Luftverschmutzung in Hualpén Peñuelas: Echtzeit-Luft-Qualitätsindex und Smog-Alarm.
Für die Hualpén Peñuelas. Heute ist Samstag, 5. April 2025. Für Hualpén Peñuelas wurden folgende Luftverschmutzungswerte gemessen:- Schwefeldioxid (SO2) - 12 (gut)
- Feinstaub (PM10) Schwebestaub - 78 (Ungesund für sensible Gruppen)
- Feinstaub (PM2,5) - 53 (Ungesund für sensible Gruppen)
Wie ist die Luftqualität Hualpén Peñuelas heute? Ist die Luft in Hualpén Peñuelas? verschmutzt. Gibt es Smog?
Heute (Dienstag, 30. Mai 2023) ist die Luftqualität in Hualpén Peñuelas mäßig verschmutzt.
Gesunde Menschen können leichte Reizungen erfahren, und empfindliche Personen werden durch die Verschmutzungen in Hualpén Peñuelas in größerem Maße beeinträchtigt.
Wie hoch ist die SO2-Belastung? (Schwefeldioxid (SO2))
12 (gut)
Wie hoch ist der PM10-Stand heute in Hualpén Peñuelas? (Feinstaub (PM10) Schwebestaub)
Der aktuelle Feinstaubgehalt PM10 in Hualpén Peñuelas is:
78 (Ungesund für sensible Gruppen)
Die höchsten PM10-Werte treten in der Regel im Monat auf: 45 (Februar 2020).
Der niedrigste Wert der Feinstaub-PM10-Belastung in Hualpén Peñuelas ist in der Regel in: Oktober (12).
Wie hoch ist der aktuelle PM2,5-Wert in Hualpén Peñuelas? (Feinstaub (PM2,5))
Die heutige PM2.5-Stufe ist:
53 (Ungesund für sensible Gruppen)
Zum Vergleich: Der höchste PM2,5-Wert in Hualpén Peñuelas in den letzten 7 Tagen war: 46 (Dienstag, 30. Mai 2023) und der niedrigste: 18 (Mittwoch, 24. Mai 2023).
Die höchsten PM2,5-Werte wurden gemessen: 17 (Mai 2020).
Die niedrigste Feinstaubbelastung PM2,5 tritt im Monat auf: April (13).
Aktuelle Daten Dienstag, 30. Mai 2023, 23:00
SO2 12 (gut)
PM10 78 (Ungesund für sensible Gruppen)
PM2,5 53 (Ungesund für sensible Gruppen)
Daten zur Luftverschmutzung der letzten Tage in Hualpén Peñuelas
index
2023-05-24
2023-05-25
2023-05-26
2023-05-27
2023-05-28
2023-05-29
2023-05-30
so2
14
Good
15
Good
19
Good
12
Good
12
Good
12
Good
13
Good
pm25
18
Moderate
28
Moderate
22
Moderate
19
Moderate
42
Unhealthy for Sensitive Groups
30
Moderate
46
Unhealthy for Sensitive Groups
pm10
33
Moderate
43
Moderate
38
Moderate
26
Moderate
53
Unhealthy for Sensitive Groups
41
Moderate
66
Unhealthy for Sensitive Groups
data source »
Luftverschmutzung in Hualpén Peñuelas von September 2015 bis Mai 2020
index
2020-05
2020-04
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
2018-11
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
2017-08
2017-07
2017-06
2017-05
2017-04
2017-03
2017-02
2020-03
2020-02
2017-01
2016-12
2016-11
2016-10
2016-09
2016-08
2016-07
2016-06
2016-05
2016-04
2016-03
2016-02
2016-01
2015-12
2015-11
2015-10
2015-09
so2
6.5 (Good)
5.2 (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
13 (Good)
17 (Good)
21 (Good)
39 (Good)
7.7 (Good)
6.4 (Good)
29 (Good)
42 (Good)
27 (Good)
24 (Good)
24 (Good)
26 (Good)
21 (Good)
17 (Good)
21 (Good)
20 (Good)
21 (Good)
24 (Good)
49 (Good)
19 (Good)
38 (Good)
28 (Good)
33 (Good)
pm25
17 (Moderate)
13 (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
pm10
28 (Moderate)
30 (Moderate)
