Polusi udara di Punjab: indeks kualitas udara real-time dan siaga asap.
Perkiraan kualitas polusi dan udara untuk Punjab. Hari ini Selasa, 30 April 2024. Nilai polusi udara berikut telah tercatat untuk Punjab:- partikulat Matter (PM10) debu tersuspensi - 144 (Sangat tidak sehat)
- sulfur dioksida (SO2) - 13 (Bagus)
- partikulat Matter (PM 2.5) debu - 77 (Sangat tidak sehat)
- karbon monoksida (CO) - 950 (Bagus)
- nitrogen dioksida (NO2) - 27 (Bagus)
- ozon (O3) - 25 (Bagus)
Apa kualitas udara di Punjab hari ini? Apakah udara tercemar di Punjab?. Apakah ada Smog?
Apa tingkat PM10 hari ini di Punjab? (partikulat Matter (PM10) debu tersuspensi)
Level saat ini dari partikulat Matter PM10 di Punjab adalah:
144 (Sangat tidak sehat)
Nilai PM10 tertinggi biasanya terjadi di bulan: 276 (November 2017).
Nilai terendah dari partikulat PM10 pencemaran Punjab biasanya dicatat di: April (53).
Apa tingkat polusi SO2? (sulfur dioksida (SO2))
13 (Bagus)
Apa tingkat saat PM 2,5 in Punjab? (partikulat Matter (PM 2.5) debu)
Hari ini PM 2.5 tingkat:
77 (Sangat tidak sehat)
Sebagai perbandingan, tingkat tertinggi PM 2,5 in Punjab dalam 7 hari terakhir adalah: 75 (Senin, 31 Oktober 2022) dan Terendah: 75 (Senin, 31 Oktober 2022).
Nilai tertinggi PM 2.5 direkam: 150 (November 2017).
Tingkat terendah dari partikulat Matter PM 2.5 polusi terjadi di bulan: Agustus (23).
Seberapa tinggi tingkat CO? (karbon monoksida (CO))
950 (Bagus)
Seberapa tinggi tingkat NO2? (nitrogen dioksida (NO2))
27 (Bagus)
Bagaimana tingkat O3 hari ini di Punjab? (ozon (O3))
25 (Bagus)
Data saat ini Senin, 31 Oktober 2022 02.00
PM10 144 (Sangat tidak sehat)
SO2 13 (Bagus)
PM2,5 77 (Sangat tidak sehat)
CO 950 (Bagus)
NO2 27 (Bagus)
O3 25 (Bagus)
Data tentang polusi udara dari beberapa hari terakhir di Punjab
index
2022-10-31
pm10
137
Very Unhealthy
so2
13
Good
pm25
75
Very Unhealthy
co
1022
Good
no2
28
Good
o3
24
Good
data source »
Polusi udara di Punjab dari Maret 2017 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
2019-02
2018-11
2018-10
2018-09
2018-08
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
pm25
34 (Moderate)
26 (Moderate)
30 (Moderate)
57 (Unhealthy)
59 (Unhealthy)
78 (Very Unhealthy)
74 (Unhealthy)
60 (Unhealthy)
30 (Moderate)
23 (Moderate)
27 (Moderate)
41 (Unhealthy for Sensitive Groups)
31 (Moderate)
45 (Unhealthy for Sensitive Groups)
59 (Unhealthy)
58 (Unhealthy)
53 (Unhealthy for Sensitive Groups)
28 (Moderate)
25 (Moderate)
51 (Unhealthy for Sensitive Groups)
62 (Unhealthy)
74 (Unhealthy)
63 (Unhealthy)
78 (Very Unhealthy)
98 (Very Unhealthy)
150 (Very bad Hazardous)
127 (Very bad Hazardous)
78 (Very Unhealthy)
37 (Unhealthy for Sensitive Groups)
33 (Moderate)
66 (Unhealthy)
77 (Very Unhealthy)
73 (Unhealthy)
89 (Very Unhealthy)
pm10
82 (Unhealthy)
53 (Unhealthy for Sensitive Groups)
68 (Unhealthy for Sensitive Groups)
111 (Very Unhealthy)
103 (Unhealthy)
137 (Very Unhealthy)
153 (Very bad Hazardous)
121 (Very Unhealthy)
69 (Unhealthy for Sensitive Groups)
61 (Unhealthy for Sensitive Groups)
68 (Unhealthy for Sensitive Groups)
110 (Very Unhealthy)
86 (Unhealthy)
142 (Very Unhealthy)
139 (Very Unhealthy)
119 (Very Unhealthy)
112 (Very Unhealthy)
55 (Unhealthy for Sensitive Groups)
54 (Unhealthy for Sensitive Groups)
118 (Very Unhealthy)
131 (Very Unhealthy)
98 (Unhealthy)
100 (Unhealthy)
131 (Very Unhealthy)
160 (Very bad Hazardous)
276 (Very bad Hazardous)
236 (Very bad Hazardous)
155 (Very bad Hazardous)
100 (Unhealthy)
125 (Very Unhealthy)
