Polusi udara di Shanghai: indeks kualitas udara real-time dan siaga asap.
Perkiraan kualitas polusi dan udara untuk Shanghai. Hari ini Senin, 29 April 2024. Nilai polusi udara berikut telah tercatat untuk Shanghai:- partikulat Matter (PM10) debu tersuspensi - 53 (Tidak sehat untuk kelompok sensitif)
- ozon (O3) - 0 (Bagus)
- partikulat Matter (PM 2.5) debu - 14 (Moderat)
- sulfur dioksida (SO2) - 16 (Bagus)
- nitrogen dioksida (NO2) - 5 (Bagus)
- karbon monoksida (CO) - 45 (Bagus)
Apa kualitas udara di Shanghai hari ini? Apakah udara tercemar di Shanghai?. Apakah ada Smog?
Apa tingkat PM10 hari ini di Shanghai? (partikulat Matter (PM10) debu tersuspensi)
Level saat ini dari partikulat Matter PM10 di Shanghai adalah:
53 (Tidak sehat untuk kelompok sensitif)
Nilai PM10 tertinggi biasanya terjadi di bulan: 66 (Maret 2019).
Nilai terendah dari partikulat PM10 pencemaran Shanghai biasanya dicatat di: Juni (32).
Bagaimana tingkat O3 hari ini di Shanghai? (ozon (O3))
0 (Bagus)
Apa tingkat saat PM 2,5 in Shanghai? (partikulat Matter (PM 2.5) debu)
Hari ini PM 2.5 tingkat:
14 (Moderat)
Sebagai perbandingan, tingkat tertinggi PM 2,5 in Shanghai dalam 7 hari terakhir adalah: 22 (Jumat, 27 Mei 2022) dan Terendah: 22 (Jumat, 27 Mei 2022).
Nilai tertinggi PM 2.5 direkam: 54 (Januari 2020).
Tingkat terendah dari partikulat Matter PM 2.5 polusi terjadi di bulan: September (22).
Apa tingkat polusi SO2? (sulfur dioksida (SO2))
16 (Bagus)
Seberapa tinggi tingkat NO2? (nitrogen dioksida (NO2))
5 (Bagus)
Seberapa tinggi tingkat CO? (karbon monoksida (CO))
45 (Bagus)
Data saat ini Jumat, 27 Mei 2022 12.00
PM10 53 (Tidak sehat untuk kelompok sensitif)
O3 0 (Bagus)
PM2,5 14 (Moderat)
SO2 16 (Bagus)
NO2 5 (Bagus)
CO 45 (Bagus)
Data tentang polusi udara dari beberapa hari terakhir di Shanghai
index
2022-05-27
pm10
48
Moderate
o3
5
Good
pm25
22
Moderate
so2
9
Good
no2
5
Good
co
106
Good
data source »
Polusi udara di Shanghai dari Oktober 2018 ke Mei 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
41 (Unhealthy for Sensitive Groups)
34 (Moderate)
27 (Moderate)
33 (Moderate)
54 (Unhealthy for Sensitive Groups)
51 (Unhealthy for Sensitive Groups)
28 (Moderate)
32 (Moderate)
22 (Moderate)
24 (Moderate)
26 (Moderate)
29 (Moderate)
33 (Moderate)
40 (Unhealthy for Sensitive Groups)
51 (Unhealthy for Sensitive Groups)
41 (Unhealthy for Sensitive Groups)
50 (Unhealthy for Sensitive Groups)
35 (Unhealthy for Sensitive Groups)
42 (Unhealthy for Sensitive Groups)
33 (Moderate)
co
735 (Good)
599 (Good)
573 (Good)
615 (Good)
755 (Good)
810 (Good)
612 (Good)
616 (Good)
611 (Good)
606 (Good)
507 (Good)
525 (Good)
614 (Good)
712 (Good)
758 (Good)
714 (Good)
799 (Good)
685 (Good)
695 (Good)
591 (Good)
no2
34 (Good)
40 (Good)
33 (Good)
28 (Good)
44 (Moderate)
63 (Moderate)
47 (Moderate)
43 (Moderate)
32 (Good)
26 (Good)
29 (Good)
27 (Good)
38 (Good)
44 (Moderate)
52 (Moderate)
35 (Good)
56 (Moderate)
49 (Moderate)
54 (Moderate)
45 (Moderate)
o3
146 (Unhealthy for Sensitive Groups)
142 (Unhealthy for Sensitive Groups)
112 (Moderate)
98 (Moderate)
76 (Moderate)
74 (Moderate)
99 (Moderate)
113 (Moderate)
126 (Unhealthy for Sensitive Groups)
135 (Unhealthy for Sensitive Groups)
141 (Unhealthy for Sensitive Groups)
147 (Unhealthy for Sensitive Groups)
159 (Unhealthy)
127 (Unhealthy for Sensitive Groups)
120 (Moderate)
86 (Moderate)
73 (Moderate)
65 (Good)
97 (Moderate)
121 (Unhealthy for Sensitive Groups)
pm10
46 (Moderate)
54 (Unhealthy for Sensitive Groups)
39 (Moderate)
34 (Moderate)
45 (Moderate)
52 (Unhealthy for Sensitive Groups)
58 (Unhealthy for Sensitive Groups)