26 (Moderate)
18 (Good)
16 (Good)
15 (Good)
16 (Good)
22 (Moderate)
20 (Good)
20 (Good)
26 (Moderate)
22 (Moderate)
22 (Moderate)
30 (Moderate)
19 (Good)
13 (Good)
12 (Good)
18 (Good)
23 (Moderate)
31 (Moderate)
32 (Moderate)
30 (Moderate)
25 (Moderate)
20 (Moderate)
22 (Moderate)
23 (Moderate)
16 (Good)
16 (Good)
14 (Good)
19 (Good)
22 (Moderate)
23 (Moderate)
24 (Moderate)
28 (Moderate)
23 (Moderate)
22 (Moderate)
22 (Moderate)
31 (Moderate)
45 (Moderate)
23 (Moderate)
27 (Moderate)
25 (Moderate)
21 (Moderate)
35 (Moderate)
28 (Moderate)
29 (Moderate)
45 (Moderate)
29 (Moderate)
31 (Moderate)
38 (Moderate)
24 (Moderate)
35 (Moderate)
20 (Good)
23 (Moderate)
20 (Good)
14 (Good)
o3
23 (Good)
27 (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
24 (Good)
21 (Good)
21 (Good)
17 (Good)
23 (Good)
22 (Good)
18 (Good)
19 (Good)
22 (Good)
26 (Good)
29 (Good)
30 (Good)
22 (Good)
18 (Good)
19 (Good)
20 (Good)
19 (Good)
17 (Good)
17 (Good)
22 (Good)
23 (Good)
26 (Good)
29 (Good)
co
1 (Good)
786 (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
558 (Good)
498 (Good)
328 (Good)
339 (Good)
730 (Good)
657 (Good)
343 (Good)
214 (Good)
208 (Good)
297 (Good)
251 (Good)
627 (Good)
1 (Good)
971 (Good)
655 (Good)
591 (Good)
319 (Good)
251 (Good)
366 (Good)
245 (Good)
277 (Good)
488 (Good)
335 (Good)
no2
10 (Good)
10 (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
28 (Good)
24 (Good)
25 (Good)
15 (Good)
6.5 (Good)
6.8 (Good)
11 (Good)
15 (Good)
13 (Good)
19 (Good)
26 (Good)
29 (Good)
35 (Good)
40 (Moderate)
35 (Good)
31 (Good)
19 (Good)
11 (Good)
13 (Good)
7.3 (Good)
11 (Good)
23 (Good)
24 (Good)
data source »
Bocatoma
Dienstag, 30. Mai 2023, 23:00
SO2 11 (gut)
Schwefeldioxid (SO2)
ENAP Price
Dienstag, 30. Mai 2023, 23:00
SO2 13 (gut)
Schwefeldioxid (SO2)
PM10 78 (Ungesund für sensible Gruppen)
Feinstaub (PM10) Schwebestaub
PM2,5 53 (Ungesund für sensible Gruppen)
Feinstaub (PM2,5)
Bocatoma
index
2023-05-30
2023-05-29
2023-05-28
2023-05-27
2023-05-26
2023-05-25
2023-05-24
so2
12
12
12
12
17
17
13
ENAP Price
index
2023-05-30
2023-05-29
2023-05-28
2023-05-27
2023-05-26
2023-05-25
2023-05-24
so2
15
13
13
12
22
13
15
pm25
46
30
42
19
22
28
18
pm10
66
41
53
26
38
43
33
Bocatoma
index
2020-05
2020-04
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
2018-11
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
2017-08
2017-07
2017-06
2017-05
2017-04
2017-03
2017-02
pm10
-
-
26
18
16
15
16
22
20
20
26
22
22
30
19
13
12
18
23
31
32
30
25
20
22
23
16
16
14
19
22
23
24
28
18
17
17
so2
5.7
4.6
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
ENAP Price
index
2020-05
2020-04
2020-03
2020-02
2017-05
2017-04
2017-03
2017-02
2017-01
2016-12
2016-11
2016-10
2016-09
2016-08
2016-07
2016-06
2016-05
2016-04
2016-03
2016-02
2016-01
2015-12
2015-11
2015-10
2015-09
o3
23
27
23
22
24
21
21
17
18
19
22
26
29
30
22
18
19
20
19
17
17
22
23
26
29
pm10
28
30
31
45
28
27
28
28
23
27
25
21
35
28
29
45
29
31
38
24
35
20
23
20
14
co
1
786
730
657
558
498
328
339
343
214
208
297
251
627
1
971
655
591
319
251
366
245
277
488
335
no2
