Assessing WHAM/Model VII against field measurements of free metal ion concentrations: model performance and the role of uncertainty in parameters and inputs

Lofts, Stephen ORCID: https://orcid.org/0000-0002-3627-851X; Tipping, Edward ORCID: https://orcid.org/0000-0001-6618-6512. 2011 Assessing WHAM/Model VII against field measurements of free metal ion concentrations: model performance and the role of uncertainty in parameters and inputs. Environmental Chemistry, 8 (5). 501-516. https://doi.org/10.1071/EN11049

Before downloading, please read NORA policies.

Preview

Text N015323PR.pdf Download (538kB)

Abstract/Summary

A key question in the evaluation of chemical speciation models is: how well do model predictions compare against speciation measurements? To address this issue, the performance of WHAM/Model VII in predicting free metal ion concentrations in field samples has been evaluated. A statistical sampling method considering uncertainties in input measurements, model parameters and the binding activity of dissolved organic matter was used to generate distributions of predicted free ion concentrations. Model performance varied with the metal considered and the analytical technique used to measure the free ion. Generally, the best agreement between observation and prediction was seen for aluminium, cobalt, nickel, zinc and cadmium. Important differences in agreement between model and observations were seen, depending upon the analytical technique. In particular, concentrations of free ion determined with voltammetric techniques were largely over-predicted by the model. Uncertainties in model predictions varied among metals. Only for aluminium could discrepancies between observation and model could be explained by uncertainties in input measurements and model parameters. For the other metals, the ranges of model predictions were mostly too small to explain the discrepancies between model and observation. Incorporating the effects of uncertainty into speciation model predictions allows for more rigorous assessment of model performance.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1071/EN11049
Programmes:	CEH Topics & Objectives 2009 - 2012 > Biogeochemistry > BGC Topic 2 - Biogeochemistry and Climate System Processes > BGC - 2.1 - Quantify & model processes that control the emission, fate and bioavailability of pollutants
UKCEH and CEH Sections/Science Areas:	Shore
ISSN:	1448-2517
Additional Information. Not used in RCUK Gateway to Research.:	The publishers' definitive version can be found at: http://www.publish.csiro.au
NORA Subject Terms:	Ecology and Environment Chemistry
Date made live:	19 Oct 2011 14:40 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/15323

Actions (login required)

View Item

Document Downloads

More statistics for this item...