Wie ist die Luftqualität Bengaluru Urban heute? Ist die Luft in Bengaluru Urban? verschmutzt. Gibt es Smog?
Wie hoch ist der CO-Gehalt? (Kohlenmonoxid (CO))
490 (gut)
Wie hoch ist die SO2-Belastung? (Schwefeldioxid (SO2))
7 (gut)
Wie hoch ist der PM10-Stand heute in Bengaluru Urban? (Feinstaub (PM10) Schwebestaub)
Der aktuelle Feinstaubgehalt PM10 in Bengaluru Urban is:
89 (ungesund)
Die höchsten PM10-Werte treten in der Regel im Monat auf: 172 (April 2016).
Der niedrigste Wert der Feinstaub-PM10-Belastung in Bengaluru Urban ist in der Regel in: Mai (40).
Wie hoch ist das NO2-Niveau? (Stickstoffdioxid (NO2))
23 (gut)
Wie ist das O3-Niveau heute in Bengaluru Urban? (Ozon (O3))
22 (gut)
Wie hoch ist der aktuelle PM2,5-Wert in Bengaluru Urban? (Feinstaub (PM2,5))
Die heutige PM2.5-Stufe ist:
58 (ungesund)
Zum Vergleich: Der höchste PM2,5-Wert in Bengaluru Urban in den letzten 7 Tagen war: 68 (Montag, 31. Oktober 2022) und der niedrigste: 21 (Montag, 10. Oktober 2022).
Die höchsten PM2,5-Werte wurden gemessen: 85 (März 2018).
Die niedrigste Feinstaubbelastung PM2,5 tritt im Monat auf: August (16).
CO 490 (gut)
SO2 7 (gut)
PM10 89 (ungesund)
NO2 23 (gut)
O3 22 (gut)
PM2,5 58 (ungesund)
index | 2022-10-07 | 2022-10-08 | 2022-10-09 | 2022-10-10 | 2022-10-11 | 2022-10-12 | 2022-10-13 | 2022-10-14 | 2022-10-31 |
---|---|---|---|---|---|---|---|---|---|
so2 | 6 Good |
7 Good |
6 Good |
6 Good |
5 Good |
5 Good |
5 Good |
5 Good |
7 Good |
pm10 | 59 Unhealthy for Sensitive Groups |
61 Unhealthy for Sensitive Groups |
72 Unhealthy for Sensitive Groups |
43 Moderate |
54 Unhealthy for Sensitive Groups |
50 Unhealthy for Sensitive Groups |
53 Unhealthy for Sensitive Groups |
52 Unhealthy for Sensitive Groups |
96 Unhealthy |
o3 | 18 Good |
19 Good |
16 Good |
17 Good |
18 Good |
17 Good |
17 Good |
18 Good |
20 Good |
co | 200 Good |
200 Good |
200 Good |
200 Good |
199 Good |
199 Good |
199 Good |
199 Good |
555 Good |
pm25 | 23 Moderate |
24 Moderate |
24 Moderate |
21 Moderate |
24 Moderate |
23 Moderate |
23 Moderate |
23 Moderate |
68 Unhealthy |
no2 | 18 Good |
17 Good |
19 Good |
18 Good |
18 Good |
19 Good |
20 Good |
18 Good |
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 | 2019-04 | 2019-02 | 2018-11 | 2018-10 | 2018-09 | 2018-08 | 2018-05 | 2018-04 | 2018-03 | 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 | 2019-06 | 2018-02 | 2018-01 | 2017-12 | 2019-05 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
