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引用本文:方开凯,黄廷林,张春华,周石磊,曾明正,刘飞,夏超.淮河流域周村水库夏季CDOM吸收光谱特征、空间分布及其来源分析.湖泊科学,2017,29(1):151-159. DOI:10.18307/2017.0117
FANG Kaikai,HUANG Tinglin,ZHANG Chunhua,ZHOU Shilei,ZENG Mingzheng,LIU Fei,XIA Chao.Summer absorption characteristics, spatial distribution and source analysis of CDOM in Zhoucun Reservoir in Huaihe Catchment. J. Lake Sci.2017,29(1):151-159. DOI:10.18307/2017.0117
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淮河流域周村水库夏季CDOM吸收光谱特征、空间分布及其来源分析
方开凯, 黄廷林, 张春华, 周石磊, 曾明正, 刘飞, 夏超
西安建筑科技大学环境与市政工程学院, 西安 710055
摘要:
基于2015年8月采集的24个淮河流域以周村水源水库为代表的表层水样的有色溶解性有机物(CDOM)吸收系数数据,研究了CDOM吸收光谱的空间分布特征,考察了CDOM的吸收系数与水质参数的相关关系,同时探讨了周村水库夏季CDOM的潜在来源.结果显示:依据CDOM的吸收光谱空间分布特性及采样点分布特征,周村水库分为入库口、过渡区和主库区3个特征水域;CDOM的吸收系数沿入库口到主库区依次递减,S值呈现相反的趋势;分析发现S240~500a(355)和a*(355)呈极显著负相关(R2=0.98、0.88);CDOM吸收系数a(355)与溶解性有机碳(DOC)浓度具有良好的线性相关,有利于建立DOC遥感反演模型;同时,CDOM吸收系数a(355)与aph(440)存在极显著正线性相关,表明浮游植物的新陈代谢及其降解产物是夏季周村水库CDOM的潜在来源.综上,通过对夏季周村水库水体CDOM的研究,丰富了关于水源水体CDOM的调查资料,可为日后水库的管理提供技术支撑.
关键词:  有色可溶性有机物  周村水库  吸收系数  光谱斜率  遥感反演  淮河流域
DOI:10.18307/2017.0117
分类号:
基金项目:国家自然科学基金项目(51478378)和国家科技支撑计划项目(2012BAC04B02)联合资助.
Summer absorption characteristics, spatial distribution and source analysis of CDOM in Zhoucun Reservoir in Huaihe Catchment
FANG Kaikai, HUANG Tinglin, ZHANG Chunhua, ZHOU Shilei, ZENG Mingzheng, LIU Fei, XIA Chao
School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, P. R. China
Abstract:
Based on the data of the absorption coefficient of colored dissolved organic matter (CDOM) from 24 surface water samples collected from Zhoucun Reservoir in Huaihe Catchment, we analyzed the spatial distribution characteristics of CDOM absorption coefficient, investigated the correlation between CDOM absorption coefficient and environmental parameters, and explored the possible source of CDOM in the reservoir. The samples collected from the reservoir were categorized into three different groups (storage port, transition region and main reservoir area), the absorption coefficients (a(355) and a*(355)) had a decrease process from the storage port to main reservoir area, while the S value exhibited an increased trend. Meanwhile, significantly negative correlations of the value of S240-500 were found with a(355) and a*(355), respectively, which may have implications for the remote sensing estimation of CDOM in this study. A significantly negative correlation between a(355) and dissolved organic carbon (DOC) concentration was conducive to the establishment of DOC remote sensing inversion model, and relationships between a(355) and aph(440) implied the potential contribution of phytoplankton metabolism and degradation products to the CDOM pool in the Zhoucun Reservoir. These results on the CDOM analysis made a significant contribution to the management of the Reservoir in the future.
Key words:  Colored dissolved organic matter  Zhoucun Reservoir  absorption coefficient  spectral slope  remote sensing inversion  Huaihe Catchment
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