Air Pollution in Jiangbeicun: Real-time Air Quality Index and smog alert.
Pollution and air quality forecast for Jiangbeicun. Today is Sunday, May 5, 2024. The following air pollution values have been recorded for Jiangbeicun:- particulate matter (PM10) suspended dust - 7 (Good)
- particulate matter (PM2.5) dust - 2 (Good)
- carbon monoxide (CO) - 100 (Good)
- nitrogen dioxide (NO2) - 8 (Good)
- ozone (O3) - 0 (Good)
- sulfur dioxide (SO2) - 9 (Good)
What is the air quality in Jiangbeicun today? Is the air polluted in Jiangbeicun?. Is there smog?
What is the level of PM10 today in Jiangbeicun? (particulate matter (PM10) suspended dust)
The current level of particulate matter PM10 in Jiangbeicun is:
7 (Good)
The highest PM10 values usually occur in month: 93 (January 2019).
The lowest value of particulate matter PM10 pollution in Jiangbeicun is usually recorded in: August (35).
What is the current level of PM2.5 in Jiangbeicun? (particulate matter (PM2.5) dust)
Today's PM2.5 level is:
2 (Good)
For comparison, the highest level of PM2.5 in Jiangbeicun in the last 7 days was: 24 (Friday, May 27, 2022) and the lowest: 24 (Friday, May 27, 2022).
The highest PM2.5 values were recorded: 61 (January 2020).
The lowest level of particulate matter PM2.5 pollution occurs in month: August (15).
How high is the CO level? (carbon monoxide (CO))
100 (Good)
How high is the level of NO2? (nitrogen dioxide (NO2))
8 (Good)
How is the O3 level today in Jiangbeicun? (ozone (O3))
0 (Good)
What is the level of SO2 pollution? (sulfur dioxide (SO2))
9 (Good)
Current data Friday, May 27, 2022, 12:00 PM
PM10 7 (Good)
PM2,5 2 (Good)
CO 100 (Good)
NO2 8 (Good)
O3 0 (Good)
SO2 9 (Good)
Data on air pollution from recent days in Jiangbeicun
index
2022-05-27
pm10
32
Moderate
pm25
24
Moderate
co
468
Good
no2
21
Good
o3
32
Good
so2
5
Good
data source »
Air pollution in Jiangbeicun from October 2018 to May 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
20 (Moderate)
35 (Moderate)
26 (Moderate)
35 (Moderate)
61 (Unhealthy)
46 (Unhealthy for Sensitive Groups)
31 (Moderate)
24 (Moderate)
16 (Moderate)
15 (Moderate)
19 (Moderate)
16 (Moderate)
20 (Moderate)
25 (Moderate)
35 (Moderate)
48 (Unhealthy for Sensitive Groups)
50 (Unhealthy for Sensitive Groups)
37 (Unhealthy for Sensitive Groups)
32 (Moderate)
25 (Moderate)
co
888 (Good)
1 (Good)
821 (Good)
1 (Good)
1 (Good)
1 (Good)
899 (Good)
716 (Good)
638 (Good)
708 (Good)
636 (Good)
551 (Good)
595 (Good)
887 (Good)
949 (Good)
1 (Good)
1 (Good)
1 (Good)
1 (Good)
904 (Good)
no2
18 (Good)
25 (Good)
18 (Good)
17 (Good)
37 (Good)
37 (Good)
25 (Good)
24 (Good)
17 (Good)
9.4 (Good)
13 (Good)
16 (Good)
19 (Good)
21 (Good)
23 (Good)
14 (Good)
20 (Good)
22 (Good)
27 (Good)
23 (Good)
o3
129 (Unhealthy for Sensitive Groups)
119 (Moderate)
99 (Moderate)
89 (Moderate)
70 (Good)
61 (Good)
65 (Good)
97 (Moderate)
93 (Moderate)
91 (Moderate)
121 (Unhealthy for Sensitive Groups)
125 (Unhealthy for Sensitive Groups)
134 (Unhealthy for Sensitive Groups)
115 (Moderate)
105 (Moderate)
84 (Moderate)
66 (Good)
56 (Good)
69 (Good)
74 (Moderate)
pm10
58 (Unhealthy for Sensitive Groups)
74 (Unhealthy for Sensitive Groups)
53 (Unhealthy for Sensitive Groups)
55 (Unhealthy for Sensitive Groups)
87 (Unhealthy)
69 (Unhealthy for Sensitive Groups)
64 (Unhealthy for Sensitive Groups)
61 (Unhealthy for Sensitive Groups)
47 (Moderate)
35 (Moderate)
40 (Moderate)
38 (Moderate)
57 (Unhealthy for Sensitive Groups)
71 (Unhealthy for Sensitive Groups)
79 (Unhealthy for Sensitive Groups)
80 (Unhealthy for Sensitive Groups)
93 (Unhealthy)
78 (Unhealthy for Sensitive Groups)
72 (Unhealthy for Sensitive Groups)
70 (Unhealthy for Sensitive Groups)
so2
11 (Good)
14 (Good)
18 (Good)
21 (Good)
34 (Good)
27 (Good)
20 (Good)
12 (Good)
8.4 (Good)
9.6 (Good)
8.8 (Good)
9.6 (Good)
15 (Good)
16 (Good)
16 (Good)
20 (Good)
24 (Good)
26 (Good)
26 (Good)
22 (Good)
data source »
喜丰
Friday, May 27, 2022, 12:00 PM
PM10 6.7 (Good)
particulate matter (PM10) suspended dust
PM2,5 1.7 (Good)
particulate matter (PM2.5) dust
CO 100 (Good)
carbon monoxide (CO)
NO2 7.6 (Good)
nitrogen dioxide (NO2)
O3 0.02 (Good)
ozone (O3)
SO2 8.6 (Good)
sulfur dioxide (SO2)
喜丰
index
2022-05-27
pm10
32
pm25
24
co
468
no2
21
o3
32
so2
4.6
喜丰
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
20
35
26
35
61
46
31
24
16
15
19
16
20
25
35
48
50
37
32
25
co
888
1
821
1
1
1
899
716
638
708
636
551
595
887
949
1
1
1
1
904
no2
18
25
18
17
37
37
25
24
17
9.4
13
16
19
21
23
14
20
22
27
23
o3
129
119
99
89
70
61
65
97
93
91
121
125
134
115
105
84
66
56
69
74
pm10
58
74
53
55
87
69
64
61
47
35
40
38
57
71
79
80
93
78
72
70
so2
11
14
18
21
34
27
20
12
8.4
9.6
8.8
9.6
15
16
16
20
24
26
26
22
* Pollution data source:
https://openaq.org
(ChinaAQIData)
The data is licensed under CC-By 4.0
PM10 7 (Good)
PM2,5 2 (Good)
CO 100 (Good)
NO2 8 (Good)
O3 0 (Good)
SO2 9 (Good)
Data on air pollution from recent days in Jiangbeicun
| 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 | 20 (Moderate) | 35 (Moderate) | 26 (Moderate) | 35 (Moderate) | 61 (Unhealthy) | 46 (Unhealthy for Sensitive Groups) | 31 (Moderate) | 24 (Moderate) | 16 (Moderate) | 15 (Moderate) | 19 (Moderate) | 16 (Moderate) | 20 (Moderate) | 25 (Moderate) | 35 (Moderate) | 48 (Unhealthy for Sensitive Groups) | 50 (Unhealthy for Sensitive Groups) | 37 (Unhealthy for Sensitive Groups) | 32 (Moderate) | 25 (Moderate) |