57 (Unhealthy for Sensitive Groups)
33 (Moderate)
34 (Moderate)
32 (Moderate)
32 (Moderate)
53 (Unhealthy for Sensitive Groups)
50 (Unhealthy for Sensitive Groups)
66 (Unhealthy for Sensitive Groups)
49 (Moderate)
61 (Unhealthy for Sensitive Groups)
53 (Unhealthy for Sensitive Groups)
51 (Unhealthy for Sensitive Groups)
54 (Unhealthy for Sensitive Groups)
so2
6.7 (Good)
7.4 (Good)
6.3 (Good)
5.7 (Good)
6.8 (Good)
8.6 (Good)
7.7 (Good)
8 (Good)
6.3 (Good)
5.4 (Good)
4.9 (Good)
5.4 (Good)
7 (Good)
6.4 (Good)
7.3 (Good)
6.2 (Good)
8.7 (Good)
7.8 (Good)
6.8 (Good)
8.8 (Good)
data source »
Kualitas hidup di Shanghai
Hijau dan taman di kota
Shanghai
54%
Mongolia: 27%
Bhutan: 82%
Hong Kong: 52%
Myanmar: 33%
partikulat Matter PM 2.5
Shanghai
45 (Unhealthy for Sensitive Groups)
Kenikmatan menghabiskan waktu di kota
Shanghai
43%
Mongolia: 22%
Bhutan: 61%
Hong Kong: 43%
Myanmar: 24%
partikulat Matter PM10
Shanghai
59 (Unhealthy for Sensitive Groups)
Polusi udara
Shanghai
70%
Mongolia: 87%
Bhutan: 45%
Hong Kong: 67%
Myanmar: 83%
Pembuangan sampah
Shanghai
56%
Mongolia: 27%
Bhutan: 47%
Hong Kong: 52%
Myanmar: 12%
Ketersediaan dan kualitas air minum
Shanghai
43%
Mongolia: 46%
Bhutan: 64%
Hong Kong: 66%
Myanmar: 34%
Kebersihan dan kerasnya
Shanghai
57%
Mongolia: 29%
Bhutan: 57%
Hong Kong: 54%
Myanmar: 18%
Kebisingan dan polusi cahaya
Shanghai
59%
Mongolia: 48%
Bhutan: 55%
Hong Kong: 66%
Myanmar: 52%
Polusi air
Shanghai
62%
Mongolia: 68%
Bhutan: 56%
Hong Kong: 53%
Myanmar: 74%
Source: Numbeo
十五厂
Jumat, 27 Mei 2022 12.00
PM10 53 (Tidak sehat untuk kelompok sensitif)
partikulat Matter (PM10) debu tersuspensi
O3 0.02 (Bagus)
ozon (O3)
PM2,5 6.6 (Bagus)
partikulat Matter (PM 2.5) debu
SO2 18 (Bagus)
sulfur dioksida (SO2)
NO2 3 (Bagus)
nitrogen dioksida (NO2)
CO 1.3 (Bagus)
karbon monoksida (CO)
徐汇上师大
Jumat, 27 Mei 2022 12.00
PM10 53 (Tidak sehat untuk kelompok sensitif)
partikulat Matter (PM10) debu tersuspensi
O3 0.02 (Bagus)
ozon (O3)
PM2,5 6.6 (Bagus)
partikulat Matter (PM 2.5) debu
SO2 18 (Bagus)
sulfur dioksida (SO2)
NO2 3 (Bagus)
nitrogen dioksida (NO2)
CO 1.3 (Bagus)
karbon monoksida (CO)
普陀
Jumat, 27 Mei 2022 15.00
PM2,5 22 (Moderat)
partikulat Matter (PM 2.5) debu
CO 219 (Bagus)
karbon monoksida (CO)
O3 0.05 (Bagus)
ozon (O3)
NO2 7 (Bagus)
nitrogen dioksida (NO2)
PM10 36 (Moderat)
partikulat Matter (PM10) debu tersuspensi
SO2 7.7 (Bagus)
sulfur dioksida (SO2)
杨浦四漂
Jumat, 27 Mei 2022 15.00
PM2,5 61 (Tidak sehat)
partikulat Matter (PM 2.5) debu
NO2 22 (Bagus)
nitrogen dioksida (NO2)
PM10 69 (Tidak sehat untuk kelompok sensitif)
partikulat Matter (PM10) debu tersuspensi
CO 219 (Bagus)
karbon monoksida (CO)
O3 0.05 (Bagus)
ozon (O3)
SO2 7.7 (Bagus)
sulfur dioksida (SO2)
浦东川沙
Jumat, 27 Mei 2022 12.00
PM10 53 (Tidak sehat untuk kelompok sensitif)
partikulat Matter (PM10) debu tersuspensi
O3 0.02 (Bagus)
ozon (O3)
PM2,5 6.6 (Bagus)
partikulat Matter (PM 2.5) debu
SO2 18 (Bagus)
sulfur dioksida (SO2)
NO2 3 (Bagus)
nitrogen dioksida (NO2)
CO 1.3 (Bagus)
karbon monoksida (CO)
浦东张江
Jumat, 27 Mei 2022 12.00
PM10 53 (Tidak sehat untuk kelompok sensitif)
partikulat Matter (PM10) debu tersuspensi
O3 0.02 (Bagus)
ozon (O3)
PM2,5 6.6 (Bagus)
partikulat Matter (PM 2.5) debu
SO2 18 (Bagus)
sulfur dioksida (SO2)
NO2 3 (Bagus)
nitrogen dioksida (NO2)
CO 1.3 (Bagus)
karbon monoksida (CO)
浦东新区监测站
Jumat, 27 Mei 2022 12.00
PM10 53 (Tidak sehat untuk kelompok sensitif)
partikulat Matter (PM10) debu tersuspensi
O3 0.02 (Bagus)
ozon (O3)
PM2,5 6.6 (Bagus)
partikulat Matter (PM 2.5) debu
SO2 18 (Bagus)
sulfur dioksida (SO2)
NO2 3 (Bagus)
nitrogen dioksida (NO2)
CO 1.3 (Bagus)
karbon monoksida (CO)
