摘要
利用2018年1月、4月、7月、10月郑州市城区8个监测站点的PM2.5和PM10浓度数据与气象数据,对郑州市城区PM2.5和PM10的时相变化特征及气象要素对其产生的影响进行研究.结果表明:郑州市城区在1月份的PM2.5浓度最高(118.1μg·m-3),污染严重,4月份PM10浓度最高(169.4μg·m-3).通过分析PM2.5和PM10的比值(PM2.5/PM10)发现,PM2.5是郑州市城区主要的大气污染物.PM2.5和PM10与气象要素之间的相关分析表明,PM2.5和PM10与气温和露点温度均呈显著负相关(P<0.01),PM10与降水呈显著负相关(P<0.05),PM2.5与气温之间的相关性(r=-0.441,P<0.01)高于PM10和气温的相关性(r=-0.311,P<0.01).另外,当风速在2~3 m·s-1时,PM10最低;而风速大于4 m·s-1时,颗粒物浓度增加明显,且对于PM10的增加作用更显著.露点温度与颗粒物浓度之间也存在一定关系,当露点温度大于0℃时,颗粒物浓度会随露点温度的增加而降低.2018年郑州市PM2.5与PM10昼夜变化呈双峰型特征;风速与温度的双重作用导致PM2.5浓度先于PM10达到最高值,而空气湿度和露点温度则是造成04:00时颗粒物较低的主要原因.另外,通过多元回归分析发现,各月份昼夜时段颗粒物浓度主要受温度和相对湿度影响;在各时段中,温度与颗粒物浓度关系最为密切,风速次之,湿度最弱,各气象要素对PM2.5浓度的影响较PM10浓度更大.
PM2.5 and PM10 data and meteorological data were collected from 8 monitoring stations in Zhengzhou City in January,April,July and October 2018.The data were used to study the temporal variation characteristics of particulate matter in Zhengzhou and the relationships among PM2.5,PM10 and meteorological factors.The results showed that PM2.5 pollution was serious(118.1μg·m-3)in the urban area of Zhengzhou City(UAZC)in January,and the concentration of PM10 was the highest in April(169.4μg·m-3).PM2.5/PM10 indicated that PM2.5 was the main atmospheric pollutant in the UAZC.Both PM2.5 and PM10 negatively correlated with temperature and dew point temperature(DEP)(P<0.01),while PM10 negatively correlated with precipitation(P<0.05).Greater effect of temperature on PM2.5 was obtained than the effect on PM10 because of the higher correlation coefficient between PM2.5 and temperature.Moreover,PM10 was the minimum under the condition that the wind speed ranged from 2 to 3 m·s-1.However,particulate matters concentration(PMC)increased significantly if the wind speed was larger than 4 m·s-1,and the effects of wind speed on increasing PM10 were more significant than the effects on PM2.5.In addition,PMC decreased with the increase of DEP(>0℃).The results also exhibited that the diurnal variation of PM2.5 and PM10 in UAZC was bimodal during the study period.PM2.5 reached the point of maximum more early than PM10 because of the wind speed and temperature.The air humidity and dew point temperature were both the main reasons for the low PMC at 4 am.PMC in day and night of each month was mainly affected by temperature and relative humidity base on the multiple regression analysis.The temperature was more closely correlated with PMC at different time periods,followed by the wind speed and the humidity showed the weakest correlation with PMC.Meteorological factors affected more greatly on PM2.5 than PM10.
作者
王涛
刘勇
邵田田
WANG Tao;LIU Yong;SHAO Tiantian(Key Research Institute of Yellow River Civilizationand Sustainable Development&Collaborative Innovation Center on Yellow River Civilization Jointly Built by Henan Province and Ministry of Education/College of Environment and Planning,Henan University,Henan Kaifeng475001,China)
出处
《河南大学学报(自然科学版)》
CAS
2020年第4期391-401,共11页
Journal of Henan University:Natural Science
基金
河南省科技发展计划项目(192400410083)
国家自然科学基金资助项目(41701129)
关键词
郑州市城区
PM2.5
PM10
昼夜变化
气象要素
urban area of Zhengzhou City
PM2.5
PM10
day and night changes
meteorological element
作者简介
王涛(1994-),男,河南信阳人,硕士研究生.研究方向:区域生态安全;通信作者:邵田田,E-mail:shaott2010@yeah.net;liuyongsp@126.com