Luftverschmutzung in Baiyin District: Echtzeit-Luft-Qualitätsindex und Smog-Alarm.
Für die Baiyin District. Heute ist Samstag, 5. April 2025. Für Baiyin District 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 Baiyin District heute? Ist die Luft in Baiyin District? verschmutzt. Gibt es Smog?
Wie hoch ist der PM10-Stand heute in Baiyin District? (Feinstaub (PM10) Schwebestaub)
Der aktuelle Feinstaubgehalt PM10 in Baiyin District is:
7 (gut)
Die höchsten PM10-Werte treten in der Regel im Monat auf: 164 (November 2018).
Der niedrigste Wert der Feinstaub-PM10-Belastung in Baiyin District ist in der Regel in: August (44).
Wie hoch ist der aktuelle PM2,5-Wert in Baiyin District? (Feinstaub (PM2,5))
Die heutige PM2.5-Stufe ist:
2 (gut)
Zum Vergleich: Der höchste PM2,5-Wert in Baiyin District 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: 60 (November 2018).
Die niedrigste Feinstaubbelastung PM2,5 tritt im Monat auf: August (16).
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 Baiyin District? (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 Baiyin District
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 Baiyin District 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
35 (Unhealthy for Sensitive Groups)
27 (Moderate)
30 (Moderate)
31 (Moderate)
53 (Unhealthy for Sensitive Groups)
47 (Unhealthy for Sensitive Groups)
32 (Moderate)
24 (Moderate)
18 (Moderate)
16 (Moderate)
17 (Moderate)
18 (Moderate)
54 (Unhealthy for Sensitive Groups)
32 (Moderate)
34 (Moderate)
36 (Unhealthy for Sensitive Groups)
44 (Unhealthy for Sensitive Groups)
50 (Unhealthy for Sensitive Groups)
60 (Unhealthy)
28 (Moderate)
co
688 (Good)
671 (Good)
755 (Good)
773 (Good)
1 (Good)
1 (Good)
792 (Good)
833 (Good)
820 (Good)
621 (Good)
507 (Good)
531 (Good)
601 (Good)
599 (Good)
620 (Good)
757 (Good)
428 (Good)
1 (Good)
1 (Good)
903 (Good)
no2
21 (Good)
23 (Good)
19 (Good)
15 (Good)
31 (Good)
41 (Moderate)
36 (Good)
34 (Good)
32 (Good)
25 (Good)
23 (Good)
21 (Good)
19 (Good)
21 (Good)
24 (Good)
17 (Good)
31 (Good)
33 (Good)
34 (Good)
30 (Good)
o3
120 (Moderate)
107 (Moderate)
95 (Moderate)
88 (Moderate)
75 (Moderate)
63 (Good)
74 (Moderate)
75 (Moderate)
107 (Moderate)
118 (Moderate)
124 (Unhealthy for Sensitive Groups)
113 (Moderate)
115 (Moderate)
119 (Moderate)
106 (Moderate)
93 (Moderate)
78 (Moderate)
68 (Good)
80 (Moderate)
87 (Moderate)
pm10
123 (Very Unhealthy)
99 (Unhealthy)
106 (Unhealthy)
87 (Unhealthy)
74 (Unhealthy for Sensitive Groups)
83 (Unhealthy)
77 (Unhealthy for Sensitive Groups)
62 (Unhealthy for Sensitive Groups)
50 (Unhealthy for Sensitive Groups)
44 (Moderate)
56 (Unhealthy for Sensitive Groups)
45 (Moderate)
158 (Very bad Hazardous)
91 (Unhealthy)
87 (Unhealthy)
82 (Unhealthy)
