Zanieczyszczenie powietrza w Buenos Aires: Wskaźnik jakości powietrza w czasie rzeczywistym i alarm smogowy.
Zanieczyszczenie i prognoza jakości powietrza w Buenos Aires. Dziś jest poniedziałek, 15 grudnia 2025. Odnotowano następujące wartości zanieczyszczenia powietrza w Buenos Aires:- dwutlenek azotu (NO2) - 11 (Dobry)
- cząstki stałe (PM10) pył zawieszony - 6 (Dobry)
- cząstki stałe (PM2.5) pył - 4 (Dobry)
- dwutlenek siarki (SO2) - 5 (Dobry)
- ozon (O3) - 52 (Dobry)
- tlenek węgla (CO) - 100 (Dobry)
Jaka jest dzisiaj jakość powietrza w Buenos Aires? Czy powietrze jest zanieczyszczone w Buenos Aires? Czy jest dużo smogu?
Jak wysoki jest poziom NO2? (dwutlenek azotu (NO2))
11 (Dobry)
Jaki jest dziś poziom PM10 w Buenos Aires? (cząstki stałe (PM10) pył zawieszony)
Obecny poziom pyłu zawieszonego PM10 w Buenos Aires to:
6 (Dobry)
Najwyższe wartości PM10 występują zwykle w: 78 (luty 2020).
Najniższa wartość pyłu zawieszonego PM10 zanieczyszczenia w Buenos Aires jas zwykle rejestrowane w: listopadzie (1.3).
Jaki jest obecny poziom PM2.5 w Buenos Aires? (cząstki stałe (PM2.5) pył)
Dzisiejszy poziom PM2.5 to:
4 (Dobry)
Dla porównania, najwyższy poziom PM2,5 w Buenos Aires w ciągu ostatnich 7 dni wyniósł: 12 (czwartek, 25 maja 2023) i najniższy: 6 (wtorek, 30 maja 2023).
Najwyższe wartości PM2,5 zostały zarejestrowane: 89 (lipiec 2018).
Najniższy poziom pyłu zawieszonego PM2,5 występuje w: lipcu (1.2).
Jaki jest poziom zanieczyszczenia SO2? (dwutlenek siarki (SO2))
5 (Dobry)
Jak jest dziś poziom O3 w Buenos Aires? (ozon (O3))
52 (Dobry)
Jak wysoki jest poziom CO? (tlenek węgla (CO))
100 (Dobry)
Aktualne dane środa, 31 maja 2023, 04:00
NO2 11 (Dobry)
PM10 6 (Dobry)
PM2,5 4 (Dobry)
SO2 5 (Dobry)
O3 52 (Dobry)
2 (Dobry)
CO 100 (Dobry)
Dane dotyczące zanieczyszczenia powietrza z ostatnich dni w Buenos Aires
index
2023-05-24
2023-05-25
2023-05-26
2023-05-27
2023-05-28
2023-05-29
2023-05-30
2023-05-31
o3
79
Moderate
65
Good
64
Good
60
Good
67
Good
50
Good
57
Good
52
Good
so2
4
Good
4
Good
4
Good
5
Good
4
Good
5
Good
8
Good
8
Good
no
9
Good
11
Good
12
Good
9
Good
5
Good
12
Good
7
Good
2
Good
pm10
14
Good
15
Good
14
Good
14
Good
12
Good
11
Good
8
Good
7
Good
no2
16
Good
22
Good
22
Good
17
Good
13
Good
18
Good
13
Good
10
Good
pm25
8
Good
12
Good
11
Good
10
Good
9
Good
8
Good
6
Good
6
Good
co
179
Good
204
Good
204
Good
117
Good
121
Good
139
Good
121
Good
125
Good
data source »
Zanieczyszczenie powietrza w Buenos Aires od maj 2020 do kwiecień 2020
index
2020-04
2020-03
2020-02
2020-01
2019-12
2019-11
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
2018-01
2017-10
2017-09
2020-05
o3
64 (Good)
67 (Good)
42 (Good)
56 (Good)
34 (Good)
3.3 (Good)
29 (Good)
27 (Good)
9.9 (Good)
49 (Good)
57 (Good)
79 (Moderate)
68 (Good)
57 (Good)
49 (Good)
25 (Good)
55 (Good)
42 (Good)
50 (Good)
54 (Good)
48 (Good)
54 (Good)
86 (Moderate)
75 (Moderate)
55 (Good)
59 (Good)
47 (Good)
38 (Good)
- (Good)
so2
5.4 (Good)
3.6 (Good)
3 (Good)
6.1 (Good)
16 (Good)
0.67 (Good)
4.2 (Good)
7.2 (Good)
1.5 (Good)
8.2 (Good)
7.3 (Good)
4.9 (Good)
5 (Good)
3.8 (Good)
3.5 (Good)
5.8 (Good)
3.1 (Good)
3.9 (Good)
2.5 (Good)
2.6 (Good)
2.9 (Good)
1.9 (Good)
1.5 (Good)
2.6 (Good)
2.4 (Good)
1.1 (Good)
3.3 (Good)
2.3 (Good)
2.2 (Good)
pm10
- (Good)
24 (Moderate)
78 (Unhealthy for Sensitive Groups)
26 (Moderate)
36 (Moderate)
1.3 (Good)
16 (Good)
12 (Good)
2.8 (Good)
17 (Good)
22 (Moderate)
57 (Unhealthy for Sensitive Groups)
26 (Moderate)
21 (Moderate)
15 (Good)
50 (Moderate)
9.2 (Good)
17 (Good)
24 (Moderate)
23 (Moderate)
16 (Good)
9.9 (Good)
14 (Good)
15 (Good)
12 (Good)
15 (Good)
27 (Moderate)
36 (Moderate)
- (Good)
co
- (Good)
311 (Good)
514 (Good)
700 (Good)
852 (Good)
69 (Good)
392 (Good)
399 (Good)
137 (Good)
500 (Good)
478 (Good)
370 (Good)
266 (Good)
490 (Good)
455 (Good)
464 (Good)
468 (Good)
387 (Good)
319 (Good)
318 (Good)
392 (Good)
355 (Good)
376 (Good)
451 (Good)
425 (Good)
365 (Good)
140 (Good)
184 (Good)
- (Good)
pm25
- (Good)
13 (Good)
36 (Unhealthy for Sensitive Groups)
10 (Good)
12 (Good)
16 (Moderate)
11 (Good)
4 (Good)
1.2 (Good)
4.5 (Good)
7 (Good)
36 (Unhealthy for Sensitive Groups)
9.2 (Good)
6.7 (Good)
4.9 (Good)
83 (Very Unhealthy)
3.8 (Good)
8.1 (Good)
12 (Good)
11 (Good)
89 (Very Unhealthy)
3.8 (Good)
6.4 (Good)
5.7 (Good)
13 (Moderate)
5.6 (Good)
- (Good)
- (Good)
3.3 (Good)
no2
- (Good)
14 (Good)
33 (Good)
35 (Good)
49 (Moderate)
1.5 (Good)
10 (Good)
14 (Good)
2.8 (Good)
25 (Good)
23 (Good)
19 (Good)
33 (Good)
29 (Good)
33 (Good)
41 (Moderate)
23 (Good)
27 (Good)
23 (Good)
22 (Good)
21 (Good)
17 (Good)
14 (Good)
16 (Good)
23 (Good)
16 (Good)
21 (Good)
25 (Good)
6.6 (Good)
data source »
ES2000A
środa, 31 maja 2023, 04:00
NO2 9 (Dobry)
dwutlenek azotu (NO2)
PM10 9 (Dobry)
cząstki stałe (PM10) pył zawieszony
PM2,5 7 (Dobry)
cząstki stałe (PM2.5) pył
SO2 8 (Dobry)
dwutlenek siarki (SO2)
O3 53 (Dobry)
ozon (O3)
2 (Dobry)
index_name_no
ES2020A
środa, 31 maja 2023, 04:00
O3 50 (Dobry)
ozon (O3)
SO2 2 (Dobry)
dwutlenek siarki (SO2)
NO2 12 (Dobry)
dwutlenek azotu (NO2)
PM2,5 1 (Dobry)
cząstki stałe (PM2.5) pył
CO 100 (Dobry)
tlenek węgla (CO)
PM10 2 (Dobry)
cząstki stałe (PM10) pył zawieszony
ES2000A
index
2023-05-31
2023-05-30
2023-05-29
2023-05-28
2023-05-27
2023-05-26
2023-05-25
2023-05-24
o3
54
57
47
66
56
58
58
75
so2
7.5
7.7
7.6
6.5
7.2
6.7
6.5
6.1
no
2.3
6.7
12
4.8
8.7
12
11
8.9
pm10
10
12
15
17
18
20
21
20
no2
7.8
13
21
13
21
29
29
19
pm25
11
9.9
13
15
15
15
16
13
ES2020A
index
2023-05-31
2023-05-30
2023-05-29
2023-05-28
2023-05-27
2023-05-26
2023-05-25
2023-05-24
no2
11
12
15
14
14
16
16
13
co
125
121
139
121
117
204
204
179
so2
7.8
7.7
2
2.3
2.4
2.2
2
2
pm25
1
1.2
2.1
2.9
5.6
6.5
8.5
2.7
pm10
2.8
4.5
5.9
7.4
9.5
8.5
10
9.2
o3
51
58
52
67
65
70
72
84
ES2000A
2017-09 2020-04
index
2020-04
2020-03
2020-02
2020-01
2019-12
2019-11
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
2018-01
2017-10
2017-09
pm10
-
30
112
31
36
1.6
22
12
2.8
17
22
57
26
21
15
50
9.2
17
24
23
16
9.9
14
15
12
15
27
36
co
-
311
514
700
852
69
392
399
137
500
478
370
266
490
455
464
468
387
319
318
392
355
376
451
425
365
140
184
so2
5.4
4.6
3.1
8.8
16
1.1
6.2
7.2
1.5
8.2
7.3
4.9
5
3.8
3.5
5.8
3.1
3.9
2.5
2.6
2.9
1.9
1.5
2.6
2.4
1.1
3.3
2.3
no2
-
21
46
48
49
2
13
14
2.8
25
23
19
33
29
33
41
23
27
23
22
21
17
14
16
23
16
21
25
o3
64
71
35
42
34
3.6
31
27
9.9
49
57
79
68
57
49
25
55
42
50
54
48
54
86
75
55
59
47
38
pm25
-
15
50
12
12
32
15
4
1.2
4.5
7
36
9.2
6.7
4.9
83
3.8
8.1
12
11
89
3.8
6.4
5.7
13
5.6
-
-
ES2020A
index
2020-05
2020-03
2020-02
2020-01
2019-11
2019-09
pm25
3.3
11
21
8.6
0.54
6.4
so2
2.2
2.6
2.7
3.4
0.26
2.2
pm10
-
17
45
21
1
11
o3
-
62
49
71
3.1
28
no2
6.6
6.7
20
22
1.1
7.4
* Pollution data source:
https://openaq.org
(EEA Spain)
The data is licensed under CC-By 4.0
NO2 11 (Dobry)
PM10 6 (Dobry)
PM2,5 4 (Dobry)
SO2 5 (Dobry)
O3 52 (Dobry)
2 (Dobry)
CO 100 (Dobry)
Dane dotyczące zanieczyszczenia powietrza z ostatnich dni w Buenos Aires
| index | 2023-05-24 | 2023-05-25 | 2023-05-26 | 2023-05-27 | 2023-05-28 | 2023-05-29 | 2023-05-30 | 2023-05-31 |
|---|---|---|---|---|---|---|---|---|
| o3 | 79 Moderate |
65 Good |
64 Good |
60 Good |
67 Good |
50 Good |
57 Good |
52 Good |
| so2 | 4 Good |
4 Good |
4 Good |
5 Good |
4 Good |
5 Good |
8 Good |
8 Good |
| no | 9 Good |
11 Good |
12 Good |
9 Good |
5 Good |
12 Good |
7 Good |
2 Good |
| pm10 | 14 Good |
15 Good |
14 Good |
14 Good |
12 Good |
11 Good |
8 Good |
7 Good |
| no2 | 16 Good |
22 Good |
22 Good |
17 Good |
13 Good |
18 Good |
13 Good |
10 Good |
| pm25 | 8 Good |
12 Good |
11 Good |
10 Good |
9 Good |
8 Good |
6 Good |
6 Good |
| co | 179 Good |
204 Good |
204 Good |
117 Good |
121 Good |
139 Good |
121 Good |
125 Good |
| index | 2020-04 | 2020-03 | 2020-02 | 2020-01 | 2019-12 | 2019-11 | 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 | 2018-01 | 2017-10 | 2017-09 | 2020-05 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| o3 | 64 (Good) | 67 (Good) | 42 (Good) | 56 (Good) | 34 (Good) | 3.3 (Good) | 29 (Good) | 27 (Good) | 9.9 (Good) | 49 (Good) | 57 (Good) | 79 (Moderate) | 68 (Good) | 57 (Good) | 49 (Good) | 25 (Good) | 55 (Good) | 42 (Good) | 50 (Good) | 54 (Good) | 48 (Good) | 54 (Good) | 86 (Moderate) | 75 (Moderate) | 55 (Good) | 59 (Good) | 47 (Good) | 38 (Good) | - (Good) |
| so2 | 5.4 (Good) | 3.6 (Good) | 3 (Good) | 6.1 (Good) | 16 (Good) | 0.67 (Good) | 4.2 (Good) | 7.2 (Good) | 1.5 (Good) | 8.2 (Good) | 7.3 (Good) | 4.9 (Good) | 5 (Good) | 3.8 (Good) | 3.5 (Good) | 5.8 (Good) | 3.1 (Good) | 3.9 (Good) | 2.5 (Good) | 2.6 (Good) | 2.9 (Good) | 1.9 (Good) | 1.5 (Good) | 2.6 (Good) | 2.4 (Good) | 1.1 (Good) | 3.3 (Good) | 2.3 (Good) | 2.2 (Good) |
| pm10 | - (Good) | 24 (Moderate) | 78 (Unhealthy for Sensitive Groups) | 26 (Moderate) | 36 (Moderate) | 1.3 (Good) | 16 (Good) | 12 (Good) | 2.8 (Good) | 17 (Good) | 22 (Moderate) | 57 (Unhealthy for Sensitive Groups) | 26 (Moderate) | 21 (Moderate) | 15 (Good) | 50 (Moderate) | 9.2 (Good) | 17 (Good) | 24 (Moderate) | 23 (Moderate) | 16 (Good) | 9.9 (Good) | 14 (Good) | 15 (Good) | 12 (Good) | 15 (Good) | 27 (Moderate) | 36 (Moderate) | - (Good) |
| co | - (Good) | 311 (Good) | 514 (Good) | 700 (Good) | 852 (Good) | 69 (Good) | 392 (Good) | 399 (Good) | 137 (Good) | 500 (Good) | 478 (Good) | 370 (Good) | 266 (Good) | 490 (Good) | 455 (Good) | 464 (Good) | 468 (Good) | 387 (Good) | 319 (Good) | 318 (Good) | 392 (Good) | 355 (Good) | 376 (Good) | 451 (Good) | 425 (Good) | 365 (Good) | 140 (Good) | 184 (Good) | - (Good) |
| pm25 | - (Good) | 13 (Good) | 36 (Unhealthy for Sensitive Groups) | 10 (Good) | 12 (Good) | 16 (Moderate) | 11 (Good) | 4 (Good) | 1.2 (Good) | 4.5 (Good) | 7 (Good) | 36 (Unhealthy for Sensitive Groups) | 9.2 (Good) | 6.7 (Good) | 4.9 (Good) | 83 (Very Unhealthy) | 3.8 (Good) | 8.1 (Good) | 12 (Good) | 11 (Good) | 89 (Very Unhealthy) | 3.8 (Good) | 6.4 (Good) | 5.7 (Good) | 13 (Moderate) | 5.6 (Good) | - (Good) | - (Good) | 3.3 (Good) |
| no2 | - (Good) | 14 (Good) | 33 (Good) | 35 (Good) | 49 (Moderate) | 1.5 (Good) | 10 (Good) | 14 (Good) | 2.8 (Good) | 25 (Good) | 23 (Good) | 19 (Good) | 33 (Good) | 29 (Good) | 33 (Good) | 41 (Moderate) | 23 (Good) | 27 (Good) | 23 (Good) | 22 (Good) | 21 (Good) | 17 (Good) | 14 (Good) | 16 (Good) | 23 (Good) | 16 (Good) | 21 (Good) | 25 (Good) | 6.6 (Good) |
NO2 9 (Dobry)
dwutlenek azotu (NO2)PM10 9 (Dobry)
cząstki stałe (PM10) pył zawieszonyPM2,5 7 (Dobry)
cząstki stałe (PM2.5) pyłSO2 8 (Dobry)
dwutlenek siarki (SO2)O3 53 (Dobry)
ozon (O3)2 (Dobry)