173 (Very bad Hazardous)
212 (Very bad Hazardous)
193 (Very bad Hazardous)
202 (Very bad Hazardous)
no2
24 (Good)
12 (Good)
16 (Good)
16 (Good)
16 (Good)
18 (Good)
28 (Good)
25 (Good)
16 (Good)
15 (Good)
19 (Good)
26 (Good)
24 (Good)
19 (Good)
17 (Good)
23 (Good)
20 (Good)
14 (Good)
13 (Good)
20 (Good)
18 (Good)
23 (Good)
45 (Moderate)
26 (Good)
60 (Moderate)
103 (Unhealthy for Sensitive Groups)
37 (Good)
11 (Good)
11 (Good)
12 (Good)
36 (Good)
11 (Good)
32 (Good)
35 (Good)
so2
10 (Good)
7.5 (Good)
11 (Good)
15 (Good)
12 (Good)
11 (Good)
15 (Good)
9.8 (Good)
9.1 (Good)
9.6 (Good)
23 (Good)
9.7 (Good)
11 (Good)
11 (Good)
7.8 (Good)
12 (Good)
8.2 (Good)
7.3 (Good)
12 (Good)
14 (Good)
17 (Good)
13 (Good)
8.3 (Good)
13 (Good)
9.6 (Good)
8.4 (Good)
7.8 (Good)
16 (Good)
4.2 (Good)
12 (Good)
29 (Good)
22 (Good)
13 (Good)
12 (Good)
co
531 (Good)
333 (Good)
402 (Good)
541 (Good)
449 (Good)
463 (Good)
376 (Good)
357 (Good)
411 (Good)
501 (Good)
260 (Good)
573 (Good)
396 (Good)
520 (Good)
583 (Good)
360 (Good)
387 (Good)
419 (Good)
497 (Good)
555 (Good)
18 (Good)
48 (Good)
1 (Good)
1 (Good)
1 (Good)
966 (Good)
793 (Good)
871 (Good)
525 (Good)
813 (Good)
783 (Good)
542 (Good)
662 (Good)
522 (Good)
o3
26 (Good)
24 (Good)
18 (Good)
21 (Good)
16 (Good)
14 (Good)
14 (Good)
32 (Good)
20 (Good)
16 (Good)
20 (Good)
22 (Good)
26 (Good)
24 (Good)
14 (Good)
15 (Good)
22 (Good)
20 (Good)
24 (Good)
20 (Good)
22 (Good)
18 (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
data source »
Kualitas hidup di Punjab
Hijau dan taman di kota
Punjab
51%
Nepal: 32%
Bangladesh: 33%
Bhutan: 82%
Sri Lanka: 59%
Pakistan: 49%
partikulat Matter PM 2.5
Punjab
82 (Very Unhealthy)
Kenikmatan menghabiskan waktu di kota
Punjab
38%
Nepal: 32%
Bangladesh: 26%
Bhutan: 61%
Sri Lanka: 52%
Pakistan: 43%
partikulat Matter PM10
Punjab
150 (Very bad Hazardous)
Polusi udara
Punjab
68%
Nepal: 76%
Bangladesh: 78%
Bhutan: 45%
Sri Lanka: 53%
Pakistan: 64%
Pembuangan sampah
Punjab
27%
Nepal: 25%
Bangladesh: 22%
Bhutan: 47%
Sri Lanka: 41%
Pakistan: 34%
Ketersediaan dan kualitas air minum
Punjab
53%
Nepal: 36%
Bangladesh: 44%
Bhutan: 64%
Sri Lanka: 65%
Pakistan: 44%
Kebersihan dan kerasnya
Punjab
38%
Nepal: 27%
Bangladesh: 23%
Bhutan: 57%
Sri Lanka: 52%
Pakistan: 40%
Kebisingan dan polusi cahaya
Punjab
58%
Nepal: 55%
Bangladesh: 63%
Bhutan: 55%
Sri Lanka: 50%
Pakistan: 59%
Polusi air
Punjab
65%
Nepal: 76%
Bangladesh: 74%
Bhutan: 56%
Sri Lanka: 57%
Pakistan: 70%
Source: Numbeo
Civil Line, Jalandhar - PPCB
Senin, 31 Oktober 2022 02.00
PM10 103 (Tidak sehat)
partikulat Matter (PM10) debu tersuspensi
SO2 16 (Bagus)
sulfur dioksida (SO2)
PM2,5 56 (Tidak sehat)
partikulat Matter (PM 2.5) debu
CO 720 (Bagus)
karbon monoksida (CO)
NO2 25 (Bagus)
nitrogen dioksida (NO2)
O3 7.2 (Bagus)
ozon (O3)
Golden Temple, Amritsar - PPCB
Senin, 31 Oktober 2022 02.00
PM10 138 (Sangat tidak sehat)
partikulat Matter (PM10) debu tersuspensi
SO2 7.2 (Bagus)
sulfur dioksida (SO2)
PM2,5 129 (Sangat buruk berbahaya)
partikulat Matter (PM 2.5) debu
CO 580 (Bagus)
karbon monoksida (CO)
NO2 58 (Moderat)
nitrogen dioksida (NO2)
O3 15 (Bagus)
ozon (O3)
Hardev Nagar, Bathinda - PPCB
Senin, 31 Oktober 2022 01.45
CO 950 (Bagus)
karbon monoksida (CO)
PM2,5 48 (Tidak sehat untuk kelompok sensitif)
partikulat Matter (PM 2.5) debu
PM10 109 (Tidak sehat)
partikulat Matter (PM10) debu tersuspensi
NO2 22 (Bagus)
nitrogen dioksida (NO2)
SO2 34 (Bagus)
sulfur dioksida (SO2)
Kalal Majra, Khanna - PPCB
Senin, 31 Oktober 2022 01.00
