Abstract
This study utilized geographic information system-based overlay and index methods (DRASTIC, DRASTIC-LU, GOD and AVI models) in mapping groundwater vulnerability zones in Ondo town, Southwestern Nigeria. The models’ parameters were based on hydrogeological (well/borehole) data, geophysical data, and satellite imageries. The weightage of different parameters was done using analytical hierarchy process. The AVI distinguished the area’s vulnerability into two zones as high (94%) and extremely high (6%); GOD distinctly categorized the area into four vulnerability zones, comprising low (42%), moderate (17%), high (25%) and very high representing 16% of the study area. The AVI and GOD showed 60% correlation. On the other hand, the DRASTIC model showed three major zones, as moderately high found in the northwestern part, high, and very high vulnerability zones, constituting 33%, 50%, and 17%, respectively. The DRASTIC-LU based on index values, divided the area into high vulnerability zone (100–120) constituting 87% and very high vulnerability zone (120–145) with 13% aerial coverage. Thus, there is high level of correlation among the models (about 60%), as all displayed high/very high vulnerability zones which characterized the southern part of the study, which was also validated by the nitrate map with nitrate concentration varying from 7 to 15 mg/L. Thus, land use/cover, slope, hydraulic conductivity, net recharge, soil media, and depth to water level are very influential on groundwater quality in the study area, but land use/cover is the most predominant factor. The high percentage of the high vulnerable areas in the south requires prompt action to safeguard the aquifers from further pollution risk.
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The author is grateful to TETFund, Nigeria (under the Institution Based Research) Nigeria. Special appreciation to all students of Civil Engineering Technology Department for the assistance rendered during data acquisition.
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Falowo, O.O., Ojo, O. Geospatial aquifer vulnerability mapping using parametric models in Ondo metropolis, Southwestern Nigeria. Environ Earth Sci 82, 438 (2023). https://doi.org/10.1007/s12665-023-11138-0
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DOI: https://doi.org/10.1007/s12665-023-11138-0