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Should a water colour parameter be included in lake total phosphorus prediction models used for the Water Framework Directive?

Oliver, I; Vinogradoff, SI

Should a water colour parameter be included in lake total phosphorus prediction models used for the Water Framework Directive? Thumbnail


Authors

SI Vinogradoff



Abstract

Under the Water Framework Directive (WFD) lakes are classified according to a variety of criteria. This classification facilitates state of the environment assessments and helps identify work needed to achieve the objectives of the WFD, which are broadly to maintain and/or restore water quality and ecological status at a level recognised as good or high. To achieve high or good status, lakes must meet a criterion for total phosphorus (TP) that is linked to a predicted reference condition value that is derived by various models. Lakes which fail to meet good status may require expensive remedial actions to be undertaken, thus accurate identification of the reference condition TP concentration is vital for effective environmental management. However, the models currently employed could be improved for some regions, particularly those with carbon rich soils. By examining 19 reference condition lakes (i.e. lakes essentially non-impacted by humans) in peaty areas of Scotland, we found that a simple parameter linked to water colour and humic substances was a better predictor of TP than the currently employed models (R(2) 0.585 vs R(2) < 0.01). Therefore, for Scotland and elsewhere, in regions with carbon rich soils and lakes with humic waters the TP predictive models could be improved by development and incorporation of a parameter related to water colour and humic components.

Acceptance Date Sep 9, 2014
Publication Date Jan 1, 2015
Publicly Available Date Mar 29, 2024
Journal Journal of Environmental Management
Print ISSN 0301-4797
Publisher Elsevier
Pages 81 - 86
DOI https://doi.org/10.1016/j.jenvman.2014.09.012
Keywords Nutrients; DOC; Hazen; River basin management planning; Unit conversion; SEPA
Publisher URL https://www.sciencedirect.com/science/article/pii/S0301479714004514?via%3Dihub

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