PM2,5 55 (Tidak sehat untuk kelompok sensitif)
partikulat Matter (PM 2.5) debu
PM10 155 (Sangat buruk berbahaya)
partikulat Matter (PM10) debu tersuspensi
NO2 23 (Bagus)
nitrogen dioksida (NO2)
SO2 8 (Bagus)
sulfur dioksida (SO2)
CO 0.75 (Bagus)
karbon monoksida (CO)
O3 21 (Bagus)
ozon (O3)
Model Town, Patiala - PPCB
Senin, 31 Oktober 2022 01.45
PM10 171 (Sangat buruk berbahaya)
partikulat Matter (PM10) debu tersuspensi
SO2 8.8 (Bagus)
sulfur dioksida (SO2)
PM2,5 93 (Sangat tidak sehat)
partikulat Matter (PM 2.5) debu
CO 2060 (Moderat)
karbon monoksida (CO)
NO2 21 (Bagus)
nitrogen dioksida (NO2)
O3 28 (Bagus)
ozon (O3)
Punjab Agricultural University, Ludhiana - PPCB
Senin, 31 Oktober 2022 02.00
SO2 6 (Bagus)
sulfur dioksida (SO2)
PM2,5 99 (Sangat tidak sehat)
partikulat Matter (PM 2.5) debu
NO2 21 (Bagus)
nitrogen dioksida (NO2)
PM10 188 (Sangat buruk berbahaya)
partikulat Matter (PM10) debu tersuspensi
CO 1680 (Bagus)
karbon monoksida (CO)
O3 8.7 (Bagus)
ozon (O3)
RIMT University, Mandi Gobindgarh - PPCB
Senin, 31 Oktober 2022 02.00
PM2,5 60 (Tidak sehat)
partikulat Matter (PM 2.5) debu
PM10 142 (Sangat tidak sehat)
partikulat Matter (PM10) debu tersuspensi
NO2 20 (Bagus)
nitrogen dioksida (NO2)
SO2 14 (Bagus)
sulfur dioksida (SO2)
CO 660 (Bagus)
karbon monoksida (CO)
O3 68 (Bagus)
ozon (O3)
Civil Line, Jalandhar - PPCB
index
2022-10-31
pm10
104
so2
16
pm25
56
co
705
no2
25
o3
7.1
Golden Temple, Amritsar - PPCB
index
2022-10-31
pm10
126
so2
7.7
pm25
110
co
620
no2
63
o3
15
Hardev Nagar, Bathinda - PPCB
index
2022-10-31
co
1450
pm25
48
pm10
71
no2
21
so2
34
Kalal Majra, Khanna - PPCB
index
2022-10-31
pm25
55
pm10
155
no2
23
so2
8
co
0.75
o3
21
Model Town, Patiala - PPCB
index
2022-10-31
pm10
170
so2
8.6
pm25
94
co
2045
no2
23
o3
27
Punjab Agricultural University, Ludhiana - PPCB
index
2022-10-31
so2
5.7
pm25
100
no2
20
pm10
190
co
1675
o3
7.3
RIMT University, Mandi Gobindgarh - PPCB
index
2022-10-31
pm25
60
pm10
142
no2
20
so2
14
co
660
o3
68
Civil Line, Jalandhar - PPCB
2018-03 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
2019-02
2018-11
2018-10
2018-09
2018-08
2018-05
2018-04
2018-03
pm25
42
27
37
62
62
67
76
69
29
31
43
55
46
51
52
71
63
26
32
56
78
55
pm10
72
46
63
107
108
115
131
118
70
112
121
128
113
171
178
112
104
43
52
92
112
103
co
420
319
655
807
760
739
881
829
857
880
1
478
822
906
927
666
754
658
812
954
27
54
o3
23
21
19
25
18
14
15
23
15
15
26
27
18
13
15
17
22
16
24
16
23
17
no2
5.8
9
8.3
15
24
17
36
25
30
20
30
28
28
31
9.1
17
23
26
12
15
8.3
22
so2
9.2
12
11
9.3
8.6
11
13
15
16
34
131
11
23
6.2
11
6.4
7.5
7.6
8.1
-
-
18
Golden Temple, Amritsar - PPCB
2018-03 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
2019-02
2018-11
2018-10
2018-09
2018-08
2018-05
2018-04
2018-03
co
761
746
735
666
624
633
614
442
824
413
371
665
762
849
-
426
66
-
346
799
11
43
o3
37
35
29
34
35
27
14
103
29
17
18
20
32
24
11
18
21
20
32
-
-
28
pm25
27
20
28
73
50
70
78
67
36
30
32
33
36
57
70
47
52
-
-
60
58
62
pm10
79
58
84
127
86
98
155
116
67
56
63
102
90
136
126
126
141
53
53
134
130
108
no2
20
15
12
14
10
12
10
13
11
9.6
12
9.2
17
16
19
31
21
9.5
13
8.5
13
13
so2
9.1
8.8
11
9.7
9.1
8.7
13
11
12
6.6
7.5
9.8
-
-
-
3.4
5.9
3.6
7
6.1
5.6
4.1
Hardev Nagar, Bathinda - PPCB
2018-08 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
2019-02
2018-11
2018-10
2018-09
2018-08
pm25
35
40
27
63
53
59
76
31
29
6.9
13
27
25
22
32
53
41
45
38
pm10
76
55
83
118
92
159
149
111
64
14
45
88
106
124
118
120
100
68
59
no2
18
18
18
18
18
18
23
23
23