| co | 888 (Good) | 1 (Good) | 821 (Good) | 1 (Good) | 1 (Good) | 1 (Good) | 899 (Good) | 716 (Good) | 638 (Good) | 708 (Good) | 636 (Good) | 551 (Good) | 595 (Good) | 887 (Good) | 949 (Good) | 1 (Good) | 1 (Good) | 1 (Good) | 1 (Good) | 904 (Good) |
| no2 | 18 (Good) | 25 (Good) | 18 (Good) | 17 (Good) | 37 (Good) | 37 (Good) | 25 (Good) | 24 (Good) | 17 (Good) | 9.4 (Good) | 13 (Good) | 16 (Good) | 19 (Good) | 21 (Good) | 23 (Good) | 14 (Good) | 20 (Good) | 22 (Good) | 27 (Good) | 23 (Good) |
| o3 | 129 (Unhealthy for Sensitive Groups) | 119 (Moderate) | 99 (Moderate) | 89 (Moderate) | 70 (Good) | 61 (Good) | 65 (Good) | 97 (Moderate) | 93 (Moderate) | 91 (Moderate) | 121 (Unhealthy for Sensitive Groups) | 125 (Unhealthy for Sensitive Groups) | 134 (Unhealthy for Sensitive Groups) | 115 (Moderate) | 105 (Moderate) | 84 (Moderate) | 66 (Good) | 56 (Good) | 69 (Good) | 74 (Moderate) |
| pm10 | 58 (Unhealthy for Sensitive Groups) | 74 (Unhealthy for Sensitive Groups) | 53 (Unhealthy for Sensitive Groups) | 55 (Unhealthy for Sensitive Groups) | 87 (Unhealthy) | 69 (Unhealthy for Sensitive Groups) | 64 (Unhealthy for Sensitive Groups) | 61 (Unhealthy for Sensitive Groups) | 47 (Moderate) | 35 (Moderate) | 40 (Moderate) | 38 (Moderate) | 57 (Unhealthy for Sensitive Groups) | 71 (Unhealthy for Sensitive Groups) | 79 (Unhealthy for Sensitive Groups) | 80 (Unhealthy for Sensitive Groups) | 93 (Unhealthy) | 78 (Unhealthy for Sensitive Groups) | 72 (Unhealthy for Sensitive Groups) | 70 (Unhealthy for Sensitive Groups) |
| so2 | 11 (Good) | 14 (Good) | 18 (Good) | 21 (Good) | 34 (Good) | 27 (Good) | 20 (Good) | 12 (Good) | 8.4 (Good) | 9.6 (Good) | 8.8 (Good) | 9.6 (Good) | 15 (Good) | 16 (Good) | 16 (Good) | 20 (Good) | 24 (Good) | 26 (Good) | 26 (Good) | 22 (Good) |
PM10 6.7 (Good)
particulate matter (PM10) suspended dustPM2,5 1.7 (Good)
particulate matter (PM2.5) dustCO 100 (Good)
carbon monoxide (CO)NO2 7.6 (Good)
nitrogen dioxide (NO2)O3 0.02 (Good)
ozone (O3)SO2 8.6 (Good)
sulfur dioxide (SO2)喜丰
| index | 2022-05-27 |
|---|---|
| pm10 | 32 |
| pm25 | 24 |
| co | 468 |
| no2 | 21 |
| o3 | 32 |
| so2 | 4.6 |
喜丰
| 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 | 20 | 35 | 26 | 35 | 61 | 46 | 31 | 24 | 16 | 15 | 19 | 16 | 20 | 25 | 35 | 48 | 50 | 37 | 32 | 25 |
| co | 888 | 1 | 821 | 1 | 1 | 1 | 899 | 716 | 638 | 708 | 636 | 551 | 595 | 887 | 949 | 1 | 1 | 1 | 1 | 904 |
| no2 | 18 | 25 | 18 | 17 | 37 | 37 | 25 | 24 | 17 | 9.4 | 13 | 16 | 19 | 21 | 23 | 14 | 20 | 22 | 27 | 23 |
| o3 | 129 | 119 | 99 | 89 | 70 | 61 | 65 | 97 | 93 | 91 | 121 | 125 | 134 | 115 | 105 | 84 | 66 | 56 | 69 | 74 |
| pm10 | 58 | 74 | 53 | 55 | 87 | 69 | 64 | 61 | 47 | 35 | 40 | 38 | 57 | 71 | 79 | 80 | 93 | 78 | 72 | 70 |
| so2 | 11 | 14 | 18 | 21 | 34 | 27 | 20 | 12 | 8.4 | 9.6 | 8.8 | 9.6 | 15 | 16 | 16 | 20 | 24 | 26 | 26 | 22 |