南太行某小流域表土重金属的污染特征及来源分配

Land Pub Date : 2024-07-16 DOI:10.3390/land13071068
Jiafu Liu, Yuxin Chen, Yingtao Shang, Hongbo Li, Quanlai Ma, Fengjie Gao
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引用次数: 0

摘要

随着工业化和城市化的快速发展,土壤环境污染问题日益突出,尤其是重金属污染问题引起了学者们的极大关注。水线形成的地表流域受地形地貌、工业排放、农业径流等多种因素的影响,导致重金属元素多源迁移和积累过程复杂。本研究采用统计学、地质统计学、富集因子分析和正矩阵因子化模型(PMF)等多种方法,综合分析了济源市茫溪河流域 165 个地表土壤样品中重金属元素 Hg、As、Pb、Ni、Cd、Cr、Cu、Zn 的污染特征和来源。结果表明,汞、镉、砷、铜、铅和锌的浓度超过了相应的背景值,且富集程度不同。其中,镉、汞和铅的平均含量分别是中国土壤的 26.70 倍、3.69 倍和 4.49 倍,富集特征明显。此外,各重金属元素的空间分布格局也各不相同,镍和铬的分布趋势相似,主要受母质控制,而人类活动对其他六种元素的影响较大,在矿业及相关产业周围形成了高值区。值得注意的是,铜、汞和锌受秋冬季主导风向的影响,在南部林区形成次高值区;同时,铜和锌还受农业施肥和地表径流的影响,在干旱地区形成次高值区。进一步分析发现,这些重金属元素之间存在明显的正相关性,表明它们可能具有共同的来源。通过 PMF 模型,确定了四个主要因子,按贡献率从高到低依次为因子 2(36.25%)、因子 1(23.00%)、因子 3(21.20%)和因子 4(19.55%)。研究区域的重金属污染主要归因于人为活动和自然因素,分别占 63.75% 和 36.25%。煤矿开采、化工冶炼、汽车尾气排放和农用化学品的过度使用被认为是重金属污染的主要来源。这些污染物通过直接排放、大气沉降、运输和农业活动进入土壤,对土壤环境产生了重大影响。因此,深入研究土壤重金属污染的空间分布规律,精确分析其来源,对于有效治理和修复小流域土壤重金属污染,维护健康的土壤生态环境,保障人类健康具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Contamination Characteristics and Source Apportionment of Heavy Metal in the Topsoil of a Small Watershed in South Taihang
With the rapid development of industrialization and urbanization, the issue of soil environmental pollution is becoming more and more prominent, especially concerning heavy metal contamination, which has garnered significant scholarly attention. The surface watershed formed by waterline is influenced by various factors such as topography, industrial emissions, and agricultural runoff, resulting in a complex process of migration and accumulation of heavy metal elements from multiple sources. In this study, the pollution characteristics and sources of heavy metal elements Hg, As, Pb, Ni, Cd, Cr, Cu and Zn in 165 surface soil samples from the Manghe River watershed in Jiyuan City were comprehensively analyzed using a variety of methods, including statistics, geostatistics, enriched factor analysis and the Positive Matrix Factorization Model (PMF). The results showed that the concentrations of Hg, Cd, As, Cu, Pb and Zn exceeded their corresponding background values with varying degrees of enrichment. Notably, the average contents of Cd, Hg and Pb were 26.70 times, 3.69 times and 4.49 times higher than those in Chinese soils on average, respectively, showing obvious enrichment characteristics. Moreover, there were distinct spatial distribution patterns for each heavy metal element; Ni and Cr exhibited similar trends mainly controlled by the parent material, while human activities significantly affect the other six elements forming high-value areas around mining and related industries. It is noteworthy that Cu, Hg and Zn were influenced by dominant wind direction in autumn and winter, forming sub-high-value zones in southern forested areas; meanwhile, Cu and Zn were also influenced by agricultural fertilizer application as well as surface runoff, leading to secondary high-value areas in the dryland areas. Further analysis revealed a significant positive correlation among these heavy metal elements, suggesting that they may share common sources. Through the PMF Model, four main factors were identified, with factor 2 (36.25%), factor 1 (23.00%), factor 3 (21.20%) and factor 4 (19.55%) ranked in descending order of contribution rate. The heavy metal pollution in the study area was attributed to anthropogenic activities and natural factors, accounting for 63.75% and 36.25%, respectively. Coal mining, chemical industry smelting, vehicle emissions and excessive use of agrochemicals were identified as the main sources of heavy metal pollution. These pollutants entered the soil through direct emissions, atmospheric deposition, transportation and agricultural activities, exerting a significant impact on the soil environment. Therefore, delving into the spatial distribution pattern of soil heavy metal pollution and precise analysis of its sources are of great importance for effective treatment and remediation of soil heavy metal pollution in small watersheds, maintaining healthy soil ecology and safeguarding human health.
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