New approach into human health risk assessment associated with heavy metals in surface water and groundwater using Monte Carlo Method

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Jan. 10, 2024

Abstract This study assessed the environmental and health risks associated with heavy metals in water resources of Egypt's northwestern desert. The current approaches included Spearman correlation matrix, principal component analysis, cluster analysis to identify pollution sources quality-controlling factors. Various indices (HPI, MI, HQ, HI, CR) were applied evaluate human risks. Additionally, Monte Carlo method was employed for probabilistic carcinogenic non-carcinogenic risk assessment via oral dermal exposure routes adults children. Notably, all exhibited high HPI MI values exceeding permissible limits (HPI > 100 6), respectively. Furthermore, HI indicated significant both children, while contact posed a 19.4% samples 77.6% children (HI 1). Most CR 1 × 10 –4 Cd, Cr, Pb, suggesting vulnerability effects age groups. simulations reinforced these findings, indicating impact on adults. Consequently, comprehensive treatment measures are urgently needed mitigate Siwa Oasis.

Language: Английский

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Navigating the molecular landscape of environmental science and heavy metal removal: A simulation-based approach

Journal of Molecular Liquids, Journal Year: 2024, Volume and Issue: 410, P. 125592 - 125592

Published: July 20, 2024

Heavy metals pose a significant threat to ecosystems and human health because of their toxic properties ability bioaccumulate in living organisms. Traditional removal methods often fall short terms cost, energy efficiency, minimizing secondary pollutant generation, especially complex environmental settings. In contrast, molecular simulation offer promising solution by providing in-depth insights into atomic interactions between heavy potential adsorbents. This review highlights the for removing types pollutants science, specifically metals. These powerful tool predicting designing materials processes remediation. We focus on specific like lead, Cadmium, mercury, utilizing cutting-edge techniques such as Molecular Dynamics (MD), Monte Carlo (MC) simulations, Quantum Chemical Calculations (QCC), Artificial Intelligence (AI). By leveraging these methods, we aim develop highly efficient selective unravelling underlying mechanisms, pave way developing more technologies. comprehensive addresses critical gap scientific literature, valuable researchers protection health. modelling hold promise revolutionizing prediction metals, ultimately contributing sustainable solutions cleaner healthier future.

Language: Английский

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Environmental Risk Assessment of Trace Metal Pollution: A Statistical Perspective

Environmental Geochemistry and Health, Journal Year: 2025, Volume and Issue: 47(4)

Published: Feb. 28, 2025

Abstract Trace metal pollution is primarily driven by industrial, agricultural, and mining activities presents complex environmental challenges with significant implications for ecological human health. Traditional methods of risk assessment (ERA) often fall short in addressing the intricate dynamics trace metals, necessitating adoption advanced statistical techniques. This review focuses on integrating contemporary methods, such as Bayesian modeling, machine learning, geostatistics, into ERA frameworks to improve precision, reliability, interpretability. Using these innovative approaches, either alone or preferably combination, provides a better understanding mechanisms transport, bioavailability, their impacts can be achieved while also predicting future contamination patterns. The use spatial temporal analysis, coupled uncertainty quantification, enhances hotspots associated risks. Integrating models ecotoxicology further strengthens ability evaluate health risks, providing broad framework managing pollution. As new contaminants emerge existing pollutants evolve behavior, need adaptable, data-driven methodologies becomes ever more pressing. advancement tools interdisciplinary collaboration will essential developing effective management strategies informing policy decisions. Ultimately, lies diverse data sources, analytical techniques, stakeholder engagement, ensuring resilient approach mitigating protecting public

Language: Английский

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Determination of heavy metals and health risk assessment in drinking water in Jigjiga City, Ethiopia

Discover Environment, Journal Year: 2024, Volume and Issue: 2(1)

Published: May 1, 2024

Abstract Water is essential to life on Earth, yet heavy metal concentrations in it can have negative consequences people's health. This study was designed measure the levels of seven metals (Fe, Zn, Cu, Pb, Cr, Cd, and Ni) drinking groundwater Jigjiga City asses associated health risk. samples were collected from 3 boreholes 7 tap. The measured using Flame Atomic Absorption Spectroscopy (FAAS). Chronic daily intake (CDI), hazard quotient (HQ), index (HI), Incremental lifetime risk assessment (ILCR) employed assess findings showed that range 7.77 ± 0.7 29.13 7.22 mg/L for Fe; 0.06 0.01–2.72 0.29 Zn; 0.65 0.04–2.15 0.63 Cu; BDL–0.36; BDL–0.45 0.24 Pb; BDL–1.43 0.15 Cd; 0.01 0–0.05 0 Cr 0.03 0.01–0.01 Ni. HQ indices various sampling sites Cd > Ni Cu Pb Fe Zn both adults children. An elevated emphasizing further data gathering required. ILCR cadmium major factor cancer particularly will help inhabitants government bodies tumbling pollution water.

