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This may be responsible for high borehole yield at Abiati (Fig. 6 and Table 1).
Available records show that borehole yield ranges from 0.72 to 9 m3 h−1.
Ninety-two borehole yield data overlaid on eight lithological units exhibit variable yield.
At last, groundwater zones produced are compared against borehole yield data to check the validity of the result.
Figure 9 shows the spatial distribution of the borehole yield data on the generalized geological map of the study area.
The methodology presented in the literature for modeling aquifer productivity consists of four steps: (1) describing and partitioning the borehole yield data into two sets, training and validation.
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Borehole yields are highly variable and range between 0.6 and 6.0 m3 h−1 with a mean value of 2.8 m3 h−1.
This may be the reason for good borehole yields in some parts of the basement of the study area.
Borehole yields and specific capacities are noted to be low in regolith aquifers (Umah and Kehinde 1994).
In addition, optimum borehole yields are achieved when the borehole penetrates both the lower saprolite and the overlying fractured basement (Davies and Robins 2007).
The higher borehole yields localities which are found to be situated in the area classified as very good groundwater prospect zones in the reclassified geologic map (Fig. 4).
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