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A dynamic mass-balance model for phosphorus in lakes with a focus on criteria for applicability and boundary conditions
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Geovetenskapliga sektionen, Institutionen för geovetenskaper, Luft- och vattenlära. (Miljöanalys)
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Geovetenskapliga sektionen, Institutionen för geovetenskaper, Luft- och vattenlära. (Miljöanalys)
2008 (engelsk)Inngår i: Water, Air and Soil Pollution, ISSN 0049-6979, E-ISSN 1573-2932, Vol. 187, nr 1-4, s. 119-147Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

This paper presents an improved version of a general, process-based mass-balance model (LakeMab/LEEDS) for phosphorus in entire lakes (the ecosystem scale). The focus in this work is set on the boundary conditions, i.e., the domain of the model, and critical tests to reveal those boundary conditions using data from a wide limnological range. The basic structure of the model, and many key equations have been presented and motivated before, but this work presents several new developments. The LakeMab-model is based on ordinary differential equations regulating inflow, outflow and internal fluxes and the temporal resolution is one month to reflect seasonal variations. The model consists of four compartments: surface water, deep water, sediment on accumulation areas and sediment on areas of erosion and transportation. The separation between the surface-water layer and the deep-water layer is not done from water temperature data, but from sedimentological criteria (from the theoretical wave base, which regulates where wind/wave-induced resuspension of fine sediments occurs). There are algorithms for processes regulating internal fluxes and internal loading, e.g., sedimentation, resuspension, diffusion, mixing and burial. Critical model tests were made using data from 41 lakes of very different character and the results show that the model could predict mean monthly TP-concentrations in water very well (generally within the uncertainty bands given by the empirical data). The model is even easier to apply than the well-known OECD and Vollenweider models due to more easily accessed driving variables.

sted, utgiver, år, opplag, sider
2008. Vol. 187, nr 1-4, s. 119-147
HSV kategori
Identifikatorer
URN: urn:nbn:se:uu:diva-96951DOI: 10.1007/s11270-007-9502-1ISI: 000251322200011OAI: oai:DiVA.org:uu-96951DiVA, id: diva2:171696
Tilgjengelig fra: 2010-06-02 Laget: 2008-03-13 Sist oppdatert: 2017-12-14bibliografisk kontrollert
Inngår i avhandling
1. Quantitative Understanding and Prediction of Lake Eutrophication
Åpne denne publikasjonen i ny fane eller vindu >>Quantitative Understanding and Prediction of Lake Eutrophication
2008 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
Abstract [en]

Many lakes around the world have been exposed to increased nutrient input from anthropogenic sources such as sewage discharge and runoff from fertilised agricultural areas. This has led to eutrophication, manifested as intensified algal blooms, murky waters, oxygen depleted lake bottoms, and alterations of considerable parts of the foodweb. However, many of these lakes have also recovered, due to improved nutrient abatement techniques and to an improved quantitative scientific understanding of eutrophication and its causes. General, predictive models have played a crucial role in the latter development, as they have made it possible to quantitatively assess expected ecosystem changes from various planned actions against eutrophication.

The present thesis has been aimed at improving the domain of validity and predictive power of a general, dynamic total phosphorus (TP) model (LakeMab) and to provide the basis for constructing a similar model for total nitrogen (TN). Among the findings in the thesis is that dissolved nitrogen gas is probably always available in excess for nitrogen fixation and nitrogen modelling in eutrophication contexts. Two papers have laid the ground for improved nutrient modelling in calcareous lakes, where sedimentation is particularly pronounced. Static models for predicting concentrations of particulate phosphorus, nitrogen, and organic carbon have been presented that may be incorporated into sedimentation algorithms in dynamic nutrient models. Boundary conditions for various flux algorithms have made it possible to greatly expand the domain of LakeMab for TP. The typical uncertainty of TP concentration values is 17% when predicted with LakeMab, whereas the uncertainty in predictions using older, static models is about twice as high.

LakeMab may be very useful for resolving practical issues such as predicting climate-induced eutrophication and drawing up operational guidelines for achieving good water quality as prescribed by, e.g., the European Water Framework Directive.

sted, utgiver, år, opplag, sider
Uppsala: Universitetsbiblioteket, 2008. s. 38
Serie
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 415
HSV kategori
Identifikatorer
urn:nbn:se:uu:diva-8593 (URN)978-91-554-7143-9 (ISBN)
Disputas
2008-04-18, Hambergssalen, Institutionen för geovetenskaper, Villavägen 16, Uppsala, 10:00 (engelsk)
Opponent
Veileder
Tilgjengelig fra: 2008-03-13 Laget: 2008-03-13 Sist oppdatert: 2009-03-30bibliografisk kontrollert

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