Luftverschmutzung in Jiangbei: Echtzeit-Luft-Qualitätsindex und Smog-Alarm.
Für die Jiangbei. Heute ist Samstag, 5. April 2025. Für Jiangbei wurden folgende Luftverschmutzungswerte gemessen:- Feinstaub (PM10) Schwebestaub - 7 (gut)
- Feinstaub (PM2,5) - 2 (gut)
- Kohlenmonoxid (CO) - 100 (gut)
- Stickstoffdioxid (NO2) - 8 (gut)
- Ozon (O3) - 0 (gut)
- Schwefeldioxid (SO2) - 9 (gut)
Wie ist die Luftqualität Jiangbei heute? Ist die Luft in Jiangbei? verschmutzt. Gibt es Smog?
Wie hoch ist der PM10-Stand heute in Jiangbei? (Feinstaub (PM10) Schwebestaub)
Der aktuelle Feinstaubgehalt PM10 in Jiangbei is:
7 (gut)
Die höchsten PM10-Werte treten in der Regel im Monat auf: 113 (Januar 2020).
Der niedrigste Wert der Feinstaub-PM10-Belastung in Jiangbei ist in der Regel in: August (21).
Wie hoch ist der aktuelle PM2,5-Wert in Jiangbei? (Feinstaub (PM2,5))
Die heutige PM2.5-Stufe ist:
2 (gut)
Zum Vergleich: Der höchste PM2,5-Wert in Jiangbei in den letzten 7 Tagen war: 24 (Freitag, 27. Mai 2022) und der niedrigste: 24 (Freitag, 27. Mai 2022).
Die höchsten PM2,5-Werte wurden gemessen: 90 (Januar 2020).
Die niedrigste Feinstaubbelastung PM2,5 tritt im Monat auf: August (13).
Wie hoch ist der CO-Gehalt? (Kohlenmonoxid (CO))
100 (gut)
Wie hoch ist das NO2-Niveau? (Stickstoffdioxid (NO2))
8 (gut)
Wie ist das O3-Niveau heute in Jiangbei? (Ozon (O3))
0 (gut)
Wie hoch ist die SO2-Belastung? (Schwefeldioxid (SO2))
9 (gut)
Aktuelle Daten Freitag, 27. Mai 2022, 12:00
PM10 7 (gut)
PM2,5 2 (gut)
CO 100 (gut)
NO2 8 (gut)
O3 0 (gut)
SO2 9 (gut)
Daten zur Luftverschmutzung der letzten Tage in Jiangbei
index
2022-05-27
pm10
32
Moderate
pm25
24
Moderate
co
468
Good
no2
21
Good
o3
32
Good
so2
5
Good
data source »
Luftverschmutzung in Jiangbei von Oktober 2018 bis Mai 2020
index
2020-05
2020-04
2020-03
2020-02
2020-01
2019-12
2019-11
2019-10
2019-09
2019-08
2019-07
2019-06
2019-05
2019-04
2019-03
2019-02
2019-01
2018-12
2018-11
2018-10
pm25
22 (Moderate)
65 (Unhealthy)
31 (Moderate)
36 (Unhealthy for Sensitive Groups)
90 (Very Unhealthy)
57 (Unhealthy)
22 (Moderate)
25 (Moderate)
15 (Moderate)
13 (Moderate)
18 (Moderate)
15 (Moderate)
18 (Moderate)
28 (Moderate)
48 (Unhealthy for Sensitive Groups)
74 (Unhealthy)
50 (Unhealthy for Sensitive Groups)
39 (Unhealthy for Sensitive Groups)
30 (Moderate)
21 (Moderate)
co
515 (Good)
744 (Good)
603 (Good)
688 (Good)
496 (Good)
880 (Good)
647 (Good)
740 (Good)
608 (Good)
663 (Good)
628 (Good)
456 (Good)
473 (Good)
633 (Good)
742 (Good)
777 (Good)
814 (Good)
616 (Good)
702 (Good)
590 (Good)
no2
16 (Good)
25 (Good)
17 (Good)
16 (Good)
38 (Good)
30 (Good)
22 (Good)
26 (Good)
18 (Good)
13 (Good)
14 (Good)
18 (Good)
13 (Good)
18 (Good)
20 (Good)
22 (Good)
25 (Good)
22 (Good)
24 (Good)
