Gaisa piesārņojums Yan Nawa: Reālā laika gaisa kvalitātes indekss un smogs brīdinājumu.

Atrašanās Vietas: « Bangkoka Yan Nawa Thung Maha Mek »

Gaisa piesārņojums Yan Nawa no 2015. g. oktobris to 2020. g. maijs

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 2018-01 2017-12 2017-11 2017-10 2017-07 2017-06 2017-05 2017-04 2017-03 2017-02 2017-01 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
no2:ppm 0.01 (Good) 0.01 (Good) 0.02 (Good) 0.03 (Good) 0.03 (Good) 0.04 (Good) 0.04 (Good) 0.03 (Good) 0.02 (Good) 0.01 (Good) 0.02 (Good) 0.01 (Good) 0.03 (Good) 0.04 (Good) 0.03 (Good) 0.03 (Good) - (Good) 0.02 (Good) 0.03 (Good) 0.02 (Good) 0.03 (Good) 0.04 (Good) 0.04 (Good) 0.03 (Good) - (Good) - (Good) 0.02 (Good) 0.02 (Good) 0.02 (Good) 0.02 (Good) 0.02 (Good) 0.03 (Good) 0.04 (Good) 0.03 (Good) 0.04 (Good) 0.04 (Good) 0.04 (Good)
pm10 31 (Moderate) 38 (Moderate) 50 (Moderate) 76 (Unhealthy for Sensitive Groups) 71 (Unhealthy for Sensitive Groups) 62 (Unhealthy for Sensitive Groups) 58 (Unhealthy for Sensitive Groups) 52 (Unhealthy for Sensitive Groups) 56 (Unhealthy for Sensitive Groups) 42 (Moderate) 55 (Unhealthy for Sensitive Groups) 60 (Unhealthy for Sensitive Groups) 53 (Unhealthy for Sensitive Groups) 35 (Moderate) 38 (Moderate) 52 (Unhealthy for Sensitive Groups) 26 (Moderate) 32 (Moderate) 38 (Moderate) 43 (Moderate) 52 (Unhealthy for Sensitive Groups) 64 (Unhealthy for Sensitive Groups) 61 (Unhealthy for Sensitive Groups) 56 (Unhealthy for Sensitive Groups) 29 (Moderate) 26 (Moderate) 32 (Moderate) 28 (Moderate) 25 (Moderate) 28 (Moderate) 44 (Moderate) 58 (Unhealthy for Sensitive Groups) 69 (Unhealthy for Sensitive Groups) 50 (Moderate) 64 (Unhealthy for Sensitive Groups) 46 (Moderate) 53 (Unhealthy for Sensitive Groups)
co:ppm - (Good) 0.45 (Good) 0.34 (Good) 0.52 (Good) 0.59 (Good) 0.52 (Good) 0.54 (Good) 0.49 (Good) 0.48 (Good) 0.29 (Good) 0.3 (Good) - (Good) 1.8 (Good) - (Good) 1.6 (Good) 1.8 (Good) 1.5 (Good) 1.3 (Good) 0.86 (Good) 0.6 (Good) 1.3 (Good) 1.1 (Good) 1 (Good) 1.1 (Good) 0.44 (Good) 0.54 (Good) 0.42 (Good) 0.44 (Good) 0.63 (Good) 0.7 (Good) 0.86 (Good) 0.73 (Good) 1 (Good) 0.81 (Good) 1 (Good) 1.2 (Good) 1.3 (Good)
o3:ppm - (Good) 0.01 (Good) 0.01 (Good) 0.02 (Good) 0.02 (Good) 0.02 (Good) 0.02 (Good) 0.02 (Good) 0.01 (Good) 0.01 (Good) 0.01 (Good) 0.01 (Good) - (Good) - (Good) - (Good) - (Good) 0.01 (Good) 0.01 (Good) 0.01 (Good) 0.01 (Good) 0.01 (Good) 0.02 (Good) 0.02 (Good) 0.02 (Good) - (Good) - (Good) 0.01 (Good) 0.01 (Good) 0.01 (Good) 0.02 (Good) 0.01 (Good) 0.01 (Good) 0.02 (Good) 0.02 (Good) 0.02 (Good) 0.01 (Good) 0.01 (Good)
so2:ppm - (Good) - (Good) - (Good) - (Good) - (Good) - (Good) 0 (Good) 0 (Good) 0 (Good) 0.01 (Good) 0 (Good) 0 (Good) 0 (Good) 0 (Good) 0 (Good) 0 (Good) 0 (Good) 0 (Good) 0 (Good) 0 (Good) 0 (Good) 0 (Good) 0 (Good) 0 (Good) - (Good) - (Good) - (Good) 0 (Good) 0 (Good) 0 (Good) 0 (Good) 0 (Good) 0 (Good) 0 (Good) 0 (Good) 0 (Good) 0 (Good)
data source »

Chong Nonsi, Yannawa

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 2018-01 2017-12 2017-11 2017-10 2017-07 2017-06 2017-05 2017-04 2017-03 2017-02 2017-01 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
no2:ppm 0.01 0.01 0.02 0.03 0.03 0.04 0.04 0.03 0.02 0.01 0.02 0.01 0.03 0.04 0.03 0.03 - 0.02 0.03 0.02 0.03 0.04 0.04 0.03 - - 0.02 0.02 0.02 0.02 0.02 0.03 0.04 0.03 0.04 0.04 0.04
o3:ppm - 0.01 0.01 0.02 0.02 0.02 0.02 0.02 0.01 0.01 0.01 0.01 - - - - 0.01 0.01 0.01 0.01 0.01 0.02 0.02 0.02 - - 0.01 0.01 0.01 0.02 0.01 0.01 0.02 0.02 0.02 0.01 0.01
co:ppm - 0.45 0.34 0.52 0.59 0.52 0.54 0.49 0.48 0.29 0.3 - 1.8 - 1.6 1.8 1.5 1.3 0.86 0.6 1.3 1.1 1 1.1 0.44 0.54 0.42 0.44 0.63 0.7 0.86 0.73 1 0.81 1 1.2 1.3
so2:ppm - - - - - - 0 0 0 0.01 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - - - 0 0 0 0 0 0 0 0 0 0
pm10 31 38 50 76 71 62 58 52 56 42 55 60 53 35 38 52 26 32 38 43 52 64 61 56 29 26 32 28 25 28 44 58 69 50 64 46 53

* Pollution data source: https://openaq.org (Thailand) The data is licensed under CC-By 4.0