首页 | 本学科首页   官方微博 | 高级检索  
     

兰州市逆温时空分布特征及其与API首要污染指数的关系
引用本文:王骥,杨银,张生财. 兰州市逆温时空分布特征及其与API首要污染指数的关系[J]. 安徽农业科学, 2017, 45(5). DOI: 10.3969/j.issn.0517-6611.2017.05.066
作者姓名:王骥  杨银  张生财
作者单位:甘肃省兰州市气象局,甘肃兰州,730000;甘肃省兰州市气象局,甘肃兰州,730000;甘肃省兰州市气象局,甘肃兰州,730000
基金项目:兰州市气象局科研课题“兰州城区臭氧特征分析和紫外线辐射强度分析及预报”
摘    要:利用兰州市榆中县气象局探空资料,统计分析了2006—2013年兰州市逆温时空分布特征及其与API首要污染指数的关系。结果表明,07:00贴地逆温直接影响兰州市区API首要污染指数,冬季逆温最强,秋季次之,夏季最弱,10月—次年1月较集中,持续10 d以上的逆温发生在11月—次年2月;当逆温≤3℃时对空气质量的负贡献明显增加,当逆温厚度为700~900 m时污染日概率高于清洁日概率;逆温持续时间为2.0~5.0 d时平均API首要污染指数、污染日概率分别为93、26%,5.1~15.0 d时分别增加至107、39%,超过15.0 d时平均API首要污染指数显著升高至141,污染日概率快速增加为68%。

关 键 词:逆温  时空分布特征  API首要污染指数

The Spatial and Temporal Distribution Characteristics of Inversion and Their Relations with API Primary Pollution Index in Lanzhou City
WANG Ji,YANG Yin,ZHANG Sheng-cai. The Spatial and Temporal Distribution Characteristics of Inversion and Their Relations with API Primary Pollution Index in Lanzhou City[J]. Journal of Anhui Agricultural Sciences, 2017, 45(5). DOI: 10.3969/j.issn.0517-6611.2017.05.066
Authors:WANG Ji  YANG Yin  ZHANG Sheng-cai
Abstract:Based on the sounding data from Yuzhong weather station,the change features of inversion and their relations with API primary air pollution index in Lanzhou City was analyzed during the period of 2006-2013.The results showed that the ground inversion at 07:00 had the most significant impact on API primary air pollution index,the ground inversion was most serious in winter,followed by autumn and summer was most weak,from October to January of following year relatively concentrated,the ground inversion duration of more than ten days main occurred in November to February of following year.When the inversion temperature was less than or equal to 3 ℃ would bring the negative contribution to the air quality increased significantly,more than 700 m and less than 900 m the probability of pollution days was higher than the cleanup days.The average of API primary pollution index was 93 when the inversion duration of 2.0 to 5.0 days,at the same time,the probability of pollution days was 26%,for 5.1 to 15.0 days was 107 and 39%,and more than 15.0 days was 141 and 68%.
Keywords:Inversion  Spatial and temporal distribution characteristics  API primary pollution index
本文献已被 CNKI 万方数据 等数据库收录!
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