Integrating Unsupervised Machine Learning, Statistical Analysis, and Monte Carlo Simulation to Assess Toxic Metal Contamination and Salinization in Non-Rechargeable Aquifers DOI Creative Commons
Mohamed Hamdy Eid, Omar Saeed, András Székács

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104989 - 104989

Published: April 1, 2025

Language: Английский

Polyacrylonitrile-supported symmetrical configuration pyridine bridged bi-iron phthalocyanine nanofibers for efficient degradation of carbamazepine in the presence of peroxymonosulfate DOI
Yu Liu,

Zhexin Zhu,

Wenjuan Wang

et al.

Journal of Colloid and Interface Science, Journal Year: 2025, Volume and Issue: 687, P. 158 - 167

Published: Feb. 11, 2025

Language: Английский

Citations

0

An Overview of Metal(oid) Pollution, Sources, and Probabilistic Health Risk Evaluations Based on a Monte Carlo Simulation of Surface River Water in a Developing Country DOI Open Access
Ram Proshad,

Krishno Chandra,

Pritom Bhowmik Akash

et al.

Water, Journal Year: 2025, Volume and Issue: 17(5), P. 630 - 630

Published: Feb. 21, 2025

Water pollution is a significant problem stemming from several causes, with the contamination of heavy metal(oid)s being primary concern. This especially concerning because poisonous characteristics these and their effects on aquatic ecosystem. research distinguished by its unique methodology for assessing in surface water Bangladeshi rivers over period sixteen years, 2007 to 2022. work seeks elucidate recent results metal(oid) concentrations, levels, multivariate statistical analyses, source identification using positive matrix factorization models, probabilistic health risks. The findings reveal that concentrations chromium, nickel, arsenic, cadmium, lead exceeded acceptable limits drinking established World Health Organization (WHO) factors 4.64, 2.25, 22.51, 45.60, 10.13, respectively. Our meta-analysis, subsequent Principal Component Analysis, indicated increased hazardous metals account 85.47% variation both anthropogenic natural causes. Ecological risk indicators, including metal index (84.06) Nemerow (10.55), contamination. like indicate substantial (PMF) model detected following sources water: industrial (22%), mixed (32%), agricultural activities (27%), (19%). Furthermore, Monte Carlo-simulation-based assessments hazards mean hazard (HI) cancer values adults (301.89 422.76) children (51.56 39.45) significantly recommended limits, suggesting are vulnerable potential non-carcinogenic carcinogenic immediate execution control measures regulations essential avert escalating water, protect ecosystems, mitigate hazards.

Language: Английский

Citations

0

A Temporal Analysis of Cancer Risk Associated with Cadmium and Arsenic Found in PM 2.5 in the University of Ilorin and its Environs; A probabilistic approach DOI
O. A. Falaiye,

Samuel Nwabachili,

Muyiwa Michael Orosun

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 16, 2025

Abstract As a result of the rapid industrialization various cities in Nigeria, rural-urban migration, and increase population, there has been spike level pollutants getting into atmosphere which is majorly anthropogenic factors such as combustion fuel, usage vehicles, indiscriminate burning refuse, just to mention few. Air pollution become thing concern due health effects associated with it Chronic Obstructive Pulmonary Disease (COPD), Lung Cancer, asthma, etc. This study aimed at analyzing cancer risks PTMs (Cd As) found PM2.5, Using probabilistic approach. The concentrations that were analysed collected from Surface Particulate Matter Network (SPARTAN) mounted Department Physics, University Ilorin. mean Concentration Cd this site ranged 0.000377μg/m3 0.00767μg/m3 lowest being recorded March, highest November. For As, concentration 8.67e-05μg/m3 and 0.00329μg/m3 November, March. higher than WHO EU set limits, July (0.00648 μg/m3), August (0.007487 November (0.00767 μg/m3). From Monte Carlo Simulation for Cancer Risk assessment, was out Cd, risk via inhalation value 6.08e-03, least March 3.06e-04 these values cause concern. Via dermal contact, October 1.47e-06, 2.94e-05 all safe zone. Inhalation 2.36e-03, April 1.56e-04, while 3.81e-07, 1.01e-08. These results therefore indicated inhalation, both showed great Risk, but reverse case contact.

Language: Английский

Citations

0

Integrating Unsupervised Machine Learning, Statistical Analysis, and Monte Carlo Simulation to Assess Toxic Metal Contamination and Salinization in Non-Rechargeable Aquifers DOI Creative Commons
Mohamed Hamdy Eid, Omar Saeed, András Székács

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104989 - 104989

Published: April 1, 2025

Language: Английский

Citations

0