New insight into the spatiotemporal distribution and ecological risk assessment of endocrine-disrupting chemicals in the Minjiang and Tuojiang rivers: perspective of watershed landscape patterns†

IF 4.3 3区 环境科学与生态学 Q1 CHEMISTRY, ANALYTICAL Environmental Science: Processes & Impacts Pub Date : 2024-07-03 DOI:10.1039/D4EM00052H
Weike Zhao, Peilin Li and Bo Yang
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Abstract

This study evaluated the pollution characteristics, spatiotemporal distribution, and ecological risks of eight endocrine-disrupting chemicals (EDCs) in the Minjiang and Tuojiang rivers. Utilizing 3S technology (ArcGIS, remote sensing, GPS) and Fragstats, the research calculated eight landscape pattern indices related to land use types along the Minjiang river and established correlations between landscape factors and EDC distribution through stepwise multiple regression. The results indicated that bisphenol A (BPA) and nonylphenol (NP) were the most concerning EDCs, with detection frequencies of 97–100% and peak concentrations up to 63.35 ng L−1, primarily located in the middle and lower reaches of the Minjiang river and the upper reaches of the Tuojiang river. There was a significant correlation between the spatial distribution of pollutants and landscape patterns, where increased fragmentation, a higher number of patches, and complex patch shapes within a 10-kilometer buffer zone were associated with elevated levels of river pollution. By integrating four classical mathematical models to fit curves for acute and chronic toxicity data of BPA and NP, the findings suggested that BPA posed a higher ecological risk. This interdisciplinary research provided essential theoretical insights for investigating river pollution and its influencing factors, offering a new perspective on simultaneous river pollution control, urban functional zoning, and adjustment of watershed landscape spatial patterns from an urban planning standpoint.

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岷江和沱江中干扰内分泌的化学物质时空分布和生态风险评估的新见解:流域景观模式的视角。
本研究评估了岷江和沱江中八种干扰内分泌的化学物质(EDCs)的污染特征、时空分布和生态风险。研究利用 3S 技术(ArcGIS、遥感、GPS)和 Fragstats,计算了与岷江沿岸土地利用类型相关的 8 个景观格局指数,并通过逐步多元回归建立了景观因子与 EDC 分布之间的相关性。结果表明,双酚 A(BPA)和壬基酚(NP)是关注度最高的 EDCs,检出率为 97%-100%,峰值浓度高达 63.35 ng L-1,主要分布在岷江中下游和沱江上游。污染物的空间分布与景观格局之间存在明显的相关性,在10公里的缓冲区内,破碎化程度增加、斑块数量增多、斑块形状复杂与河流污染水平升高有关。通过整合四个经典数学模型来拟合双酚 A 和 NP 的急性和慢性毒性数据曲线,研究结果表明双酚 A 对生态环境的风险更高。这项跨学科研究为研究河流污染及其影响因素提供了重要的理论依据,从城市规划的角度为同时进行河流污染控制、城市功能分区和流域景观空间格局调整提供了新的视角。
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来源期刊
Environmental Science: Processes & Impacts
Environmental Science: Processes & Impacts CHEMISTRY, ANALYTICAL-ENVIRONMENTAL SCIENCES
CiteScore
9.50
自引率
3.60%
发文量
202
审稿时长
1 months
期刊介绍: Environmental Science: Processes & Impacts publishes high quality papers in all areas of the environmental chemical sciences, including chemistry of the air, water, soil and sediment. We welcome studies on the environmental fate and effects of anthropogenic and naturally occurring contaminants, both chemical and microbiological, as well as related natural element cycling processes.
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