Multivariate statistical interpretation on seasonal variations of fluoride-contaminated groundwater quality of Lalganj Tehsil, Raebareli District (UP), India

Sahu, Pokhraj; Kisku, Ganesh Chandra; Singh, Pramod Kumar; Kumar, Vinay; Kumar, Pramod; Shukla, Nishi Kumar

doi:10.1007/s12665-018-7658-1

Cited by 46 publications

(19 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…PCA is a very efficient statistical tool based on pattern recognition which simplifies the variance of large datasets through reduction to smaller and easier interpretable forms based on their inter-relationships [61]. PCA is useful in management of widely spread spatial data through extraction of eigenvalues by maintaining correlation with original variables [62]. The principal components mention the important parameters providing information without reducing the original information [63].…”

Section: Factor Analysismentioning

confidence: 99%

Evaluation of heavy metal pollution for River Gomti, in parts of Ganga Alluvial Plain, India

2020

View full text Add to dashboard Cite

The aim of the current study was to evaluate the status of heavy metal contamination in River Gomti for Lucknow district. The quantification of the pollution levels in River Gomti over a stretch of ~ 61 km, has been attempted through heavy metal pollution index (HPI). The results suggested that 30% of the total sites fall under the category of 'highly polluted' (HPI > 30), and 60% of the sites are designated under 'critically polluted' category (HPI > 100). Further, it was found that the mean HPI value across the stretch of the study area was 149.29 signifying towards the category of 'critical pollution' (HPI > 100). The principal component analysis results suggest strong positive loadings on arsenic (As) and lead (Pb) similar to the hierarchal cluster analysis (HCA) results which signified towards close association between As and Pb. A 'good' correlation (0.51 < r < 0.89) has been found for As with Pb and Mn. The possibility of anthropogenic intrusion as a cause for heavy metal contamination at all sites is also signified through the results from HCA. Thus, the untreated discharge from the agricultural runoff, sewage system including domestic and industrial wastewater has emerged as a potential cause of heavy metal contamination in the river water.

show abstract

Section: Factor Analysismentioning

confidence: 99%

Evaluation of heavy metal pollution for River Gomti, in parts of Ganga Alluvial Plain, India

2020

View full text Add to dashboard Cite

show abstract

“…The HCA is a useful technique for visual comparison in the data; it builds a tree plot where data participated within branches that are close together and dissimilar data separated in other branches (Sahu et al 2018). The HCA was performed in the SPSS software against the physicochemical data of BCR sludge sample collected from the deferent depth the Linkage algorithm applied through ward linkage and distance was measured through rescaled distance cluster.…”

Section: Hierarchical Cluster Analysis (Hca)mentioning

confidence: 99%

Statistical Interpretation and Profiling the Leaching Characteristic of Chromium in the Basic Chrome Sulphate (BCS) Sludge Dumping at Village Khanchandpur-Rania, District Kanpur Dehat, Uttar Pradesh (India)

Kumar

Sahu

Singh

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

Without immobilized hazardous waste contaminates soil and groundwater, which can further bio-accumulates and poses serious negative health impact on flora as well as fauna. The present investigation has been conducted to study of leaching behavior of chromium species in immobilized hazardous waste containing Basic Chrome Sulphate (BCS) dumped at dumping site Khanchandpur Kharanja, Rania, Kanpur Dehat district of Uttar Pradesh, India. Results indicated that the pH of sludge ranged from 10.16–11.90 while EC ranged from 840-16160 dSm-1 in a different layer of the dumpsite and significantly varies on increasing depth. A similar trend was also observed in TDS contents which strongly justified the leaching of salts in lower depth. Total Cr concentration (25029.94 mg kg-1) was observed in the top layer which was significantly increased on increasing depth i.e., 36102.0 mg kg-1 and 42811.77 mg kg-1 while TCLP based concentration ( 216.44 mg kg-1 in top layer) was significantly increased on increasing depth i.e., 406.25 mg kg-1 and 517.60 mg kg-1. A similar trend was also observed in total and TCLP hexavalent and trivalent (Cr6+ and Cr3+) chromium concentration. Hierarchical Cluster Analysis is separated all sample based on depth into three different cluster based on dissimilarity. A significant correlation was observed with TCLP Cr6+ in TCLP Cr3+, EC, and TDS at 0.01 levels while EC, TDS, total Cr6+, and TCLP Cr were significant correlated with TCLP Cr3+. The leaching behavior of Cr species was higher as well as increasing of depth in the dumping site.

show abstract

“…51 These samples with higher TDS might cause stomach annoyance and heart sickness along with the formation of kidney stones. 24,52,53 Higher TDS in groundwater might be due to high evaporation as the study area has an arid to semi-arid climate and experiences very high temperatures during the summer months. The total hardness varies between 36 and 792 mg l À1 and 12 samples (20% of the samples) surpass the desirable limit (Table 2).…”

Section: Hydrogeochemical Scenariomentioning

confidence: 99%

“…The groundwater from mid-altitude subtropical regions has higher uoride owing to warmer conditions, enhanced evaporation and less rainfall. 15,23,24 Several parts of India, Iraq, Libya, Turkey, China, Sri Lanka, USA, Pakistan, Iran, East Africa's Ri Valley, Scandinavia and Canada have uoride-enriched water. [25][26][27][28][29][30] About 66 million people in India living in 250 common pathways (intake and dermal) as per the USEPA health risk model.…”

Section: Introductionmentioning

confidence: 99%

The effects of geochemical processes on groundwater chemistry and the health risks associated with fluoride intake in a semi-arid region of South India

Karunanidhi¹,

Aravinthasamy²,

Deepali

et al. 2020

RSC Adv.

View full text Add to dashboard Cite

show abstract

Multivariate statistical interpretation on seasonal variations of fluoride-contaminated groundwater quality of Lalganj Tehsil, Raebareli District (UP), India

Cited by 46 publications

References 25 publications

Evaluation of heavy metal pollution for River Gomti, in parts of Ganga Alluvial Plain, India

Evaluation of heavy metal pollution for River Gomti, in parts of Ganga Alluvial Plain, India

Statistical Interpretation and Profiling the Leaching Characteristic of Chromium in the Basic Chrome Sulphate (BCS) Sludge Dumping at Village Khanchandpur-Rania, District Kanpur Dehat, Uttar Pradesh (India)

The effects of geochemical processes on groundwater chemistry and the health risks associated with fluoride intake in a semi-arid region of South India

Contact Info

Product

Resources

About