Comprehensive Perspective on Contamination Identification, Source Apportionment, and Ecological Risk Assessment of Heavy Metals in Paddy Soils of a Tropical Island DOI Creative Commons
Yan Guo, Yi Yang, Yonghua Li

и другие.

Agronomy, Год журнала: 2024, Номер 14(8), С. 1777 - 1777

Опубликована: Авг. 13, 2024

The closed-loop material and energy cycles of islands increase the susceptibility their internal ecosystem components to heavy metal accumulation transfer. However, limited research on island scale hinders our understanding environmental geochemistry in this unique environment. This study focused assessing a tropical island’s ecological risk by investigating contamination potential sources. results revealed elevated cadmium nickel concentrations 0.44–1.31% soil samples, particularly coastal plains developed areas. Using absolute principal component score-multiple linear regression (APCS-MLR) model assisted GIS mapping, we identified three sources: geological factors, agricultural activities, traffic emissions. Network analysis indicated direct exposure risks vegetation microorganisms contaminated (0.4611 0.7687, respectively), with posing highest risk, followed Zn, Cd, Pb, Cu, Cr transferring across trophic levels. These findings provide crucial insights for mitigating associated metals controlling priority pollutants sources environments.

Язык: Английский

Distribution, Risk Assessment, and Quantitative Source Analysis of Soil Heavy Metals in a Typical Agricultural City of East-Central China DOI Creative Commons

Wenyue Du,

Peng Zeng, Yuruo Shi

и другие.

Land, Год журнала: 2025, Номер 14(1), С. 66 - 66

Опубликована: Янв. 1, 2025

The land use in agricultural areas contributes to economic growth while concurrently accompanied by a series of environmental pollution issues. Xingguo County, Ganzhou City, Jiangxi Province, is typical area with selenium-rich soil, and the rice navel oranges grown there have high nutritional value. This study analyzed distribution heavy metals soil this through kriging interpolation method, evaluated risks using different index methods, quantitatively their sources principal component analysis (PCA) positive matrix factorization (PMF), aim protecting ecological resources providing theoretical references for avoiding metal crops soil. research results indicate following: (1) Based on background values Ganzhou, all caused except As Hg, among which Cd poses highest potential risk area. According Environmental Quality Standards Soil (EQSS), concentrations not exceeded standards relatively low risks. (2) In terms health risks, basically do bring non-carcinogenic but acceptable carcinogenic adults children, Cd. children are higher than those adults, main exposure route ingestion. Among types, orchards highest. (3) Combining method PCA PMF models, it can be determined that two area: one natural other anthropogenic. anthropogenic sources, contribute most pollution. Through these results, found detection should conducted land, risk-based management measures implemented.

Язык: Английский

Процитировано

2

A comprehensive study of source apportionment, spatial distribution, and health risks assessment of heavy metal(loid)s in the surface soils of a semi-arid mining region in Matehuala, Mexico DOI
Arnab Saha, Bhaskar Sen Gupta, Sandhya Patidar

и другие.

Environmental Research, Год журнала: 2024, Номер 260, С. 119619 - 119619

Опубликована: Июль 14, 2024

Язык: Английский

Процитировано

16

Influencing mechanisms of microplastics existence on soil heavy metals accumulated by plants DOI
Xinyue Wu,

Lihong Lin,

Lin Zheng

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 926, С. 171878 - 171878

Опубликована: Март 26, 2024

Язык: Английский

Процитировано

14

Spatio‑temporal analysis and driving forces of urban ecosystem resilience based on land use: A case study in the Great Bay Area DOI Creative Commons
Zirui Meng,

Mengxuan He,

Xuemei Li

и другие.

Ecological Indicators, Год журнала: 2024, Номер 159, С. 111769 - 111769

Опубликована: Фев. 1, 2024

Ecosystem resilience plays a vital role for security and in the urban system which experiences combined effects of anthropogenic activities natural disasters. Nonetheless, there is currently no unified indicator assessing resilience. Therefore, this study aims to examine changes ecosystem Guangdong-Hong Kong-Macao Great Bay Area (GBA) based on land use, using framework resistance, adaption, elasticity. The study's results revealed that between 2000 2020, increase peripheral GBA cities outpaced decrease central cities, leading yearly rise overall Nighttime light (NL), population density (PD), urbanization rate (UR), normalized difference vegetation index (NDVI) were primary driving factors influencing resistance elasticity GBA, thereby shaping Findings from multi-scale geographical weighted regression (MGWR) analysis demonstrated decreased as NL, PD, UR increased, while it exhibited an areas with higher NDVI. This contributes improvement by providing targeted strategies, expediting development resilient offering theoretical insights management, planning, policy formulation.

