Air Pollution in Baotou: Real-time Air Quality Index and smog alert.
Pollution and air quality forecast for Baotou. Today is Friday, May 3, 2024. The following air pollution values have been recorded for Baotou:- 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 Baotou today? Is the air polluted in Baotou?. Is there smog?
What is the level of PM10 today in Baotou? (particulate matter (PM10) suspended dust)
The current level of particulate matter PM10 in Baotou is:
7 (Good)
The highest PM10 values usually occur in month: 198 (January 2020).
The lowest value of particulate matter PM10 pollution in Baotou is usually recorded in: August (38).
What is the current level of PM2.5 in Baotou? (particulate matter (PM2.5) dust)
Today's PM2.5 level is:
2 (Good)
For comparison, the highest level of PM2.5 in Baotou 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: 160 (January 2020).
The lowest level of particulate matter PM2.5 pollution occurs in month: August (18).
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 Baotou? (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 Baotou
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 Baotou 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
37 (Unhealthy for Sensitive Groups)
27 (Moderate)
34 (Moderate)
63 (Unhealthy)
160 (Very bad Hazardous)
83 (Very Unhealthy)
47 (Unhealthy for Sensitive Groups)
39 (Unhealthy for Sensitive Groups)
24 (Moderate)
18 (Moderate)
24 (Moderate)
23 (Moderate)
35 (Unhealthy for Sensitive Groups)
32 (Moderate)
46 (Unhealthy for Sensitive Groups)
52 (Unhealthy for Sensitive Groups)
53 (Unhealthy for Sensitive Groups)
48 (Unhealthy for Sensitive Groups)
55 (Unhealthy for Sensitive Groups)
44 (Unhealthy for Sensitive Groups)
co
842 (Good)
559 (Good)
317 (Good)
1 (Good)
2.8 (Good)
2 (Good)
1 (Good)
476 (Good)
610 (Good)
532 (Good)
849 (Good)
804 (Good)
741 (Good)
719 (Good)
1 (Good)
1 (Good)
1 (Good)
1 (Good)
1 (Good)
1 (Good)
no2
30 (Good)
34 (Good)
35 (Good)
41 (Moderate)
78 (Moderate)
63 (Moderate)
48 (Moderate)
43 (Moderate)
44 (Moderate)
27 (Good)
31 (Good)
32 (Good)
34 (Good)
34 (Good)
41 (Moderate)
38 (Good)
48 (Moderate)
44 (Moderate)
53 (Moderate)
44 (Moderate)
o3
122 (Unhealthy for Sensitive Groups)
116 (Moderate)
93 (Moderate)
89 (Moderate)
55 (Good)
47 (Good)
62 (Good)
86 (Moderate)
127 (Unhealthy for Sensitive Groups)
122 (Unhealthy for Sensitive Groups)
149 (Unhealthy for Sensitive Groups)
150 (Unhealthy)
132 (Unhealthy for Sensitive Groups)
119 (Moderate)
101 (Moderate)
81 (Moderate)
61 (Good)
52 (Good)
61 (Good)
77 (Moderate)
pm10
137 (Very Unhealthy)
