Heavy metal(loid)s pollution in soils of a typical agricultural and rural area: Source apportionment and derived risk quantification DOI

Dongyang Men,

Xuan Li,

Xiaozhe Zhu

и другие.

Environmental Monitoring and Assessment, Год журнала: 2024, Номер 196(12)

Опубликована: Ноя. 20, 2024

Язык: 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

и другие.

Environmental Geochemistry and Health, Год журнала: 2025, Номер 47(3)

Опубликована: Фев. 8, 2025

Язык: Английский

Процитировано

3

Preparation of technosol based on coal gangue and its impact on plant growth in coal mining area DOI
Xianghong Liu, Jin Zhang, Qiang Li

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер 467, С. 142998 - 142998

Опубликована: Июнь 24, 2024

Язык: Английский

Процитировано

13

A meta-analysis and experimental survey of heavy metals pollution in agricultural soils DOI Creative Commons
Samuel Che Nde,

Obono Mba Félicité,

Gabriel S. Aruwajoye

и другие.

Journal of Trace Elements and Minerals, Год журнала: 2024, Номер 9, С. 100180 - 100180

Опубликована: Июнь 18, 2024

Heavy metal (HM) pollution in agricultural soils represents a hidden danger to food security worldwide. In this paper, the spatio-temporal trends of heavy metals from eight countries and 50 soil samples farmland were evaluated through combination field surveys meta-analysis provide comprehensive report on pollution. The analysed using inductively coupled plasma–mass spectrometry (ICP-MS) (Perkin Elmer Nixon 300Q). contamination factor (CF) load index (PLI) calculated. results CF indicate extreme for Cr, suggesting ecotoxicological effects, while PLI values range baseline moderate Cd, Hg, Cu, Zn, Ni, except which shows very high pollution, that oils have undergone some form deterioration. reviewed articles published between 2010 2023 showed increasing all HMs. weighted mean As, Ni 0.0-222.7, 0.08-289.2, 0.03-193, 2.94-198.1, 0.0-771.1, 0.0-231, 1.71-99.75.6 mg/kg, respectively. Zn As exceeded two three times China National Environmental Monitoring Centre (CNEMC) European Union's most cited guideline (MEF), rock crust guideline. correlation matrix heatmap revealed highly positive Cr (R2 = 0.66), these elements same source are likely prevalent soils. spatial origin publications reveals 82% studies followed by South Africa Italy accounting 4% respectively Nigeria, Egypt, Morocco, Iran, Turkey account 2% each. findings study important implications environmental regulation protection Unlike previous often adopt "silos" method, highlights nexus approach integrates both experimental could establish more understanding

Язык: Английский

Процитировано

12

Source-oriented comprehensive assessment framework for identifying priority heavy metals in agricultural soils DOI
Furong Yu,

Yuekun Ji,

Lin Wu

и другие.

Journal of environmental chemical engineering, Год журнала: 2025, Номер unknown, С. 115579 - 115579

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

2

Assessment of pollution and health risks from exposure to heavy metals in soil, wheat grains, drinking water, and atmospheric particulate matter DOI

Fanlei Meng,

Dexin Liu,

Tengxiao Bu

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 376, С. 124448 - 124448

Опубликована: Фев. 8, 2025

Язык: Английский

Процитировано

2

Socioeconomic and environmental determinants of asthma prevalence: a cross-sectional study at the U.S. County level using geographically weighted random forests DOI Creative Commons
Aynaz Lotfata, Mohammad Moosazadeh, Marco Helbich

и другие.

International Journal of Health Geographics, Год журнала: 2023, Номер 22(1)

Опубликована: Авг. 10, 2023

Abstract Background Some studies have established associations between the prevalence of new-onset asthma and exacerbation socioeconomic environmental determinants. However, research remains limited concerning shape these associations, importance risk factors, how factors vary geographically. Objective We aimed (1) to examine ecological multiple socio-physical determinants in United States; (2) assess geographic variations their relative importance. Methods Our study design is cross sectional based on county-level data for 2020 across States. obtained self-reported adults aged 18 years or older each county. applied conventional geographically weighted random forest (GWRF) investigate (e.g., poverty) air pollution green space). To enhance interpretability GWRF, we assessed through partial dependence plots, ranked according global scores, (3) mapped local variable spatially. Results Of 3059 counties, average was 9.9 (standard deviation ± 0.99). The GWRF outperformed forest. found an indication, example, that temperature inversely associated with prevalence, while poverty showed positive associations. plots had a non-linear shape. Ranking smoking depression were most relevant, space language minor relevance. measures striking geographical differences. Conclusion findings strengthen evidence environments play role explaining but relevance seems results are vital implementing future prevention programs should be tailor-made specific areas.

