Luftverschmutzung in Shenglilu Jiedao: Echtzeit-Luft-Qualitätsindex und Smog-Alarm.
Für die Shenglilu Jiedao. Heute ist Samstag, 5. April 2025. Für Shenglilu Jiedao 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 Shenglilu Jiedao heute? Ist die Luft in Shenglilu Jiedao? verschmutzt. Gibt es Smog?
Wie hoch ist der PM10-Stand heute in Shenglilu Jiedao? (Feinstaub (PM10) Schwebestaub)
Der aktuelle Feinstaubgehalt PM10 in Shenglilu Jiedao is:
7 (gut)
Die höchsten PM10-Werte treten in der Regel im Monat auf: 216 (Oktober 2018).
Der niedrigste Wert der Feinstaub-PM10-Belastung in Shenglilu Jiedao ist in der Regel in: Dezember (52).
Wie hoch ist der aktuelle PM2,5-Wert in Shenglilu Jiedao? (Feinstaub (PM2,5))
Die heutige PM2.5-Stufe ist:
2 (gut)
Zum Vergleich: Der höchste PM2,5-Wert in Shenglilu Jiedao 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: 58 (Oktober 2018).
Die niedrigste Feinstaubbelastung PM2,5 tritt im Monat auf: Juli (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 Shenglilu Jiedao? (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 Shenglilu Jiedao
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 Shenglilu Jiedao 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
no2
17 (Good)
19 (Good)
14 (Good)
12 (Good)
23 (Good)
26 (Good)
25 (Good)
23 (Good)
22 (Good)
19 (Good)
15 (Good)
14 (Good)
18 (Good)
20 (Good)
21 (Good)
20 (Good)
31 (Good)
26 (Good)
27 (Good)
28 (Good)
o3
114 (Moderate)
114 (Moderate)
103 (Moderate)
94 (Moderate)
80 (Moderate)
77 (Moderate)
89 (Moderate)
90 (Moderate)
114 (Moderate)
130 (Unhealthy for Sensitive Groups)
143 (Unhealthy for Sensitive Groups)
138 (Unhealthy for Sensitive Groups)
132 (Unhealthy for Sensitive Groups)
125 (Unhealthy for Sensitive Groups)
114 (Moderate)
96 (Moderate)
85 (Moderate)
74 (Moderate)
81 (Moderate)
94 (Moderate)
so2
21 (Good)
14 (Good)
17 (Good)
17 (Good)
21 (Good)
15 (Good)
16 (Good)
17 (Good)
12 (Good)
16 (Good)
12 (Good)
11 (Good)
13 (Good)
15 (Good)
15 (Good)
16 (Good)
18 (Good)
14 (Good)
17 (Good)
14 (Good)
pm25
56 (Unhealthy)
40 (Unhealthy for Sensitive Groups)
27 (Moderate)
35 (Unhealthy for Sensitive Groups)
27 (Moderate)
21 (Moderate)
25 (Moderate)
26 (Moderate)
22 (Moderate)
20 (Moderate)
16 (Moderate)
34 (Moderate)
34 (Moderate)
25 (Moderate)
31 (Moderate)
35 (Unhealthy for Sensitive Groups)
35 (Unhealthy for Sensitive Groups)
39 (Unhealthy for Sensitive Groups)
26 (Moderate)
58 (Unhealthy)
pm10
183 (Very bad Hazardous)
142 (Very Unhealthy)
90 (Unhealthy)
121 (Very Unhealthy)
61 (Unhealthy for Sensitive Groups)
52 (Unhealthy for Sensitive Groups)
74 (Unhealthy for Sensitive Groups)
85 (Unhealthy)
65 (Unhealthy for Sensitive Groups)
63 (Unhealthy for Sensitive Groups)
54 (Unhealthy for Sensitive Groups)
110 (Very Unhealthy)
122 (Very Unhealthy)
93 (Unhealthy)
123 (Very Unhealthy)
115 (Very Unhealthy)
68 (Unhealthy for Sensitive Groups)
119 (Very Unhealthy)
97 (Unhealthy)
216 (Very bad Hazardous)
co
619 (Good)
506 (Good)
496 (Good)
549 (Good)
806 (Good)
579 (Good)
569 (Good)
552 (Good)
446 (Good)
597 (Good)
459 (Good)
439 (Good)
561 (Good)
651 (Good)
611 (Good)
714 (Good)
848 (Good)
743 (Good)
611 (Good)
564 (Good)
data source »
酒钢宾馆
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)
酒钢宾馆
index
2022-05-27
pm10
32
pm25
24
co
468
no2
21
o3
32
so2
4.6
酒钢宾馆
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
56
40
27
35
27
21
25
26
22
20
16
34
34
25
31
35
35
39
26
58
co
619
506
496
549
806
579
569
552
446
597
459
439
561
651
611
714
848
743
611
564
no2
