Gaisa piesārņojums Ban Bang Boet Lang: Reālā laika gaisa kvalitātes indekss un smogs brīdinājumu.

Atrašanās Vietas: « Surata Thani Ban Bang Boet Lang

Gaisa piesārņojums Ban Bang Boet Lang 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 2019-05 2019-04 2019-03 2019-02 2019-01 2018-12 2018-11 2018-10 2018-09 2018-08 2018-07 2018-06 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 2017-02 2017-01 2016-12 2016-11 2016-10 2016-09 2016-08 2016-07 2016-06 2016-05 2016-04 2016-03 2016-02 2016-01 2015-12 2015-10
co:ppm 0.39 (Good) 0.36 (Good) 0.38 (Good) 0.55 (Good) 0.49 (Good) 0.64 (Good) 0.49 (Good) 0.41 (Good) 0.4 (Good) 0.47 (Good) 0.41 (Good) 0.36 (Good) 0.36 (Good) 0.34 (Good) 0.4 (Good) 0.36 (Good) 0.49 (Good) 0.39 (Good) 0.5 (Good) 0.51 (Good) 0.41 (Good) 0.32 (Good) 0.21 (Good) 0.25 (Good) 0.33 (Good) 0.29 (Good) 0.4 (Good) 0.58 (Good) 0.54 (Good) 0.49 (Good) 0.37 (Good) 0.36 (Good) 0.24 (Good) 0.29 (Good) 0.35 (Good) 0.38 (Good) 0.41 (Good) 0.35 (Good) 0.41 (Good) 0.55 (Good) 0.43 (Good) 0.46 (Good) 0.34 (Good) 0.25 (Good) 0.21 (Good) 0.22 (Good) 0.38 (Good) 0.25 (Good) 0.28 (Good) 0.35 (Good) 0.37 (Good) 0.37 (Good) 0.21 (Good) 0.23 (Good) - (Good)
no2:ppm 0.01 (Good) 0 (Good) 0.01 (Good) 0.01 (Good) 0.01 (Good) 0.01 (Good) 0.01 (Good) 0.01 (Good) 0.01 (Good) 0.01 (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) 0 (Good) 0 (Good) 0 (Good) 0 (Good) - (Good) - (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) 0 (Good) 0 (Good) 0 (Good) 0 (Good) 0 (Good) 0 (Good) 0 (Good) 0 (Good) 0 (Good) - (Good)
o3:ppm 0.02 (Good) 0.02 (Good) 0.02 (Good) 0.02 (Good) 0.02 (Good) 0.03 (Good) 0.02 (Good) 0.01 (Good) 0.01 (Good) 0.01 (Good) 0.01 (Good) 0.01 (Good) 0.02 (Good) 0.02 (Good) 0.03 (Good) 0.02 (Good) 0.03 (Good) 0.02 (Good) 0.02 (Good) 0.02 (Good) 0.01 (Good) 0.01 (Good) 0.01 (Good) 0.01 (Good) 0.01 (Good) 0.02 (Good) 0.02 (Good) 0.03 (Good) 0.01 (Good) 0.01 (Good) 0.01 (Good) 0.01 (Good) 0.01 (Good) 0 (Good) 0.01 (Good) 0.01 (Good) 0.01 (Good) 0.01 (Good) 0.02 (Good) 0.02 (Good) 0.03 (Good) 0.03 (Good) 0.02 (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) 0.03 (Good) 0.02 (Good) 0.03 (Good) - (Good)
so2:ppm 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) 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) - (Good) 0.06 (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) 0 (Good) 0 (Good) 0 (Good) - (Good) 0 (Good) - (Good) 0 (Good) 0 (Good) - (Good)
pm10 27 (Moderate) 28 (Moderate) 34 (Moderate) 38 (Moderate) 38 (Moderate) 35 (Moderate) 31 (Moderate) 25 (Moderate) 26 (Moderate) 23 (Moderate) 31 (Moderate) 27 (Moderate) 33 (Moderate) 34 (Moderate) 44 (Moderate) 37 (Moderate) 40 (Moderate) 28 (Moderate) 28 (Moderate) 21 (Moderate) 22 (Moderate) 27 (Moderate) 27 (Moderate) 28 (Moderate) 26 (Moderate) 32 (Moderate) 37 (Moderate) 46 (Moderate) 36 (Moderate) 41 (Moderate) 32 (Moderate) 31 (Moderate) 42 (Moderate) 27 (Moderate) 35 (Moderate) 27 (Moderate) 26 (Moderate) 28 (Moderate) 39 (Moderate) 42 (Moderate) 27 (Moderate) 32 (Moderate) 33 (Moderate) 26 (Moderate) 24 (Moderate) 25 (Moderate) 38 (Moderate) 27 (Moderate) 25 (Moderate) 43 (Moderate) 49 (Moderate) 52 (Unhealthy for Sensitive Groups) 53 (Unhealthy for Sensitive Groups) 85 (Unhealthy) 57 (Unhealthy for Sensitive Groups)
data source »

Makham Tia, Mueang

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 2018-09 2018-08 2018-07 2018-06 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 2017-02 2017-01 2016-12 2016-11 2016-10 2016-09 2016-08 2016-07 2016-06 2016-05 2016-04 2016-03 2016-02 2016-01 2015-12 2015-10
pm10 27 28 34 38 38 35 31 25 26 23 31 27 33 34 44 37 40 28 28 21 22 27 27 28 26 32 37 46 36 41 32 31 42 27 35 27 26 28 39 42 27 32 33 26 24 25 38 27 25 43 49 52 53 85 57
co:ppm 0.39 0.36 0.38 0.55 0.49 0.64 0.49 0.41 0.4 0.47 0.41 0.36 0.36 0.34 0.4 0.36 0.49 0.39 0.5 0.51 0.41 0.32 0.21 0.25 0.33 0.29 0.4 0.58 0.54 0.49 0.37 0.36 0.24 0.29 0.35 0.38 0.41 0.35 0.41 0.55 0.43 0.46 0.34 0.25 0.21 0.22 0.38 0.25 0.28 0.35 0.37 0.37 0.21 0.23 -
no2:ppm 0.01 0 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 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 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -
so2:ppm 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.01 0 0 0 0 0 0 0 0 0 0 0 0 - 0.06 0 0 0 0 0 0 0 0 0 0 0 0 0 - 0 0 0 - 0 - 0 0 -
o3:ppm 0.02 0.02 0.02 0.02 0.02 0.03 0.02 0.01 0.01 0.01 0.01 0.01 0.02 0.02 0.03 0.02 0.03 0.02 0.02 0.02 0.01 0.01 0.01 0.01 0.01 0.02 0.02 0.03 0.01 0.01 0.01 0.01 0.01 0 0.01 0.01 0.01 0.01 0.02 0.02 0.03 0.03 0.02 0.01 0.01 0.01 0.01 0.01 0.02 0.02 0.02 0.03 0.02 0.03 -

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