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Irrigation management transfer (IMT) means the relocation of responsibility and authority for irrigation management from government agencies to non-governmental organizations, such as water user's associations. It is a widespread process that is taking place in more than 40 countries. These guidelines have been written to assist policy-makers, planners, technical experts, farmers' representatives and others involved in IMT programmes to design and implement an effective comprehensive and sustainable reform.
Globalization of irrigation management transfer: a summary of ideas and experiences fron the Whuhan conference; Irrigation management transfer: towards an integrated management revolution; Considerations in the transfer of responsibilities for services in the water resources sector; Lessons learned from irrigation management transfer programmes; Irrigation management transfer: problems in implementation; Institutuional context of irrigation management transfer; Gender aspects of irrigation management transfer: rethinking efficiency and equity: Overview of irrigation management transfer in China; Changes in irrigation as a result of policy reform in China leading to irrigation management tran...
Evaluates the turnover of two formerly government-managed irrigation districts in Colombia to the water users’ associations. Impacts are analyzed in terms of the cost of irrigation to farmers and the government, the quality of water distribution, the sustainability of irrigation, the productivity of agriculture, and farmer income.
Describes the application of a standard methodology developed by IWMI to assess the impact of irrigation management transfer on the performance of irrigation schemes. Includes detailed analysis of the effects of participatory management on the performance of irrigation schemes in Sri Lanka.
Examines the extent to which the Government of Indonesia's aspirations were realized through turnover program adopted in 1987. The impacts of management turnover on irrigation management and irrigated agriculture in selected systems in West and Central Java are analyzed. This study is part of a comparative research program to examine the impacts of irrigation management transfer in several countries using a common methodology.
From a river-basin perspective, wastewater irrigation is an important form of water and nutrient reuse; however, there are important water quality, environmental, and public health considerations. This report explores the advantages and risks of urban wastewater reuse for crop production in the water-short Guanajuato river-basin in west-central Mexico, and then by a selective literature review demonstrates how common this practice is worldwide. It also evaluates several alternative water-management scenarios through application of the Interactive River Aquifer Simulation (IRAS) model, developed by Cornell University and Resource Planning Associates.
A study of the enormous differences in agricultural productivity that exist across farms and regions in Pakistan, where, for example, recent farm-level data from Sindh, indicates that irrigated wheat output per hectare varies from 0.5 to 5.4 tons across farms. Looks at the central goal of agricultural policy in the country, viz. improving and sustaining productivity, narrowing the existing productivity gaps, and enhancing resource use efficiencies to meet food requirements of a rapidly growing population.
Public domain datasets are freely available on the Internet are easy to obtain, and often more up-to-date than those from local sources. This simplifies the modeling process and increases the ability to model basins anywhere in the world, from anywhere with Internet access. Although not all types of data are available, and some conversions may be needed, the information provided does allow for quick and easy simulations of basins. The Semi-Distributed Land-Use Runoff Process (SLURP) hydrological model has been designed to take advantage of such data sources. The application described in this report uses public domain data for topography, land use, seasonal variation in leaf area index (for transpiration) and climate data- all without calibration of parameters.