Overall Green Flood alert in South Africa from 01 Mar 2014 00:00 UTC to 30 Mar 2014 23:59 UTC

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Overall Green alert Flood

in South Africa

Media coverage of this event

Articles:	4
Articles about casualties:	0 (0%)
Articles in last hour:	0

News articles per day

Social media analysis

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.

[beta] Media disaster_tweets analysis

The information below is extracted by an experimental JRC system to analyze Twitter based on specific events and keywords

All headlines on this Alert

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

Articles after 28 Feb 2014

FACTBOX - Ten ways in which global warming will hit India - UN panel

Tue, 01 Apr 2014 22:19:00 +0200trust (en)

NEW DELHI (Thomson Reuters Foundation) - The latest report from the Intergovernmental Panel on Climate Change (IPCC) says countries like India will have a high degree of vulnerability and exposure to global warming which will likely slow economic growth, impact health and development and erode food security.

SMSs could save lives in flood-prone Africa

Tue, 25 Mar 2014 09:51:00 +0100mg (en)

SMSs may be dying out in many parts of the world, but it may prove to be a life-saver in rural areas prone to floods in Africa .

Text messages aim to save lives in flood-prone Africa

Tue, 25 Mar 2014 09:00:00 +0100thetimes-za (en)

Text messaging may be dying out as a means of communication in many parts of the advanced world, but it may yet prove to be a vital life-saver in flood-prone African villages.

Global warming to hit Asia hardest, warns new report on climate change

Sun, 23 Mar 2014 01:29:00 +0100palestinewater (en)

President Obamas Science and Technology Advisor, Dr. John Holdren, explains the polar vortex in 2 minutes—and why climate change makes extreme weather more likely going forwardPiers Corbyn of most famous for predicting our current weather anomalies by using a Solar Lunar predictive method, explains....

More information

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