董健彪,谢淑云,田欢,杨文兵,李华,周徐维,Diego Armando Pinzon Nunez.基于PMF模型的湖北随县三里岗地区土壤重金属源解析[J].贵州地质,2022,39(4):404-413 |
基于PMF模型的湖北随县三里岗地区土壤重金属源解析 |
Source Analysis of Soil Heavy Metals in Sanligang area of Sui County in Hubei Based on PMF Model |
投稿时间:2022-07-01 |
DOI: |
中文关键词: 湖北随县 土壤重金属 半变异函数 正定矩阵因子分解法 源解析 |
英文关键词:Sui county in Hubei province Soil heavy metal Semi-variogram function Positive matrix factorization(PMF) Source appointment |
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中文摘要: |
随着工矿业、农业的发展,许多国家和地区都已发现重金属污染问题,掌握土壤重金属的来源情况对于维护生态安全十分必要。本文对三里岗镇八种重金属元素进行了含量分析和半变异函数分析,并通过正定矩阵因子分解法结合源贡献率空间分布特征探究了土壤中8种重金属元素的来源。结果表明:As、Cd、Cr、Cu、Ni和Zn的土壤含量均超出全国背景值,内梅罗综合污染指数均值为073,说明研究区整体处于尚清洁水平。半变异函数分析显示8种重金属元素更多受到结构性因素的影响。PMF源解析所得到的4个来源分别解释为震旦系和白垩系地层母岩的影响、元古界地层与乡村道路交通排放的混合源、震旦系和寒武系地层母岩的影响以及奥陶系到志留系地层母岩的影响,说明自然源是研究区重金属的主要来源。此外,本文研究结果表明PMF模型在重金属源解析工作中可以发挥十分重要的作用。 |
英文摘要: |
With the development of industry,mining and agriculture,heavy metal pollution has been found in many countries and regions of the worldIt is necessary to master the sources of soil heavy metals for maintaining ecological securityIn this paper,eight heavy metals in Sanligang town were analyzed by content analysis and semi-variogram analysis,and the sources of these eight heavy metals in soil were explored by positive matrix factor(PMF)decomposition combined with spatial distribution characteristics of source contribution rateThe results showed that the soil contents of As,Cd,Cr,Cu,Ni and Zn exceeded the national background value,and the average value of Nemerow comprehensive pollution index is 073,indicating that the study area is still at a clean levelSemi-variogram analysis showed that these eight heavy metals were more affected by structural factorsThe four sources obtained by PMF source analysis are interpreted as the influence of the rocks in Sinian and Cretaceous,the mixed source of Proterozoic strata and rural road traffic emissions,the influence of the rocks in the Sinian and the Cambrian and the influence of the rocks in the Ordovician to the Silurian,indicating that the natural origins are the most important contributors of heavy metals in this regionFurthermore,the study shows that the PMF model can play a very important role in the source apportionment of heavy metals |
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