Légszennyezettség Buenos Aires: valós idejű levegőminőségi mutató és szmogriadó.
A szennyezés és a levegőminőség előrejelzése Buenos Aires. Ma van 2025. május 2., péntek. A következő légszennyezési értékeket jegyezték fel Buenos Aires esetében:- nitrogén-dioxid (NO2) - 11 (jó)
- por (PM10) lebegő por - 6 (jó)
- por (PM2,5) por - 4 (jó)
- kén-dioxid (SO2) - 5 (jó)
- ózon (O3) - 52 (jó)
- szén-monoxid (CO) - 100 (jó)
Milyen a levegő minősége Buenos Aires ma? A levegő szennyezett Buenos Aires?. Van szmog?
Milyen magas a NO2 szintje? (nitrogén-dioxid (NO2))
11 (jó)
Milyen szinten pm10 ma Buenos Aires? (por (PM10) lebegő por)
A PM10-kibocsátás jelenlegi szintje Buenos Aires is:
6 (jó)
A legmagasabb PM10 értékek általában a hónapban fordulnak elő: 78 (2020. február).
A pm10-szennyezés legalacsonyabb értéke Buenos Aires általában a következőkben van feljegyezve: november (1.3).
Mi a PM2,5 jelenlegi szintje Buenos Aires? (por (PM2,5) por)
A mai PM2,5 szint:
4 (jó)
Összehasonlításképpen, a legmagasabb PM2,5-szint Buenos Aires az elmúlt 7 napban a következő volt: 12 (2023. május 25., csütörtök) és a legalacsonyabb: 6 (2023. május 30., kedd).
A legmagasabb PM2,5 értékeket rögzítették: 89 (2018. július).
A pm2,5-szennyezés legalacsonyabb szintje a hónapban történik: július (1.2).
Mekkora az SO2-szennyezés szintje? (kén-dioxid (SO2))
5 (jó)
Milyen az O3 szint ma Buenos Aires? (ózon (O3))
52 (jó)
Milyen magas a CO szint? (szén-monoxid (CO))
100 (jó)
Aktuális adatok 2023. május 31., szerda 4:00
NO2 11 (jó)
PM10 6 (jó)
PM2,5 4 (jó)
SO2 5 (jó)
O3 52 (jó)
2 (jó)
CO 100 (jó)
Az elmúlt napok levegőszennyezéséről szóló adatok 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 »
Légszennyezés Buenos Aires -től 2020. május 2020. április
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
2023. május 31., szerda 4:00
NO2 9 (jó)
nitrogén-dioxid (NO2)
PM10 9 (jó)
por (PM10) lebegő por
PM2,5 7 (jó)
por (PM2,5) por
SO2 8 (jó)
kén-dioxid (SO2)
O3 53 (jó)
ózon (O3)
2 (jó)
index_name_no
ES2020A
2023. május 31., szerda 4:00
O3 50 (jó)
ózon (O3)
SO2 2 (jó)
kén-dioxid (SO2)
NO2 12 (jó)
nitrogén-dioxid (NO2)
PM2,5 1 (jó)
por (PM2,5) por
CO 100 (jó)
szén-monoxid (CO)
PM10 2 (jó)
por (PM10) lebegő por
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 (jó)
PM10 6 (jó)
PM2,5 4 (jó)
SO2 5 (jó)
O3 52 (jó)
2 (jó)
CO 100 (jó)
Az elmúlt napok levegőszennyezéséről szóló adatok 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 (jó)
nitrogén-dioxid (NO2)PM10 9 (jó)
por (PM10) lebegő porPM2,5 7 (jó)
por (PM2,5) porSO2 8 (jó)
kén-dioxid (SO2)O3 53 (jó)
ózon (O3)2 (jó)
index_name_noO3 50 (jó)
ózon (O3)SO2 2 (jó)
kén-dioxid (SO2)NO2 12 (jó)
nitrogén-dioxid (NO2)PM2,5 1 (jó)
por (PM2,5) porCO 100 (jó)
szén-monoxid (CO)PM10 2 (jó)
por (PM10) lebegő porES2000A
| 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 |