Identifying sources of particle organic carbon in surface water based on stable isotope tracing in the Jinshui River

Identifying sources of particle organic carbon in surface water based on stable isotope tracing in the Jinshui River
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DOI:
10.5846/stxb201301080059
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发表时间:
2014
影响因子:
--
通讯作者:
谭慧娟 Tan Huijuan;夏晓玲 Xia Xiaoling;吴川 Wu Chuan;张全发 Zhang Quanfa
谭慧娟 Tan Huijuan;夏晓玲 Xia Xiaoling;吴川 Wu Chuan;张全发 Zhang Quanfa
中科院分区:
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文献类型:
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作者:
谭慧娟 Tan Huijuan;夏晓玲 Xia Xiaoling;吴川 Wu Chuan;张全发 Zhang Quanfa

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Particle organic carbon (POC) in riverine systems is a critical component in the global carbon cycle, and it could provide information on human activities in particular land use in their representative drainage areas. In present study, soil and plant in the riparian zone and algae and POC in river waters were sampled in the Jinshui River Basin. Stable carbon isotopes analysis and elemental C / N ratios measure were applied to investigate the seasonal change of concentration, sources and their contributions of POC in river. The results showed that the POC concentration in river had remarked seasonal variations in the Jinshui River, in a decrease order of summer, spring, autumn, and winter. Larger quantity of soil organic matters and plant debris were washed into the river in spring and summer due to intensive rainfalls, and higher temperature was in favor of algal growing and which could produce more endogenous POC. Additionally, the POC concentration in slightly disturbed zone (i.e., upstreams) was obviously lower than that of moderately disturbed zone and intensely disturbed zone (i.e., middle reach and downstreams). These showed that seasonal change and human disturbance such as change of land use had a great influence on the concentration of POC in the Jinshui River. Qualitative analysis using stable carbon isotope (啄C), elemental C / N ratios and the relational graph indicated that the major sources of POC in river were soil organic matter, C3 plants, and algae, and contribution from plankton and C4 plants were minimal. Ternary analysis model further revealed tempo鄄spatial variabilities of the sources and their contribution of POC in river. The results showed that the