Heavy Metal Contamination and Cancer Risk Assessment in Groundwater Near Dumpsites: Health Implications for Vulnerable Populations in Nigeria DOI Creative Commons

Charming Osaro Asemota,

Alex Ajeh Enuneku, Isioma Tongo

et al.

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

Published: Jan. 15, 2025

Abstract Nigeria is experiencing a growing threat of groundwater pollution due to insufficient waste management practices. This study aimed assess the levels heavy metal contamination in near Ikhueniro and Otofure dumpsites Benin City, Edo State, Nigeria, evaluate associated health risks. Water samples were collected from boreholes residential areas surrounding both during rainy dry seasons, yielding 144 samples. These analyzed for concentrations lead (Pb), cadmium (Cd), chromium (Cr), zinc (Zn), iron (Fe), nickel (Ni), copper (Cu) using standard protocols. The results indicated that Fe, Cu, Zn, Ni most prevalent metals, with Fe showing highest at sites. hazard index (HI) cancer risk (CR) calculations highlighted serious risks, particularly children infants. Specifically, cumulative Pb, Cr, exceeded internationally recognized safety limits, indicating significant potential long-term impacts. concluded proximity these significantly deteriorates quality, emphasizing need stricter environmental controls public interventions.

Language: Английский

Developing a novel tool for assessing the groundwater incorporating water quality index and machine learning approach DOI Creative Commons
Abdul Majed Sajib, Mir Talas Mahammad Diganta, Azizur Rahman

et al.

Groundwater for Sustainable Development, Journal Year: 2023, Volume and Issue: 23, P. 101049 - 101049

Published: Nov. 1, 2023

Groundwater plays a pivotal role as global source of drinking water. To meet sustainable development goals, it is crucial to consistently monitor and manage groundwater quality. Despite its significance, there are currently no specific tools available for assessing trace/heavy metal contamination in groundwater. Addressing this gap, our research introduces an innovative approach: the Quality Index (GWQI) model, developed tested Savar sub-district Bangladesh. The GWQI model integrates ten water quality indicators, including six heavy metals, collected from 38 sampling sites study area. enhance precision assessment, employed established machine learning (ML) techniques, evaluating model's performance based on factors such uncertainty, sensitivity, reliability. A major advancement incorporation metals into framework index model. best authors knowledge, marks first initiative develop encompassing heavy/trace elements. Findings assessment revealed that area ranged 'good' 'fair,' indicating most indicators met standard limits set by Bangladesh government World Health Organization. In predicting scores, artificial neural networks (ANN) outperformed other ML models. Performance metrics, root mean square error (RMSE), (MSE), absolute (MAE) training (RMSE = 0.361; MSE 0.131; MAE 0.262), testing 0.001; 0.00; 0.001), prediction evaluation statistics (PBIAS 0.000), demonstrated superior effectiveness ANN. Moreover, exhibited high sensitivity (R2 1.0) low uncertainty (less than 2%) rating These results affirm reliability novel monitoring management, especially regarding metals.

Language: Английский

Citations

54
Groundwater fluoride and nitrate contamination and associated human health risk assessment in South Punjab, Pakistan DOI
Javed Iqbal, Chunli Su, Mengzhu Wang

et al.

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(22), P. 61606 - 61625

Published: Feb. 22, 2023

Language: Английский

Citations

42
Metabolic changes induced by heavy metal copper exposure in human ovarian granulosa cells DOI Creative Commons

Jiaru Lin,

Ling Wang, Mingquan Huang

et al.

Ecotoxicology and Environmental Safety, Journal Year: 2024, Volume and Issue: 285, P. 117078 - 117078

Published: Sept. 20, 2024

Language: Английский

Citations

26
Hydrogeochemical characteristics, stable isotopes, positive matrix factorization, source apportionment, and health risk of high fluoride groundwater in semiarid region DOI
Abdur Rashid, Muhammad Ayub, Xubo Gao

et al.

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 469, P. 134023 - 134023

Published: March 12, 2024

Language: Английский

Citations

22
Addressing current climate issues in Pakistan: An opportunity for a sustainable future DOI Creative Commons
Muhammad Adnan, Baohua Xiao,

Shaheen Bibi

et al.

Environmental Challenges, Journal Year: 2024, Volume and Issue: 15, P. 100887 - 100887

Published: March 5, 2024

Climate change is an inevitable phenomenon and no longer a myth. new rising problem in South Asia; Pakistan suffers from its disastrous effects. This review examines the risks effects of climate Asia, particularly Pakistan. It seeks to illuminate recent floods' environmental, social, economic implications, analyze causes region's heightened susceptibility, evaluate current measures policies mitigate these The assessment also identify research policy gaps, environmental funding Sustainable Development Goals (SDGs). results indicate that weather trends, including glacier melting, lake outburst floods (GLOFs), extraordinary monsoon rainfall, caused July September 2022. Pakistan's population more despite contributing less than 1% global greenhouse gas emissions. Rapid industrialization, fossil fuel use, plastic deforestation worsen situation. emphasizes benefits reservoir management dam development strengthening ecosystems reducing flood risks. stresses importance integrating into socio-economic political framework for sustainable outcomes. need comprehensive, coordinated agreements Asia. Governments can prevent build resilient future by prioritizing development, innovative adaptation methods, international collaboration. recommends increasing water-related research, improving risk mitigation strategies, using knowledge diverse domains develop combat change. alignment with SDGs indicates addressing injustice's fundamental improve strategies limiting temperature increases 1.5°C protect ecosystems, human health, stability, especially low middle-income countries where threats could impair SDGs.

