Reservoirs as sentinels of catchments: the Rappbode Reservoir Observatory (Harz Mountains, Germany) |
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Authors: | Karsten Rinke Burkhard Kuehn Serghei Bocaniov Katrin Wendt-Potthoff Olaf Büttner Jörg Tittel Martin Schultze Peter Herzsprung Helmut Rönicke Karsten Rink Kristine Rinke Maren Dietze Marco Matthes Lothar Paul Kurt Friese |
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Affiliation: | 1. Department Lake Research, Helmholtz-Centre for Environmental Research, Brückstrasse 3a, 39114, Magdeburg, Germany 2. Department Aquatic Ecosystems Analysis and Management, Helmholtz-Centre for Environmental Research, Brückstrasse 3a, 39114, Magdeburg, Germany 3. Department Environmental Informatics, Helmholtz-Centre for Environmental Research, Permoserstrasse 15, 04318, Leipzig, Germany 4. Talsperrenbetrieb Sachsen-Anhalt, Timmenr?der Strasse 1a, 38889, Blankenburg, Germany 5. Fernwasserversorgung Elbaue-Ostharz GmbH, Wasserwerk Wienrode, Werkstra?e 1, 38889, Wienrode, Germany 6. Faculty of Forest-, Geo- and Watersciences, Dresden University of Technology, ?kologische Station Neunzehnhain, Neunzehnhainer Str. 14, 09514, Lengefeld, Germany
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Abstract: | Reservoirs can be viewed as sentinels of their catchments and a detailed monitoring of reservoir systems informs about biogeochemical and hydrological processes at the catchment scale. We developed a comprehensive online monitoring system at Rappbode reservoir, the largest drinking water reservoir in Germany, and its inflows. The Rappbode Reservoir Observatory comprises of a set of online-sensors for the measurement of physical, chemical, and biological variables and is complemented by a biweekly limnological sampling schedule. Measurement stations are deployed at the four major inflows into the system, at the outlets of all pre-reservoirs, as well as in the main reservoir. The newly installed monitoring system serves both scientific monitoring and process studies, as well as reservoir management. Particular emphasis is paid to the monitoring of short-term dynamics and many variables are measured at high temporal resolution. As an example, we quantitatively documented a flood event which mobilised high loads of dissolved organic carbon and changed the characteristics of the receiving reservoir from eutrophic to dystrophic within a few days. This event could have been completely missed by conventional biweekly sampling programs, but is relevant for biogeochemical fluxes at the catchment scale. We also show that the high frequency data provide a deeper insight into ecosystem dynamics and lake metabolism. The Rappbode Reservoir Observatory; moreover, offers a unique study site to apply, validate, and develop state of the art lake models to improve their predictive capabilities. |
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