Sources, Contamination and Risk Assessment of Heavy Metals in Riparian Soils of the Weihe River Based on a Receptor Model and Monte Carlo Simulation DOI Open Access

Wen Dong,

Bohan Niu,

Huaien Li

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(23), P. 10779 - 10779

Published: Dec. 9, 2024

The riparian ecosystem is highly susceptible to pollution, particularly heavy metals (HMs), due its unique spatial position and landscape characteristics. Therefore, assessing the risks of HM pollution identifying potential sources are crucial for formulating effective prevention control measures. This study investigates characteristics HMs (Ni, Cr, Zn, Cd, Cu, Pb) in Weihe River zone, identifies their sources, assesses associated ecological human health risks. results indicate that Ni, Cd primary pollutants soil, with average concentration being 5.64 times higher than background value, indicating a high risk. Spatially, concentrations middle upper reaches lower reaches. Vertically, as distance from increases, content exhibits “U”-shaped pattern (increase-decrease-increase). Absolute principal components multiple regression (APCS-MLR) receptor model identified four sources: traffic sources; agricultural industrial natural sources. Additionally, Monte Carlo simulation-based risk assessment indicates non-carcinogenic indices all within acceptable ranges. For carcinogenic indices, there 1.14% probability children. However, vast majority fall or no-risk categories.

Language: Английский

Heavy metal enrichment characteristics and synergistic evaluation in soil-crop-human systems of agricultural land with different soil parent materials DOI
Jialiang Li,

Jierui Dai,

Liyuan Yang

et al.

Environmental Geochemistry and Health, Journal Year: 2025, Volume and Issue: 47(3)

Published: Feb. 8, 2025

Language: Английский

Citations

2
Aluminum (III) Ions Removal From Drinking Water Samples by Flower Like ZnO Nanoparticles with Solid Phase Extraction DOI Creative Commons
S. Çalışkan, Elvan Hasanoğlu Özkan, Nurdan Kurnaz Yetim

et al.

Water Air & Soil Pollution, Journal Year: 2025, Volume and Issue: 236(4)

Published: March 13, 2025

Language: Английский

Citations

0
Assessment of the sources and health risks of heavy metals in the soil-rice system based on positive matrix factorization and Monte Carlo simulation DOI Creative Commons
L. Tong, Anli Yang, Mingyue Fan

et al.

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: April 9, 2025

In recent years, the harmful effects of heavy metal pollution in soil and rice on public health have garnered widespread attention. However, most studies focus only evaluation either or rice, often overlooking fact combined pollution. We conducted an integrated assessment levels both rice. This study examined eight common metals (Cd, Ni, As, Cu, Hg, Pb, Cr, Zn) within soil-rice system Wanzhou District, Chongqing City. employed Positive Matrix Factorization Monte Carlo simulation to identify sources assess associated risks. The findings revealed average Impact Index Comprehensive Quality (IICQ) value 3.60 for system, indicating a level exceeding “slight pollution”. primary contributors contamination were identified as smelting processing, pesticide fertilizer use, manure application, geological background rock weathering, agricultural activities, coal combustion. Among assessed metals, Cd, Ni posed greatest risks should be prioritized monitoring control. Given heightened with prolonged consumption contaminated by addressing is urgent necessity.

Language: Английский

Citations

0
Potential cancer risks of metals/metalloids and radionuclides through the intake of food crops grown around the mining area DOI Creative Commons
Hamza Badamasi, Umar Faruk Hassan, Harami Malgwi Adamu

et al.