23
21
20
21
21
18
14
16
9.6
10
so2
9.6
8.8
8.6
5.3
7.4
7.4
7.1
6.7
6.5
4.6
4.4
15
4.4
5.3
3.1
18
3
6.1
6.6
co
502
1
2
1
1
1
2
2
1
-
1
966
1
953
575
218
200
128
392
Kalal Majra, Khanna - PPCB
2018-04 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
2019-02
2018-11
2018-10
2018-09
2018-08
2018-05
2018-04
pm25
30
23
23
39
58
69
62
54
29
23
29
36
19
33
50
53
51
24
23
42
48
pm10
82
50
51
81
103
156
152
126
53
45
60
100
54
126
106
118
117
50
54
111
161
co
-
-
1.2
-
0.42
0.76
0.74
0.51
0.87
0.88
0.86
0.69
-
0.19
0.35
0.59
0.61
0.41
0.46
0.79
0.78
o3
22
18
17
16
11
8.2
6.9
21
24
13
21
26
16
16
7.5
14
29
26
22
32
43
no2
6.6
6.4
12
13
8.2
26
32
39
8.9
18
28
26
6.5
7.3
8.9
47
46
11
7.6
7.6
15
so2
7.4
7.1
15
13
11
12
21
11
6.5
4.9
4.6
6.2
13
17
9.3
22
13
7.2
4.5
17
37
Model Town, Patiala - PPCB
2018-03 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
2019-05
2019-04
2019-02
2018-11
2018-10
2018-09
2018-08
2018-05
2018-04
2018-03
pm25
24
20
22
46
49
76
67
65
26
13
13
34
51
87
57
50
21
14
36
57
59
pm10
70
51
54
96
93
138
151
133
74
44
41
101
183
209
116
107
64
51
137
113
86
no2
6.9
4.3
5.9
6.7
11
18
38
21
0.09
7.5
19
37
26
23
20
4.8
9.3
11
31
34
21
co
448
408
694
792
904
628
454
661
515
584
430
1
1
855
1
874
438
754
945
26
52
o3
22
18
12
12
7.3
9.7
22
9.3
18
23
27
21
25
12
5.6
13
17
18
19
19
21
so2
9.2
5.3
5.6
8.2
9.6
18
21
5.9
4.8
3.3
3.3
7.7
9.5
5.1
12
7.6
7.2
4.5
-
-
9.6
Punjab Agricultural University, Ludhiana - PPCB
2018-03 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
2019-02
2018-11
2018-10
2018-09
2018-08
2018-05
2018-04
2018-03
co
257
227
384
554
341
630
5.8
13
7.4
-
-
-
-
-
-
543
811
736
696
630
14
24
o3
34
33
19
25
17
15
13
23
21
15
18
16
40
39
19
15
13
23
19
-
4
5.3
pm25
30
20
28
48
43
74
67
69
35
31
37
44
35
47
61
50
59
24
20
62
67
74
no2
100
24
47
30
25
21
33
37
22
20
13
64
49
-
26
11
14
18
13
20
20
27
so2
6
5.5
9.3
9.4
6.7
7
4.8
9
6.7
4.9
5.6
6
11
22
7.4
11
10
8.8
16
13
10
13
pm10
66
44
61
100
87
126
141
122
90
99
84
91
61
90
94
112
91
48
48
129
155
83
RIMT University, Mandi Gobindgarh - PPCB
2017-03 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
2019-02
2018-11
2018-10
2018-09
2018-08
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
pm25
52
30
44
67
100
129
92
63
26
29
19
49
26
52
60
77
-
-
-
48
63
121
63
78
98
150
127
78
37
33
66
77
73
89
no2
8.3
10
12
14
16
13
26
15
-
10
11
11
11
11
-
18
16
14
25
39
17
31
45
26
60
103
37
11
11
12
36
11
32
35
co
798
298
341
426
513
609
677
549
670
628
759
755
392
408
556
665
1
552
479
1
27
68
1
1
1
966
793
871
525
813
783
542
662
522
pm10
129
64
81
151
153
167
191
121
61
55
60
152
80
163
142
129
124
57
64
107
117
109
100
131
160
276
236
155
100
125
173
212
193
202
so2
22
4.5
13
48
28
11
24
11
11
9.1
3
9.7
7.2
9.6
11
12
11
10
37
21
16
21
8.3
13
9.6
8.4
7.8
16
4.2
12
29
22
13
12
o3
20
18
15
17
10
10
12
15
12
11
8.3
22
28
26
22
18
33
18
28
13
23
18
-
-
-
-
-
-
-
-
-
-
-
-
* Pollution data source:
https://openaq.org
(caaqm)
The data is licensed under CC-By 4.0
PM10 144 (Sangat tidak sehat)
SO2 13 (Bagus)
PM2,5 77 (Sangat tidak sehat)
CO 950 (Bagus)
NO2 27 (Bagus)
O3 25 (Bagus)
Data tentang polusi udara dari beberapa hari terakhir di Punjab
| index | 2022-10-31 |
|---|---|
| pm10 | 137 Very Unhealthy |
| so2 | 13 Good |
| pm25 | 75 Very Unhealthy |
| co | 1022 Good |
| no2 | 28 Good |
