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MODELLING OPTIMAL WATER RESOURCES ALLOCATION IN TIGA DAM, KANO STATE

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  • Recommended for : Student Researchers
  • NGN 5000

ABSTRACT

This study focused on water allocation for different purposes in Tiga dam, using WEAP model to carry out analysis of the hydrological and meteorological information of the study area, with a view to settling the conflict between water allocation of Kano City and major irrigation project. The research commenced with a preliminary site investigation through reconnaissance survey to analyzeactivities related to water resources in the basin. Meteorological and hydrological data were also collected and used to model the hydrological process of Tiga Dam. The model was validated and calibrated using simulated net-evaporation and observe net-evaporation. Meteorological and hydrological data, population and their growth rate, irrigation area and number of industries from 1987 to 2017(31 years) were used in WEAP model software. The model predicted that in the future time from 2031 to 2050 the dam might not meet up with the total demand. Itonly capable of supplying annual average of 410.5 Mm 3 for agriculture with unmet demand of 123.7 Mm 3 and when per hectare demand increase by 33.9%(agricultural scenario), it will supply 658.8 Mm 3 with unmet demand of 188 Mm 3 .It will also supply annual average of 266.3Mm 3 for Kano population with unmet demand of 61.6 Mm 3 and 301.3 Mm 3 when per capital demand is increase by 14.3% (Kano population scenario) with 75.3 Mm 3 unmet demand. Annual average supply toKano industries were 15.5 Mm 3with unmet demand of 5.4 Mm 3 and 20.2 Mm 3 with 7Mm 3 unmet demandwhen industrial allocation is increase by 30.4% (Kano industrial scenario). The Tiga Reservoir will generate 21288.8GJ annual average hydropower with 161.98GJ unmet hydropower demand from 2026. In general, this model predicts that the annual average future water supply from 2018 to 2050 for all purpose is 692.4 vi Mm 3 with unmet demand of 190.8 Mm 3 from 2031 but 980.3 Mm 3 for all scenarios with unmet demand of 270.5 Mm 3 .




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