24 (Good)
o3
125 (Unhealthy for Sensitive Groups)
127 (Unhealthy for Sensitive Groups)
101 (Moderate)
90 (Moderate)
93 (Moderate)
65 (Good)
57 (Good)
88 (Moderate)
98 (Moderate)
83 (Moderate)
128 (Unhealthy for Sensitive Groups)
125 (Unhealthy for Sensitive Groups)
136 (Unhealthy for Sensitive Groups)
119 (Moderate)
105 (Moderate)
89 (Moderate)
62 (Good)
56 (Good)
64 (Good)
72 (Moderate)
pm10
53 (Unhealthy for Sensitive Groups)
97 (Unhealthy)
60 (Unhealthy for Sensitive Groups)
49 (Moderate)
113 (Very Unhealthy)
77 (Unhealthy for Sensitive Groups)
41 (Moderate)
53 (Unhealthy for Sensitive Groups)
32 (Moderate)
21 (Moderate)
31 (Moderate)
29 (Moderate)
62 (Unhealthy for Sensitive Groups)
103 (Unhealthy)
82 (Unhealthy)
89 (Unhealthy)
76 (Unhealthy for Sensitive Groups)
61 (Unhealthy for Sensitive Groups)
60 (Unhealthy for Sensitive Groups)
42 (Moderate)
so2
9.2 (Good)
11 (Good)
8.4 (Good)
12 (Good)
23 (Good)
15 (Good)
8.3 (Good)
9 (Good)
5.2 (Good)
5.3 (Good)
4.7 (Good)
5.3 (Good)
6.5 (Good)
7.3 (Good)
11 (Good)
16 (Good)
14 (Good)
11 (Good)
12 (Good)
6.6 (Good)
data source »
哈达湾
Freitag, 27. Mai 2022, 12:00
PM10 6.7 (gut)
Feinstaub (PM10) Schwebestaub
PM2,5 1.7 (gut)
Feinstaub (PM2,5)
CO 100 (gut)
Kohlenmonoxid (CO)
NO2 7.6 (gut)
Stickstoffdioxid (NO2)
O3 0.02 (gut)
Ozon (O3)
SO2 8.6 (gut)
Schwefeldioxid (SO2)
江北
Freitag, 27. Mai 2022, 12:00
PM10 6.7 (gut)
Feinstaub (PM10) Schwebestaub
PM2,5 1.7 (gut)
Feinstaub (PM2,5)
CO 100 (gut)
Kohlenmonoxid (CO)
NO2 7.6 (gut)
Stickstoffdioxid (NO2)
O3 0.02 (gut)
Ozon (O3)
SO2 8.6 (gut)
Schwefeldioxid (SO2)
哈达湾
index
2022-05-27
pm10
32
pm25
24
co
468
no2
21
o3
32
so2
4.6
江北
index
2022-05-27
pm10
32
pm25
24
co
468
no2
21
o3
32
so2
4.6
哈达湾
2018-10 2020-05
index
2020-05
2020-04
2020-03
2020-02
2020-01
2019-12
2019-11
2019-10
2019-09
2019-08
2019-07
2019-06
2019-05
2019-04
2019-03
2019-02
2019-01
2018-12
2018-11
2018-10
pm25
30
77
35
39
102
56
25
26
17
16
20
20
20
31
59
74
55
47
33
22
co
662
912
742
809
1
922
714
808
697
759
675
544
583
730
837
926
995
769
893
694
no2
20
28
18
17
42
34
27
29
24
16
17
24
17
24
26
28
32
25
29
29
o3
136
135
103
96
96
73
65
98
106
91
130
135
142
121
112
98
63
58
69
74
pm10
62
111
60
53
130
75
47
53
36
24
33
35
49
80
92
100
88
73
55
44
so2
15
16
13
17
31
20
13
12
8.2
8.1
6.5
8
9.4
10
13
20
18
14
18
10
江北
2018-10 2020-05
index
2020-05
2020-04
2020-03
2020-02
2020-01
2019-12
2019-11
2019-10
2019-09
2019-08
2019-07
2019-06
2019-05
2019-04
2019-03
2019-02
2019-01
2018-12
2018-11
2018-10
pm25
14
54
27
33
77
59
20
24
13
10
16
9.9
17
26
37
74
45
31
28
20
co
368
575
464
566
990
838
579
671
519
566
581
368
363
535
646
628
632
463
511
486
no2
13
22
16
14
33
27
17
23
13
10
12
11
8.9
12
14
16
18
18
18
18
o3
114
118
100
85
89
57
49
78
89
75
125
115