| o3 | 24 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 | 2019-02 | 2018-11 | 2018-10 | 2018-09 | 2018-08 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| pm25 | 34 (Moderate) | 26 (Moderate) | 30 (Moderate) | 57 (Unhealthy) | 59 (Unhealthy) | 78 (Very Unhealthy) | 74 (Unhealthy) | 60 (Unhealthy) | 30 (Moderate) | 23 (Moderate) | 27 (Moderate) | 41 (Unhealthy for Sensitive Groups) | 31 (Moderate) | 45 (Unhealthy for Sensitive Groups) | 59 (Unhealthy) | 58 (Unhealthy) | 53 (Unhealthy for Sensitive Groups) | 28 (Moderate) | 25 (Moderate) | 51 (Unhealthy for Sensitive Groups) | 62 (Unhealthy) | 74 (Unhealthy) | 63 (Unhealthy) | 78 (Very Unhealthy) | 98 (Very Unhealthy) | 150 (Very bad Hazardous) | 127 (Very bad Hazardous) | 78 (Very Unhealthy) | 37 (Unhealthy for Sensitive Groups) | 33 (Moderate) | 66 (Unhealthy) | 77 (Very Unhealthy) | 73 (Unhealthy) | 89 (Very Unhealthy) |
| pm10 | 82 (Unhealthy) | 53 (Unhealthy for Sensitive Groups) | 68 (Unhealthy for Sensitive Groups) | 111 (Very Unhealthy) | 103 (Unhealthy) | 137 (Very Unhealthy) | 153 (Very bad Hazardous) | 121 (Very Unhealthy) | 69 (Unhealthy for Sensitive Groups) | 61 (Unhealthy for Sensitive Groups) | 68 (Unhealthy for Sensitive Groups) | 110 (Very Unhealthy) | 86 (Unhealthy) | 142 (Very Unhealthy) | 139 (Very Unhealthy) | 119 (Very Unhealthy) | 112 (Very Unhealthy) | 55 (Unhealthy for Sensitive Groups) | 54 (Unhealthy for Sensitive Groups) | 118 (Very Unhealthy) | 131 (Very Unhealthy) | 98 (Unhealthy) | 100 (Unhealthy) | 131 (Very Unhealthy) | 160 (Very bad Hazardous) | 276 (Very bad Hazardous) | 236 (Very bad Hazardous) | 155 (Very bad Hazardous) | 100 (Unhealthy) | 125 (Very Unhealthy) | 173 (Very bad Hazardous) | 212 (Very bad Hazardous) | 193 (Very bad Hazardous) | 202 (Very bad Hazardous) |
| no2 | 24 (Good) | 12 (Good) | 16 (Good) | 16 (Good) | 16 (Good) | 18 (Good) | 28 (Good) | 25 (Good) | 16 (Good) | 15 (Good) | 19 (Good) | 26 (Good) | 24 (Good) | 19 (Good) | 17 (Good) | 23 (Good) | 20 (Good) | 14 (Good) | 13 (Good) | 20 (Good) | 18 (Good) | 23 (Good) | 45 (Moderate) | 26 (Good) | 60 (Moderate) | 103 (Unhealthy for Sensitive Groups) | 37 (Good) | 11 (Good) | 11 (Good) | 12 (Good) | 36 (Good) | 11 (Good) | 32 (Good) | 35 (Good) |
| so2 | 10 (Good) | 7.5 (Good) | 11 (Good) | 15 (Good) | 12 (Good) | 11 (Good) | 15 (Good) | 9.8 (Good) | 9.1 (Good) | 9.6 (Good) | 23 (Good) | 9.7 (Good) | 11 (Good) | 11 (Good) | 7.8 (Good) | 12 (Good) | 8.2 (Good) | 7.3 (Good) | 12 (Good) | 14 (Good) | 17 (Good) | 13 (Good) | 8.3 (Good) | 13 (Good) | 9.6 (Good) | 8.4 (Good) | 7.8 (Good) | 16 (Good) | 4.2 (Good) | 12 (Good) | 29 (Good) | 22 (Good) | 13 (Good) | 12 (Good) |
| co | 531 (Good) | 333 (Good) | 402 (Good) | 541 (Good) | 449 (Good) | 463 (Good) | 376 (Good) | 357 (Good) | 411 (Good) | 501 (Good) | 260 (Good) | 573 (Good) | 396 (Good) | 520 (Good) | 583 (Good) | 360 (Good) | 387 (Good) | 419 (Good) | 497 (Good) | 555 (Good) | 18 (Good) | 48 (Good) | 1 (Good) | 1 (Good) | 1 (Good) | 966 (Good) | 793 (Good) | 871 (Good) | 525 (Good) | 813 (Good) | 783 (Good) | 542 (Good) | 662 (Good) | 522 (Good) |
| o3 | 26 (Good) | 24 (Good) | 18 (Good) | 21 (Good) | 16 (Good) | 14 (Good) | 14 (Good) | 32 (Good) | 20 (Good) | 16 (Good) | 20 (Good) | 22 (Good) | 26 (Good) | 24 (Good) | 14 (Good) | 15 (Good) | 22 (Good) | 20 (Good) | 24 (Good) | 20 (Good) | 22 (Good) | 18 (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) |
Hijau dan taman di kota
Punjab 51%
Nepal: 32% Bangladesh: 33% Bhutan: 82% Sri Lanka: 59% Pakistan: 49%partikulat Matter PM 2.5
Punjab 82 (Very Unhealthy)
Kenikmatan menghabiskan waktu di kota
Punjab 38%