虹口
Jumat, 27 Mei 2022 12.00
PM10 53 (Tidak sehat untuk kelompok sensitif)
partikulat Matter (PM10) debu tersuspensi
O3 0.02 (Bagus)
ozon (O3)
PM2,5 6.6 (Bagus)
partikulat Matter (PM 2.5) debu
SO2 18 (Bagus)
sulfur dioksida (SO2)
NO2 3 (Bagus)
nitrogen dioksida (NO2)
CO 1.3 (Bagus)
karbon monoksida (CO)
青浦淀山湖
Jumat, 27 Mei 2022 12.00
PM10 53 (Tidak sehat untuk kelompok sensitif)
partikulat Matter (PM10) debu tersuspensi
O3 0.02 (Bagus)
ozon (O3)
PM2,5 6.6 (Bagus)
partikulat Matter (PM 2.5) debu
SO2 18 (Bagus)
sulfur dioksida (SO2)
NO2 3 (Bagus)
nitrogen dioksida (NO2)
CO 1.3 (Bagus)
karbon monoksida (CO)
静安监测站
Jumat, 27 Mei 2022 12.00
PM10 53 (Tidak sehat untuk kelompok sensitif)
partikulat Matter (PM10) debu tersuspensi
O3 0.02 (Bagus)
ozon (O3)
PM2,5 6.6 (Bagus)
partikulat Matter (PM 2.5) debu
SO2 18 (Bagus)
sulfur dioksida (SO2)
NO2 3 (Bagus)
nitrogen dioksida (NO2)
CO 1.3 (Bagus)
karbon monoksida (CO)
十五厂
index
2022-05-27
pm10
51
o3
0.02
pm25
21
so2
9.6
no2
0.38
co
0.64
徐汇上师大
index
2022-05-27
pm10
51
o3
0.02
pm25
21
so2
9.6
no2
0.38
co
0.64
普陀
index
2022-05-27
pm25
23
co
475
o3
25
no2
21
pm10
32
so2
4.4
杨浦四漂
index
2022-05-27
pm25
28
no2
22
pm10
35
co
579
o3
22
so2
4.6
浦东川沙
index
2022-05-27
pm10
51
o3
0.02
pm25
21
so2
9.6
no2
0.38
co
0.64
浦东张江
index
2022-05-27
pm10
51
o3
0.02
pm25
21
so2
9.6
no2
0.38
co
0.64
浦东新区监测站
index
2022-05-27
pm10
51
o3
0.02
pm25
21
so2
9.6
no2
0.38
co
0.64
虹口
index
2022-05-27
pm10
51
o3
0.02
pm25
21
so2
9.6
no2
0.38
co
0.64
青浦淀山湖
index
2022-05-27
pm10
51
o3
0.02
pm25
21
so2
9.6
no2
0.38
co
0.64
静安监测站
index
2022-05-27
pm10
51
o3
0.02
pm25
21
so2
9.6
no2
0.38
co
0.64
十五厂
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
47
39
30
32
54
53
29
33
23
23
25
28
33
39
50
38
48
35
41
30
co
713
712
567
623
968
938
654
589
665
686
507
629
727
708
672
656
699
599
651
660
no2
34
41
33
24
41
63
45
39
27
25
28
28
41
49
55
36
57
49
52
41
o3
146
142
114
97
73
67
92
106
120
134
144
146
156
120
116
83
80
69
98
121
pm10
43
52
37
33
44
52
64
64
36
35
25
26
44
48
68
50
61
50
51
49
so2
5.5
6.6
3.1
5.3
7.5
9.3
9
8.5
6.1
5.2
5.4
4.5
6.2
5.9
6.7
6.6
9.2
7.2
5.3
9.4
徐汇上师大
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
32
30
39
61
52
29
35
24
26
29
33
35
43
52
41
51
36
42
36
co
645
634
586
569
861
817
580
604
666
545
512
691
678
932
603
660
786
810
738
529
no2
36
44
37
33
48
65
51
52
37
25
29
30
44
49
51
38
63
54
52
44
o3
148
143
108
93
76
74
97
113
129
141
147
158
166
129
124
86
65
57
89
118
pm10
47
56
39
33
46
53
57
57
31
31
31
30
54
50
61
46
60
52
48
56
so2
8.9
9
9.4
6.7
8.8
11
8.4
8.2
4.8
3.5
4
5
6.9
5.8
8.5
6.5
7.6
6.8
6.4
10
普陀
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
38
33
25
30
53
49
25
31
20
22
25
27
31
40
50
38
48
33
41
33
co
817
595
531
651
882
785
661
701
578
583
570
623
672
806
874
743
647
654
689
535
no2
37
43
36
32
47
65
47
46
37
28
32
24
34
42
53
41
57
53
52
45
o3
151
143
112
100
77
75
101
114
129
131
136
147
155
122
114
81
70
66
99
125
pm10
50
60
43
38
51
56
59
59
35
36
36
36
59
57
70
54
67
58
56
59
so2
4.5
6.1
5.1
5.8
7.8
11
9.1
8
9.3
7.4
5.8
5.2
5.3
4.8
7.2
5.8
8.3
8.4
6.3
6.8
杨浦四漂
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
41
33
26
31
52
48
26
31
22
26
27
30
34
41
52
43
50
36
43
33
co
715
527
634
750
923
941
674
707
664
562
550
455
502
593
751
858
934
760
797
671
no2
40
43
35
29
47
67
50
47
37
32
35
31
46
55
60
40
59
51
59
48
o3
143
145
116
97
77
75
100
112
121
130
139
143
154
127
127
94
78
68
101
121
pm10
49
59
43
37
49
56
62
58
34
35
34
33
53
51
69
53
61
54
54
54
so2
7.5
8.7
7.8
6.8
6.6
7.3
6.6
6.4
5
3.6
4
5.4
6.7
3.9
4.7
6.8
9.1
8.4
8.3
9.6
浦东川沙
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
