Modelling of the relationship moisture content to nutrient transformation rate in river sediments
The modelling of the transformation processes in the river sediments is an important and still not investigated problem that is a key for water quality. The relation between nutrients transformation rate and moisture in sediments was investigated by means of analogous modelling. The mathematical dep...
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Veröffentlicht in: | Ecological modelling 2009-12, Vol.220 (23), p.3325-3330 |
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Sprache: | eng |
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Zusammenfassung: | The modelling of the transformation processes in the river sediments is an important and still not investigated problem that is a key for water quality. The relation between nutrients transformation rate and moisture in sediments was investigated by means of analogous modelling. The mathematical dependences of the connection were derived, and only two of them were linear—at the early stage of COD (organic) change and at the late stage of transformation of phosphates that metabolically connected the biodegradation of organics with oxidative phosphorylation. The rest mathematical dependences were the polynomials of third order. This study confirmed that the leading factors which influence the transformation rate of nutrients are the sediment surface, particular organic matter and porosity of the medium, as well as the concentration on the sediment surface of micro-organisms, enzymes, co-metabolites, etc. The presented data from ecological modelling of the transformation processes in the parafluvial sediments showed how can the hydrological models be enlarged and enriched in their application to the key and critical (risk) fluctuations in the river functioning. The mathematical dependences and coefficients were extracted in our complex study to be included in HSPF model as an enlarged module. As far as the investigated transformation processes in the parafluvial have more universal significance, the results can be applied in the other models, bounded river water and sediment quality. |
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ISSN: | 0304-3800 1872-7026 |
DOI: | 10.1016/j.ecolmodel.2009.08.011 |