You are on to something useful but. Accuracy in your model should be clearly explained. Accuracy should give a range of possible values. Health consequences should be clearly explained. Don't you want to educate your users as much as possible? And for each city explain what data is being used for measurements. Then users will be able to review locally your model and make it better. And allow data from other measuring devices to be imputed manually. I can get pm2 devices for a third of your future plume device in Asia. You must decide if you are attempting to help us all or help yourself by selling your devices.
The data for Noida, where I live, is reported wrong every day! There are two monitoring stations here. I compared the value being reported by each against the value report by this app and realised that the app is merely adding the values being reported by both the stations and hence displaying values for PM2.5 & PM10 which are actually DOUBLE of the real value! Very disappointing!
Wow! This is so useful! I use 4 other apps, which report against specific air quality indexes that the American Environmental Protection Agency thinks are currently dangerous: Particulate Matter (PM) 2.5, PM 10, ozone, Sulpher Dioxide, Nitrogen Dioxide and Carbon Monoxide. And I've checked out other apps, too. But nobody else has a forecast that helps forecast workout times. And while others seem to show Good air, sometimes the air does not smell good and I don't feel good. But Plume gets it right, every time. Keep up the great work! Thanks!
Extremely inaccurate results for the city of Tehran. Shows really high index values; often four to five times higher than any other source. Compared to similar apps such as AirVisual or Air Quality: Real Time; the results are totally useless. The USAQI is shown higher than 600 while the weather is clear and looks absolutely normal.
This app tells you clearly if the air quality is good or not but I wish it had a range so you knew just how bad or good the air was. I wish you knew more what the numbers meant easily from the app. I also don't understand how sometimes the same number will say healthy and moderate pollution.
The app is flawed because the information is based on a very limited number of data points, because there are not enough monitoring stations to give sufficient resolution. Therefore the whole of the city where I live is coloured green all of the time whereas we know that someone living in proximity to a major freeway on the leeward side is exposed to higher pollution than someone living far away from any pollution sources. The forecast is also unable to predict peaks in pollution, the line looks the same everyday. It's a great idea and a nice interface but the app doesn't deliver on its promise.
We've gone global. Plume Labs' air quality forecasting app is now available for every city on Earth.
That's right. In one big push we've jumped from 430 cities covered in the app to hundreds of thousands—even small towns without official monitoring stations.
It's all thanks to 18 months of hard work from our team constructing a world air quality model that more than makes the grade.
If you think these latest updates are as cool as we do, let us know! Please review the latest version.
Air Quality Forecasting System of the Barcelona Supercomputer Center
Air Pollutant Index (API) is the indicator of air quality status in Malaysia