10
10
6.5
6.8
28
24
25
15
11
15
13
19
26
29
35
40
35
31
19
11
13
7.3
11
23
24
so2
7.3
5.8
7.7
6.4
13
17
21
39
29
42
27
24
24
26
21
17
21
20
21
24
49
19
38
28
33
pm25
17
13
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
* Pollution data source:
https://openaq.org
(Chile - SINCA)
The data is licensed under CC-By 4.0
SO2 12 (gut)
PM10 78 (Ungesund für sensible Gruppen)
PM2,5 53 (Ungesund für sensible Gruppen)
Daten zur Luftverschmutzung der letzten Tage in Hualpén Peñuelas
| index | 2023-05-24 | 2023-05-25 | 2023-05-26 | 2023-05-27 | 2023-05-28 | 2023-05-29 | 2023-05-30 |
|---|---|---|---|---|---|---|---|
| so2 | 14 Good |
15 Good |
19 Good |
12 Good |
12 Good |
12 Good |
13 Good |
| pm25 | 18 Moderate |
28 Moderate |
22 Moderate |
19 Moderate |
42 Unhealthy for Sensitive Groups |
30 Moderate |
46 Unhealthy for Sensitive Groups |
| pm10 | 33 Moderate |
43 Moderate |
38 Moderate |
26 Moderate |
53 Unhealthy for Sensitive Groups |
41 Moderate |
66 Unhealthy for Sensitive Groups |
| index | 2020-05 | 2020-04 | 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 | 2018-11 | 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 | 2017-08 | 2017-07 | 2017-06 | 2017-05 | 2017-04 | 2017-03 | 2017-02 | 2020-03 | 2020-02 | 2017-01 | 2016-12 | 2016-11 | 2016-10 | 2016-09 | 2016-08 | 2016-07 | 2016-06 | 2016-05 | 2016-04 | 2016-03 | 2016-02 | 2016-01 | 2015-12 | 2015-11 | 2015-10 | 2015-09 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| so2 | 6.5 (Good) | 5.2 (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | 13 (Good) | 17 (Good) | 21 (Good) | 39 (Good) | 7.7 (Good) | 6.4 (Good) | 29 (Good) | 42 (Good) | 27 (Good) | 24 (Good) | 24 (Good) | 26 (Good) | 21 (Good) | 17 (Good) | 21 (Good) | 20 (Good) | 21 (Good) | 24 (Good) | 49 (Good) | 19 (Good) | 38 (Good) | 28 (Good) | 33 (Good) |
| pm25 | 17 (Moderate) | 13 (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) |
| pm10 | 28 (Moderate) | 30 (Moderate) | 26 (Moderate) | 18 (Good) | 16 (Good) | 15 (Good) | 16 (Good) | 22 (Moderate) | 20 (Good) | 20 (Good) | 26 (Moderate) | 22 (Moderate) | 22 (Moderate) | 30 (Moderate) | 19 (Good) | 13 (Good) | 12 (Good) | 18 (Good) | 23 (Moderate) | 31 (Moderate) | 32 (Moderate) | 30 (Moderate) | 25 (Moderate) | 20 (Moderate) | 22 (Moderate) | 23 (Moderate) | 16 (Good) | 16 (Good) | 14 (Good) | 19 (Good) | 22 (Moderate) | 23 (Moderate) | 24 (Moderate) | 28 (Moderate) | 23 (Moderate) | 22 (Moderate) | 22 (Moderate) | 31 (Moderate) | 45 (Moderate) | 23 (Moderate) | 27 (Moderate) | 25 (Moderate) | 21 (Moderate) | 35 (Moderate) | 28 (Moderate) | 29 (Moderate) | 45 (Moderate) | 29 (Moderate) | 31 (Moderate) | 38 (Moderate) | 24 (Moderate) | 35 (Moderate) | 20 (Good) | 23 (Moderate) | 20 (Good) | 14 (Good) |
| o3 | 23 (Good) | 27 (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | 24 (Good) | 21 (Good) | 21 (Good) | 17 (Good) | 23 (Good) | 22 (Good) | 18 (Good) | 19 (Good) | 22 (Good) | 26 (Good) | 29 (Good) | 30 (Good) | 22 (Good) | 18 (Good) | 19 (Good) | 20 (Good) | 19 (Good) | 17 (Good) | 17 (Good) | 22 (Good) | 23 (Good) | 26 (Good) | 29 (Good) |
