Air Pollution in Hauts-de-Seine: Real-time Air Quality Index and smog alert.
Pollution and air quality forecast for Hauts-de-Seine. Today is Saturday, May 4, 2024. The following air pollution values have been recorded for Hauts-de-Seine:- particulate matter (PM2.5) dust - 10 (Good)
- particulate matter (PM10) suspended dust - 13 (Good)
- nitrogen dioxide (NO2) - 38 (Good)
- ozone (O3) - 2 (Good)
What is the air quality in Hauts-de-Seine today? Is the air polluted in Hauts-de-Seine?. Is there smog?
What is the current level of PM2.5 in Hauts-de-Seine? (particulate matter (PM2.5) dust)
Today's PM2.5 level is:
10 (Good)
For comparison, the highest level of PM2.5 in Hauts-de-Seine in the last 7 days was: 32 (Thursday, January 11, 2024) and the lowest: 15 (Monday, January 15, 2024).
The highest PM2.5 values were recorded: 24 (February 2019).
The lowest level of particulate matter PM2.5 pollution occurs in month: March (6.3).
What is the level of PM10 today in Hauts-de-Seine? (particulate matter (PM10) suspended dust)
The current level of particulate matter PM10 in Hauts-de-Seine is:
13 (Good)
The highest PM10 values usually occur in month: 34 (February 2019).
The lowest value of particulate matter PM10 pollution in Hauts-de-Seine is usually recorded in: November (13).
How high is the level of NO2? (nitrogen dioxide (NO2))
38 (Good)
How is the O3 level today in Hauts-de-Seine? (ozone (O3))
2 (Good)
Current data Saturday, December 30, 2023, 7:00 AM
29 (Good)
PM2,5 10 (Good)
PM10 13 (Good)
NO2 38 (Good)
O3 2 (Good)
Data on air pollution from recent days in Hauts-de-Seine
index
2024-01-10
2024-01-11
2024-01-12
2024-01-13
2024-01-14
2024-01-15
2024-01-16
2024-01-17
2023-12-23
2023-12-24
2023-12-25
2023-12-26
2023-12-27
2023-12-28
2023-12-29
2023-12-30
no
12
Good
15
Good
5
Good
12
Good
7
Good
12
Good
67
Good
14
Good
1
Good
1
Good
1
Good
1
Good
2
Good
1
Good
1
Good
1
Good
no2
36
Good
42
Moderate
30
Good
40
Moderate
38
Good
36
Good
64
Moderate
38
Good
6
Good
4
Good
3
Good
8
Good
10
Good
7
Good
6
Good
7
Good
pm10
31
Moderate
41
Moderate
25
Moderate
25
Moderate
36
Moderate
25
Moderate
54
Unhealthy for Sensitive Groups
19
Good
8
Good
13
Good
11
Good
12
Good
12
Good
10
Good
11
Good
10
Good
pm25
25
Moderate
32
Moderate
20
Moderate
22
Moderate
31
Moderate
15
Moderate
29
Moderate
16
Moderate
-
Good
-
Good
-
Good
-
Good
-
Good
-
Good
-
Good
-
Good
o3
11
Good
9
Good
33
Good
15
Good
17
Good
29
Good
16
Good
13
Good
-
Good
-
Good
-
Good
-
Good
-
Good
-
Good
-
Good
-
Good
data source »