Nepal: 32% Bangladesh: 26% Bhutan: 61% Sri Lanka: 52% Pakistan: 43%partikulat Matter PM10
Punjab 150 (Very bad Hazardous)
Polusi udara
Punjab 68%
Nepal: 76% Bangladesh: 78% Bhutan: 45% Sri Lanka: 53% Pakistan: 64%Pembuangan sampah
Punjab 27%
Nepal: 25% Bangladesh: 22% Bhutan: 47% Sri Lanka: 41% Pakistan: 34%Ketersediaan dan kualitas air minum
Punjab 53%
Nepal: 36% Bangladesh: 44% Bhutan: 64% Sri Lanka: 65% Pakistan: 44%Kebersihan dan kerasnya
Punjab 38%
Nepal: 27% Bangladesh: 23% Bhutan: 57% Sri Lanka: 52% Pakistan: 40%Kebisingan dan polusi cahaya
Punjab 58%
Nepal: 55% Bangladesh: 63% Bhutan: 55% Sri Lanka: 50% Pakistan: 59%Polusi air
Punjab 65%
Nepal: 76% Bangladesh: 74% Bhutan: 56% Sri Lanka: 57% Pakistan: 70%PM10 103 (Tidak sehat)
partikulat Matter (PM10) debu tersuspensiSO2 16 (Bagus)
sulfur dioksida (SO2)PM2,5 56 (Tidak sehat)
partikulat Matter (PM 2.5) debuCO 720 (Bagus)
karbon monoksida (CO)NO2 25 (Bagus)
nitrogen dioksida (NO2)O3 7.2 (Bagus)
ozon (O3)PM10 138 (Sangat tidak sehat)
partikulat Matter (PM10) debu tersuspensiSO2 7.2 (Bagus)
sulfur dioksida (SO2)PM2,5 129 (Sangat buruk berbahaya)
partikulat Matter (PM 2.5) debuCO 580 (Bagus)
karbon monoksida (CO)NO2 58 (Moderat)
nitrogen dioksida (NO2)O3 15 (Bagus)
ozon (O3)CO 950 (Bagus)
karbon monoksida (CO)PM2,5 48 (Tidak sehat untuk kelompok sensitif)
partikulat Matter (PM 2.5) debuPM10 109 (Tidak sehat)
partikulat Matter (PM10) debu tersuspensiNO2 22 (Bagus)
nitrogen dioksida (NO2)SO2 34 (Bagus)
sulfur dioksida (SO2)PM2,5 55 (Tidak sehat untuk kelompok sensitif)
partikulat Matter (PM 2.5) debuPM10 155 (Sangat buruk berbahaya)
partikulat Matter (PM10) debu tersuspensiNO2 23 (Bagus)
nitrogen dioksida (NO2)SO2 8 (Bagus)
sulfur dioksida (SO2)CO 0.75 (Bagus)
karbon monoksida (CO)O3 21 (Bagus)
ozon (O3)PM10 171 (Sangat buruk berbahaya)
partikulat Matter (PM10) debu tersuspensiSO2 8.8 (Bagus)
sulfur dioksida (SO2)PM2,5 93 (Sangat tidak sehat)
partikulat Matter (PM 2.5) debuCO 2060 (Moderat)
karbon monoksida (CO)NO2 21 (Bagus)
nitrogen dioksida (NO2)O3 28 (Bagus)
ozon (O3)SO2 6 (Bagus)
sulfur dioksida (SO2)PM2,5 99 (Sangat tidak sehat)
partikulat Matter (PM 2.5) debuNO2 21 (Bagus)
nitrogen dioksida (NO2)PM10 188 (Sangat buruk berbahaya)
partikulat Matter (PM10) debu tersuspensiCO 1680 (Bagus)
karbon monoksida (CO)O3 8.7 (Bagus)
ozon (O3)PM2,5 60 (Tidak sehat)
partikulat Matter (PM 2.5) debuPM10 142 (Sangat tidak sehat)
partikulat Matter (PM10) debu tersuspensiNO2 20 (Bagus)
nitrogen dioksida (NO2)SO2 14 (Bagus)
sulfur dioksida (SO2)CO 660 (Bagus)
karbon monoksida (CO)O3 68 (Bagus)
ozon (O3)Civil Line, Jalandhar - PPCB
| index | 2022-10-31 |
|---|---|
| pm10 | 104 |
| so2 | 16 |
| pm25 | 56 |
| co | 705 |
| no2 | 25 |
| o3 | 7.1 |
Golden Temple, Amritsar - PPCB
| index | 2022-10-31 |
|---|---|
| pm10 | 126 |
| so2 | 7.7 |
| pm25 | 110 |
| co | 620 |
| no2 | 63 |
| o3 | 15 |
Hardev Nagar, Bathinda - PPCB
| index | 2022-10-31 |
|---|---|
| co | 1450 |
| pm25 | 48 |
| pm10 | 71 |
| no2 | 21 |
| so2 | 34 |
Kalal Majra, Khanna - PPCB
| index | 2022-10-31 |
|---|---|
| pm25 | 55 |
| pm10 | 155 |
| no2 | 23 |
| so2 | 8 |
| co | 0.75 |
| o3 | 21 |
Model Town, Patiala - PPCB
| index | 2022-10-31 |
|---|---|
| pm10 | 170 |
| so2 | 8.6 |
| pm25 | 94 |
| co | 2045 |
| no2 | 23 |
| o3 | 27 |
Punjab Agricultural University, Ludhiana - PPCB
| index | 2022-10-31 |
|---|---|
| so2 | 5.7 |
| pm25 | 100 |
| no2 | 20 |
| pm10 | 190 |
| co | 1675 |
| o3 | 7.3 |
RIMT University, Mandi Gobindgarh - PPCB
| index | 2022-10-31 |
|---|---|
