The Ecological Risks of Heavy Metals in the Estuarine Wetland Ecosystem and Their Impacts on Human Health: A Case from Yellow River Delta National Nature Reserve, China

Land, Journal Year: 2025, Volume and Issue: 14(4), P. 845 - 845

Published: April 12, 2025

Nature reserves are integral to sustaining ecological balance, functioning like a precise regulator, where various species depend on and constrain one another collectively form stable ecosystem. Nevertheless, in the wake of economic development, pollutants heavy metal contamination have insidiously emerged, imperceptibly influencing all these processes. To understand risk metals an estuarine nature reserve, this study focused Yellow River Delta Reserve (YRDNNR) analyzed distribution, potential environmental risks, possible sources (Mn, Cu, Zn, Cr, As, Cd, Pb) surface sediments region. The results indicated that YRDNNR was rich As with Cd presenting most substantial risk. Further analysis suggested high levels could be ascribed agricultural activities. This also found practices made significant contribution carcinogenic pose certain risks natural environment human health. More in-depth monitoring testing should carried out, measures adopted accordance their development. Moreover, systematic regulation fertilizer pesticide use, along enhancements farmers’ awareness, is great significance alleviating pollution hazards. findings carry implications for conservation coastal wetlands, serving as critical alert proliferation other areas delta.

Language: Английский

Analysis of Heavy Metal Sources in Xutuan Mining Area Based on APCS-MLR and PMF Model

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(8), P. 4249 - 4249

Published: April 11, 2025

The present study aims to determine the concentrations and forms of Copper (Cu), Lead (Pb), Zinc (Zn), Chromium (Cr), Cadmium (Cd), Arsenic (As) in water sediments Xutuan mining area. geoaccumulation index (Igeo) ecological risk assessment coding (RAC) methods were used assess heavy metal pollution levels risks sediments. positive matrix factorization (PMF) model absolute principal component score-multiple linear regression (APCS-MLR) quantitatively analyze sources metals evaluated results showed good quality Cu, Cr, Zn, As mainly residual form, while Cd Pb organic matter combined form. Igeo RAC that degree higher APCS-MLR PMF models analyzed contributions natural (72.5% 25.1%) anthropogenic sources, respectively, further distinguished coal (26.4%), agricultural (21.44%), traffic (27.05%) sources.

Language: Английский

Spatial Distribution, Source Identification, and Risk Assessment of Heavy Metals in Sediments of the Yellow River Basin, China

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(9), P. 5188 - 5188

Published: May 7, 2025

Heavy metals (HMs), characterized by their non-biodegradable nature, are prone to enrichment in river sediments, thereby severely jeopardizing the equilibrium of ecosystems and human health. Given critical importance safeguarding valuable water resources, it is utmost urgency initiate research on HMs within Yellow River Basin (YRB). This study collected sediment samples from analyzed distribution characteristics, health risks, pollution sources utilizing index method, risk assessment, positive matrix factorization (PMF) model. The results demonstrate that arsenic (As), zinc (Zn), cadmium (Cd) primary elements contributing heavy metal (HM) sediments YRB. proportions with low HM upstream, midstream, downstream 36.48%, 71.43%, 72.73%, respectively, whereas moderate 63.16%, 28.57%, 27.27%, respectively. assessment reveals non-carcinogenic risks posed adults negligible, those children not. Regarding carcinogenic As significantly higher than other HMs. identified as traffic–industrial sources, agricultural–industrial industrial respective contribution rates 32.47%, 44.87%, 22.66%. Zn prioritized for control, while highlighted priority control.

Language: Английский