摘要
利用空气质量监测数据和气象观测数据，采用统计分析方法，对武汉市2015年PM2．5变化特征及其与降水、气温、风速、气压和相对湿度的关系进行分析。结果表明，PM2．5浓度变化趋势呈U型，1～12月的浓度变化是逐渐先减小后增大；1～3、10～12月的浓度大于4～9月的浓度，其中1月浓度最大，7月浓度最小，冬季各个月份的浓度普遍比夏季高。 PM2．5浓度与月平均气温、月降水量呈现负相关关系，与月平均气压呈现正相关关系，最大风速和平均相对湿度对于PM2．5浓度的影响存在双重性。
Abstract
By using the air quality monitoring data and meteorological observation data, statistical analysis technique was used to analyze the relationship between PM2.5 change characteristics and the precipitation, air temperature, wind speed, relative humidity and atmospheric pres-sure in 2015 in Wuhan City.Results showed that change trend of PM2.5 concentration showed the shape of U.From January to December it gradually decreased and then increased.The concentrations of PM2.5 from January to March, and from October to December were greater than that from April to September.Among them, concentration in January was the highest;that in July was the least.Concentration of each month in winter was generally higher than those in summer.PM2.5 concentration was negatively correlated with monthly average temperature and monthly precipitation.It was positively correlated with average monthly atmospheric pressure.The maximum wind speed and relative humidity had duality impact on the concentration of PM2.5 .
国家科技期刊平台
NSTL
维普
万方数据