GDACS is a cooperation framework between the United Nations, the European Commission and disaster managers worldwide to improve alerts, information exchange and coordination in the first phase after major sudden-onset disasters.

M 6.2 in Russian Federation on 17 Jul 2017 11:05 UTC
GDACS Event Report - Media reports

Media coverage of this event

Media analysis

News articles per day
16/07 21/07
61
579
134
145
880
  • Articles: 1799
  • Articles about casualties: 124 (6.9%)
  • Articles in last hour: 0

Latest headlines

rss

The headlines below have been automatically extracted by the Europe Media Monitor.

Mentioning 'Russian'

Tsunami threat passes after 7.8 Russian quake
Tue, 18 Jul 2017 09:47:00 +0200   MaltaToday (en)

A powerful earthquake of magnitude 7.8 off Russia's Kamchatka Peninsula triggered a tsunami warning but the threat has now passed, the US Geological Survey and US Pacific Tsunami Centre said. "Based on preliminary earthquake parameters...hazardous tsunami waves are possible for coasts located within....

People and organisations:

Tsunami advisories issued for Russian Bering Island, no threat for local population
Tue, 18 Jul 2017 03:26:00 +0200   itartass_en (en)

PETROPAVLOVSK-KAMCHATSKY, July 18. /TASS/. Tsunami advisories have been issued for the township of Nikolskoye on Russia’s Bering Island off the Kamchatka peninsula after a quake, but the height of the tsunami wave will not exceed half-a-meter, a source from the Kamchatka branch of the Russian ....

People and organisations:

Other news (show)

Social media analysis

Experimental feature

The information below is extracted by an experimental JRC system to analyze Twitter messages for the occurance of secondary effects for earthquakes and tsunamis. This feature is currently not available for other disaser types.

Twitter reaction

The graph above shows the number of tweets per minute just before and just after the earthquake. The higher the values and the larger the difference between before and after, the more the earthquake was felt by the local population. Note that after 20 to 30 minutes, many tweets will come from areas not near the earthquake. These indicate general interest in this event rather than local impact.

Tweets mentioning secondary effects

The graph above shows tweets for keywords related to common secondary effects. A large difference between tweets counts before and after the event for any of these keywords is a good indication that the secondary effect occurred.