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南流江流域表层土壤中铅空间分布格局的自然与人为因素识别

Identification of natural and anthropogenic factors in the spatial pattern of Pb in the surface soil of the Nanliu River Basin.

作者信息

Liu Xu, Yang Zhongfang, Shi Huading, Wu Tiansheng, Yu Tao, Li Bo, Wang Lei, Shao Yuxiang, He Zexin, Xie Minghui, Deng Chenning

机构信息

State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, PR China; Technical Centre for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, PR China.

School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, PR China.

出版信息

Ecotoxicol Environ Saf. 2025 Jan 15;290:117601. doi: 10.1016/j.ecoenv.2024.117601. Epub 2024 Dec 24.

Abstract

The identification of source in potentially toxic elements (PTEs) in watershed soils is crucial for environmental management. This study addresses the knowledge gap in understanding the combined influence of natural and anthropogenic factors on the spatial pattern of lead (Pb) in the surface soil of the Nanliu River Basin. The main objective was to identify and quantify these influences using an integrated approach of ANOVA, correlation analysis, IDW interpolation, and Local Moran's I. Soil samples were collected and analyzed for Pb concentrations, revealing that granite and urban development significantly control Pb occurrence. The results indicate that the spatial pattern of soil Pb is jointly controlled by soil parent materials and anthropogenic factors, with varying degrees of influence across spatial scales. When the distance band of the Local Moran's I is set at 8000 m, the most reasonable spatial partitioning characteristics are exhibited. In conclusion, our study underscores the importance of integrating traditional statistical and spatial analysis methods to better understand the geochemical features of Pb in the surface soil of the Nanliu River Basin. This approach provides valuable insights for environmental management and pollution mitigation strategies. Our research highlights the use of integrating traditional statistical and spatial analysis methods in environmental research and offers a deeper comprehension of the geochemical features of Pb in the surface soil of the Nanliu River Basin.

摘要

确定流域土壤中潜在有毒元素(PTEs)的来源对于环境管理至关重要。本研究旨在填补在理解自然和人为因素对南流江流域表层土壤中铅(Pb)空间格局的综合影响方面的知识空白。主要目标是采用方差分析、相关分析、反距离加权插值和局部莫兰指数等综合方法来识别和量化这些影响。采集土壤样本并分析铅浓度,结果表明花岗岩和城市发展对铅的存在有显著控制作用。结果表明,土壤铅的空间格局受土壤母质和人为因素共同控制,在不同空间尺度上影响程度各异。当局部莫兰指数的距离带设置为8000米时,呈现出最合理的空间分区特征。总之,我们的研究强调了整合传统统计和空间分析方法以更好地理解南流江流域表层土壤中铅地球化学特征的重要性。这种方法为环境管理和污染缓解策略提供了有价值的见解。我们的研究突出了在环境研究中整合传统统计和空间分析方法的应用,并对南流江流域表层土壤中铅的地球化学特征有了更深入的理解。

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