Gaisa piesārņojums Hualpén Peñuelas: Reālā laika gaisa kvalitātes indekss un smogs brīdinājumu.
Piesārņojuma un gaisa kvalitātes prognoze Hualpén Peñuelas. Šodien ir ceturtdiena, 2024. gada 16. maijs. Attiecībā uz šīm vērtībām ir noteiktas šādas gaisa Hualpén Peñuelas:- sēra dioksīds (SO2) - 12 (labs)
- suspendēto putekļu daļiņu (PM10) - 78 (Neveselīgs jutīgām grupām)
- daļiņu (PM2.5) putekļi - 53 (Neveselīgs jutīgām grupām)
Kāda ir gaisa kvalitāte Hualpén Peñuelas šodien? Vai gaiss ir piesārņots Hualpén Peñuelas?. Vai ir smogs?
Šodien (otrdiena, 2023. gada 30. maijs) gaisa kvalitāte ir mēreni piesārņota Hualpén Peñuelas.
Veseliem cilvēkiem var rasties neliels kairinājums, un jutīgas personas lielā mērā ietekmēs piesārņojums Hualpén Peñuelas.
Kāds ir SO2 piesārņojuma līmenis? (sēra dioksīds (SO2))
12 (labs)
Kāds ir līmenis PM10 šodien Hualpén Peñuelas? (suspendēto putekļu daļiņu (PM10))
Pašreizējais daļiņu PM10 līmenis Hualpén Peñuelas:
78 (Neveselīgs jutīgām grupām)
Augstākās PM10 vērtības parasti tiek ievadītas mēnesī: 45 (2020. g. februāris).
Mazākā makrodaļiņu PM10 piesārņojuma vērtība Hualpén Peñuelas parasti reģistrē: oktobris (12).
Kāds ir pašreizējais līmenis PM2.5 Hualpén Peñuelas? (daļiņu (PM2.5) putekļi)
Šodienas PM2.5 līmenis ir:
53 (Neveselīgs jutīgām grupām)
Salīdzinājumam, augstākais PM2,5 līmenis Hualpén Peñuelas pēdējās 7 dienās bija: 46 (otrdiena, 2023. gada 30. maijs) un zemākais: 18 (trešdiena, 2023. gada 24. maijs).
Tika reģistrētas augstākās PM2,5 vērtības: 17 (2020. g. maijs).
Zemākais daļiņu PM2.5 piesārņojums mēnesī rodas: aprīlis (13).
Pašreizējie dati otrdiena, 2023. gada 30. maijs 23:00
SO2 12 (labs)
PM10 78 (Neveselīgs jutīgām grupām)
PM2,5 53 (Neveselīgs jutīgām grupām)
Dati par gaisa piesārņojumu no pēdējām dienām 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 »
Gaisa piesārņojums Hualpén Peñuelas no 2015. g. septembris to 2020. g. maijs
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
otrdiena, 2023. gada 30. maijs 23:00
SO2 11 (labs)
sēra dioksīds (SO2)
ENAP Price
otrdiena, 2023. gada 30. maijs 23:00
SO2 13 (labs)
sēra dioksīds (SO2)
PM10 78 (Neveselīgs jutīgām grupām)
suspendēto putekļu daļiņu (PM10)
PM2,5 53 (Neveselīgs jutīgām grupām)
daļiņu (PM2.5) putekļi
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 (labs)
PM10 78 (Neveselīgs jutīgām grupām)
PM2,5 53 (Neveselīgs jutīgām grupām)
Dati par gaisa piesārņojumu no pēdējām dienām 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 (labs)
sēra dioksīds (SO2)SO2 13 (labs)
sēra dioksīds (SO2)PM10 78 (Neveselīgs jutīgām grupām)
suspendēto putekļu daļiņu (PM10)PM2,5 53 (Neveselīgs jutīgām grupām)
daļiņu (PM2.5) putekļiBocatoma
| 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 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |