Contaminación del aire en Buenos Aires: índice de calidad del aire en tiempo real y alerta de smog.
Previsión de la contaminación y la calidad del aire para Buenos Aires. Hoy es sábado, 1 de junio de 2024. Se han registrado los siguientes valores de contaminación atmosférica para Buenos Aires:- dióxido de nitrógeno (NO2) - 11 (bien)
- partículas de materia (PM10) polvo en suspensión - 6 (bien)
- polvo de partículas (PM2.5) - 4 (bien)
- dióxido de azufre (SO2) - 5 (bien)
- ozono (O3) - 52 (bien)
- monóxido de carbono (CO) - 100 (bien)
¿Cuál es la calidad del aire en Buenos Aires la actualidad? ¿El aire está contaminado en Buenos Aires? ¿Hay smog?
¿Qué tan alto es el nivel de NO2? (dióxido de nitrógeno (NO2))
11 (bien)
¿Cuál es el nivel de PM10 hoy en Buenos Aires? (partículas de materia (PM10) polvo en suspensión)
El nivel actual de partículas PM10 en Buenos Aires es:
6 (bien)
Los valores PM10 más altos suelen ocurrir en el mes: 78 (febrero de 2020).
El valor más bajo de la contaminación por partículas PM10 en Buenos Aires suele registrarse en: noviembre (1.3).
¿Cuál es el nivel actual de PM2.5 en Buenos Aires? (polvo de partículas (PM2.5))
El nivel actual de PM2.5 es:
4 (bien)
En comparación, el nivel más alto de PM2.5 en Buenos Aires en los últimos 7 días fue: 12 (jueves, 25 de mayo de 2023) y el más bajo: 6 (martes, 30 de mayo de 2023).
Se registraron los valores PM2.5 más altos: 89 (julio de 2018).
El nivel más bajo de contaminación por partículas PM2.5 se produce en el mes: julio (1.2).
¿Cuál es el nivel de contaminación por SO2? (dióxido de azufre (SO2))
5 (bien)
¿Cómo es el nivel de O3 hoy en Buenos Aires? (ozono (O3))
52 (bien)
¿Qué tan alto es el nivel de CO? (monóxido de carbono (CO))
100 (bien)
Datos actuales miércoles, 31 de mayo de 2023 4:00
NO2 11 (bien)
PM10 6 (bien)
PM2,5 4 (bien)
SO2 5 (bien)
O3 52 (bien)
2 (bien)
CO 100 (bien)
Datos sobre la contaminación atmosférica de los últimos días 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 »
Contaminación atmosférica en Buenos Aires de mayo de 2020 a abril de 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
miércoles, 31 de mayo de 2023 4:00
NO2 9 (bien)
dióxido de nitrógeno (NO2)
PM10 9 (bien)
partículas de materia (PM10) polvo en suspensión
PM2,5 7 (bien)
polvo de partículas (PM2.5)
SO2 8 (bien)
dióxido de azufre (SO2)
O3 53 (bien)
ozono (O3)
2 (bien)
index_name_no
ES2020A
miércoles, 31 de mayo de 2023 4:00
O3 50 (bien)
ozono (O3)
SO2 2 (bien)
dióxido de azufre (SO2)
NO2 12 (bien)
dióxido de nitrógeno (NO2)
PM2,5 1 (bien)
polvo de partículas (PM2.5)
CO 100 (bien)
monóxido de carbono (CO)
PM10 2 (bien)
partículas de materia (PM10) polvo en suspensión
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 (bien)
PM10 6 (bien)
PM2,5 4 (bien)
SO2 5 (bien)
O3 52 (bien)
2 (bien)
CO 100 (bien)
Datos sobre la contaminación atmosférica de los últimos días 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 (bien)
dióxido de nitrógeno (NO2)PM10 9 (bien)
partículas de materia (PM10) polvo en suspensiónPM2,5 7 (bien)
polvo de partículas (PM2.5)SO2 8 (bien)
dióxido de azufre (SO2)O3 53 (bien)
ozono (O3)2 (bien)
index_name_noO3 50 (bien)
ozono (O3)SO2 2 (bien)
dióxido de azufre (SO2)NO2 12 (bien)
dióxido de nitrógeno (NO2)PM2,5 1 (bien)
polvo de partículas (PM2.5)CO 100 (bien)
monóxido de carbono (CO)PM10 2 (bien)
partículas de materia (PM10) polvo en suspensiónES2000A
| 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 |