我国雾霾天气气候特征及影响因素分析

发布时间：2018-04-21 22:14

本文选题：雾霾 + PM.　；参考：《江苏农业科学》2016年12期

【摘要】：根据2013年我国部分城市夏季、秋季、冬季的细颗粒物(PM2.5)质量浓度数据,基于半变异函数理论,利用克里格插值方法对雾霾天气各类主要大气污染物进行空间特征分析,分析夏季、秋季、冬季PM2.5空气质量分指数。结果表明,6—12月,大气中的PM2.5质量分指数与能见度呈明显负相关关系,PM2.5空间浓度分布均值差异明显,我国大范围雾霾天气期间,大部分城市PM2.5浓度均严重超标。由结果可知,治理雾霾不能单纯从一方面进行治理,要采取综合治理措施。
[Abstract]:Based on the mass concentration data of PM2.5 in summer, autumn and winter in some cities of China in 2013, based on the theory of semi-variogram, the Kriging interpolation method was used to analyze the spatial characteristics of major atmospheric pollutants in haze weather. The PM2.5 air quality index in summer, autumn and winter was analyzed. The results show that there is a significant negative correlation between the PM2.5 mass fraction index and visibility in the atmosphere in June to December. There is a significant difference in the mean distribution of PM2.5 spatial concentration. During the haze weather in a large area of China, the PM2.5 concentration in most cities is seriously over the standard. From the results, we can see that the management of haze can not be simply from one hand, we should take comprehensive management measures.
【作者单位】：吉林师范大学旅游与地理科学学院;中国科学院东北地理与农业生态研究所;
【基金】：国家自然科学基金(编号:40771020) 中国科学院重点部署项目(编号:KZZD-EW-08-02) 吉林省科技发展计划(编号:20150204047SF;201215224;201201080) 吉林省高校科技与“十二五”科研规划(编号:吉教科合字[2015]第222号)
【分类号】：X513

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