Hong Yajun, Chen Miao, Zhu Ziwei, Liao Wei, Feng Chenglian, Yan Zhenfei, Qiao Yu, Mei Yaru, Xu Dayong
School of Chemical and Environmental Engineering, Anhui Polytechnic University, Wuhu 241000, China.
State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
Toxics. 2023 Jul 3;11(7):579. doi: 10.3390/toxics11070579.
In this study, the spatial distribution characteristics of nine alkylphenols (APs) in the Yongding River and Beiyun River were analyzed. The differences in the concentrations and spatial distribution patterns of nine APs were systematically evaluated using principal component analysis (PCA). The relationships between the concentration distribution patterns and the risks associated with nine APs were investigated under various categories of land use conditions in the region. The results demonstrated that the APs were widely present in both rivers, and the pollution risks associated with the APs were more severe in the Yongding River than in the Beiyun River. The results show that the contamination risks associated with 4-NP were the most serious in the two rivers, with detection percentages of 100% and 96.3%, respectively. In the Yongding River, the APs showed a tendency of low concentration levels in the upper reaches and high levels in the middle and lower regions. Meanwhile, the overall concentration levels of the APs in the Beiyun River were relatively high. However, despite the differences between the upper and middle regions of the Yongding River, the distribution pattern of the APs in the Beiyun River was basically stable. The concentration levels and risk quotient of the APs were negatively correlated with the vegetation cover land use type and positively correlated with the cropland and unused land use types within 500 m, 1 km, and 2 km. The purpose of this study was to provide theoretical data support and a basis for AP pollution risk evaluations in the Yongding River and Beiyun River.
本研究分析了永定河和北运河中9种烷基酚（APs）的空间分布特征。运用主成分分析（PCA）系统评估了9种APs浓度及空间分布模式的差异。研究了该区域不同土地利用类型下9种APs浓度分布模式与相关风险之间的关系。结果表明，APs在两条河流中均广泛存在，永定河中APs相关的污染风险比北运河更为严重。结果显示，4-壬基酚（4-NP）在两条河流中相关的污染风险最为严重，检出率分别为100%和96.3%。在永定河中，APs呈现出上游浓度低、中下游浓度高的趋势。同时，北运河中APs的总体浓度水平相对较高。然而，尽管永定河上下游存在差异，但北运河中APs的分布模式基本稳定。在500米、1千米和2千米范围内，APs的浓度水平和风险商与植被覆盖土地利用类型呈负相关，与农田和未利用土地利用类型呈正相关。本研究旨在为永定河和北运河APs污染风险评估提供理论数据支持和依据。
