Location
The International Water Management Institute (IWMI) is a non-profit, scientific research organization focusing on the sustainable use of water and land resources in developing countries. It is headquartered in Colombo, Sri Lanka, with regional offices across Asia and Africa. IWMI works in partnership with governments, civil society and the private sector to develop scalable agricultural water management solutions that have a real impact on poverty reduction, food security and ecosystem health. IWMI is a member of CGIAR, a global research partnership for a food-secure future.
IWMI’s Mission is to provide evidence-based solutions to sustainably manage water and land resources for food security, people’s livelihoods and the environment.
IWMI’s Vision, as reflected in the Strategy 2014-2018, is ‘a water-secure world’. IWMI targets water and land management challenges faced by poor communities in the developing countries, and through this contributes towards the achievement of the United Nations Millennium Development Goals (MDGs) of reducing poverty and hunger, and maintaining a sustainable environment. These are also the goals of CGIAR.
IWMI works through collaborative research with many partners in the North and South, and targets policymakers, development agencies, individual farmers and private sector organizations.
Resources
Displaying 796 - 800 of 959GIS metadata for an irrigation system, volume I: Chishtian Sub-Division
GIS metadata for an irrigation system, volume 2: selected watercourses within Chishtian Sub-Division
Health and irrigation: Proceedings of the Copenhagen Workshop on Health and Irrigation held in Eigtved's Pakhus, Ministry of Foreign Affairs, Asiatisk Plads 2, DK, 1448 Copenhagen, Denmark, 18-20 August 1997
Impact of natural resources management research. A concept note
Impact assessment of rehabilitation intervention in the Gal Oya Left Bank [Sri Lanka].
Assesses the impact of rehabilitation interventions on irrigation system performance using time series analysis. The study demonstrates that with proper impact specification and model identification, the nature and magnitude of the impacts of different interventions can be separated from the effects of simultaneous changes in dominant exogenous factors.