APCS-MLR结合PMF模型解析厦门杏林湾近郊流域沉积物金属来源  

APCS-MLR Combined with PMF Model to Analyze the Source of Metals in Sediment of Xinglin Bay Suburban Watershed,Xiamen

作　　者：沈宸宇 闫钰 于瑞莲[1] 胡恭任[1,2] 崔建勇 颜妍[3] 黄华斌 SHEN Chen-yu;YAN Yu;YU Rui-lian;HU Gong-ren;CUI Jian-yong;YAN Yan;HUANG Hua-bin(Department of Environmental Science and Engineering,Huaqiao University,Xiamen 361021,China;Key Laboratory of Environmental Monitoring,Fujian Province University,Xiamen 361021,China;Center of Analysis,Beijing Research Institute of Uranium Geology,Beijing 100029,China)

机构地区：[1]华侨大学环境科学与工程系,厦门361021 [2]环境监测福建省高校重点实验室,厦门361021 [3]核工业北京地质研究院分析测试研究中心,北京100029

出　　处：《环境科学》2022年第5期2476-2488,共13页Environmental Science

基　　金：国家自然科学基金项目(21777049)。

摘　　要：城市化、工业化和农业集约化的快速发展,导致排入近郊流域水体中的金属不断增多.为了及时阻断污染源头,制定有针对性的风险缓解措施,准确识别和量化复杂环境内沉积物中金属的污染来源显得尤其重要.对厦门杏林湾近郊流域水系表层沉积物中14个金属元素(Cd、Cu、Sr、Zn、U、Pb、Th、Ni、Be、Co、Cr、Rb、V和Mo)含量进行分析测定.综合运用相关性分析、聚类分析、绝对主成分-多元线性回归(APCS-MLR)和正定矩阵因子分解法(PMF)等多种方法,识别和定量解析污染源及贡献.近郊流域水系沉积物中大部分金属元素含量超过厦门市C层土壤环境背景值,各金属在不同区域(许溪、苎溪、后溪和杏林湾)分布存在差异,平水期和丰水期的苎溪区域样点的表层沉积物中,变异系数大的Cr、Cu、Zn、Mo和Cd元素含量比其他区域的含量高,其中,Cu和Cd污染较为严重;丰水期的整体区域沉积物中金属的富集程度相比于平水期有所下降,Cu和Cd在两个时期均为显著富集;相关性分析、聚类分析和主成分分析表明,杏林湾近郊流域水系表层沉积物中金属污染来源较为复杂.Ni、Cu、Zn和Pb主要来源于采矿活动;Be、Rb、Th和U均由自然源控制;Mo和Cr主要来源于工业活动;Co、V和Sr以海源为主;Cd以农业生产影响为主.APCS-MLR和PMF模型分析结果表明,水系表层沉积物中金属来源分为5种,人类活动排放的贡献率达到52.57%,其中采矿活动、工业生产和农业活动的贡献率分别为17.72%、19.09%和15.77%;自然输入的贡献率为47.43%,其中自然源和海源的贡献率分别为16.73%和30.7%.The rapid development of urbanization,industrialization,and agricultural intensification has led to a continuous increase in the amount of metal discharged into water bodies in the suburbs.In order to control the source of pollution in time,it is particularly important to formulate targeted risk mitigation measures to accurately identify and quantify the source of metal pollution in sediments in a complex environment.In this study,the contents of 14 metal elements(Cd,Cu,Sr,Zn,U,Pb,Th,Ni,Be,Co,Cr,Rb,V,and Mo)in the surface sediments of the Xinglin Bay watershed in Xiamen were analyzed and determined.Correlation analysis,cluster analysis,absolute principal component-multiple linear regression(APCS-MLR),positive matrix factorization(PMF),and other methods were comprehensively used to identify pollution sources and quantitatively analyze their contributions.The contents of most metal elements in the sediments of the water system in the suburbs exceeded the background value of the C-layer soil of Xiamen City.The distribution patterns of various metals in different regions(Xuxi,Zhuxi,Houxi,and Xinglin Bay)were different.The contents of Cr,Cu,Zn,Mo,and Cd with large coefficients of variation in the surface sediments of the Zhuxi area were higher than those in other areas in flat and high water periods,with Cu and Cd pollution being more serious.The enrichment factor results showed that the enrichment degree of metals in the overall regional sediments in the high water period was lower than that in the flat water period,and the overall regional enrichment degree of Cu and Cd was significantly enriched in both periods.Correlation analysis,cluster analysis,and principal component analysis showed that the sources of metal pollution in surface sediments of the water system in the suburb of Xinglin Bay were complex and mainly resulted from human activities.Ni,Cu,Zn,and Pb were mainly derived from mining activities;Be,Rb,Th,and U were controlled by natural sources;Mo and Cr were mainly derived from industrial activities;Co,V,a

关 键 词：沉积物 重金属 来源解析 正定矩阵因子分析模型(PMF) 绝对主成分-多元线性回归(APCS-MLR) 

分 类 号：X522[环境科学与工程—环境工程]