40
32
25
31
50
51
27
30
18
24
24
26
32
39
51
41
49
34
38
31
co
741
502
511
657
697
736
606
552
605
594
476
454
433
583
769
575
840
640
654
551
no2
32
31
27
24
39
57
38
37
27
26
24
27
34
39
44
24
52
48
52
48
o3
139
142
115
100
85
82
104
117
124
133
139
138
157
130
130
98
84
72
105
125
pm10
40
49
35
32
42
48
53
49
28
30
27
28
51
45
61
45
55
47
47
48
so2
11
8.8
6.2
4.8
6.3
9.9
8
7.7
5.5
5.4
6.6
6.6
9.5
10
8.2
5.9
8.2
7.1
5.8
8.4
浦东张江
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
41
31
25
36
52
47
28
29
20
28
23
31
34
38
52
42
50
33
43
33
co
818
658
572
613
746
684
445
563
534
593
524
438
543
707
775
742
747
573
604
492
no2
28
33
27
24
37
56
43
39
27
24
26
23
36
41
52
33
52
46
53
45
o3
136
142
113
97
78
76
95
109
125
137
136
139
154
124
116
86
76
66
92
118
pm10
43
51
37
32
41
48
53
52
32
34
34
32
57
51
73
52
66
55
56
59
so2
6.9
5.8
4
3.5
5.5
7.3
6.5
7.5
6.3
6.7
6
5.7
6
5.8
6
5
7.6
7.2
6.2
7.7
浦东新区监测站
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
40
31
22
31
53
46
24
29
19
23
24
27
31
40
49
35
49
35
40
31
co
766
618
623
583
721
703
544
563
501
536
467
500
605
587
618
847
853
656
616
587
no2
30
37
30
24
40
58
41
39
29
24
27
25
35
37
46
32
51
47
49
41
o3
141
126
106
95
74
73
99
109
120
134
138
142
151
119
105
75
65
61
94
121
pm10
44
52
38
36
45
50
55
52
29
30
31
30
52
47
64
44
56
49
48
45
so2
6.2
6.6
5.7
4.8
5.2
6.4
6.6
8.9
7.4
6.4
5.1
7.6
8.6
8.1
8.3
7.5
9.6
6.8
7.4
7.8
虹口
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
40
33
29
35
56
53
28
33
22
24
27
29
31
37
51
42
49
37
43
35
co
668
530
465
586
942
855
651
724
727
640
444
426
663
607
812
714
851
738
802
704
no2
40
43
35
31
48
69
53
47
38
29
35
31
41
48
56
38
60
55
60
50
o3
144
135
106
98
68
68
94
106
115
127
137
135
151
125
116
84
70
58
90
112
pm10
51
58
42
36
38
50
54
53
31
32
31
32
48
45
62
46
57
49
46
49
so2
7.6
7.9
7.9
6
5.5
7.7
5.5
8.7
7.3
7.4
6.2
5.2
7.3
6.6
8.7
6.3
9.7
9
7.3
9.5
青浦淀山湖
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
44
39
33
36
59
60
33
40
25
26
27
32
33
45
53
49
58
42
47
42
co
701
575
593
530
812
814
658
561
582
607
467
511
724
779
822
793
827
790
761
598
no2
30
41
37
24
42
63
48
44
24
21
28
24
34
38
45
30
49
43
52
46
o3
159
157
117
104
77
78
101
127
151
147
144
174
181
146
126
90
73
65
100
131
pm10
46
53
37
34
47
55
62
60
35
33
34
32
50
50
61
46
63
55
44
63
so2
5.1
5.8
4.4
4.8
6.9
8.1
9.2
8.8
6
4.1
2.8
4.8
7.2
6.9
7.2
5.6
7.2
7
6.9
9.3
静安监测站
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
42
35
28
33
55
48
27
33
24
24
25
28
32
41
49
40
49
34
40
30
co
770
641
649
592
1
826
650
597
592
715
548
525
596
822
883
554
807
629
641
580
no2
38
43
37
33
50
68
50
45
37
30
30
26
38
49
55
40
61
48
56
45
o3
153
146
115
101
77
75
102
116
127
140
146
150
163
129
121
87
72
65
100
121
pm10
48
56
40
35
47
55
63
61
36
40
39
37
62
57
72
56
68
57
58
56
so2
4.3
8.4
9.5
7.9
7.5
8.6
8.3
7.2
5.3
4.4
2.8
4.4
6
5.9
7
5.6
11
11
8.4
9.6
* Pollution data source:
https://openaq.org
(ChinaAQIData)
The data is licensed under CC-By 4.0
PM10 53 (Tidak sehat untuk kelompok sensitif)
O3 0 (Bagus)
PM2,5 14 (Moderat)
SO2 16 (Bagus)
NO2 5 (Bagus)
CO 45 (Bagus)
Data tentang polusi udara dari beberapa hari terakhir di Shanghai
| index | 2022-05-27 |
|---|---|
| pm10 | 48 Moderate |
| o3 | 5 Good |
| pm25 | 22 Moderate |
| so2 | 9 Good |
| no2 | 5 Good |
| co | 106 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 | 41 (Unhealthy for Sensitive Groups) | 34 (Moderate) | 27 (Moderate) | 33 (Moderate) | 54 (Unhealthy for Sensitive Groups) | 51 (Unhealthy for Sensitive Groups) | 28 (Moderate) | 32 (Moderate) | 22 (Moderate) | 24 (Moderate) | 26 (Moderate) | 29 (Moderate) | 33 (Moderate) | 40 (Unhealthy for Sensitive Groups) | 51 (Unhealthy for Sensitive Groups) | 41 (Unhealthy for Sensitive Groups) | 50 (Unhealthy for Sensitive Groups) | 35 (Unhealthy for Sensitive Groups) | 42 (Unhealthy for Sensitive Groups) | 33 (Moderate) |
