引用本文:赵新锋,钟欣,胡嘉骢等.珠海市PM2.5时空分布特征及其成因分析[J].环境监控与预警,2017,9(6):53-58
ZHAO Xin feng, ZHONG Xin, HU Jia cong etc..Spatial Temporal Variation Characteristics and Reason Analysis of PM2.5 Concentration in Zhuhai[J].Environmental Monitoring and Forewarning,2017,9(6):53-58
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珠海市PM2.5时空分布特征及其成因分析
赵新锋,钟欣,胡嘉骢等
珠海市环境保护监测站,北京师范大学珠海分校不动产学院 广东 珠海 519000,519087
摘要:
选取2015年珠海市国控监测站ρ(PM2.5)数据,分析PM2.5中有机碳(OC)、元素碳(EC)、水溶性离子组分等化学组成,ρ(PM2.5)时空分布特征,以及与气象因素的相互关系。结果表明,2015年珠海市PM2.5年均值为31.0 μg/m3,表现出显著的时间分布规律,月均值呈现“V”型趋势,PM2.5中主要化学组分是有机物(OM),占总质量的34.0%,其次是硫酸根(SO2-4),占总质量的26.9%,具有明显的季节分布特征,呈现冬高夏低分布;ρ(PM2.5)日变化呈现双峰型分布,其值工作日显著高于非工作日;ρ(PM2.5)与平均温度、相对湿度、风速呈现负相关关系,与气压呈现显著正相关关系;珠海市ρ(PM2.5)空间分布总体呈现“东高西低,北重南轻”变化趋势,有机物、SO2-4和NH+4空间分布呈现东部高于西部趋势,颗粒物浓度受地形、气候因素和海域环境等影响呈现多样化分布趋势。
关键词:  可入肺颗粒物  时空分布  化学组成  珠海
DOI:
分类号:X513
文献标识码:B
基金项目:
Spatial Temporal Variation Characteristics and Reason Analysis of PM2.5 Concentration in Zhuhai
ZHAO Xinfeng, ZHONG Xin, HU Jiacong etc.
Zhuhai Environmental Protection Monitoring Station, College of Real Estate, Beijing Normal University, ZhuhaiZhuhai,Guangdong 519000, 519087
Abstract:
Data of ρ(PM2.5), which were obtained from a state controlled monitoring station of Zhuhai, were used to analyze the main components of PM2.5 including organic carbon (OC), elemental carbon (EC) and water soluble ions. The spatial temporal variation characteristics of ρ(PM2.5) and the relationship with meteorological factors were analyzed as well. The annual concentration of PM2.5 in 2015 were 31.0 μg/m3, it showed prominent temporal variation, and the variation of monthly averaged values showed single “V” pattern. The PM2.5 pollution days were mainly concentrated in fall and winter. Organic matter (OM) was the main chemical composition of PM2.5, which accounted for 34.0%, followed by SO2-4, 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 PM2.5 concentration showed a bimodal distribution. The values in workdays were much larger than that in non workdays. Negative correlation were found among ρ(PM2.5) and daily average temperature, wind speed and relative humidity, while positive correlation were observed between ρ(PM2.5) and the air pressure. The distribution ofρ(PM2.5) 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, SO2-4 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.
Key words:  PM2.5  Spatial temporal distribution  Chemical composition  Zhuhai