山东省大气环境污染时空特征及其原因分析

发布时间：2018-03-17 14:03

本文选题：大气环境污染　切入点：时空特征　出处：《科技导报》2016年22期 　论文类型：期刊论文

【摘要】：利用大气例行监测数据,分析了2014年山东省大气污染进行时空特征。从空间看,淄博、济南、枣庄等是山东省大气污染最严重的城市,日照、青岛、威海等城市的污染最轻,东部沿海城市的污染程度明显轻于内陆城市;各地市SO_2的达标情况较好,超过50%,其余污染物的达标率均较低,PM_(2.5)甚至出现各地市均超标的现象。从时间看,污染物冬季浓度高夏季浓度低;PM_(10)和NO_2浓度在3月有小高峰;8月份,SO2、NO_2浓度略有升高;从全年来看,NO_2污染物排放浓度变化不大。通过灰色关联法分析可知,能源消费与污染物空间分布相关性最大,风速与污染物时间分布相关性最大。
[Abstract]:Based on the atmospheric routine monitoring data, the space-time characteristics of air pollution in Shandong Province in 2014 were analyzed. From a spatial point of view, Zibo, Jinan and Zaozhuang are the cities with the most serious air pollution in Shandong Province, such as Rizhao, Qingdao, Weihai and other cities. The pollution degree of eastern coastal cities is obviously lighter than that of inland cities, and the SO_2 standard of each prefecture is better than 50, and the rate of reaching the standard of the other pollutants is lower than 2.5) even the phenomenon that all prefectures and cities exceed the standard. From the point of view of time, There was a slight increase in the concentration of so _ 2O _ 2O _ 2 in March and the concentration of NO_2 increased slightly in August, and the concentration of pollutants in the whole year did not change much. The results of grey correlation analysis showed that there was no significant change in the concentration of pollutants in the whole year. Energy consumption has the greatest correlation with the spatial distribution of pollutants, and wind speed has the greatest correlation with the time distribution of pollutants.
【作者单位】：山东师范大学地理与环境学院;山东城市建设职业学院;中国环境科学研究院;
【基金】：国家自然科学基金面上项目(41371537) 山东省科技计划项目(2013GSF11706)
【分类号】：X51

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