Язык: Английский

Процитировано

13

Identifying interactive effects of spatial drivers in soil heavy metal pollutants using interpretable machine learning models DOI

Deyu Duan,

Peng Wang, Xin Rao

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 934, С. 173284 - 173284

Опубликована: Май 18, 2024

Язык: Английский

Процитировано

13

PET microplastics influenced microbial community and heavy metal speciation in heavy-metal contaminated soils DOI
Yajuan Tang, Yi Xing, Xin Wang

и другие.

Applied Soil Ecology, Год журнала: 2024, Номер 201, С. 105488 - 105488

Опубликована: Июнь 18, 2024

Язык: Английский

Процитировано

9

Co-occurrence of polycyclic aromatic hydrocarbons and heavy metals in various environmental matrices of a chronic petroleum polluted region in Iran; Pollution characterization, and assessment of ecological and human health risks DOI
Sara Hemati, Mohsen Heidari, Fariborz Momenbeik

и другие.

Journal of Hazardous Materials, Год журнала: 2024, Номер 478, С. 135504 - 135504

Опубликована: Авг. 15, 2024

Язык: Английский

Процитировано

6

Source Apportionment and Risk Assessment of Heavy Metals in Agricultural Soils in a Typical Mining and Smelting Industrial Area DOI Open Access
Wei Li, Xudong Cao, Yuanan Hu

и другие.

Sustainability, Год журнала: 2024, Номер 16(4), С. 1673 - 1673

Опубликована: Фев. 18, 2024

Source apportionment and risk assessment are critical for making effective pollution prevention control policies. The study was carried out to assess source-specific ecological human health risks associated with heavy metals in farmland soils Yingtan City based on results of receptor models. Multivariate analysis the APCS-MLR model consistently revealed that As, Ni, Cr agricultural may be mainly derived from natural sources, while contents Cu, Zn, Cd, Pb have been significantly elevated by activities. According outputs model, Cu (34.3%), Zn (67.2%), (75.1%), Cd (67.9%) primarily originated industrial activities related mineral mining non-ferrous metal smelting processes. indicated sources were primary contributor total risks, posing moderate high southern mountainous regions. Natural origins played a significant role due substantial amounts As naturally occurring soils. findings could guide development management measures

Язык: Английский

Процитировано

5

Distribution, source apportionment, and ecological risk assessment of soil antibiotic resistance genes in urban green spaces DOI
Zirui Meng, Xunqiang Mo, Xue Qing

и другие.

Environmental Research, Год журнала: 2024, Номер 251, С. 118601 - 118601

Опубликована: Март 4, 2024

Язык: Английский

Процитировано

5

Source identification and driving factor apportionment for soil potentially toxic elements via combining APCS-MLR, UNMIX, PMF and GDM DOI Creative Commons
Cang Gong, Xiang Xia,

Mingguo Lan

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Май 13, 2024

Abstract The contamination and quantification of soil potentially toxic elements (PTEs) sources the determination driving factors are premise control. In our study, 788 samples from National Agricultural Park in Chengdu, Sichuan Province were used to evaluate degree PTEs by pollution load index. source identification was performed using positive matrix decomposition (PMF), edge analysis (UNMIX) absolute principal component score-multiple line regression (APCS-MLR). geo-detector method (GDM) drivers help interpret derived receptor models. Result shows that Cu, Pb, Zn, Cr, Ni, Cd, As Hg average content 35.2, 32.3, 108.9, 91.9, 37.1, 0.22, 9.76 0.15 mg/kg this study area. Except for As, all higher than corresponding background values Province. best performance APCS-MLR determined comparison, considered as preferred model distribution ACPS-MLR results showed 82.70% 61.6% 75.3% 91.9% Cr 89.4% Ni came traffic-industrial emission sources, 60.9% domestic-transportation 57.7% Cd agricultural 89.5% natural sources. GDM distance first grade highway, population, land utilization total potassium (TK) main affecting these four with q 0.064, 0.048, 0.069 0.058, respectively. can provide reference reducing farmland soil.

Язык: Английский

Процитировано

5