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Water quality in the Elbe estuary: Significance of different processes for the oxygen deficit at Hamburg
Abstract A simple zero‐dimensional model was developed which describes the oxygen concentrations and major nutrient processes in the tidal influenced Elbe estuary. The model was calibrated by way of comparison with continuous measurements of the oxygen‐ and chlorophyll concentrations at the non‐tidal part of the estuary. A special calibration method was applied which utilised the fact that natural steady‐state conditions are often found during which the range and the average value of the day–night fluctuations remain constant over a period of several days. Subsequent model runs were carried out to simulate the oxygen concentrations downstream, i.e., after a few days of transport time of the water body. The varying depth of the Elbe downstream of Hamburg harbour was taken into account by altering the model parameters ‘light penetration’ and ‘aeration’. The oxygen concentrations resulting from the model showed a distinct minimum, which agreed well with the minimum measured in longitudinal profiles, thus indicating that the occurrence of the oxygen minimum in the Elbe estuary can mainly be explained by the processes included in our simple model. Sensitivity checks identified some relationships, e.g., light intensity ↔ growth rate, which are critical for the oxygen balance. With this work it could be demonstrated that even simple zero‐dimensional models can improve our understanding of the complex interrelationship of different physical, chemical and biological processes in rivers and that such models can be used for simple scenarios in water quality management.
Water quality in the Elbe estuary: Significance of different processes for the oxygen deficit at Hamburg
Abstract A simple zero‐dimensional model was developed which describes the oxygen concentrations and major nutrient processes in the tidal influenced Elbe estuary. The model was calibrated by way of comparison with continuous measurements of the oxygen‐ and chlorophyll concentrations at the non‐tidal part of the estuary. A special calibration method was applied which utilised the fact that natural steady‐state conditions are often found during which the range and the average value of the day–night fluctuations remain constant over a period of several days. Subsequent model runs were carried out to simulate the oxygen concentrations downstream, i.e., after a few days of transport time of the water body. The varying depth of the Elbe downstream of Hamburg harbour was taken into account by altering the model parameters ‘light penetration’ and ‘aeration’. The oxygen concentrations resulting from the model showed a distinct minimum, which agreed well with the minimum measured in longitudinal profiles, thus indicating that the occurrence of the oxygen minimum in the Elbe estuary can mainly be explained by the processes included in our simple model. Sensitivity checks identified some relationships, e.g., light intensity ↔ growth rate, which are critical for the oxygen balance. With this work it could be demonstrated that even simple zero‐dimensional models can improve our understanding of the complex interrelationship of different physical, chemical and biological processes in rivers and that such models can be used for simple scenarios in water quality management.
Water quality in the Elbe estuary: Significance of different processes for the oxygen deficit at Hamburg
Schroeder, Friedhelm (author)
Environmental Modeling & Assessment ; 2 ; 73-82
1997-06-01
10 pages
Article (Journal)
Electronic Resource
English
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