Origin of high fluoride in groundwater of the Tuticorin district, Tamil Nadu, India

Singaraja, C.; Chidambaram, S.; Jacob, Noble; Babu, G. Johnson; Sekar, Selvam; Anandhan, P.; Rajeevkumar, E.; Balamurugan, K.; Tamizharasan, K.

doi:10.1007/s13201-018-0694-x

Cited by 23 publications

(3 citation statements)

References 36 publications

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“…As indicated in Table 5, there is a positive correlation between the concentration of HCO 3 -(bicarbonate) and the concentration of Fin the research region, with a correlation coefficient of 0.171. It has been documented in the literature that pH and CO 2 have similar positive correlations with HCO 3and F - (Singaraja et al 2018). The groundwater Fenrichment is caused by geogenic causes rather than anthropogenic, as indicated by the negative correlation between NO 3and F -(r = -0.061) which is well supported by report in literature (Nawale et al 2021).…”

Section: Pearson Correlation Studysupporting

confidence: 79%

Application of a multivariate water quality index to evaluate the groundwater geochemistry of Jajpur district, Odisha, India and assessment of potential health risks

Sabinaya

Mahanty

Lhamo

et al. 2023

Preprint

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There are several water quality issues with groundwater in India, including fluoride and nitrate, which are all harmful to human health. In the current study, 14 distinct hydrochemical parameters were examined in a total of 76 groundwater samples collected from the Jajpur district of Odisha India. Nearly 36.8% and 11.84% of the samples had F- and NO3- values over the WHO permissible limit. The entropy-weighted water quality index (EWQI), the fixed-weight groundwater quality index (GWQI), principal component analysis (PCA) factor (or rotational factor) loading based water quality index (PCWQI) were employed. The four different water quality indices rated about 65.79± 4.68%, 33.55± 3.95%, and 0.66 ±0.76% of the samples as "Excellent," "Good," or "Medium" quality, with a nominal rating discrepancy of 13.15%. Across the WQI ranking, more than 86% of samples were consistently rated as excellent or good. About 38.15% samples surpassed the allowed limit for F- (hazard quotient HQ>1), posing non-carcinogenic health risks for children. Contrarily, 55.26% and 11.84% of NO3-samples, exceeding the permissible limit, and showed non-carcinogenic health risks for both children and adults. Groundwater pollution may increase as a result of some samples having substantial concentrations of NO3- and notably HCO3- ions as well as their positive interdependence. The moderate correlation between Ca2+ and HCO3- (r = 0.410) and the insignificance correlation between Mg2+ and HCO3- (r = 0.234) show that calcite dissolution is far more common than dolomite.

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Section: Pearson Correlation Studysupporting

confidence: 79%

Application of a multivariate water quality index to evaluate the groundwater geochemistry of Jajpur district, Odisha, India and assessment of potential health risks

Sabinaya

Mahanty

Lhamo

et al. 2023

Preprint

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“…This is one of the reasons why high concentrations above 2 mg/L were not reported often in the secondary data collected (Table 1). However, many investigations conducted at local scales with highdensity water sampling have reported concentrations above 2 mg/L [42,49,50], including the independent dataset used in the present study for validation [35,51]. Thus, the spatial distribution of wells play a significant role in forming the interpolation patterns [48].…”

Section: Discussionmentioning

confidence: 75%

Comparing Deterministic and Stochastic Methods in Geospatial Analysis of Groundwater Fluoride Concentration

Brindha

Semiromi

Boumaiza

et al. 2023

Water

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Dental and skeletal fluorosis caused by consuming high-fluoride groundwater has been reported over several decades globally. Prediction maps to estimate the fluoride contaminated area rely on interpolation methods. This study presents a comparison of the accuracy of nine spatial interpolation methods in predicting the fluoride in groundwater. Leave-one-out cross-validation (LOOCV), hold-out validation and validation with an independent dataset were used to assess the precision of the interpolation methods. This is the first study on fluoride with a large dataset (N = 13,585) applied at the regional level in India. Our findings showed that the inverse distance weighted (IDW) algorithm outperformed other methods in terms of less discrepancy between measured and predicted fluoride. IDW and local polynomial interpolation (LPI) were the only methods to predict contaminated areas (fluoride > 1.5 mg/L). However, the area estimated by the typical assessment of the percentage of unsuitable samples was much higher (6.1%) compared to that estimated by IDW (0.2%) and LPI (0.2%). LOOCV provided viable results than the other two validation methods. Interpolation methods are accompanied with uncertainty which are regulated by the sample size, sample density, sample distribution, minimum and maximum measured concentrations, smoothing and border effects. Drawing a comparison among variegated interpolation methods capturing a wide range of prediction uncertainty is suggested rather than relying on one method exclusively. The high-fluoride areas identified in this study can be used by the Government in planning remediation actions.

