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Google's flood forecasting system will arrive in Angola

Angola is one of the 18 new countries to which Google will bring its flood forecasting system. The tech giant is also developing the Google FloodHub, which concerns a platform with information about floods.

: Ampe Rogério
Ampe Rogério  

According to information released this Wednesday by the company, along with Angola, Brazil is also on the list of countries that are included in this enlargement.

It should be noted that the expansion of this system – which in 2021 sent 115 million flood warnings to residents in risk areas, specifically India and Bangladesh – comes at a time when the company is developing the Google FloodHub, which is a platform that brings together information about floods, writes Dinheiro Vivo.

According to Dinheiro Vivo, the information will be introduced into the search engine and maps in order to "help more people stay safe in flood situations".

Yossi Matias, vice president of Engineering and Research at the technology, quoted by Dinheiro Vivo, says there is "a sense of urgency with climate change".

As explained by Yossi Matias – who was speaking at a meeting, whose Dinheiro Vivo was present – ​​'machine learning' (ML) is used to calculate "the direction of the water". "Our AI team uses machine learning to predict the direction of the water," he said.

He also considered that "with technology" they can "address this problem effectively".

An assessment of the technological, cited by Dinheiro Vivo, points out that early warning mechanisms prevent 43 percent of deaths and between 35 to 50 percent of financial losses related to floods.

He also mentioned that such a system is being used for fires, adding that this was the stimulus for this project. "It was one of the factors that motivated me to look at this," he said, adding that there is "an expectation that the frequency and scale" of fires will increase due to climate change.

In this path, advances Dinheiro Vivo, the technology company has worked to ensure that its 'machine learning' prototypes are able to recognize and monitor fires "in real time", by anticipating their development with a view to supporting people and firefighters, being this mechanism to be used in countries like Canada, United States of America, Mexico and Australia.

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