Casualties in Libya floods could have been avoided with warning system: UN agency
- The head of the World Meteorological Organization stated that the casualties from the floods in Libya could have been avoided if the country had a functioning weather service to issue warnings.
- The main challenge in managing the aftermath of the floods in Libya is the divided government, which is not functioning normally. If there was a normally operating meteorological service, warnings could have been issued and evacuation could have taken place to avoid most of the human casualties. The political fractures in the country complicate rescue operations.
- The WMO had been in touch with Libyan authorities to reform the meteorological system, but security threats have hindered their efforts to improve the situation. The security challenges in the country make it difficult to go there and make progress.
38 Articles
38 Articles
Most Libya flood casualties could have been avoided: U.N.
United Nations warns Libya flood deaths could have been avoided with better early warning systems; WMO chief says other conflict-hit countries face similar deficiencies. In Libya, lack of weather forecasting and emergency management led to thousands of deaths.
Most Libya flood casualties could have been avoided: UN
The United Nations said Thursday that most of the thousands of deaths in Libya's flood disaster could have been averted if early warning and emergency management systems had functioned properly. If the system in Libya ad worked properly, "the emergency management forces would have been able to carry out the evacuation of the people, and we could have avoided most of the human casualties," WMO chief Petteri Taalas told reporters in Geneva.
Deadly floods in Libya: Most casualties could have been avoided according to United Nations
The United Nations said Thursday that most of the thousands of deaths in Libya's flood disaster could have been averted if early warning and emergency management systems had functioned properly. FRANCE 24's Catherine Norris-Trent tells us more.
Coverage Details
Bias Distribution
- 48% of the sources lean Right
To view factuality data please Upgrade to Premium
Ownership
To view ownership data please Upgrade to Vantage