黄河上游典型工业园区周边土壤重金属污染评价及来源解析 |
摘要点击 711 全文点击 93 投稿时间:2024-04-21 修订日期:2024-07-20 |
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中文关键词 黄河上游 土壤重金属 污染评价 源解析 绝对主成分-多元线性回归(APCS-MLR) |
英文关键词 upper reaches of the Yellow River soil heavy metals pollution assessment source analysis absolute principal component multiple linear regression (APCS-MLR) |
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中文摘要 |
为探究黄河上游典型工业园区周边土壤重金属污染状况和来源,选择宁夏中卫地区重要工业园区,系统采集区内表层土壤样品377件,分析了土壤中8种(As、Hg、Cr、Ni、Pb、Cd、Co和Mn)重金属元素含量分布特征,采用单因子污染指数、地累积指数、内梅罗综合污染指数、污染负荷指数和潜在生态风险指数,定量评价了研究区土壤重金属污染水平和潜在生态风险,并利用统计分析和绝对主成分-多元线性回归(APCS-MLR)模型对土壤重金属来源进行定性识别与定量解析. 结果表明,研究区土壤重金属含量总体上呈南西至北东递减的趋势;Hg、Cr、Pb、Cd和Mn含量平均值均高于宁夏土壤背景值;Hg和Cd空间分布差异性大,受人类活动影响显著;研究区土壤整体处于轻度污染水平,呈中等生态风险等级;相比之下,Hg和Cd污染程度较高,为区内土壤污染的关键因子;APCS-MLR模型解析显示,区内土壤重金属的来源主要有自然源(50.6%)、工业源-化石燃料燃烧的复合源(27.9%)及农业源(21.5%). 研究结果可为区内土壤污染防治及土地利用优化等提供重要依据,服务黄河流域生态保护和高质量发展国家战略. |
英文摘要 |
In order to explore the status and sources of soil heavy metal pollution around typical industrial parks in the upper reaches of the Yellow River, 377 surface soil samples were systematically collected from an important industrial park in Zhongwei area, Ningxia Hui Autonomous Region, and the content characteristics of the eight heavy metal elements As, Hg, Cr, Ni, Pb, Cd, Co, and Mn in the soil were analyzed. Single-factor pollution index, ground accumulation index, Nemerow index, pollution load index, and potential ecological risk index were used to comprehensively evaluate the soil heavy metal pollution level and potential ecological risk in the study area. Multivariate statistical analysis and the absolute principal component multiple linear regression (APCS-MLR) model were employed to quantitatively identify the sources of heavy metals in the soil. The results showed that the content of heavy metals in soil decreased from southwest to northeast. The average contents of Hg, Cr, Pb, Cd, and Mn were higher than the background values of soil from Ningxia Hui Autonomous Region. The spatial distribution of Hg and Cd was different, and they were significantly affected by human activities. The soil was slightly polluted and presented a medium ecological risk level in the study area. The content of Hg and Cd in the soil was relatively high, which were the main elements causing soil pollution. The results of APCS-MLR modelling showed that the dominant sources of heavy metals were natural sources (50.6%), industrial sources and fossil fuel combustion combined sources (27.9%), and agricultural sources (21.5%). The findings can provide important basis for soil pollution control and land use optimization in the region and serve the national strategy of ecological protection and high-quality development in the Yellow River Basin. |