Air pollution in Hauts-de-Seine from September 2017 to May 2020
index
2020-05
2020-04
2020-03
2020-02
2020-01
2019-12
2019-11
2019-10
2019-09
2019-08
2019-07
2019-06
2019-05
2019-04
2019-03
2019-02
2019-01
2018-12
2018-11
2018-10
2018-09
2018-08
2018-07
2018-06
2018-05
2018-04
2018-03
2018-02
2018-01
2017-12
2017-11
2017-10
2017-09
pm10
18 (Good)
21 (Moderate)
19 (Good)
15 (Good)
21 (Moderate)
18 (Good)
13 (Good)
15 (Good)
17 (Good)
16 (Good)
21 (Moderate)
18 (Good)
16 (Good)
21 (Moderate)
20 (Moderate)
34 (Moderate)
21 (Moderate)
17 (Good)
21 (Moderate)
23 (Moderate)
23 (Moderate)
19 (Good)
25 (Moderate)
23 (Moderate)
24 (Moderate)
19 (Good)
18 (Good)
22 (Moderate)
14 (Good)
16 (Good)
20 (Good)
18 (Good)
23 (Moderate)
no2
18 (Good)
20 (Good)
23 (Good)
22 (Good)
35 (Good)
34 (Good)
32 (Good)
26 (Good)
22 (Good)
21 (Good)
23 (Good)
23 (Good)
25 (Good)
33 (Good)
30 (Good)
55 (Moderate)
35 (Good)
31 (Good)
37 (Good)
39 (Good)
33 (Good)
20 (Good)
24 (Good)
23 (Good)
26 (Good)
33 (Good)
37 (Good)
38 (Good)
29 (Good)
33 (Good)
40 (Good)
32 (Good)
52 (Moderate)
so2
0.72 (Good)
1.1 (Good)
0.86 (Good)
0.4 (Good)
0.85 (Good)
0.59 (Good)
0.73 (Good)
0.81 (Good)
1.1 (Good)
0.83 (Good)
1.1 (Good)
0.68 (Good)
1.4 (Good)
1.8 (Good)
1.6 (Good)
2.3 (Good)
2 (Good)
1.3 (Good)
1.9 (Good)
1.6 (Good)
1.1 (Good)
0.8 (Good)
0.76 (Good)
0.89 (Good)
1.2 (Good)
1.5 (Good)
1.5 (Good)
2.3 (Good)
1.4 (Good)
1.1 (Good)
1.8 (Good)
1.2 (Good)
1.5 (Good)
o3
67 (Good)
70 (Good)
51 (Good)
45 (Good)
26 (Good)
26 (Good)
25 (Good)
29 (Good)
43 (Good)
52 (Good)
65 (Good)
62 (Good)
58 (Good)
57 (Good)
52 (Good)
18 (Good)
27 (Good)
26 (Good)
14 (Good)
27 (Good)
41 (Good)
57 (Good)
83 (Moderate)
59 (Good)
68 (Good)
52 (Good)
40 (Good)
25 (Good)
30 (Good)
25 (Good)
20 (Good)
23 (Good)
19 (Good)
pm25
- (Good)
- (Good)
6.3 (Good)
6.5 (Good)
15 (Moderate)
11 (Good)
7.6 (Good)
6.8 (Good)
6.9 (Good)
8.4 (Good)
10 (Good)
9.7 (Good)
12 (Good)
16 (Moderate)
14 (Moderate)
24 (Moderate)
15 (Moderate)
12 (Good)
17 (Moderate)
14 (Moderate)
11 (Good)
9.2 (Good)
11 (Good)
16 (Moderate)
14 (Moderate)
11 (Good)
12 (Good)
17 (Moderate)
9.9 (Good)
11 (Good)
14 (Moderate)
11 (Good)
16 (Moderate)
data source »
FR04002
Wednesday, January 17, 2024, 9:00 AM
16 (Good)
index_name_no
PM2,5 10 (Good)
particulate matter (PM2.5) dust
PM10 11 (Good)
particulate matter (PM10) suspended dust
NO2 42 (Moderate)
nitrogen dioxide (NO2)
NEUILLY-SUR-SEINE
Wednesday, January 17, 2024, 9:00 AM
55 (Good)
index_name_no
NO2 51 (Moderate)
