The Elementary Explore of Multiple Regression Techniques about the Fiberglass Filter Papers Influence on the PM2.5 Assaying
The thesis had a deep research about the fiberglass filter papers influence on the PM2.5 assaying. It has chosen XRF to make a quantitative analysis. Based on multiple regression theory it regard fiberglass filter papers quality, element content and the quality of the loaded sample as independent variable, while the elements quality that the sample has collected as dependent variable. Furthermore, it has established four multiple quadric response surface models by using of Mathematic and Matlab: Y=0.8649-2.094x1-2.08x2-1.375x3-10.58x1x2+8.53x1x3+1.549x2x3-3.443x12+6.25x22+6.547x32;Y=0.8649-2.094x1-2.08x2-1.375x3; Y=0.8649-2.094x1-2.08x2-1.375x3-3.443x12+6.525x22+6.547x32; Y=0.8649-2.094x1-2.08x2-1.375x3-10.58x1x2+8.53x1x3+1.549x2x3.After comparison it has finally found the best model. In combining with the sample it present a multiple data fitting analysis method which could adjust the fiberglass filter paper model accordingly.
PM2.5 Fiberglass filter paper XRF analysis Multiple regression Quadric response surface model
Yunfeng MA Dun NIU Xiaomin HU Deping ZHOU
Utilization of Mineral Resource and Environmental Protection, Northeastern University, Shenyang 1100 Utilization of Mineral Resource and Environmental Protection, Northeastern University, Shenyang 1100 Utilization of Mineral Resource and Environmental Protection, Northeastern University, Shenyang 1100 NEU College of Sciences, Northeastern University, Shenyang 110004;Institute of Atmospheric Environme
国际会议
天津
英文
249-254
2007-07-17（万方平台首次上网日期，不代表论文的发表时间）