74 (Unhealthy for Sensitive Groups)
109 (Unhealthy)
164 (Very bad Hazardous)
77 (Unhealthy for Sensitive Groups)
so2
36 (Good)
31 (Good)
34 (Good)
31 (Good)
51 (Moderate)
47 (Good)
44 (Good)
32 (Good)
42 (Good)
30 (Good)
23 (Good)
30 (Good)
30 (Good)
38 (Good)
51 (Moderate)
60 (Moderate)
56 (Moderate)
70 (Moderate)
51 (Moderate)
41 (Good)
data source »
动力公司
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)
豫源饭店
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)
动力公司
index
2022-05-27
pm10
32
pm25
24
co
468
no2
21
o3
32
so2
4.6
豫源饭店
index
2022-05-27
pm10
32
pm25
24
co
468
no2
21
o3
32
so2
4.6
动力公司
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
33
26
29
31
49
44
31
22
16
14
16
18
50
31
33
32
40
45
56
27
co
711
676
703
719
1
1
711
722
799
636
463
500
537
535
544
675
855
1
1
838
no2
20
20
17
12
21
35
29
25
25
20
19
20
16
18
20
15
25
29
28
26
o3
125
103
96
88
76
67
77
78
112
126
128
116
117
121
110
94
84
70
81
87
pm10
107
94
99
81
70
78
71
54
45
43
63
45
153
86
87
81
71
105
163
71
so2
23
22
23
23
34
37
31
21
29
24
18
21
18
25
34
34
39
48
33
26
豫源饭店
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
37
28
32
32
57
51
34
26
21
18
19
19
59
33
36
39
48
54
64
29
co
665
665
806
827
1
1
872
943
841
606
550
562
665
662
695
838
1
1
1
968
no2
23
25
21
17
41
47
42
43
39
30
28
22
21
24
27
20
37
36
40
34
o3
114
110
95
87
73
60
70
72
101
110
120
110
112
117
101
92
72
66
78
87
pm10
138
105
113
94
77
88
84
70
55
45
50
46
162
96
88
84
77
112
165
83
so2
49
40
44
38
67
57
58
43
55
36
27
39
42
51
68
86
74
92
68
56
* 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 Baiyin District
| 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 | 35 (Unhealthy for Sensitive Groups) | 27 (Moderate) | 30 (Moderate) | 31 (Moderate) | 53 (Unhealthy for Sensitive Groups) | 47 (Unhealthy for Sensitive Groups) | 32 (Moderate) | 24 (Moderate) | 18 (Moderate) | 16 (Moderate) | 17 (Moderate) | 18 (Moderate) | 54 (Unhealthy for Sensitive Groups) | 32 (Moderate) | 34 (Moderate) | 36 (Unhealthy for Sensitive Groups) | 44 (Unhealthy for Sensitive Groups) | 50 (Unhealthy for Sensitive Groups) | 60 (Unhealthy) | 28 (Moderate) |
| co | 688 (Good) | 671 (Good) | 755 (Good) | 773 (Good) | 1 (Good) | 1 (Good) | 792 (Good) | 833 (Good) | 820 (Good) | 621 (Good) | 507 (Good) | 531 (Good) | 601 (Good) | 599 (Good) | 620 (Good) | 757 (Good) | 428 (Good) | 1 (Good) | 1 (Good) | 903 (Good) |
| no2 | 21 (Good) | 23 (Good) | 19 (Good) | 15 (Good) | 31 (Good) | 41 (Moderate) | 36 (Good) | 34 (Good) | 32 (Good) | 25 (Good) | 23 (Good) | 21 (Good) | 19 (Good) | 21 (Good) | 24 (Good) | 17 (Good) | 31 (Good) | 33 (Good) | 34 (Good) | 30 (Good) |