nitrogen dioxide (NO2)
O3 2.4 (Good)
ozone (O3)
FR04150
Wednesday, January 17, 2024, 9:00 AM
42 (Good)
index_name_no
NO2 49 (Moderate)
nitrogen dioxide (NO2)
PM2,5 11 (Good)
particulate matter (PM2.5) dust
PARIS Stade Lenglen
Saturday, December 30, 2023, 7:00 AM
1.4 (Good)
index_name_no
NO2 10 (Good)
nitrogen dioxide (NO2)
PM10 14 (Good)
particulate matter (PM10) suspended dust
FR04002
index
2024-01-17
2024-01-16
2024-01-15
2024-01-14
2024-01-13
2024-01-12
2024-01-11
2024-01-10
no
8.5
110
21
8.1
13
3.5
14
9.9
no2
37
69
41
39
37
28
39
32
pm10
19
54
25
36
25
25
41
31
pm25
17
38
18
35
23
22
33
26
NEUILLY-SUR-SEINE
index
2024-01-17
2024-01-16
2024-01-15
2024-01-14
2024-01-13
2024-01-12
2024-01-11
2024-01-10
o3
13
16
29
17
15
33
9.4
11
no
20
54
10
8.8
11
4.4
17
13
no2
40
66
38
40
43
33
46
39
FR04150
index
2024-01-17
2024-01-16
2024-01-15
2024-01-14
2024-01-13
2024-01-12
2024-01-11
2024-01-10
no2
38
57
30
35
40
29
41
38
no
14
38
3.5
5.3
11
6
15
14
pm25
16
20
11
28
21
19
30
24
PARIS Stade Lenglen
index
2023-12-30
2023-12-29
2023-12-28
2023-12-27
2023-12-26
2023-12-25
2023-12-24
2023-12-23
pm10
10
11
10
12
12
11
13
7.8
no
1.3
1.3
1.5
1.7
1.4
1.1
1.1
1.2
no2
7.3
5.5
6.8
9.7
8.5
2.9
3.6
6.2
FR04002
2017-09 2020-05
index
2020-05
2020-04
2020-03
2020-02
2020-01
2019-12
2019-11
2019-10
2019-09
2019-08
2019-07
2019-06
2019-05
2019-04
2019-03
2019-02
2019-01
2018-12
2018-11
2018-10
2018-09
2018-08
2018-07
2018-06
2018-05
2018-04
2018-03
2018-02
2018-01
2017-12
2017-11
2017-10
2017-09
pm25
-
-
6.3
6.5
15
11
7.6
6.8
6.9
8.4
10
9.7
12
16
14
24
15
12
17
14
11
9.2
11
16
14
11
12
17
9.9
11
14
11
16
pm10
17
22
20
16
22
19
15
14
16
17
21
18
18
24
21
36
23
17
22
25
22
18
22
23
23
20
18
22
13
15
21
19
26
no2
19
21
23
21
33
34
32
25
22
22
22
22
24
33
27
54
34
32
37
38
32
18
21
20
24
34
36
38
28
33
42
33
58
FR04017
index
2020-05
2020-04
2020-03
2020-02
2020-01
2019-12
2019-11
2019-10
2019-09
2019-08
2019-07
2019-06
2019-05
2019-04
2019-03
2019-02
2019-01
2018-12
2018-11
2018-10
2018-09
2018-08
2018-07
2018-06
2018-05
2018-04
2018-03
2018-02
2018-01
2017-12
2017-11
2017-10
2017-09
so2
0.72
1.1
0.86
0.4
0.85
0.59
0.73
0.81
1.1
0.83
1.1
0.68
1.4
1.8
1.6
2.3
2
1.3
1.9
1.6
1.1
0.8
0.76
0.89
1.2
1.5
1.5
2.3
1.4
1.1
1.8
1.2
1.5
no2
19
22
26
27
39
41
35
32
24
24
24
27
29
38
34
60
38
36
42
41
36
20
24
23
28
40
44
44
36
38
44
37
58
o3
67
70
51
45
26
26
25
29
43
52
65
62
58
57
52
18
27
26
14
27
41
57
83
59
68
52
40
25
30
25
20
23
19
FR04150
index
2020-05
2020-04
2020-03
2020-02
2020-01
2019-12
2019-11
