Changes of PM<sub>2.5</sub>/PM<sub>10</sub> Concentration and Its Influencing Factors
PM<sub>2.5</sub>/PM<sub>10</sub>浓度变化规律分析及影响因子
作者: 纪晓建刘颖
作者单位: 1哈密市气象局,新疆 哈密
2哈密伊州区气象局,新疆 哈密
刊名: Climate Change Research Letters, 2018, Vol.07 (01), pp.20-26
中文刊名: 气候变化研究快报, 2018, Vol.07 (01), pp.20-26
来源数据库: Hans Pubs Journal
DOI: 10.12677/CCRL.2018.71003
关键词: PM2.5/PM10
中文关键词: PM2.5/PM10浓度变化影响因子T检验
英文摘要: According to the Hami climate stations 2015 environmental monitoring data and meteorological data of automatic station using M-K mutation detection, linear trend estimation, Pearson (Pear-son) calculated the correlation coefficient and correlation between t test and other methods, and analyzed the concentration changes of PM2.5/PM10 and its influencing factors. The results showed that the trend of PM2.5/PM10 concentration in the middle of January was the most significant, reaching the significant test level of P 2.5 appeared in winter in January; the monthly average concentration was 105.1 ug/m3; the peak value of PM10 concentration appeared in spring in April; and the monthly average concentration was 261.5 ug/m3. Its diurnal variation and high concentration appeared at about 14:00 noon....
中文摘要: 本文根据哈密基准气候站2015年环境监测数据和自动站气象数据,采用M-K突变检测、线性倾向估计、皮尔逊(pearson)相关系数计算及相关性t检验等方法,分析了PM2.5/PM10的浓度变化规律及其影响因子。研究表明,PM2.5/PM10浓度1月中旬上升趋势最为显著,达到了P 2.5浓度峰值出现在冬季1月份,月均浓度值为105.1 ug/m3,PM10浓度峰值出现在春季4月份,月均浓度值为261.5 ug/m3。其日变化特征浓度高值则出现在正午14:00左右。从变化趋势可知,PM2.5/PM10浓度高低和大气能见度、降水量和风速有关。PM浓度高低和能见度好坏、降水量大小呈相反趋势,与风速大小趋势相一致并通过了不同程度的相关性检验。
全文获取路径: PDF下载  汉斯出版社  (合作)
分享到:

×