Hydrology and Earth System Sciences www.hydrol-earth-syst-sci.net 1027-5606 1607-7938 7 4 2003 10.5194/hess-7-552-2003 http://www.hydrol-earth-syst-sci.net/7/552/2003/ http://www.hydrol-earth-syst-sci.net/7/552/2003/hess-7-552-2003.html http://www.hydrol-earth-syst-sci.net/7/552/2003/hess-7-552-2003.pdf 552 560 0000-00-00 Modelling sulphate stream concentrations in the Black Forest catchments Schluchsee and Villingen A. Prechtel M. Armbruster E. Matzner Department of Soil Ecology, BITÖK, University of Bayreuth, D-95440 Bayreuth, Germany Institute of Soil Science, Technical University of Dresden, D-01735 Tharandt, Germany The sulphate (SO₄) released by mineralisation and desorption from soil can play an important role in determining concentrations of SO₄ in streams. The MAGIC model was calibrated for two catchments in the Black Forest, Germany (Schluchsee and Villingen) and SO₄ concentrations in the streams for the years 2016 and 2030 were predicted. Special emphasis was placed on the dynamics of soil sulphur (S) pools. At Schluchsee, 90% of soil S is stored in the organic S (S_org) pool, whereas at Villingen, 54% is in the inorganic (S_inorg) pool. The Villingen stream chemistry was modelled successfully by measured Langmuir isotherm parameters (LIPs) for S_inorg. Schluchsee data could not be modelled satisfactorily using measured or freely adapted LIPs only, as the S_inorg pool would have to be more than five times larger than what was measured. With 60.5 mmol_c SO₄ m^-2 yr^-1 as internal soil source by mineralisation and the measured LIPs, stream data was modelled successfully. The modelling shows that in these two catchments pre-industrial concentrations of SO₄ in runoff can be reached in the next two decades if S deposition decreases as intended under currently agreed national and international legislation. S_org is the most likely dominant source of SO₄ released at Schluchsee. Mineralization from the S_org pool must be included when modelling SO₄ concentrations in the stream. As the dynamics and the controlling factors of S release by mineralisation are not yet clear, this process remains a source of uncertainty for predictions of SO₄ concentrations in streams. Future research should concentrate on dynamics of S mineralisation in the field, such that mathematical descriptions of long-term S-mineralisation can be incorporated into biogeochemical models.</p> <p style="line-height: 20px;"><b>Keywords: </b>sulphate release, organic S, mineralisation, acidification, recovery, modelling, MAGIC, catchments, predictions, Germany, forest