Ilmansaasteet Yan Nawa: Reaaliaikainen ilmanlaatuindeksi ja savusumuhälytys.

Sijainnit: « Bangkok Yan Nawa Thung Maha Mek »

ilmansaasteet Yan Nawa lokakuu 2015 – toukokuu 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 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