index_name_noO3 50 (Dobry)
ozon (O3)SO2 2 (Dobry)
dwutlenek siarki (SO2)NO2 12 (Dobry)
dwutlenek azotu (NO2)PM2,5 1 (Dobry)
cząstki stałe (PM2.5) pyłCO 100 (Dobry)
tlenek węgla (CO)PM10 2 (Dobry)
cząstki stałe (PM10) pył zawieszonyES2000A
| index | 2023-05-31 | 2023-05-30 | 2023-05-29 | 2023-05-28 | 2023-05-27 | 2023-05-26 | 2023-05-25 | 2023-05-24 |
|---|---|---|---|---|---|---|---|---|
| o3 | 54 | 57 | 47 | 66 | 56 | 58 | 58 | 75 |
| so2 | 7.5 | 7.7 | 7.6 | 6.5 | 7.2 | 6.7 | 6.5 | 6.1 |
| no | 2.3 | 6.7 | 12 | 4.8 | 8.7 | 12 | 11 | 8.9 |
| pm10 | 10 | 12 | 15 | 17 | 18 | 20 | 21 | 20 |
| no2 | 7.8 | 13 | 21 | 13 | 21 | 29 | 29 | 19 |
| pm25 | 11 | 9.9 | 13 | 15 | 15 | 15 | 16 | 13 |
ES2020A
| index | 2023-05-31 | 2023-05-30 | 2023-05-29 | 2023-05-28 | 2023-05-27 | 2023-05-26 | 2023-05-25 | 2023-05-24 |
|---|---|---|---|---|---|---|---|---|
| no2 | 11 | 12 | 15 | 14 | 14 | 16 | 16 | 13 |
| co | 125 | 121 | 139 | 121 | 117 | 204 | 204 | 179 |
| so2 | 7.8 | 7.7 | 2 | 2.3 | 2.4 | 2.2 | 2 | 2 |
| pm25 | 1 | 1.2 | 2.1 | 2.9 | 5.6 | 6.5 | 8.5 | 2.7 |
| pm10 | 2.8 | 4.5 | 5.9 | 7.4 | 9.5 | 8.5 | 10 | 9.2 |
| o3 | 51 | 58 | 52 | 67 | 65 | 70 | 72 | 84 |
ES2000A
| index | 2020-04 | 2020-03 | 2020-02 | 2020-01 | 2019-12 | 2019-11 | 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 | 2018-01 | 2017-10 | 2017-09 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| pm10 | - | 30 | 112 | 31 | 36 | 1.6 | 22 | 12 | 2.8 | 17 | 22 | 57 | 26 | 21 | 15 | 50 | 9.2 | 17 | 24 | 23 | 16 | 9.9 | 14 | 15 | 12 | 15 | 27 | 36 |
| co | - | 311 | 514 | 700 | 852 | 69 | 392 | 399 | 137 | 500 | 478 | 370 | 266 | 490 | 455 | 464 | 468 | 387 | 319 | 318 | 392 | 355 | 376 | 451 | 425 | 365 | 140 | 184 |
| so2 | 5.4 | 4.6 | 3.1 | 8.8 | 16 | 1.1 | 6.2 | 7.2 | 1.5 | 8.2 | 7.3 | 4.9 | 5 | 3.8 | 3.5 | 5.8 | 3.1 | 3.9 | 2.5 | 2.6 | 2.9 | 1.9 | 1.5 | 2.6 | 2.4 | 1.1 | 3.3 | 2.3 |
| no2 | - | 21 | 46 | 48 | 49 | 2 | 13 | 14 | 2.8 | 25 | 23 | 19 | 33 | 29 | 33 | 41 | 23 | 27 | 23 | 22 | 21 | 17 | 14 | 16 | 23 | 16 | 21 | 25 |
| o3 | 64 | 71 | 35 | 42 | 34 | 3.6 | 31 | 27 | 9.9 | 49 | 57 | 79 | 68 | 57 | 49 | 25 | 55 | 42 | 50 | 54 | 48 | 54 | 86 | 75 | 55 | 59 | 47 | 38 |
| pm25 | - | 15 | 50 | 12 | 12 | 32 | 15 | 4 | 1.2 | 4.5 | 7 | 36 | 9.2 | 6.7 | 4.9 | 83 | 3.8 | 8.1 | 12 | 11 | 89 | 3.8 | 6.4 | 5.7 | 13 | 5.6 | - | - |
ES2020A
| index | 2020-05 | 2020-03 | 2020-02 | 2020-01 | 2019-11 | 2019-09 |
|---|---|---|---|---|---|---|
| pm25 | 3.3 | 11 | 21 | 8.6 | 0.54 | 6.4 |
| so2 | 2.2 | 2.6 | 2.7 | 3.4 | 0.26 | 2.2 |
| pm10 | - | 17 | 45 | 21 | 1 | 11 |
| o3 | - | 62 | 49 | 71 | 3.1 | 28 |
| no2 | 6.6 | 6.7 | 20 | 22 | 1.1 | 7.4 |