Nitrate contamination of groundwater in the Lower Volta River Basin of Ghana: Sources and related human health risks
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Date
2020-01-22
Journal Title
Journal ISSN
Volume Title
Publisher
Ecotoxicology and Environmental Safety
Abstract
A significant population within the Lower Volta River Basin of Ghana relies solely on untreated groundwater
(GW) and surface water (SW) for various purposes. However, negative practices associated with increasing
human activities pose threats to particularly GW quality in the basin. Using NO3
− as a proxy, this study mainly
focused on the status of GW contamination, origins of NO3
− and potential human health risks through integrated
hydrochemistry, correlation analysis, isotopes (15N, δ18O), Bayesian and USEPA human health risk models.
Slightly acidic to alkaline GW and SW environments were observed. Electrical conductivity (EC) values above
1000 μS/cm were recorded in 45% of the GW with a maximum of 19370 μS/cm. NO3
− in GW ranged from 0.12
to 733 mg/L with average 59.6 mg/L and positively correlated with K+, Ca2+, Mg2+, Cl−, Na+ and EC. In SW, a
maximum of 5.3 mg/L of NO3
− was observed. Largely, 75% of the GW exceeded local background NO3
− value
of 2.1 mg/L, while 35% were above the WHO recommended value of 50 mg/L. Bivariate and correlation relationships
elucidated human contributions to sources of NO3
−, Cl−, SO4
2− and K+ to GW in the basin. From
NO3
−/Cl− ratio, 43% of the GW and 21% of SW were affected by effluents and agrochemicals. Values for
δ15N–NO3
- and δ18O–NO3
- ranged from +4.2‰to +27.5‰and +4.5‰to +19.9‰for GW, and from +3.8‰
to +14.0‰and +10.7‰to +25.2‰for SW. Manure, septic effluents and mineralized fertilizers are sources of
NO3
− contamination of water in the basin. The Bayesian model apportioned 80% of GW NO3
− contamination to
sewage/manure. Hazard index indicated 70%, 50% and 48% medium to high-risk levels for infants, children and
adults respectively, with 79% high-risk of SW NO2
− contamination to infants. Immediate measures for GW and
SW quality protection are recommended.
Description
Research Article
Keywords
Groundwater hydrochemistry, Nitrate contamination, Bayesian model, Health risk assessment, Management options