Language: Английский

Citations

18
Prediction of Nitrate Concentration and the Impact of Land Use Types on Groundwater in the Nansi Lake Basin DOI
Javed Iqbal, Chunli Su, Hasnain Abbas

et al.

Journal of Hazardous Materials, Journal Year: 2025, Volume and Issue: 487, P. 137185 - 137185

Published: Jan. 14, 2025

Language: Английский

Citations

4
Geochemical control, water quality indexing, source distribution, and potential health risk of fluoride and arsenic in groundwater: Occurrence, sources apportionment, and positive matrix factorization model DOI
Abdur Rashid, Muhammad Ayub, Jochen Bundschuh

et al.

Journal of Hazardous Materials, Journal Year: 2023, Volume and Issue: 460, P. 132443 - 132443

Published: Aug. 30, 2023

Language: Английский

Citations

39
A Review of the Status, Effects, Prevention, and Remediation of Groundwater Contamination for Sustainable Environment DOI Open Access
Gokulan Ravindiran,

R. Sivarethinamohan,

S. Sujatha

et al.

Water, Journal Year: 2023, Volume and Issue: 15(20), P. 3662 - 3662

Published: Oct. 19, 2023

Most water systems that support ecosystems and feed humans are depleted or stressed. Aquifer characteristics, topography, subsurface activities, climate, geochemical processes regulate groundwater availability, a reliable source of fresh water. Globally, agriculture, industries, the domestic sector three major sectors consume vast quantities freshwater resources. Further anthropogenic such as soil leaching, acid rain, fertilizer, pesticides, mining, other industrial resulted in release organic inorganic pollutants affected global In India, is used huge quantities, resulting depletion 1 to 2 m year. Low-income countries face many issues related pollution, availability safe minimal. 2019, deaths due unsafe sanitation accounted for 2.2% total deaths, amounting 1.2 million people’s deaths. India recorded 6.6% 2019. China around 90.41% 60.4% utilization agricultural purposes, respectively. 2020, utilized nutrients (nitrate phosphate) crop growth enhance yield, highest nitrate phosphate concentrations groundwater. Remediating contaminants from different sources requires knowledge their concentration, behavior, cycling, degradation pathways. According safety guidelines, limiting optimizing pesticide waste disposal, empty container disposal can reduce contamination. The present study summarized various sectors, potential contamination impacts on human health environment, preventive measures, mitigation methods overcome pollution.

Language: Английский

Citations

24
Source-specific probabilistic health risk assessment of potentially toxic elements in groundwater of a copper mining and smelter area DOI
Jelena Vesković, Sandra Bulatović, Andrijana Miletić

et al.

Stochastic Environmental Research and Risk Assessment, Journal Year: 2024, Volume and Issue: 38(4), P. 1597 - 1612

Published: Jan. 9, 2024

Language: Английский

Citations

15
Viability of two adaptive fuzzy systems based on fuzzy c means and subtractive clustering methods for modeling Cadmium in groundwater resources DOI Creative Commons

Naghmeh Jafarzade,

Özgür Kişi, Mahmood Yousefi

et al.

Heliyon, Journal Year: 2023, Volume and Issue: 9(8), P. e18415 - e18415

Published: July 18, 2023

The Adaptive Neuro-Fuzzy Inference System (ANFIS) combines the strengths of both Artificial Neural Networks (ANNs) and Fuzzy Logic (FL) into a single framework. By doing so, it allows for quicker learning adaptable interpretation capabilities, which are useful modeling complex patterns identifying nonlinear relationships. One significant challenge in assessing water quality is difficulty time-consuming nature determining various factors that impact it. Given this situation, predicting heavy metal levels groundwater resources, urban rural, essential. This paper investigates two methods, ANFIS-FCM ANFIS-SUB, to determine their effectiveness Cadmium (Cd) resources. ‏The parameters be considered are: dissolved solids (TDS), electroconductivity (EC), turbidity (TU), pH were assumed independent variables. A total 51 sampling location used with resource develop fuzzy models. For evaluating performance ANFIS-SUB models, three different criteria including correlation coefficient, root mean square error, sum error comparing model outputs actual outputs‏.‏ Based on obtained results from scatter plots predicted value by ANFIS- FCM determination coefficient (R2) data, test train sets equal 0.978, 0.982, 0.993 0.983, 0.999 0.998 respectively. result proved Cd predictions implemented was significantly close measured all experimental data R2 0.983. compared found provided slightly higher accuracy than model. Also, comparison between indicated have strong potential estimating metals high degree accuracy.

Language: Английский

Citations

21