An integrated computational and graphical approach for evaluating the geochemistry and health risks of nitrate-contaminated water for six age groups

Journal of Environmental Science and Health Part C, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 34

Published: Dec. 22, 2024

Nitrate contamination in drinking water poses significant health risks, particularly rapidly urbanizing areas of developing countries. This study presents an integrated computational and graphical approach to evaluate the geochemistry risks nitrate-contaminated for six age groups Southeast, Nigeria. The research employed a detailed methodology combining nutrient pollution index (WNPI), nitrate (NPI), (WPI), geochemical plotting techniques, stoichiometry, risk computations. Water samples from several locations were analyzed physicochemical parameters concentrations. Results revealed predominantly acidic conditions varying levels contamination. Geochemical analysis indicated that silicate weathering ion exchange processes primary influences on chemistry. WPI identified 14.29% as "extremely polluted" (WPI > 1), while WNPI classified 7.14% "moderately (WNPI 1). However, NPI categorized safe, indicating low inputs anthropogenic sources. Health assessments low-moderate with highest total hazard 0.839 6-12 months group; thus, higher vulnerability infants. Oral exposure was found be dominant pathway, contributing over 99.90% risk. provides crucial insights achieving Sustainable Development Goals (SDGs) related quality public protection. offers robust framework resource management interventions risk-prone areas. Future should focus expanding spatial coverage, incorporating sensitivity analyses, exploring advanced technologies real-time monitoring predictive modeling quality.

Language: Английский

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Prediction of non-carcinogenic health risk using Hybrid Monte Carlo-machine learning approach

Human and Ecological Risk Assessment An International Journal, Journal Year: 2023, Volume and Issue: 29(3-4), P. 777 - 800

Published: March 23, 2023

Groundwater contamination caused by elevated nitrate levels and its associated health effects is a serious global concern. The U.S. Environmental Protection Agency has developed method for assessing potential human risks from groundwater that involves extensive sampling analysis. However, this approach can be labor intensive stand as constraint to the robustness of traditional approach. Here in machine learning (ML) could alternative approaches bridging contemporary challenges. Machine models such deep neural networks (DNN), gradient boosting machines (GBM), random forests (RF) generalized linear (GLM) provide solutions overcome these limitations. In study, effectiveness Hybrid Monte Carlo Learning (MC-ML) was evaluated predicting using hazard quotients. A total 32 samples were collected analyzed physical properties during pre- post-monsoon seasons. results showed severely contaminated concentrations, leading high quotient values. prediction model validation error performance metrics MC-DNN outperformed other both training testing phases. These suggest surrogate promising risk assessment methods.

Language: Английский

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Novel hypothesis for infant methemoglobinemia: Survival and metabolism of nitrite-producers from vegetables under gastrointestinal stress and intestinal adhesion

Food Research International, Journal Year: 2024, Volume and Issue: 190, P. 114582 - 114582

Published: June 4, 2024

Language: Английский

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One‐Walled Phthalimide Extended Calix[4]Pyrrole‐Based Supramolecular Adsorbent for Alleviating Nitrate From Simulated Water

ChemistrySelect, Journal Year: 2025, Volume and Issue: 10(5)

Published: Jan. 30, 2025

Abstract In this investigation, meso ‐substituted one‐walled phthalimide appended calix[4]pyrrole ( m Pth–C4P) was prepared from pthalimide functionalized dipyrromethane (DPM, 4 ), acetone, and freshly distilled pyrrole via both conventional as well green protocols utilizing the deep eutectic solvent (DES) of N,N' ‐dimethyl urea (DMU) & l ‐(+)‐tartaric acid (TA) in an appropriate ratio 7:3. order to lessen nitrate (NO 3 − ) ion endowed eutrophication peril, Pth–C4P effectively employed a supramolecular adsorbent for sequestration NO aquatic phase. The extensively characterized by FTIR, 1 H‐NMR, SEM–EDX, elemental mapping corroborate synthesis adsorption ion. surface area found be 11.465 2 g −1 pore size 3.2 nm, pointed out mesoporous nature Pth–C4P. Batch methodology exploited detailing influence process parameters on %efficiency capacity. demonstrated excellent competence (> 91%) within 16 min [NO ] 20 mg L , which translates into good pseudo‐second rate constant value 0.026 . Freundlich model best‐fit pointing multilayer adsorption. maximum saturation capacity 239.03 ‒1 at 298 K, is far better than most reported adsorbents indicating potential confiscate dynamics appraisal elucidated favor uptake with intraparticle liquid film diffusion models governing reaction. Thermodynamic suggested that spontaneous, favorable, exothermic harmony isotherm studies. can used consecutively up cycles along real water > 80% uptake. All these results established efficacious scavenger simulated water.

Language: Английский

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Techno-economic Assessment of Distributed Wellhead RO Water Treatment for Nitrate Removal and Salinity Reduction: A Field Study in Small Disadvantaged Communities

Water Research, Journal Year: 2025, Volume and Issue: unknown, P. 123462 - 123462

Published: March 1, 2025

Language: Английский

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Groundwater Nitrate Contamination and its Effect on Human Health: A Review

Water Conservation Science and Engineering, Journal Year: 2025, Volume and Issue: 10(1)

Published: March 25, 2025

Language: Английский

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3D-printed electrochemical sensor applied to the determination of nitrite: A cost-effective and portable platform for environmental and clinical monitoring

Talanta Open, Journal Year: 2025, Volume and Issue: unknown, P. 100443 - 100443

Published: March 1, 2025

Language: Английский

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Integrated enviro-economic assessment and optimization for sustainable nitrate and fluoride remediation from contaminated water through electrocoagulation-electroreduction

Journal of Water Process Engineering, Journal Year: 2025, Volume and Issue: 72, P. 107575 - 107575

Published: April 1, 2025

Language: Английский

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Enhanced Roughness of Graphene Foam for Optimizing Surface Active Copper With Efficient Electrochemical Detection of Nitrate

Advanced Sustainable Systems, Journal Year: 2025, Volume and Issue: unknown

Published: April 13, 2025

Abstract In light of the growing concern over nitrate pollution, developing convenient and efficient electrochemical sensors for ions is crucial enhancing monitoring drinking water food safety. To improve sensitivity stability copper‐based electrodes detection, ultra‐high conductivity graphene foam developed by group utilized as a supporting electrode copper. By increasing surface roughness foam, its binding interaction with copper enhanced, which significantly improved electron transfer efficiency in composite during detection. Concretely, roughened promotes formation dense layer higher content Cu(OH) 2 well oxygen defects, enhances adsorption further improves detection sensitivity. The resulting achieves an impressive limit 1.78 µ m . This study demonstrates that optimizing can enhance performance electrodes, offering valuable insights design development next‐generation, highly active electrodes.

Language: Английский

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Assessment of Drinking and Irrigation Water Quality Indices Using Geospatial Techniques in the Coal Mining Region of Ramgarh, Jharkhand

Water Air & Soil Pollution, Journal Year: 2025, Volume and Issue: 236(7)

Published: May 3, 2025

Language: Английский

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