Literature DB >> 26580726

Improved automation of dissolved organic carbon sampling for organic-rich surface waters.

Richard P Grayson1, Joseph Holden2.   

Abstract

In-situ UV-Vis spectrophotometers offer the potential for improved estimates of dissolved organic carbon (DOC) fluxes for organic-rich systems such as peatlands because they are able to sample and log DOC proxies automatically through time at low cost. In turn, this could enable improved total carbon budget estimates for peatlands. The ability of such instruments to accurately measure DOC depends on a number of factors, not least of which is how absorbance measurements relate to DOC and the environmental conditions. Here we test the ability of a S::can Spectro::lyser™ for measuring DOC in peatland streams with routinely high DOC concentrations. Through analysis of the spectral response data collected by the instrument we have been able to accurately measure DOC up to 66 mg L(-1), which is more than double the original upper calibration limit for this particular instrument. A linear regression modelling approach resulted in an accuracy >95%. The greatest accuracy was achieved when absorbance values for several different wavelengths were used at the same time in the model. However, an accuracy >90% was achieved using absorbance values for a single wavelength to predict DOC concentration. Our calculations indicated that, for organic-rich systems, in-situ measurement with a scanning spectrophotometer can improve fluvial DOC flux estimates by 6 to 8% compared with traditional sampling methods. Thus, our techniques pave the way for improved long-term carbon budget calculations from organic-rich systems such as peatlands.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Absorbance; Carbon fluxes; DOC; Peatlands; Spectrophotometer

Year:  2015        PMID: 26580726     DOI: 10.1016/j.scitotenv.2015.10.149

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  High frequency UV-Vis sensors estimate error in riverine dissolved organic carbon load estimates from grab sampling.

Authors:  J P Ritson; O Kennedy-Blundell; J Croft; M R Templeton; C E Hawkins; J M Clark; M G Evans; R E Brazier; D Smith; N J D Graham
Journal:  Environ Monit Assess       Date:  2022-09-26       Impact factor: 3.307

2.  Diurnal Patterns in Solute Concentrations Measured with In Situ UV-Vis Sensors: Natural Fluctuations or Artefacts?

Authors:  Suzanne R Jacobs; Björn Weeser; Mariana C Rufino; Lutz Breuer
Journal:  Sensors (Basel)       Date:  2020-02-06       Impact factor: 3.576

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.