| co | 735 (Good) | 599 (Good) | 573 (Good) | 615 (Good) | 755 (Good) | 810 (Good) | 612 (Good) | 616 (Good) | 611 (Good) | 606 (Good) | 507 (Good) | 525 (Good) | 614 (Good) | 712 (Good) | 758 (Good) | 714 (Good) | 799 (Good) | 685 (Good) | 695 (Good) | 591 (Good) |
| no2 | 34 (Good) | 40 (Good) | 33 (Good) | 28 (Good) | 44 (Moderate) | 63 (Moderate) | 47 (Moderate) | 43 (Moderate) | 32 (Good) | 26 (Good) | 29 (Good) | 27 (Good) | 38 (Good) | 44 (Moderate) | 52 (Moderate) | 35 (Good) | 56 (Moderate) | 49 (Moderate) | 54 (Moderate) | 45 (Moderate) |
| o3 | 146 (Unhealthy for Sensitive Groups) | 142 (Unhealthy for Sensitive Groups) | 112 (Moderate) | 98 (Moderate) | 76 (Moderate) | 74 (Moderate) | 99 (Moderate) | 113 (Moderate) | 126 (Unhealthy for Sensitive Groups) | 135 (Unhealthy for Sensitive Groups) | 141 (Unhealthy for Sensitive Groups) | 147 (Unhealthy for Sensitive Groups) | 159 (Unhealthy) | 127 (Unhealthy for Sensitive Groups) | 120 (Moderate) | 86 (Moderate) | 73 (Moderate) | 65 (Good) | 97 (Moderate) | 121 (Unhealthy for Sensitive Groups) |
| pm10 | 46 (Moderate) | 54 (Unhealthy for Sensitive Groups) | 39 (Moderate) | 34 (Moderate) | 45 (Moderate) | 52 (Unhealthy for Sensitive Groups) | 58 (Unhealthy for Sensitive Groups) | 57 (Unhealthy for Sensitive Groups) | 33 (Moderate) | 34 (Moderate) | 32 (Moderate) | 32 (Moderate) | 53 (Unhealthy for Sensitive Groups) | 50 (Unhealthy for Sensitive Groups) | 66 (Unhealthy for Sensitive Groups) | 49 (Moderate) | 61 (Unhealthy for Sensitive Groups) | 53 (Unhealthy for Sensitive Groups) | 51 (Unhealthy for Sensitive Groups) | 54 (Unhealthy for Sensitive Groups) |
| so2 | 6.7 (Good) | 7.4 (Good) | 6.3 (Good) | 5.7 (Good) | 6.8 (Good) | 8.6 (Good) | 7.7 (Good) | 8 (Good) | 6.3 (Good) | 5.4 (Good) | 4.9 (Good) | 5.4 (Good) | 7 (Good) | 6.4 (Good) | 7.3 (Good) | 6.2 (Good) | 8.7 (Good) | 7.8 (Good) | 6.8 (Good) | 8.8 (Good) |
Hijau dan taman di kota
Shanghai 54%
Mongolia: 27% Bhutan: 82% Hong Kong: 52% Myanmar: 33%partikulat Matter PM 2.5
Shanghai 45 (Unhealthy for Sensitive Groups)
Kenikmatan menghabiskan waktu di kota
Shanghai 43%
Mongolia: 22% Bhutan: 61% Hong Kong: 43% Myanmar: 24%partikulat Matter PM10
Shanghai 59 (Unhealthy for Sensitive Groups)
Polusi udara
Shanghai 70%
Mongolia: 87% Bhutan: 45% Hong Kong: 67% Myanmar: 83%Pembuangan sampah
Shanghai 56%
Mongolia: 27% Bhutan: 47% Hong Kong: 52% Myanmar: 12%Ketersediaan dan kualitas air minum
Shanghai 43%
Mongolia: 46% Bhutan: 64% Hong Kong: 66% Myanmar: 34%Kebersihan dan kerasnya
Shanghai 57%
Mongolia: 29% Bhutan: 57% Hong Kong: 54% Myanmar: 18%Kebisingan dan polusi cahaya
Shanghai 59%
Mongolia: 48% Bhutan: 55% Hong Kong: 66% Myanmar: 52%Polusi air
Shanghai 62%
Mongolia: 68% Bhutan: 56% Hong Kong: 53% Myanmar: 74%PM10 53 (Tidak sehat untuk kelompok sensitif)
partikulat Matter (PM10) debu tersuspensiO3 0.02 (Bagus)
ozon (O3)PM2,5 6.6 (Bagus)
partikulat Matter (PM 2.5) debuSO2 18 (Bagus)
sulfur dioksida (SO2)NO2 3 (Bagus)
nitrogen dioksida (NO2)CO 1.3 (Bagus)
karbon monoksida (CO)PM10 53 (Tidak sehat untuk kelompok sensitif)
partikulat Matter (PM10) debu tersuspensiO3 0.02 (Bagus)
ozon (O3)PM2,5 6.6 (Bagus)
partikulat Matter (PM 2.5) debuSO2 18 (Bagus)
sulfur dioksida (SO2)NO2 3 (Bagus)
nitrogen dioksida (NO2)CO 1.3 (Bagus)
karbon monoksida (CO)PM2,5 22 (Moderat)
