HR: 0800h
AN: B51B-0378    [Abstracts]
TI: Linking water quality to water quantity: Integration of disturbance variables such as phytoplankton and turbidity into the management strategies of drinking water reservoirs
AU: * Rolinski, S
EM: susanne.rolinski@tu-dresden.de
AF: Institute of Hydrobiology, Dresden University of Technology, Helmholtzstrasse 10, Dresden, 01062, Germany
AU: Petzoldt, T
EM: thomas.petzoldt@tu-dresden.de
AF: Institute of Hydrobiology, Dresden University of Technology, Helmholtzstrasse 10, Dresden, 01062, Germany
AU: Hillert, K
EM: KatrinHillert@gmx.de
AF: Institute of Hydrobiology, Dresden University of Technology, Helmholtzstrasse 10, Dresden, 01062, Germany
AU: Paul, L
EM: lothar.paul@tu-dresden.de
AF: Neunzehnhain Ecological Station, Dresden University of Technology, Neunzehnhainer Str. 14, Lengefeld, 09514, Germany
AU: Benndorf, J
EM: juergen.benndorf@tu-dresden.de
AF: Institute of Hydrobiology, Dresden University of Technology, Helmholtzstrasse 10, Dresden, 01062, Germany
AB: So far, seasonal management strategies for water withdrawal from drinking water reservoirs in Germany are based on the hydrological regime and use Monte-Carlo-simulations in order to provide recommendations with certain probability thresholds. Long-term experience on the annual development and composition of phytoplankton is used for ad-hoc adjustments in case of unexpected events. In the framework of the project INTEGTA ('Integrated management of reservoirs') knowledge on the biological and chemical freshwater ecosystem will be integrated into the widely used management system TALSIM. On the one hand, field studies on the reservoir system Klingenberg-Lehnmuehle are carried out in order to investigate the seasonal development and the dispersion of flood events in the major drinking water supply of Dresden, Saxony. The system consists of two closely linked reservoirs which are connected to other water storages so that many possibilities for water supply exist. In the year 2007, an early hot spring and lower than average precipitation resulted in a summerly water deficiency in Klingenberg reservoir which was met with increased supply with a time lag of one month. Though the inflowing water was of high quality and low temperature, the quality of the raw water could not be stabilized on the desired level and caused the request for an administrative fine. Thus, 2007 can be taken as a good example for studying the effect of delayed management activities. On the other hand, simulations by the coupled hydrodynamical ecological model SALMO will provide the basis to include water quality predictions into the decision system for the reservoir. Hydrological scenarios from the decision support system TALSIM are used as boundary conditions for the water quality model so that consistent predictions for the development of the water quantity and quality are derived. The output of the simulations are statistically analyzed with respect to (i) securing a sufficient water volume, (ii) increase/decrease of phytoplankton biomass, (iii) shifts in the phytoplankton community and (iv) increase/decrease of oxygen deficiency. These are transformed into management rules that can be included in TALSIM. The hydrological scenarios are designed in order to cover a wide range of meteorological situations including changes in the climatic conditions. Thus, the system will allow for the consideration of water quality issues under extreme events such as droughts and floods as well as under conditions of climate change.
DE: 0414 Biogeochemical cycles, processes, and modeling (0412, 0793, 1615, 4805, 4912)
DE: 0429 Climate dynamics (1620)
DE: 0458 Limnology (1845, 4239, 4942)
DE: 0466 Modeling
DE: 1857 Reservoirs (surface)
SC: Biogeosciences [B]
MN: 2007 Fall Meeting