空气污染在 Camden ：实时空气质量指数和烟雾警报。
城市污染和空气质量 Camden 。 今天是 2025年5月2日星期五 。 已记录下列空气污染值 Camden ：- 颗粒物(PM10)悬浮尘埃 - 10 (好)
- 尘埃 - 5 (好)
- 二氧化氮（NO2） - 7 (好)
- 二氧化硫 （SO2） - 3 (好)
- 臭氧 （O3） - 68 (好)
今天，美国 Camden 。 空气中的空气是否 Camden ？有烟雾吗？
今天（ 2024年4月16日星期二 ）空气质量良好。
空气质量对健康没有影响。每个人都可以在一个 Camden 。
今天下午的 PM10 Camden ？ (颗粒物(PM10)悬浮尘埃)
目前颗粒物PM10的 Camden ：
10 (好)
最高 PM10 值通常以月份为 33 (2017年1月) 。
颗粒物PM10污染的最低值 Camden 记录为： 八月 (12) 。
目前 PM2.5 的当前 Camden ？ (尘埃)
今天的 PM2.5 级别是：
5 (好)
相比之下，过去 7 天内 PM2.5 Camden 的最高水平是： 7 (2024年4月10日星期三) 和最低： 5 (2024年4月11日星期四) 。
记录的最高 PM2.5 值： 27 (2017年1月) 。
颗粒物PM2.5污染的最低水平发生在月份： 九月 (6.3) 。
NO2 水平有多高？ (二氧化氮（NO2）)
7 (好)
SO2 污染程度如何？ (二氧化硫 （SO2）)
3 (好)
今天 O3 级别在 Camden ？ (臭氧 （O3）)
68 (好)
当前数据 2024年4月16日星期二 上午1:00
PM10 10 (好)
PM2,5 5 (好)
NO2 7 (好)
SO2 3 (好)
O3 68 (好)
最近几天的空气污染数据 Camden
index
2024-04-10
2024-04-11
2024-04-12
2024-04-13
2024-04-14
2024-04-15
2024-04-16
pm10
13
Good
9
Good
10
Good
11
Good
11
Good
10
Good
10
Good
no2
14
Good
15
Good
14
Good
12
Good
15
Good
13
Good
7
Good
pm25
7
Good
5
Good
6
Good
6
Good
6
Good
5
Good
5
Good
so2
1
Good
1
Good
1
Good
2
Good
2
Good
3
Good
3
Good
o3
62
Good
51
Good
56
Good
58
Good
66
Good
71
Moderate
68
Good
data source »
空气污染在 Camden 从 2015年8月 2020年5月
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
2018-09
2018-08
2018-07
2018-06
2018-05
2018-04
2018-03
2018-02
2018-01
2017-12
2017-11
2017-10
2017-09
2017-08
2017-07
2017-06
2017-05
2017-04
2017-03
2017-02
2017-01
2016-12
2016-11
2016-10
2016-09
2016-08
2016-07
2016-06
2016-05
2016-04
2016-03
2016-02
2016-01
2015-12
2015-11
2015-10
2015-09
2015-08
no2
23 (Good)
28 (Good)
30 (Good)
34 (Good)
40 (Moderate)
39 (Good)
44 (Moderate)
33 (Good)
29 (Good)
28 (Good)
28 (Good)
26 (Good)
33 (Good)
37 (Good)
29 (Good)
42 (Moderate)
51 (Moderate)
43 (Moderate)
42 (Moderate)
42 (Moderate)
33 (Good)
27 (Good)
37 (Good)
39 (Good)
49 (Moderate)
41 (Moderate)
44 (Moderate)
45 (Moderate)
46 (Moderate)
41 (Moderate)
53 (Moderate)
37 (Good)
39 (Good)
42 (Moderate)
38 (Good)
39 (Good)
41 (Moderate)
47 (Moderate)
40 (Good)
49 (Moderate)
69 (Moderate)
72 (Moderate)
60 (Moderate)
53 (Moderate)
46 (Moderate)
41 (Moderate)
38 (Good)
47 (Moderate)
51 (Moderate)
56 (Moderate)
53 (Moderate)
55 (Moderate)
54 (Moderate)
40 (Good)
47 (Moderate)
64 (Moderate)
59 (Moderate)
46 (Moderate)
pm25
12 (Good)
15 (Moderate)
9 (Good)
7.9 (Good)
12 (Good)
11 (Good)
13 (Good)
9.7 (Good)
7.9 (Good)
10 (Good)
8 (Good)
8.2 (Good)
9.5 (Good)
22 (Moderate)
10 (Good)
18 (Moderate)
13 (Good)
10 (Good)
14 (Moderate)
8.9 (Good)
6.3 (Good)
8.8 (Good)
12 (Good)
10 (Good)
16 (Moderate)
16 (Moderate)
16 (Moderate)
15 (Moderate)
14 (Moderate)
13 (Good)
15 (Moderate)
13 (Good)
14 (Moderate)
14 (Moderate)
11 (Good)
14 (Moderate)
16 (Moderate)
16 (Moderate)
15 (Moderate)
20 (Moderate)
27 (Moderate)
24 (Moderate)
12 (Good)
13 (Good)
12 (Good)
11 (Good)
9.1 (Good)
12 (Good)
15 (Moderate)
11 (Good)
17 (Moderate)
11 (Good)
6.6 (Good)
9.5 (Good)
9.9 (Good)
15 (Moderate)
9.2 (Good)
9.6 (Good)
pm10
18 (Good)
24 (Moderate)
16 (Good)
14 (Good)
17 (Good)
16 (Good)
18 (Good)
15 (Good)
14 (Good)
17 (Good)
13 (Good)
15 (Good)
17 (Good)
32 (Moderate)
18 (Good)
29 (Moderate)
20 (Moderate)
18 (Good)
22 (Moderate)
16 (Good)
14 (Good)
12 (Good)
20 (Good)
18 (Good)
25 (Moderate)
22 (Moderate)
23 (Moderate)
20 (Good)
17 (Good)
16 (Good)
19 (Good)
17 (Good)
16 (Good)
18 (Good)
16 (Good)
19 (Good)
22 (Moderate)
22 (Moderate)
20 (Good)
25 (Moderate)
33 (Moderate)
33 (Moderate)
19 (Good)
20 (Good)
19 (Good)
17 (Good)
14 (Good)
17 (Good)
23 (Moderate)
17 (Good)
24 (Moderate)
19 (Good)
13 (Good)
20 (Moderate)
20 (Moderate)
22 (Moderate)
17 (Good)
18 (Good)
o3
68 (Good)
60 (Good)
50 (Good)
43 (Good)
33 (Good)
29 (Good)
19 (Good)
28 (Good)
31 (Good)
44 (Good)
42 (Good)
47 (Good)
46 (Good)
51 (Good)
48 (Good)
29 (Good)
23 (Good)
25 (Good)
20 (Good)
25 (Good)
35 (Good)
35 (Good)
56 (Good)
47 (Good)
49 (Good)
43 (Good)
33 (Good)
23 (Good)
26 (Good)
20 (Good)
15 (Good)
24 (Good)
22 (Good)
27 (Good)
33 (Good)
39 (Good)
38 (Good)
38 (Good)
36 (Good)
25 (Good)
11 (Good)
9.8 (Good)
14 (Good)
14 (Good)
24 (Good)
34 (Good)
29 (Good)
29 (Good)
42 (Good)
37 (Good)
29 (Good)
28 (Good)
26 (Good)
30 (Good)
23 (Good)
15 (Good)
20 (Good)
28 (Good)
so2
3.1 (Good)
3.1 (Good)
6.8 (Good)
7.4 (Good)
3.9 (Good)
3.2 (Good)
4.7 (Good)
2.8 (Good)
2.4 (Good)
2.2 (Good)
1.9 (Good)
1.6 (Good)
3.5 (Good)
3.5 (Good)
3 (Good)
5.1 (Good)
6.8 (Good)
3.1 (Good)
7.6 (Good)
3.5 (Good)
2.5 (Good)
2.5 (Good)
8.1 (Good)
5.6 (Good)
4.5 (Good)
4 (Good)
6.8 (Good)
5.1 (Good)
4.5 (Good)
9.9 (Good)
10 (Good)
2.6 (Good)
2.1 (Good)
1.6 (Good)
3.4 (Good)
3.5 (Good)
3.1 (Good)
2.9 (Good)
3.8 (Good)
6.1 (Good)
7.3 (Good)
11 (Good)
11 (Good)
15 (Good)
8.8 (Good)
5.3 (Good)
8.2 (Good)
12 (Good)
12 (Good)
8.8 (Good)
9.3 (Good)
12 (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
data source »
Camden Kerbside
2024年4月16日星期二 上午1:00
PM10 12 (好)
颗粒物(PM10)悬浮尘埃
PM2,5 6 (好)
尘埃
NO2 2 (好)
二氧化氮（NO2）
London Bloomsbury
2024年4月16日星期二 上午1:00
SO2 2.6 (好)
二氧化硫 （SO2）
O3 68 (好)
臭氧 （O3）
NO2 11 (好)
二氧化氮（NO2）
PM10 8 (好)
颗粒物(PM10)悬浮尘埃
PM2,5 3 (好)
尘埃
Camden Kerbside
index
2024-04-16
2024-04-15
2024-04-14
2024-04-13
2024-04-12
2024-04-11
2024-04-10
pm10
12
13
13
13
12
12
16
no2
3
9
13
15
18
20
19
pm25
6
6.8
7.2
7.7
7.7
6.3
8
London Bloomsbury
index
2024-04-16
2024-04-15
2024-04-14
2024-04-13
2024-04-12
2024-04-11
2024-04-10
no2
11
17
17
9
9.3
9.7
9.1
pm25
3
3.3
4.5
4.5
4.5
3.6
5
pm10
8
8
8.4
8.2
8
6.5
10
so2
2.8
3
1.7
1.6
1.1
0.72
0.83
o3
68
71
66
58
56
51
62
Camden Kerbside
2015-08 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
2018-09
2018-08
2018-07
2018-06
2018-05
2018-04
2018-03
2018-02
2018-01
2017-12
2017-11
2017-10
2017-09
2017-08
2017-07
2017-06
2017-05
2017-04
2017-03
2017-02
2017-01
2016-12
2016-11
2016-10
2016-09
2016-08
2016-07
2016-06
2016-05
2016-04
2016-03
2016-02
2016-01
2015-12
2015-11
2015-10
2015-09
2015-08
pm10
19
23
17
15
18
17
20
16
16
19
15
14
18
32
19
29
22
18
23
18
16
13
21
20
27
23
25
22
18
17
20
18
17
19
16
18
23
22
20
26
36
34
19
20
19
16
13
17
24
18
25
21
13
20
20
23
17
17
pm25
11
15
9.2
6.7
10
9.7
12
8.4
6.5
9.2
7.5
8.2
9.8
22
10
19
13
11
14
9
6.6
13
13
13
19
18
18
15
13
13
17
14
15
14
12
14
17
17
16
21
28
26
14
14
13
12
9.9
14
17
12
19
13
8.3
11
10
18
12
12
no2
21
26
29
31
42
40
49
37
35
34
35
33
41
39
30
47
52
45
44
46
37
38
51
49
56
44
43
42
44
33
54
37
40
44
41
42
50
54
43
53
78
70
63
59
53
47
42
61
64
66
58
56
52
36
48
75
66
51
London Bloomsbury
2015-08 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
2018-09
2018-08
2018-07
2018-06
2018-05
2018-04
2018-03
2018-02
2018-01
2017-12
2017-11
2017-10
2017-09
2017-08
2017-07
2017-06
2017-05
2017-04
2017-03
2017-02
2017-01
2016-12
2016-11
2016-10
2016-09
2016-08
2016-07
2016-06
2016-05
2016-04
2016-03
2016-02
2016-01
2015-12
2015-11
2015-10
2015-09
2015-08
no2
25
30
32
38
39
38
40
29
23
21
20
19
24
34
27
36
50
40
41
38
29
17
23
28
41
39
46
48
49
49
51
37
37
41
36
36
31
41
36
46
60
74
58
47
39
35
34
34
37
47
48
53
56
44
46
54
53
41
o3
68
60
50
43
33
29
19
28
31
44
42
47
46
51
48
29
23
25
20
25
35
35
56
47
49
43
33
23
26
20
15
24
22
27
33
39
38
38
36
25
11
9.8
14
14
24
34
29
29
42
37
29
28
26
30
23
15
20
28
pm10
17
24
16
13
17
15
17
14
13
16
12
15
16
31
17
28
18
18
20
15
13
10
18
15
23
21
21
17
16
15
18
16
15
16
16
19
21
21
20
25
30
32
19
19
20
19
14
17
22
16
22
17
13
20
20
21
17
18
pm25
12
15
8.8
9.1
14
13
14
11
9.2
12
8.6
8.2
9.2
22
10
18
12
10
14
8.8
6
4.9
9.8
7.1
14
13
14
15
15
13
14
12
13
13
11
13
15
14
14
20
26
22
11
12
11
11
8.2
9.6
14
9.6
16
9.9
5
7.8
9.5
12
6.9
7.7
so2
3.1
3.1
6.8
7.4
3.9
3.2
4.7
2.8
2.4
2.2
1.9
1.6
3.5
3.5
3
5.1
6.8
3.1
7.6
3.5
2.5
2.5
8.1
5.6
4.5
4
6.8
5.1
4.5
9.9
10
2.6
2.1
1.6
3.4
3.5
3.1
2.9
3.8
6.1
7.3
11
11
15
8.8
5.3
8.2
12
12
8.8
9.3
12
-
-
-
-
-
-
* Pollution data source:
https://openaq.org
(DEFRA)
The data is licensed under CC-By 4.0
PM10 10 (好)
PM2,5 5 (好)
NO2 7 (好)
SO2 3 (好)
O3 68 (好)
最近几天的空气污染数据 Camden
| index | 2024-04-10 | 2024-04-11 | 2024-04-12 | 2024-04-13 | 2024-04-14 | 2024-04-15 | 2024-04-16 |
|---|---|---|---|---|---|---|---|
| pm10 | 13 Good |
9 Good |
10 Good |
11 Good |
11 Good |
10 Good |
10 Good |
| no2 | 14 Good |
15 Good |
14 Good |
12 Good |
15 Good |
13 Good |
7 Good |
| pm25 | 7 Good |
5 Good |
6 Good |
6 Good |
6 Good |
5 Good |
5 Good |
| so2 | 1 Good |
1 Good |
1 Good |
2 Good |
2 Good |
3 Good |
3 Good |
| o3 | 62 Good |
51 Good |
56 Good |
58 Good |
66 Good |
71 Moderate |
68 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 | 2018-09 | 2018-08 | 2018-07 | 2018-06 | 2018-05 | 2018-04 | 2018-03 | 2018-02 | 2018-01 | 2017-12 | 2017-11 | 2017-10 | 2017-09 | 2017-08 | 2017-07 | 2017-06 | 2017-05 | 2017-04 | 2017-03 | 2017-02 | 2017-01 | 2016-12 | 2016-11 | 2016-10 | 2016-09 | 2016-08 | 2016-07 | 2016-06 | 2016-05 | 2016-04 | 2016-03 | 2016-02 | 2016-01 | 2015-12 | 2015-11 | 2015-10 | 2015-09 | 2015-08 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| no2 | 23 (Good) | 28 (Good) | 30 (Good) | 34 (Good) | 40 (Moderate) | 39 (Good) | 44 (Moderate) | 33 (Good) | 29 (Good) | 28 (Good) | 28 (Good) | 26 (Good) | 33 (Good) | 37 (Good) | 29 (Good) | 42 (Moderate) | 51 (Moderate) | 43 (Moderate) | 42 (Moderate) | 42 (Moderate) | 33 (Good) | 27 (Good) | 37 (Good) | 39 (Good) | 49 (Moderate) | 41 (Moderate) | 44 (Moderate) | 45 (Moderate) | 46 (Moderate) | 41 (Moderate) | 53 (Moderate) | 37 (Good) | 39 (Good) | 42 (Moderate) | 38 (Good) | 39 (Good) | 41 (Moderate) | 47 (Moderate) | 40 (Good) | 49 (Moderate) | 69 (Moderate) | 72 (Moderate) | 60 (Moderate) | 53 (Moderate) | 46 (Moderate) | 41 (Moderate) | 38 (Good) | 47 (Moderate) | 51 (Moderate) | 56 (Moderate) | 53 (Moderate) | 55 (Moderate) | 54 (Moderate) | 40 (Good) | 47 (Moderate) | 64 (Moderate) | 59 (Moderate) | 46 (Moderate) |
| pm25 | 12 (Good) | 15 (Moderate) | 9 (Good) | 7.9 (Good) | 12 (Good) | 11 (Good) | 13 (Good) | 9.7 (Good) | 7.9 (Good) | 10 (Good) | 8 (Good) | 8.2 (Good) | 9.5 (Good) | 22 (Moderate) | 10 (Good) | 18 (Moderate) | 13 (Good) | 10 (Good) | 14 (Moderate) | 8.9 (Good) | 6.3 (Good) | 8.8 (Good) | 12 (Good) | 10 (Good) | 16 (Moderate) | 16 (Moderate) | 16 (Moderate) | 15 (Moderate) | 14 (Moderate) | 13 (Good) | 15 (Moderate) | 13 (Good) | 14 (Moderate) | 14 (Moderate) | 11 (Good) | 14 (Moderate) | 16 (Moderate) | 16 (Moderate) | 15 (Moderate) | 20 (Moderate) | 27 (Moderate) | 24 (Moderate) | 12 (Good) | 13 (Good) | 12 (Good) | 11 (Good) | 9.1 (Good) | 12 (Good) | 15 (Moderate) | 11 (Good) | 17 (Moderate) | 11 (Good) | 6.6 (Good) | 9.5 (Good) | 9.9 (Good) | 15 (Moderate) | 9.2 (Good) | 9.6 (Good) |
| pm10 | 18 (Good) | 24 (Moderate) | 16 (Good) | 14 (Good) | 17 (Good) | 16 (Good) | 18 (Good) | 15 (Good) | 14 (Good) | 17 (Good) | 13 (Good) | 15 (Good) | 17 (Good) | 32 (Moderate) | 18 (Good) | 29 (Moderate) | 20 (Moderate) | 18 (Good) | 22 (Moderate) | 16 (Good) | 14 (Good) | 12 (Good) | 20 (Good) | 18 (Good) | 25 (Moderate) | 22 (Moderate) | 23 (Moderate) | 20 (Good) | 17 (Good) | 16 (Good) | 19 (Good) | 17 (Good) | 16 (Good) | 18 (Good) | 16 (Good) | 19 (Good) | 22 (Moderate) | 22 (Moderate) | 20 (Good) | 25 (Moderate) | 33 (Moderate) | 33 (Moderate) | 19 (Good) | 20 (Good) | 19 (Good) | 17 (Good) | 14 (Good) | 17 (Good) | 23 (Moderate) | 17 (Good) | 24 (Moderate) | 19 (Good) | 13 (Good) | 20 (Moderate) | 20 (Moderate) | 22 (Moderate) | 17 (Good) | 18 (Good) |
| o3 | 68 (Good) | 60 (Good) | 50 (Good) | 43 (Good) | 33 (Good) | 29 (Good) | 19 (Good) | 28 (Good) | 31 (Good) | 44 (Good) | 42 (Good) | 47 (Good) | 46 (Good) | 51 (Good) | 48 (Good) | 29 (Good) | 23 (Good) | 25 (Good) | 20 (Good) | 25 (Good) | 35 (Good) | 35 (Good) | 56 (Good) | 47 (Good) | 49 (Good) | 43 (Good) | 33 (Good) | 23 (Good) | 26 (Good) | 20 (Good) | 15 (Good) | 24 (Good) | 22 (Good) | 27 (Good) | 33 (Good) | 39 (Good) | 38 (Good) | 38 (Good) | 36 (Good) | 25 (Good) | 11 (Good) | 9.8 (Good) | 14 (Good) | 14 (Good) | 24 (Good) | 34 (Good) | 29 (Good) | 29 (Good) | 42 (Good) | 37 (Good) | 29 (Good) | 28 (Good) | 26 (Good) | 30 (Good) | 23 (Good) | 15 (Good) | 20 (Good) | 28 (Good) |
| so2 | 3.1 (Good) | 3.1 (Good) | 6.8 (Good) | 7.4 (Good) | 3.9 (Good) | 3.2 (Good) | 4.7 (Good) | 2.8 (Good) | 2.4 (Good) | 2.2 (Good) | 1.9 (Good) | 1.6 (Good) | 3.5 (Good) | 3.5 (Good) | 3 (Good) | 5.1 (Good) | 6.8 (Good) | 3.1 (Good) | 7.6 (Good) | 3.5 (Good) | 2.5 (Good) | 2.5 (Good) | 8.1 (Good) | 5.6 (Good) | 4.5 (Good) | 4 (Good) | 6.8 (Good) | 5.1 (Good) | 4.5 (Good) | 9.9 (Good) | 10 (Good) | 2.6 (Good) | 2.1 (Good) | 1.6 (Good) | 3.4 (Good) | 3.5 (Good) | 3.1 (Good) | 2.9 (Good) | 3.8 (Good) | 6.1 (Good) | 7.3 (Good) | 11 (Good) | 11 (Good) | 15 (Good) | 8.8 (Good) | 5.3 (Good) | 8.2 (Good) | 12 (Good) | 12 (Good) | 8.8 (Good) | 9.3 (Good) | 12 (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) |
PM10 12 (好)
颗粒物(PM10)悬浮尘埃PM2,5 6 (好)
尘埃NO2 2 (好)
二氧化氮（NO2）SO2 2.6 (好)
二氧化硫 （SO2）O3 68 (好)
臭氧 （O3）NO2 11 (好)
二氧化氮（NO2）PM10 8 (好)
颗粒物(PM10)悬浮尘埃PM2,5 3 (好)
尘埃Camden Kerbside
| index | 2024-04-16 | 2024-04-15 | 2024-04-14 | 2024-04-13 | 2024-04-12 | 2024-04-11 | 2024-04-10 |
|---|---|---|---|---|---|---|---|
| pm10 | 12 | 13 | 13 | 13 | 12 | 12 | 16 |
| no2 | 3 | 9 | 13 | 15 | 18 | 20 | 19 |
| pm25 | 6 | 6.8 | 7.2 | 7.7 | 7.7 | 6.3 | 8 |
London Bloomsbury
| index | 2024-04-16 | 2024-04-15 | 2024-04-14 | 2024-04-13 | 2024-04-12 | 2024-04-11 | 2024-04-10 |
|---|---|---|---|---|---|---|---|
| no2 | 11 | 17 | 17 | 9 | 9.3 | 9.7 | 9.1 |
| pm25 | 3 | 3.3 | 4.5 | 4.5 | 4.5 | 3.6 | 5 |
| pm10 | 8 | 8 | 8.4 | 8.2 | 8 | 6.5 | 10 |
| so2 | 2.8 | 3 | 1.7 | 1.6 | 1.1 | 0.72 | 0.83 |
| o3 | 68 | 71 | 66 | 58 | 56 | 51 | 62 |
Camden Kerbside
| 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 | 2018-09 | 2018-08 | 2018-07 | 2018-06 | 2018-05 | 2018-04 | 2018-03 | 2018-02 | 2018-01 | 2017-12 | 2017-11 | 2017-10 | 2017-09 | 2017-08 | 2017-07 | 2017-06 | 2017-05 | 2017-04 | 2017-03 | 2017-02 | 2017-01 | 2016-12 | 2016-11 | 2016-10 | 2016-09 | 2016-08 | 2016-07 | 2016-06 | 2016-05 | 2016-04 | 2016-03 | 2016-02 | 2016-01 | 2015-12 | 2015-11 | 2015-10 | 2015-09 | 2015-08 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| pm10 | 19 | 23 | 17 | 15 | 18 | 17 | 20 | 16 | 16 | 19 | 15 | 14 | 18 | 32 | 19 | 29 | 22 | 18 | 23 | 18 | 16 | 13 | 21 | 20 | 27 | 23 | 25 | 22 | 18 | 17 | 20 | 18 | 17 | 19 | 16 | 18 | 23 | 22 | 20 | 26 | 36 | 34 | 19 | 20 | 19 | 16 | 13 | 17 | 24 | 18 | 25 | 21 | 13 | 20 | 20 | 23 | 17 | 17 |
| pm25 | 11 | 15 | 9.2 | 6.7 | 10 | 9.7 | 12 | 8.4 | 6.5 | 9.2 | 7.5 | 8.2 | 9.8 | 22 | 10 | 19 | 13 | 11 | 14 | 9 | 6.6 | 13 | 13 | 13 | 19 | 18 | 18 | 15 | 13 | 13 | 17 | 14 | 15 | 14 | 12 | 14 | 17 | 17 | 16 | 21 | 28 | 26 | 14 | 14 | 13 | 12 | 9.9 | 14 | 17 | 12 | 19 | 13 | 8.3 | 11 | 10 | 18 | 12 | 12 |
| no2 | 21 | 26 | 29 | 31 | 42 | 40 | 49 | 37 | 35 | 34 | 35 | 33 | 41 | 39 | 30 | 47 | 52 | 45 | 44 | 46 | 37 | 38 | 51 | 49 | 56 | 44 | 43 | 42 | 44 | 33 | 54 | 37 | 40 | 44 | 41 | 42 | 50 | 54 | 43 | 53 | 78 | 70 | 63 | 59 | 53 | 47 | 42 | 61 | 64 | 66 | 58 | 56 | 52 | 36 | 48 | 75 | 66 | 51 |
London Bloomsbury
| 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 | 2018-09 | 2018-08 | 2018-07 | 2018-06 | 2018-05 | 2018-04 | 2018-03 | 2018-02 | 2018-01 | 2017-12 | 2017-11 | 2017-10 | 2017-09 | 2017-08 | 2017-07 | 2017-06 | 2017-05 | 2017-04 | 2017-03 | 2017-02 | 2017-01 | 2016-12 | 2016-11 | 2016-10 | 2016-09 | 2016-08 | 2016-07 | 2016-06 | 2016-05 | 2016-04 | 2016-03 | 2016-02 | 2016-01 | 2015-12 | 2015-11 | 2015-10 | 2015-09 | 2015-08 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| no2 | 25 | 30 | 32 | 38 | 39 | 38 | 40 | 29 | 23 | 21 | 20 | 19 | 24 | 34 | 27 | 36 | 50 | 40 | 41 | 38 | 29 | 17 | 23 | 28 | 41 | 39 | 46 | 48 | 49 | 49 | 51 | 37 | 37 | 41 | 36 | 36 | 31 | 41 | 36 | 46 | 60 | 74 | 58 | 47 | 39 | 35 | 34 | 34 | 37 | 47 | 48 | 53 | 56 | 44 | 46 | 54 | 53 | 41 |
| o3 | 68 | 60 | 50 | 43 | 33 | 29 | 19 | 28 | 31 | 44 | 42 | 47 | 46 | 51 | 48 | 29 | 23 | 25 | 20 | 25 | 35 | 35 | 56 | 47 | 49 | 43 | 33 | 23 | 26 | 20 | 15 | 24 | 22 | 27 | 33 | 39 | 38 | 38 | 36 | 25 | 11 | 9.8 | 14 | 14 | 24 | 34 | 29 | 29 | 42 | 37 | 29 | 28 | 26 | 30 | 23 | 15 | 20 | 28 |
| pm10 | 17 | 24 | 16 | 13 | 17 | 15 | 17 | 14 | 13 | 16 | 12 | 15 | 16 | 31 | 17 | 28 | 18 | 18 | 20 | 15 | 13 | 10 | 18 | 15 | 23 | 21 | 21 | 17 | 16 | 15 | 18 | 16 | 15 | 16 | 16 | 19 | 21 | 21 | 20 | 25 | 30 | 32 | 19 | 19 | 20 | 19 | 14 | 17 | 22 | 16 | 22 | 17 | 13 | 20 | 20 | 21 | 17 | 18 |
| pm25 | 12 | 15 | 8.8 | 9.1 | 14 | 13 | 14 | 11 | 9.2 | 12 | 8.6 | 8.2 | 9.2 | 22 | 10 | 18 | 12 | 10 | 14 | 8.8 | 6 | 4.9 | 9.8 | 7.1 | 14 | 13 | 14 | 15 | 15 | 13 | 14 | 12 | 13 | 13 | 11 | 13 | 15 | 14 | 14 | 20 | 26 | 22 | 11 | 12 | 11 | 11 | 8.2 | 9.6 | 14 | 9.6 | 16 | 9.9 | 5 | 7.8 | 9.5 | 12 | 6.9 | 7.7 |
| so2 | 3.1 | 3.1 | 6.8 | 7.4 | 3.9 | 3.2 | 4.7 | 2.8 | 2.4 | 2.2 | 1.9 | 1.6 | 3.5 | 3.5 | 3 | 5.1 | 6.8 | 3.1 | 7.6 | 3.5 | 2.5 | 2.5 | 8.1 | 5.6 | 4.5 | 4 | 6.8 | 5.1 | 4.5 | 9.9 | 10 | 2.6 | 2.1 | 1.6 | 3.4 | 3.5 | 3.1 | 2.9 | 3.8 | 6.1 | 7.3 | 11 | 11 | 15 | 8.8 | 5.3 | 8.2 | 12 | 12 | 8.8 | 9.3 | 12 | - | - | - | - | - | - |