| co | 1 (Good) | 786 (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | 558 (Good) | 498 (Good) | 328 (Good) | 339 (Good) | 730 (Good) | 657 (Good) | 343 (Good) | 214 (Good) | 208 (Good) | 297 (Good) | 251 (Good) | 627 (Good) | 1 (Good) | 971 (Good) | 655 (Good) | 591 (Good) | 319 (Good) | 251 (Good) | 366 (Good) | 245 (Good) | 277 (Good) | 488 (Good) | 335 (Good) |
| no2 | 10 (Good) | 10 (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | 28 (Good) | 24 (Good) | 25 (Good) | 15 (Good) | 6.5 (Good) | 6.8 (Good) | 11 (Good) | 15 (Good) | 13 (Good) | 19 (Good) | 26 (Good) | 29 (Good) | 35 (Good) | 40 (Moderate) | 35 (Good) | 31 (Good) | 19 (Good) | 11 (Good) | 13 (Good) | 7.3 (Good) | 11 (Good) | 23 (Good) | 24 (Good) |
SO2 11 (gut)
Schwefeldioxid (SO2)SO2 13 (gut)
Schwefeldioxid (SO2)PM10 78 (Ungesund für sensible Gruppen)
Feinstaub (PM10) SchwebestaubPM2,5 53 (Ungesund für sensible Gruppen)
Feinstaub (PM2,5)Bocatoma
| index | 2023-05-30 | 2023-05-29 | 2023-05-28 | 2023-05-27 | 2023-05-26 | 2023-05-25 | 2023-05-24 |
|---|---|---|---|---|---|---|---|
| so2 | 12 | 12 | 12 | 12 | 17 | 17 | 13 |
ENAP Price
| index | 2023-05-30 | 2023-05-29 | 2023-05-28 | 2023-05-27 | 2023-05-26 | 2023-05-25 | 2023-05-24 |
|---|---|---|---|---|---|---|---|
| so2 | 15 | 13 | 13 | 12 | 22 | 13 | 15 |
| pm25 | 46 | 30 | 42 | 19 | 22 | 28 | 18 |
| pm10 | 66 | 41 | 53 | 26 | 38 | 43 | 33 |
Bocatoma
| index | 2020-05 | 2020-04 | 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 | 2018-11 | 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 | 2017-08 | 2017-07 | 2017-06 | 2017-05 | 2017-04 | 2017-03 | 2017-02 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| pm10 | - | - | 26 | 18 | 16 | 15 | 16 | 22 | 20 | 20 | 26 | 22 | 22 | 30 | 19 | 13 | 12 | 18 | 23 | 31 | 32 | 30 | 25 | 20 | 22 | 23 | 16 | 16 | 14 | 19 | 22 | 23 | 24 | 28 | 18 | 17 | 17 |
| so2 | 5.7 | 4.6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
ENAP Price
| index | 2020-05 | 2020-04 | 2020-03 | 2020-02 | 2017-05 | 2017-04 | 2017-03 | 2017-02 | 2017-01 | 2016-12 | 2016-11 | 2016-10 | 2016-09 | 2016-08 | 2016-07 | 2016-06 | 2016-05 | 2016-04 | 2016-03 | 2016-02 | 2016-01 | 2015-12 | 2015-11 | 2015-10 | 2015-09 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| o3 | 23 | 27 | 23 | 22 | 24 | 21 | 21 | 17 | 18 | 19 | 22 | 26 | 29 | 30 | 22 | 18 | 19 | 20 | 19 | 17 | 17 | 22 | 23 | 26 | 29 |
| pm10 | 28 | 30 | 31 | 45 | 28 | 27 | 28 | 28 | 23 | 27 | 25 | 21 | 35 | 28 | 29 | 45 | 29 | 31 | 38 | 24 | 35 | 20 | 23 | 20 | 14 |
| co | 1 | 786 | 730 | 657 | 558 | 498 | 328 | 339 | 343 | 214 | 208 | 297 | 251 | 627 | 1 | 971 | 655 | 591 | 319 | 251 | 366 | 245 | 277 | 488 | 335 |
| no2 | 10 | 10 | 6.5 | 6.8 | 28 | 24 | 25 | 15 | 11 | 15 | 13 | 19 | 26 | 29 | 35 | 40 | 35 | 31 | 19 | 11 | 13 | 7.3 | 11 | 23 | 24 |
| so2 | 7.3 | 5.8 | 7.7 | 6.4 | 13 | 17 | 21 | 39 | 29 | 42 | 27 | 24 | 24 | 26 | 21 | 17 | 21 | 20 | 21 | 24 | 49 | 19 | 38 | 28 | 33 |
| pm25 | 17 | 13 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |