Polusi udara di Buenos Aires: indeks kualitas udara real-time dan siaga asap.
Perkiraan kualitas polusi dan udara untuk Buenos Aires. Hari ini Jumat, 2 Mei 2025. Nilai polusi udara berikut telah tercatat untuk Buenos Aires:- nitrogen dioksida (NO2) - 11 (Bagus)
- partikulat Matter (PM10) debu tersuspensi - 6 (Bagus)
- partikulat Matter (PM 2.5) debu - 4 (Bagus)
- sulfur dioksida (SO2) - 5 (Bagus)
- ozon (O3) - 52 (Bagus)
- karbon monoksida (CO) - 100 (Bagus)
Apa kualitas udara di Buenos Aires hari ini? Apakah udara tercemar di Buenos Aires?. Apakah ada Smog?
Seberapa tinggi tingkat NO2? (nitrogen dioksida (NO2))
11 (Bagus)
Apa tingkat PM10 hari ini di Buenos Aires? (partikulat Matter (PM10) debu tersuspensi)
Level saat ini dari partikulat Matter PM10 di Buenos Aires adalah:
6 (Bagus)
Nilai PM10 tertinggi biasanya terjadi di bulan: 78 (Februari 2020).
Nilai terendah dari partikulat PM10 pencemaran Buenos Aires biasanya dicatat di: November (1.3).
Apa tingkat saat PM 2,5 in Buenos Aires? (partikulat Matter (PM 2.5) debu)
Hari ini PM 2.5 tingkat:
4 (Bagus)
Sebagai perbandingan, tingkat tertinggi PM 2,5 in Buenos Aires dalam 7 hari terakhir adalah: 12 (Kamis, 25 Mei 2023) dan Terendah: 6 (Selasa, 30 Mei 2023).
Nilai tertinggi PM 2.5 direkam: 89 (Juli 2018).
Tingkat terendah dari partikulat Matter PM 2.5 polusi terjadi di bulan: Juli (1.2).
Apa tingkat polusi SO2? (sulfur dioksida (SO2))
5 (Bagus)
Bagaimana tingkat O3 hari ini di Buenos Aires? (ozon (O3))
52 (Bagus)
Seberapa tinggi tingkat CO? (karbon monoksida (CO))
100 (Bagus)
Data saat ini Rabu, 31 Mei 2023 04.00
NO2 11 (Bagus)
PM10 6 (Bagus)
PM2,5 4 (Bagus)
SO2 5 (Bagus)
O3 52 (Bagus)
2 (Bagus)
CO 100 (Bagus)
Data tentang polusi udara dari beberapa hari terakhir di 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 »
Polusi udara di Buenos Aires dari Mei 2020 ke April 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
Rabu, 31 Mei 2023 04.00
NO2 9 (Bagus)
nitrogen dioksida (NO2)
PM10 9 (Bagus)
partikulat Matter (PM10) debu tersuspensi
PM2,5 7 (Bagus)
partikulat Matter (PM 2.5) debu
SO2 8 (Bagus)
sulfur dioksida (SO2)
O3 53 (Bagus)
ozon (O3)
2 (Bagus)
index_name_no
ES2020A
Rabu, 31 Mei 2023 04.00
O3 50 (Bagus)
ozon (O3)
SO2 2 (Bagus)
sulfur dioksida (SO2)
NO2 12 (Bagus)
nitrogen dioksida (NO2)
PM2,5 1 (Bagus)
partikulat Matter (PM 2.5) debu
CO 100 (Bagus)
karbon monoksida (CO)
PM10 2 (Bagus)
partikulat Matter (PM10) debu tersuspensi
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 (Bagus)
PM10 6 (Bagus)
PM2,5 4 (Bagus)
SO2 5 (Bagus)
O3 52 (Bagus)
2 (Bagus)
CO 100 (Bagus)
Data tentang polusi udara dari beberapa hari terakhir di 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 (Bagus)
nitrogen dioksida (NO2)PM10 9 (Bagus)
partikulat Matter (PM10) debu tersuspensiPM2,5 7 (Bagus)
partikulat Matter (PM 2.5) debuSO2 8 (Bagus)
sulfur dioksida (SO2)O3 53 (Bagus)
ozon (O3)2 (Bagus)
index_name_noO3 50 (Bagus)
ozon (O3)SO2 2 (Bagus)
sulfur dioksida (SO2)NO2 12 (Bagus)
nitrogen dioksida (NO2)PM2,5 1 (Bagus)
partikulat Matter (PM 2.5) debuCO 100 (Bagus)
karbon monoksida (CO)PM10 2 (Bagus)
partikulat Matter (PM10) debu tersuspensiES2000A
| 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 |