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

Qingcaosha Reservoir

Hua Se Ou, Chao Hai Wei, Yang Deng, Nai Yun Gao

Research output: Contribution to journalArticleResearchpeer-review

10 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1613-1621
Number of pages9
JournalEnvironmental Sciences: Processes and Impacts
Volume15
Issue number8
DOIs
StatePublished - 1 Aug 2013

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2,5-Dimethoxy-4-Methylamphetamine
Principal Component Analysis
Rivers
Principal component analysis
Phytoplankton
principal component analysis
Impurities
phytoplankton
dissolved organic matter
Chemical analysis
river
Biological materials
Water
Lakes
Biomass
Phosphorus
phosphorus
Nitrogen
Chlorophyll Binding Proteins
Eutrophication

Cite this

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title = "Principal component analysis to assess the composition and fate of impurities in a large river-embedded reservoir: Qingcaosha Reservoir",
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.",
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Principal component analysis to assess the composition and fate of impurities in a large river-embedded reservoir : Qingcaosha Reservoir. / Ou, Hua Se; Wei, Chao Hai; Deng, Yang; Gao, Nai Yun.

In: Environmental Sciences: Processes and Impacts, Vol. 15, No. 8, 01.08.2013, p. 1613-1621.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

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AU - Ou, Hua Se

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AU - Gao, Nai Yun

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SN - 2050-7887

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