80 (Unhealthy for Sensitive Groups)
87 (Unhealthy)
112 (Very Unhealthy)
198 (Very bad Hazardous)
122 (Very Unhealthy)
109 (Unhealthy)
95 (Unhealthy)
52 (Unhealthy for Sensitive Groups)
38 (Moderate)
48 (Moderate)
51 (Unhealthy for Sensitive Groups)
103 (Unhealthy)
98 (Unhealthy)
91 (Unhealthy)
104 (Unhealthy)
93 (Unhealthy)
109 (Unhealthy)
118 (Very Unhealthy)
90 (Unhealthy)
so2
17 (Good)
16 (Good)
22 (Good)
30 (Good)
48 (Good)
38 (Good)
28 (Good)
23 (Good)
18 (Good)
14 (Good)
14 (Good)
15 (Good)
19 (Good)
18 (Good)
24 (Good)
33 (Good)
39 (Good)
36 (Good)
37 (Good)
25 (Good)
data source »
Quality of life in Baotou
Green and Parks in the City
Baotou
92%
Mongolia: 27%
Bhutan: 82%
Hong Kong: 52%
Myanmar: 33%
particulate matter PM2.5
Baotou
47 (Unhealthy for Sensitive Groups)
Pleasure of spending time in the city
Baotou
50%
Mongolia: 22%
Bhutan: 61%
Hong Kong: 43%
Myanmar: 24%
particulate matter PM10
Baotou
110 (Unhealthy)
Air Pollution
Baotou
71%
Mongolia: 87%
Bhutan: 45%
Hong Kong: 67%
Myanmar: 83%
Garbage Disposal
Baotou
67%
Mongolia: 27%
Bhutan: 47%
Hong Kong: 52%
Myanmar: 12%
Availability and quality of drinking water
Baotou
75%
Mongolia: 46%
Bhutan: 64%
Hong Kong: 66%
Myanmar: 34%
Cleanliness and tidiness
Baotou
92%
Mongolia: 29%
Bhutan: 57%
Hong Kong: 54%
Myanmar: 18%
Noise and Light pollution
Baotou
25%
Mongolia: 48%
Bhutan: 55%
Hong Kong: 66%
Myanmar: 52%
Water Pollution
Baotou
33%
Mongolia: 68%
Bhutan: 56%
Hong Kong: 53%
Myanmar: 74%
Source: Numbeo
东河城环局
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)
惠龙物流
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)
昆区政府(启用200107)
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)
青山宾馆
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)
东河城环局
index
2022-05-27
pm10
32
pm25
24
co
468
no2
21
o3
32
so2
4.6
惠龙物流
index
2022-05-27
pm10
32
pm25
24
co
468
no2
21
o3
32
so2
4.6
昆区政府(启用200107)
index
2022-05-27
pm10
32
pm25
24
co
468
no2
21
o3
32
so2
4.6
青山宾馆
index
2022-05-27
pm10
32
pm25
24
co
468
no2
21
o3
32
so2
4.6
东河城环局
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
45
33
35
68
187
93
57
49
27
21
26
22
34
33
53
65
65
52
58
47
co
899
1
1
1
3
2
1
1
1
1
983
794
701
770
1
1
1
1
1
1
no2
29
38
34
43
79
61
47
41
47
30
35
31
36
37
49
46
52
44
55
46
o3
127
119
94
93
60
46
61
89
124
122
147
150
133
121
107
85
61
54
63
81
pm10
149
104
102
132
243
144
126
120
70
53
56
56
115
114
117
130
125
130
143
108
so2
21
20
26
32
54
40
32
26
23
17
13
15
19
21
26
37
40
36
39
27
包百大楼
2018-10 2020-01
index
2020-01
2019-12
2019-11
2019-10
2019-09
2019-08
2019-03
2019-02
2019-01
2018-12
2018-11
2018-10
