Modelling Phosphorus Retention in Lakes and Reservoirs
Steady-state models for the prediction of P retention coefficient (R) in lakes were evaluated using data from 93 natural lakes and 119 reservoirs situated in the temperate zone. Most of the already existing models predicted R relatively successfully in lakes while it was seriously under-estimated in...
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Published in | Water, air & soil pollution: Focus Vol. 6; no. 5-6; pp. 487 - 494 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Dordrecht : Kluwer Academic Publishers
01.12.2006
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Subjects | |
Online Access | Get full text |
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Summary: | Steady-state models for the prediction of P retention coefficient (R) in lakes were evaluated using data from 93 natural lakes and 119 reservoirs situated in the temperate zone. Most of the already existing models predicted R relatively successfully in lakes while it was seriously under-estimated in reservoirs. A statistical analysis indicated the main causes of differences in R between lakes and reservoirs: (a) distinct relationships between P sedimentation coefficient, depth, and water residence time; (b) existence of significant inflow-outflow P concentration gradients in reservoirs. Two new models of different complexity were developed for estimating R in reservoirs: [graphic removed] , where τ is water residence time (year), was derived from the Vollenweider/Larsen and Mercier model by adding a calibrated parameter accounting for spatial P non-homogeneity in the water body, and is applicable for reservoirs but not lakes, and [graphic removed] , where [Pin] is volume-weighted P concentration in all inputs to the water body (μg l-¹), was obtained by re-calibrating the OECD general equation, and is generally applicable for both lakes and reservoirs. These optimised models yield unbiased estimates over a large range of reservoir types. |
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Bibliography: | http://dx.doi.org/10.1007/s11267-006-9032-7 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Article-2 ObjectType-Feature-1 |
ISSN: | 1567-7230 1573-2940 |
DOI: | 10.1007/s11267-006-9032-7 |