Abstract:
Groundwater is one of the important necessary renewable resources of the
world. It forms part of the natural water cycle that is present in the underground strata with the principal sources being precipitation and streamflow.
Traditionally, information on the potential occurrence of groundwater was
obtained using techniques such as drilling, geophysical, geological, hydrogeological and geo-electrical which are time-consuming, costly and lacked full
coverage. This study shows that remote sensing and GIS techniques can be
utilized to map groundwater potential using a GIS-based model, the Modified
DRASTIC Model, which incorporates factors that influence groundwater occurrence. These factors are the surface attributes that infer groundwater potentials and they include geology, soil texture, land use, lithology, landforms,
slope steepness, lineaments and drainage systems. A prediction of the groundwater prediction was done by utilizing the MOLUSCE tool, a plugin in Qgis
that utilizes ANN, multicriteria evaluation, weights of evidence and LRs algorithms in predicting land changes. The kappa value for prediction was 0.83.
The results showed areas in the Southwest region had low to very low potential and the central region had high to very high potential for all the years and
there were little changes between the years. The prediction showed that by
2042, the eastern region of Kiambu County will have a decline in groundwater potential.
