As Climate Changes becomes more difficult to deny with each passing day — 95+ percent of scientists are already convinced — severe weather is becoming commonplace. Even in areas where it is common, it’s becoming more extreme and costly, both in terms of lives lost as well as the negative impact on the economy. In response to the growing urgency of the problem, Google Tel Avis has just rolled out an artificial intelligence (AI)-powered flood forecasting for flood stricken areas of India.
The remainder of this text was originally published by NoCamels.com
Google is harnessing artificial intelligence tech to create forecasting models that can better predict when and where floods will occur, and it has partnered with India’s Central Water Commission (CWC) to roll out early warnings in Google Search in the subcontinent, Google VP of engineering and the managing director of Google’s R&D Center in Tel Aviv, Yossi Matias, announced this week.
Deadly floods are common in some parts of India, especially during monsoon season, which runs from July to September every year. In August, India’s southern state of Kerala experienced the worst flood in the region in nearly 100 years, with over 400 killed and more than a million people displaced. A number of other areas in India have seen more devastating floods over the past decade, with death tolls running into the thousands. The 2004 tsunami is still the worst water-related natural disaster to have occurred in the country, with over 10,000 lives claimed in India alone.
“Floods are devastating natural disasters worldwide — it’s estimated that every year, 250 million people around the world are affected by floods, also costing billions of dollars in damages,” Matias wrote in a blog post. Existing warning systems can be inaccurate and uninformative while being wholly unavailable in some areas, “resulting in far too many people being underprepared and unaware before a flood happens,” he added
Google is now “using AI and significant computational power to create better forecasting models that predict when and where floods will occur, and incorporating that information into Google Public Alerts,” to help improve preparedness for impending floods, he wrote.
The tech giant feeds a number of elements – past events, river readings, elevation calculations – into its models to generate maps and “run up to hundreds of thousands of simulations in each location,” Matias explained.
“With this information, we’ve created river flood forecasting models that can more accurately predict not only when and where a flood might occur, but the severity of the event as well,” he said.
The partnership with India’s CWC was first announced in June by the agency. Under the terms of the agreement, the CWC would use “state-of-the-art advances made by Google in the field of Artificial Intelligence, Machine Learning and geospatial mapping for effective management of water resources particularly in the field of flood forecasting and dissemination of flood-related information to the masses widely using the dissemination platforms developed by Google.”
The CWC said in a statement that until recently, it was disseminating flood levels with maximum lead time of one day, but the cooperation with Google would allow for a lead time of up to three days.
The collaborative arrangement, the CWC said, is likely to save millions of rupees “which otherwise would have to be spent by the government on acquiring high-resolution DEM [digital elevation models], high-end computational resources and developing dissemination platforms widely used by the masses.”