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Updated: May 14, 2026

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Laboratory-determined Phosphorus Flux from Lake Sediments as a Measure of Internal Phosphorus Loading
Published on: March 6, 2014
Prediction of reference phosphorus concentrations in Swedish lakes
1Swedish University of Agricultural Sciences, Department of Aquatic Sciences and Assessment, Box 7050, 75007 Uppsala, Sweden.
Environmental Science & Technology
|January 31, 2013
Summary
A new model predicts total phosphorus (TP) in Swedish lakes using light absorbance and altitude. Adding a natural particulate matter factor (PM(n)) accurately estimates TP, helping identify human-caused pollution.
Area of Science:
- Environmental Science
- Limnology
- Water Quality Assessment
Background:
- Total phosphorus (TP) is a key indicator of lake water quality.
- Predicting TP concentrations is crucial for managing aquatic ecosystems, especially in lakes with varying turbidity.
- Existing models may not adequately capture TP dynamics in naturally turbid lakes.
Purpose of the Study:
- To examine the relationship between total phosphorus (TP) and various environmental variables in Swedish reference lakes.
- To develop a predictive model for TP concentrations that accounts for natural factors.
- To establish a method for identifying culturally eutrophic lakes based on reference TP levels.
Main Methods:
- Analysis of TP concentrations against chemical, climatic, morphological, and geographic variables in over a thousand Swedish lakes.
- Development of a natural particulate matter factor (PM(n)) to account for suspended matter.
- Validation of a three-parameter model using lakes with known anthropogenic phosphorus loads.
Main Results:
- Significant relationships were found between TP and absorbance of irradiance (420 nm) and altitude.
- The addition of PM(n) significantly improved TP prediction accuracy (R(2) = 0.71).
- The developed model successfully identified culturally eutrophic lakes.
Conclusions:
- A robust three-parameter model can accurately estimate reference TP concentrations in diverse lake types.
- The model aids in distinguishing natural TP levels from anthropogenic impacts.
- It provides a target for phosphorus reduction to restore natural trophic states in lakes.

