霾天气下我国6城市PM_(2.5)污染水平相关性及影响因素分析  

Correlation Analysis and Evaluation of Influencing Factors for PM_(2.5) Pollution During Haze Days of Six Cities in China

作　　者：杨磊[1] 楚明浩 杜晓轩[1] 

机构地区：[1]中原工学院,郑州450007

出　　处：《中原工学院学报》2016年第4期1-6,共6页Journal of Zhongyuan University of Technology

基　　金：国家自然科学基金项目(81450022);河南省高等学校供热空调重点学科开放实验室开放课题(2016HAC202)

摘　　要：我国城市PM_(2.5)污染存在空间分布差异,在霾天气下,需对其空间分布关系作进一步研究。本文对2015年冬季我国6个城市PM_(2.5)污染数据进行Pearson相关性分析,并探讨主要影响因素。结果表明:入冬后由于大面积采暖,北方城市的PM_(2.5)污染明显高于南方;季风气候对各地PM_(2.5)污染有影响;建筑施工面积与PM_(2.5)污染有明显的相关性;经济结构与各城市PM_(2.5)污染的相关性不明显。Spatial differences of PM2.s pollution of the cities in China are apparent and remain unknown in haze days. This paper is concerned with Pearson correlation analysis of PM2.5 pollution in winter of 2015 between six cities in China. Influencing factors for those correlation results are also discussed. The results show that PM2.5 pollution of northern cities are apparently worse than southern cities because of high heating load in winter. Monsoon weather and construction area might be influence factors for PM2.5 pollution of the cities in China. However, economic structure has no obvious effect on PM2.5 pollution of those cities.

关 键 词：PM2.5 霾 相关性 影响因素 

分 类 号：X513[环境科学与工程—环境工程]