Research Article
Assessing Spatiotemporal Characteristics of Urban PM2.5 Using Fractal Dimensions and Wavelet Analysis
Table 2
Boundary dimensions of PM2.5 concentration at each section line from 2014 to 2017 in Beijing.
| Year | Section line | Regression equation | Boundary dimension | Coefficient of determination |
| 2014 | I | lnN = −1.1625lnδ + 5.9243 | 1.1625 | 0.99858 | II | lnN = −1.249lnδ + 6.2777 | 1.249 | 0.99744 | III | lnN = −1.2487lnδ + 6.386 | 1.2487 | 0.99949 | 2015 | I | lnN = −1.0724lnδ + 5.7465 | 1.0724 | 0.99904 | II | lnN = −1.1945lnδ + 5.7843 | 1.1945 | 0.99597 | III | lnN = −1.1552lnδ + 5.8351 | 1.1552 | 0.99972 | 2016 | I | lnN = −1.0892lnδ + 5.6857 | 1.0892 | 0.99862 | II | lnN = −1.1424lnδ + 5.8284 | 1.1424 | 0.99958 | III | lnN = −1.1976lnδ + 5.9991 | 1.1976 | 0.99722 | 2017 | I | lnN = −1.0678lnδ + 5.6544 | 1.0678 | 0.99925 | II | lnN = −1.1343lnδ + 5.8918 | 1.1343 | 0.99492 | III | lnN = −1.1924lnδ + 6.1498 | 1.1924 | 0.99889 |
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