| pm25 | 60 |
| pm10 | 142 |
| no2 | 20 |
| so2 | 14 |
| co | 660 |
| o3 | 68 |
Civil Line, Jalandhar - PPCB
| 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 | 2019-02 | 2018-11 | 2018-10 | 2018-09 | 2018-08 | 2018-05 | 2018-04 | 2018-03 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| pm25 | 42 | 27 | 37 | 62 | 62 | 67 | 76 | 69 | 29 | 31 | 43 | 55 | 46 | 51 | 52 | 71 | 63 | 26 | 32 | 56 | 78 | 55 |
| pm10 | 72 | 46 | 63 | 107 | 108 | 115 | 131 | 118 | 70 | 112 | 121 | 128 | 113 | 171 | 178 | 112 | 104 | 43 | 52 | 92 | 112 | 103 |
| co | 420 | 319 | 655 | 807 | 760 | 739 | 881 | 829 | 857 | 880 | 1 | 478 | 822 | 906 | 927 | 666 | 754 | 658 | 812 | 954 | 27 | 54 |
| o3 | 23 | 21 | 19 | 25 | 18 | 14 | 15 | 23 | 15 | 15 | 26 | 27 | 18 | 13 | 15 | 17 | 22 | 16 | 24 | 16 | 23 | 17 |
| no2 | 5.8 | 9 | 8.3 | 15 | 24 | 17 | 36 | 25 | 30 | 20 | 30 | 28 | 28 | 31 | 9.1 | 17 | 23 | 26 | 12 | 15 | 8.3 | 22 |
| so2 | 9.2 | 12 | 11 | 9.3 | 8.6 | 11 | 13 | 15 | 16 | 34 | 131 | 11 | 23 | 6.2 | 11 | 6.4 | 7.5 | 7.6 | 8.1 | - | - | 18 |
Golden Temple, Amritsar - PPCB
| 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 | 2019-02 | 2018-11 | 2018-10 | 2018-09 | 2018-08 | 2018-05 | 2018-04 | 2018-03 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| co | 761 | 746 | 735 | 666 | 624 | 633 | 614 | 442 | 824 | 413 | 371 | 665 | 762 | 849 | - | 426 | 66 | - | 346 | 799 | 11 | 43 |
| o3 | 37 | 35 | 29 | 34 | 35 | 27 | 14 | 103 | 29 | 17 | 18 | 20 | 32 | 24 | 11 | 18 | 21 | 20 | 32 | - | - | 28 |
| pm25 | 27 | 20 | 28 | 73 | 50 | 70 | 78 | 67 | 36 | 30 | 32 | 33 | 36 | 57 | 70 | 47 | 52 | - | - | 60 | 58 | 62 |
| pm10 | 79 | 58 | 84 | 127 | 86 | 98 | 155 | 116 | 67 | 56 | 63 | 102 | 90 | 136 | 126 | 126 | 141 | 53 | 53 | 134 | 130 | 108 |
| no2 | 20 | 15 | 12 | 14 | 10 | 12 | 10 | 13 | 11 | 9.6 | 12 | 9.2 | 17 | 16 | 19 | 31 | 21 | 9.5 | 13 | 8.5 | 13 | 13 |
| so2 | 9.1 | 8.8 | 11 | 9.7 | 9.1 | 8.7 | 13 | 11 | 12 | 6.6 | 7.5 | 9.8 | - | - | - | 3.4 | 5.9 | 3.6 | 7 | 6.1 | 5.6 | 4.1 |
Hardev Nagar, Bathinda - PPCB
| 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 | 2019-02 | 2018-11 | 2018-10 | 2018-09 | 2018-08 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| pm25 | 35 | 40 | 27 | 63 | 53 | 59 | 76 | 31 | 29 | 6.9 | 13 | 27 | 25 | 22 | 32 | 53 | 41 | 45 | 38 |
| pm10 | 76 | 55 | 83 | 118 | 92 | 159 | 149 | 111 | 64 | 14 | 45 | 88 | 106 | 124 | 118 | 120 | 100 | 68 | 59 |
| no2 | 18 | 18 | 18 | 18 | 18 | 18 | 23 | 23 | 23 | 23 | 21 | 20 | 21 | 21 | 18 | 14 | 16 | 9.6 | 10 |
| so2 | 9.6 | 8.8 | 8.6 | 5.3 | 7.4 | 7.4 | 7.1 | 6.7 | 6.5 | 4.6 | 4.4 | 15 | 4.4 | 5.3 | 3.1 | 18 | 3 | 6.1 | 6.6 |
| co | 502 | 1 | 2 | 1 | 1 | 1 | 2 | 2 | 1 | - | 1 | 966 | 1 | 953 | 575 | 218 | 200 | 128 | 392 |
Kalal Majra, Khanna - PPCB
| 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 | 2019-02 | 2018-11 | 2018-10 | 2018-09 | 2018-08 | 2018-05 | 2018-04 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| pm25 | 30 | 23 | 23 | 39 | 58 | 69 | 62 | 54 | 29 | 23 | 29 | 36 | 19 | 33 | 50 | 53 | 51 | 24 | 23 | 42 | 48 |
| pm10 | 82 | 50 | 51 | 81 | 103 | 156 | 152 | 126 | 53 | 45 | 60 | 100 | 54 | 126 | 106 | 118 | 117 | 50 | 54 | 111 | 161 |
| co | - | - | 1.2 | - | 0.42 | 0.76 | 0.74 | 0.51 | 0.87 | 0.88 | 0.86 | 0.69 | - | 0.19 | 0.35 | 0.59 | 0.61 | 0.41 | 0.46 | 0.79 | 0.78 |
| o3 | 22 | 18 | 17 | 16 | 11 | 8.2 | 6.9 | 21 | 24 | 13 | 21 | 26 | 16 | 16 | 7.5 | 14 | 29 | 26 | 22 | 32 | 43 |
