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

Highly selective copper recovery from industrial wastewater via electric field-enhanced ultrafiltration assisted with a picolyl-modified polyelectrolyte DOI

Liang Tian,

Lei Jin, Ming Chen

и другие.

Water Research, Год журнала: 2025, Номер 274, С. 123090 - 123090

Опубликована: Янв. 4, 2025

Язык: Английский

Процитировано

0
Spider Webs as Biomonitoring Tool for Heavy Metal Pollution in Diverse Environments: A Study in Kochi City DOI Open Access
M Mohan Joseph,

Archana T. Anil

Environmental Quality Management, Год журнала: 2025, Номер 34(4)

Опубликована: Март 20, 2025

ABSTRACT This study evaluates the use of webs from two species spiders, Cyrtophora cicatrosa and Pholcus phalangioides , as biomonitoring tools for heavy metal pollution across diverse environments in Kochi city, Kerala, India. Web samples Thevara, Eloor, Kizhakkambalam, representing urban, industrial, semi‐urban/agricultural areas, respectively, were analyzed Cr, Cu, Mn, Mo, Ni, Pb, Sn, Zn concentrations using ICP‐OES spectroscopy. Results showed site‐specific variation, with reaching its highest concentration Eloor (7558 ppm) Kizhakkambalam (4947.50 ppm). Relative distribution results revealed that Sn dominant metals accumulated most sites. The principal component analysis (PCA) highlight capture a broad range agricultural sources, while show specific affinities industrial urban pollutants, suggesting stronger sensitivity to urban‐industrial pollution. These findings demonstrate spider offer cost‐effective, species‐specific, non‐invasive approach environmental monitoring, enabling targeted assessment informing effective mitigation strategies settings.

Язык: Английский

Процитировано

0
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

Процитировано

0