Social media posts can help predict floods, hurricanes

Image
IANS London
Last Updated : Mar 12 2017 | 4:07 PM IST

Certain words used on social media platforms like Flickr can warn us about extreme weather events before they happen -- such as hurricanes, storms and floods, suggests new research.

Photographs and key words posted online can signal weather risks developing in specific locations and times -- for example, posts about water levels rising can alert the authorities to a potential flood, said the study published in the journal PLOS One.

"Our analysis demonstrates that metadata in social media image postings enables them to be used as 'social sensors', which can serve as a valuable supplement to instrument-based systems for predicting and monitoring floods, and other kinds of natural hazards," said one of the researchers, Nataliya Tkachenko, from Warwick Institute for the Science of Cities, University of Warwick in Britain.

The researchers found that tracking certain words used in social media posts around the time of an extreme weather event -- such as water and river when there is a flood risk -- allows information to be collated to accurately predict which areas will be affected, and how big the impact will be to the infrastructure and human life.

"The opportunities represented by these new data sources are truly exciting as they can help to protect homes, save lives and design more resilient cities," Tkachenko said.

The researchers tracked photos and videos with tags such as river, water and landscape on the social media platform Flickr between 2004 and 2014.

Whilst these words can be used to generally describe natural scenery, the researchers found that in certain time periods before the peak of extreme weather events -- and in the locations where they occurred -- these words took on a distinct meaning of forecast and warning, showing the weather worsening.

These risk-signalling words can act as 'social sensors', which when used alongside physical meteorological sensors can help to improve the prediction and monitoring of the behaviour and severity of an evolving weather event in multiple areas.

--IANS

gb/sm/vt

Disclaimer: No Business Standard Journalist was involved in creation of this content

*Subscribe to Business Standard digital and get complimentary access to The New York Times

Smart Quarterly

₹900

3 Months

₹300/Month

SAVE 25%

Smart Essential

₹2,700

1 Year

₹225/Month

SAVE 46%
*Complimentary New York Times access for the 2nd year will be given after 12 months

Super Saver

₹3,900

2 Years

₹162/Month

Subscribe

Renews automatically, cancel anytime

Here’s what’s included in our digital subscription plans

Exclusive premium stories online

  • Over 30 premium stories daily, handpicked by our editors

Complimentary Access to The New York Times

  • News, Games, Cooking, Audio, Wirecutter & The Athletic

Business Standard Epaper

  • Digital replica of our daily newspaper — with options to read, save, and share

Curated Newsletters

  • Insights on markets, finance, politics, tech, and more delivered to your inbox

Market Analysis & Investment Insights

  • In-depth market analysis & insights with access to The Smart Investor

Archives

  • Repository of articles and publications dating back to 1997

Ad-free Reading

  • Uninterrupted reading experience with no advertisements

Seamless Access Across All Devices

  • Access Business Standard across devices — mobile, tablet, or PC, via web or app

More From This Section

First Published: Mar 12 2017 | 4:02 PM IST

Next Story