2022
DOI: 10.1016/j.watres.2022.118083
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Fluoride contamination of groundwater resources in Ghana: Country-wide hazard modeling and estimated population at risk

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Cited by 33 publications
(14 citation statements)
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References 51 publications
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“…Despite generalizing across the entire globe, the geospatial model (Fig. 1) is largely consistent with previous studies that created random forest models focused on India 38 , Ghana 53 and parts of the American Southwest 40 and similar, though less detailed, to another fluoride prediction model created for China 54 . In addition to areas well constrained by fluoride measurements, such as much of Australia and the Americas, it is noteworthy that the model identifies many regions with high fluoride hazard where no measurements were available, for example, in many parts of Africa and Central Asia.…”
Section: Discussionsupporting
confidence: 84%
See 1 more Smart Citation
“…Despite generalizing across the entire globe, the geospatial model (Fig. 1) is largely consistent with previous studies that created random forest models focused on India 38 , Ghana 53 and parts of the American Southwest 40 and similar, though less detailed, to another fluoride prediction model created for China 54 . In addition to areas well constrained by fluoride measurements, such as much of Australia and the Americas, it is noteworthy that the model identifies many regions with high fluoride hazard where no measurements were available, for example, in many parts of Africa and Central Asia.…”
Section: Discussionsupporting
confidence: 84%
“…The muted influence of lithology on the model can be ascribed to the relatively low degree of detail in the available standardized global lithological map. If creating a prediction map at a smaller scale, the incorporation of country-scale lithological maps can indeed play an important role 43,53 . It is also worth noting that with regard to the calculation of variable importance, a categorical variable (such as lithology) is less likely than a continuous variable to have an effect on the model when its values are randomly sorted, due to having far fewer possible values.…”
Section: Discussionmentioning
confidence: 99%
“…These activities have resulted in the destruction of land and vegetation, pollution of water, air, and soil (Mensah et al, 2015;Kodua & Anaman, 2020;Lissah et al, 2021;Rehman et al, 2021;Gbedzi et al, 2022). Studies have reported the harmful effects these activities have on humans, animals, and plants (e.g., Apambire et al, 1997;Anku et al, 2009;Mensah et al, 2015;Daum et al, 2017;Aboka et al, 2018;Obeng et al, 2019., Araya et al, 2022Sunkari et al, 2022).…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, fluorinated chemicals and nanoparticles [12,13] were commonly used to impart satisfactory amphiphobicity to surfaces [14][15][16] (Table 1). However, the use of fluorinated chemicals is a serious threat to human health and environmental safety [17,18]. Therefore, it is necessary to find a greener way to improve the performance of paper.…”
Section: Introductionmentioning
confidence: 99%