Inquinamento atmosferico in Buenos Aires: indice di qualità dell'aria in tempo reale e allarme smog.
Previsioni di inquinamento e qualità dell'aria per Buenos Aires. Oggi è venerdì 2 maggio 2025. Per Buenos Aires sono stati registrati i seguenti valori di inquinamento atmosferico:- biossido di azoto (NO2) - 11 (Buono)
- polveri sospese di particolato (PM10) - 6 (Buono)
- polvere di particolato (PM2.5) - 4 (Buono)
- biossido di zolfo (SO2) - 5 (Buono)
- ozono (O3) - 52 (Buono)
- monossido di carbonio (CO) - 100 (Buono)
Qual è la qualità dell'aria Buenos Aires oggi? L'aria è inquinata Buenos Aires? C'è smog?
Quanto è alto il livello di NO2? (biossido di azoto (NO2))
11 (Buono)
Qual è il livello di PM10 oggi in Buenos Aires? (polveri sospese di particolato (PM10))
L'attuale livello di particolato PM10 in Buenos Aires è:
6 (Buono)
I valori PM10 più alti si verificano in genere nel mese: 78 (febbraio 2020).
Il valore più basso dell'inquinamento da particolato PM10 in Buenos Aires è di solito registrato in: novembre (1.3).
Qual è il livello attuale di PM2.5 in Buenos Aires? (polvere di particolato (PM2.5))
Il livello PM2.5 di oggi è:
4 (Buono)
Per fare un confronto, il livello più alto di PM2,5 in Buenos Aires negli ultimi 7 giorni è stato: 12 (giovedì 25 maggio 2023) e il più basso: 6 (martedì 30 maggio 2023).
Sono stati registrati i valori PM2,5 più alti: 89 (luglio 2018).
Il più basso livello di inquinamento da particolato PM2.5 si verifica nel mese: luglio (1.2).
Qual è il livello di inquinamento da SO2? (biossido di zolfo (SO2))
5 (Buono)
Come è il livello O3 oggi in Buenos Aires? (ozono (O3))
52 (Buono)
Quanto è alto il livello di CO? (monossido di carbonio (CO))
100 (Buono)
Dati correnti mercoledì 31 maggio 2023, 04:00
NO2 11 (Buono)
PM10 6 (Buono)
PM2,5 4 (Buono)
SO2 5 (Buono)
O3 52 (Buono)
2 (Buono)
CO 100 (Buono)
Dati sull'inquinamento atmosferico degli ultimi giorni 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 »
Inquinamento atmosferico in Buenos Aires da maggio 2020 a aprile 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
mercoledì 31 maggio 2023, 04:00
NO2 9 (Buono)
biossido di azoto (NO2)
PM10 9 (Buono)
polveri sospese di particolato (PM10)
PM2,5 7 (Buono)
polvere di particolato (PM2.5)
SO2 8 (Buono)
biossido di zolfo (SO2)
O3 53 (Buono)
ozono (O3)
2 (Buono)
index_name_no
ES2020A
mercoledì 31 maggio 2023, 04:00
O3 50 (Buono)
ozono (O3)
SO2 2 (Buono)
biossido di zolfo (SO2)
NO2 12 (Buono)
biossido di azoto (NO2)
PM2,5 1 (Buono)
polvere di particolato (PM2.5)
CO 100 (Buono)
monossido di carbonio (CO)
PM10 2 (Buono)
polveri sospese di particolato (PM10)
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 (Buono)
PM10 6 (Buono)
PM2,5 4 (Buono)
SO2 5 (Buono)
O3 52 (Buono)
2 (Buono)
CO 100 (Buono)
Dati sull'inquinamento atmosferico degli ultimi giorni 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 (Buono)
biossido di azoto (NO2)PM10 9 (Buono)
polveri sospese di particolato (PM10)PM2,5 7 (Buono)
polvere di particolato (PM2.5)SO2 8 (Buono)
biossido di zolfo (SO2)O3 53 (Buono)
ozono (O3)2 (Buono)
index_name_noO3 50 (Buono)
ozono (O3)SO2 2 (Buono)
biossido di zolfo (SO2)NO2 12 (Buono)
biossido di azoto (NO2)PM2,5 1 (Buono)
polvere di particolato (PM2.5)CO 100 (Buono)
monossido di carbonio (CO)PM10 2 (Buono)
polveri sospese di particolato (PM10)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
| 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 |