Evaluation of Heavy Metal Contamination in Black Soil at Sanjiang Plain: From Source Analysis to Health Risk Assessment DOI Open Access
Zijie Gao, Jie Jiang, Guo‐Xin Sun

и другие.

Processes, Год журнала: 2024, Номер 12(12), С. 2829 - 2829

Опубликована: Дек. 10, 2024

Heavy metals were discharged into the agricultural soil through coal mining, transportation, etc., posing a threat to human health food chain. In order investigate sources of heavy and potential risk population, we collected 298 surface samples in black area Sanjiang Plain Heilongjiang province tested concentrations seven metals. Toxic element contamination was evaluated by combining ecological index environmental capacity, pollution are identified positive matrix factorization. The results indicate that Cd As exceed background values 1.74 1.51 times, respectively, is significantly higher than those other toxic elements. comprehensive level moderate at 78.5% low 21.5%. metal elements include pesticide spraying (36.5%), input fertilizer transport activities (20.5%), mining metallurgy-related (43.1%). When linking PMF Human Health Risk Assessment model, it found about 56% pose carcinogenic children. Knowledge can certainly help understand risks people provide scientific basis for prevention pollution.

Язык: Английский

Heavy Metal Pollution and Source Analysis of Soils Around Abandoned Pb/Zn Smelting Sites: Environmental Risks and Fractionation Analysis DOI Creative Commons
Muhammad Adnan, Peng Zhao, Baohua Xiao

и другие.

Environmental Technology & Innovation, Год журнала: 2025, Номер unknown, С. 104084 - 104084

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

3

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

Source-oriented health risk assessment and priority control factor analysis of heavy metals in urban soil of Shanghai DOI
Cheng Shen,

Shenfa Huang,

Min Wang

и другие.

Journal of Hazardous Materials, Год журнала: 2024, Номер 480, С. 135859 - 135859

Опубликована: Сен. 16, 2024

Язык: Английский

Процитировано

6

Identification of the pollution sources and hidden clustering patterns for potentially toxic elements in typical peri-urban agricultural soils in southern China DOI Creative Commons
Haofan Xu, Peng Hu, Hailong Wang

и другие.

Environmental Pollution, Год журнала: 2025, Номер unknown, С. 125904 - 125904

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Cadmium Adsorption and Photocatalytic Reusability of Modified Oil-Based Drilling Cuttings Ash DOI
Qi Feng,

Guanli Zeng,

Xiaopei Du

и другие.

Water Air & Soil Pollution, Год журнала: 2025, Номер 236(4)

Опубликована: Март 17, 2025

Язык: Английский

Процитировано

0

Unveiling priority control toxic metal in cover soil of anti-seepage tailings ponds: Insights from multi-media and probabilistic risk model DOI
Chenchen Li, Jinpei Yan, Jun Yao

и другие.

Process Safety and Environmental Protection, Год журнала: 2025, Номер unknown, С. 107034 - 107034

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Soil Heavy Metal Accumulation and Ecological Risk in Mount Wuyi: Impacts of Vegetation Types and Pollution Sources DOI Creative Commons

Feng Wu,

Zhu Dong-hai,

Tao Yang

и другие.

Land, Год журнала: 2025, Номер 14(4), С. 712 - 712

Опубликована: Март 26, 2025

Soil heavy metal (HM) contamination has become a critical global environmental issue, predominantly caused by industrial and agricultural operations. This study focuses on Mount Wuyi, UNESCO biodiversity hotspot major tea production base, to examine vegetation-mediated soil HM accumulation under anthropogenic impacts. We analyzed nine HMs (Mn, Cu, Zn, Cd, Hg, As, Pb, Cr, Ni) across diverse vegetation types using geochemical indices Positive Matrix Factorization (PMF) modeling. The findings revealed Mn Zn were dominant elements, Cr Pb concentrations exceeded regional background values 3.47 1.26 times, respectively. demonstrated significant pollution levels, while Cd Hg posed the highest ecological risks. Vegetation type significantly influenced distribution patterns, with cultivated areas shrublands (including gardens) accumulating higher of from transportation sources. Notably, bamboo forests exhibited natural resistance contamination. PMF analysis identified four primary sources: urbanization (27.94%), transport–agriculture activities (21.40%), practices (12.98%), atmospheric deposition (12.96%). These results underscore need for implementing clean energy solutions, phytoremediation strategies, tea-specific detoxification measures maintain security sustainability in this ecologically region.

Язык: Английский

Процитировано

0

Cadmium isotopic evidence for the redistribution and fate of cadmium during carbonate weathering DOI
Yizhang Liu, Jing Jing, Yongxiang Zhang

и другие.

Global and Planetary Change, Год журнала: 2025, Номер unknown, С. 104820 - 104820

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

A combined model method was used to identify the main influencing factors of soil heavy metal pollution sources in Qian river, China DOI Creative Commons
Yuru Li, Zihua Wang,

Leiyu Liu

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Апрель 23, 2025

The issue of soil heavy metal contamination has garnered significant global attention, with the identification sources and their driving factors being crucial for prevention management pollution. This study introduces a comprehensive source-driver model integrating Positive Matrix Factorization (PMF) model, Geographically Weighted Regression (GWR), Geo-detector Model (GDM). Inductively Coupled Plasma Mass Spectrometry (ICP-MS) was employed to quantify concentrations eight metals in soils lower reaches Qian River. findings revealed that: (1) average 8 did not exceed risk screening thresholds environmental quality. Specifically, mean Ni, Zn, As, Cd were 42.16, 102.07, 18.23, 0.32 mg kg-1, respectively, which are 1.46, 1.47, 3.7, 6.17 times higher than background values Shaanxi Province, exhibiting coefficient variation 0.58. high degree is attributed anthropogenic activities. Spatially, each more heavily concentrated southeastern northwestern regions area. (2) results PMF showed that area mainly came from nature, industry, agriculture, traffic, contribution source 19.12%, 23.42%, 36.85% 20.61%. Notably, agricultural emerged as predominant contributors pollution region. (3) GDM GWR distance village, type elevation main drivers provides reference analysis sources, can provide theoretical basis control

Язык: Английский

Процитировано

0

Evaluation of machine learning models for accurate prediction of heavy metals in coal mining region soils in Bangladesh DOI
Ram Proshad,

Krishno Chandra,

Maksudul Islam

и другие.

Environmental Geochemistry and Health, Год журнала: 2025, Номер 47(5)

Опубликована: Апрель 23, 2025

Язык: Английский

Процитировано

0