17
19
14
12
23
26
25
23
22
19
15
14
18
20
21
20
31
26
27
28
o3
114
114
103
94
80
77
89
90
114
130
143
138
132
125
114
96
85
74
81
94
pm10
183
142
90
121
61
52
74
85
65
63
54
110
122
93
123
115
68
119
97
216
so2
21
14
17
17
21
15
16
17
12
16
12
11
13
15
15
16
18
14
17
14
* 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 Shenglilu Jiedao
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| no2 | 17 (Good) | 19 (Good) | 14 (Good) | 12 (Good) | 23 (Good) | 26 (Good) | 25 (Good) | 23 (Good) | 22 (Good) | 19 (Good) | 15 (Good) | 14 (Good) | 18 (Good) | 20 (Good) | 21 (Good) | 20 (Good) | 31 (Good) | 26 (Good) | 27 (Good) | 28 (Good) |
| o3 | 114 (Moderate) | 114 (Moderate) | 103 (Moderate) | 94 (Moderate) | 80 (Moderate) | 77 (Moderate) | 89 (Moderate) | 90 (Moderate) | 114 (Moderate) | 130 (Unhealthy for Sensitive Groups) | 143 (Unhealthy for Sensitive Groups) | 138 (Unhealthy for Sensitive Groups) | 132 (Unhealthy for Sensitive Groups) | 125 (Unhealthy for Sensitive Groups) | 114 (Moderate) | 96 (Moderate) | 85 (Moderate) | 74 (Moderate) | 81 (Moderate) | 94 (Moderate) |
| so2 | 21 (Good) | 14 (Good) | 17 (Good) | 17 (Good) | 21 (Good) | 15 (Good) | 16 (Good) | 17 (Good) | 12 (Good) | 16 (Good) | 12 (Good) | 11 (Good) | 13 (Good) | 15 (Good) | 15 (Good) | 16 (Good) | 18 (Good) | 14 (Good) | 17 (Good) | 14 (Good) |
| pm25 | 56 (Unhealthy) | 40 (Unhealthy for Sensitive Groups) | 27 (Moderate) | 35 (Unhealthy for Sensitive Groups) | 27 (Moderate) | 21 (Moderate) | 25 (Moderate) | 26 (Moderate) | 22 (Moderate) | 20 (Moderate) | 16 (Moderate) | 34 (Moderate) | 34 (Moderate) | 25 (Moderate) | 31 (Moderate) | 35 (Unhealthy for Sensitive Groups) | 35 (Unhealthy for Sensitive Groups) | 39 (Unhealthy for Sensitive Groups) | 26 (Moderate) | 58 (Unhealthy) |
| pm10 | 183 (Very bad Hazardous) | 142 (Very Unhealthy) | 90 (Unhealthy) | 121 (Very Unhealthy) | 61 (Unhealthy for Sensitive Groups) | 52 (Unhealthy for Sensitive Groups) | 74 (Unhealthy for Sensitive Groups) | 85 (Unhealthy) | 65 (Unhealthy for Sensitive Groups) | 63 (Unhealthy for Sensitive Groups) | 54 (Unhealthy for Sensitive Groups) | 110 (Very Unhealthy) | 122 (Very Unhealthy) | 93 (Unhealthy) | 123 (Very Unhealthy) | 115 (Very Unhealthy) | 68 (Unhealthy for Sensitive Groups) | 119 (Very Unhealthy) | 97 (Unhealthy) | 216 (Very bad Hazardous) |
| co | 619 (Good) | 506 (Good) | 496 (Good) | 549 (Good) | 806 (Good) | 579 (Good) | 569 (Good) | 552 (Good) | 446 (Good) | 597 (Good) | 459 (Good) | 439 (Good) | 561 (Good) | 651 (Good) | 611 (Good) | 714 (Good) | 848 (Good) | 743 (Good) | 611 (Good) | 564 (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)酒钢宾馆
| index | 2022-05-27 |
|---|---|
| pm10 | 32 |
| pm25 | 24 |
| co | 468 |
| no2 | 21 |
| o3 | 32 |
| so2 | 4.6 |
酒钢宾馆
| 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 | 56 | 40 | 27 | 35 | 27 | 21 | 25 | 26 | 22 | 20 | 16 | 34 | 34 | 25 | 31 | 35 | 35 | 39 | 26 | 58 |
| co | 619 | 506 | 496 | 549 | 806 | 579 | 569 | 552 | 446 | 597 | 459 | 439 | 561 | 651 | 611 | 714 | 848 | 743 | 611 | 564 |
| no2 | 17 | 19 | 14 | 12 | 23 | 26 | 25 | 23 | 22 | 19 | 15 | 14 | 18 | 20 | 21 | 20 | 31 | 26 | 27 | 28 |
| o3 | 114 | 114 | 103 | 94 | 80 | 77 | 89 | 90 | 114 | 130 | 143 | 138 | 132 | 125 | 114 | 96 | 85 | 74 | 81 | 94 |
| pm10 | 183 | 142 | 90 | 121 | 61 | 52 | 74 | 85 | 65 | 63 | 54 | 110 | 122 | 93 | 123 | 115 | 68 | 119 | 97 | 216 |
| so2 | 21 | 14 | 17 | 17 | 21 | 15 | 16 | 17 | 12 | 16 | 12 | 11 | 13 | 15 | 15 | 16 | 18 | 14 | 17 | 14 |