采集大连市4个大气自动监测点位30 d PM2.5和PM10质量浓度小时值的监测数据,通过对每个点位720个有效数据对的统计分析,研究二者质量浓度的相关性及PM2.5/PM10比值的分布情况,并研究了气象因素对PM2.5与PM10的影响。结果表明,雾使PM2.5...采集大连市4个大气自动监测点位30 d PM2.5和PM10质量浓度小时值的监测数据,通过对每个点位720个有效数据对的统计分析,研究二者质量浓度的相关性及PM2.5/PM10比值的分布情况,并研究了气象因素对PM2.5与PM10的影响。结果表明,雾使PM2.5与PM10浓度都减小,但二者比值也随之降低;强风会使PM10浓度增大,但PM2.5浓度却减小。展开更多
The concentration of air PM10 in six types of green lands in campus of Tsinghua university was measured. The results showed that PM10 concentration exhibited obvious daily and monthly variation,and also had remarkable...The concentration of air PM10 in six types of green lands in campus of Tsinghua university was measured. The results showed that PM10 concentration exhibited obvious daily and monthly variation,and also had remarkable difference among different seasons. However there was no remarkable difference in concentration of PM10 within the same season over all types of green lands. As for average concentration,the value was lower in arbor land of spring,autumn and winter,and in lawn of summer. The concentration of PM10 was 43% higher in cloudy days than that of sunny ones. Moreover,the difference increased to 137% between cloudy day after raining and sunny day after raining because of the clarification of rain.展开更多
为了研究总体理查逊数对可吸入颗粒物PM10(particulate matter with aero-dynamic diameter smaller than 10μm)质量浓度的影响,对2007年11月北京南郊观象台的PM10质量浓度资料、地面气象自动站资料和常规无线电探空资料进行了分析。...为了研究总体理查逊数对可吸入颗粒物PM10(particulate matter with aero-dynamic diameter smaller than 10μm)质量浓度的影响,对2007年11月北京南郊观象台的PM10质量浓度资料、地面气象自动站资料和常规无线电探空资料进行了分析。统计分析软件采用SPSS 15.0(Statistical Package for Social Sciences 15.0)。分析结果表明,在北京地区以稳定层结为主的条件下,PM10质量浓度与地面气象要素和总体理查逊数存在很好的规律性。PM10质量浓度与风速和相对湿度显著相关,相关系数分别为原0.65和0.69,通过α=0.01显著性检验;PM10质量浓度与地面至450m层的总体理查逊数存在显著的对数形式非线性关系,决定系数R2=0.42。非线性回归方程的独立样本预测检验显示回归模型可以用于根据无线电探空资料对PM10质量浓度进行预测。展开更多
文摘采集大连市4个大气自动监测点位30 d PM2.5和PM10质量浓度小时值的监测数据,通过对每个点位720个有效数据对的统计分析,研究二者质量浓度的相关性及PM2.5/PM10比值的分布情况,并研究了气象因素对PM2.5与PM10的影响。结果表明,雾使PM2.5与PM10浓度都减小,但二者比值也随之降低;强风会使PM10浓度增大,但PM2.5浓度却减小。
文摘The concentration of air PM10 in six types of green lands in campus of Tsinghua university was measured. The results showed that PM10 concentration exhibited obvious daily and monthly variation,and also had remarkable difference among different seasons. However there was no remarkable difference in concentration of PM10 within the same season over all types of green lands. As for average concentration,the value was lower in arbor land of spring,autumn and winter,and in lawn of summer. The concentration of PM10 was 43% higher in cloudy days than that of sunny ones. Moreover,the difference increased to 137% between cloudy day after raining and sunny day after raining because of the clarification of rain.
文摘为了研究总体理查逊数对可吸入颗粒物PM10(particulate matter with aero-dynamic diameter smaller than 10μm)质量浓度的影响,对2007年11月北京南郊观象台的PM10质量浓度资料、地面气象自动站资料和常规无线电探空资料进行了分析。统计分析软件采用SPSS 15.0(Statistical Package for Social Sciences 15.0)。分析结果表明,在北京地区以稳定层结为主的条件下,PM10质量浓度与地面气象要素和总体理查逊数存在很好的规律性。PM10质量浓度与风速和相对湿度显著相关,相关系数分别为原0.65和0.69,通过α=0.01显著性检验;PM10质量浓度与地面至450m层的总体理查逊数存在显著的对数形式非线性关系,决定系数R2=0.42。非线性回归方程的独立样本预测检验显示回归模型可以用于根据无线电探空资料对PM10质量浓度进行预测。
