Issue 8, 2013
From the journal:

Environmental Science: Processes & Impacts

Principal component analysis to assess the composition and fate of impurities in a large river-embedded reservoir: Qingcaosha Reservoir†

Hua-Se Ou,a   Chao-Hai Wei,*a   Yang Dengb  and  Nai-Yun Gaoc  

* Corresponding authors

a Key Laboratory of Pollution Control and Ecosystem Restoration in Industry Clusters, Ministry of Education, College of Environment and Energy, South China University of Technology, Higher Education Mega Center, Panyu District, Guangzhou, China
E-mail: cechwei@scut.edu.cn
Tel: +86-020-87112874

b Department of Earth and Environmental Studies, Montclair State University, Montclair, New Jersey, USA

c State Key Laboratory of Pollution Control and Resources Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai, China

Abstract

Qingcaosha Reservoir (QR) is the largest river-embedded reservoir in east China, which receives its source water from the Yangtze River (YR). The temporal and spatial variations in dissolved organic matter (DOM), chromophoric DOM (CDOM), nitrogen, phosphorus and phytoplankton biomass were investigated from June to September in 2012 and were integrated by principal component analysis (PCA). Three PCA factors were identified: (1) phytoplankton related factor 1, (2) total DOM related factor 2, and (3) eutrophication related factor 3. Factor 1 was a lake-type parameter which correlated with chlorophyll-a and protein-like CDOM (r = 0.793 and r = 0.831, respectively). Factor 2 was a river-type parameter which correlated with total DOC and humic-like CDOM (r = 0.668 and r = 0.726, respectively). Factor 3 correlated with total nitrogen and phosphorus (r = 0.864 and r = 0.621, respectively). The low flow speed, self-sedimentation and nutrient accumulation in QR resulted in increases in PCA factor 1 scores (phytoplankton biomass and derived CDOM) in the spatial scale, indicating a change of river-type water (YR) to lake-type water (QR). In summer, the water temperature variation induced a growth-bloom-decay process of phytoplankton combined with the increase of PCA factor 2 (humic-like CDOM) in the QR, which was absent in the YR.

Graphical abstract: Principal component analysis to assess the composition and fate of impurities in a large river-embedded reservoir: Qingcaosha Reservoir

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Article information

DOI
https://doi.org/10.1039/C3EM00154G
Article type
Paper
Submitted
22 Mar 2013
Accepted
29 May 2013
First published
31 May 2013

Environ. Sci.: Processes Impacts, 2013,15, 1613-1621

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Principal component analysis to assess the composition and fate of impurities in a large river-embedded reservoir: Qingcaosha Reservoir

H. Ou, C. Wei, Y. Deng and N. Gao, Environ. Sci.: Processes Impacts, 2013, 15, 1613 DOI: 10.1039/C3EM00154G

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