Characterizing natural organic material from the Occoquan Watershed (Northern Virginia, US) using fluorescence spectroscopy and PARAFAC

Holbrook, R. David; Yen, James H.; Grizzard, Thomas J.

doi:10.1016/j.scitotenv.2005.11.020

Cited by 121 publications

(69 citation statements)

References 47 publications

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“…Based on the monitoring program, the government has established a set of water quality standards to protect waterbodies and guide remediation activities. To fully understand water quality issues, many researchers have successfully investigated the application of multivariate and GIS analyses to address the spatial and temporal variations of water quality in various regions (Grande et al 2003;Mingoti and Lima 2006;Kallioinen et al 2006;Holbrook et al 2006;Singh et al 2006;Astel et al 2007;Shreshtha and Kazama 2007;Zhang et al 2009). Many of these studies have been able to geographically link water quality deterioration with specific human activities, which can then be used to guide remediation efforts.…”

Section: Introductionmentioning

confidence: 99%

Spatial and temporal variations of nitrogen pollution in Wen-Rui Tang River watershed, Zhejiang, China

Mei

Zhang

et al. 2010

Environ Monit Assess

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Water quality has degraded dramatically in Wen-Rui Tang River watershed, Zhejiang, China, especially due to rapid economic development since 1995. This paper aims to assess spatial and temporal variations of the main pollutants (NH + 4 -N, TN, BOD 5 , COD Mn , DO) of water quality in Wen-Rui Tang River watershed, using the geographic information system, cluster analysis (CA) and principal component analysis (PCA). Results showed that concentrations of BOD 5 , COD Mn , NH + 4 -N, and TN were significantly higher in tertiary rivers than in primary and secondary rivers. From April 2006 to March 2007, the concentrations of NH + 4 -N (2.25-57.9 mg/L) and TN (3.78-70.4 mg/L) in all samples exceeded Type V national water quality standards (≥2 mg/L), while 5.3% of all COD Mn (1.83-27.5 mg/L) and 4 -N and TN in tertiary rivers had a significant negative correlation with 5-day cumulative rainfall and monthly rainfall, while there were no significant correlations in primary and secondary rivers. The results of CA and spatial analysis showed that the northern part of WenRui Tang River watershed was the most seriously polluted. This region is characterized by the high population density and industrial and commercial activities. The PCA and spatial analysis indicated that the degraded water quality is caused by anthropogenic activities and poor wastewater management.

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Section: Introductionmentioning

confidence: 99%

Spatial and temporal variations of nitrogen pollution in Wen-Rui Tang River watershed, Zhejiang, China

Mei

Zhang

et al. 2010

Environ Monit Assess

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“…O algoritmo de análise de fatores paralelos (PARAFAC) foi utilizado com sucesso para tratar uma grande quantidade de amostras de matéria orgânica dissolvida fluorescente analisadas pela espectroscopia tridimensional MEE, levando à decomposição de um conjunto de compostos fluorescentes Markager, , 2005Holbrook et al, 2006). Devido às suas propriedades únicas, a modelagem por PARAFAC proporciona uma decomposição espectral singular, que é mais facilmente interpretável do que as decomposições bilineares (Luciani et al, 2008).…”

Section: O Método De Análise De Fatores Paralelos Ou Parafac Do Termounclassified

Estudo da matéria orgânica e composição elementar de solos arenosos de regiões próximas a São Gabriel da Cachoeira no Amazonas

Santos¹

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“…It is also used to estimate the differences between the samples. This approach provides additional information about optical properties of OM and their dynamic transformation in the natural environment (Cory and McKnight 2005;Stedmon and Markager 2005;Banaitis et al 2006;Holbrook et al 2006;Wedborg et al 2007;Yamashita et al 2008;Fellman et al 2008;Ohno et al 2008;Stedmon and Bro 2008;Santín et al 2009;Murphy et al 2010;Borisover et al 2012;Wünsch et al 2015).…”

Section: Introductionmentioning

confidence: 99%

Optical characteristic of humic acids from lake sediments by excitation-emission matrix fluorescence with PARAFAC model

Mielnik

Kowalczuk

2018

J Soils Sediments

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Purpose The study aimed to find out whether fluorescence parameters of humic acids (HA), obtained from excitation-emission matrix (EEM) fluorescence spectra, could be used to explain the origin and properties of lake sediments organic matter. Materials and methods The research material was HA extracted from lake sediments. Sediment samples were collected in the summer stagnation, from maximum depth of each lake. Humic acids extraction was performed using the method proposed by the International Humic Substances Society. In extracted HA, the elemental composition, free radical content, UV-Vis, and EEM fluorescence spectra were determined. EEM spectral modeling was performed using a multidirectional statistical methodparallel factor analysis PARAFAC. Results and discussion Four specific, two protein-like (C2 and C4) and humic-and fulvic-like (C1 and C3) components, components responsible for emission of fluorescence were identified in HA extracted from lake sediments. In the obtained EEM spectra, the dominant component was C2, while the smallest participation have C4 component. The mean contribution of C3 and C1 components to the total intensity of fluorescence was almost the same and was about 25%. Significant correlations were obtained between the concentration of EEM components and parameters characterizing the chemical properties of sediments and humic acids. Conclusions The study showed that the EEM fluorescence spectroscopy can be successfully used to characterize natural organic matter in aquatic environments. This method may provide supplementary information on the origin and transformation of organic matter in the water environments. By applying the parameters obtained from PARAFAC modeling, the relative degree of organic matter transformation (component C1) and autotrophic productivity (component C3) may be assessed. The analysis of the component C1 and C4 complete the information about the organic matter origin.

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Characterizing natural organic material from the Occoquan Watershed (Northern Virginia, US) using fluorescence spectroscopy and PARAFAC

Cited by 121 publications

References 47 publications

Spatial and temporal variations of nitrogen pollution in Wen-Rui Tang River watershed, Zhejiang, China

Spatial and temporal variations of nitrogen pollution in Wen-Rui Tang River watershed, Zhejiang, China

Estudo da matéria orgânica e composição elementar de solos arenosos de regiões próximas a São Gabriel da Cachoeira no Amazonas

Optical characteristic of humic acids from lake sediments by excitation-emission matrix fluorescence with PARAFAC model

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