Water Practice and Technology (May 2024)

Estimation of water inflows to reservoirs of irrigation dams in the Guinea Savannah ecological zone of Ghana

  • Thomas Apusiga Adongo,
  • Felix K. Abagale

DOI
https://doi.org/10.2166/wpt.2024.086
Journal volume & issue
Vol. 19, no. 5
pp. 1624 – 1643

Abstract

Read online

The study was carried out in the northern Ghana to estimate water inflows to nine reservoirs of irrigation dams for a period of 20 years (1999–2018) using the USDA Natural Resources Conservation Service Curve Number model. The key input parameters of the model were hydrologic soil group, rainfall amount, landuse/landcover, weighted curve number, antecedent moisture condition, and potential maximum soil moisture retention. The annual rainfall within the reservoir catchments was found to vary between 617.20 and 1,382.30 mm. The estimated annual runoff depths ranged from 54.10 to 125.55 mm. A high degree of positive correlation was found between rainfall and runoff depths with a coefficient of determination (R2) ranging from 79.80 to 90.70%. Hydrologic soil groups accounted for about 67.2 and 62.5% of the variation in runoff depth and percentage runoff, respectively. The estimated annual water inflows to the reservoirs ranged from 145,206 ± 125,814 m3/y at Gambibgo to 47,074,634 ± 4,395,860 m3/y at Tono. The variation in the annual water inflows and annual storage capacity recharge among the various reservoirs was noted to be influenced by reservoir size, catchment size, rainfall, and soil characteristics in the reservoir catchments. HIGHLIGHTS The study estimated water inflows to nine reservoirs of irrigation dams in the northern Ghana.; The study generated hydrologic soil group maps for the catchment areas of the dams.; The study generated landuse/landcover maps for the catchments of the dams.; The study estimated the runoff depths in the catchments of the dams.; The study established the potential maximum soil moisture retention for the dams’ catchments.;

Keywords