Regent - Francis Kanu's face darkens as he remembers the day of Sierra Leone's deadly mudslide last August, and the months that followed waiting for government assistance that never came.

This report examines the institutional, legal and regulatory environment, climate change adaptation and urban management capacity, and financial resources and mechanisms available to address adaptation and disaster risk reduction priorities in Madagascar’s growing cities.

This report examines the institutional, legal and regulatory environment, climate change adaptation and urban management capacity, and financial resources and mechanisms available to address adaptation and disaster risk reduction priorities in Madagascar’s growing cities.

The UN Office for Disaster Risk Reduction (UNISDR) announced the beginning of an historic effort to collect comprehensive data on disaster losses as UN Member States implement the global plan for reducing such losses, the Sendai Framework for Disaster Risk Reduction.

The government, in conjunction with World Bank, will pay 9,700 pastoralists affected by drought during the short rains season to help mitigate the effects.

Japan has given a grant of US$800 000 (approximately N$9.5 million) to the government of Namibia to help address the health needs of the most vulnerable citizens in the seven northern regions affec

INDORE: A customs and central excise department assistant commissioner from Indore will be battling sub-zero temperature in the coming days to learn leadership skills on spreading awareness about c

Harare — The United Kingdom (UK) has granted Zimbabwe £21,5 million (R453.6 million) to increase capacities of vulnerable rural communities in the drought-prone Southern African country.

This report presents the findings of the impact evaluation of the project 'African Climate Change and Resilience Alliance (ACCRA) in Ethiopia (phase 2)', which ran from 1 November 2011 to 31 December 2016 as part of the Oxfam GB's global CHASE Programme Partnership Arrangement (PPA4) portfolio.

The study of frequency analysis is important to find the most suitable model that could anticipate extreme events of certain natural phenomena e.g., rainfall, floods, etc. The goal of this study is to determine the best-fit probability distributions in the case of maximum monthly rainfall using 30 years of data (1984–2013) from 35 locations in Bangladesh by using different statistical analysis and distribution types.

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