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Reservoirs as sentinels of catchments: the Rappbode Reservoir Observatory (Harz Mountains, Germany)

Authors :
Martin Schultze
Olaf Büttner
Karsten Rink
Katrin Wendt-Potthoff
Maren Dietze
Kristine Rinke
Peter Herzsprung
Helmut Rönicke
Lothar Paul
Karsten Rinke
Marco Matthes
Serghei A. Bocaniov
Burkhard Kuehn
Jörg Tittel
Kurt Friese
Source :
Environmental Earth Sciences. 69:523-536
Publication Year :
2013
Publisher :
Springer Science and Business Media LLC, 2013.

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.

Details

ISSN :
18666299 and 18666280
Volume :
69
Database :
OpenAIRE
Journal :
Environmental Earth Sciences
Accession number :
edsair.doi...........69b6f0949243a0cfe5dd48acecac7300
Full Text :
https://doi.org/10.1007/s12665-013-2464-2