2019-10
2019-09
2019-08
2019-07
2019-06
2019-05
2019-04
2019-03
2019-02
2019-01
2018-12
2018-11
2018-10
2018-09
2018-08
2018-07
2018-06
2018-05
2018-04
2018-03
2018-02
2018-01
2017-12
2017-11
2017-10
2017-09
pm10
18
21
20
15
21
19
15
19
20
20
25
22
-
-
-
-
-
-
-
-
29
22
29
25
25
20
20
24
15
17
20
18
21
no2
20
19
25
23
37
35
34
28
25
21
23
24
23
35
34
56
35
31
38
39
31
22
27
27
27
32
35
36
29
31
36
31
52
FR04179
index
2020-05
2020-04
2020-03
2020-02
2020-01
2019-12
2019-11
2019-10
2019-09
2019-08
2019-07
2019-06
2019-05
2019-04
2019-03
2019-02
2019-01
2018-12
2018-11
2018-10
2018-09
2018-08
2018-07
2018-06
2018-05
2018-04
2018-03
2018-02
2018-01
2017-12
2017-11
2017-10
2017-09
pm10
17
20
18
13
19
14
11
12
14
10
17
14
14
18
19
31
19
17
20
22
19
17
24
23
24
18
18
21
13
14
17
17
22
no2
15
17
20
16
29
27
25
21
17
17
21
19
24
29
25
50
32
24
33
37
32
19
23
22
24
27
33
36
25
28
36
27
37
* Pollution data source:
https://openaq.org
(EEA France)
The data is licensed under CC-By 4.0
29 (Good)
PM2,5 10 (Good)
PM10 13 (Good)
NO2 38 (Good)
O3 2 (Good)
Data on air pollution from recent days in Hauts-de-Seine
| index | 2024-01-10 | 2024-01-11 | 2024-01-12 | 2024-01-13 | 2024-01-14 | 2024-01-15 | 2024-01-16 | 2024-01-17 | 2023-12-23 | 2023-12-24 | 2023-12-25 | 2023-12-26 | 2023-12-27 | 2023-12-28 | 2023-12-29 | 2023-12-30 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| no | 12 Good |
15 Good |
5 Good |
12 Good |
7 Good |
12 Good |
67 Good |
14 Good |
1 Good |
1 Good |
1 Good |
1 Good |
2 Good |
1 Good |
1 Good |
1 Good |
| no2 | 36 Good |
42 Moderate |
30 Good |
40 Moderate |
38 Good |
36 Good |
64 Moderate |
38 Good |
6 Good |
4 Good |
3 Good |
8 Good |
10 Good |
7 Good |
6 Good |
7 Good |
| pm10 | 31 Moderate |
41 Moderate |
25 Moderate |
25 Moderate |
36 Moderate |
25 Moderate |
54 Unhealthy for Sensitive Groups |
19 Good |
8 Good |
13 Good |
11 Good |
12 Good |
12 Good |
10 Good |
11 Good |
10 Good |
| pm25 | 25 Moderate |
32 Moderate |
20 Moderate |
22 Moderate |
31 Moderate |
15 Moderate |
29 Moderate |
16 Moderate |
- Good |
- Good |
- Good |
- Good |
- Good |
- Good |
- Good |
- Good |
| o3 | 11 Good |
9 Good |
33 Good |
15 Good |
17 Good |
29 Good |
16 Good |
13 Good |
- Good |
- Good |
- Good |
- Good |
- Good |
- Good |
- Good |
- Good |
