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- W3127195655 abstract "Surface water pollution from industrial, agricultural, municipal, and transportation sources constitutes a serious menace to ecological functioning. In the developing countries of Africa, rapidly emerging urban centers like Lagos, Ibadan Bamako, Niamey, and Nairobi, lack of appropriate wastewater disposal, and treatment facilities feature commonly on prominent river basins. Public health and the adjoining and distal terrestrial and aquatic ecosystems are usually at the receiving end of the resultant malevolent impacts. Several mathematical models have been designed to address surface water pollution problems such as eutrophication, heavy metal toxicity, nutrient contamination, etc. Most of these models are too theoretical and do not consider the multifaceted interactions that are associated with ever increasing anthropogenic activities. This informs the need for geoinformation techniques to model the pattern of pollution along a river that drains an industrial estate with a view of identifying and analyzing risk potential. The industrial basin is found in Ibadan, southwestern Nigeria. The river was sampled around each industry for 14 physicochemical properties using standard laboratory procedures. The diffusion pattern and magnitude of the toxicity was modeled in the geospatial environment while the risk level of the industrial river basin was assessed. Considerable heavy metallic contaminants like As, Pb, Cr, Cd, and Ni were identified at various points along the river. Human settlements and ecosystems within this basin are highly exposed to pollution hazards while settlements downstream of the river are at potential environmental risk. Phytoremediation was considered the most viable method to remediate the situation." @default.
- W3127195655 created "2021-02-15" @default.
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- W3127195655 date "2021-01-01" @default.
- W3127195655 modified "2023-10-10" @default.
- W3127195655 title "Geospatial Assessment of Surface Water Pollution and Industrial Activities in Ibadan, Nigeria" @default.
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- W3127195655 doi "https://doi.org/10.1007/978-3-030-63422-3_12" @default.
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