River continuum relationships in an 8th-order river reach: Analyses of polar ordination, functional groups, and organic matter parameters

Hydrobiologia ◽  
1985 ◽  
Vol 127 (3) ◽  
pp. 277-285 ◽  
Author(s):  
D. A. Bruns ◽  
G. Wayn Minshall
Keyword(s):  
Organic Matter ◽  
Functional Groups ◽  
River Continuum ◽  
Polar Ordination ◽  
River Reach

Trends in particulate organic matter fluxes, community processes and macroinvertebrate functional groups along a Great Lakes Drainage Basin river continuum

1981 ◽  
Vol 21 (2) ◽  
pp. 841-849 ◽  
Author(s):  
Kenneth W. Cummins ◽  
Michael J. Klug ◽  
G. Milton Ward ◽  
George L. Spengler ◽  
Robert W. Speaker ◽  
...  
Keyword(s):  
Organic Matter ◽  
Great Lakes ◽  
Functional Groups ◽  
Particulate Organic Matter ◽  
Drainage Basin ◽  
River Continuum ◽  
Community Processes

scholarly journals Characterization of functional groups in estuarine dissolved organic matter by DNP‐enhanced 15N and 13C solid‐state NMR

ChemPhysChem ◽  
2021 ◽  
Author(s):  
Florian Venel ◽  
Hiroki Nagashima ◽  
Andrew G.M. Rankin ◽  
Christelle Anquetil ◽  
Vytautas Klimavicius ◽  
...  
Keyword(s):  
Organic Matter ◽  
Solid State ◽  
Dissolved Organic Matter ◽  
Functional Groups ◽  
Solid State Nmr

scholarly journals River Reach Delineations and Beaver Movement in Grand Teton National Park

2015 ◽  
Vol 38 ◽  
pp. 37-47
Author(s):  
William Gribb ◽  
Henry Harlow
Keyword(s):  
National Park ◽  
Single Channel ◽  
Wave Length ◽  
Theoretical Background ◽  
Three Dimensions ◽  
Snake River ◽  
River Continuum ◽  
Grand Teton National Park ◽  
Meandering Channel ◽  
River Reach

This project had two components, with the first component providing a background for the second component. Water resources in Grand Teton National Park (GTNP) are both unregulated and regulated by human management. The Jackson Lake Dam and the ponds scattered across the park influence the flow of water. In the process of managing the water it is important to have knowledge of the different components of the streams through which the water flows. One component of this project was to examine the different segments of the major rivers in GTNP and identify the river forms that are displayed by the different reaches of the Snake River above and below Jackson Lake, Buffalo Fork and Pacific Creek. The river form can be segregated into three main categories; the single channel, the meandering channel and the braided channel (Knighton 1984). The different river forms are part of the overall structural composition of the river and can be used to delineate the segments or reaches of the river. The river continuum concept presented by Vannote et al. (1980) provides a theoretical background upon which to construct the river reach system. In 2007, Nelson (2007) completed a reach system project while investigating the fluvial geomorphology of the Snake River below Jackson Lake Dam (Figure 1.). His 20 river reaches provided a zonation of the river that incorporated a range of geomorphic features. This same type of system can be used throughout the GTNP so that researchers have a common spatial unit designation when referencing portions of the Snake River and its tributaries. Ackers (1988) in his work on alluvial channel hydraulics identified three dimensions of meanders that should be considered; width, depth and slope. He further agreed with Hey (1978) that there are nine factors that define river geometry and that these should be considered as well: average bank full velocity, hydraulic mean depth, maximum bank full depth, slope, wave length of bed forms, their mean height, bank full wetted perimeter, channel sinuousity and arc length of meanders. Nelson’s work (Nelson 2007) added another parameter by including a braiding index into the representation of river reach designations. In a more recent work, the Livers and Wohl (2014) study confirmed Nelson’s approach by comparing reach characteristics between glacial and fluvial process domains using similar reach designation characteristics to determine reach differences.

scholarly journals Analysis of functional groups in atmospheric aerosols by infrared spectroscopy: method development for probabilistic modeling of organic carbon and organic matter concentrations

2020 ◽  
Vol 13 (3) ◽  
pp. 1517-1538
Author(s):  
Charlotte Bürki ◽  
Matteo Reggente ◽  
Ann M. Dillner ◽  
Jenny L. Hand ◽  
Stephanie L. Shaw ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Organic Matter ◽  
Organic Carbon ◽  
Functional Groups ◽  
Method Development ◽  
Estimation Method ◽  
Chemical Species ◽  
Monitoring Network ◽  
Ftir Spectra ◽  
Absorption Bands

Abstract. The Fourier transform infrared (FTIR) spectra of fine particulate matter (PM2.5) contain many important absorption bands relevant for characterizing organic matter (OM) and obtaining organic matter to organic carbon (OM∕OC) ratios. However, extracting this information quantitatively – accounting for overlapping absorption bands and relating absorption to molar abundance – and furthermore relating abundances of functional groups to that of carbon atoms poses several challenges. In this work, we define a set of parameters that model these relationships and apply a probabilistic framework to identify values consistent with collocated field measurements of thermal–optical reflectance organic carbon (TOR OC). Parameter values are characterized for various sample types identified by cluster analysis of sample FTIR spectra, which are available for 17 sites in the Interagency Monitoring of Protected Visual Environments (IMPROVE) monitoring network (7 sites in 2011 and 10 additional sites in 2013). The cluster analysis appears to separate samples according to predominant influence by dust, residential wood burning, wildfire, urban sources, and biogenic aerosols. Functional groups calibrations of aliphatic CH, alcohol COH, carboxylic acid COOH, carboxylate COO, and amine NH2 combined together reproduce TOR OC concentrations with reasonable agreement (r=0.96 for 2474 samples) and provide OM∕OC values generally consistent with our current best estimate of ambient OC. The mean OM∕OC ratios corresponding to sample types determined from cluster analysis range between 1.4 and 2.0, though ratios for individual samples exhibit a larger range. Trends in OM∕OC for sites aggregated by region or year are compared with another regression approach for estimating OM∕OC ratios from a mass closure equation of the major chemical species contributing to PM fine mass. Differences in OM∕OC estimates are observed according to estimation method and are explained through the sample types determined from spectral profiles of the PM.

Interactions between typical functional groups of soil organic matter and mica (001) surface: A DFT study

2022 ◽  
Vol 216 ◽  
pp. 106374
Author(s):  
Hongping Zhang ◽  
Meng Chen ◽  
Chenghua Sun ◽  
Youhong Tang ◽  
Yuxiang Ni ◽  
...  
Keyword(s):  
Organic Matter ◽  
Soil Organic Matter ◽  
Functional Groups ◽  
Dft Study

Complexation of Arsenite, Arsenate, and Monothioarsenate with Oxygen-Containing Functional Groups of Natural Organic Matter: An XAS Study

2019 ◽  
Vol 53 (18) ◽  
pp. 10723-10731 ◽  
Author(s):  
Ashis Biswas ◽  
Johannes Besold ◽  
Carin Sjöstedt ◽  
Jon Petter Gustafsson ◽  
Andreas C. Scheinost ◽  
...  
Keyword(s):  
Organic Matter ◽  
Functional Groups ◽  
Natural Organic Matter

Pyrolysis behaviors of organic matter (OM) with the same alkyl main chain but different functional groups in the presence of clay minerals

2018 ◽  
Vol 153 ◽  
pp. 205-216 ◽  
Author(s):  
Hongmei Liu ◽  
Peng Yuan ◽  
Dong Liu ◽  
Hongling Bu ◽  
Hongzhe Song ◽  
...  
Keyword(s):  
Organic Matter ◽  
Clay Minerals ◽  
Functional Groups ◽  
Main Chain
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