Journal of Trace Elements and Minerals, Journal Year: 2024, Volume and Issue: 9, P. 100181 - 100181

Published: June 20, 2024

Food crop consumption is one of the primary routes through which environment polluted with radionuclides, metals, and metalloids. In recent years, negative impacts metalloids, radionuclides on quality via food-human system have jeopardized both human health food security. Because some are persistent non-biodegradable, they build up in body's essential organs, causing a variety serious issues, including cancer. It therefore absolutely to evaluate potential cancer risks as well metals metalloids crops consumed study area avoid consequences. The aim this was assess (As, Cd, Cr, Pb) Radionuclides (U-238, Th-232, K-40) cultivated around Riruwai mining area, northeastern Nigeria. Thirty-three (33) (15 vegetables 18 cereal crops) were collected directly from farmlands area. concentrations metalloid each assessed using microwave-plasma atomic emission spectrometry (MP-AES) high-purity germanium (HPGe) gamma-ray spectrometer, respectively. measured used calculate their lifetime (LTCRs). findings revealed that As, Pb all investigated above threshold limits, while lower activity below world average standard observed U-238, K-40. LTCRs individual metal radionuclide determined be global indicating no likelihood risk consuming crops. However, it discovered total cumulative combined 2.51E-04, over twofold acceptable limit 1.00E-04 metal, metalloid, found consumption. exceed level, requires proper monitoring government intervention. Cancer influenced by factors beyond consumption, such alcohol heredity, air pollution, so multidimensional studies needed before making final decision

Language: Английский

Citations

3
Correlation study of radon concentration, physiochemical parameters and heavy metals in groundwater from Lagos State University Housing Estates, Nigeria DOI Open Access

Emmanuel Abiodun Oni,

Fayemi O.B.,

Oladapo O.O.

et al.

Nigerian Journal of Pure and Applied Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 5180 - 5187

Published: May 4, 2025

The most vital component of the environment is water and its quality cannot be overemphasized. This study represents assessment radon concentration, physicochemical parameters heavy metals in groundwater Lagos State University Housing Estates (LASU). data samples were collected from three housing estates. Water at for measurement, metal analysis. Dissolved Radon 222Rn a sampled was measured using fast electronic detector RAD 7. In addition, other physiochemical properties analysis both carried out following standard laboratory procedures. findings revealed that there significant difference (p ≤ 0.05) between concentration locations which ranges 0.20 ± 0.12 0.41 Bql-1. On hand, has weak negative relationship with p H, Conductivity, TDS, Temperature, Manganese, Chromium Chromate, while it positive Turbidity borehole Ojo residential community. Similarly, strong correlation but no Iba obtained Badagry conductivity, turbidity, chromium chromate pH moderate Manganese. It therefore safe to say, areas domestics’ purposes.

Language: Английский

Citations

0
Source-specific probabilistic health risk judgement of soil heavy metals in a typical resource-based town in North China DOI Creative Commons
Yuqi Zhang, Bing Jiang, Zongjun Gao

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 169, P. 112854 - 112854

Published: Nov. 18, 2024

Language: Английский

Citations

0
Sources, Contamination and Risk Assessment of Heavy Metals in Riparian Soils of the Weihe River Based on a Receptor Model and Monte Carlo Simulation DOI Open Access

Wen Dong,

Bohan Niu,

Huaien Li

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(23), P. 10779 - 10779

Published: Dec. 9, 2024

The riparian ecosystem is highly susceptible to pollution, particularly heavy metals (HMs), due its unique spatial position and landscape characteristics. Therefore, assessing the risks of HM pollution identifying potential sources are crucial for formulating effective prevention control measures. This study investigates characteristics HMs (Ni, Cr, Zn, Cd, Cu, Pb) in Weihe River zone, identifies their sources, assesses associated ecological human health risks. results indicate that Ni, Cd primary pollutants soil, with average concentration being 5.64 times higher than background value, indicating a high risk. Spatially, concentrations middle upper reaches lower reaches. Vertically, as distance from increases, content exhibits “U”-shaped pattern (increase-decrease-increase). Absolute principal components multiple regression (APCS-MLR) receptor model identified four sources: traffic sources; agricultural industrial natural sources. Additionally, Monte Carlo simulation-based risk assessment indicates non-carcinogenic indices all within acceptable ranges. For carcinogenic indices, there 1.14% probability children. However, vast majority fall or no-risk categories.

Language: Английский

Citations

0