工业安全与环保
工業安全與環保
공업안전여배보
INDUSTRIAL SAFETY AND ENVIRONMENTAL PROTECTION
2014年
11期
71-73
,共3页
李新%贾秋容%于晓菡%章熙锋
李新%賈鞦容%于曉菡%章熙鋒
리신%가추용%우효함%장희봉
PM2 .5%PM10%相关性分析%回归方程式%污染水平
PM2 .5%PM10%相關性分析%迴歸方程式%汙染水平
PM2 .5%PM10%상관성분석%회귀방정식%오염수평
PM2 .5%PM10%correlation analysis%regression equation%pollution level
PM2.5能够透过人体组织,对健康产生重要影响,研究环境空气中PM2.5的污染特征具有实际意义。以遂宁市大气连续采样监测数据为基础,利用SPSS软件对可吸入颗粒物PM10和细颗粒物PM2.5进行相关性分析,建立回归方程并预测2012年PM2.5日均浓度值。结果表明,PM2.5和PM10呈显著相关,回归模型 R2为0.618,标准估计误差为0.023630。PM2.5预测值为60μg/m3,超过国家一级标准限值,且PM2.5污染水平高于PM10,细颗粒物是城市大气污染控制的重要污染物。
PM2.5能夠透過人體組織,對健康產生重要影響,研究環境空氣中PM2.5的汙染特徵具有實際意義。以遂寧市大氣連續採樣鑑測數據為基礎,利用SPSS軟件對可吸入顆粒物PM10和細顆粒物PM2.5進行相關性分析,建立迴歸方程併預測2012年PM2.5日均濃度值。結果錶明,PM2.5和PM10呈顯著相關,迴歸模型 R2為0.618,標準估計誤差為0.023630。PM2.5預測值為60μg/m3,超過國傢一級標準限值,且PM2.5汙染水平高于PM10,細顆粒物是城市大氣汙染控製的重要汙染物。
PM2.5능구투과인체조직,대건강산생중요영향,연구배경공기중PM2.5적오염특정구유실제의의。이수저시대기련속채양감측수거위기출,이용SPSS연건대가흡입과립물PM10화세과립물PM2.5진행상관성분석,건립회귀방정병예측2012년PM2.5일균농도치。결과표명,PM2.5화PM10정현저상관,회귀모형 R2위0.618,표준고계오차위0.023630。PM2.5예측치위60μg/m3,초과국가일급표준한치,차PM2.5오염수평고우PM10,세과립물시성시대기오염공제적중요오염물。
PM2 .5 can penetrate body tissue and seriously endanger health and so it has great actual significance to research the pollution characters of PM2 .5 .Based on continuous air sampling and monitoring data of Suining City of Sichuan Province , SPSS software is applied to conduct correlation analysis on the inhalable particulate matter PM10 and PM2 .5 and the regression equation is established to calculate the daily average value of urban air PM2 .5 in 2012 .The results indicate that PM2 .5 and PM10 shows obvious correlation , R2=0 .618 in equation and standard estimated error is 0 .023 630 .The calculated value of PM2 .5 is 60 μg/m3 in 2012 ,have exceeded the limited value of the national standard grade one and PM2 .5 pollution level is higher than that of PM10 ,so fine particles are the important pollutants in air pollution control .