| o3 | 120 (Moderate) | 107 (Moderate) | 95 (Moderate) | 88 (Moderate) | 75 (Moderate) | 63 (Good) | 74 (Moderate) | 75 (Moderate) | 107 (Moderate) | 118 (Moderate) | 124 (Unhealthy for Sensitive Groups) | 113 (Moderate) | 115 (Moderate) | 119 (Moderate) | 106 (Moderate) | 93 (Moderate) | 78 (Moderate) | 68 (Good) | 80 (Moderate) | 87 (Moderate) |
| pm10 | 123 (Very Unhealthy) | 99 (Unhealthy) | 106 (Unhealthy) | 87 (Unhealthy) | 74 (Unhealthy for Sensitive Groups) | 83 (Unhealthy) | 77 (Unhealthy for Sensitive Groups) | 62 (Unhealthy for Sensitive Groups) | 50 (Unhealthy for Sensitive Groups) | 44 (Moderate) | 56 (Unhealthy for Sensitive Groups) | 45 (Moderate) | 158 (Very bad Hazardous) | 91 (Unhealthy) | 87 (Unhealthy) | 82 (Unhealthy) | 74 (Unhealthy for Sensitive Groups) | 109 (Unhealthy) | 164 (Very bad Hazardous) | 77 (Unhealthy for Sensitive Groups) |
| so2 | 36 (Good) | 31 (Good) | 34 (Good) | 31 (Good) | 51 (Moderate) | 47 (Good) | 44 (Good) | 32 (Good) | 42 (Good) | 30 (Good) | 23 (Good) | 30 (Good) | 30 (Good) | 38 (Good) | 51 (Moderate) | 60 (Moderate) | 56 (Moderate) | 70 (Moderate) | 51 (Moderate) | 41 (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)动力公司
| index | 2022-05-27 |
|---|---|
| pm10 | 32 |
| pm25 | 24 |
| co | 468 |
| no2 | 21 |
| o3 | 32 |
| so2 | 4.6 |
豫源饭店
| index | 2022-05-27 |
|---|---|
| pm10 | 32 |
| pm25 | 24 |
| co | 468 |
| no2 | 21 |
| o3 | 32 |
| so2 | 4.6 |
动力公司
| 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 | 33 | 26 | 29 | 31 | 49 | 44 | 31 | 22 | 16 | 14 | 16 | 18 | 50 | 31 | 33 | 32 | 40 | 45 | 56 | 27 |
| co | 711 | 676 | 703 | 719 | 1 | 1 | 711 | 722 | 799 | 636 | 463 | 500 | 537 | 535 | 544 | 675 | 855 | 1 | 1 | 838 |
| no2 | 20 | 20 | 17 | 12 | 21 | 35 | 29 | 25 | 25 | 20 | 19 | 20 | 16 | 18 | 20 | 15 | 25 | 29 | 28 | 26 |
| o3 | 125 | 103 | 96 | 88 | 76 | 67 | 77 | 78 | 112 | 126 | 128 | 116 | 117 | 121 | 110 | 94 | 84 | 70 | 81 | 87 |
| pm10 | 107 | 94 | 99 | 81 | 70 | 78 | 71 | 54 | 45 | 43 | 63 | 45 | 153 | 86 | 87 | 81 | 71 | 105 | 163 | 71 |
| so2 | 23 | 22 | 23 | 23 | 34 | 37 | 31 | 21 | 29 | 24 | 18 | 21 | 18 | 25 | 34 | 34 | 39 | 48 | 33 | 26 |
豫源饭店
| 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 | 37 | 28 | 32 | 32 | 57 | 51 | 34 | 26 | 21 | 18 | 19 | 19 | 59 | 33 | 36 | 39 | 48 | 54 | 64 | 29 |
| co | 665 | 665 | 806 | 827 | 1 | 1 | 872 | 943 | 841 | 606 | 550 | 562 | 665 | 662 | 695 | 838 | 1 | 1 | 1 | 968 |
| no2 | 23 | 25 | 21 | 17 | 41 | 47 | 42 | 43 | 39 | 30 | 28 | 22 | 21 | 24 | 27 | 20 | 37 | 36 | 40 | 34 |
| o3 | 114 | 110 | 95 | 87 | 73 | 60 | 70 | 72 | 101 | 110 | 120 | 110 | 112 | 117 | 101 | 92 | 72 | 66 | 78 | 87 |
| pm10 | 138 | 105 | 113 | 94 | 77 | 88 | 84 | 70 | 55 | 45 | 50 | 46 | 162 | 96 | 88 | 84 | 77 | 112 | 165 | 83 |
| so2 | 49 | 40 | 44 | 38 | 67 | 57 | 58 | 43 | 55 | 36 | 27 | 39 | 42 | 51 | 68 | 86 | 74 | 92 | 68 | 56 |