Hydraulic performance evaluation of the water conveyance system of Doho rice irrigation scheme in Uganda.

  • Bwambale Erion Pan African University Institute for Basic Sciences Technology and Innovation (PAUISTI), Kenya
  • Patrick G. Home Jomo Kenyatta University of Agriculture & Technology, Kenya
  • James M Raude Jomo Kenyatta University of Agriculture & Technlogy, Kenya
  • Joshua Wanyama Makerere University, Uganda


Poor water distribution is a major problem in many surface irrigation schemes in Uganda, especially at the tail reaches. This has led to reduced crop yield from these water-stressed fields. This study reports the results of evaluating the hydraulic performance of the water conveyance system of Doho Rice Irrigation Scheme for one cropping season for the first quarter of 2019. For the main canal, the conveyance efficiency indicator was used while for the lateral canals indicators of adequacy, efficiency, dependability, equity, and the equity ratio of head to tail were used to evaluate the hydraulic performance. Performance indicators were computed at the head and tail ends of the canals thus comparing the inlet and distribution processes. Field measurements coupled with simulation techniques were used to obtain the delivered and required flows. It was found that the acceptable average hydraulic performance indicators of the scheme were 0.84, 0.79, 0.07 and 0.26 for adequacy, efficiency, dependability, and equity respectively, the tail reaches suffer in performance with the adequacy, dependability, and equity ratio at 0.68, 0.12, and 3.13 respectively. Improving hydraulic performance of the scheme necessitates reduction of water conveyance losses, adherence to distribution plans and monitoring of diversions to the canals.
Dec 6, 2019
How to Cite
ERION, Bwambale et al. Hydraulic performance evaluation of the water conveyance system of Doho rice irrigation scheme in Uganda.. JOURNAL OF SUSTAINABLE RESEARCH IN ENGINEERING, [S.l.], v. 5, n. 2, p. 101-112, dec. 2019. ISSN 2409-1243. Available at: <http://sri.jkuat.ac.ke/ojs/index.php/sri/article/view/774>. Date accessed: 29 jan. 2020.

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plug-in to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.