Seasonal changes of heavy metals and health risk assessment based on Monte Carlo simulation in alternate water sources of the Xinbian River in Suzhou City, Huaibei Plain, China DOI Creative Commons
Hao Yu,

Manli Lin,

Weihua Peng

et al.

Ecotoxicology and Environmental Safety, Journal Year: 2022, Volume and Issue: 236, P. 113445 - 113445

Published: April 1, 2022

The urban alternate water source (AWS) is of great significance to the sustainable development city, pollution degree, and heavy metals (HMs) in AWS, whether it will adversely affect human health has received widespread attention. In this study, AWS Xinbian River Suzhou City, Huaibei Plain, China, was used as research object study seasonal changes HMs (As, Cr, Cu, Cd, Pb, Zn), quantitative identification sources, risks (HHR). Research results show that contents those HMs, except As, are less than drinking standards limit set by World Health Organization (WHO), Zn largest summer. multivariate statistical analysis combined with positive matrix factorization (PMF) model revealed industrial sources accounted for 44.83%, agricultural 55.17%. HHR assessment based on Monte Carlo simulation shows noncarcinogenic adults children acceptable range (hazardous ingestion (HI) < 1), probability carcinogenic risk values 95.03% 38.96%, respectively, which exceed (1 × 10-4) recommended United States Environment Protection Agency (USEPA). Approximately 30.75% value exceeds 10-4). above indicate effect non-point should be prevented.

Language: Английский

Contamination characteristics, source identification, and source-specific health risks of heavy metal(loid)s in groundwater of an arid oasis region in Northwest China DOI

Danrui Sheng,

Xianhong Meng,

Xiaohu Wen

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 841, P. 156733 - 156733

Published: June 16, 2022

Language: Английский

Citations

78
Evaluation of groundwater heavy metal pollution index through analytical hierarchy process and its health risk assessment via Monte Carlo simulation DOI

Lobzang Chorol,

Sunil Kumar Gupta

Process Safety and Environmental Protection, Journal Year: 2022, Volume and Issue: 170, P. 855 - 864

Published: Dec. 24, 2022

Language: Английский

Citations

71
Comprehensive health risk analysis of heavy metal pollution using water quality indices and Monte Carlo simulation in R software DOI Creative Commons
Ahmad Badeenezhad, Hamed Soleimani, Samaneh Shahsavani

et al.

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: Sept. 22, 2023

Rapid urbanization, population growth, agricultural practices, and industrial activities have led to widespread groundwater contamination. This study evaluated heavy metal contamination in residential drinking water Shiraz, Iran (2021). The analysis involved 80 samples collected across wet dry seasons. Water quality was comprehensively assessed using several indices, including the metals evaluation index (HEI), pollution (HPI), degree (CD), (MI). Carcinogenic non-carcinogenic risk assessments were conducted deterministic probabilistic approaches for exposed populations. In assessment, chronic daily intake (CDI), hazard quotient (HQ), (HI) are employed. precision of assessment bolstered through utilization Monte Carlo simulation, executed R software platform. Based on results, both seasons, Zinc (Zn) consistently demonstrates highest mean concentration, followed by Manganese (Mn) Chromium (Cr). During 25% 40% regions exhibited high CD, respectively. According Cr presents CDI HQ children adults, Mn, As HI values, indicating elevated children. carcinogenic while lowest Cd sensitivity found that concentration ingestion rate significantly impact risks. These findings provide critical insights shaping policy allocating resources towards effectively managing water.

Language: Английский

Citations

61
Exposure Factors in Health Risk Assessment of Heavy Metal(loid)s in Soil and Sediment DOI Creative Commons
Andrijana Miletić, Milica Lučić, Antonije Onjia

et al.

Metals, Journal Year: 2023, Volume and Issue: 13(7), P. 1266 - 1266

Published: July 13, 2023

Heavy metal(loid)s (HMs) play an important role in economic development since they are used various branches of industry. However, all industrial activities emit HMs into the environment, where no longer useful but potentially toxic. It has been observed that enter soil and sediment, potential human health risk may arise due to their excessive accumulation. Having mind importance assessing these media, we analyzed published works last decade created a summary exposure factors models for sediment. This analysis revealed remarkable increase number publications about assessment HMs, especially few years. Since many differences values distributions were noted, this study focused on elucidating differences. Non-carcinogenic carcinogenic evaluated through deterministic approach is prevalent use, probabilistic one, which gaining more attention research. In end, guided by studied literature, propose factors.

