Tabular Survey 2019NO - DZINA
Detailed overview of air pollution values for the measuring programme
| Year: | 2019 |
|---|---|
| Matter: | NO - nitrogen monoxide |
| Locality: | Zinnwald |
| Measuring programme: | DZINA |
| Organization: | LfULG |
| Region: | Sachsen-Dresden |
| District: | Dipoldiswalde |
| Unit: | µg/m3 |
| Measuring method: | chemiluminescence |
| Average daily concentrations in specific units | ||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Day/Month | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | X | Max. | N |
| 1 | 1.9 | 2.4 | 2.7 | 2.2 | 2.2 | 2.7 | 2.7 | 2.0 | 2.4 | 2.8 | 2.1 | 1.9 | 1.9 | 2.0 | 2.0 | 2.0 | 2.0 | 2.1 | 3.7 | 2.5 | 3.5 | 4.8 | 2.9 | 3.4 | 2.3 | 2.2 | 2.3 | 2.2 | 2.1 | 2.8 | 3.3 | 2.5 | 4.8 | 31 |
| 2 | 2.5 | 2.7 | 2.8 | 2.7 | 2.2 | 3.9 | 3.9 | 3.7 | 2.1 | 2.5 | 2.0 | 2.4 | 2.2 | 2.4 | 2.3 | 3.2 | 3.2 | 2.9 | 2.2 | 2.1 | 2.2 | 2.5 | 2.6 | 2.2 | 2.3 | 2.6 | 2.2 | 2.5 | 2.6 | 3.9 | 28 | |||
| 3 | 2.2 | 2.1 | 2.0 | 2.3 | 2.0 | 3.1 | 2.9 | 2.0 | 2.0 | 2.1 | 2.0 | 2.3 | 2.0 | 2.1 | 2.1 | 2.1 | 2.5 | 2.1 | 2.2 | 2.2 | 2.3 | 2.7 | 2.2 | 2.4 | 2.2 | 2.3 | 2.3 | 2.5 | 3.0 | 2.9 | 2.3 | 2.3 | 3.1 | 31 |
| 4 | 2.3 | 3.2 | 2.7 | 2.4 | 2.7 | 2.4 | 2.2 | 2.4 | 2.7 | 2.5 | 2.5 | 2.4 | 2.7 | 2.8 | 2.6 | 2.5 | 2.3 | 2.3 | 2.2 | 2.1 | 2.1 | 2.1 | 2.2 | 2.6 | 2.4 | 2.9 | 2.3 | 2.3 | 2.5 | 2.5 | 2.5 | 3.2 | 30 | |
| 5 | 2.2 | 2.1 | 2.3 | 2.8 | 2.5 | 2.4 | 2.2 | 2.7 | 2.3 | 2.2 | 2.6 | 2.3 | 2.4 | 2.4 | 2.5 | 2.6 | 2.6 | 2.4 | 2.3 | 2.4 | 2.5 | 2.2 | 2.6 | 2.2 | 2.3 | 2.2 | 2.3 | 2.3 | 2.4 | 2.2 | 2.2 | 2.4 | 2.8 | 31 |
| 6 | 2.3 | 2.4 | 2.6 | 2.2 | 1.7 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.1 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.2 | 2.6 | 30 | |
| 7 | 1.0 | 1.0 | 1.0 | 1.1 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.1 | 1.2 | 1.0 | 3.2 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.8 | 2.6 | 1.0 | 1.0 | 1.0 | 1.0 | 1.1 | 1.0 | 1.2 | 3.2 | 31 |
| 8 | 1.0 | 1.0 | 1.0 | 1.0 | 1.6 | 1.0 | 1.2 | 1.0 | 1.0 | 1.0 | 1.0 | 1.4 | 1.0 | 1.1 | 1.1 | 1.0 | 1.0 | 1.0 | 1.1 | 1.5 | 1.0 | 1.3 | 1.0 | 1.0 | 1.0 | 2.4 | 1.1 | 1.1 | 1.1 | 1.6 | 1.0 | 1.1 | 2.4 | 31 |
| 9 | 1.0 | 1.0 | 1.1 | 1.2 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.4 | 1.4 | 1.0 | 1.2 | 1.1 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.1 | 1.0 | 2.0 | 1.8 | 1.6 | 1.4 | 1.2 | 1.0 | 1.0 | 1.1 | 1.2 | 2.0 | 30 | |
| 10 | 1.4 | 1.1 | 1.0 | 1.1 | 1.0 | 1.1 | 1.3 | 1.9 | 1.1 | 1.5 | 1.1 | 1.8 | 1.5 | 1.4 | 1.7 | 1.0 | 1.4 | 1.8 | 1.1 | 1.1 | 2.4 | 1.0 | 1.2 | 1.6 | 1.2 | 1.4 | 1.0 | 1.0 | 1.7 | 1.3 | 2.4 | 29 | ||
| 11 | 1.5 | 1.4 | 1.1 | 1.0 | 1.0 | 1.0 | 1.1 | 1.0 | 1.0 | 1.4 | 3.3 | 1.5 | 1.0 | 1.6 | 1.0 | 1.2 | 1.0 | 1.1 | 1.6 | 1.6 | 1.1 | 1.5 | 1.0 | 1.3 | 1.4 | 4.0 | 1.7 | 1.1 | 1.0 | 1.0 | 1.4 | 4.0 | 30 | |
| 12 | 1.1 | 1.1 | 1.1 | 1.8 | 1.9 | 4.5 | 1.0 | 1.0 | 1.0 | 1.0 | 1.5 | 2.2 | 1.4 | 1.0 | 1.0 | 1.5 | 3.3 | 1.1 | 1.2 | 1.1 | 1.0 | 1.3 | 1.0 | 1.0 | 1.2 | 1.1 | 1.3 | 1.1 | 1.6 | 1.0 | 1.0 | 1.4 | 4.5 | 31 |