pm25 | 25 (Moderate) | 26 (Moderate) | 36 (Unhealthy for Sensitive Groups) | 39 (Unhealthy for Sensitive Groups) | 38 (Unhealthy for Sensitive Groups) | 35 (Moderate) | 30 (Moderate) | 24 (Moderate) | 18 (Moderate) | 16 (Moderate) | 20 (Moderate) | 52 (Unhealthy for Sensitive Groups) | 51 (Unhealthy for Sensitive Groups) | 45 (Unhealthy for Sensitive Groups) | 41 (Unhealthy for Sensitive Groups) | 26 (Moderate) | 18 (Moderate) | 39 (Unhealthy for Sensitive Groups) | 73 (Unhealthy) | 85 (Very Unhealthy) | 30 (Moderate) | 42 (Unhealthy for Sensitive Groups) | 21 (Moderate) | 23 (Moderate) | 24 (Moderate) | 19 (Moderate) | 30 (Moderate) | 41 (Unhealthy for Sensitive Groups) | 36 (Unhealthy for Sensitive Groups) | 37 (Unhealthy for Sensitive Groups) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | 20 (Moderate) | - (Good) | - (Good) | - (Good) | 33 (Moderate) |
no2 | 16 (Good) | 11 (Good) | 22 (Good) | 32 (Good) | 36 (Good) | 28 (Good) | 29 (Good) | 28 (Good) | 22 (Good) | 21 (Good) | 23 (Good) | 34 (Good) | 35 (Good) | 36 (Good) | 34 (Good) | 32 (Good) | 20 (Good) | 24 (Good) | 36 (Good) | 41 (Moderate) | 36 (Good) | 28 (Good) | 26 (Good) | 23 (Good) | 39 (Good) | 26 (Good) | 27 (Good) | 30 (Good) | 35 (Good) | 47 (Moderate) | 39 (Good) | 42 (Moderate) | 36 (Good) | 33 (Good) | 30 (Good) | 19 (Good) | 20 (Good) | 22 (Good) | 22 (Good) | 25 (Good) | 30 (Good) | 19 (Good) | 33 (Good) | 41 (Moderate) | 58 (Moderate) | 24 (Good) |
so2 | 6.6 (Good) | 5.8 (Good) | 7.1 (Good) | 7.4 (Good) | 7 (Good) | 11 (Good) | 5.9 (Good) | 5.3 (Good) | 5.1 (Good) | 4.5 (Good) | 8.4 (Good) | 5.1 (Good) | 4.8 (Good) | 7.5 (Good) | 7.9 (Good) | 8.3 (Good) | 7.5 (Good) | 7.4 (Good) | 13 (Good) | 7.4 (Good) | 4.2 (Good) | 4 (Good) | 11 (Good) | 5.2 (Good) | 5.9 (Good) | 4.9 (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | 3.6 (Good) | 4 (Good) | 3.9 (Good) | 3.7 (Good) | 4.6 (Good) |
co | 480 (Good) | 368 (Good) | 350 (Good) | 274 (Good) | 262 (Good) | 366 (Good) | 334 (Good) | 239 (Good) | 200 (Good) | 273 (Good) | 311 (Good) | 273 (Good) | 473 (Good) | 148 (Good) | 430 (Good) | 305 (Good) | 284 (Good) | 460 (Good) | 209 (Good) | 48 (Good) | 326 (Good) | 530 (Good) | 468 (Good) | 345 (Good) | 313 (Good) | 363 (Good) | 604 (Good) | 556 (Good) | 522 (Good) | 424 (Good) | 463 (Good) | 318 (Good) | 278 (Good) | 556 (Good) | 558 (Good) | 520 (Good) | 420 (Good) | 474 (Good) | 709 (Good) | 363 (Good) | 342 (Good) | 102 (Good) | 230 (Good) | 237 (Good) | 248 (Good) | 602 (Good) |
o3 | 41 (Good) | 46 (Good) | 48 (Good) | 45 (Good) | 45 (Good) | 36 (Good) | 35 (Good) | 29 (Good) | 28 (Good) | 21 (Good) | 29 (Good) | 57 (Good) | 55 (Good) | 26 (Good) | 24 (Good) | 23 (Good) | 14 (Good) | 40 (Good) | 46 (Good) | 40 (Good) | 19 (Good) | 24 (Good) | 23 (Good) | 37 (Good) | 11 (Good) | 17 (Good) | 44 (Good) | 45 (Good) | 57 (Good) | 58 (Good) | 51 (Good) | 30 (Good) | 44 (Good) | 28 (Good) | 21 (Good) | 21 (Good) | 27 (Good) | 27 (Good) | - (Good) | - (Good) | - (Good) | 39 (Good) | - (Good) | - (Good) | - (Good) | 39 (Good) |
pm10 | 65 (Unhealthy for Sensitive Groups) | 49 (Moderate) | 82 (Unhealthy) | 94 (Unhealthy) | 85 (Unhealthy) | 74 (Unhealthy for Sensitive Groups) | 66 (Unhealthy for Sensitive Groups) | 55 (Unhealthy for Sensitive Groups) | 53 (Unhealthy for Sensitive Groups) | 48 (Moderate) | 55 (Unhealthy for Sensitive Groups) | 107 (Unhealthy) | 93 (Unhealthy) | 95 (Unhealthy) | 95 (Unhealthy) | 68 (Unhealthy for Sensitive Groups) | 57 (Unhealthy for Sensitive Groups) | 104 (Unhealthy) | 111 (Very Unhealthy) | 117 (Very Unhealthy) | 64 (Unhealthy for Sensitive Groups) | 74 (Unhealthy for Sensitive Groups) | 61 (Unhealthy for Sensitive Groups) | 53 (Unhealthy for Sensitive Groups) | 73 (Unhealthy for Sensitive Groups) | 61 (Unhealthy for Sensitive Groups) | 51 (Unhealthy for Sensitive Groups) | 72 (Unhealthy for Sensitive Groups) | 68 (Unhealthy for Sensitive Groups) | 72 (Unhealthy for Sensitive Groups) | 79 (Unhealthy for Sensitive Groups) | 87 (Unhealthy) | 94 (Unhealthy) | 87 (Unhealthy) | 50 (Unhealthy for Sensitive Groups) | 47 (Moderate) | 58 (Unhealthy for Sensitive Groups) | 54 (Unhealthy for Sensitive Groups) | 40 (Moderate) | 172 (Very bad Hazardous) | 166 (Very bad Hazardous) | 56 (Unhealthy for Sensitive Groups) | 104 (Unhealthy) | 100 (Unhealthy) | 77 (Unhealthy for Sensitive Groups) | 92 (Unhealthy) |
Grün und Parks in der Stadt
Bengaluru Urban 49 %
Népal: 32 % Bangladesch: 33 % Bhutan: 82 % Sri Lanka: 59 % Pakistan: 49 %Feinstaub PM2,5
Bengaluru Urban 46 (Unhealthy for Sensitive Groups)
Vergnügen, Zeit in der Stadt zu verbringen
Bengaluru Urban 32 %
Népal: 32 % Bangladesch: 26 % Bhutan: 61 % Sri Lanka: 52 % Pakistan: 43 %Feinstaub PM10
Bengaluru Urban 96 (Unhealthy)
Luftverschmutzung
Bengaluru Urban 72 %
Népal: 76 % Bangladesch: 78 % Bhutan: 45 % Sri Lanka: 53 % Pakistan: 64 %Müllentsorgung
Bengaluru Urban 24 %
Népal: 25 % Bangladesch: 22 % Bhutan: 47 % Sri Lanka: 41 % Pakistan: 34 %Verfügbarkeit und Qualität von Trinkwasser
Bengaluru Urban 37 %
Népal: 36 % Bangladesch: 44 % Bhutan: 64 % Sri Lanka: 65 % Pakistan: 44 %Sauberkeit und Ordentlichkeit
Bengaluru Urban 29 %
Népal: 27 % Bangladesch: 23 % Bhutan: 57 % Sri Lanka: 52 % Pakistan: 40 %Lärm und Lichtverschmutzung
Bengaluru Urban 66 %
Népal: 55 % Bangladesch: 63 % Bhutan: 55 % Sri Lanka: 50 % Pakistan: 59 %Wasserverschmutzung
Bengaluru Urban 78 %
Népal: 76 % Bangladesch: 74 % Bhutan: 56 % Sri Lanka: 57 % Pakistan: 70 %CO 400 (gut)
Kohlenmonoxid (CO)SO2 7.3 (gut)
Schwefeldioxid (SO2)PM10 50 (Moderate)
Feinstaub (PM10) SchwebestaubNO2 15 (gut)
Stickstoffdioxid (NO2)O3 19 (gut)
Ozon (O3)PM2,5 26 (Moderate)
Feinstaub (PM2,5)SO2 4.4 (gut)
Schwefeldioxid (SO2)PM2,5 114 (Sehr schlecht Gefährlich)
Feinstaub (PM2,5)O3 5.5 (gut)
Ozon (O3)NO2 20 (gut)
Stickstoffdioxid (NO2)CO 1.5 (gut)
Kohlenmonoxid (CO)PM10 170 (Sehr schlecht Gefährlich)
Feinstaub (PM10) SchwebestaubSO2 17 (gut)
Schwefeldioxid (SO2)NO2 23 (gut)
Stickstoffdioxid (NO2)PM10 77 (Ungesund für sensible Gruppen)
Feinstaub (PM10) SchwebestaubCO 1420 (gut)
Kohlenmonoxid (CO)PM10 94 (ungesund)
Feinstaub (PM10) SchwebestaubCO 610 (gut)
Kohlenmonoxid (CO)PM2,5 67 (ungesund)
Feinstaub (PM2,5)O3 17 (gut)
Ozon (O3)NO2 27 (gut)
Stickstoffdioxid (NO2)SO2 3.2 (gut)
Schwefeldioxid (SO2)NO2 27 (gut)
Stickstoffdioxid (NO2)CO 0.76 (gut)
Kohlenmonoxid (CO)O3 30 (gut)
Ozon (O3)PM10 67 (Ungesund für sensible Gruppen)
Feinstaub (PM10) SchwebestaubSO2 4.3 (gut)
Schwefeldioxid (SO2)PM2,5 29 (Moderate)
Feinstaub (PM2,5)PM10 104 (ungesund)
Feinstaub (PM10) SchwebestaubSO2 7.3 (gut)
Schwefeldioxid (SO2)PM2,5 63 (ungesund)
Feinstaub (PM2,5)O3 31 (gut)
Ozon (O3)NO2 22 (gut)
Stickstoffdioxid (NO2)CO 0.66 (gut)
Kohlenmonoxid (CO)PM10 65 (Ungesund für sensible Gruppen)
Feinstaub (PM10) SchwebestaubSO2 6.2 (gut)
Schwefeldioxid (SO2)O3 23 (gut)
Ozon (O3)CO 630 (gut)
Kohlenmonoxid (CO)NO2 32 (gut)
Stickstoffdioxid (NO2)PM2,5 51 (Ungesund für sensible Gruppen)
Feinstaub (PM2,5)PM10 44 (Moderate)
Feinstaub (PM10) SchwebestaubNO2 22 (gut)
Stickstoffdioxid (NO2)SO2 5.2 (gut)
Schwefeldioxid (SO2)CO 760 (gut)
Kohlenmonoxid (CO)PM10 134 (Sehr ungesund)
Feinstaub (PM10) SchwebestaubSO2 5.8 (gut)
Schwefeldioxid (SO2)PM2,5 55 (ungesund)
Feinstaub (PM2,5)O3 25 (gut)
Ozon (O3)NO2 23 (gut)
Stickstoffdioxid (NO2)CO 590 (gut)
Kohlenmonoxid (CO)BTM Layout, Bengaluru - CPCB
index | 2022-10-14 | 2022-10-13 | 2022-10-12 | 2022-10-11 | 2022-10-10 | 2022-10-09 | 2022-10-08 | 2022-10-07 |
---|---|---|---|---|---|---|---|---|
so2 | 6 | 5 | 5.2 | 6.3 | 8.2 | 8.1 | 8.1 | 8.2 |
pm10 | 58 | 58 | 54 | 58 | 52 | 91 | 72 | 71 |
o3 | 19 | 19 | 19 | 19 | 19 | 19 | 19 | 19 |
co | 397 | 398 | 397 | 398 | 399 | 400 | 399 | 400 |
pm25 | 25 | 25 | 25 | 25 | 25 | 25 | 25 | 25 |
no2 | 15 | 15 | 14 | 15 | 14 | 15 | 15 | 14 |
Bapuji Nagar, Bengaluru - KSPCB
index | 2022-10-31 |
---|---|
so2 | 4.3 |
pm25 | 102 |
o3 | 5 |
no2 | 20 |
co | 1.3 |
pm10 | 170 |
City Railway Station, Bengaluru - KSPCB
index | 2022-10-31 |
---|---|
so2 | 17 |
no2 | 24 |
pm10 | 74 |
co | 1430 |
Hebbal, Bengaluru - KSPCB
index | 2022-10-31 |
---|---|
pm10 | 94 |
co | 520 |
pm25 | 69 |
o3 | 19 |
no2 | 25 |
so2 | 3.1 |
Hombegowda Nagar, Bengaluru - KSPCB
index | 2022-10-14 | 2022-10-13 | 2022-10-12 | 2022-10-11 | 2022-10-10 | 2022-10-09 | 2022-10-08 | 2022-10-07 |
---|---|---|---|---|---|---|---|---|
no2 | 21 | 25 | 24 | 22 | 22 | 23 | 20 | 21 |
pm10 | 47 | 48 | 46 | 51 | 35 | 52 | 50 | 48 |
pm25 | 21 | 21 | 20 | 22 | 16 | 23 | 22 | 21 |
co | 0.32 | 0.54 | 0.7 | 0.49 | 0.52 | 0.49 | 0.52 | 0.51 |
so2 | 4.9 | 5.6 | 5.3 | 4.5 | 4.1 | 4.7 | 4.9 | 4.6 |
o3 | 17 | 15 | 15 | 17 | 16 | 14 | 19 | 17 |
Jayanagar 5th Block, Bengaluru - KSPCB
index | 2022-10-31 |
---|---|
pm10 | 98 |
so2 | 7.3 |
pm25 | 64 |
o3 | 30 |
no2 | 20 |
co | 0.46 |
Peenya, Bengaluru - CPCB
index | 2022-10-31 |
---|---|
pm10 | 65 |
so2 | 5.8 |
o3 | 23 |
co | 630 |
no2 | 32 |
pm25 | 51 |
Sanegurava Halli, Bengaluru - KSPCB
index | 2022-10-31 |
---|---|
pm10 | 44 |
no2 | 22 |
so2 | 5.2 |
co | 760 |
Silk Board, Bengaluru - KSPCB
index | 2022-10-31 |
---|---|
pm10 | 125 |
so2 | 5.7 |
pm25 | 56 |
o3 | 24 |
no2 | 23 |
co | 540 |
BTM Layout, Bengaluru - CPCB
index | 2020-05 | 2020-04 | 2020-03 | 2020-02 | 2020-01 | 2019-12 | 2019-11 | 2019-10 | 2019-09 | 2019-08 | 2019-07 | 2019-04 | 2019-02 | 2018-11 | 2018-10 | 2018-09 | 2018-08 | 2018-05 | 2018-04 | 2018-03 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
co | 960 | 879 | 976 | 748 | 697 | 603 | 617 | 1 | 844 | 774 | 747 | 1 | 674 | 1 | 732 | 514 | 592 | 618 | 755 | 40 |
o3 | 34 | 38 | 36 | 39 | 33 | 26 | 37 | 18 | 19 | 17 | 21 | 48 | 57 | 32 | 22 | 19 | 16 | 40 | 46 | 40 |
pm25 | 23 | 31 | 29 | 32 | 25 | 28 | 27 | 28 | 24 | 21 | 28 | 88 | 62 | 60 | 20 | 18 | 12 | 42 | 78 | 67 |
no2 | 22 | 19 | 27 | 31 | 51 | 8.9 | 13 | 27 | 15 | 15 | 16 | 24 | 21 | 28 | 35 | 26 | 18 | 31 | 19 | 35 |
so2 | 7.3 | 6.2 | 6.6 | 5.1 | 5.8 | 45 | 6.6 | 7 | 3.4 | 4.5 | 8.9 | 5.8 | 4.4 | 11 | 9 | 9.8 | 8.1 | 6.8 | 6.3 | 5.2 |
BTM Layout
index | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
co | 1 | 850 | 589 | 332 | 319 | 541 | 758 | 500 | 431 | 551 | 729 | 1 | 1 | 689 | 338 | 307 | 280 | 758 | 835 | 464 | 61 |
no2 | 34 | 21 | 16 | 15 | 14 | 18 | 19 | 22 | 22 | 22 | 21 | 23 | 21 | 19 | 19 | 18 | 16 | 18 | 22 | 19 | 15 |
o3 | 19 | 24 | 23 | 37 | 11 | 17 | 44 | 45 | 57 | 70 | 60 | 39 | 49 | 34 | 19 | 14 | 15 | 22 | - | - | - |
pm25 | 24 | 26 | 17 | 14 | 15 | 15 | 24 | 44 | 33 | 33 | - | - | - | - | - | - | - | - | - | - | - |
so2 | 4.9 | 3.6 | 14 | 10 | 12 | 3.9 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
BWSSB Kadabesanahalli
index | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
no2 | 22 | 21 | 23 | 26 | 23 | 25 | 32 | 33 | 21 | 20 | 23 | 17 | 33 | 36 | 36 | 29 | 27 | 24 | 32 | 26 | 36 |
co | 393 | 415 | 350 | 320 | 310 | 396 | 507 | 490 | 506 | 421 | 438 | 1 | 1 | 489 | 800 | 486 | 256 | 70 | 709 | 1 | 476 |
o3 | - | - | - | - | - | - | - | - | - | 46 | 42 | 21 | 39 | 23 | 23 | 28 | 38 | 32 | - | - | - |
pm25 | 12 | 56 | 15 | 6.6 | 16 | 13 | 22 | 27 | 24 | 32 | - | - | - | - | - | - | - | - | - | - | - |
so2 | 2.1 | 3 | 29 | 3.1 | 3.1 | 2.8 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Bapuji Nagar, Bengaluru - KSPCB
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 | 2019-04 | 2019-02 | 2018-11 | 2018-10 | 2018-09 | 2018-08 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
pm25 | 24 | 25 | 34 | 35 | 36 | 35 | 41 | 30 | 22 | 21 | 28 | 35 | 60 | 55 | 49 | 44 | 33 | 27 |
pm10 | 52 | 40 | 68 | 87 | 83 | 76 | 86 | 60 | 45 | 44 | 52 | 61 | 100 | 115 | 99 | 100 | 75 | 62 |
no2 | 13 | 9.3 | 23 | 49 | 45 | 47 | 33 | 33 | 21 | 19 | 22 | 23 | 64 | 78 | 54 | 41 | 28 | 19 |
co | 0.62 | 0.43 | 0.61 | 0.72 | 0.68 | 0.74 | 0.82 | 0.69 | 0.47 | 0.39 | 0.36 | 0.32 | 0.65 | 1.1 | 1.2 | 1.1 | 0.83 | 0.76 |
o3 | 53 | 53 | 58 | 44 | 74 | 48 | 43 | 41 | 23 | 9.7 | 16 | 24 | 67 | 63 | 11 | 14 | 10 | 4.9 |
so2 | 8.4 | 8.6 | 11 | 9.5 | 8.5 | 8.3 | 2.9 | 3.1 | 3.3 | 3.1 | 2.9 | 2.9 | 8.4 | 7.5 | 8.6 | 8.4 | 8.1 | 8.2 |
City Railway Station - KSPCB
index | 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 | 2016-04 | 2016-03 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
pm10 | 151 | 136 | 101 | 85 | 100 | 83 | 77 | 98 | 82 | 66 | 91 | 89 | 94 | 111 | 131 | 138 | 129 | 70 | 62 | 92 | 73 | 212 | 162 |
co | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 759 | 932 | 771 | 1 | 1 | 1 | 809 | 2 | 655 | 702 | 606 | 686 | 1 | 1 |
no2 | 35 | 42 | 85 | 84 | 57 | 49 | 38 | 44 | 47 | 36 | 38 | 55 | 117 | 72 | 86 | 42 | 45 | 26 | 28 | 36 | 36 | 41 | 27 |
so2 | 5.1 | 6 | 6 | 7 | 7.2 | 7.2 | 7.2 | 7.9 | 7.3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
City Railway Station, Bengaluru - KSPCB
index | 2020-05 | 2020-04 | 2020-03 | 2020-02 | 2020-01 | 2019-12 | 2019-11 | 2019-10 | 2019-09 | 2019-08 | 2019-07 | 2019-04 | 2018-11 | 2018-10 | 2018-09 | 2018-08 | 2018-05 | 2018-04 | 2018-03 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
pm10 | 86 | 86 | 125 | 125 | 93 | 103 | 76 | 97 | 103 | 97 | 105 | 167 | 125 | 154 | 104 | 88 | 104 | 135 | 141 |
no2 | 10 | 14 | 45 | 52 | 51 | 42 | 65 | 42 | 46 | 38 | 39 | 45 | 47 | 63 | 34 | 24 | 29 | 73 | 74 |
co | 795 | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 37 | 80 |
so2 | 6.6 | 8 | 9.8 | 9.7 | 9.9 | 10 | 9.8 | 7.4 | 7.9 | 7.6 | 12 | 6.6 | 9.6 | 8.3 | 7.8 | 9 | 7.6 | 36 | 11 |
Hebbal, Bengaluru - KSPCB
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 | 2019-04 | 2018-11 | 2018-10 | 2018-09 | 2018-08 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
pm25 | 23 | 24 | 32 | 34 | 42 | 40 | 32 | 23 | 15 | 9.8 | 12 | 15 | 45 | 49 | 30 | 19 | 11 |
pm10 | 62 | 48 | 77 | 83 | 86 | 81 | 71 | 44 | 32 | 26 | 35 | 43 | 101 | 89 | 62 | 42 | 29 |
no2 | 3.2 | 2.5 | 6.9 | 24 | 34 | 28 | 23 | 29 | 13 | 12 | 8.6 | 2.7 | 37 | 40 | 22 | 19 | 7.6 |
co | 593 | 590 | 739 | 809 | 805 | 876 | 812 | 738 | 588 | 565 | 978 | 510 | 1 | 1 | 990 | 700 | 381 |
o3 | 49 | 48 | 50 | 40 | 38 | 27 | 25 | 27 | 30 | 22 | 30 | 31 | 48 | 16 | 14 | 23 | 16 |
so2 | 9.4 | 8.4 | 8.7 | 9.7 | 11 | 9.7 | 8.3 | 5.8 | 9.1 | 5.4 | 3.4 | 3.8 | 3.6 | 4.1 | 3.5 | 4.7 | 3.9 |
Hombegowda Nagar, Bengaluru - KSPCB
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 | 23 | 25 | 40 | 40 | 36 | 31 | 26 | 12 | 10 | 10 | 12 | 14 | 30 | 38 | 49 | 34 | 32 | 19 | 11 |
pm10 | 56 | 43 | 77 | 82 | 83 | 64 | 54 | 29 | 33 | 34 | 36 | 45 | 84 | 97 | 103 | 70 | 74 | 46 | 30 |
so2 | 12 | 11 | 11 | 11 | 11 | 11 | 11 | 11 | 11 | 7.7 | 1.3 | 2.2 | 2.2 | 2.5 | 2.8 | 2.2 | 2.1 | 9.2 | 11 |
co | 1.4 | 1.3 | 1.3 | 1.3 | 1.2 | 1.2 | 1.3 | 0.91 | 0.67 | 0.44 | 0.41 | 0.39 | 0.57 | 0.79 | 0.77 | 0.82 | 0.57 | 0.79 | 0.62 |
o3 | 35 | 61 | 65 | 71 | 62 | 56 | 51 | 32 | 31 | 30 | 33 | 32 | 34 | 58 | 53 | 49 | 57 | 47 | 21 |
no2 | 36 | 7.5 | 15 | 21 | 21 | 18 | 18 | 15 | 9.6 | 7.9 | 8.2 | 8.7 | 11 | 20 | 32 | 17 | 21 | 66 | 42 |
Jayanagar 5th Block, Bengaluru - KSPCB
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 | 2018-11 | 2018-10 | 2018-09 | 2018-08 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
pm25 | 25 | 24 | 38 | 43 | 38 | 38 | 35 | 28 | 18 | 9.9 | 9.8 | 13 | 23 | 39 | 53 | 71 | 21 | 12 |
pm10 | 52 | 41 | 75 | 107 | 101 | 80 | 77 | 59 | 44 | 33 | 42 | 51 | 81 | 108 | 98 | 122 | 52 | 34 |
no2 | 26 | 19 | 31 | 44 | 46 | 45 | 46 | 37 | 21 | 25 | 23 | 26 | 23 | 32 | 51 | 53 | 45 | 14 |
so2 | - | 1.8 | - | - | 3.5 | 3.5 | 3.4 | 3.3 | 3.3 | 3.4 | 3.4 | 3.5 | 3.2 | 3.4 | 6.2 | 11 | 9.5 | 9.7 |
co | 0.61 | 0.47 | 0.91 | 1.4 | 1.4 | 1.5 | 1.2 | 1 | 0.7 | 0.69 | 0.68 | 0.6 | - | 0.8 | 1.8 | 1.7 | 0.8 | 0.6 |
o3 | 46 | 40 | 42 | 41 | 36 | 33 | 25 | 31 | 35 | 21 | 36 | 47 | 57 | 75 | 24 | 25 | 25 | 16 |
Peenya, Bengaluru - CPCB
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 | 38 | 36 | 44 | 45 | 45 | 39 | 24 | 27 | 21 | 20 | 28 | 40 | 51 | 38 | 31 | 47 | 34 | 24 | 35 | 69 | 103 |
no2 | 8.7 | 6.2 | 13 | 26 | 36 | 32 | 30 | 29 | 29 | 30 | 30 | 16 | 20 | 23 | 36 | 26 | 15 | 14 | 12 | 16 | 17 |
so2 | 3.8 | 3.6 | 3.4 | 3.4 | 3.4 | 5.1 | 6.6 | 4.2 | 3.2 | 3.3 | 5.5 | 3.3 | 3.3 | 3.1 | 9.4 | 11 | 10 | 6.6 | 7.7 | 7 | 8.9 |