Язык: Английский

Процитировано

21

Pollution area identification, receptor model-oriented sources and probabilistic health hazards to prioritize control measures for heavy metal management in soil DOI
Ram Proshad, S Asha, Md. Anwarul Abedin

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 369, С. 122322 - 122322

Опубликована: Авг. 31, 2024

Язык: Английский

Процитировано

9

Human health risks of heavy metal(loid)s mediated through crop ingestion in a coal mining area in Eastern China DOI Creative Commons
Menglu Zhao, Huijuan Wang, Jiaxun Sun

и другие.

Ecotoxicology and Environmental Safety, Год журнала: 2024, Номер 276, С. 116305 - 116305

Опубликована: Апрель 9, 2024

The heavy metal(loid)s (HMs) in soils can be accumulated by crops grown, which is accompanied crop ingestion into the human body and then causes harm to health. Hence, health risks posed HMs three for different populations were assessed using Health risk assessment (HRA) model coupled with Monte Carlo simulation. Results revealed that Zn had highest concentration among crops; while Ni was main polluting element maize soybean, As rice. Non-carcinogenic all through rice at an "unacceptable" level, teenagers suffered higher than adults children. All of might suffer Carcinogenic risk, similar order Total carcinogenic (TCR): TCRAdults > TCRTeenagers TCRChildren. identified as priority control this study area due their high contribution rates risks. According HRA results, associated varieties, HM species, age groups. Our findings suggest only limiting Maximum allowable intake rate not sufficient prevent caused HMs, thus more precautions are needed.

Язык: Английский

Процитировано

7

Soil pollution and elemental sources along Barapukuria coal mine, Bangladesh: Implications for eco-environmental and health risk assessment DOI Creative Commons
Israt Jahan,

A.H.M. Selim Reza,

Md. Masidul Haque

и другие.

Heliyon, Год журнала: 2024, Номер 10(12), С. e32620 - e32620

Опубликована: Июнь 1, 2024

For the first time, different pollution indices and a receptor model have been used to quantify eco-environmental health risk assessments as well identify sources of potentially toxic elements in soil along Barapukuria Coal Mine (BCM). Individual include enrichment contamination factors showing samples are moderately highly contaminated by arsenic, cobalt, chromium, copper, lead, zinc heavily sulfur. According geo-accumulation index, there is significant with arsenic (1.24 ± 0.38), lead (1.49 0.58), cobalt sulfur (1.63 0.38). Modified hazard quotient ecological factor values also suggest low moderate environmental hazards from same elements. The nemerow load index range 1.65 3.03, 0.82-1.23, 11-26, 77-165, 6.82-11.76 pollution, among other synergistic indices. Health assessment indicates that iron poses lower cancer for children than adults, while both face unacceptable risks inhaling or arsenic. Principal component phylogenetic cluster analysis extracted multiple linear regression absolute principal score (APCS-MLR) refer fact manganese, iron, titanium, nickel originated geogenic sources, coal mine effluents enrich like zinc, uranium, sulfur, thorium, phosphorous sourced agriculture. In addition, anthropogenic including agriculture activities, could pollute ecosystem. findings crucial regional national planners devising strategies mitigate element areas.

Язык: Английский

Процитировано

7

Particle Size-Dependent Monthly Variation of Pollution Load, Ecological Risk, and Sources of Heavy Metals in Road Dust in Beijing, China DOI Creative Commons
Cong Men,

Donghui Li,

Yunqi Jing

и другие.

Toxics, Год журнала: 2025, Номер 13(1), С. 40 - 40

Опубликована: Янв. 7, 2025

Road dust carries various contaminants and causes urban non-point source pollution in waterbodies through runoff. samples were collected each month two years then sieved into five particle size fractions. The concentrations of ten heavy metals (As, Cd, Cr, Cu, Hg, Mn, Ni, Pb, Zn, Fe) fraction measured. load index, coefficient divergence, Nemerow integrated risk index used to analyze the temporal variation ecological different advanced three-way model wavelet analysis quantitative identification time-series sources. Results showed that both most a decreasing trend from finest (P1) coarsest (P5). frequency P1 posing extreme was about times P5. Main types metal sources similar among fractions, whereas impact intensity these varied Traffic exhaust tended accumulate finer particles, its contribution Cu P5 only 35-55% other Construction contributed more coarser Pb increased 45.34% 65.35% Wavelet indicated traffic periodicities 5-8 10-13 months. Fuel combustion displayed strongest periodicity 12-15 months, peaking winter.

Язык: Английский

Процитировано

1