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This monthly newsletter highlights UNISDR activities around the world. This issue reports on: (i) the progresses on the "Making Cities Resilient" Campaign and the release of the Handbook for local government leaders: how to make cities more resilient; (ii) using GIS for disaster risk reduction (DRR); (iii) a new Massachusetts Institute of Technology and…
This document addresses the issues of disaster risk reduction (DRR) in the area of education in the form of a compendium of various educational activities and initiatives, both in the formal and informal spheres of education, being implemented at regional level in the Central Asian countries. The compendium gathers materials on good practices, methodolo…
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This document provides a framework of guiding principles and general steps addressing the construction of safer and more disaster resilient education facilities. It is aimed to be adapted to the local context and used to develop a context-specific plan to address a critical gap to reaching the Education for All (EFA) and Millennium Development Goals (MD…
Risk and poverty in a changing climate: This summary presents the key findings and recommendations of the Report, which identifies disaster risk, analyses its causes, shows that these causes can be addressed and recommends the means to do so. The over-riding message of the Report is that reducing disaster risk can also help in reducing poverty, safegua…
This publication seeks to highlight initiatives that have successfully linked poverty reduction and disaster risk reduction in various parts of the world. It features several projects and initiatives that show how DRR can be integrated into poverty reduction (or vice-versa) to help reduce the vulnerability of the poor and protect their livelihoods and d…
Publication
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This paper presents a methodology for deriving hazard maps on the global level, which puts emphasis on the use of stream flow data directly and gives credible results in terms of hazard and risk computation. The issue this methodology attempts to resolve is the poor temporal resolution - data is in fact collected monthly and not daily instead. Thi…

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