130
116
98
80
61
55
59
70
pm10
44
84
59
45
96
80
35
54
27
18
28
24
76
126
72
79
64
49
64
40
so2
3.5
5
4.3
6.9
14
10
3.2
5.8
2.1
2.4
2.9
2.5
3.6
4.4
9.3
11
10
7.5
6.9
3.3
* Pollution data source:
https://openaq.org
(ChinaAQIData)
The data is licensed under CC-By 4.0
PM10 7 (gut)
PM2,5 2 (gut)
CO 100 (gut)
NO2 8 (gut)
O3 0 (gut)
SO2 9 (gut)
Daten zur Luftverschmutzung der letzten Tage in Jiangbei
| index | 2022-05-27 |
|---|---|
| pm10 | 32 Moderate |
| pm25 | 24 Moderate |
| co | 468 Good |
| no2 | 21 Good |
| o3 | 32 Good |
| so2 | 5 Good |
| index | 2020-05 | 2020-04 | 2020-03 | 2020-02 | 2020-01 | 2019-12 | 2019-11 | 2019-10 | 2019-09 | 2019-08 | 2019-07 | 2019-06 | 2019-05 | 2019-04 | 2019-03 | 2019-02 | 2019-01 | 2018-12 | 2018-11 | 2018-10 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| pm25 | 22 (Moderate) | 65 (Unhealthy) | 31 (Moderate) | 36 (Unhealthy for Sensitive Groups) | 90 (Very Unhealthy) | 57 (Unhealthy) | 22 (Moderate) | 25 (Moderate) | 15 (Moderate) | 13 (Moderate) | 18 (Moderate) | 15 (Moderate) | 18 (Moderate) | 28 (Moderate) | 48 (Unhealthy for Sensitive Groups) | 74 (Unhealthy) | 50 (Unhealthy for Sensitive Groups) | 39 (Unhealthy for Sensitive Groups) | 30 (Moderate) | 21 (Moderate) |
| co | 515 (Good) | 744 (Good) | 603 (Good) | 688 (Good) | 496 (Good) | 880 (Good) | 647 (Good) | 740 (Good) | 608 (Good) | 663 (Good) | 628 (Good) | 456 (Good) | 473 (Good) | 633 (Good) | 742 (Good) | 777 (Good) | 814 (Good) | 616 (Good) | 702 (Good) | 590 (Good) |
| no2 | 16 (Good) | 25 (Good) | 17 (Good) | 16 (Good) | 38 (Good) | 30 (Good) | 22 (Good) | 26 (Good) | 18 (Good) | 13 (Good) | 14 (Good) | 18 (Good) | 13 (Good) | 18 (Good) | 20 (Good) | 22 (Good) | 25 (Good) | 22 (Good) | 24 (Good) | 24 (Good) |
| o3 | 125 (Unhealthy for Sensitive Groups) | 127 (Unhealthy for Sensitive Groups) | 101 (Moderate) | 90 (Moderate) | 93 (Moderate) | 65 (Good) | 57 (Good) | 88 (Moderate) | 98 (Moderate) | 83 (Moderate) | 128 (Unhealthy for Sensitive Groups) | 125 (Unhealthy for Sensitive Groups) | 136 (Unhealthy for Sensitive Groups) | 119 (Moderate) | 105 (Moderate) | 89 (Moderate) | 62 (Good) | 56 (Good) | 64 (Good) | 72 (Moderate) |
| pm10 | 53 (Unhealthy for Sensitive Groups) | 97 (Unhealthy) | 60 (Unhealthy for Sensitive Groups) | 49 (Moderate) | 113 (Very Unhealthy) | 77 (Unhealthy for Sensitive Groups) | 41 (Moderate) | 53 (Unhealthy for Sensitive Groups) | 32 (Moderate) | 21 (Moderate) | 31 (Moderate) | 29 (Moderate) | 62 (Unhealthy for Sensitive Groups) | 103 (Unhealthy) | 82 (Unhealthy) | 89 (Unhealthy) | 76 (Unhealthy for Sensitive Groups) | 61 (Unhealthy for Sensitive Groups) | 60 (Unhealthy for Sensitive Groups) | 42 (Moderate) |