partikulat Matter (PM 2.5) debuCO 219 (Bagus)
karbon monoksida (CO)O3 0.05 (Bagus)
ozon (O3)NO2 7 (Bagus)
nitrogen dioksida (NO2)PM10 36 (Moderat)
partikulat Matter (PM10) debu tersuspensiSO2 7.7 (Bagus)
sulfur dioksida (SO2)PM2,5 61 (Tidak sehat)
partikulat Matter (PM 2.5) debuNO2 22 (Bagus)
nitrogen dioksida (NO2)PM10 69 (Tidak sehat untuk kelompok sensitif)
partikulat Matter (PM10) debu tersuspensiCO 219 (Bagus)
karbon monoksida (CO)O3 0.05 (Bagus)
ozon (O3)SO2 7.7 (Bagus)
sulfur dioksida (SO2)PM10 53 (Tidak sehat untuk kelompok sensitif)
partikulat Matter (PM10) debu tersuspensiO3 0.02 (Bagus)
ozon (O3)PM2,5 6.6 (Bagus)
partikulat Matter (PM 2.5) debuSO2 18 (Bagus)
sulfur dioksida (SO2)NO2 3 (Bagus)
nitrogen dioksida (NO2)CO 1.3 (Bagus)
karbon monoksida (CO)PM10 53 (Tidak sehat untuk kelompok sensitif)
partikulat Matter (PM10) debu tersuspensiO3 0.02 (Bagus)
ozon (O3)PM2,5 6.6 (Bagus)
partikulat Matter (PM 2.5) debuSO2 18 (Bagus)
sulfur dioksida (SO2)NO2 3 (Bagus)
nitrogen dioksida (NO2)CO 1.3 (Bagus)
karbon monoksida (CO)PM10 53 (Tidak sehat untuk kelompok sensitif)
partikulat Matter (PM10) debu tersuspensiO3 0.02 (Bagus)
ozon (O3)PM2,5 6.6 (Bagus)
partikulat Matter (PM 2.5) debuSO2 18 (Bagus)
sulfur dioksida (SO2)NO2 3 (Bagus)
nitrogen dioksida (NO2)CO 1.3 (Bagus)
karbon monoksida (CO)PM10 53 (Tidak sehat untuk kelompok sensitif)
partikulat Matter (PM10) debu tersuspensiO3 0.02 (Bagus)
ozon (O3)PM2,5 6.6 (Bagus)
partikulat Matter (PM 2.5) debuSO2 18 (Bagus)
sulfur dioksida (SO2)NO2 3 (Bagus)
nitrogen dioksida (NO2)CO 1.3 (Bagus)
karbon monoksida (CO)PM10 53 (Tidak sehat untuk kelompok sensitif)
partikulat Matter (PM10) debu tersuspensiO3 0.02 (Bagus)
ozon (O3)PM2,5 6.6 (Bagus)
partikulat Matter (PM 2.5) debuSO2 18 (Bagus)
sulfur dioksida (SO2)NO2 3 (Bagus)
nitrogen dioksida (NO2)CO 1.3 (Bagus)
karbon monoksida (CO)PM10 53 (Tidak sehat untuk kelompok sensitif)
partikulat Matter (PM10) debu tersuspensiO3 0.02 (Bagus)
ozon (O3)PM2,5 6.6 (Bagus)
partikulat Matter (PM 2.5) debuSO2 18 (Bagus)
sulfur dioksida (SO2)NO2 3 (Bagus)
nitrogen dioksida (NO2)CO 1.3 (Bagus)
karbon monoksida (CO)十五厂
| index | 2022-05-27 |
|---|---|
| pm10 | 51 |
| o3 | 0.02 |
| pm25 | 21 |
| so2 | 9.6 |
| no2 | 0.38 |
| co | 0.64 |
徐汇上师大
| index | 2022-05-27 |
|---|---|
| pm10 | 51 |
| o3 | 0.02 |
| pm25 | 21 |
| so2 | 9.6 |
| no2 | 0.38 |
| co | 0.64 |
普陀
| index | 2022-05-27 |
|---|---|
| pm25 | 23 |
| co | 475 |
| o3 | 25 |
| no2 | 21 |
| pm10 | 32 |
| so2 | 4.4 |
杨浦四漂
| index | 2022-05-27 |
|---|---|
| pm25 | 28 |
| no2 | 22 |
| pm10 | 35 |
| co | 579 |
| o3 | 22 |
| so2 | 4.6 |
浦东川沙
| index | 2022-05-27 |
|---|---|
| pm10 | 51 |
| o3 | 0.02 |
| pm25 | 21 |
| so2 | 9.6 |
| no2 | 0.38 |
| co | 0.64 |
浦东张江
| index | 2022-05-27 |
|---|---|
| pm10 | 51 |
| o3 | 0.02 |
| pm25 | 21 |
| so2 | 9.6 |
| no2 | 0.38 |
| co | 0.64 |
浦东新区监测站
| index | 2022-05-27 |
|---|---|
| pm10 | 51 |
| o3 | 0.02 |
| pm25 | 21 |
| so2 | 9.6 |
| no2 | 0.38 |
| co | 0.64 |
虹口
| index | 2022-05-27 |
|---|---|
| pm10 | 51 |
| o3 | 0.02 |
| pm25 | 21 |
| so2 | 9.6 |
| no2 | 0.38 |
| co | 0.64 |
青浦淀山湖
| index | 2022-05-27 |
|---|---|
| pm10 | 51 |
| o3 | 0.02 |
| pm25 | 21 |
| so2 | 9.6 |
| no2 | 0.38 |
| co | 0.64 |
静安监测站
| index | 2022-05-27 |
|---|---|
| pm10 | 51 |
| o3 | 0.02 |
| pm25 | 21 |
| so2 | 9.6 |
| no2 | 0.38 |
| co | 0.64 |
十五厂
| 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 | 47 | 39 | 30 | 32 | 54 | 53 | 29 | 33 | 23 | 23 | 25 | 28 | 33 | 39 | 50 | 38 | 48 | 35 | 41 | 30 |
| co | 713 | 712 | 567 | 623 | 968 | 938 | 654 | 589 | 665 | 686 | 507 | 629 | 727 | 708 | 672 | 656 | 699 | 599 | 651 | 660 |
