摘要
运用三维荧光光谱技术结合紫外-可见吸收光谱表征技术,以及各种分析统计方法,对清水河流域水体中溶解性有机质(DOM)的空间分布、光谱特征及污染来源进行了解析,以期为黄河流域水环境治理及污染溯源提供较为可靠的信息.结果表明清水河流域春灌季水质指标空间差异性较大.DOM中类蛋白质物质浓度高于类腐殖质物质浓度,自生源特征强于陆源特征,且新生成的DOM占比较大,即DOM主要来源于水体微生物活动和细菌降解代谢的产物.PARAFAC解析得到6个主成分,包括4个类蛋白质组分(C1、C2、C3、C5)和2个类腐殖质组分(C4、C6),其中类蛋白质组分的空间差异性大于类腐殖质组分,受水库水和污水处理厂排水等水体内源影响较大.PCA分析得到4个主成分,组分C5、氟离子、组分C2和HIX可分别作为该4个主成分的描述性指标.
To provide more reliable information for water environment treatment and pollution source tracking in the Yellow River Basin,the threedimensional fluorescence spectra technology combined with ultraviolet-visible absorption spectra and various statistical methods are applied to analyze the spatial distribution,spectral characteristics,pollution source of dissolving organic matter(DOM)in the Qingshui River basin in this study. The results show that spatial differences of water quality indices in spring irrigation season of the Qingshui River are large. In addition,the concentration of protein-like substances in DOM is higher than that of humus-like substances,and the characteristics of autogenous sources are stronger than those of terrestrial sources. The proportion of newly generated DOM is relatively large,which means that DOM mainly comes from microbial activity,the product of bacterial degradation and metabolism in water. Six principal components are identified by using PARAFAC,including four protein-like components(C1,C2,C3,C5)and two humus-like components(C4,C6). The spatial difference of protein-like components is more obvious than that of humus-like components,which are greatly influenced by endogenous factors of reservoir and sewage effluent. Four principal components,C5,fluorion,C2,and HIX,are spotted after applying the PCA approach,which can also be the descriptive indicators.
作者
徐斌
裴东艳
何斐
彭福全
庞晴晴
朱翔
谢磊
汪龙眠
XU Bin;PEI Dongyan;HE Fei;PENG Fuquan;PANG Qingqing;ZHU Xiang;XIE Lei;WANG Longmian(Nanjing Institute of Environmental Science,Ministry of Ecology and Environment,Nanjing 210042;School of Environmental Science and Engineering,Nanjing University of Information Science and Technology,Nanjing 210044)
出处
《环境科学学报》
CAS
CSCD
北大核心
2022年第5期325-335,共11页
Acta Scientiae Circumstantiae
基金
生态环境部南京环境科学研究所创新团队项目(No.GYZX200101)
国家自然科学基金资助项目(No.51808251)
中央级公益性科研院所基本科研业务专项(No.GYZX210517)
国家水体污染控制与治理科技重大专项(No.2017ZX07301006,2018ZX07208006-004)
宁夏回族自治区重点研发项目(No.2019BFG02028)。
关键词
清水河
溶解性有机质
三维荧光光谱
平行因子分析法
the Qingshui River
dissolved organic matter
three-dimensional fluorescence spectrum
popular parallel factor analysis