The Relationships between PM2.5 and Meteorological Factors in China: Seasonal and Regional Variations

被引：166

作者：

Yang, Qianqian ^{[1
]}

Yuan, Qiangqiang ^{[1
,2
]}

Li, Tongwen ^{[3
]}

Shen, Huanfeng ^{[2
,3
]}

Zhang, Liangpei ^{[2
,4
]}

机构：

[1] Wuhan Univ, Sch Geodesy & Geomat, Wuhan 430079, Hubei, Peoples R China

[2] Wuhan Univ, Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Hubei, Peoples R China

[3] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China

[4] Wuhan Univ, State Key Lab Informat Engn Survey Mapping & Remo, Wuhan 430079, Hubei, Peoples R China

来源：

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH | 2017年 / 14卷 / 12期

基金：

国家重点研发计划;

关键词：

PM2.5; meteorological factors; correlation analysis; spatial heterogeneity; seasonal variability; GROUND-LEVEL PM2.5; PARTICULATE MATTER PM2.5; CRITERIA AIR-POLLUTANTS; BEIJING-TIANJIN-HEBEI; CHEMICAL-COMPOSITIONS; SATELLITE; WEATHER; ASSOCIATION; POLLUTION; CLIMATE;

D O I：

10.3390/ijerph14121510

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

The interactions between PM2.5 and meteorological factors play a crucial role in air pollution analysis. However, previous studies that have researched the relationships between PM2.5 concentration andmeteorological conditions have beenmainly confined to a certain city or district, and the correlation over the whole of China remains unclear. Whether spatial and seasonal variations exist deserves further research. In this study, the relationships between PM2.5 concentration and meteorological factors were investigated in 68 major cities in China for a continuous period of 22 months from February 2013 to November 2014, at season, year, city, and regional scales, and the spatial and seasonal variations were analyzed. The meteorological factors were relative humidity (RH), temperature (TEM), wind speed (WS), and surface pressure (PS). We found that spatial and seasonal variations of their relationships with PM2.5 exist. Spatially, RH is positively correlated with PM2.5 concentration in north China and Urumqi, but the relationship turns to negative in other areas of China. WS is negatively correlated with PM2.5 everywhere except for Hainan Island. PS has a strong positive relationship with PM2.5 concentration in northeast China and mid-south China, and in other areas the correlation is weak. Seasonally, the positive correlation between PM2.5 concentration and RH is stronger in winter and spring. TEM has a negative relationship with PM2.5 in autumn and the opposite in winter. PS is more positively correlated with PM2.5 in autumn than in other seasons. Our study investigated the relationships between PM2.5 and meteorological factors in terms of spatial and seasonal variations, and the conclusions about the relationships between PM2.5 and meteorological factors are more comprehensive and precise than before. We suggest that the variations could be considered in PM2.5 concentration prediction and haze control to improve the prediction accuracy and policy efficiency.

引用

页数：19