November 04, 2019
If you can predict the weather
With the machine-based learning we can do it very quickly.Official interest has
also been boosted by China’s preparations to host the Winter Olympics —
Beijing’s instant heating water faucet
Manufacturers smog is worse in the colder months — in 2022. "More and more
people care about this information technology."There is increasing attention to
the air quality forecast service,†said Yu Zheng, a researcher at
Microsoft.
Bouts of acrid smog enveloping Beijing prompted authorities in the
Chinese capital to declare two unprecedented "red alerts†this month - a warning
to the city’s 22 million inhabitants that heavy pollution is expected for more
than three days.Both Microsoft and IBM secured their first government clients
last year after developing their respective pollution forecasting technologies
at their China-based research labs. For its part, Microsoft has signed up
China’s environment ministry, and the environmental protection bureaus in Fujian
province and Chengdu, the capital of the southwestern province of Sichuan..
"Most of the time pollutant emissions don’t vary very rapidly. Already more than
30 solar farms in China are using IBM’s forecasting technology, which can also
help predict the availability of sunlight.com, a free website and smartphone
app, in 2013 to predict clean air days using publicly available weather data on
wind patterns.
Two of the world’s largest technology firms, IBM and Microsoft,
are vying to tap the nascent, fast-growing market for forecasting air quality in
the world’s top carbon emitters.But there are still kinks to work out. The
latest version of Microsoft’s iPhone app lacked the forecasting function
advertised, which the company blamed on a soon-to-be-fixed bug, while during a
recent "red alert,†when the air was considered hazardous and schools were shut,
the China Open IBM-based forecast recommended "light exerciseâ€.Microsoft has
created a website called Urban Air and a smartphone app with a 48-hour forecast
for cities across China, while the China Open tennis tournament put two-day IBM
pollution forecasts for parks across Beijing on its public WeChat social
messaging account.5 — airborne particulate matter under 2.
Women wear face masks
on a heavily polluted day in Beijing.Outside China, IBM has also signed deals
for air quality modelling with Delhi, one of the world’s most polluted cities,
and Johannesburg.5 microns in diameter that can penetrate deep into the lungs —
in 2012, after denouncing the US embassy for publishing its own real-time
monitoring data on Twitter.The company launched a "Joint Environmental
Innovation Centre†— staffed by government and IBM scientists — with the bureau
earlier in December, allowing officials to better model pollution reduction
scenarios during the worst episodes.IBM’s first client was the city of Beijing’s
environmental protection bureau, which bases its colour-coded pollution alerts
on the technology.Still the municipal government only makes public a 24-hour
forecast on its website, meaning residents aren’t able to see for themselves
when a "red alert†may be due. — AFP Two of the world’s largest technology
firms, IBM and Microsoft, are vying to tap the nascent, fast-growing market for
forecasting air quality in the world’s top carbon emitters.â€A rudimentary
forecast was pioneered by Dustin Grzesik, a US geochemist and former Beijing
resident who created Banshirne.
If you can predict the weather, it only takes a
few more variables to predict air quality,†said Robert Rohde of Berkeley Earth,
a US-based non-profit that maps China’s real-time air pollution.â€The two tech
rivals aren’t just competing over government clients. Chinese authorities only
began releasing real-time levels of PM2.â€Now, advances in "cognitive computingâ€
— machines programmed to improve modeling on their own — allow more
sophisticated forecasting software to provide predictions for the air quality
index up to 10 days in advance using data on weather, traffic and land use, as
well as real-time pollution levels from government monitoring stations and even
social media posts."We should be able to use the same base system and do air
quality forecasting in different parts of the world,†said Brad Gammons, the
business leader behind the IBM initiative, which the company calls ‘Green
Horizons’.
And while other tech giants, such as China’s Alibaba, currently remain
on the sidelines, Air Visual, a crowd-sourced start-up pollution monitoring
platform based in Beijing, is already giving IBM and Microsoft a run for their
money, using "deep machine learning†to provide its own free three-day forecasts
for cities across the globe through its website and smartphone app.IBM has also
signed a deal with Zhangjiakou, which will jointly host the 2022 Winter Olympics
alongside Beijing, to do forward planning and scenario modeling ahead of the
games. Business clients - in particular renewable power generation companies —
are another target, along with consumers.Forecasts can help governments plan
when to close schools and airports, restrict vehicles or postpone sporting
events, and also decide which polluting factories to shut down temporarily.Such
alerts rely on advances in pollution forecasting, increasingly important for
Communist Party leaders as they seek improvements in monitoring and managing the
country’s notorious smog in response to growing public awareness. The
environmental bureau’s monitoring center did not respond to a request for
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