Légszennyezettség Kína: valós idejű levegőminőségi mutató és szmogriadó.

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Aktuális adatok 2022. május 27., péntek 12:00

PM2,5 25 (Moderate)

CO 139 (Good)

O3 2 (Good)

NO2 7 (Good)

PM10 80 (Unhealthy)

SO2 6 (Good)

index	2022-05-27
PM2,5	35 Unhealthy for Sensitive Groups
CO	457 Good
O3	18 Good
NO2	13 Good
PM10	41 Moderate
SO2	3 Good

data source »

pollution pm25 hikersbay.com — Légszennyezés Kína -től 2015. június 2020. május

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	2015-11	2015-10	2015-09	2015-08	2015-07	2015-06
	23 Moderate	31 Moderate	30 Moderate	37 Unhealthy for Sensitive Groups	50 Unhealthy for Sensitive Groups	47 Unhealthy for Sensitive Groups	38 Unhealthy for Sensitive Groups	29 Moderate	21 Moderate	19 Moderate	18 Moderate	20 Moderate	27 Moderate	30 Moderate	37 Unhealthy for Sensitive Groups	46 Unhealthy for Sensitive Groups	55 Unhealthy	41 Unhealthy for Sensitive Groups	38 Unhealthy for Sensitive Groups	33 Moderate	27 Moderate	25 Moderate	24 Moderate	33 Moderate	38 Unhealthy for Sensitive Groups	49 Unhealthy for Sensitive Groups	53 Unhealthy for Sensitive Groups	63 Unhealthy	90 Very Unhealthy	53 Unhealthy for Sensitive Groups	36 Unhealthy for Sensitive Groups	31 Moderate	27 Moderate	21 Moderate	24 Moderate	24 Moderate	37 Unhealthy for Sensitive Groups	44 Unhealthy for Sensitive Groups	43 Unhealthy for Sensitive Groups	51 Unhealthy for Sensitive Groups	61 Unhealthy	64 Unhealthy	60 Unhealthy	34 Moderate	40 Unhealthy for Sensitive Groups	32 Moderate	37 Unhealthy for Sensitive Groups	37 Unhealthy for Sensitive Groups	40 Unhealthy for Sensitive Groups	45 Unhealthy for Sensitive Groups	72 Unhealthy	51 Unhealthy for Sensitive Groups	49 Unhealthy for Sensitive Groups	78 Very Unhealthy	63 Unhealthy	41 Unhealthy for Sensitive Groups	37 Unhealthy for Sensitive Groups	42 Unhealthy for Sensitive Groups	46 Unhealthy for Sensitive Groups	59 Unhealthy
PM10	52 Unhealthy for Sensitive Groups	61 Unhealthy for Sensitive Groups	53 Unhealthy for Sensitive Groups	48 Moderate	64 Unhealthy for Sensitive Groups	69 Unhealthy for Sensitive Groups	73 Unhealthy for Sensitive Groups	54 Unhealthy for Sensitive Groups	43 Moderate	37 Moderate	36 Moderate	37 Moderate	57 Unhealthy for Sensitive Groups	59 Unhealthy for Sensitive Groups	69 Unhealthy for Sensitive Groups	70 Unhealthy for Sensitive Groups	86 Unhealthy	68 Unhealthy for Sensitive Groups	62 Unhealthy for Sensitive Groups	65 Unhealthy for Sensitive Groups	54 Unhealthy for Sensitive Groups	48 Moderate	45 Moderate	63 Unhealthy for Sensitive Groups	67 Unhealthy for Sensitive Groups	97 Unhealthy	79 Unhealthy for Sensitive Groups	87 Unhealthy	117 Very Unhealthy	145 Very Unhealthy	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good
NO2	18 Good	25 Good	22 Good	16 Good	31 Good	38 Good	33 Good	27 Good	20 Good	17 Good	16 Good	17 Good	20 Good	24 Good	30 Good	21 Good	38 Good	31 Good	32 Good	31 Good	24 Good	19 Good	19 Good	21 Good	26 Good	32 Good	34 Good	31 Good	46 Moderate	64 Moderate	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good
O3	125 Unhealthy for Sensitive Groups	124 Unhealthy for Sensitive Groups	101 Moderate	91 Moderate	70 Good	69 Good	84 Moderate	98 Moderate	124 Unhealthy for Sensitive Groups	129 Unhealthy for Sensitive Groups	128 Unhealthy for Sensitive Groups	132 Unhealthy for Sensitive Groups	130 Unhealthy for Sensitive Groups	115 Moderate	105 Moderate	78 Moderate	66 Good	57 Good	77 Moderate	95 Moderate	72 Moderate	81 Moderate	77 Moderate	116 Moderate	91 Moderate	91 Moderate	71 Moderate	56 Good	43 Good	22 Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good	- Good

data source »

Életminőség Kína

Zöld és parkok a városban

Kína 60%

Mongólia: 27% Bhután: 82% Hongkong: 52% Mianmar: 33%

Öröm a városi idő töltésének örömére

Kína 30%

Mongólia: 22% Bhután: 61% Hongkong: 43% Mianmar: 24%

Légszennyezés

Kína 80%

Mongólia: 87% Bhután: 45% Hongkong: 67% Mianmar: 83%

Szemételvezetés

Kína 51%

Mongólia: 27% Bhután: 47% Hongkong: 52% Mianmar: 12%

Az ivóvíz rendelkezésre állása és minősége

Kína 45%

Mongólia: 46% Bhután: 64% Hongkong: 66% Mianmar: 34%

Tisztaság és tisztaság

Kína 52%

Mongólia: 29% Bhután: 57% Hongkong: 54% Mianmar: 18%

Zaj- és fényszennyezés

Kína 56%

Mongólia: 48% Bhután: 55% Hongkong: 66% Mianmar: 52%

Vízszennyezés

Kína 64%

Mongólia: 68% Bhután: 56% Hongkong: 53% Mianmar: 74%

Source: Numbeo

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