pm25
106
73
39
33
22
15
49
54
53
51
59
45
co
3
2
1
1
882
719
1
1
1
1
1
1
no2
76
60
48
41
38
27
34
33
44
44
54
44
o3
42
47
59
82
126
123
97
75
56
52
59
73
pm10
137
112
96
87
45
34
81
100
79
105
112
83
so2
46
43
31
23
16
15
23
35
41
39
41
27
惠龙物流
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
34
25
30
56
163
71
40
36
22
16
22
22
34
30
41
43
44
40
44
36
co
882
802
950
1
2
2
1
902
716
677
698
670
736
654
1
1
1
1
1
1
no2
32
32
35
40
79
63
49
45
44
30
32
33
35
31
41
39
49
44
55
43
o3
125
116
92
90
59
48
63
91
129
126
154
159
135
121
102
81
62
52
64
80
pm10
134
69
78
109
220
111
98
91
49
34
48
53
105
96
93
106
88
102
109
86
so2
18
16
23
31
53
35
24
22
17
15
17
18
20
18
26
30
39
36
39
25
青山宾馆
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
34
24
36
65
182
93
51
38
25
19
25
26
37
32
40
45
51
49
57
48
co
746
875
1
1
3
2
1
999
839
732
865
949
787
733
1
1
1
1
1
1
no2
30
33
35
40
79
67
47
46
47
21
25
33
32
32
38
35
47
43
48
42
o3
115
113
93
83
59
48
63
84
129
118
146
141
127
116
100
83
65
51
57
76
pm10
128
67
82
96
191
119
115
82
46
33
41
43
89
85
72
80
78
99
106
84
so2
13
13
16
26
38
32
25
20
15
10
13
14
18
15
23
31
35
32
30
20
* 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 Baotou
| 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 | 37 (Unhealthy for Sensitive Groups) | 27 (Moderate) | 34 (Moderate) | 63 (Unhealthy) | 160 (Very bad Hazardous) | 83 (Very Unhealthy) | 47 (Unhealthy for Sensitive Groups) | 39 (Unhealthy for Sensitive Groups) | 24 (Moderate) | 18 (Moderate) | 24 (Moderate) | 23 (Moderate) | 35 (Unhealthy for Sensitive Groups) | 32 (Moderate) | 46 (Unhealthy for Sensitive Groups) | 52 (Unhealthy for Sensitive Groups) | 53 (Unhealthy for Sensitive Groups) | 48 (Unhealthy for Sensitive Groups) | 55 (Unhealthy for Sensitive Groups) | 44 (Unhealthy for Sensitive Groups) |
| co | 842 (Good) | 559 (Good) | 317 (Good) | 1 (Good) | 2.8 (Good) | 2 (Good) | 1 (Good) | 476 (Good) | 610 (Good) | 532 (Good) | 849 (Good) | 804 (Good) | 741 (Good) | 719 (Good) | 1 (Good) | 1 (Good) | 1 (Good) | 1 (Good) | 1 (Good) | 1 (Good) |
| no2 | 30 (Good) | 34 (Good) | 35 (Good) | 41 (Moderate) | 78 (Moderate) | 63 (Moderate) | 48 (Moderate) | 43 (Moderate) | 44 (Moderate) | 27 (Good) | 31 (Good) | 32 (Good) | 34 (Good) | 34 (Good) | 41 (Moderate) | 38 (Good) | 48 (Moderate) | 44 (Moderate) | 53 (Moderate) | 44 (Moderate) |
| o3 | 122 (Unhealthy for Sensitive Groups) | 116 (Moderate) | 93 (Moderate) | 89 (Moderate) | 55 (Good) | 47 (Good) | 62 (Good) | 86 (Moderate) | 127 (Unhealthy for Sensitive Groups) | 122 (Unhealthy for Sensitive Groups) | 149 (Unhealthy for Sensitive Groups) | 150 (Unhealthy) | 132 (Unhealthy for Sensitive Groups) | 119 (Moderate) | 101 (Moderate) | 81 (Moderate) | 61 (Good) | 52 (Good) | 61 (Good) | 77 (Moderate) |
| pm10 | 137 (Very Unhealthy) | 80 (Unhealthy for Sensitive Groups) | 87 (Unhealthy) | 112 (Very Unhealthy) | 198 (Very bad Hazardous) | 122 (Very Unhealthy) | 109 (Unhealthy) | 95 (Unhealthy) | 52 (Unhealthy for Sensitive Groups) | 38 (Moderate) | 48 (Moderate) | 51 (Unhealthy for Sensitive Groups) | 103 (Unhealthy) | 98 (Unhealthy) | 91 (Unhealthy) | 104 (Unhealthy) | 93 (Unhealthy) | 109 (Unhealthy) | 118 (Very Unhealthy) | 90 (Unhealthy) |
| so2 | 17 (Good) | 16 (Good) | 22 (Good) | 30 (Good) | 48 (Good) | 38 (Good) | 28 (Good) | 23 (Good) | 18 (Good) | 14 (Good) | 14 (Good) | 15 (Good) | 19 (Good) | 18 (Good) | 24 (Good) | 33 (Good) | 39 (Good) | 36 (Good) | 37 (Good) | 25 (Good) |
Green and Parks in the City
Baotou 92%
Mongolia: 27% Bhutan: 82% Hong Kong: 52% Myanmar: 33%particulate matter PM2.5
Baotou 47 (Unhealthy for Sensitive Groups)
Pleasure of spending time in the city
Baotou 50%
Mongolia: 22% Bhutan: 61% Hong Kong: 43% Myanmar: 24%particulate matter PM10
Baotou 110 (Unhealthy)
Air Pollution
Baotou 71%
Mongolia: 87% Bhutan: 45% Hong Kong: 67% Myanmar: 83%Garbage Disposal
Baotou 67%
Mongolia: 27% Bhutan: 47% Hong Kong: 52% Myanmar: 12%Availability and quality of drinking water
Baotou 75%
Mongolia: 46% Bhutan: 64% Hong Kong: 66% Myanmar: 34%Cleanliness and tidiness
Baotou 92%
Mongolia: 29% Bhutan: 57% Hong Kong: 54% Myanmar: 18%Noise and Light pollution
Baotou 25%
Mongolia: 48% Bhutan: 55% Hong Kong: 66% Myanmar: 52%Water Pollution
Baotou 33%
Mongolia: 68% Bhutan: 56% Hong Kong: 53% Myanmar: 74%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)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)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)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)东河城环局
| index | 2022-05-27 |
|---|---|
| pm10 | 32 |
| pm25 | 24 |
| co | 468 |
| no2 | 21 |
| o3 | 32 |
| so2 | 4.6 |
惠龙物流
| index | 2022-05-27 |
|---|---|
| pm10 | 32 |
| pm25 | 24 |
| co | 468 |
| no2 | 21 |
| o3 | 32 |
| so2 | 4.6 |
昆区政府(启用200107)
| index | 2022-05-27 |
|---|---|
| pm10 | 32 |
| pm25 | 24 |
| co | 468 |
| no2 | 21 |
| o3 | 32 |
| so2 | 4.6 |
青山宾馆
| index | 2022-05-27 |
|---|---|
| pm10 | 32 |
| pm25 | 24 |
| co | 468 |
| no2 | 21 |
| o3 | 32 |
| so2 | 4.6 |
东河城环局
| 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 | 45 | 33 | 35 | 68 | 187 | 93 | 57 | 49 | 27 | 21 | 26 | 22 | 34 | 33 | 53 | 65 | 65 | 52 | 58 | 47 |
| co | 899 | 1 | 1 | 1 | 3 | 2 | 1 | 1 | 1 | 1 | 983 | 794 | 701 | 770 | 1 | 1 | 1 | 1 | 1 | 1 |
| no2 | 29 | 38 | 34 | 43 | 79 | 61 | 47 | 41 | 47 | 30 | 35 | 31 | 36 | 37 | 49 | 46 | 52 | 44 | 55 | 46 |
| o3 | 127 | 119 | 94 | 93 | 60 | 46 | 61 | 89 | 124 | 122 | 147 | 150 | 133 | 121 | 107 | 85 | 61 | 54 | 63 | 81 |
| pm10 | 149 | 104 | 102 | 132 | 243 | 144 | 126 | 120 | 70 | 53 | 56 | 56 | 115 | 114 | 117 | 130 | 125 | 130 | 143 | 108 |
| so2 | 21 | 20 | 26 | 32 | 54 | 40 | 32 | 26 | 23 | 17 | 13 | 15 | 19 | 21 | 26 | 37 | 40 | 36 | 39 | 27 |
包百大楼
| index | 2020-01 | 2019-12 | 2019-11 | 2019-10 | 2019-09 | 2019-08 | 2019-03 | 2019-02 | 2019-01 | 2018-12 | 2018-11 | 2018-10 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| pm25 | 106 | 73 | 39 | 33 | 22 | 15 | 49 | 54 | 53 | 51 | 59 | 45 |
| co | 3 | 2 | 1 | 1 | 882 | 719 | 1 | 1 | 1 | 1 | 1 | 1 |
| no2 | 76 | 60 | 48 | 41 | 38 | 27 | 34 | 33 | 44 | 44 | 54 | 44 |
| o3 | 42 | 47 | 59 | 82 | 126 | 123 | 97 | 75 | 56 | 52 | 59 | 73 |
| pm10 | 137 | 112 | 96 | 87 | 45 | 34 | 81 | 100 | 79 | 105 | 112 | 83 |
| so2 | 46 | 43 | 31 | 23 | 16 | 15 | 23 | 35 | 41 | 39 | 41 | 27 |
惠龙物流
| 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 | 34 | 25 | 30 | 56 | 163 | 71 | 40 | 36 | 22 | 16 | 22 | 22 | 34 | 30 | 41 | 43 | 44 | 40 | 44 | 36 |
| co | 882 | 802 | 950 | 1 | 2 | 2 | 1 | 902 | 716 | 677 | 698 | 670 | 736 | 654 | 1 | 1 | 1 | 1 | 1 | 1 |
| no2 | 32 | 32 | 35 | 40 | 79 | 63 | 49 | 45 | 44 | 30 | 32 | 33 | 35 | 31 | 41 | 39 | 49 | 44 | 55 | 43 |
| o3 | 125 | 116 | 92 | 90 | 59 | 48 | 63 | 91 | 129 | 126 | 154 | 159 | 135 | 121 | 102 | 81 | 62 | 52 | 64 | 80 |
| pm10 | 134 | 69 | 78 | 109 | 220 | 111 | 98 | 91 | 49 | 34 | 48 | 53 | 105 | 96 | 93 | 106 | 88 | 102 | 109 | 86 |
| so2 | 18 | 16 | 23 | 31 | 53 | 35 | 24 | 22 | 17 | 15 | 17 | 18 | 20 | 18 | 26 | 30 | 39 | 36 | 39 | 25 |
青山宾馆
| 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 | 34 | 24 | 36 | 65 | 182 | 93 | 51 | 38 | 25 | 19 | 25 | 26 | 37 | 32 | 40 | 45 | 51 | 49 | 57 | 48 |
| co | 746 | 875 | 1 | 1 | 3 | 2 | 1 | 999 | 839 | 732 | 865 | 949 | 787 | 733 | 1 | 1 | 1 | 1 | 1 | 1 |
| no2 | 30 | 33 | 35 | 40 | 79 | 67 | 47 | 46 | 47 | 21 | 25 | 33 | 32 | 32 | 38 | 35 | 47 | 43 | 48 | 42 |
| o3 | 115 | 113 | 93 | 83 | 59 | 48 | 63 | 84 | 129 | 118 | 146 | 141 | 127 | 116 | 100 | 83 | 65 | 51 | 57 | 76 |
| pm10 | 128 | 67 | 82 | 96 | 191 | 119 | 115 | 82 | 46 | 33 | 41 | 43 | 89 | 85 | 72 | 80 | 78 | 99 | 106 | 84 |
| so2 | 13 | 13 | 16 | 26 | 38 | 32 | 25 | 20 | 15 | 10 | 13 | 14 | 18 | 15 | 23 | 31 | 35 | 32 | 30 | 20 |