Human health risk assessment of fluoride-rich groundwater using fuzzy-analytical process over the conventional technique

Mohanta, Vijay Laxmi; Singh, Shubham; Mishra, Brijesh Kumar

doi:10.1016/j.gsd.2019.100291

Cited by 19 publications

(10 citation statements)

References 34 publications

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“…The parent rock itself is the primary natural source of fluoride in the soil. Weathering, mineral disintegration, and volcanic eruptions are natural phenomena that increase fluoride content in groundwater [141]. Fluorite, the only primary fluorine mineral in nature, is typically found in granite rocks as an accessory.…”

Section: Fluoridementioning

confidence: 99%

Various Natural and Anthropogenic Factors Responsible for Water Quality Degradation: A Review

Akhtar

Ishak

Bhawani

et al. 2021

Water

531

117

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Recognition of sustainability issues around water resource consumption is gaining traction under global warming and land utilization complexities. These concerns increase the challenge of gaining an appropriate comprehension of the anthropogenic activities and natural processes, as well as how they influence the quality of surface water and groundwater systems. The characteristics of water resources cause difficulties in the comprehensive assessment regarding the source types, pathways, and pollutants behaviors. As the behavior and prediction of widely known contaminants in the water resources remain challenging, some new issues have developed regarding heavy metal pollutants. The main aim of this review is to focus on certain essential pollutants’ discharge from anthropogenic activities categorized based on land-use sectors such as industrial applications (solid/liquid wastes, chemical compounds, mining activities, spills, and leaks), urban development (municipal wastes, land use practices, and others), and agricultural practices (pesticides and fertilizers). Further, important pollutants released from natural processes classified based on climate change, natural disasters, geological factors, soil/matrix, and hyporheic exchange in the aquatic environment, are also discussed. Moreover, this study addresses the major inorganic substances (nitrogen, fluoride, and heavy metals concentrations). This study also emphasizes the necessity of transdisciplinary research and cross-border communication to achieve sustainable water quality using sound science, adaptable legislation, and management systems.

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Section: Fluoridementioning

confidence: 99%

Various Natural and Anthropogenic Factors Responsible for Water Quality Degradation: A Review

Akhtar

Ishak

Bhawani

et al. 2021

Water

531

117

View full text Add to dashboard Cite

show abstract

“…Although the HI data provided an appropriate indication of the noncarcinogenic health effects for residents, these values might suffer from a degree of uncertainty [ 3 ]. For instance, the exposure parameters and water consumption rates used to characterize the risks might vary according to regional or individual differences.…”

Section: Resultsmentioning

confidence: 99%

“…Mohanta et al [ 3 ] proposed an index model using the fuzzy logic approach to investigate the effect of fluoride on human health (adults and children). Fluoride concentration and FHI were the model’s input and output, respectively.…”

Section: Resultsmentioning

confidence: 99%

“…The parameters of the Gaussian shape functions, along with the linguistic classification of FHI for adult and children, are given in S3 and S4 Tables. The amount of overlap of membership functions for each input variable was assigned by an expert’s advice and the permissible limit of each metal [ 3 ]. Three fuzzy If-Then rules were considered to be suitable for this study.…”

Section: Methodsmentioning

confidence: 99%

“…River water have been used for various purposes including drinking, irrigation, domestic and industrial applications [ 1 , 2 ]. Unfortunately, the water quality in rivers has recently suffered from dramatic deterioration due to various anthropogenic and natural activities [ 3 ]. Among different pollutants, heavy metals are of serious concern due to their toxic, bioaccumulative, non-biodegradable nature [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

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Heavy metal contamination in the complete stretch of Yamuna river: A fuzzy logic approach for comprehensive health risk assessment

et al. 2022

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River Yamuna is one of the most sacred major tributaries of river Ganga. This study aimed to assess the level of heavy metals in monsoon and non-monsoon season in river Yamuna in Uttar Pradesh, India and to assess the possible source of contamination and its associated health risk. Except for iron (Fe), the mean levels of all metals were within drinking water safe limits in both seasons. Except for chromium (Cr), lower values were observed for other metals in the monsoon season could be attributed dilution effect. Multivariate analysis indicated that both geogenic and anthropogenic sources contribute to heavy metals in river Yamuna in monsoon and non-monsoon seasons. The health risk in terms of hazard index (HI) and fuzzy-logic hazard index (FHI) demonstrated that both HI and FHI values among children exceeded the safe limit in most of the sites in non-monsoon seasons and in few in monsoon season. For adults, HI and FHI values were within safe limit.

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Integration of cancer and non-cancer human health risk assessment for Aniline enriched groundwater: a fuzzy inference system-based approach

Mohanta

Mishra

2020

Environ Geochem Health

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Human health risk assessment of fluoride-rich groundwater using fuzzy-analytical process over the conventional technique

Cited by 19 publications

References 34 publications

Various Natural and Anthropogenic Factors Responsible for Water Quality Degradation: A Review

Various Natural and Anthropogenic Factors Responsible for Water Quality Degradation: A Review

Heavy metal contamination in the complete stretch of Yamuna river: A fuzzy logic approach for comprehensive health risk assessment

Integration of cancer and non-cancer human health risk assessment for Aniline enriched groundwater: a fuzzy inference system-based approach

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