| index | 2020-05 | 2020-04 | 2020-03 | 2020-02 | 2020-01 | 2019-12 | 2019-11 | 2019-10 | 2019-09 | 2019-08 | 2019-07 | 2019-06 | 2019-05 | 2019-04 | 2019-03 | 2019-02 | 2019-01 | 2018-12 | 2018-11 | 2018-10 | 2018-09 | 2018-08 | 2018-07 | 2018-06 | 2018-05 | 2018-04 | 2018-03 | 2018-02 | 2018-01 | 2017-12 | 2017-11 | 2017-10 | 2017-09 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| pm10 | 18 (Good) | 21 (Moderate) | 19 (Good) | 15 (Good) | 21 (Moderate) | 18 (Good) | 13 (Good) | 15 (Good) | 17 (Good) | 16 (Good) | 21 (Moderate) | 18 (Good) | 16 (Good) | 21 (Moderate) | 20 (Moderate) | 34 (Moderate) | 21 (Moderate) | 17 (Good) | 21 (Moderate) | 23 (Moderate) | 23 (Moderate) | 19 (Good) | 25 (Moderate) | 23 (Moderate) | 24 (Moderate) | 19 (Good) | 18 (Good) | 22 (Moderate) | 14 (Good) | 16 (Good) | 20 (Good) | 18 (Good) | 23 (Moderate) |
| no2 | 18 (Good) | 20 (Good) | 23 (Good) | 22 (Good) | 35 (Good) | 34 (Good) | 32 (Good) | 26 (Good) | 22 (Good) | 21 (Good) | 23 (Good) | 23 (Good) | 25 (Good) | 33 (Good) | 30 (Good) | 55 (Moderate) | 35 (Good) | 31 (Good) | 37 (Good) | 39 (Good) | 33 (Good) | 20 (Good) | 24 (Good) | 23 (Good) | 26 (Good) | 33 (Good) | 37 (Good) | 38 (Good) | 29 (Good) | 33 (Good) | 40 (Good) | 32 (Good) | 52 (Moderate) |
| so2 | 0.72 (Good) | 1.1 (Good) | 0.86 (Good) | 0.4 (Good) | 0.85 (Good) | 0.59 (Good) | 0.73 (Good) | 0.81 (Good) | 1.1 (Good) | 0.83 (Good) | 1.1 (Good) | 0.68 (Good) | 1.4 (Good) | 1.8 (Good) | 1.6 (Good) | 2.3 (Good) | 2 (Good) | 1.3 (Good) | 1.9 (Good) | 1.6 (Good) | 1.1 (Good) | 0.8 (Good) | 0.76 (Good) | 0.89 (Good) | 1.2 (Good) | 1.5 (Good) | 1.5 (Good) | 2.3 (Good) | 1.4 (Good) | 1.1 (Good) | 1.8 (Good) | 1.2 (Good) | 1.5 (Good) |
| o3 | 67 (Good) | 70 (Good) | 51 (Good) | 45 (Good) | 26 (Good) | 26 (Good) | 25 (Good) | 29 (Good) | 43 (Good) | 52 (Good) | 65 (Good) | 62 (Good) | 58 (Good) | 57 (Good) | 52 (Good) | 18 (Good) | 27 (Good) | 26 (Good) | 14 (Good) | 27 (Good) | 41 (Good) | 57 (Good) | 83 (Moderate) | 59 (Good) | 68 (Good) | 52 (Good) | 40 (Good) | 25 (Good) | 30 (Good) | 25 (Good) | 20 (Good) | 23 (Good) | 19 (Good) |
| pm25 | - (Good) | - (Good) | 6.3 (Good) | 6.5 (Good) | 15 (Moderate) | 11 (Good) | 7.6 (Good) | 6.8 (Good) | 6.9 (Good) | 8.4 (Good) | 10 (Good) | 9.7 (Good) | 12 (Good) | 16 (Moderate) | 14 (Moderate) | 24 (Moderate) | 15 (Moderate) | 12 (Good) | 17 (Moderate) | 14 (Moderate) | 11 (Good) | 9.2 (Good) | 11 (Good) | 16 (Moderate) | 14 (Moderate) | 11 (Good) | 12 (Good) | 17 (Moderate) | 9.9 (Good) | 11 (Good) | 14 (Moderate) | 11 (Good) | 16 (Moderate) |
16 (Good)
index_name_noPM2,5 10 (Good)
particulate matter (PM2.5) dustPM10 11 (Good)
particulate matter (PM10) suspended dustNO2 42 (Moderate)
