In its research, Google revealed that its artificial intelligence (AI) technology can accurately predict floods and river overflows up to seven days in advance, depending on the location. This advancement in predictive technology aims to enable the early detection of natural disasters, allowing for timely precautions.
The challenge in predicting floods arises from the fact that the flow rates of many rivers are not regularly measured. To address this, Google employed machine learning models trained with a variety of data, including historical events, topography, and geographical features.
By inputting this data, Google was able to generate localized maps and conducted “hundreds of thousands” of simulations for each targeted area. Through the integration of different techniques, this comprehensive study has paved the way for the prediction of future floods, offering a significant tool for disaster preparedness and response.
On average, it was able to give 5 days’ notice of floods
According to the technology giant, this model has enabled the creation of “high-accuracy models for specific locations.” Google aims to utilize these techniques to facilitate the global detection of natural disasters. It was mentioned that the artificial intelligence is capable of predicting floods up to seven days in advance in certain areas, with an average forecast time of five days ahead for floods. This research has also led to improved weather forecasts in some previously underserved regions of Africa and Asia.
Google has succeeded in forecasting floods in regions inhabited by a total of 460 million people across 80 countries. These forecasts are accessible through Google Searches, Google Maps, and Android notifications.
Additionally, this information is instantly available on Google’s Flood Hub, which was launched in 2022. For instance, the water level in Yanarsu Stream, a river in our country, is anticipated to rise until March 23.
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