some fluctuations in the process.In these 26 years,the mean daily visibility was 8.59 km with the maximum at 29.25 km and the minimum at 0.55 km,respectively.There were obvious seasonal and daily variation features in visibility.It was worst in winter and best in summer in one year while it was worst at 08:00 BST and best at 14:00 BST in one day.Visibility showed a positive correlation with wind speed and a negative correlation with relative humidity.However,temperature and atmospheric pressure showed comparatively little correlation with it.PM10 was the major pollutant in Nanjing.Curve estimation of daily mean PM10 mass concentration and the visibility presented a negative correlation and the coefficient was the largest in autumn and the smallest in summer.A regression model based on relative humidity,PM10,wind speed and temperature has been developed.There were seasonal differences in the coactions of air pollution and meteorological condition on visibility,which was worse in summer than that in the other three seasons.
Keywords:visibility trends  meteorological elements  air pollutant  correlation coefficient
本文献已被 CNKI 等数据库收录!
点击此处可从《大气科学学报》浏览原始摘要信息
点击此处可从《大气科学学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号