nitrogen dioxide (NO2)55 (Good)
index_name_noNO2 51 (Moderate)
nitrogen dioxide (NO2)O3 2.4 (Good)
ozone (O3)42 (Good)
index_name_noNO2 49 (Moderate)
nitrogen dioxide (NO2)PM2,5 11 (Good)
particulate matter (PM2.5) dust1.4 (Good)
index_name_noNO2 10 (Good)
nitrogen dioxide (NO2)PM10 14 (Good)
particulate matter (PM10) suspended dustFR04002
| index | 2024-01-17 | 2024-01-16 | 2024-01-15 | 2024-01-14 | 2024-01-13 | 2024-01-12 | 2024-01-11 | 2024-01-10 |
|---|---|---|---|---|---|---|---|---|
| no | 8.5 | 110 | 21 | 8.1 | 13 | 3.5 | 14 | 9.9 |
| no2 | 37 | 69 | 41 | 39 | 37 | 28 | 39 | 32 |
| pm10 | 19 | 54 | 25 | 36 | 25 | 25 | 41 | 31 |
| pm25 | 17 | 38 | 18 | 35 | 23 | 22 | 33 | 26 |
NEUILLY-SUR-SEINE
| index | 2024-01-17 | 2024-01-16 | 2024-01-15 | 2024-01-14 | 2024-01-13 | 2024-01-12 | 2024-01-11 | 2024-01-10 |
|---|---|---|---|---|---|---|---|---|
| o3 | 13 | 16 | 29 | 17 | 15 | 33 | 9.4 | 11 |
| no | 20 | 54 | 10 | 8.8 | 11 | 4.4 | 17 | 13 |
| no2 | 40 | 66 | 38 | 40 | 43 | 33 | 46 | 39 |
FR04150
| index | 2024-01-17 | 2024-01-16 | 2024-01-15 | 2024-01-14 | 2024-01-13 | 2024-01-12 | 2024-01-11 | 2024-01-10 |
|---|---|---|---|---|---|---|---|---|
| no2 | 38 | 57 | 30 | 35 | 40 | 29 | 41 | 38 |
| no | 14 | 38 | 3.5 | 5.3 | 11 | 6 | 15 | 14 |
| pm25 | 16 | 20 | 11 | 28 | 21 | 19 | 30 | 24 |
PARIS Stade Lenglen
| index | 2023-12-30 | 2023-12-29 | 2023-12-28 | 2023-12-27 | 2023-12-26 | 2023-12-25 | 2023-12-24 | 2023-12-23 |
|---|---|---|---|---|---|---|---|---|
| pm10 | 10 | 11 | 10 | 12 | 12 | 11 | 13 | 7.8 |
| no | 1.3 | 1.3 | 1.5 | 1.7 | 1.4 | 1.1 | 1.1 | 1.2 |
| no2 | 7.3 | 5.5 | 6.8 | 9.7 | 8.5 | 2.9 | 3.6 | 6.2 |
FR04002
| index | 2020-05 | 2020-04 | 2020-03 | 2020-02 | 2020-01 | 2019-12 | 2019-11 | 2019-10 | 2019-09 | 2019-08 | 2019-07 | 2019-06 | 2019-05 | 2019-04 | 2019-03 | 2019-02 | 2019-01 | 2018-12 | 2018-11 | 2018-10 | 2018-09 | 2018-08 | 2018-07 | 2018-06 | 2018-05 | 2018-04 | 2018-03 | 2018-02 | 2018-01 | 2017-12 | 2017-11 | 2017-10 | 2017-09 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| pm25 | - | - | 6.3 | 6.5 | 15 | 11 | 7.6 | 6.8 | 6.9 | 8.4 | 10 | 9.7 | 12 | 16 | 14 | 24 | 15 | 12 | 17 | 14 | 11 | 9.2 | 11 | 16 | 14 | 11 | 12 | 17 | 9.9 | 11 | 14 | 11 | 16 |
| pm10 | 17 | 22 | 20 | 16 | 22 | 19 | 15 | 14 | 16 | 17 | 21 | 18 | 18 | 24 | 21 | 36 | 23 | 17 | 22 | 25 | 22 | 18 | 22 | 23 | 23 | 20 | 18 | 22 | 13 | 15 | 21 | 19 | 26 |
| no2 | 19 | 21 | 23 | 21 | 33 | 34 | 32 | 25 | 22 | 22 | 22 | 22 | 24 | 33 | 27 | 54 | 34 | 32 | 37 | 38 | 32 | 18 | 21 | 20 | 24 | 34 | 36 | 38 | 28 | 33 | 42 | 33 | 58 |
