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Early Warning Systems

Системы раннего оповещения на базе сообществ: Руководящие принципы

«Системы раннего оповещения на базе сообществ: руководящие принципы» – один и справочников, подготовленных Международной Федерацией обществ Красного Креста и Красного Полумесяца (МФОККиКП) наряду с Руководящими указаниями по оценке уязвимости и потенциала (ОУП), информированию общественности и осуществлению образовательных программ на базе сообществ. Данные руководящие принципы также дополняют Справочное руководство по вопросам чрезвычайного реагирования при бедствиях и […]

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IFRC Community Early Warning Systems (CEWS) Training Toolkit – Field Guide

The Training Toolkit for Community Early Warning Systems is an operational manual that aims to strengthen early warning systems in a developing country context. It accompanies and should put into practice the guiding strategic principles found in the Community Early Warning Systems: Guiding Principles. The Toolkit is developed as a ready-to-go Training of Trainers (ToT)

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Mobile Cell Broadcasting for Commercial Use and Public Warning in the Maldives

The Maldives is prone to a number of hazards including tsunamis, earthquakes, flash floods, tidal waves, thunderstorms, tornadoes and waterspouts, strong winds, and drought. Therefore, early warning is essential in timely notification of alerts so that the general populace may be able to take the necessary precautions. In the case of the Maldives, if an early warning is introduced, it

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Report on Early Warning for Technological Hazards

Technological hazards are an increasing source of risk to people and their environment. This is an effect of the globalization of production, an increase of industrialization and a certain level of risk of accidents connected with production, processes, transportation and waste management. These risks are associated with the release of substances in accident condition or with the production

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Community-Based Landslide Early Warning System

R3ADY Asia-Pacific, in collaboration with University of Gadjah Mada (UGM), Pacific Disaster Center (PDC), and University of Hawai’i’s Social Science Research Institute (SSRI), is working to develop an end-to-end framework that better links community-based and national disaster risk reduction efforts, using UGM’s community-based landslide risk assessment and landslide early warning system as the case study.

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