Data of ρ(PM_2.5), which were obtained from a statecontrolled monitoring station of Zhuhai, were used to analyze the main components of PM_2.5 including organic carbon (OC), elemental carbon (EC) and water soluble ions. The spatial temporal variation characteristics of ρ(PM_2.5) and the relationship with meteorological factors were analyzed as well. The annual concentration of PM_2.5 in 2015 were 31.0 μg/m³, it showed prominent temporal variation, and the variation of monthly averaged values showed single “V” pattern. The PM_2.5 pollution days were mainly concentrated in fall and winter. Organic matter (OM) was the main chemical composition of PM_2.5, which accounted for 34.0%, followed by SO^2-₄, which accounted for 26.9%. They showed significant characteristic of seasonal variation, their concentration in winter were higher than that in summer. The daily variation of PM_2.5 concentration showed a bimodal distribution. The values in workdays were much larger than that in nonworkdays. Negative correlation were found among ρ（PM_2.5） and daily average temperature, wind speed and relative humidity, while positive correlation were observed between ρ（PM_2.5） and the air pressure. The distribution ofρ（PM_2.5） were derived by IDW method, which depicted from the figure that the degree of pollution decreased from the west to the east and the south to the north of Zhuhai. The spatial distribution of OM, SO^2-₄ and NH⁺₄ presented a descending order from the east to the west, Particle concentration was affected by topography and climate factors and marine environment, therefor it presented diversified distribution.