| no2 | 34 | 41 | 33 | 24 | 41 | 63 | 45 | 39 | 27 | 25 | 28 | 28 | 41 | 49 | 55 | 36 | 57 | 49 | 52 | 41 |
| o3 | 146 | 142 | 114 | 97 | 73 | 67 | 92 | 106 | 120 | 134 | 144 | 146 | 156 | 120 | 116 | 83 | 80 | 69 | 98 | 121 |
| pm10 | 43 | 52 | 37 | 33 | 44 | 52 | 64 | 64 | 36 | 35 | 25 | 26 | 44 | 48 | 68 | 50 | 61 | 50 | 51 | 49 |
| so2 | 5.5 | 6.6 | 3.1 | 5.3 | 7.5 | 9.3 | 9 | 8.5 | 6.1 | 5.2 | 5.4 | 4.5 | 6.2 | 5.9 | 6.7 | 6.6 | 9.2 | 7.2 | 5.3 | 9.4 |
徐汇上师大
| 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 | 32 | 30 | 39 | 61 | 52 | 29 | 35 | 24 | 26 | 29 | 33 | 35 | 43 | 52 | 41 | 51 | 36 | 42 | 36 |
| co | 645 | 634 | 586 | 569 | 861 | 817 | 580 | 604 | 666 | 545 | 512 | 691 | 678 | 932 | 603 | 660 | 786 | 810 | 738 | 529 |
| no2 | 36 | 44 | 37 | 33 | 48 | 65 | 51 | 52 | 37 | 25 | 29 | 30 | 44 | 49 | 51 | 38 | 63 | 54 | 52 | 44 |
| o3 | 148 | 143 | 108 | 93 | 76 | 74 | 97 | 113 | 129 | 141 | 147 | 158 | 166 | 129 | 124 | 86 | 65 | 57 | 89 | 118 |
| pm10 | 47 | 56 | 39 | 33 | 46 | 53 | 57 | 57 | 31 | 31 | 31 | 30 | 54 | 50 | 61 | 46 | 60 | 52 | 48 | 56 |
| so2 | 8.9 | 9 | 9.4 | 6.7 | 8.8 | 11 | 8.4 | 8.2 | 4.8 | 3.5 | 4 | 5 | 6.9 | 5.8 | 8.5 | 6.5 | 7.6 | 6.8 | 6.4 | 10 |
普陀
| 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 | 38 | 33 | 25 | 30 | 53 | 49 | 25 | 31 | 20 | 22 | 25 | 27 | 31 | 40 | 50 | 38 | 48 | 33 | 41 | 33 |
| co | 817 | 595 | 531 | 651 | 882 | 785 | 661 | 701 | 578 | 583 | 570 | 623 | 672 | 806 | 874 | 743 | 647 | 654 | 689 | 535 |
| no2 | 37 | 43 | 36 | 32 | 47 | 65 | 47 | 46 | 37 | 28 | 32 | 24 | 34 | 42 | 53 | 41 | 57 | 53 | 52 | 45 |
| o3 | 151 | 143 | 112 | 100 | 77 | 75 | 101 | 114 | 129 | 131 | 136 | 147 | 155 | 122 | 114 | 81 | 70 | 66 | 99 | 125 |
| pm10 | 50 | 60 | 43 | 38 | 51 | 56 | 59 | 59 | 35 | 36 | 36 | 36 | 59 | 57 | 70 | 54 | 67 | 58 | 56 | 59 |
| so2 | 4.5 | 6.1 | 5.1 | 5.8 | 7.8 | 11 | 9.1 | 8 | 9.3 | 7.4 | 5.8 | 5.2 | 5.3 | 4.8 | 7.2 | 5.8 | 8.3 | 8.4 | 6.3 | 6.8 |
杨浦四漂
| 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 | 41 | 33 | 26 | 31 | 52 | 48 | 26 | 31 | 22 | 26 | 27 | 30 | 34 | 41 | 52 | 43 | 50 | 36 | 43 | 33 |
| co | 715 | 527 | 634 | 750 | 923 | 941 | 674 | 707 | 664 | 562 | 550 | 455 | 502 | 593 | 751 | 858 | 934 | 760 | 797 | 671 |
| no2 | 40 | 43 | 35 | 29 | 47 | 67 | 50 | 47 | 37 | 32 | 35 | 31 | 46 | 55 | 60 | 40 | 59 | 51 | 59 | 48 |
| o3 | 143 | 145 | 116 | 97 | 77 | 75 | 100 | 112 | 121 | 130 | 139 | 143 | 154 | 127 | 127 | 94 | 78 | 68 | 101 | 121 |
| pm10 | 49 | 59 | 43 | 37 | 49 | 56 | 62 | 58 | 34 | 35 | 34 | 33 | 53 | 51 | 69 | 53 | 61 | 54 | 54 | 54 |
| so2 | 7.5 | 8.7 | 7.8 | 6.8 | 6.6 | 7.3 | 6.6 | 6.4 | 5 | 3.6 | 4 | 5.4 | 6.7 | 3.9 | 4.7 | 6.8 | 9.1 | 8.4 | 8.3 | 9.6 |
浦东川沙
| 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 | 40 | 32 | 25 | 31 | 50 | 51 | 27 | 30 | 18 | 24 | 24 | 26 | 32 | 39 | 51 | 41 | 49 | 34 | 38 | 31 |
| co | 741 | 502 | 511 | 657 | 697 | 736 | 606 | 552 | 605 | 594 | 476 | 454 | 433 | 583 | 769 | 575 | 840 | 640 | 654 | 551 |
| no2 | 32 | 31 | 27 | 24 | 39 | 57 | 38 | 37 | 27 | 26 | 24 | 27 | 34 | 39 | 44 | 24 | 52 | 48 | 52 | 48 |
| o3 | 139 | 142 | 115 | 100 | 85 | 82 | 104 | 117 | 124 | 133 | 139 | 138 | 157 | 130 | 130 | 98 | 84 | 72 | 105 | 125 |
| pm10 | 40 | 49 | 35 | 32 | 42 | 48 | 53 | 49 | 28 | 30 | 27 | 28 | 51 | 45 | 61 | 45 | 55 | 47 | 47 | 48 |
| so2 | 11 | 8.8 | 6.2 | 4.8 | 6.3 | 9.9 | 8 | 7.7 | 5.5 | 5.4 | 6.6 | 6.6 | 9.5 | 10 | 8.2 | 5.9 | 8.2 | 7.1 | 5.8 | 8.4 |
浦东张江
| 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 | 41 | 31 | 25 | 36 | 52 | 47 | 28 | 29 | 20 | 28 | 23 | 31 | 34 | 38 | 52 | 42 | 50 | 33 | 43 | 33 |