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“…On the earth's surface fluoride can be transferred into the ground water through leaching or to the surface water by erosion or surface water runoff. Fluoride in groundwater depends on the aquifer fluoride enrichment which further depends on its physical characteristic, rock types, pH of the water, water residence time soil properties as water reacts (Chidambaram et al, 2018).…”

Section: Fluoride In Soilmentioning

confidence: 99%

Remediation of soils contaminated with fluoride using seaweed-derived materials: case of slopes of mount Meru

Moirana

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While exposure to low fluoride is essential for stronger bones and teeth, exposure to high concentration (> 3 mg/L/day) leads to hyperostosis and osteoporosis. This research evaluated the role of fertilizer application on soil’s fluoride release, and assess the effectiveness of using seaweed (Eucheuma cottonnii) derived materials for remedial purposes. The soil characterization results in the study area, indicated the availability of diverse fluoride fractions and in different quantities in the soil such that; water-soluble (Ws-F) (39.5 ± 0.5 mg/kg), Exchangeable (Ex-F) (3.5 ± 0.5 mg/kg), bound to iron/manganese (Fe/Mn-F) (3.1 ± 1.0 mg/kg), and organic matter bound (Or-F) (9.1 ± 2.1 mg/kg) fluoride whereas the total fluoride (Tot-F) was 422 ± 52.9 mg/kg. The study further reports that the use of three studied fertilizers (diammonium phosphate (DAP), Urea, and farmyard manure) accelerates the bioavailability of fluoride in the soil by increasing Ws-F. These results deliver alerts to the plant health regulators suggesting proper management of the quality of fertilizers used for the enhancement of crop quality particularly those used in fluoride-contaminated agricultural soils. While fertilizer application accelerated the bioavailability of fluoride in the soil, soil amendment with dried seaweed (DSW) led to a decrement of Ws-F from 81.7 ± 3.1 mg/kg up to 28.5 mg/kg whereas the fermented seaweed (FSW) decreased Ws-F from 81.7 ± 3.1 mg/kg to 12 ± 1.3 mg/kg following 5 % (w/w) amendments. But unlike DSW and FSW, seaweed-derived biochar (SB) adsorbed fluoride at specific pH five (5) from 103.1 mg/kg to 91.2 ± 3.2 mg/kg whereas hydroxyapatite activated seaweed-biochar (HSB) exhibited defluoridation capabilities at varies pH (3 – 11) with a maximum Ws-F reduction from 103.1 mg/kg to 21.6 ± 2.1 mg/kg which is close to the recommended limit of 16.4 mg/kg. The DSW and FSW defluoridation was based on complexation reactions, alteration of soil properties, and increasing the soil-specific surface area, but SB and HSB defluoridation was through chemisorption. Therefore, seaweed-derived materials are capable of remediation of fluoride contaminated soils and the study recommends further investigation on fluoride uptake by crops in pot and field experiments post-amendment with seaweed derived materials.

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Origin of high fluoride in groundwater of the Tuticorin district, Tamil Nadu, India

Cited by 23 publications

References 36 publications

Application of a multivariate water quality index to evaluate the groundwater geochemistry of Jajpur district, Odisha, India and assessment of potential health risks

Application of a multivariate water quality index to evaluate the groundwater geochemistry of Jajpur district, Odisha, India and assessment of potential health risks

Comparing Deterministic and Stochastic Methods in Geospatial Analysis of Groundwater Fluoride Concentration

Remediation of soils contaminated with fluoride using seaweed-derived materials: case of slopes of mount Meru

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