FR04017
| index | 2020-05 | 2020-04 | 2020-03 | 2020-02 | 2020-01 | 2019-12 | 2019-11 | 2019-10 | 2019-09 | 2019-08 | 2019-07 | 2019-06 | 2019-05 | 2019-04 | 2019-03 | 2019-02 | 2019-01 | 2018-12 | 2018-11 | 2018-10 | 2018-09 | 2018-08 | 2018-07 | 2018-06 | 2018-05 | 2018-04 | 2018-03 | 2018-02 | 2018-01 | 2017-12 | 2017-11 | 2017-10 | 2017-09 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| so2 | 0.72 | 1.1 | 0.86 | 0.4 | 0.85 | 0.59 | 0.73 | 0.81 | 1.1 | 0.83 | 1.1 | 0.68 | 1.4 | 1.8 | 1.6 | 2.3 | 2 | 1.3 | 1.9 | 1.6 | 1.1 | 0.8 | 0.76 | 0.89 | 1.2 | 1.5 | 1.5 | 2.3 | 1.4 | 1.1 | 1.8 | 1.2 | 1.5 |
| no2 | 19 | 22 | 26 | 27 | 39 | 41 | 35 | 32 | 24 | 24 | 24 | 27 | 29 | 38 | 34 | 60 | 38 | 36 | 42 | 41 | 36 | 20 | 24 | 23 | 28 | 40 | 44 | 44 | 36 | 38 | 44 | 37 | 58 |
| o3 | 67 | 70 | 51 | 45 | 26 | 26 | 25 | 29 | 43 | 52 | 65 | 62 | 58 | 57 | 52 | 18 | 27 | 26 | 14 | 27 | 41 | 57 | 83 | 59 | 68 | 52 | 40 | 25 | 30 | 25 | 20 | 23 | 19 |
FR04150
| index | 2020-05 | 2020-04 | 2020-03 | 2020-02 | 2020-01 | 2019-12 | 2019-11 | 2019-10 | 2019-09 | 2019-08 | 2019-07 | 2019-06 | 2019-05 | 2019-04 | 2019-03 | 2019-02 | 2019-01 | 2018-12 | 2018-11 | 2018-10 | 2018-09 | 2018-08 | 2018-07 | 2018-06 | 2018-05 | 2018-04 | 2018-03 | 2018-02 | 2018-01 | 2017-12 | 2017-11 | 2017-10 | 2017-09 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| pm10 | 18 | 21 | 20 | 15 | 21 | 19 | 15 | 19 | 20 | 20 | 25 | 22 | - | - | - | - | - | - | - | - | 29 | 22 | 29 | 25 | 25 | 20 | 20 | 24 | 15 | 17 | 20 | 18 | 21 |
| no2 | 20 | 19 | 25 | 23 | 37 | 35 | 34 | 28 | 25 | 21 | 23 | 24 | 23 | 35 | 34 | 56 | 35 | 31 | 38 | 39 | 31 | 22 | 27 | 27 | 27 | 32 | 35 | 36 | 29 | 31 | 36 | 31 | 52 |
FR04179
| index | 2020-05 | 2020-04 | 2020-03 | 2020-02 | 2020-01 | 2019-12 | 2019-11 | 2019-10 | 2019-09 | 2019-08 | 2019-07 | 2019-06 | 2019-05 | 2019-04 | 2019-03 | 2019-02 | 2019-01 | 2018-12 | 2018-11 | 2018-10 | 2018-09 | 2018-08 | 2018-07 | 2018-06 | 2018-05 | 2018-04 | 2018-03 | 2018-02 | 2018-01 | 2017-12 | 2017-11 | 2017-10 | 2017-09 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| pm10 | 17 | 20 | 18 | 13 | 19 | 14 | 11 | 12 | 14 | 10 | 17 | 14 | 14 | 18 | 19 | 31 | 19 | 17 | 20 | 22 | 19 | 17 | 24 | 23 | 24 | 18 | 18 | 21 | 13 | 14 | 17 | 17 | 22 |
| no2 | 15 | 17 | 20 | 16 | 29 | 27 | 25 | 21 | 17 | 17 | 21 | 19 | 24 | 29 | 25 | 50 | 32 | 24 | 33 | 37 | 32 | 19 | 23 | 22 | 24 | 27 | 33 | 36 | 25 | 28 | 36 | 27 | 37 |