co | 976 | 876 | 965 | 1 | 1 | 1 | 1 | 989 | 1 | 776 | 735 | 831 | 882 | 864 | 733 | 411 | 692 | 748 | 760 | 17 | 40 |
Peenya
index | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
co | 797 | 841 | 756 | 437 | 396 | 367 | 470 | 325 | 341 | 491 | 500 | 985 | 1 | 987 | 510 | 491 | 432 | - | 892 | 922 | 707 |
no2 | 22 | 23 | 21 | 22 | 99 | 24 | 25 | 23 | 36 | 25 | 23 | 20 | 26 | 24 | 57 | 8 | 8 | 18 | 15 | 20 | 26 |
pm25 | 55 | 43 | 31 | 48 | 40 | 30 | 43 | 53 | 50 | 45 | - | - | - | - | - | - | - | - | - | - | - |
so2 | 4.5 | 4.4 | 4.2 | 3.9 | 5 | 8.7 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Sanegurava Halli, Bengaluru - KSPCB
index | 2020-05 | 2020-04 | 2020-03 | 2020-02 | 2020-01 | 2019-12 | 2019-11 | 2019-10 | 2019-09 | 2019-08 | 2019-07 | 2019-04 | 2019-02 | 2018-11 | 2018-10 | 2018-09 | 2018-08 | 2018-04 | 2018-03 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
pm10 | 95 | 39 | 71 | 74 | 43 | 42 | 41 | 47 | 46 | 27 | 35 | 72 | 51 | 96 | 62 | 44 | 34 | 88 | 93 |
no2 | 17 | 17 | 17 | 17 | 12 | 13 | 8.9 | 10 | 6.9 | 9.3 | 15 | 9.6 | 32 | 28 | 20 | 16 | 11 | 34 | 38 |
so2 | 4.2 | 3.4 | 4.3 | 8 | 7.4 | 4.2 | 3.2 | 4.7 | 3.8 | 2.7 | 32 | 3.8 | 6.3 | 3.4 | 3 | 2.5 | 2.7 | 3.5 | 4 |
co | 443 | 444 | 462 | 906 | 854 | 900 | 895 | 416 | 366 | 342 | 337 | 632 | 642 | 590 | 904 | 833 | 829 | 26 | 33 |
SaneguravaHalli - KSPCB
index | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
co | 458 | 473 | 494 | 436 | 541 | 643 | 633 | 538 | 512 | 528 | 532 | 562 | 656 | 648 | 603 | 580 | 611 | 485 | 613 | 525 | 380 | 399 | 428 | 463 |
no2 | 31 | 39 | 30 | 20 | 18 | 19 | 15 | 15 | 16 | 25 | 33 | 39 | 52 | 58 | 64 | 59 | 41 | 12 | 12 | 13 | 12 | 17 | 17 | 46 |
pm10 | 58 | 64 | 53 | 44 | 49 | 40 | 30 | 48 | 40 | 36 | 53 | 47 | 49 | 46 | 42 | 49 | 44 | 31 | 33 | 25 | 35 | 40 | 131 | 170 |
so2 | 2.9 | 1.9 | 1.4 | 2.3 | 2 | 2.8 | 1.4 | 1.9 | 2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Silk Board, Bengaluru - KSPCB
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 | 21 | 21 | 35 | 42 | 44 | 32 | 24 | 20 | 21 | 20 | 21 | 21 | 39 | 43 | 50 | 42 | 39 | 37 | 31 |
pm10 | 55 | 46 | 83 | 99 | 105 | 73 | 54 | 51 | 70 | 74 | 82 | 79 | 111 | 101 | 103 | 87 | 93 | 115 | 125 |
no2 | 4.7 | 6.8 | 19 | 27 | 29 | 21 | 22 | 29 | 34 | 35 | 44 | 34 | 46 | 55 | 26 | 25 | 29 | 35 | 28 |
co | 548 | 517 | 1 | 1 | 1 | 908 | 675 | 1 | 1 | 1 | 1 | 1 | 973 | 940 | 654 | 1 | 833 | 1 | 1 |
o3 | 31 | 34 | 35 | 37 | 30 | 25 | 29 | 27 | 28 | 24 | 36 | 60 | 27 | 46 | 47 | 22 | 15 | 14 | 7.3 |
so2 | 1.4 | 1.4 | 2.6 | 2.7 | 3.1 | 2.3 | 1.7 | 1.6 | 1.6 | 2.8 | 6 | 5.8 | 9.9 | 8.3 | 5 | 13 | 14 | 13 | 8.6 |