Dynamic evolution and network structure characteristics of the wellbeing eco-efficiency of cities in the Yellow River Basin, China

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: April 22, 2025

The wellbeing eco-efficiency (WEE) is a core indicator for assessing the quality of regional ecological environment and people’s livelihood. Clarifying its spatial temporal dynamic evolution network structure characteristics crucial promoting protection high-quality development in entire Yellow River Basin (YRB). Based on panel data 99 cities YRB from 2010 to 2022, WEE measured by introducing into evaluation system eco-efficiency. spatial-temporal dynamics, disparities, their origins, as well structural attributes network, are investigated. results showed that: First, YRB, upper, middle, lower reaches have been improved, showing stage “steady growth-fluctuation decline-rapid growth,” technological progress main driving force efficiency growth. Second, absolute difference whole middle shows an expanding trend, upper show decreasing trend. inter-regional differences hypervariable density sources differences. Third, has broken geographical location restrictions formed multi-threaded complex form. During sample investigation period, scale agglomeration continuously enhanced, small-world correlation effect significant. Forth, regarding small group characteristics: reaches’ “wheeled” centered Longnan; forms “chain” with Yulin, Xi’an, Ankang cores; exhibits “dual-core multi-center radial” Heze Zhengzhou at core, featuring significant two-way interactions.

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