Language: Английский

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Electrochemical Detection of Cd2+, Pb2+, Cu2+ and Hg2+ with Sensors Based on Carbonaceous Nanomaterials and Fe3O4 Nanoparticles

Nanomaterials, Journal Year: 2024, Volume and Issue: 14(8), P. 702 - 702

Published: April 18, 2024

Two electrochemical sensors were developed in this study, with their preparations using two nanomaterials remarkable properties, namely, carbon nanofibers (CNF) modified Fe

Language: Английский

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Assessing heavy metal and physiochemical pollution load of Danro River and its management using floating bed remediation

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: April 30, 2024

River Danro in Garhwa (India) plays a vital role as significant source of surface water and crucial tributary the North Koel River, ultimately joining Ganga Basin. Serving both urban-industrial rural areas, region faces challenges, including sand mining near Belchampa Ghat. This study aimed to assess physicochemical heavy metals pollution at nine sampling locations, utilizing Overall Index Pollution (OIP), Nemerow (NPI), Heavy Metal (HPI). OIP values indicated excellent quality (0.71) non-monsoon slight (6.28) monsoon. NPI ranged from 0.10 1.74 0.22 (clean) 27.15 (heavily polluted) HPI results suggested groundwater contamination, particularly by lead. Principal component analysis (PCA) geospatial mapping showed similar outcomes, highlighting influence adjacent land use on quality. Recognizing significance sustaining life, livelihoods, economic growth, recommends implementing measures like floating bed remediation regulatory actions for effective river management. The acknowledges weaknesses current practical assessment methods contamination. These make it difficult put plans cleaning up controlling contamination into action. Because this, future research developing new in-place techniques should focus creating better ways measure how cleanup is.

Language: Английский

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Ecological and Health Risk Assessment of Heavy Metals in Groundwater within an Agricultural Ecosystem Using GIS and Multivariate Statistical Analysis (MSA): A Case Study of the Mnasra Region, Gharb Plain, Morocco

Water, Journal Year: 2024, Volume and Issue: 16(17), P. 2417 - 2417

Published: Aug. 27, 2024

Assessing groundwater quality is essential for ensuring the sustainability of agriculture and ecosystems. This study evaluates contamination by heavy metals (HMs) using GIS approaches, multivariate statistical analysis (MSA), pollution indices (heavy metal index (HPI), (MI), degree (Cd), ecological risk (ERI), (PI)), human health assessment (HHRA). The results revealed significant variations in concentrations across area, with highest found southern southeastern parts, characterized intense agricultural activities uncontrolled landfills. Statistical analyses indicated both natural anthropogenic sources contamination. Pollution showed medium to high water levels, HPI values ranging from 20.23 128.60, MI 3.34 12.17, Cd 2.90 11.73, indicating varying degrees ERI suggested a low all samples. However, assessments highlighted non-carcinogenic carcinogenic risks, particularly children, TCR some like Ni Cr exceeding safe limits, potential hazards. findings provide valuable framework policymakers develop targeted strategies mitigating sustainable management.

Language: Английский

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Evaluation of Groundwater Quality and Potential Health Risks in the Tengratila Gas Field Blowout Region, Bangladesh: An In-Depth Analysis Utilizing Multivariate Statistics, Heavy Metal Indices and Monte Carlo Simulation

Journal of Hazardous Materials, Journal Year: 2025, Volume and Issue: 490, P. 137744 - 137744

Published: March 1, 2025

Language: Английский

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Assessment of Essential and Potentially Toxic Elements in Water and Sediment and the Tissues of Sciaena deliciosa (Tschudi, 1846) from the Coast of Callao Bay, Peru

Toxics, Journal Year: 2024, Volume and Issue: 12(1), P. 68 - 68

Published: Jan. 14, 2024

The lorna drum Sciaena deliciosa is a coastal demersal species and one of the underlying artisanal fisheries in some areas Peru, also source protein for Peruvian dwellers. investigation addresses concern about environmental impact on this fish potential risks to human health through consumption contaminated seafood. This research endeavors assess concentration potentially toxic essential elements muscle liver tissues S. deliciosa, addition presence thereof water sediment capture coast Callao, Peru. study revealed that, samples, Ag, Ni, Zn exceed standards, but were below international Ba, P, Se, Sn standards. In sediments, As, Cd, Pb, Fe, above fish, delicious demonstrated Hg, Pb exceeding at least standard. liver, Cu approach increased accuracy risk assessments, offering crucial insights into interplay between heavy metal pollution, quality, animal health, informing management strategies. Future studies can explore long-term effects exposure different organisms consider their cumulative health.

Language: Английский

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Assessment of Carcinogenic and non-carcinogenic risk indices of heavy metal exposure in different age groups using Monte Carlo Simulation Approach

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Dec. 5, 2024

Abstract Dermal contact, ingestion and inhalation of heavy metal poses significant health risk in human subjects. The exposure could be via potable water, soil or air. current experiment design focuses on media exposure. Advanced probabilistic geospatial methods are used this study which evaluates contamination levels risks associated with iron (Fe), arsenic (As), zinc (Zn), copper (Cu), nickel (Ni), chromium (Cr), lead (Pb), cadmium (Cd) samples. samples were collected analysed using ICP-OES after tri-acid digestion, indices such as Geoaccumulation Index (Igeo), Contamination Factor (CF), Pollution Load (PLI), Hazard Quotient (HQ), (HI), Carcinogenic Risk (CR) to assess environmental impacts across the age groups oral ingestion, dermal contact. indicates concentrations follow order Ni > Zn Pb Cu Cr As Cd, more than 60% demonstrating pollution levels. computational method revealed substantial non carcinogenic (HQ 1) (33%) population related Geospatial analysis Monte Carlo simulations helped identifying hotspots tropical coastal area emphasizing need for targeted remediation focusing Pb.

Language: Английский

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