| no2 | 6.6 | 6.4 | 12 | 13 | 8.2 | 26 | 32 | 39 | 8.9 | 18 | 28 | 26 | 6.5 | 7.3 | 8.9 | 47 | 46 | 11 | 7.6 | 7.6 | 15 |
| so2 | 7.4 | 7.1 | 15 | 13 | 11 | 12 | 21 | 11 | 6.5 | 4.9 | 4.6 | 6.2 | 13 | 17 | 9.3 | 22 | 13 | 7.2 | 4.5 | 17 | 37 |
Model Town, Patiala - PPCB
| index | 2020-05 | 2020-04 | 2020-03 | 2020-02 | 2020-01 | 2019-12 | 2019-11 | 2019-10 | 2019-09 | 2019-08 | 2019-07 | 2019-05 | 2019-04 | 2019-02 | 2018-11 | 2018-10 | 2018-09 | 2018-08 | 2018-05 | 2018-04 | 2018-03 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| pm25 | 24 | 20 | 22 | 46 | 49 | 76 | 67 | 65 | 26 | 13 | 13 | 34 | 51 | 87 | 57 | 50 | 21 | 14 | 36 | 57 | 59 |
| pm10 | 70 | 51 | 54 | 96 | 93 | 138 | 151 | 133 | 74 | 44 | 41 | 101 | 183 | 209 | 116 | 107 | 64 | 51 | 137 | 113 | 86 |
| no2 | 6.9 | 4.3 | 5.9 | 6.7 | 11 | 18 | 38 | 21 | 0.09 | 7.5 | 19 | 37 | 26 | 23 | 20 | 4.8 | 9.3 | 11 | 31 | 34 | 21 |
| co | 448 | 408 | 694 | 792 | 904 | 628 | 454 | 661 | 515 | 584 | 430 | 1 | 1 | 855 | 1 | 874 | 438 | 754 | 945 | 26 | 52 |
| o3 | 22 | 18 | 12 | 12 | 7.3 | 9.7 | 22 | 9.3 | 18 | 23 | 27 | 21 | 25 | 12 | 5.6 | 13 | 17 | 18 | 19 | 19 | 21 |
| so2 | 9.2 | 5.3 | 5.6 | 8.2 | 9.6 | 18 | 21 | 5.9 | 4.8 | 3.3 | 3.3 | 7.7 | 9.5 | 5.1 | 12 | 7.6 | 7.2 | 4.5 | - | - | 9.6 |
Punjab Agricultural University, Ludhiana - PPCB
| 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 | 2019-02 | 2018-11 | 2018-10 | 2018-09 | 2018-08 | 2018-05 | 2018-04 | 2018-03 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| co | 257 | 227 | 384 | 554 | 341 | 630 | 5.8 | 13 | 7.4 | - | - | - | - | - | - | 543 | 811 | 736 | 696 | 630 | 14 | 24 |
| o3 | 34 | 33 | 19 | 25 | 17 | 15 | 13 | 23 | 21 | 15 | 18 | 16 | 40 | 39 | 19 | 15 | 13 | 23 | 19 | - | 4 | 5.3 |
| pm25 | 30 | 20 | 28 | 48 | 43 | 74 | 67 | 69 | 35 | 31 | 37 | 44 | 35 | 47 | 61 | 50 | 59 | 24 | 20 | 62 | 67 | 74 |
| no2 | 100 | 24 | 47 | 30 | 25 | 21 | 33 | 37 | 22 | 20 | 13 | 64 | 49 | - | 26 | 11 | 14 | 18 | 13 | 20 | 20 | 27 |
| so2 | 6 | 5.5 | 9.3 | 9.4 | 6.7 | 7 | 4.8 | 9 | 6.7 | 4.9 | 5.6 | 6 | 11 | 22 | 7.4 | 11 | 10 | 8.8 | 16 | 13 | 10 | 13 |
| pm10 | 66 | 44 | 61 | 100 | 87 | 126 | 141 | 122 | 90 | 99 | 84 | 91 | 61 | 90 | 94 | 112 | 91 | 48 | 48 | 129 | 155 | 83 |
RIMT University, Mandi Gobindgarh - PPCB
| 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 | 2019-02 | 2018-11 | 2018-10 | 2018-09 | 2018-08 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| pm25 | 52 | 30 | 44 | 67 | 100 | 129 | 92 | 63 | 26 | 29 | 19 | 49 | 26 | 52 | 60 | 77 | - | - | - | 48 | 63 | 121 | 63 | 78 | 98 | 150 | 127 | 78 | 37 | 33 | 66 | 77 | 73 | 89 |
| no2 | 8.3 | 10 | 12 | 14 | 16 | 13 | 26 | 15 | - | 10 | 11 | 11 | 11 | 11 | - | 18 | 16 | 14 | 25 | 39 | 17 | 31 | 45 | 26 | 60 | 103 | 37 | 11 | 11 | 12 | 36 | 11 | 32 | 35 |
| co | 798 | 298 | 341 | 426 | 513 | 609 | 677 | 549 | 670 | 628 | 759 | 755 | 392 | 408 | 556 | 665 | 1 | 552 | 479 | 1 | 27 | 68 | 1 | 1 | 1 | 966 | 793 | 871 | 525 | 813 | 783 | 542 | 662 | 522 |
| pm10 | 129 | 64 | 81 | 151 | 153 | 167 | 191 | 121 | 61 | 55 | 60 | 152 | 80 | 163 | 142 | 129 | 124 | 57 | 64 | 107 | 117 | 109 | 100 | 131 | 160 | 276 | 236 | 155 | 100 | 125 | 173 | 212 | 193 | 202 |
| so2 | 22 | 4.5 | 13 | 48 | 28 | 11 | 24 | 11 | 11 | 9.1 | 3 | 9.7 | 7.2 | 9.6 | 11 | 12 | 11 | 10 | 37 | 21 | 16 | 21 | 8.3 | 13 | 9.6 | 8.4 | 7.8 | 16 | 4.2 | 12 | 29 | 22 | 13 | 12 |
| o3 | 20 | 18 | 15 | 17 | 10 | 10 | 12 | 15 | 12 | 11 | 8.3 | 22 | 28 | 26 | 22 | 18 | 33 | 18 | 28 | 13 | 23 | 18 | - | - | - | - | - | - | - | - | - | - | - | - |