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

Combined apatite, biochar, and organic fertilizer application for heavy metal co-contaminated soil remediation reduces heavy metal transport and alters soil microbial community structure DOI

Yi Hong,

Dong Li, Can Xie

и другие.

The Science of The Total Environment, Год журнала: 2022, Номер 851, С. 158033 - 158033

Опубликована: Авг. 13, 2022

Язык: Английский

Процитировано

80

Source-oriented probabilistic health risk assessment of soil potentially toxic elements in a typical mining city DOI

Bei Yuan,

Hanlin Cao,

Ping Du

и другие.

Journal of Hazardous Materials, Год журнала: 2022, Номер 443, С. 130222 - 130222

Опубликована: Окт. 21, 2022

Язык: Английский

Процитировано

78

Pollution simulation and remediation strategy of a zinc smelting site based on multi-source information DOI

Jiaqing Zeng,

Chuxuan Li, Jinting Wang

и другие.

Journal of Hazardous Materials, Год журнала: 2022, Номер 433, С. 128774 - 128774

Опубликована: Март 25, 2022

Язык: Английский

Процитировано

77

Source-specific probabilistic contamination risk and health risk assessment of soil heavy metals in a typical ancient mining area DOI
Hao Zhou,

Xue‐Mei Yue,

Yong Chen

и другие.

The Science of The Total Environment, Год журнала: 2023, Номер 906, С. 167772 - 167772

Опубликована: Окт. 14, 2023

Язык: Английский

Процитировано

60

Recent advances in phyto-combined remediation of heavy metal pollution in soil DOI

Shaoxiong Deng,

Xuan Zhang, Yonghua Zhu

и другие.

Biotechnology Advances, Год журнала: 2024, Номер 72, С. 108337 - 108337

Опубликована: Март 7, 2024

Язык: Английский

Процитировано

60

Catalyzing net-zero carbon strategies: Enhancing CO2 flux Prediction from underground coal fires using optimized machine learning models DOI

Hemeng Zhang,

Pengcheng Wang,

Mohammad Rahimi

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер 441, С. 141043 - 141043

Опубликована: Янв. 31, 2024

Язык: Английский

Процитировано

24

Human health-risk assessment of heavy metal–contaminated soil based on Monte Carlo simulation DOI Creative Commons
Ye Panqing,

Abdugheni Abliz,

Xiaoli Sun

и другие.

Scientific Reports, Год журнала: 2023, Номер 13(1)

Опубликована: Апрель 29, 2023

Abstract Soil contamination soils of by heavy metals (HMs) poses serious threats to the soil environment and enters human body through exposure pathways such as ingestion skin contact, posing a threat health. The purpose this study was analyze sources contributions HMs, quantitatively assess health risks HMs different populations (i.e. children, adult females males), caused various sensitive populations. 170 topsoil (0–20 cm) were collected from Fukang, Jimsar Qitai on northern slope Tianshan Mountains in Xinjiang, China, contents Zn, Cu, Cr, Pb Hg determined. This used Unmix model health-risk assessment (HRA) five HMs. results showed that: (1) mean values Zn Cr lower than background Cu slightly higher Xinjiang but national standard, value standard. (2) region mainly traffic, natural, coal, industrial sources. Moreover, HRA combined with Monte Carlo simulation similar trends status all population groups region. Probabilistic revealed that noncarcinogenic acceptable for (HI < 1) while carcinogenic high (children: 77.52%; female: 69.09%; male: 65.63%). For risk coal exceeded threshold 2.35 1.20 times, respectively, main element contributing risk. These findings suggest coal-based emissions cannot be ignored, area should aim control provide support prevention pollution across age groups.

Язык: Английский

Процитировано

39

Characteristics and pollution risks of Cu, Ni, Cd, Pb, Hg and As in farmland soil near coal mines DOI Creative Commons

Bijun Cheng,

Ziyue Wang,

Xiaoqing Yan

и другие.

Soil & Environmental Health, Год журнала: 2023, Номер 1(3), С. 100035 - 100035

Опубликована: Авг. 2, 2023

Heavy metal(loid) pollution poses a serious threat to the health and habitability of ecosystems worldwide. This study aims investigate concentration, degree, sources, risks heavy metal(loid)s (HMs) in soil Shanxi Province, China. The concentrations Cu, Ni, Cd, Pb, Hg As were measured by ICP-MS 146 samples collected from agricultural land. degree ecological HMs analyzed variety indexes, human assessed using USEPA model. Results showed average 1.08, 1.15, 1.44, 1.50 1.25 times higher than background values investigated areas soil, respectively. contamination factors revealed moderate Hg, As, Cd Cu areas, load index indicated considerable contamination. Nemerow low severe with compound HMs. potential risk indicates that pose ecology. Coal mining was primary sources identified ACPS-MLR. Soil (75.11%) Ni (62.33%) mainly derived coal mining, Pb (73.13%) traffic emissions. (38.60%) originated combustion. associated these due exposure found be within acceptable levels for adults. concentration imposes strongest effect on non-carcinogenic analysis different exposed populations. In conclusion, moderately threatens ecology, but there no significant study. Furthermore, this reveals which is helpful managing contaminated region.

Язык: Английский

Процитировано

34

Quantifying ecological and human health risks of metal(loid)s pollution from non-ferrous metal mining and smelting activities in Southwest China DOI
Hao Li, Jun Yao, Geoffrey I. Sunahara

и другие.

The Science of The Total Environment, Год журнала: 2023, Номер 873, С. 162364 - 162364

Опубликована: Фев. 22, 2023

Язык: Английский

Процитировано

33

A comprehensive method of source apportionment and ecological risk assessment of soil heavy metals: A case study in Qingyuan city, China DOI
Rongfei Wei, Zirui Meng, Teklit Zerizghi

и другие.

The Science of The Total Environment, Год журнала: 2023, Номер 882, С. 163555 - 163555

Опубликована: Апрель 19, 2023

Язык: Английский

Процитировано

33