Air Pollution Index data over time?

Hi, I live in Taichung.

I’m trying to find an application / website or database that will allow me to look at air pollution PM 2.5 data over time. For example, I’d like to look at the PM 2.5 index for the city of Taichung for every day in 2016.

Can anyone recommend a way to do this?

None of the smart phone apps that I know of will represent data this way.

Thanks in advance

How about the below?

The site of Environmental Protection Administration, Executive Yuan, R.O.C (Taiwan)
http://taqm.epa.gov.tw

Fine Particulate Matter
http://taqm.epa.gov.tw/pm25/en/

History Data Download
http://taqm.epa.gov.tw/taqm/en/YearlyDataDownload.aspx

Thanks. Downloading the spread sheet data is useful. Although…I seem to be getting some mismatches from this daily data and the third-party apps on my phone.

How big are the mismatches? Their units are the same?

They are measured value. If the two values are obtained from two different measuring devices, or at two different timings or two different locations, they can be different.

The air has been severe the last few days. Nose pain included.

I am SO fucking SICK of the POLLUTION.

I’m SO OUT of HERE. :wall:

I tried going through those… not easy…

Is there any source that just shows like Taipei or Kaohsiung PM2.5 average for the last 12 months?

Which are the best real-time pollution index Apps?
Chinese and/or English Apps are both okay.

thanks

Found a new (to me) site for getting some AQI data. I put it in a table just to see for myself, but thought somebody else might find it useful. Columns are “percentage of days since Jan. 2017 with AQI between X and Y”. The “Overall” column I made up myself so it’s non-scientific but I wanted a “single number” to get a sense of relative overall quality. The formula I used: 0-50 = 4 points, 51-100 = 2 points, 101-150 = 0 points, 150+ = -1 point (and then normalized so that max = 10).

Area Station 0-50 51-100 101-150 150+ Overall
臺東 臺東 91 9 0 0 9.5
花蓮 花蓮 78 21 1 0 8.8
屏東 恆春 78 20 2 0 8.8
宜蘭 冬山 67 32 1 0 8.3
宜蘭 宜蘭 64 33 2 0 8.1
新北 淡水 53 44 3 0 7.5
臺北 士林 49 47 4 1 7.2
基隆 基隆 48 46 5 0 7.1
澎湖 馬公 47 48 5 0 7.1
臺北 萬華 46 50 4 0 7.1
新北 新莊 50 43 6 1 7.1
臺北 中山 44 53 3 0 7.1
新北 菜寮 45 49 5 1 6.9
桃園 平鎮 49 40 10 1 6.9
臺北 松山 43 50 6 1 6.8
新北 板橋 44 47 7 2 6.7
臺北 古亭 44 47 8 2 6.7
新竹 新竹 44 45 10 1 6.7
桃園 桃園 42 49 8 1 6.7
桃園 大園 43 47 9 1 6.6
新北 土城 43 45 10 2 6.5
新北 新店 41 48 9 2 6.4
苗栗 三義 40 49 11 1 6.4
新竹 竹東 35 58 7 0 6.4
新北 汐止 34 57 8 1 6.2
新竹 湖口 37 51 11 1 6.2
桃園 龍潭 37 50 11 2 6.1
新北 林口 35 52 12 0 6.1
臺中 豐原 37 50 11 3 6.1
臺中 沙鹿 40 42 16 2 6.1
新北 萬里 32 56 11 1 6.0
臺中 大里 38 42 17 3 5.8
苗栗 苗栗 29 59 11 1 5.8
臺中 忠明 33 49 17 2 5.6
彰化 二林 30 53 16 1 5.6
臺中 西屯 33 47 17 3 5.6
彰化 彰化 28 51 19 2 5.3
臺南 善化 25 50 22 2 5.0
南投 南投 22 55 20 3 4.9
馬祖 馬祖 22 54 20 4 4.8
嘉義 朴子 25 48 24 3 4.8
臺南 安南 26 43 27 3 4.7
高雄 林園 29 38 25 8 4.6
臺南 新營 23 48 26 3 4.6
高雄 美濃 19 55 24 2 4.6
嘉義 新港 23 47 27 3 4.6
臺南 臺南 25 43 27 4 4.6
高雄 大寮 21 46 31 2 4.4
嘉義 嘉義 22 43 30 5 4.2
金門 金門 18 51 24 7 4.2
高雄 前金 25 36 31 8 4.2
雲林 斗六 20 45 29 6 4.1
雲林 崙背 19 46 30 5 4.1
高雄 小港 23 38 33 7 4.0
高雄 仁武 22 39 33 7 4.0
屏東 屏東 22 39 31 8 4.0
高雄 左營 23 34 34 9 3.8
屏東 潮州 23 33 33 11 3.6
高雄 楠梓 20 35 36 9 3.6
南投 竹山 16 41 35 9 3.4