PM2.5 Interpolation andVisualization based on Wind Fields
ked2016/05/152016/06/13 update
Our system
PM2.5 http://www.cmlab.csie.ntu.edu.tw/~ked/pm25.htm
PM2.5 + radar http://www.cmlab.csie.ntu.edu.tw/~ked/
pm25_4.htm
Why a different PM2.5 vis. system
2016/04/12
The visualization of
PSI result
2016/04/12
The visualization of
2016/04/20
The visualization of
PSI result Averaged index
2016/04/12
The visualization of
PSI result Averaged index Sparse distribution
2016/04/12
Other systems for PM2.5
http://env.g0v.tw/air/
2016/04/15
Other systems for PM2.5
http://env.g0v.tw/air/ http://env.childgrowth.info/air/
2016/04/15
Other systems for PM2.5
http://env.childgrowth.info/air/
天下雜誌 2015.03.17
How to interpolate the sparse data
Wind & PM2.5
天下雜誌 2015.03.17
Wind & PM2.5
東森新聞 2016.01.01
Our system
2016/04/15
Our system
2016/04/22
Outline
System description Data capture Interpolation Rendering Conclusions
Outline
System description Data capture Interpolation Rendering Conclusions
Features
Interpolation based on winds x 3D interaction
x Auto-renewal
Architecture
Our server
環保署
NCEP
Capture PM 2.5
Interpolate
Capture wind field & height field
Architecture
Web browserOur server
環保署
NCEP
Capture PM 2.5
Interpolate
Get data
Visualize &update
Capture wind field & height field
Outline
System description Data capture Interpolation Rendering Conclusions
PM2.5 data
Location ?
PM2.5 data + coordinate
.grib2 format – records
How to read .grib2 file
Refer to https://www.google.com.tw/url?
sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0ahUKEwjCvc7I2Y3MAhVKGJQKHVC4AxgQFgglMAA&url=http%3A%2F%2Fjou-p3.as.ntu.edu.tw%2FP3%2Ffile%2Fteaching%2Ff1386923093.pdf&usg=AFQjCNF0Z5dLY08WxC5pl_0BUxfTvxUvuQ&sig2=eLDe7X0wv0Ol1KG_Dnr9YQ
.grib2 format – regular data
https://www.google.com.tw/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0ahUKEwjCvc7I2Y3MAhVKGJQKHVC4AxgQFgglMAA&url=http%3A%2F%2Fjou-p3.as.ntu.edu.tw%2FP3%2Ffile%2Fteaching%2Ff1386923093.pdf&usg=AFQjCNF0Z5dLY08WxC5pl_0BUxfTvxUvuQ&sig2=eLDe7X0wv0Ol1KG_Dnr9YQ
Outline
System description Data capture Interpolation Rendering Conclusions
Flow in the field
Flow in the field
Transition
1/3
5/9
1/9
Transition – intensity decay
1/3 x 1/2
5/9 x 1/2
1/9 x 1/2
1/2
Transition matrix
Refers to the stochastic process in which the transition probabilities depend only on the current state
1/3 x 1/2
5/9 x 1/2
1/9 x 1/2
1/2
Irreducible, aperiodic, recurrent
Stationary Markov chain
Stationary Markov chain
Outline
System description Data capture Interpolation Rendering Conclusions
Implementation
Javascript + webgl
Rendering
Taiwan
PM2.5
Wind vector
Scientific visualization
"it’s infovis when the spatial representation is chosen, and it’s scivis when the spatial representation is given“
-- wikipedia
Billboard
http://www.markmark.net/clouds/
Outline
System description Data capture Interpolation Rendering Conclusions
Case – 2016.03.14 " 在臺灣西南側一條繩索狀的白雲,那是南海吹過來微弱西南風和東側高壓迴流的交界面,因為大氣穩定,所以只在海面上形成一長條的索狀雲。 "
Case – 2016.04.08
Thx.
站在推廣環保和教育的立場,我從電腦圖學的角度出發,做了一個互動系統,希望民眾可以重視 PM2.5 的問題,更希望的是,我們的下一代,可以因為我們的覺醒,而呼吸到更好的空氣。
Update Streamlines for wind field Weather radar for rainfall
Anaglyph 3D
Streamline placement
Refer to
Weather radar data
Download from