Language: Английский

Citations

55
Using unsupervised machine learning models to drive groundwater chemistry and associated health risks in Indo-Bangla Sundarban region DOI

Jannatun Nahar Jannat,

Abu Reza Md. Towfiqul Islam, Md Yousuf Mia

et al.

Chemosphere, Journal Year: 2024, Volume and Issue: 351, P. 141217 - 141217

Published: Jan. 20, 2024

Language: Английский

Citations

20
Entropy-weighted water quality index, hydrogeochemistry, and Monte Carlo simulation of source-specific health risks of groundwater in the Morava River plain (Serbia) DOI
Jelena Vesković,

Ivana Deršek-Timotić,

Milica Lučić

et al.

Marine Pollution Bulletin, Journal Year: 2024, Volume and Issue: 201, P. 116277 - 116277

Published: March 26, 2024

Language: Английский

Citations

19
Navigating the molecular landscape of environmental science and heavy metal removal: A simulation-based approach DOI Creative Commons

Iman Salahshoori,

Marcos A.L. Nobre, Amirhosein Yazdanbakhsh

et al.

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

Citations

17
Distribution, exposure, and human health risk analysis of heavy metals in drinking groundwater of Ghayen County, Iran DOI

Seyed Ali Sajjadi,

Ali Akbar Mohammadi, Rasoul Khosravi

et al.

Geocarto International, Journal Year: 2022, Volume and Issue: 37(26), P. 13127 - 13144

Published: May 17, 2022

The concentrations of arsenic (As), chromium (Cr), lead (Pb) and zinc (Zn) the human health risk metals were estimated through drinking water consumption. Totally, 48 samples groundwater collected analyzed during 2019. Health indices using chronic daily intake (CDI), hazard quotient (HQ) and, index (HI), as well cancer (CR). Except for As (66.6% areas above permissible limits), other three heavy within US EPA WHO limits. ∑HI values in 100% 75% 1 children adults, implying non-carcinogenic from sum metals. Children total (CRt) all (except one area with acceptable risk) fell unacceptable risk. Adults CRt category. was highest contributor to carcinogenic risks both adults. Our results showed that more exposed risks, due containing As, Cr, Pb study areas. can provide a basis local governments properly manage quality reference management neighborhood

Language: Английский

Citations

57
An integrated approach for quantifying source apportionment and source-oriented health risk of heavy metals in soils near an old industrial area DOI
Chang Tan, Hao Wang, Qingchun Yang

et al.

Environmental Pollution, Journal Year: 2023, Volume and Issue: 323, P. 121271 - 121271

Published: Feb. 16, 2023

Language: Английский

Citations

40
Health Risk Assessment of Heavy Metals in Groundwater of Hainan Island Using the Monte Carlo Simulation Coupled with the APCS/MLR Model DOI Open Access
Huanhuan Shi, Min Zeng, Hongxia Peng

et al.

International Journal of Environmental Research and Public Health, Journal Year: 2022, Volume and Issue: 19(13), P. 7827 - 7827

Published: June 26, 2022

Groundwater is a significant component of water resources, but drinking groundwater with excessive heavy metals (HMs) harmful to human health. Currently, quantitative source apportionment and probabilistic health risk assessment HMs in are relatively limited. In this study, 60 samples containing seven were collected from Hainan Island analyzed by the coupled absolute principal scores/multiple linear regression (APCS/MLR), (HRA) Monte Carlo simulation (MCS) quantify pollution sources risks. The results show that high-pollution-value areas mainly located industry-oriented western region, level study area generally low. main found be mixed agricultural activities traffic emissions (39.16%), industrial (25.57%) natural (35.27%). Although non-carcinogenic risks for adults children negligible, carcinogenic at high level. Through analyzing relationship between HMs, sources, risks, contribute most Cr determined as priority control HM. This emphasizes importance evaluation HM assessment, which provides an essential basis prevention Island.

Language: Английский

Citations

39