scholarly journals Dissolved organic matter export from a forested watershed during Hurricane Irene

2012 ◽  
Vol 39 (18) ◽  
Author(s):  
Byungman Yoon ◽  
Peter A. Raymond
2016 ◽  
Vol 67 (9) ◽  
pp. 1313 ◽  
Author(s):  
Richard L. Miller ◽  
Matthew M. Brown ◽  
Ryan P. Mulligan

Rivers are major conduits for the transport of allochthonous dissolved organic matter (DOM) to the ocean in coupled land–coastal systems. DOM can regulate biogeochemical processes and affect water quality, depending on the concentration and quality of DOM. By using spectral parameters calculated from chromophoric dissolved organic matter (CDOM) ultraviolet-visible absorption spectra, along with dissolved organic carbon (DOC) concentrations, we examined the input and change in the amount and quality of DOM in surface waters of the lower Neuse River and upper–middle regions of the Neuse Estuary following a major rainfall (30cm in 1 day) associated with Hurricane Irene (2011). CDOM and DOC nearly tripled in the 3 days following the storm. Although a strong linear relationship was observed between DOC and CDOM absorption coefficient at 350nm (R2=0.85), a higher fraction of non-chromophoric DOC to CDOM was observed during the rising river discharge. The spectral slope at 275–295nm and the slope ratio (275–295:350–400nm) indicated a shift from higher to lower molecular-weight DOM as it transited through the estuary, probably as a result of photodegradation. The present study demonstrated the utility of using CDOM spectral parameters for examining the flux and transformation of DOM in coastal waters following major rain events.


2013 ◽  
Vol 2013 ◽  
pp. 1-16 ◽  
Author(s):  
Shatrughan Singh ◽  
Shreeram Inamdar ◽  
Durelle Scott

The composition of dissolved organic matter (DOM) in a mid-Atlantic forested watershed was evaluated using two fluorescence models—one based on previously validated model (Cory and McKnight, 2005) and the other developed specifically for our study site. DOM samples for the models were collected from multiple watershed sources over a two-year period. The previously validated parallel factor analysis (PARAFAC) model had 13 DOM components whereas our site-specific model yielded six distinct components including two terrestrial humic-like, two microbial-derived humic-like, and two protein-like components. The humic-like components were highest in surficial watershed sources and decreased from soil water to groundwater whereas the protein-like components were highest for groundwater sources. Discriminant analyses indicated that our site-specific model was more sensitive to subtle differences in DOM and the sum of the humic- and protein-like constituents yielded more pronounced differences among watershed sources as opposed to the prevalidated model. Dissolved organic carbon (DOC) and dissolved organic nitrogen (DON) concentrations and selected DOM metrics were also more strongly correlated with the site-specific model components. These results suggest that while the pre-validated model may capture broader trends in DOM composition and allow comparisons with other study sites, a site-specific model will be more sensitive for characterizing within-site differences in DOM.


2012 ◽  
Vol 48 (5) ◽  
Author(s):  
Na Xu ◽  
James E. Saiers ◽  
Henry F. Wilson ◽  
Peter A. Raymond

2007 ◽  
Vol 21 (4) ◽  
pp. n/a-n/a ◽  
Author(s):  
A. S. Prokushkin ◽  
G. Gleixner ◽  
W. H. McDowell ◽  
S. Ruehlow ◽  
E.-D. Schulze

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