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Space-time characteristics of chromophoric dissolved organic matter from typical polluted city river |
YU Min-da1,2,3, HE Xiao-song1,3, TAN Wen-bing1,3, XI Bei-dou1,3, ZHANG Hui1,3, MA Li-na1,3, ZHANG Yuan1,3, DANG Qiu-ling1,3, GAO Ru-tai1,3 |
1. State Environmental Protection Key Laboratory of Simulation and Control of Groundwater Pollution, Beijing 100012, China;
2. School of Environmental and Safety Engineering, Changzhou University, Changzhou 213164, China;
3. Innovation Base of Ground Water and Environmental System Section Engineering, Chinese Research Academy of Environmental Sciences, Beijing 100012, China |
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Abstract Typical urban polluted city river-Hebei Xiao River water CDOM of the source, spatial and temporal distribution characteristics were studied by fluorescence excitation-emission matrix spectra (EEM), ultraviolet-visible (UV-vis) combine with parallel analysis (PARAFAC), principal component analysis (PCA), and the correlation of CDOM and water chemical indicators was investigated as well. The results showed that Xiao River water CDOM was mainly microbial-derived for rencent human emission of water. The concentration of CDOM was at higher level in fall (August) and winter (November), but low in the spring (February) and summer (May). Variation characteristics of space redered on first increase and then decreases from upstream to downstream. Four florescence components were identified, and component 1 (fulvic acid), component 2 (humic) and component 3 (humic acid) originated from humic-like substance, while component 4ascribed to protein-like materials. The components had difference source and distribution was variable and changed with time. In addition to summer the protein-like and humic-like components had similar sources, especially with the humic acid components. The concentration of protein-like was higher in spring and winter, but lower in the summer and autumn. In the Xiao River fluorescent substance had greatly contribution of ammonia and nitrite, and the humic-like had an important influence of chemical oxygen demand. The results demonstrated that, EEM and UV-vis spectra coupled with PARAFAC, PCA and cluster analysis can be used to analyze the seasonal variation of the CDOM and identify the spatial distribution of pollution in the Xiao River.
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Received: 18 May 2015
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