| so2 | 9.2 (Good) | 11 (Good) | 8.4 (Good) | 12 (Good) | 23 (Good) | 15 (Good) | 8.3 (Good) | 9 (Good) | 5.2 (Good) | 5.3 (Good) | 4.7 (Good) | 5.3 (Good) | 6.5 (Good) | 7.3 (Good) | 11 (Good) | 16 (Good) | 14 (Good) | 11 (Good) | 12 (Good) | 6.6 (Good) |
PM10 6.7 (gut)
Feinstaub (PM10) SchwebestaubPM2,5 1.7 (gut)
Feinstaub (PM2,5)CO 100 (gut)
Kohlenmonoxid (CO)NO2 7.6 (gut)
Stickstoffdioxid (NO2)O3 0.02 (gut)
Ozon (O3)SO2 8.6 (gut)
Schwefeldioxid (SO2)PM10 6.7 (gut)
Feinstaub (PM10) SchwebestaubPM2,5 1.7 (gut)
Feinstaub (PM2,5)CO 100 (gut)
Kohlenmonoxid (CO)NO2 7.6 (gut)
Stickstoffdioxid (NO2)O3 0.02 (gut)
Ozon (O3)SO2 8.6 (gut)
Schwefeldioxid (SO2)哈达湾
| index | 2022-05-27 |
|---|---|
| pm10 | 32 |
| pm25 | 24 |
| co | 468 |
| no2 | 21 |
| o3 | 32 |
| so2 | 4.6 |
江北
| index | 2022-05-27 |
|---|---|
| pm10 | 32 |
| pm25 | 24 |
| co | 468 |
| no2 | 21 |
| o3 | 32 |
| so2 | 4.6 |
哈达湾
| index | 2020-05 | 2020-04 | 2020-03 | 2020-02 | 2020-01 | 2019-12 | 2019-11 | 2019-10 | 2019-09 | 2019-08 | 2019-07 | 2019-06 | 2019-05 | 2019-04 | 2019-03 | 2019-02 | 2019-01 | 2018-12 | 2018-11 | 2018-10 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| pm25 | 30 | 77 | 35 | 39 | 102 | 56 | 25 | 26 | 17 | 16 | 20 | 20 | 20 | 31 | 59 | 74 | 55 | 47 | 33 | 22 |
| co | 662 | 912 | 742 | 809 | 1 | 922 | 714 | 808 | 697 | 759 | 675 | 544 | 583 | 730 | 837 | 926 | 995 | 769 | 893 | 694 |
| no2 | 20 | 28 | 18 | 17 | 42 | 34 | 27 | 29 | 24 | 16 | 17 | 24 | 17 | 24 | 26 | 28 | 32 | 25 | 29 | 29 |
| o3 | 136 | 135 | 103 | 96 | 96 | 73 | 65 | 98 | 106 | 91 | 130 | 135 | 142 | 121 | 112 | 98 | 63 | 58 | 69 | 74 |
| pm10 | 62 | 111 | 60 | 53 | 130 | 75 | 47 | 53 | 36 | 24 | 33 | 35 | 49 | 80 | 92 | 100 | 88 | 73 | 55 | 44 |
| so2 | 15 | 16 | 13 | 17 | 31 | 20 | 13 | 12 | 8.2 | 8.1 | 6.5 | 8 | 9.4 | 10 | 13 | 20 | 18 | 14 | 18 | 10 |
江北
| index | 2020-05 | 2020-04 | 2020-03 | 2020-02 | 2020-01 | 2019-12 | 2019-11 | 2019-10 | 2019-09 | 2019-08 | 2019-07 | 2019-06 | 2019-05 | 2019-04 | 2019-03 | 2019-02 | 2019-01 | 2018-12 | 2018-11 | 2018-10 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| pm25 | 14 | 54 | 27 | 33 | 77 | 59 | 20 | 24 | 13 | 10 | 16 | 9.9 | 17 | 26 | 37 | 74 | 45 | 31 | 28 | 20 |
| co | 368 | 575 | 464 | 566 | 990 | 838 | 579 | 671 | 519 | 566 | 581 | 368 | 363 | 535 | 646 | 628 | 632 | 463 | 511 | 486 |
| no2 | 13 | 22 | 16 | 14 | 33 | 27 | 17 | 23 | 13 | 10 | 12 | 11 | 8.9 | 12 | 14 | 16 | 18 | 18 | 18 | 18 |
| o3 | 114 | 118 | 100 | 85 | 89 | 57 | 49 | 78 | 89 | 75 | 125 | 115 | 130 | 116 | 98 | 80 | 61 | 55 | 59 | 70 |
| pm10 | 44 | 84 | 59 | 45 | 96 | 80 | 35 | 54 | 27 | 18 | 28 | 24 | 76 | 126 | 72 | 79 | 64 | 49 | 64 | 40 |
| so2 | 3.5 | 5 | 4.3 | 6.9 | 14 | 10 | 3.2 | 5.8 | 2.1 | 2.4 | 2.9 | 2.5 | 3.6 | 4.4 | 9.3 | 11 | 10 | 7.5 | 6.9 | 3.3 |