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艾比湖流域枯、丰水期三维荧光光谱特性及其与水质的关系
王迪1, 张飞1, 张兆永1, 张海威2, 朱世丹1, 张贤龙3
1.新疆大学资源与环境科学学院智慧城市与环境建模自治区普通高校重点实验室;2.南京师范大学地理科学学院;3.新疆大学绿洲生态教育部重点实验室
摘要:
本研究以艾比湖流域主要入湖河流为研究对象,在5月(丰水期)与8月(枯水期)分别沿博尔塔拉河与精河进行采样,采用平行因子模型(PARAFAC)和三维荧光区域积分法对水体三维荧光特性进行研究并对其与水质的关系在枯、丰水期下的变化进行探讨。结果表明①河流DOM在枯水期与丰水期都含有C1(240,425nm)UVC类腐殖质,C2(225,290nm)紫外区内络氨酸类有机物,C3(230/280,330nm)蛋白类有机物,C4(265,260nm)腐殖质类共四种组分。通过对三维荧光进行区域积分可以看出DOM荧光成分的占比在不同时期的变化。博河在枯水期时EEM光谱中的区域Ⅲ富里酸浓度低于丰水期,枯水期时区域Ⅱ芳香类蛋白质、区域Ⅳ可溶性微生物代谢物以及区域Ⅴ类腐殖质酸高于丰水期;对于精河来说,区域Ⅱ芳香类蛋白质和区域Ⅳ可溶性微生物代谢物在枯水期的含量高于丰水期,区域Ⅲ富里酸和区域Ⅴ类腐殖质酸的浓度是枯水期低于丰水期,这表明水体腐质化程度较高。②本研究选取了一些常规的荧光指数来描述枯、丰水期水体的荧光指数特性。经研究发现,精河的三个指数在不同时期的变化幅度较小,而博河的变化幅度较大。③将荧光指数与水质参数进行相关性分析并建模,结果表明枯水期时BIX与COD浓度的关系较好,且呈显著正相关,相关系数R=0.688,(P<0.01);丰水期时BIX与NH4+-N浓度的关系最好,且呈显著负相关,相关系数为R=-0.493,(P<0.05)。本研究通过对比分析艾比湖主要入湖河流的三维荧光光谱特性与水质在枯,丰水期时的关系进一步表明水体中DOM的特性以及不同时期下的差异,为艾比湖流域的治理改善提供一定的理论支持和参考依据。
关键词:  艾比湖流域  水质  三维荧光光谱及平行因子法  荧光区域积分法  荧光指数
DOI:
分类号:
基金项目:国家自然科学基金新疆本地优秀青年培养专项(No.U1503302); 自治区人民政府公派出国留学成组配套项目(L06);新疆维吾尔自治区天山英才项目(400070010209)资助.
Characteristics of three-dimensional fluorescence spectra and its correlation with water quality of surface water during dry and wet seasons in Lake Ebinur Watershed
wangdi,zhangfie,zhangzhaoyong,zhanghaiwei,zhushidan,zhangxianlong
Key laboratory of smart city and environmental modeling, college of resources and environmental sciences, xinjiang university, xinjiang normal university
Abstract:
This study takes the main lakes in Lake Ebinur Watershed as the research object, and samples along the Bortala River and Jing River in May (wet season) and August (dry season), using the PARAFAC analysis method and the three-dimensional fluorescence region integration method is used to study the three-dimensional fluorescence characteristics of water and its seasonal variation with water quality. The results show that ①In both dry and wet seasons, river DOM contains C1 (240, 425 nm) and C4 (265, 260 nm) kind of humus, C2 (225, 290 nm) uranium-like organic matter compounds..It found that fulvic acid is lower ,the aromatic protein, soluble microbial and humic acidis were highest in dry season than wet season in Bortala River.The concentration of s the aromatic protein and soluble microbial in dry season was higher than in the wet season ,and the fulvic acid and humic acidis in dry season was lower than in the wet season in Jing River ,based on FRI analysis and the regional standards related to water quality and fluorescence.This indicates that the degree of decomposition in water is relatively high.②In this study, some conventional fluorescence indexes were selected to describe the fluorescence index characteristics of water in wet and dry season. The study found that the three indexes (FI,BIX,HIX) of the water quality of Jing River and Boltala River in dry and wet seasons showed a less obvious changes range of the three indexes, while the change range of the Boltala River was larger. In general, the change of water quality of Jing River and Boltala River in dry and wet seasons is mainly influenced by microbial activities and human activities.③Among the correlation coefficients of water quality parameters and fluorescence indexes in dry and wet seasons, and the results showed that the relationship between BIX and COD concentration was best and showed a significant positive correlation in the dry season. The correlation coefficients was R=0.688,(P<0.01).Secondly, there is a significant negative correlation between BIX and COD concentration in the wet season, and the correlation coefficients was R=-0.493,(P<0.05). The results of this work can provides some theoretical support and reference basis for the improvement of the governance of Lake Ebinur Watershed by comparing the relationship between the three-dimensional fluorescence spectrum characteristics and the water quality of the major inflow rivers of Lake Ebinur Watershed during dry and wet seasons, which further proved that exogenous characteristics and the differences in different periods of DOM sources in the water..
Key words:  Lake Ebinur Watershed  water quality  three-dimensional fluorescence and PARAFAC analysis method  FRI analysis and the regional standards  fluorescence index
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