| co | 818 | 658 | 572 | 613 | 746 | 684 | 445 | 563 | 534 | 593 | 524 | 438 | 543 | 707 | 775 | 742 | 747 | 573 | 604 | 492 |
| no2 | 28 | 33 | 27 | 24 | 37 | 56 | 43 | 39 | 27 | 24 | 26 | 23 | 36 | 41 | 52 | 33 | 52 | 46 | 53 | 45 |
| o3 | 136 | 142 | 113 | 97 | 78 | 76 | 95 | 109 | 125 | 137 | 136 | 139 | 154 | 124 | 116 | 86 | 76 | 66 | 92 | 118 |
| pm10 | 43 | 51 | 37 | 32 | 41 | 48 | 53 | 52 | 32 | 34 | 34 | 32 | 57 | 51 | 73 | 52 | 66 | 55 | 56 | 59 |
| so2 | 6.9 | 5.8 | 4 | 3.5 | 5.5 | 7.3 | 6.5 | 7.5 | 6.3 | 6.7 | 6 | 5.7 | 6 | 5.8 | 6 | 5 | 7.6 | 7.2 | 6.2 | 7.7 |
浦东新区监测站
| 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 | 40 | 31 | 22 | 31 | 53 | 46 | 24 | 29 | 19 | 23 | 24 | 27 | 31 | 40 | 49 | 35 | 49 | 35 | 40 | 31 |
| co | 766 | 618 | 623 | 583 | 721 | 703 | 544 | 563 | 501 | 536 | 467 | 500 | 605 | 587 | 618 | 847 | 853 | 656 | 616 | 587 |
| no2 | 30 | 37 | 30 | 24 | 40 | 58 | 41 | 39 | 29 | 24 | 27 | 25 | 35 | 37 | 46 | 32 | 51 | 47 | 49 | 41 |
| o3 | 141 | 126 | 106 | 95 | 74 | 73 | 99 | 109 | 120 | 134 | 138 | 142 | 151 | 119 | 105 | 75 | 65 | 61 | 94 | 121 |
| pm10 | 44 | 52 | 38 | 36 | 45 | 50 | 55 | 52 | 29 | 30 | 31 | 30 | 52 | 47 | 64 | 44 | 56 | 49 | 48 | 45 |
| so2 | 6.2 | 6.6 | 5.7 | 4.8 | 5.2 | 6.4 | 6.6 | 8.9 | 7.4 | 6.4 | 5.1 | 7.6 | 8.6 | 8.1 | 8.3 | 7.5 | 9.6 | 6.8 | 7.4 | 7.8 |
虹口
| 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 | 40 | 33 | 29 | 35 | 56 | 53 | 28 | 33 | 22 | 24 | 27 | 29 | 31 | 37 | 51 | 42 | 49 | 37 | 43 | 35 |
| co | 668 | 530 | 465 | 586 | 942 | 855 | 651 | 724 | 727 | 640 | 444 | 426 | 663 | 607 | 812 | 714 | 851 | 738 | 802 | 704 |
| no2 | 40 | 43 | 35 | 31 | 48 | 69 | 53 | 47 | 38 | 29 | 35 | 31 | 41 | 48 | 56 | 38 | 60 | 55 | 60 | 50 |
| o3 | 144 | 135 | 106 | 98 | 68 | 68 | 94 | 106 | 115 | 127 | 137 | 135 | 151 | 125 | 116 | 84 | 70 | 58 | 90 | 112 |
| pm10 | 51 | 58 | 42 | 36 | 38 | 50 | 54 | 53 | 31 | 32 | 31 | 32 | 48 | 45 | 62 | 46 | 57 | 49 | 46 | 49 |
| so2 | 7.6 | 7.9 | 7.9 | 6 | 5.5 | 7.7 | 5.5 | 8.7 | 7.3 | 7.4 | 6.2 | 5.2 | 7.3 | 6.6 | 8.7 | 6.3 | 9.7 | 9 | 7.3 | 9.5 |
青浦淀山湖
| 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 | 44 | 39 | 33 | 36 | 59 | 60 | 33 | 40 | 25 | 26 | 27 | 32 | 33 | 45 | 53 | 49 | 58 | 42 | 47 | 42 |
| co | 701 | 575 | 593 | 530 | 812 | 814 | 658 | 561 | 582 | 607 | 467 | 511 | 724 | 779 | 822 | 793 | 827 | 790 | 761 | 598 |
| no2 | 30 | 41 | 37 | 24 | 42 | 63 | 48 | 44 | 24 | 21 | 28 | 24 | 34 | 38 | 45 | 30 | 49 | 43 | 52 | 46 |
| o3 | 159 | 157 | 117 | 104 | 77 | 78 | 101 | 127 | 151 | 147 | 144 | 174 | 181 | 146 | 126 | 90 | 73 | 65 | 100 | 131 |
| pm10 | 46 | 53 | 37 | 34 | 47 | 55 | 62 | 60 | 35 | 33 | 34 | 32 | 50 | 50 | 61 | 46 | 63 | 55 | 44 | 63 |
| so2 | 5.1 | 5.8 | 4.4 | 4.8 | 6.9 | 8.1 | 9.2 | 8.8 | 6 | 4.1 | 2.8 | 4.8 | 7.2 | 6.9 | 7.2 | 5.6 | 7.2 | 7 | 6.9 | 9.3 |
静安监测站
| 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 | 42 | 35 | 28 | 33 | 55 | 48 | 27 | 33 | 24 | 24 | 25 | 28 | 32 | 41 | 49 | 40 | 49 | 34 | 40 | 30 |
| co | 770 | 641 | 649 | 592 | 1 | 826 | 650 | 597 | 592 | 715 | 548 | 525 | 596 | 822 | 883 | 554 | 807 | 629 | 641 | 580 |
| no2 | 38 | 43 | 37 | 33 | 50 | 68 | 50 | 45 | 37 | 30 | 30 | 26 | 38 | 49 | 55 | 40 | 61 | 48 | 56 | 45 |
| o3 | 153 | 146 | 115 | 101 | 77 | 75 | 102 | 116 | 127 | 140 | 146 | 150 | 163 | 129 | 121 | 87 | 72 | 65 | 100 | 121 |
| pm10 | 48 | 56 | 40 | 35 | 47 | 55 | 63 | 61 | 36 | 40 | 39 | 37 | 62 | 57 | 72 | 56 | 68 | 57 | 58 | 56 |
| so2 | 4.3 | 8.4 | 9.5 | 7.9 | 7.5 | 8.6 | 8.3 | 7.2 | 5.3 | 4.4 | 2.8 | 4.4 | 6 | 5.9 | 7 | 5.6 | 11 | 11 | 8.4 | 9.6 |