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

et al.

Processes, Journal Year: 2024, Volume and Issue: 12(12), P. 2829 - 2829

Published: Dec. 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.

Language: 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

et al.

Water Research, Journal Year: 2025, Volume and Issue: 274, P. 123090 - 123090

Published: Jan. 4, 2025

Language: Английский

Citations

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, Journal Year: 2025, Volume and Issue: 34(4)

Published: March 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.

Language: Английский

Citations

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

et al.

Processes, Journal Year: 2024, Volume and Issue: 12(12), P. 2829 - 2829

Published: Dec. 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.

Language: Английский

Citations

0